40 results about "Energy indicators" patented technology

Detecting video phenomena, such as fire in an aircraft cargo bay, includes receiving a plurality of video images from a plurality of sources, compensating the images to provide enhanced images, extracting features from the enhanced images, and combining the features from the plurality of sources to detect the video phenomena. Extracting features may include determining an energy indicator for each of a subset of the plurality of frames. Detecting video phenomena may also include comparing energy indicators for each of the subset of the plurality of frames to a reference frame. The reference frame corresponds to a video frame taken when no fire is present, video frame immediately preceding each of the subset of the plurality of frames, or a video frame immediately preceding a frame that is immediately preceding each of the subset of the plurality of frames. Image-based and non-image based techniques are described herein in connection with fire detection and / or verification and other applications.

Detecting video phenomena, such as fire in an aircraft cargo bay, includes receiving a plurality of video images from a plurality of sources, compensating the images to provide enhanced images, extracting features from the enhanced images, and combining the features from the plurality of sources to detect the video phenomena. The plurality of sources may include cameras having a sensitivity of between 400 nm and 1000 nm and / or may include cameras having a sensitivity of between 7 and 14 micrometers. Extracting features may include determining an energy indicator for each of a subset of the plurality of frames. Detecting video phenomena may also include comparing energy indicators for each of the subset of the plurality of frames to a reference frame. The reference frame corresponds to a video frame taken when no fire is present, video frame immediately preceding each of the subset of the plurality of frames, or a video frame immediately preceding a frame that is immediately preceding each of the subset of the plurality of frames.

Detecting video phenomena, such as fire in an aircraft cargo bay, includes receiving a plurality of video images from a plurality of sources, compensating the images to provide enhanced images, extracting features from the enhanced images, and combining the features from the plurality of sources to detect the video phenomena. The plurality of sources may include cameras having a sensitivity of between 400 nm and 1000 nm and / or may include cameras having a sensitivity of between 7 and 14 micrometers. Extracting features may include determining an energy indicator for each of a subset of the plurality of frames. Detecting video phenomena may also include comparing energy indicators for each of the subset of the plurality of frames to a reference frame. The reference frame corresponds to a video frame taken when no fire is present, video frame immediately preceding each of the subset of the plurality of frames, or a video frame immediately preceding a frame that is immediately preceding each of the subset of the plurality of frames.

The United States of America consumes nearly 20 million barrels of oil a day, 6.6 billion per year. This depleting chemical composition, in part, ends up in our air, on our trees, on our clothing, in our lungs, in our blood streams. A large portion of this oil is imported causing a dependency on foreign countries and a significant economic burden to this country. Clean, renewable, domestic energy is a necessity, not a luxury. The Z-333 Energy Management System is an answer to this challenge. There have been many Vertical Axis Wind Turbine patents issued since Mr. Elhanan L. Stoners' patent in 1891. However it appears that none has yet manifested itself into a large scale economic reality. The Z-333 Energy Management System is the latest of a series of improved Vertical Axis Wind Turbine designs which will make that reality come to pass. The Z-333 Energy Management System includes several novel changes to previously patented designs, plus incorporates totally new accessories to make man's continuing conquest of wind an actuality. These innovations include; Aerodynamic “balanced” wings. Tightly stretched fabric-only wings strengthening the overall structure, and at the same time, drastically lower the cost of construction. Flexible photovoltaic cells cover the aforementioned fabric-only-wings. A rotating tower that is flexible and safer. A unique high winds shut off switch. A multi-generator braking system maintains the shaft at a constant RPM. Generators and gears mounted to removable panels. Rubber-like covered shaft and large ring transmission. A low cost switch that controls the angle of attack of the wing with less problems and cost. A tower made of prefabricated interchangeable modules that can be used as a home, water tank, storage room, shop, and / or a shed. A base which is also a large battery and / or a control box shell. A programmable intelligent control box, which notifies the owner by cell phone, of battery fast charge / discharge, vandalism, key energy indicators, integrates a multi-circuit station timer, plus provides an electric-fence-like shock protection from animals and vandals. Low cost, multi-pancake generator that is highly efficient. A shaft centered flywheel. A shaft centered centrifugal pump. A sea base with ballast for low cost erection. A sea base with desalinization equipment built inside. A sea base with integrated hydrogen and oxygen producing equipment.

Detecting a fire, such as a fire in an aircraft cargo bay, includes receiving a plurality of frames of video information, determining an energy indicator for each of a subset of the plurality of frames, and detecting the presence of fire in response to the energy indicator for each of the subset of the plurality of frames corresponding to a predetermined pattern as a function of time. Detecting a fire may also include comparing energy indicators for each of the subset of the plurality of frames to a reference frame. The reference frame may correspond to a video frame taken when no fire is present or a video frame immediately preceding each of the subset of the plurality of frames. At least some of the subset of the plurality of frames may be provided by a camera having a sensitivity of between 400 nm and 1000 nm that may generates 640x480 pixels per frame. At least some of the subset of the plurality of frames may be provided by a CCD camera or a CMOS camera. At least some of the subset of the plurality of frames may be provided by a camera having a sensitivity of between 7 and 14 micrometers, which may be an IR camera.

Detecting a fire, such as a fire in an aircraft cargo bay, includes receiving a plurality of frames of video information, determining an energy indicator for each of a subset of the plurality of frames, and detecting the presence of fire in response to the energy indicator for each of the subset of the plurality of frames corresponding to a predetermined pattern as a function of time. Detecting a fire may also include comparing energy indicators for each of the subset of the plurality of frames to a reference frame. The reference frame may correspond to a video frame taken when no fire is present or a video frame immediately preceding each of the subset of the plurality of frames. At least some of the subset of the plurality of frames may be provided by a camera having a sensitivity of between 400 nm and 1000 nm that may generates 640×480 pixels per frame. At least some of the subset of the plurality of frames may be provided by a CCD camera or a CMOS camera. At least some of the subset of the plurality of frames may be provided by a camera having a sensitivity of between 7 and 14 micrometers, which may be an IR camera.

Detecting fire and non-fire conditions includes receiving a plurality of frames of video information, determining an energy indicator for each of a subset of the plurality of frames, detecting a fire condition in response to the energy indicator for each of the subset of the plurality of frames forming a pattern as a function of time corresponding to a fire condition, and detecting a non-fire condition in response to the energy indicator for each of the subset of the plurality of frames forming a pattern as a function of time corresponding to a non-fire condition. Detecting fire and non-fire conditions may also include comparing energy indicators for each of the subset of the plurality of frames to a reference frame. The reference frame may correspond to a video frame taken when no fire is present, a video frame immediately preceding each of the subset of the plurality of frames, or a video frame immediately preceding a frame that is immediately preceding each of the subset of the plurality of frames.

The invention discloses a novel water-cooling semi-sealed helical-lobe compressor. A machine body (10) is internally provided with a male rotor (1) and a female rotor (2) which are mutually engaged with each other; and two ends of the machine body are connected with an air suction end seat (9) and an air exhaust end seat (11). The novel water-cooling semi-sealed helical-lobe compressor is characterized in that two sides of the male rotor (1) and the female rotor (2) are respectively connected with sliding bearings (3); one side, which is adjacent to an air suction end, of the male rotor (1) is connected with a balance piston (4); one side, which is adjacent to an air exhaust end, of the male rotor (1) and one side, which is adjacent to the air exhaust end, of the female rotor (2) are respectively connected with thrust bearings (7); compressor slide valves (13) are arranged below the male rotor (1) and the female rotor (2) in the machine body (10) and the compressor slide valves (13) are connected with an energy indicator (6); the machine body (10) is connected with a water sleeve (8) through a middle body (12) and the water sleeve (8) is internally provided with a motor (5); the water sleeve (8) is provided with a water inlet (16) and a water outlet (17), the male rotor (1) is connected with the motor (5) through a shaft coupler (15) and the middle body (12) is provided with a junction box (14). The novel water-cooling semi-sealed helical-lobe compressor has the advantages that the service life of the bearings is longer and the reliability is higher; and the current load position of the compressor can be really indicated, and the efficiency is very high.

Present novel and non-trivial system, device, and method for generating an aircraft energy indicator(s) is disclosed. The energy indicator generating system is comprised of one or more sources of aircraft performance factors data, an image generator (IG), and a presentation system. The IG may be configured to receive the aircraft performance factors data representative of at least aircraft altitude and speed; determine descent path data as a function of at least the aircraft performance data; determine target aircraft energy data as a function of at least the descent path data; determine actual energy data as a function of at least the aircraft performance data; and generate presentation data as a function of the target energy data and the actual energy data, where the presentation data is representative of one or more images of an aircraft energy indicator presentable to a viewer.

Methods, systems, and automotive vehicles are provided for providing routing for an automotive vehicle from a first location to a second location. The automotive vehicle is configured to operate using a primary energy source and a secondary energy source. An energy indicator is configured to provide a measure of available energy from the primary energy source onboard the automotive vehicle. A processor is coupled to the energy indicator, and is configured to ascertain characteristics of a plurality of segments connecting the first location and the second location, and to select an optimized route between the first location and the second location using the measure of available energy and the characteristics of the plurality of segments.

A communication device and an echo cancellation method are provided. A digital echo canceller is coupled to a transmitting circuit and a receiving circuit to generate an echo energy indicator according to a digital output signal and a digital input signal. A transceiving front-end circuit receives the analog output signal and generates a hybrid interface signal. A hybrid fine-tune circuit generates a first and a second capacitance calibration signals according to the echo energy indicator. An analog echo cancellation circuit receives the first and second capacitance calibration signals, and includes a first and a second variable capacitors controlled by the first capacitance calibration signal and a third and a fourth variable capacitors controlled by the second capacitance calibration signal. The analog echo cancellation circuit receives the analog output signal and the hybrid interface signal, and generates the analog input signal according to the first and second capacitance calibration signals.

The invention relates to an energy instructor of screw refrigerating compressor, wherein the outer end of a screw rod 1 is fixed with a first micro-motion switch cam 2 fixed with a second micro-motion switch cam 4, the rod of a potentiometer 9 is fixed with the first micro-motion switch cam, the rod is also fixed with a first taper gear 8, one end of a second taper gear axle 14 is fixed with a second taper gear meshed with the first taper gear 8 while another end is fixed with a point 13, an instructing base 15 is fixed with a first micro-motion switch 3 and a second micro-motion switch 5, whose rollers are respectively connected with the circumferences of the first and second micro-motion switch cams 2, 4. The invention moves the axle of the sliding valve to be vertical and forward, therefore, user can watch the instructing disc flexibly.

The invention discloses a comprehensive evaluation method for feasibility of a power generation network. The method comprises the following steps: establishing a database comprising a carbon emissionmechanism, power supply characteristics and generator set parameter constraints; generating to-be-evaluated parameters of a to-be-evaluated power generation network according to the database; whereinthe to-be-evaluated parameters comprise an energy index, an ecological index and an economic index; establishing an evaluation model of the parameters to be evaluated; calculating an evaluation weightof each to-be-evaluated parameter; and calculating a comprehensive evaluation result of the feasibility of the power generation network to be evaluated according to the evaluation model and the evaluation weight. The comprehensive evaluation method for the feasibility of the power generation network disclosed by the invention can comprehensively and accurately evaluate the feasibility of issuingthe carbon emission policy to the power grid. The embodiment of the invention further discloses a comprehensive evaluation device for the feasibility of the power generation network and a storage medium.

The invention relates to an optimal control method for comprehensive indexes of energy management and control, which comprises the following modules: an area module for inputting basic data parameters; a load module used for calculating daily required load according to the area module data; a pipe network module used for inputting and analyzing pipe network data parameters; an energy unit consumption module used for calculating and analyzing on the basis of actual data; a heat supply network module which performs data calculation and analysis based on the load, the pipe network and the energyunit consumption module; an energy index module used for calculating and analyzing on the basis of actual and design data; a heat source module which performs data calculation and analysis based onthe load, the energy unit consumption, the heat supply network and the energy index module; and outputting results, and summarizing and outputting results calculated and analyzed by each module. According to the invention, an energy consumption analysis model for heat source and heat supply network production operation simulation and prediction can be managed, circulation heat balance is optimizedand created, operation calculation of changing working conditions is realized, an optimal operation mode is effectively created, production operation is guided, energy indexes are controlled, energyconservation and emission reduction are realized, and production benefits and economy are optimized.

The invention provides a double-layer energy performance evaluation system based on an entropy weight TOPSIS model, and the system is a platform built based on a computer technology. Information capable of performing energy performance evaluation is effectively extracted from related technology and economic data by using a data processing and calculation tool, so that an evaluation index which plays an objective characterization role in new energy technology development is obtained; the main operation mechanism comprises the steps of determining economic level evaluation index weights and energy subitem performance evaluation weights under different target layers through an entropy evaluation method, then combining economic indexes with energy indexes under different target layers, and determining comprehensive weights of economic development and different subitem energy performances. Calculating first-layer energy performance evaluation indexes of the optimal scheme under different target layers by using a TOPSIS model; and taking the first-layer energy performance evaluation index as an objective index, determining weights of different dimension indexes by using the entropy weight method again, and calculating a second-layer comprehensive evaluation index of the optimal scheme of the target by using the TOPSIS model.

The invention discloses an optimal control method, system and device for comprehensive energy indexes and a storage medium and the method comprises the steps: adjusting the proportion of each energy form in a comprehensive energy system, solving the optimal solution of investment and energy consumption through a gradient descent method, and achieving the optimization control of a comprehensive energy scheme; and deploying the local comprehensive energy system according to the optimal proportion.

The invention relates to an energy instructor of screw refrigerating compressor, wherein the outer end of a screw rod 1 is fixed with a first micro-motion switch cam 2 fixed with a second micro-motion switch cam 4, the rod of a potentiometer 9 is fixed with the first micro-motion switch cam, the rod is also fixed with a first taper gear 8, one end of a second taper gear axle 14 is fixed with a second taper gear meshed with the first taper gear 8 while another end is fixed with a point 13, an instructing base 15 is fixed with a first micro-motion switch 3 and a second micro-motion switch 5, whose rollers are respectively connected with the circumferences of the first and second micro-motion switch cams 2, 4. The invention moves the axle of the sliding valve to be vertical and forward, therefore, user can watch the instructing disc flexibly.

The invention discloses a method for evaluating the cleanliness of an intelligent distribution network. Firstly, an energy-saving index is calculated to evaluate the fossil energy consumption reduced by adopting energy-saving measures in the distribution network. Calculate the gas emission reduction index according to the calculated energy-saving index; then calculate the electromagnetic pollution index and the noise pollution index. The invention makes the cleanliness evaluation of the intelligent distribution network more scientific and comprehensive by adding evaluation indexes of electromagnetic pollution and noise pollution in the cleanliness evaluation of the intelligent distribution network. This evaluation method correctly evaluates the cleanliness of the smart distribution network and helps to take measures to improve the cleanliness of the smart distribution network.

A system and method for compressive sensing using edge nodes of a distributed computing network. The method includes collecting a raw data signal continuously by a sensor of the edge node. A signal energy indicator is dynamically updated that quantifies an energy distortion in the raw data signal. One or more compression characteristics are determined as a function of the signal energy indicator as the signal energy indicator is updated. The raw data signal is subsampled in accordance with current values of the one or more compression characteristics to create a compressed data signal. An output is transmitted that includes the compressed data signal to a centralized node.

The invention discloses a series fault arc detection method and system based on limited sampling data, comprising: continuously sampling the load current at a set sampling frequency to obtain N sampling data as a frame of sampling data; based on the sampling data, calculate a number of virtual energy indicators; count the maximum value, minimum value, mean value and variance of the virtual energy indicators, and calculate the periodic fluctuation coefficient; compare the periodic fluctuation coefficient with the adaptive threshold to determine whether the line where the load is located arc fault. Beneficial effects of the invention: on the basis of the statistical information of the virtual energy index, a periodic fluctuation index and a dynamic threshold, as well as a fault discrimination method and a dynamic threshold updating algorithm are established. The periodic fluctuation index has a good indication for the series arc fault. When the fault occurs, the index jumps to more than 3 to 8 times of the normal state, which can accurately distinguish the fault from the normal working condition.

The invention discloses a comprehensive evaluation method suitable for a multi-energy complementary energy supply system, and the method comprises the following steps: carrying out classification and grading of evaluation indexes based on a determined multi-energy scheme or an operating multi-energy system under the condition that various loads are determined, respectively calculating sub-item data in the three-level indexes of the multi-energy function system and the conventional sub-supply energy system to obtain an economic index, an energy index and an environmental protection index; calculating a system evaluation weight coefficient, and constructing a comprehensive evaluation system function of the multi-energy complementary energy supply system; and with the multi-energy energy supply system comprehensive evaluation value or the multi-scheme maximum value as a target, calculating to obtain an optimal selection scheme. The method aims to solve the technical problem of comprehensive evaluation of the multi-energy complementary energy supply system, and is suitable for evaluation in the initial design period and the operation period.

A system and method for compressive sensing using edge nodes of a distributed computing network. The method includes collecting a raw data signal continuously by a sensor of the edge node. A signal energy indicator is dynamically updated that quantifies an energy distortion in the raw data signal. One or more compression characteristics are determined as a function of the signal energy indicator as the signal energy indicator is updated. The raw data signal is subsampled in accordance with current values of the one or more compression characteristics to create a compressed data signal. An output is transmitted that includes the compressed data signal to a centralized node.

The invention discloses a mineral processing production index visualization analysis system and method based on the Internet of Things and industrial cloud, including a production index data acquisition unit, a production index configuration unit, a production index management unit, a production index visualization unit, a production index analysis unit, and an abnormal alarm Unit, including: production index data acquisition unit: used to obtain the production index data of the whole process of mineral processing production, including quality index, measurement index, energy index, process index, cost index, equipment operation statistics index, and store them in the local database. Realize the configuration management, visual analysis and exception handling of mineral processing production indicators, and improve the effectiveness of visual analysis of important production indicators of mineral processing.

The invention relates to energy index calculation technology. The present invention aims to solve the problem that the current processing method using fixed output coefficients cannot truly reflect the impact of the difference in energy conversion efficiency of water turbines at different times on the output and power generation of the power station, the accuracy of energy indicators is lacking, and the energy indicators of current multi-hole multi-machine power stations In the calculation method, manual experience is generally used to allocate power generation reference flow between tunnels and machines. Because of the unclear calculation goals and principles and relatively subjective factors, it is difficult to ensure that the energy indicators between the schemes are consistent when designing the tunnel machine scheme. Based on the comparison basis, the reliability of the scheme is lacking. A calculation method for the energy index of multi-cavity and multi-machine hydraulic engineering is proposed. For other energy indicators, when the power generation flow of multi-hole and multi-machine hydropower projects is optimally allocated, the annual power generation of hydropower stations is the largest, which is suitable for multi-hole and multi-machine hydropower and water conservancy projects.

The invention discloses an efficient combined heat and power generation system design method based on clustering analysis, and the method comprises the following steps: S1, collecting the electric heating load demand data of a user through big data, and cleaning the data; s2, performing clustering analysis on the load data by applying a K-means clustering mode; s3, confirming the power generation technology and scale of the combined heat and power generation system according to a clustering result; s4, making an operation strategy of the novel combined heat and power generation system; and S5, calculating an energy index and an economic index, and selecting an optimal operation strategy. According to the invention, the big data analysis method is applied to analyze the user thermoelectric load demand, the cogeneration system production technology and storage equipment are selected according to the user load characteristics, the optimal operation strategy is selected according to the economic index and the energy index, the energy utilization efficiency is improved, and the cost is reduced.

The invention provides a hybrid electric vehicle energy flow demonstration controller system comprising an energy indicator light relay module, a single-chip microcomputer circuit, a state lamp relaymodule, a voltage reduction module and a buzzer module. By capturing eight-gear mode switch signals, it is ensured that each mode indicator light is lightened, and the working state and the energy flow direction of the hybrid electric vehicle in each mode are clearly displayed, various modes are ensured to work independently and do not interfere with each other; misoperation is avoided; and the hybrid electric vehicle energy flow demonstration controller system is safe and reliable.