50results about How to "Solve the unreasonable distribution" patented technology

An embodiment of the invention provides a resource scheduling method and a resource scheduling system and relates to the field of cloud calculation. The resource scheduling system comprises a management node and physical nodes. According to the resource scheduling method, by the aid of the management node, a resource set corresponding to each application program is acquired according to the scheduling policy of a user when an objection of a scheduling policy is achieved and then is sent to the each physical node; by the aid of each physical node, the minimum quantity of resources distributed to each virtual machine on the corresponding physical node are determined, the left quantity of resources are distributed to every virtual machine on the corresponding physical node proportionally, and the total quantity of resources obtained by each virtual machine after distribution are sent to the management node; by the aid of the management node, resource utilization rate of each physical node is acquired according to the corresponding total quantity of resources of each virtual machine and the current resource utilization amount of each virtual machine on the corresponding physical node, and resource load of each physical node is scheduled according to the resource utilization rate. The resource scheduling method and the resource scheduling system are applied to virtualized resource scheduling and can solve the problem of unreasonable resource distribution caused by an incompatible scheduling technology.

The invention relates to the technical field of optimized control for blast-furnace hot blast stoves, and discloses an optimized control system for a coal gas flow of a blast-furnace hot blast stove. The optimized control system is characterized in that a basic coal gas flow model, an arch-crown temperature protection model, a preferred-burning stove coal gas flow correction model, a single-burning coal gas flow correction model and a coal gas flow adjustor are arranged. According to the optimized control system, the problem of unreasonable distribution of the coal gas flow of the hot blast stove due to working condition changes and coal gas insufficiency of the hot blast stove are effectively solved, and floating adjustment for the coal gas flow of the hot blast stove according to real-time working conditions is realized, thus a coal gas is much efficiently utilized to obtain a higher air supply temperature, and the cost of blast-furnace iron-making is greatly reduced.

The invention discloses a link load balancing method for multi-business flow QoS guarantee in a software defined network and belongs to the technical field of software defined network architecture load balancing computing. According to the method, in an SDN environment, through utilization of the global advantage of SDN centralized control, improved K shortest paths algorithms and QoS guarantee are combined, and the optimum path is selected from k shortest paths by taking load balancing degree of a link as a target function and taking a QoS parameter of business as a constraint condition. According to the method, the high-differentiation-degree processing of a network for business flows is realized and resources are provided for different business according to demands, so the flexible degree of the business for network demands is increased; the network throughput and a flow receiving rate can be effectively improved, and moreover, the path selection time delay and a packet loss rate ofthe link are reduced. The method has obvious advantage in the aspect of network bandwidth resource utilization efficiency. For the business quality of service, basic business demands of the businessrequiring business guarantee can be ensured.

The embodiment of the invention provides a resources management method and resources management device. The resources management method comprises following steps: partitioning multiple resources and generating at least one resources pool; and creating one resources role for each resource pool and determining resources corresponding to all resources riles in order to manage resources via resources roles. By managing resources following partition of resources roles, the way of using resources can be timely known in order to avoid unreasonable allocations of resources in large amount.

The invention discloses a variable frequency and high speed sampling handheld photovoltaic cell tester and a method for achieving the same. The tester is designed by using a field programmable gate array (FPGA) chip EP2C8T144C6 combined with an analog-to-digital converter (ADC) chip AD9245-40, current voltage sampling points (P1 and P2) access to an input end of a cascade circuit to a programmable amplifier chip, an output end of the cascade circuit is accessed to an analog input port of the AD9245-40, and a 14-bit output of the AD9245-40 is accessed to an input/output (I/O) input port of the EP2C8T144C6. According to the variable frequency and high speed sampling handheld photovoltaic cell tester and the method for achieving the same, the highest sampling rate can achieve 32 MHz, a variable frequency sampling method is used, the problem of unreasonable data distribution is solved, the data redundancy is reduced, an obtained a voltage-current (I-V) curve is smooth, and relevant parameters are accurate and stable.

The invention discloses a monitoring and inquiring system for classified garbage cans based on the Internet of Things. The monitoring and inquiring system comprises a stronghold analysis module, a stronghold distribution module, a stronghold monitoring module, a server, a cleaning early warning module, a garbage disposal module and a stronghold adjustment module. The camera is used for shooting avideo that a thrower throws the garbage after the garbage is bagged; recording the light and shadow distance between the thrower and the garbage carried by the thrower in the throwing process; when the light and shadow distance between the thrower and the garbage in the hand in the video exceeds a preset threshold value, the data point analysis module processes the light and shadow distance into one throwing frequency, and the data point analysis module records the proportion of harmful garbage, recyclable garbage, dry garbage and wet garbage which are collected by the data point classification garbage can for a preset frequency; the instruction of adding other types of garbage cans to the stronghold classification garbage cans is sent to a manager through the Internet of Things by the stronghold adjustment module, reasonable planning of the positions of the garbage cans is achieved, the problem of unreasonable distribution of the stronghold classification garbage cans is solved, and the urban garbage transfer efficiency is improved.

The invention provides a method and a device for distributing power, relating to the field of communication and being capable of solving the problem of unreasonable resource distribution caused by power distribution at a fixed proportion. The method for distributing the power comprises the steps of: obtaining required power of each section from a RF (Radio Frequency) unit, wherein the required power of each section is the sum of the required power of each user equipment in the section; distributing corresponding sending power of the preset total sending power for each section according to the proportion of the required power of each section, and distributing corresponding sending power for each section. The provided method and device for distributing the power are used for antenna resource distribution.

The invention discloses a wireless sensor network data fusion method based on an auto-encoder and a network system. The method comprises the following steps: adding a residual energy factor, a distance factor and a node density factor into a cluster head election threshold formula for improvement; training the stacked auto-encoder at the base station to obtain encoder parameters; cluster head election being carried out according to an improved cluster head election threshold formula; the cluster member node transmitting the node data to the cluster head; the cluster head sending the cluster node information table to the base station; the base station sending the encoder parameters to the corresponding cluster heads; the cluster head fusing the node data according to encoder parameters; thecluster head transmitting the fused compressed data to a base station; and reconstructing base station data, judging whether all nodes die or not, if so, ending, and otherwise, executing a cluster head election step. According to the invention, the energy loss caused by sending redundant data is reduced, so that the number of dead nodes and the node death speed are reduced, the network energy consumption is reduced and balanced, the network life cycle is prolonged, and the data transmission efficiency is improved.

The invention provides a resource allocation method and a device, a computer readable medium and electronic equipment. The method comprises the steps of generating a total resource demand amount of atarget project according to a resource demand amount of each resource pool of the target project; performing resource allocation on each resource pool of the target project according to the current resource information to generate a resource allocation list; calculating a total resource allocation amount based on the resource allocation list; and if the total resource allocation amount is not matched with the total resource demand amount, generating a resource adjustment scheme for reallocation. According to the method of the invention, a resource allocation scheme can be quickly formulated, and reasonable allocation of resources is realized.

The invention discloses a low-voltage transformer area electric energy meter operation error abnormal dispatching method based on a visual grid, and relates to the field of electric power operation and maintenance. At present, operation and maintenance personnel are only responsible for areas within which the operation and maintenance personnel are governed and cannot reasonably distribute resources. The method comprises the following steps: constructing a collection object relation based on a GIS grid; Acquiring data information of abnormal fault points of the operation errors of the electricenergy meter; Acquiring data information of operation and maintenance personnel; Calculating an electric energy meter operation error abnormal fault point center point, and performing aggregation grouping on the electric energy meter operation error abnormal fault points according to the center point; Aggregating and grouping the abnormal fault points of the electric energy meter operation errors; Performing emergency degree estimation on abnormal fault points by the abnormal point aggregation grouping data according to an abnormal total emergency degree judgment model; The method has the advantages that the total abnormal emergency degree values of all abnormal fault points in the corresponding areas are obtained, the sequence of abnormity processing of the areas is determined to maintain the circuit operation system, a basis is provided for subsequent accurate dispatching, and resources are utilized more reasonably.

The invention provides a number configuration method and device of charging piles and a distribution system of the charging piles. The method comprises the following steps: obtaining pedestrian volumedata of surrounding business forms of a charging station; inputting the pedestrian volume data into a charging pile configuration model, obtaining the configuration number of charging piles in the charging station, and constructing the charging pile configuration model through a gradient boosting tree algorithm; and determining the migration quantity according to the existing quantity and the configuration quantity of the charging piles in the charging station. A charging pile configuration model is constructed by adopting a gradient boosting tree algorithm, pedestrian volume data of surrounding business states of a charging station is analyzed and calculated through the charging pile configuration model to obtain the optimal configuration number of charging piles in the charging station,and the charging piles are migrated into or out of the charging piles by comparing the existing number of the charging piles in the charging station. Data support is provided for new charging facility site selection planning and layout optimization suggestions, and the problem of unreasonable distribution of charging piles in the prior art is solved.

The invention provides a medical insurance data processing method, system and device based on disease types and a storage medium, and the method comprises the steps: obtaining the settlement information of a case, the settlement information comprising the disease type information corresponding to the case and the total settlement cost S of the case; obtaining a standard cost C and a standard scoreA of the disease type; acquiring a preset reference cost D and a reference score E for medical insurance settlement; and determining a medical insurance settlement score R of the case according to the reference cost D, the reference score E, the standard cost C, the standard score A and the total settlement cost S. The medical insurance cost can be reasonably controlled through big data, settlement is reasonably carried out according to disease types, and the problem that current medical insurance resources are reasonably distributed is solved.

The invention relates to a hydraulic device, and discloses a frame hydraulic oil way. Oil suction filters are both connected with a brake gear pump and a main pump, and a liquid filling valve is connected with the brake gear pump and double-one-way valves. The double-one-way valves are correspondingly connected with a front diaphragm type accumulator, a rear diaphragm type accumulator and a parking brake control valve. The front diaphragm type accumulator and the rear diaphragm type accumulator are both connected with a double-way brake valve. A hydraulic steering gear and a pilot oil source valve are both connected with the main pump. A high speed shift valve, a low speed shift valve, a balance cylinder valve and an oil collecting block are all connected with the pilot oil source valve. Awalking reversing valve, a bulldozing valve and a rotary shuttle valve are all connected with the oil collecting block. The walking reversing valve, the bulldozing valve, the rotary shuttle valve andthe main pump are all connected with a multichannel valve. A central rotary joint is correspondingly connected with the double-way brake valve, the parking brake control valve, the high speed shift valve, the low speed shift valve, the balance cylinder valve, a hydraulic steering valve and the multichannel valve. The problems of unreasonable flow distribution of the oil way of the brake gear pumpand the oil way of the main pump are effectively solved.

The invention provides a human resource visualization processing method. The method comprises the following steps: obtaining a human resource visualization request, the human resource visualization request comprising employee ID information; obtaining human resource information of the employee according to the human resource visualization request; calculating a post capability coefficient of the employee according to the human resource information of the employee; and processing the post capability coefficient of the employee to realize visual expression. According to the invention, work tasks in an enterprise can be well allocated, and the problem of unreasonable human resource allocation is avoided. Correspondingly, the invention further provides a human resource visualization processing system.

The invention discloses an entropy weight calculation method and device. The method includes: obtaining the evaluation index of the evaluated object and the entropy value of each evaluation index; calculating the entropy weight of each evaluation index according to the following formula: ${\omega }_{\mathrm{ej}}=\left\{\begin{array}{cc}(1-\bar{H}){\omega }_{\mathrm{ej}1}+\bar{H}{\omega }_{\mathrm{ej}2}& H_j<1\\ 0& H_j=1\end{array}\right.$ ${\omega }_{\mathrm{ej}1}=\frac{1-H_j}{\underset{j=1,H_j\ne 1}{\overset{m}{\Sigma }}(1-H_j)},{\omega }_{\mathrm{ej}2}=\frac{1/H_j}{\underset{j=1,H_j\ne 1}{\overset{m}{\Sigma }}(1/H_j)}$ Among them, ω _ej Indicates the entropy weight of the evaluation index j, H _j Indicates the entropy value of the evaluation index j, Indicates the mean value of all entropy values ​​that are not 1, m indicates the number of evaluation indicators, j=1,2,...,m. As a result, the entropy value can be reasonably weighted when the entropy value is too large or too small, which solves the existing entropy weight method in the prior art. When the entropy values ​​of all evaluation indicators approach 1, the small difference in entropy value will cause the corresponding entropy The weight changes exponentially, which leads to the problem of unreasonable distribution of entropy weight. In addition, the embodiment of the present invention also provides a multi-objective decision-making method and device based on the above technical solution, which is simple and efficient, and is very suitable for online operation.