40results about How to "Accurate consumption" patented technology

Disclosed is a route search device provided with: a predicted fuel consumption computation means which computes a predicted fuel consumption amount for each segment in a plurality of routes from a starting point to a destination; and an optimal route selection means which selects the route that minimizes the total predicted fuel consumption from the starting point to the destination. The predicted fuel consumption computation means contains: a means which computes a cruise fuel consumption amount by multiplying the length of the segment by a fuel consumption rate determined by an average vehicle speed; a means which computes a road-type-dependent variable-speed fuel consumption amount by multiplying the length of the segment by a fuel consumption rate determined by an average vehicle speed and the road type of the segment; and a means which computes a gradient fuel consumption amount by multiplying the length of the segment by a fuel consumption rate determined by the average gradient of the road. The predicted fuel consumption is obtained by adding the cruise fuel consumption amount, the gradient fuel consumption amount, and the variable-speed fuel consumption amount.

The invention relates to a water heater with an anode rod consumption alarm indication function, which comprises an anode rod arranged in an inner container, and a switch controller comprising a signal preprocessing circuit, a signal conversion circuit, a single chip microcontroller, an alarm indicator, a water quality sensor and a temperature sensor, wherein the switch controller is arranged in the water heater. Through the detection of water quality, the quality of water used by the water heater is judged, the consumption time of the anode rod in different water quality is analyzed according to the judgment result, and users are timely reminded. Accordingly, the users can know and master the current use situation of the water heater, the consumption degree of the anode rod and whether the anode rod needs to be replaced or not in real time. The service life of the water heater is greatly prolonged, and the use safety for the users is improved. The users can timely know the use situation of the anode rod, so that the hidden danger of water safety brought by the complete consumption of the anode rod is avoided.

The invention belongs to the field of orbit control, and particularly relates to a method for converting a pulse orbit transfer sequence into a finite thrust orbit transfer sequence. The method comprises the following steps of: 1, determining the initial position, initial speed and initial mass of a spacecraft; 2, determining the position, the speed and the mass of the spacecraft at the pulse point; 3, according to the overall mass of the spacecraft, the specific impulse of the engine and the speed increment, determining the fuel consumption needed by orbit transfer this time; 4, determining the time required by the orbit transfer according to the fuel consumption required by the orbit transfer and the engine thrust; 5, converting the pulse quantity into finite thrust in a time period by adopting a discrete and integral mode; and 6, correcting the direction by taking the X-axis positive direction of the tnw coordinate system as a thrust direction. The accurate fuel consumption can be obtained in spacecraft orbit transfer pre-planning, the guidance precision is improved, the orbit transfer preparation cost is reduced, and the final guidance precision is improved.

A saved power measuring circuit comprises a control unit, a clock signal generating circuit connected to the control unit for generating a clock signal to the control unit, a power consumption measuring circuit connected to a power supply loop for measuring the power consumption of an electric appliance load operated in operation mode, a power consumption memory unit connected to the control unit for memorizing the power consumption, a break loop status signal generating circuit for generating a break loop status signal to the control unit. When the control unit receives the break loop status signal generated from the break loop status signal generating circuit, it calculates saved power of the electric appliance load in power saving mode according to the power consumption and the lasting time after receiving the break loop status signal.

The invention provides an industrial raw material consumption prediction method based on multi-task time sequence learning, and the method comprises the steps: firstly obtaining a historical consumption time sequence set of all raw materials as the input of a model, carrying out the clustering of an original single time sequence set, and further dividing the raw materials into different groups with positive correlation or negative correlation, and serving as a priori constraint of the prediction model. Then, based on a multi-task learning thought, an auxiliary task for predicting long-term and recent future development trends is constructed, space and time dimension features of a time sequence are fully extracted for all tasks based on a prediction model of a neural network, and data features learned among different tasks are shared in the process; the main task is helped to fuse more time sequence information, and the consumption of various raw materials in a period of time in the future is predicted by combining an autoregression model based on a combined model thought.

The invention discloses a big data center energy consumption analysis method, which is executed in computing equipment and comprises the following steps of: obtaining an operation condition and a power supply type of a big data center; determining the energy consumption of the big data center according to the operation condition; determining the power supply use efficiency of the big data center according to the energy consumption; and determining the green power supply use efficiency of the big data center according to the carbon emission of the power supply type and the power supply use efficiency so as to evaluate the influence of the big data center on the environment. The invention also discloses a corresponding computing device.

The invention discloses an inventory determination method for aging sensitive materials. The method comprises the following steps: collecting a first mapping relationship between historical consumption of a target aging sensitive material and time, a second mapping relationship between the number of historical consumption objects and time, and an initial inventory of the target aging sensitive material; according to the first mapping relation, the predicted consumption of the target aging sensitive material in a preset time period is determined; according to the predicted consumption, the second mapping relation and the initial inventory, determining the predicted inventory of the target aging sensitive material at each time point in the preset time period; according to the method, the more accurate real-time stock of the target aging sensitive material at the current moment and the future change trend of the predicted stock along with time can be obtained; therefore, the resource allocation efficiency of the aging sensitive material is improved, and the material allocation cost is reduced.

The invention discloses a product pushing system and method based on the Internet, and the method comprises the steps: obtaining user information and a corresponding historical record through a modelbuilding module, and building a pushing model based on a random forest algorithm; then acquiring online information of a user based on the login judgment module, and judging whether to push a background program or not; if the user is online, matching an online recommendation product by utilizing the online recommendation module according to the current browsing information and a set matching degree, updating a browsing detail list, and meanwhile, obtaining corresponding sharing information and user behavior parameters; if the user is not online, using the linkage module for updating the push model according to the acquired browsing information of the online recommendation module, then enabling the background recommendation module to calculate a background recommendation product according to the updated push model to perform background cache push, and obtaining browsing parameters, and therefore, products can be accurately recommended to consumers.

The present invention discloses a stock management and real-time display system. The system comprises a warehouse module configured to store products, a product distribution center module, a data cloud module and a mobile device APP module. The data cloud module is configured to store users' consumption behaviors and consumption data information at the warehouse module, the warehouse module information stored by the data cloud module is displayed on the mobile device APP module, the warehouse module has storage amounts of different types of products at different time periods at different place positions, and the product storage amounts of the warehouse module are displayed through the mobile device APP device and are subjected to stock preparation prediction through the product distribution center module. The stock management and real-time display system can perform tracking of product information of the warehouse module according to the data displayed on the mobile device APP module in real time, and can perform predicted stock preparation for the warehouse module to avoid phenomenon such as stockout, etc.

The invention discloses an intelligent personnel positioning system and positioning method of a sanatorium. The system comprises a positioner, charging management systems, a main server, a cloud platform and a code scanner, the positioner comprises a housing and a control unit arranged in the housing, the control unit comprises a storage battery, a SIM card, a GPS positioner, a door access card, an all-purpose card, a serial number memory and a mobile phone CPU, the mobile phone CPU is separately connected with the SIM card, the GPS positioner, an all-purpose card payment management system, the serial number memory, the all-purpose card and the door access card in a signal manner, the all-purpose card payment management system is separately connected with a plurality of charging managementsystems in the sanatorium in a communication manner, the storage battery is separately and electrically connected with the mobile phone CPU and the all-purpose card payment management system, and thehousing is provided with a first dialing button, a second dialing button, a convex identification position, a call receiving button, a call hanging-up button and a quick response code including a serial number of the positioner. According to the structure of the system, the positioning is accurate, and the function of integration with door access control is realized.

The invention belongs to the field of energy consumption prediction, and provides an energy consumption prediction method and system based on three-parameter exponential smoothing. The method comprises the following steps: acquiring energy consumption data of equipment in a historical time period; fitting the obtained energy consumption data by using a seasonal exponential smoothing addition model and a seasonal summation autoregressive moving average model respectively; performing weighted summation on a fitting result of the two models and a set weighted value to obtain an energy consumption predicted value of the equipment, wherein the sum of weighted values of fitting results of the two models is equal to 1.