37results about How to "Fit the actual situation" patented technology

The invention provides a battery pack SOC evaluation method and system. The method comprises the steps of: obtaining a maximum deviation value of battery module SOC values and a battery module SOC average value after obtaining the battery module SOC average value; and using the battery module SOC average value as a battery pack SOC value for output if the maximum deviation value is within an allowable deviation range. If the maximum deviation value is out of the allowable deviation range, the balance condition of the battery module SOC values is relatively poor, and further judgment whether a maximum battery module SOC value or a minimum battery module SOC value deviates most from the battery module SOC average value is needed. Different battery pack SOC algorithms are respectively provided for the two cases, so that the obtained result fits the practical condition of battery modules much better. According to the scheme of the embodiment, the battery pack SOC value is effectively enabled to be smoother, the real capacity of a battery pack is reflected more really, and the overcharging and over-discharging problems of the battery modules are relieved.

The embodiment of the invention provides a method and a device for acquiring user information and relates to the technical field of a computer. The invention aims to increase the stability of a forecasting model for calculating the user characteristic information by regularly updating a training sample of the forecasting model. According to the technical scheme adopted by the embodiment of the invention, the method comprises the following steps: collecting a multimedia sample set which comprises a multimedia sample for distinguishing the user characteristic information; counting and recording the viewing users of the multimedia sample set and selecting the training user sample which is the user sample with clear user characteristic information; training a user information acquiring model by utilizing the training user sample; and acquiring the characteristic information of the target user by adopting the user information acquiring model. The method provided by the invention is mainly used for acquiring the user characteristic information.

The invention relates to an access resource allocation method, device and system, and equipment. The method comprises the steps: responding to a resource allocation request which comprises the networkattribute of a request terminal, determining the historical access resources of the request terminal, and obtaining the historical network quality information from the request terminal to the historical access resources; determining a seed terminal having the same network attribute as the request terminal based on the network attribute of the request terminal; determining a reference access resource allocated to each seed terminal, and obtaining reference network quality information from each seed terminal to the corresponding reference access resource; and determining a target access resource allocated to the request terminal from the historical access resources and the reference access resources. According to the invention, the optimal access resource suitable for the user network environment can be allocated to the current request user, a high-quality and stable network transmission channel is provided for the network communication service, and the purpose of improving the user experience is achieved.

The invention is applicable to the field of energy scheduling technologies in iron and steel enterprises, and provides a method for determining a steam system optimization scheduling feasible solution of iron and steel enterprises. The method takes initialization of a free variable of schedulable equipment on a topological structure of a steam medium network as the main line, takes all constraint conditions such as physical constraints of steam media and process constraints of multi-unit equipment into account comprehensively, gradually advances according to a steam production and consumption processes, and obtains the feasible solution which naturally meets all of the constraint conditions under the premise that the complex iterative search computation is not required through carrying out processing procedures such as random allocation, constraint inspection, relevance detection and adjustment correction on all variables in the steam system; and if low-quality steam cannot meet steam requirements for production, inlet steam flow rates of some temperature reducing and pressure reducing devices are initialized in priority during the variable allocation process of high-quality steam associated with the low-quality steam in a predictable manner, the possibility that the generated steam system optimization scheduling scheme is an infeasible solution is reduced, and the software and hardware resource consumption of repeated iterative computations is reduced.

The invention discloses a chain type linear lamp. The chain type linear lamp comprises a lamp stand. A first body is arranged on the lamp stand, and a second body is arranged on the first body. The lamp stand comprises a lamp stand body, a mounting convex column is arranged on the lamp stand body, the lamp stand body is provided with a wire, and a plug is arranged at the end of the wire. The firstbody comprises first main lamps, first clamping grooves are formed in the bottoms of the first main lamps, connecting parts are arranged on the side faces of the first main lamps, connecting tables are arranged on the side faces of the connecting parts, and connecting convex columns are arranged on the connecting tables. Any two of the lamp stand, the first body and the second body can freely rotate while the lamp stand, the first body and the second body are mutually connected through the mounting convex column, the first clamping grooves, the connecting convex columns and second clamping grooves, thus, the appearance of the chain type linear lamp can change according to the practical situation of a user, and the chain type linear lamp has the beneficial effects of being reasonable in design, easy to operate and the like, and has high practicality.

The invention relates to a road traffic detection system and method based on manhole covers so as to solve the problem that the manhole covers on a lane are not made full use of. The system comprises the manhole covers and a display terminal. Each manhole cover is equipped with an infrared detector, a pressure detector, a wireless emitter and a controller, wherein the infrared detector, the pressure detector and the wireless emitter are connected to the controller; and the wireless emitter is connected with the display terminal through a wireless network. Traffic saturation degree of the lane is summarized by calculating time used by vehicles passing across the manhole cover every unit time. According to the road traffic detection system and method, the current resources are fully utilized to allow the detected information to be sent to the display terminal, and the road traffic detection system and method can be utilized to various traffic detection or traffic detection software, thereby allowing people to know and monitor the road traffic conditions of each road section conveniently; and the road traffic detection system can provide useful data for urban traffic management, and can also provide data for users, so that the users can select better driving routes based on the data, and traffic jam cases can be prevented.

The invention discloses a geomagnetic data exception judgment method and system based on a vehicle detection probability. The method comprises the following steps that: establishing a geomagnetic database; calculating a vehicle occupation detector time model under a red light signal and a vehicle occupation detector time model under a green light signal on the basis of the vehicle detection probability so as to obtain an occupancy and traffic distribution model; according to the upper boundary and the lower boundary of the occupancy and traffic distribution model, judging whether the geomagnetic data is exceptional or not; and if the geomagnetic data is positioned between the upper boundary and the lower boundary of the occupancy and traffic distribution model, proving that the geomagneticdata is normal; and otherwise, proving that the geomagnetic data is exceptional.

The invention discloses a vehicle model identification method based on a convolutional neural network, and belongs to the technical field of vehicle model identification in intelligent transportation.According to the method, a data set is amplified by adopting a data enhancement strategy, so that the data set is more suitable for the actual situation, the weight and the offset are updated by adopting an Adam optimization algorithm for vehicle model identification on the basis of an Inception-V3 network, and the efficiency of vehicle model identification is improved by referring to a transferlearning thought. Besides, the AMSoftmax loss function is adopted to replace the traditional Softmax loss function on the basis of the loss function, so that the intra-class difference is reduced, theinter-class difference is expanded, and the vehicle model identification precision in different background environments is improved.

The invention provides a mouse control method and application thereof, and the method comprises the steps: building a selection table P of an initial DPI value of a mouse, recognizing the type of a real-time program D0, responding to the mouse in real time, on a host, selecting a DPI value matched with the type of the program from the selection table P, and setting the DPI value as the initial DPI value of the mouse. According to the method, the mouse DPI values can be primarily selected according to the program types, the selection efficiency is high, the calculation amount can be remarkably reduced, and the primarily selected mouse DPI values which are relatively adaptive can be provided for different types of programs. After primary selection, the mouse DPI value is adjusted for the first time and more than one time of subsequent adjustment to complete adjustment of the mouse DPI value, so that the mouse DPI value can be further matched with a corresponding program type, and compared with the method of selecting the DPI value by adopting an optimal iteration algorithm and the like in the prior art, the calculation amount can be remarkably reduced, the workload of a host is reduced, and crash of the host or occupation of a large number of computing resources is avoided, and the adjustment duration is short.

The invention discloses a position time curve drawing method and system and a head pulse test evaluation method and system. The position time curve drawing method comprises the steps that the eye movement position and the head movement speed of a patient in the same time period are obtained; the head movement speed is converted into a head movement position frame by frame; and a position time curve of the eye movement and the head movement is drawn according to the obtained head movement position and the obtained eye movement position. Compared with the conventional method adopting a speed-time curve, the method has the advantages that the result of the video head pulse test can be more intuitively and accurately reflected; errors caused by improper operations such as eyeshade sliding areclear at a glance; and a gain value is calculated through the position time curve of the eye movement and the head movement, so that the obtained gain value is more accurate and is more suitable for the actual situation.

The invention relates to an Ad Hoc network virtual backbone node identification method, which belongs to the technical field of communication and solves the problem that the Ad Hoc network backbone nodes cannot be effectively identified in the prior art. The Ad Hoc network virtual backbone node identification method comprises the following steps: distinguishing and locating the nodes in the Ad Hocnetwork through a radio locating method, so as to obtain the number of the nodes, the location information of the nodes, and the size of the node deployment area; obtaining an important communicationdistance according to the number of the nodes and the size of the node deployment area; performing network physical topology inference according to the location information of the nodes and the important communication distance; and performing identification on the virtual backbone nodes using a unified connected dominating set according to the result of the network physical topology inference. The Ad Hoc network virtual backbone node identification method realizes automatic identification of the virtual backbone nodes in the Ad Hoc network. The result obtained by the Ad Hoc network virtual backbone node identification method is beneficial to the protection of the backbone nodes in the network, and improves the overall performance of the Ad Hoc network by improving the operational capability and information processing capability of the backbone nodes.

The invention discloses a simulation method for assisting in design and inspection of lead-acid battery based on an electrochemical principle. The simulation method comprises the following steps: a geometric model construction step; a material attribute assignment step; a physical field setting step; a boundary setting step: setting boundary conditions; and a calculation step: calculating the state change of the battery in the charging and discharging process by using a Newton iteration method. According to the method, the cost can be reduced, the performance of the lead-acid battery is designed and inspected by using the method, and compared with charging and discharging of a real battery, the time cost and the economic cost are effectively reduced. The method is wide in application range, can be applied to simulation of lead-acid batteries with any known design parameters, only needs to change the simulation parameters according to the design parameters, and does not need repeated modeling. According to the method, the calculation time can be shortened, the calculation speed can be increased, the actual situation of the rich liquid battery is better met, and the model accuracy and universality are high.

The invention belongs to the technical field of measurement, and discloses a straw nitrogen adsorption measurement method and device. The straw nitrogen adsorption measurement method comprises the steps of simulating field flowing water to scour straws through a dynamic adsorption device, and carrying out the dynamic measurement of the adsorption capacity of the straws for ammonium nitrogen. According to the invention, the nitrogen adsorption performance of the straws is used as a starting material; a method of combining static adsorption and dynamic adsorption is adopted; microcosmic surfacemorphology and surface functional group changes of the straws before and after nitrogen adsorption are analyzed, influence factors of the two kinds of straws on ammonium nitrogen adsorption and adsorption thermodynamics and adsorption kinetics research of the straws on nitrogen are discussed, an adsorption thermodynamics model and an appropriate kinetic model are established, and an adsorption mechanism of the adsorption thermodynamics model and the appropriate kinetic model is speculated. The adsorption characteristics of the straws to the ammonium nitrogen are determined, the fertilizer retention capacities of the two straws to the ammonium nitrogen fertilizer in the early stage of water and fertilizer combination are evaluated, and the mechanism of adsorbing the ammonium nitrogen by thetwo straws is preliminarily revealed.

The invention discloses an electric vehicle charging scheduling method of an ANP bilateral benefit fuzzy evaluation model based on time quantification. The method comprises the following steps: counting road real-time working condition information, user vehicle residual electric quantity and charging station operation information of a region; counting the real-time queuing condition of each charging station, and determining the predicted waiting time after the vehicle arrives; calculating traffic flow, node loss and road section loss of surrounding roads; detecting whether a user has a charging demand; and executing different charging schemes in combination with the operation conditions of the surrounding charging stations at the moment. According to the method, real-time road network information, charging station state information and electricity price information are comprehensively considered, on the basis of constructing a charging scheme evaluation system based on bilateral benefit balance, an ANP bilateral benefit fuzzy evaluation model based on time quantization is further constructed, the subjectivity problem existing when a traditional ANP model is used for solving the problem is solved, and the optimal selection of the charging path of the electric vehicle under different working conditions can be realized.

The invention belongs to the field of unmanned ship control, can be used for water surface pursuit, and particularly relates to a single-escape ship surrounded by multiple unmanned ships. The step of pursuing the unmanned ship to surround the escaping ship is divided into two levels. If the escaped ship is outside the surrounding ring formed by the pursued unmanned ship, the unmanned ship is pursued to adopt a surrounding strategy; if the escaped ship is in the encirclement ring formed by chasing the unmanned ship, the strategy of shrinking the encirclement ring is adopted for chasing the unmanned ship. The strategy adopted for chasing the unmanned ship is switched under two conditions, so that the success of hunting is ensured; according to the invention, the escaping ship is endowed with the equivalent intelligence of chasing the unmanned ship, and the chasing of the unmanned ship can still be successful under the condition that the escaping ship adopts different escaping strategies according to different conditions, so that the whole chasing process is more suitable for the actual condition, and the chasing efficiency is improved.

The invention provides a mouse DPI self-adaptive adjustment method and application thereof, and the method comprises the following steps: firstly recognizing a user type, then selecting a DPI value matched with the user type, and setting the DPI value as an initial DPI value of a mouse; selecting the mouse DPI values primarily according to the user categories, wherein the selection efficiency is high, the calculated amount can be remarkably reduced, and the primarily selected mouse DPI values which are relatively adaptive can be provided for different types of user categories; adjusting the mouse DPI value for the first time and more than one time after primary selection, so that the mouse DPI value is adjusted, the mouse DPI value can be further matched with a corresponding user category, and compared with the method of selecting the DPI value by adopting an optimal iteration algorithm and the like in the prior art, the calculation amount can be remarkably reduced, the workload of a host is reduced, crash of the host or occupation of a large number of computing resources is avoided, and the adjustment duration is short.

The invention discloses a preparation and application method of a biological purifying agent for removing composite pollutants in sediments, relates to a preparation and application method of a biological purifying agent, and particularly relates to a method for preparing an immobilized material of the composite pollutants, namely a purifying agent with higher adsorption performance, by taking potassium alginate, plant ash and calcium nitrate as raw materials and immobilizing fungus penicillium chrysogenum. Meanwhile, the invention further provides a method for simultaneously purifying the composite pollution sediment containing organic matter BaP and inorganic arsenic As (v). According to the method, the BaP and As (V) combined pollution sediments are subjected to comprehensive treatment at the same time, and the prepared purifying agent has advantages of no secondary pollution, large specific surface area, multiple functional groups, chemical adsorption and physical adsorption with BaP and As (V), and good arsenic fixation effect. The method is simple to operate and easy to industrialize, can provide a feasible way for large-scale production of a purifying agent, and is a promising treatment technology for waste water/sediment containing BaP and As (V).

The invention discloses a method and device for determining the payment crowd division for business object providers, relates to a method and device for determining the payment customer division for merchants at the same time, provides a method and device for displaying payment crowd division modes and also provides a method and device for displaying the payment customer division for the merchantsas well as electronic equipment and storage equipment. The method for determining the payment crowd division for the service object providers comprises the steps of: determining the service object providers and payment data of the service object providers; determining candidate division modes aiming at payment crowds according to the payment data, wherein in each candidate division mode, the payment crowds are divided into multiple groups of crowds; and determining the candidate division modes for any two adjacent groups of crowds whose payment data meet the payment data constraint conditionsas the final division modes aiming at the payment crowds, so that the actual situations of the service object providers per se can be more fitted and the most reasonable crowd division is achieved.

The invention discloses a hydropower primary frequency modulation stability judgment method, system and device and a medium. The method comprises the steps that obtained hydropower system parameters are input into a pre-constructed open-loop transfer function to obtain a Neyelash curve; obtaining a negative inverse description function curve based on the set width of the gap dead zone and a pre-constructed description function of the gap dead zone; and judging the stability of the nonlinear system based on the relative position of the negative inverse description function curve and the Nessler curve. According to the method, the approximate equivalent frequency characteristics of the gap dead zone are represented by adopting a description function method, the stability of a nonlinear system influenced by the gap dead zone can be analyzed, and the influence of nonlinear factors of the gap dead zone is considered, so that the judgment result is more accurate and better fits the actual condition of a hydroelectric system.