63results about How to "Easy to optimize configuration" patented technology

The invention provides a big data-based three-phase unbalance analysis and load adjustment method of a distribution transformer. The method comprises the steps of (100) classifying distribution transformer districts; (200) extracting data from a power system; (300) carrying out correlation analysis on a power fluctuation; (400) positioning the distribution transformer districts with strong correlation between a three-phase unbalance fluctuation and a low-voltage distribution transformer district line loss fluctuation and looking up a low-voltage user with strong power fluctuation correlation; (500) verifying and judging the reason of a three-phase unbalance and carrying out three-phase load adjustment; and (600) evaluating a loss reduction effect, turning to the step (200) if the loss reduction effect is invalid, and completing the steps if the loss reduction effect is valid. The big data-based three-phase unbalance analysis and load adjustment method of the distribution transformer can meet the requirements of enterprise power production, operating management and power service in the aspect of improving the quality, the benefits and the efficiency, and optimal configuration and efficient service of power resources are promoted.

The invention discloses a multi-terminal DC (Direct Current) power transmission system for combined synchronization of a wind power plant and a conventional power plant. The multi-terminal DC power transmission system comprises two rectification stations and an inversion station, wherein the wind power plant is connected to an AC (Alternating Current) bus side of one rectification station, the conventional power plant is connected to an AC bus side of the other rectification station, the inversion station is connected to a load center, DC buses of the two rectification stations, corresponding to the inversion station, are connected together by a DC power transmission line, thus the multi-terminal DC power transmission system is formed. According to the multi-terminal DC power transmission system disclosed by the invention, a matched conventional power plant does not need to be built near the wind power plant, and the multi-terminal DC power transmission system has no any requirements on a geographic position of the conventional power plant combined with the wind power plant; compared with a manner of AC power grid synchronization, the multi-terminal DC power transmission system does not need a local AC power grid near the wind power plant to level the power fluctuation of wind power; and compared with a scheme of synchronization of wind power plant through voltage source type DC power transmission, the multi-terminal DC power transmission system can enable the electricity transmission power of a single-circuit bipolar line to be 6,400MW or more by adopting the traditional mature ultra-high-voltage current conversion technology.

The invention discloses an impeller-directly-driven wind-driven generator. The wind-driven generator comprises a fan impeller, hydraulic cylinders, a cam turntable, a high-pressure oil circuit, a low-pressure oil circuit, a main frame, a tower tube, an oil tank, energy accumulators, a high-speed hydraulic motor and a generator, wherein pistons of the hydraulic cylinders are in contact with the cam turntable, the high-pressure oil circuit is connected with the hydraulic cylinders and the energy accumulators, the low-pressure oil circuit is connected with the hydraulic cylinders and the oil tank, the energy accumulators are connected with the high-speed hydraulic motor, the oil tank is connected with the high-speed hydraulic motor, and the high-speed hydraulic motor is connected with the generator. The impeller-directly-driven wind-driven generator has the advantages that the difficulties in the prior art are overcome by using a hydraulic transmission technology; firstly, unstable wind energy is converted into a stable revolving speed, which is required by a power-frequency generator, through hydraulic-volume speed regulating, so that constant-frequency control for the generator is effectively realized; secondly, hydraulic transmission is flexible power transmission, thus, a power generation system can be flexible in layout and convenient in mounting, the optimal allocation of resources and the extension of product function adjustment are facilitated, multi-aspect control can be further carried out, and then, stable system pressure and continuous power generation are realized.

The invention discloses an intelligent integrated comprehensive low-pressure distribution box, comprising a casing, a plurality of power capacitors and a capacitor indicator. The power capacitors and the capacitor indicator are mounted in the casing, the intelligent integrated comprehensive low-pressure distribution box also comprises a monitoring and metering control terminal for monitoring the state parameter and sending the feeding or removing indication towards the power capacitor, the monitoring and metering control terminal, the power capacitors and the capacitor indicator are all clamped in the casing, the monitoring and metering control terminal is provided with an external data communication interface, a network interface and internal communication interface, the power capacitor is provided with a communication sub-interface, the internal communication interface is connected with the communication sub-interface of each power capacitor connected with the capacitor indicator. The invention has simple structure, lower production, good reliability and convenient maintenance.

The present invention discloses a server, a client and an access policy management method. When the client accesses a router server of the server, an access policy is returned to the client; and when continuing to visit the server, the client can perform an intended server access on the server according to the access policy. In the prior art, the server is accessed only according to an access policy pre-embedded in a local by a developer. The access policy management method provided in the present invention allows the client to acquire a new access policy, further, the server can enable the client to perform an intended access by using the access policy, and the access condition of the client is managed, thereby being beneficial to resource optimization. In another aspect, in the prior art, when a manner that the server accesses the client is changed, the client needs to be upgraded, but the client does not need to upgrade according to the access policy management method provided by the present invention, so that the user experience is improved.

The invention discloses a peak valley power utilization oriented intelligent household electrical appliance control method and gateway. The method comprises the steps that the gateway receives an execution instruction or a reservation operation of an intelligent household electrical appliance; the gateway judges whether the start time Tst of the reservation operation is required to be modified or not according to at least one of the finish time Tfn and the start time Tst of the reservation operation, information of a cycle valley power utilization time period and the execution time length Top of the reservation operation, if so, the start time Tst of the reservation operation is modified into a difference value of the current start time Tst and a preset fixed time length Tth, or the start time Tst of the reservation operation is reduced to enable the finish time Tfn of the reservation operation to be the finish time of the cycle valley power utilization time period of the day to which the finish time Tfn belongs, and the execution instruction for the reservation operation is sent to the intelligent household electrical appliance at the arrival of the modified start time Tst of the reservation operation of the intelligent household electrical appliance. The method disclosed by the invention can enable the target intelligent household electrical appliance to operate at the valley power utilization time period as far as possible, thereby reducing the power utilization cost of a user, and promoting optimized allocation of electric power resources.

The invention provides an active recognition carrier. The active recognition carrier comprises a first storage module and a sending module which are in communication connection with each other, the first storage module is used for storing recognition information; and the sending module is used for converting the recognition information into a signal in a preset form and sending the signal. A signal in a preset form can be actively sent for recognition without depending on the Internet; signals are easy to process and transmit; and resource optimization configuration and cost control are facilitated. And further popularization and deep application of the active recognition carrier in the industrial internet are facilitated. The invention further provides an interaction system. The interaction system comprises a plurality of active recognition carriers and has corresponding advantages. And recognition can be carried out only by presetting an analysis rule in the analysis device. The active recognition mutual recognition method has the corresponding advantages due to the adoption of the interaction system, the steps are simple, the recognition is efficient, and the data interaction safety is good.

The invention discloses a foundation pit upheaval-resistant stability analysis method based on arc sliding. The method comprises the following steps of creating a theoretical model for foundation pitupheaval-resistant stability calculation based on arc sliding; respectively solving the divided first area, second area and third area according to the sliding surface form and the stress condition ofthe soil body inside and outside the pit to obtain an optimization model and analytical solutions of anti-sliding moment and sliding moment at different areas; adopting a universal programming language VB to perform programmed calculation on an optimization model, and inputting foundation pit and soil layer related information; separating the soil layers according to the underground water level and permeability, and assigning the weights of the corresponding soil layers; re-adjusting the soil layer according to the last supporting position, the excavation depth position of the foundation pitand the bottom position of the enclosure structure, and assigning corresponding information; respectively calculating three anti-sliding moments, three sliding moments and three construction load sliding moments; and calculating the anti-upheaval safety coefficient of the foundation pit according to a formula.

The invention relates to a CCHP system scheduling evaluation method. The method comprises the following steps: S1, obtaining wind power output power data and solar photovoltaic output power data in aCCHP system from a historical data set and a real-time data set, and constructing a CCHP system input matrix; acquiring cooling heating and power load data of the CCHP system, and constructing an output data matrix of the CCHP system; S2, processing the random variable wind speed, wind direction, illumination intensity and load; S3, constructing an energy scheduling model of the CCHP system; S4, calculating each target weight of the CCHP system; S5, load dynamic association rule mining. According to the invention, the method provided by the invention has better convergence capability, global optimization capability and practicability. The method has important significance for improving the energy utilization rate, increasing the production of renewable energy sources and reducing the emission of pollutants. The selection of an optimal scheduling scheme is beneficial to the optimal allocation of resources and the reduction of the total cost of the system.

The invention provides two model compression methods based on layer number sampling from two aspects, each model compression method is based on a plurality of neural networks with completely consistent cascaded sub-network structures, and one model compression method based on layer number sampling comprises the following steps: generating random positive integers uniformly distributed in a preset interval, wherein the extreme value of the interval is not greater than the total number of the sub-networks; selecting the random positive integer number of sub-networks to carry out iteration once, wherein the second model compression method based on layer number sampling comprises the following steps: evaluating the performance of a neural network model, and determining an ideal value of n, and the first n sub-networks are reserved in the neural network. The computing speed can be increased during training and reasoning, computing resources are saved, and the performance of the model is kept. The deep neural network model provided by the invention has corresponding advantages due to the adoption of the model compression method provided by the invention, and is beneficial to implementation in a wider application scene.

The embodiment of the invention provides a short message center reminding method and a short message gateway. The short message gateway determines a fact that a receiving terminal is accessible basedon the registration on an application server by the receiving terminal, and acquires a failed delivery record stored for a to-be-delivered short message of the receiving terminal, and then triggers the short message center to remind according to the failed delivery record. The feature of the registration on the application server by the receiving terminal can be directly understood and acquired byusing the short message gateway, and the accessible state of the receiving terminal can be directly understood under the condition of not subscribing the receiving terminal accessibility from the HLR/HSS; when the receiving terminal is accessible, the failed delivery record is acquired and the short message center is triggered to remind. Since the HLR/HSS is unnecessary to provide the terminal accessibility, the function requirement on the HLR/HSS is reduced, and the application scene is more extensive in comparison with the existing scheme; and meanwhile, the terminal accessibility can be acquired without needing the interaction and cooperation of the HLR/HSS and the MME, the communication resource and the processing resource of the system are saved, and the resource can be optimally configured.

The invention belongs to the technical field of literature analysis, and particularly relates to a multi-dimensional index integration technical evaluation method based on an XGBoost model. According to the method, the technical evaluation science and technology data is acquired and processed, the technical score of the science and technology data is acquired to establish an evaluation index system of the technology, and then the comprehensive score of the technical evaluation index is calculated based on the improved XGBoost model, so that the comprehensive evaluation of the technology is completed. According to the method, the technology can be evaluated objectively, truly, comprehensively and timely, the research value and development level of the technology can be known visually, comparison among various technologies is facilitated, and powerful support is provided for science and technology management decisions.