118 results about "Energy index" patented technology

The invention relates to a planning management control system for construction energy, which comprises a system setting unit, an energy consumption acquisition unit, an energy auditing management unit, a device energy consumption management unit, an area energy consumption management unit, an energy forecast management unit, an energy consumption alarm and demand control unit, an energy evaluation unit, and an energy planning implement unit, wherein the system setting unit is used for setting the information related to an energy consumption object and a manger; the energy consumption acquisition unit is used for acquiring the energy consumption object; the energy auditing management unit is used for auditing the energy consumption object; the device energy consumption management unit is used for monitoring and managing the device in real time; the area energy consumption management unit is used for monitoring and managing area in real time; the energy forecast management unit is used for performing data statistics and analysis on energy consumption; the energy consumption alarm and demand control unit is used for controlling the demand according to load set, load and contract volume information of the unit; the energy evaluation unit is used for optimizing the energy scheduling and balancing the energy consumption; and the energy planning implement unit is used for making a reasonable energy use plan according to the annual energy index and current energy use condition. The planning management control system for construction energy has various energy-saving management manners and can implement the meticulous energy-saving control according to the annual construction energy-saving target.

The invention discloses an on-line prediction method for residual life of rolling bearing, As that roll bearing move from a healthy state to a damaged state, The original signal samples and corresponding degeneration energy indexes are extracted from the running process of the bearing, and the original signal samples are used as the input of the five-layer convolution neural network model, and thedegeneration energy indexes are used as the output of the convolution neural network model, and the degeneration energy state model is obtained by training. Real-time acquisition of the original running signals of the rolling bearings to be tested; The original running signal of the rolling bearing to be tested is input into the degradation energy state model, and the degradation energy index isestimated. Then the estimated energy degradation index is used to predict the residual life of the rolling bearings to be tested. The prediction process of the invention only needs to collect the original operation signal of the bearing, and does not need to extract and screen the features, thus overcoming the technical problems that the prior art adopts the methods of feature extraction, featurescreening and regression prediction, which have the characteristics extraction difficulty and the precision is limited.

The invention discloses an adaptive optimal envelope demodulation method, which is characterized by comprising the following steps: bearing fault vibration acceleration signals are acquired; improved harmonic wavelet packet transform is carried out on the signals; an improved harmonic wavelet packet kurtosis graph fused with energy indexes is drawn; the optimal frequency band is extracted according to the maximal spectral kurtosis in the kurtosis graph; modular operation is carried out on wavelet coefficients of the optimal frequency band to obtain an envelope, and FFT transform is carried out on the envelope to obtain an envelope spectrum; refinement is carried out on the envelope spectrum, and a fault type of the bearing is determined in the refined envelope spectrum. Two aspects of the prior art are improved: on one hand, conventional harmonic wavelet packet transform is firstly improved, the frequency band can be divided more precisely, the improved harmonic wavelet packet transform is combined with the kurtosis graph, the improved harmonic wavelet packet kurtosis graph is formed, the ability of detecting weak transient fault impact by the kurtosis graph is enhanced, and the application effects are improved; and on the other hand, energy information is fused in the kurtosis graph, and robustness of the kurtosis graph is improved.

The present invention relates to a real-time monitoring system for electrical equipment, which includes electrical equipment, an electrical energy monitoring instrument connected to the electrical equipment and monitoring the electrical equipment in real time to obtain electric energy index parameter data, and communicating with the electrical energy monitoring instrument through a local area network to receive electrical energy A communicator for index parameter data and a central data processor for electric energy monitoring terminal that communicates with the communicator through the network to receive the electric energy index parameter data. The central data processor of the electric energy monitoring terminal includes a database, an expert database and a decision database. After the electrical equipment diagnosis report is sent to the decision-making library. The electrical equipment diagnosis report includes at least one of the functions of power audit, electric energy consumption level evaluation, power consumption level evaluation, power quality analysis, energy-saving space assessment, electric equipment power-saving plan and distribution network transformation plan, and optimization effect monitoring. The real-time monitoring system of the electric equipment of the present invention discovers new situations and new problems in the electric energy consumption of the electric equipment in time, and provides the basis for energy-saving and emission-reduction measures so as to achieve the effect of saving energy.

The invention discloses a quick prediction method of protrusion danger in the crossdrift and pitshaft coal uncovering, implements quick gas pressure measurement of a coal bed in front of a working face of a crossdrift or a pitshaft by rock strata grouting and rock strata densification, and collects a complete coal core of the coal bed with a coring device, thus determining the position of a soft bed and obtaining a coal sample in the soft bed, and after the collecting of the complete coal core is finished, a thermometer is sent into the coal bed through a coring pore and taken out after occluded for half an hour, the temperature of the coal bed is read, an initially released gas dilatation energy index Wp of the collected coal sample in the soft bed of the coal core is measured, and whether the protrusion is generated when uncovering the coal bed of the crossdrift or the pitshaft and protrusion intensity are determined by comparing the measured initially released gas dilatation energy index Wp with existing critical values of weak protrusion and strong protrusion. The quick prediction method of the protrusion danger in the crossdrift and pitshaft coal uncovering has short prediction time, can finish in about 3 to 5 days, and has accurate prediction, convenient operation, good effects and wide practicability.

This invention provides one digital television receiver energy saving system, which comprises main control chip and intelligent power management module, wherein, the said chip analysis and test digital television receiver comprises each function modules and it's outside prompt work status and energy index and sends order signals to power management module to control each function module and outside power matching. This invention also provides one digital television receiver energy saving method.

The invention provides an integral and local information fusing method of structure health diagnosis based on monitoring information of integral acceleration and local stress sensors, which comprises the steps of: arranging acceleration and stress sensors on a target structure and carrying out vibration test to obtain acceleration and stress stroke response, and recognizing modal parameters of the structure; establishing a finite element model of the structure; and preliminarily determining the damage range by adopting the modal stress energy indexes through an actually measured modal vibration shape. The invention integrates information of the integral acceleration sensor and the local stress sensor for structural health diagnosis, fully utilizes multi-sensor information in the structural health monitoring, a Bayesian probability theory is adopted, considers the uncertainty of actually measured information, and accords with the engineering actual characteristic. The invention can obtain accurate, reliable and stable damage diagnosis results and has stronger noise immunity and robustness.

Method and system for analyzing, separately or in combination, kinetic energy and potential energy and / or their time derivatives, measured or estimated or computed, for an aircraft in approach phase or in takeoff phase, to determine if the aircraft is or will be put in an anomalous configuration in order to join a stable approach path or takeoff path. A reference value of kinetic energy and / or potential energy (or time derivatives thereof) is provided, and a comparison index for the estimated energy and reference energy is computed and compared with a normal range of index values for a corresponding aircraft maneuver. If the computed energy index lies outside the normal index range, this phase of the aircraft is identified as anomalous, non-normal or potentially unstable.

The invention discloses a test and evaluation method for deep hard roof coal seam bump proneness. The method comprises the steps of: preparing standard pure coal test pieces, standard pure rock test pieces and standard coal-rock combination test pieces; calculating the residual energy release rate of the standard coal-rock combination test pieces; and evaluating the proneness of the standard coal-rock combination test pieces. The standard coal-rock combination test pieces of corresponding proportions are made according to the actual thickness of on-site hard roofs and coal bodies, and by means of a quantization process, the influence of the coal rock combination effect and the combination size effect to bump proneness is fully reflected, and the accuracy of the evaluation result is significantly enhanced. Also, the method provided by the invention takes the coal-rock combination residual energy release rate to evaluate the coal seam bump proneness, gives full consideration to the time effect of the residual energy and destruction process during coal-rock failure, overcomes the one-sidedness existing in simple use of energy index and failure time index, and solves the problem of erroneous judgment and misjudgment to bump proneness from the source.

The invention relates to a wound rotor self-starting permasyn motor, which belongs to the technical field of permanent magnet motors. The wound rotor self-starting permasyn motor comprises a fan housing, a fan, a front bearing end cover, a front bearing, a front motor end cover, a rear bearing end cover, a stator winding, a shell, a stator core, a permanent magnet, a rotor core, a rotating shaft, a rotor winding, an electric brush, a slip ring, a rear motor end cover, a rear bearing and a magnetic shielding bridge. The wound rotor self-starting permasyn motor has the following advantages: a wound rotor structure can improve the starting performance of the permasyn motor, namely the starting torque, reduce the starting current, improve the force-energy index, and simultaneously reduce the motor slip ratio by removing the rotor resistance gradually, improve the capability of pulling into synchronism to adapt to the operating condition requirement on low speed and large torque of overload starting, prevent impact to an electric network due to overlarge starting current or the incapability of starting the motor due to undersize starting torque, and ensure the smooth pulling into synchronism of the motor at the same time.

The invention relates to an assessment method of a voltage sag integration severity based on an energy index. The method is characterized by calculating a system side voltage sag event severity basedon an energy index; establishing an equipment side fault membership function based on the energy index; and establishing a voltage sag integration severity based on the energy index. In the invention,the voltage sag influences of a system side and an equipment side are integrally considered, and through the compatible relation of the two, the voltage sag integration severity is calculated. When the equipment fault membership function is calculated, a fault probability model based on the energy index is used to realize accurate assessment of the voltage sag integration severity, and problems that assessment is not accurate and an assessment process is tedious in an existing index are effectively avoided. The method is of great significance to improving power grid power supply quality, reducing economic losses and increasing a user satisfaction degree and the method is suitable for large scale assessment scenes.

The present invention relates to a heat-retaining fiber structure comprising a cloth layer having a moisture / heat release control capability laminated with a cloth layer having water molecule adsorption / heat release capability, wherein said cloth layer having the moisture / heat release control capability has a moisture permeability of 3000-12000 g / m<2>.24 hr and said cloth layer having water molecule adsorption / heat release capability has an exothermic energy index of 5 or larger and a contact thermal sensation factor (qmax) of 0.1 W / cm<2 >or less. This constitution makes it possible to provide clothing having high heat-retaining performance achieved by water molecule adsorption capability.

The invention discloses an early warning method of a mine ground pressure disaster. The early warning method comprises the following steps: firstly, positioning seismic source position coordinates ofmicroseisms events occurring during deformation and failure of a rock mass in a mine by using a mine microseisms monitoring system; combining the seismic source position coordinates of all the microseisms events, then enabling every three points to form a plane from, and solving the distribution of the normal vector of each plane in the vertical projection orientation to obtain dominant orientation of the normal vector of a fracture plane; setting a plane vertical to the dominant orientation of the normal vector of the fracture plane as a dominant fracture plane, and statistically analyzing adistribution space of the dominant fracture plane area to obtain an early warning space; analyzing according to an accumulative apparent volume-energy index and a spatial-temporal b value variation rule of the dominant fracture plane area to obtain the early warning time and the risk grade of the ground pressure disaster; performing early warning on the time, the space and the grade of the groundpressure disaster according to the ground pressure risk grade. According to the early warning method, a plurality of indexes are used for performing early warning on the ground pressure disaster, so that early warning can be performed on the space, the time and the grade of the ground pressure disaster in time, and guidance is provided for disaster control.

The invention discloses an absorbed blasting vibration energy comfort evaluation method of a multistorey building. The absorbed blasting vibration energy comfort evaluation method comprises the following steps: establishing an absorbed blasting vibration energy index, evaluating human body vibration characteristics by energy transfer and conversion, and analyzing blasting vibration energy frequency band representation by a power spectrum density value to obtain blasting vibration adsorption energy values in different frequency band ranges; analyzing the dynamic response characteristics of a building; obtaining the displacement amplification coefficient of a structural body; according to influence on the building by blasting vibration energy composition and different pieces of frequency band energy, carrying out frequency weighting on the vibration energy, and calling an energy weighting value as the absorbed blasting vibration energy of building frequency weighting; and multiplying each piece of frequency band energy by a human body vibration response weighting coefficient to obtain the absorbed blasting vibration energy of human body frequency weighting. By use of the absorbed blasting vibration energy comfort evaluation method, the magnitude and the frequency composition of total blasting vibration energy received by the human bodies in different floors of the building can be accurately calculated so as to achieve a purpose that blasting vibration energy comfort is accurately and objectively evaluated.

The invention discloses a traction converter fault early warning method, comprising the following steps: extracting operation data of a rectification inversion module and a network from historical data, and constructing an EOVW energy index by using the operation data of the rectification inversion module to obtain data characteristics and fault information; associating the data features with thenetwork operation data according to vehicle types, vehicle numbers and time, performing clustering analysis operation on the associated data according to the vehicle types and fault types to obtain atime range of data exception before faults, and adding fault early warning labels to the exception data; and introducing all the data into a random forest classifier for iterative training until the classification accuracy of all the random forest classifiers reaches a threshold value, classifying the actual operation data by using the trained classifier, and sending early warning information if the actual operation data does not pass the classification accuracy. And the service life of the traction converter is prolonged, and the operation and maintenance cost is reduced. The invention also discloses a traction converter fault early warning system which has the above beneficial effects.

The invention provides a crosslinked polyethylene high-voltage cable partial discharge feature extraction method, and belongs to the technical field of high-voltage cables. The high-voltage cable partial discharge feature extraction method aims to solve the problem that partial discharge feature extraction is inaccurate in an existing high-voltage cable partial detection method. According to the method, firstly, metal sheath grounding current signals generated when crosslinked polyethylene high-voltage cable partial discharge happens is acquired through a high-frequency current mutual inductor; then, current signals are converted into digital signals; next, wavelet packet decomposition is conducted on the digital signals, modulus maxima extraction and singularity detection are sequentially conducted on decomposed wavelet packet node coefficients or reconstructed signals, and wavelet packet energy index entropy calculation is conducted; finally, a discharge feature curve is drawn according to the operation result, and crosslinked polyethylene high-voltage cable partial discharge feature extraction is achieved. By means of the crosslinked polyethylene high-voltage cable partial discharge feature extraction method, the cable partial discharge feature extraction accuracy can be improved, and technical support is provided for next high-voltage cable partial discharge.

The invention discloses an energy-saving potential analysis method for a thermal power unit. The method includes the steps: respectively calculating actual operating values and target values of boiler loss energy, total boiler loss energy, steam turbine input energy, steam turbine loss energy, power generation input energy, plant power consumption energy and power supply output energy indexes of the thermal power unit; comparing differences of the target values and the actual operating values of all the energy indexes to obtain thermal power unit parts high in energy-saving potential and high in loss ratio, and then finding key factors influencing maximum loss in energy conversion of the thermal power unit; quantitatively acquiring influences and size of influence quantity of the key factors on power supply coal consumption through a consumption difference analysis method, and then technically improving the factors large in influence; and combining an energy loss analysis method and the consumption difference analysis method to finally acquire key parameter quantity influencing energy consumption of the thermal power unit to provide bases for optimizing the thermal power unit. The method is used for optimizing performance of the thermal power unit so as to improve economical efficiency of the thermal power unit.

The present invention relates to a method of controlling the combustion phase of a fuel mixture of a spark-ignition supercharged internal-combustion engine comprising at least one cylinder (12) with a combustion chamber (14), at least one fuel supply means (48, 52) and spark ignition means (38).According to the invention, the method consists, for high loads and low speeds of said engine, in determining, during the combustion of the fuel mixture, the value of crank angle (θ′) where the maximum cylinder pressure (Pmax) occurs in the combustion chamber ; in comparing the value thus determined with a maximum angle threshold value (θmax) representative of an abnormal combustion in said chamber ; in detecting the start of an abnormal combustion when the determined value reaches said threshold value and when the ignition means are not actuated ; and in feeding an amount of another fuel into the fuel mixture in order to modify the energy index of this mixture so as to reduce the crank angle where the maximum cylinder pressure occurs.

The invention relates to the field of intelligent power grids, in particular to an AI-based intelligent diagnosis method, a system and a device. The core of the method is AI + IoT. The method is composed of standardized and industrialized IoT edge computing hardware equipment and a customized AI module, and comprises the following steps: an acquisition unit of IoT equipment acquires power consumption data; the cloud platform trains an AI model according to historical data, the AI model is continuously and dynamically perfected according to new data, and an edge computing unit of the IoT equipment inputs acquired power consumption data into the trained artificial intelligence AI model to obtain related data. Real-time prediction of governance is achieved, the real-time monitoring level of abnormal standard exceeding of energy indexes is practically improved, and a previous working mode of semi-manual system detection and manual verification is changed into a full-automatic intelligent AI analysis mode. Finally, a brand-new software and hardware form of a cloud platform, edge computing equipment, an intelligent field terminal and an intelligent IoT chipset module is realized. A user-side energy system and a power distribution management system are redefined, and the age of software-defined energy is started.

The invention provides a multifunctional electrical control early-warning communication system based on stratum construction. A storage processing module is used for arranging collected data, comparing the data with a preset threshold of an early warning value preset module and sending out early warning information when the collected data exceeds the preset threshold value; the collected data information, the comparison information and the early warning information are stored into a server at the same time; an index analysis module is used for converting elastic energy data into elastic energy indexes, converting impact energy data into impact energy indexes, and converting bending energy data into bending energy indexes; a data display module is used for sending the collected data information, the comparison information and the early warning information to a display screen, a computer terminal and a mobile terminal through a wireless network. Early warning indexes are constructed and the model and the early warning system are identified and analyzed from the aspects of disaster objective risk, prevention measure defects and management defects and the like, and refining, real-time transformation, intelligent management and disaster early warning are performed from the process.

The invention discloses a fuzzy evaluation method of voltage sags, which is characterized by comprising the following steps: (1) establishing an input variable membership function by using a turnoff of a standard curve as a basis according to an SAPP voltage sag standard NRS 048-2:2003, a standard ITIC curve of the American Information Technology Industry Council, a standard SEMI F47 curve of a semiconductor equipment manufacturer international organization and the low voltage ride through requirements of wind power plants of various regions; (2) making an inference rule by combining input variables and determining that each pair of the input variables correspond to a unique output; (3) zoning a voltage sag retained voltage-duration planar graph according to an output rule and establishing an output membership function by combining a voltage sag energy index; and (4) carrying out a defuzzication calculation according to a mass center theory and outputting a voltage sage fuzzy evaluation result. The fuzzy evaluation method of voltage sags can accurately and objectively reflect the integrated influence of the voltage sags on a power supply system and sensitive equipment.

The invention discloses an ore dressing production index visual analysis system based on Internet-of-things and industrial cloud and a method thereof. The system comprises a production index data acquiring unit, a production index configuring unit, a production index managing unit, a production index visualizing unit, a production index analyzing unit and an abnormity alarming unit, wherein the production index data acquiring unit is used for acquiring ore dressing production full-process production index data which comprise a quality index, a metering index, an energy index, a technological index, a cost index and an equipment operation statistics index and stores the data into a local database. The system and the method according to the invention realize configuration management, visualanalysis and abnormity processing on the ore dressing production index, and furthermore realize a purpose of improving effectiveness degree of ore dressing important production index visual analysis.

A narrow linewidth excimer laser consists of a prism beam expanding system, an ultraviolet grating, an ultraviolet etalon, a discharging chamber and a coupling output mirror. Excimer laser is subjected to linewidth reduction by the prism beam expanding system and the ultraviolet grating; and the output linewidth laser passes through the ultraviolet etalon which is placed vertical to a light path and outside a resonant cavity to further reduce the spectrum. The narrow linewidth excimer laser provided by the invention is compact in structure, simple in adjustment, low in loss of the cavity and high in gain, so that the linewidth spectrum and high output energy index can be acquired at the same time.

The invention discloses a human body health nutrition management method and system based on liquid detection so as to solve the technical problems that an existing health management device and system can not realize the regulation of the diet behavior of a user and can not improve the health state of the user. The method comprises the following steps that: pre-storing the body information of the user, and generating a reference water intake, a reference energy intake and a reference nutrition intake according to the body information; collecting and recording beverage information and food information taken by the user, and detecting the urine parameter of the user at a certain time period; according to the beverage information and the food information, analyzing to obtain the practical water intake, the practical energy intake and the practical nutrition intake of the user; comparing the reference water intake with the practical water intake to obtain a moisture index, comparing the reference energy intake with the practical energy intake to obtain an energy index, and comparing the reference nutrient intake with the practical nutrition intake to obtain a drinking balance index and a nutrition index; and according to the urine parameter, obtaining a correction index.

A wheel servicing machine such as a wheel balancer includes an acoustic transducer configured to measure energy of one or more reflected acoustic waves after the waves have bounced off a material boundary surface such as a wheel assembly. In some embodiments, a return energy index signal representative of the measured energy is generated by a transducer and is further processed by a processor to control operations of the machine. The acoustic transducer also measures distance between the transducer and the wheel assembly surface in some embodiments. One or more values in a sample queue of acquired distance data may be flagged, or indexed, based on variation in the magnitude of the return energy signal. Methods of measuring wheel width using sonar measurement of both distance and reflected energy are also provided.

The invention discloses a method and an instrument for analyzing the energy indexes of the cerebral blood vessel. The method comprises the steps of: detecting out the blood flow velocity wave form, the numerical value, the blood vessel diameter and the pressure waveform of carotid artery; detecting out the diastolic pressure and the systolic pressure of a human body to obtain the pressure waveform and the numerical value of the carotid artery; then calculating out the total potential energy, the stable potential energy, the oscillation potential energy, the total kinetic energy, the stable kinetic energy, the oscillation kinetic energy, the total energy, the stable total energy and the oscillation total energy of the cerebral blood vessel, and finally calculating out the ration of the oscillation total energy to the total energy, the ratio of the total kinetic energy to the total energy, the ratio of the oscillation potential energy to the total potential energy and the ratio of the oscillation kinetic energy to the total kinetic energy of the cerebral blood vessel. The detection analysis instrument comprises a detection system, a control system and a computation analysis system, wherein the control system can send an operation command to each detection module and can also transmit the acquired data information to a master industrial personal computer. A series of indexes of the cerebral circulation blood flow energy can be comprehensively analyzed with an invasive method, therefore, the invention has great importance for the basic research and clinical application of the cerebral circulation.

The invention discloses a seismic data abnormal amplitude suppressing method. The method comprises the steps that seismic channel signals are extracted, and time and frequency double-domain decomposition is conducted; an effective wave amplitude region is found under each corresponding frequency according to effective wave amplitude distribution; the energy index of effective amplitude is calculated in the effective wave amplitude regions to serve as the average amplitude energy index; the energy index of a sampling point is calculated and compared with the average amplitude energy index, and the amplitude of the sampling point is classified as suspicious abnormal amplitude if the energy index of sampling point is larger than the average amplitude energy index; for the suspicious abnormal amplitude, subtraction is conducted on the energy index of the suspicious abnormal amplitude and the average amplitude energy index, the difference value is then compared with the average amplitude energy index, and the suspicious abnormal amplitude is an abnormal amplitude value if the comparison value is larger than a given valve value; the abnormal amplitude value is attenuated; time-frequency spectrum signals are reversely transformed into the time domain, and the suppression of the abnormal amplitude is completed. By means of the method, the problem that suppression of the abnormal amplitude is not thorough in a conventional method is solved, effective signals are protected, and the signal-to-noise ratio of seismic data is increased.

The invention relates to the technical field of coating interface bonding strength detection and discloses a coating interface bonding strength detection method. The method includes steps: on the basis of coating and substrate related data, determining a cohesive zone unit which representing coating interface bonding characteristics; on the basis of a cohesion-opening displacement relation abidedby a cohesive zone and cohesive zone parameters, calculating to obtain a coating bonding strength simulation result; on the basis of comparison between the simulation result and a coating bonding strength testing result obtained through experiments, acquiring coating interface bonding strength description stress indexes and energy indexes. By the coating interface bonding strength detection method, a whole process of interface crack initiation and expansion along an interface can be described, given interface bonding performance representation indexes only depend on intrinsic characteristics of coating materials and are irrelevant with specimen geometry.

The invention discloses an analysis method of a circuit-breaker arc-extinguishing-chamber electrical life. The method comprises the following steps of during an operation process that a circuit breaker arc extinguishing chamber bears a load or fault current, monitoring and recording a prebreakdown current waveform and arc burning time in a closing process of the circuit breaker arc extinguishing chamber and a breaking current waveform and the arc burning time in an opening process so as to determine energy indexes in the closing and opening processes; according to the energy indexes, analyzing and determining an ablation state of a key position of the circuit breaker arc extinguishing chamber, and then according to the ablation state, analyzing and determining a flow field characteristic index; and finally, through comparison of the flow field characteristic index and a given threshold, analyzing the electrical life of the circuit breaker arc extinguishing chamber.