132 results about "Life value" patented technology

A system (10) and method for monitoring the operational life and / or performance of one or more light-emitting diodes (LEDs) (20) based on sensed parameters are disclosed. The remaining life of each LED may be predicted by counting the clock cycles during which the LED-based light is activated. LED current and / or temperature measurements may be used to control the clock signal and, thus, to compensate the predicted life value. Furthermore, operational characteristics of the LED-based light may be monitored based on LED current and / or voltage measurements. Such characteristics may include performance (e.g., intensity) and failure conditions (e.g., open or short circuits).

The invention discloses a CNN and LSTM-based rolling bearing residual service life prediction method, and relates to the field of rolling bearing life prediction. The method aims to solve the problemthat residual service life (RUL) prediction of a rolling bearing is difficult in two modes of performance degradation gradual change faults and sudden faults. The method comprises the following stepsof: firstly, carrying out FFT (Fast Fourier Transform) on an original vibration signal of the rolling bearing, then carrying out normalization processing on a frequency domain amplitude signal obtained by preprocessing, and taking the frequency domain amplitude signal as the input of a CNN (Convolutional Neural Network); The CNN is used for automatically extracting data local abstract informationto mine deep features, and the problem that a traditional feature extraction method depends too much on expert experience is avoided. the deep features are input into an LSTM network, a trend quantitative health index is constructed, and a failure threshold value is determined at the same time; And finally, smoothing processing is carried out by using a moving average method, eliminating local oscillation, and a future failure moment is predicted by using polynomial curve fitting to realize rolling bearing RUL prediction. And the prediction result can be well close to the real life value.

A system (10) and method for monitoring the operational life and / or performance of one or more light-emitting diodes (LEDs) (20) based on sensed parameters are disclosed. The remaining life of each LED may be predicted by counting the clock cycles during which the LED-based light is activated. LED current and / or temperature measurements may be used to control the clock signal and, thus, to compensate the predicted life value. Furthermore, operational characteristics of the LED-based light may be monitored based on LED current and / or voltage measurements. Such characteristics may include performance (e.g., intensity) and failure conditions (e.g., open or short circuits).

The invention relates to a battery degradation state model-based lithium ion battery cycle life prediction method, aiming at solving the problem of difficulty in modeling existing in the conventional lithium ion battery cycle life prediction process. The battery degradation state model-based lithium ion battery cycle life prediction method comprises the following steps: 1, acquiring battery monitoring data and preprocessing the data; 2, obtaining a battery degradation state model according to battery degradation state model training; and 3, predicting the lithium ion battery cycle life according to the battery degradation state model obtained by the step 2 to obtain a lithium ion battery cycle life value so as to realize battery degradation state model-based lithium ion battery cycle life prediction. The battery degradation state model-based lithium ion battery cycle life prediction method is suitable for the field of batteries.

An embodiment of the invention provides a direct-current bus electrolytic capacitor life test method and device. The method includes: controlling a direct-current bus electrolytic capacitor to charge and / or discharge, and determining the variation relation between capacitance of the direct-current bus electrolytic capacitor and time of charging and / or discharging process; determining a life value of the direct-current bus electrolytic capacitor according to a minimum capacitance that full-load output requires and the variation relation; according to the life value and a life prediction formula of the direct-current bus electrolytic capacitor, calculating operating temperature of the direct-current bus electrolytic capacitor; according to the calculated operating temperature and measured ambient temperature of the direct-current bus electrolytic capacitor, acquiring a temperature correction coefficient; using the temperature correction coefficient to correct the life prediction formula, and testing the life value of the direct-current bus electrolytic capacitor by the corrected life prediction formula. By correcting the electrolytic capacitor life prediction formula, the life of the electrolytic capacitor can be accurately predicted.

The invention relates to an improved flame-simulation acceleration algorithm based on a particle system, which comprises the following steps: (1) pretreating a generated track so as to record accelerated speeds, colors and life value attributes of particles; (2) generating particles with a particle emitter; (3) distributing a track to each particle; (4) obtaining more three attributes of the particle from the track and updating other attributes of the particle; carrying out the step (5) if the particle reaches an end frame of the track; rendering the particle; updating track information, and carrying out the step (6) if the track life is 0; and repeating the step (4) till the system exits; (5) regenerating the particles and distributing the tracks; and (6) recalculating the tracks and regenerating all particles on the tracks. Compared with a method of the traditional particle system and a track method, the improved flame-simulation acceleration algorithm has the advantages that the calculated amount of the traditional method is greatly reduced, so as to play a role in acceleration on one hand; on the other hand, the distortion problem of rendering in the track method can be solved, the rendering of large-scale surface combustion can be supported, and the improvement can be realized.

The invention provides an electro-thermal simulation method for FS (Field Stop) type IGBT (Insulated Gate Bipolar Transistor) transient temperature characteristic. An FS type IGBT switching transient working process is actually tested and is analyzed by being combined with an IGBT working principle and a semiconductor physical principle to determine that the IGBT transient temperature characteristic is mainly influenced by life of internal excess carrier, so that the electro-thermal simulation method is established. The method comprises the following steps of: actually testing carrier life values extracted at different temperatures to acquire a relational expression of the carrier life and temperature; calculating through an empirical value formula to acquire a relational expression amongthreshold voltage, transconductance, emitter saturation and current as well as the temperature; and adding temperature related parameters into an FS type IGBT current tailing stage current analyticalexpression and a switching transient model equation set and calculating to acquire transient working waveform of the FS type IGBT at different temperatures. The electro-thermal model simulation method provided by the invention simultaneously has the advantages of simple parameter calculation and high accuracy.

The invention provides a modeling method for a combined stress accelerated life test damage accumulation model of a space driving assembly and belongs to the field of reliability and service life evaluation of the space driving assemblies. The modeling method comprises the following steps of: carrying out an accelerated lift test on the space driving assembly with a main fault mode as fatigue by adopting combined stress; analyzing test data to determine the failure probability accumulated under the stress from start time t0 to time ti; then determining a combined stress acceleration model of a failure sample and a truncated sample to obtain a maximum likelihood function of the acceleration model; and finally, estimating relevant parameters in the model to obtain a final acceleration model, wherein a life value under any load spectrum can be determined according to a generalized Eyring model. The modeling method disclosed by the invention is suitable for the combined stress accelerated life test of the space driving assembly; and according to the modeling method, test time can be shortened; test expenses are saved; a test sample and the truncated sample subjected to a conventional life test can be effectively utilized; and the life of the space driving assembly can be evaluated accurately.

The invention relates to a method and a system for managing die manufacturing information, which are applied to managing various categories of information data of die manufacturing, wherein a graded server is arranged in the system to form a management terminal and is connected with one or more client terminals through a router; the server and the client terminals also comprise human-computer interfaces connected with the server and the client terminals and are provided with a same storage cell for storing data information of various information categories; the storage cell comprises a plurality of data cells for storing data; a classifying label die can use the periodical maximum life value, initialize and store the numerical value of the maximum life value in a database, and modify and store the numerical value of the life cycle according to a diminishing law by recording the calling times of the die; the client terminals communicate with the server by connecting the router, add, modify, delete, search and perform full-text retrieval on the information data of the die manufacturing; and the human-computer interfaces display and input related die data information.

The invention discloses a road load test method and system. The method comprises the steps of: with a sample vehicle running on roads on a test site, extracting an original road load spectrum; filtering the original road load spectrum, and obtaining the road load spectrum which has been filtered; based on a multi-body dynamics automobile model and in accordance with road load spectrum which has been filtered, obtaining the road load spectrum for carrying out the simulation through virtual iteration technology; through load decomposition, obtaining load data at each preset connection point of the vehicle body and a chassis; and based on the load data, calculating a first fatigue endurance value of each preset connection point. The method can obtain the actual original road load spectrum on different test sites, and based on the actual original road load spectrum, can calculate the fatigue life value, and can further predict a more accurate fatigue life of the vehicle, which can effectively increase the fatigue endurance of the vehicle body and provide the effective basis for the optimization and improvement of a vehicle structure in vehicle design.

The invention discloses a method and a device for controlling a virtual object to perform shortcut operation, equipment and a storage medium. The method comprises the steps that a user interface is displayed, the user interface comprises a virtual environment picture, the virtual environment picture is a picture for observing a virtual environment from the perspective of a first virtual object, and the first virtual object is an object using a remote virtual prop; when the relative spatial positions of the first virtual object and the second virtual object in the virtual environment meet a switching condition, a shortcut trigger control corresponding to a short-range virtual prop is added to be displayed on the user interface; and when a trigger operation on a shortcut trigger control corresponding to the short-range virtual prop is received, the first virtual object is controlled to switch the remote virtual prop into the short-range virtual prop, and the first virtual object is controlled to use the short-range virtual prop to reduce the life value of the second virtual object.

A printer includes at least one replaceable module which is removable from the printer. A processor discontinues an operation of the printer when the processor determines that an end of life value for the replaceable module is reached unless an appropriate identifier is input which allows the operation of the printer to continue beyond the end of life value. The identifier may be provided by a supplier at the end of life point, provided that an order for a replacement module is received.

The invention relates to a device for estimating the cycle life of a battery, comprising a measuring unit, an observer unit, an adaptability parameter unit, an inner voltage estimating unit, an open-circuit voltage estimating unit, a battery cycle life computing unit and a battery residual electricity quantity estimator, wherein the measuring unit is used for measuring the working currents, the working voltages and the working temperature of the battery; the observer unit can observe the voltage of the output end of the battery and the voltage of an RC (Resistance Capacitance) parallel circuit of the battery; the adaptability parameter unit can update the parameter values of the battery; the inner voltage estimating unit can estimate the inner voltages of the RC parallel circuit of the battery; the open-circuit voltage estimating unit can compute the static open-circuit voltages of the battery; the battery cycle life computing unit can compute the cycle life value of the battery; and the battery residual electricity quantity estimator can estimate the residual electricity quantity value of the battery.

The invention relates to an electronic energy-saving lamp service life rapid detection method. The existing detection method is long in period and low in efficiency. The method of the invention includes that firstly two groups of electronic energy-saving lamps are placed under high temperature stress condition and subject to constant heat stress accelerated life test, so as to obtain the tested life value; and then the service life of test sample under normal temperature condition is calculated by combining arrhenius model according to the tested life value of the test sample under high temperature stress condition. The invention greatly shortens test and detection time, saves energy source and other experimentation cost and has higher life calculation evaluation accuracy.

The invention provides a cross-linked polyethylene cable life detection method. The life of a cable is determined through testing. Test data temperature, illumination intensity, oxygen concentration and humidity information act as variables, and a neural network is trained. After a cable life prediction neural network is established, temperature, illumination intensity, oxygen concentration and humidity information of the environment in which the cable to be detected is laid is inputted, and the neural network calculates and gives the predicted life value of the cable so that the predicted service life and the residual life of the cable can be assessed and reference can be provided for replacement of the cable. The defects of the conventional cable life detection method are overcome, the structure of the cable is not damaged, error of the assessment result is low and the detection result is accurate. Reference is provided for laying and replacement of the cable, the complicated process of replacement of the cable is reduced, waste of materials can be reduced, cost can be saved, accident hidden trouble is less and fire and other disasters caused by the cable are less.

A method of indicating extant battery life has the steps of initially determining a first extant battery life value having a first confidence level and generating a perceivable indication of the first battery life value. The method also has the step of determining a second extant battery life value having a second confidence level and generating a perceivable indication of the second battery life value after generating the perceivable indication of the first battery life value. The second confidence level is higher than the first confidence level and the determination of the first extant battery life value is completed before the determination of the second extant battery life value is completed.

The drive and control protection method for a large-power pumping laser assembly comprises: real-time monitoring the heat sink temperature and drive current for every pumping laser, counting laser working time, and using the product of counted time and life factor to estimate laser service time; according to balance principle on life service and heat sink temperature, adjusting power allocation to properly reduce / add the drive power for laser with higher / lower estimated life value. This invention makes multiple laser aging level toward consistent.

The invention provides a learning state hybrid analysis method for a static multi-person scene. At the beginning of a class, the concentration degrees of the students are highly concentrated, according to the invention, the face is detected by using an algorithm with high front face detection speed and high precision, and the static position areas of the students are estimated; then, the life values and the hit values of the static positions of the students are judged, an algorithm with high side face detection precision is called, so that through the double-layer face detection, the accuracy of face detection in the static multi-person scene, such as a classroom, etc., is greatly improved, and the operation speed is ensured. For the recognized and obtained head postures and facial expressions of the students, the concentration degrees of the students are obtained by comparing and calculating the head postures of the students with the head postures of the surrounding students, the expressions of the students are classified in a plurality of ways, and the diversity of the expression classification and the calculation of the concentration degree of the students can improve the reliability of the analysis result of a multi-modal feature analysis module.

An embodiment of the invention provides a method for detecting a service life of a bus capacitor and an apparatus thereof and relates to the electronic technology field. Accuracy of estimating a residual life of the bus capacitor can be increased and an accurate and effective reference can be provided for equipment maintenance and capacitor replacement. The scheme comprises the following steps of collecting a condition parameter of the bus capacitor at a current moment; according to the condition parameter of the current moment and a preset corresponding relation, acquiring a total service life of the bus capacitor under the condition parameter of the current moment; and calculating a residual life value of the bus capacitor at the current moment under a standard condition. The method and the apparatus are used for detecting the service life of the bus capacitor.

The invention relates to a civil engineering structure reliability evolution and residual life prediction method. The method comprises the following steps of: firstly, judging possible control sections of a structure according to numerical value analysis or mechanical knowledges; secondly, assuming distribution obeyed by each parameter through a statistical result of initial design information, and then calculating probability distribution obeyed by resistance and load of the structure; calculating a rigidity attenuation coefficient D (i) under the influences of the load, shrinkage and creep; furthermore, updating a resistance distribution function of the structure to obtain resistance probability distribution at the moment and obtain a reliability-load curvilinear relationship; establishing a reliability-time curve and predicting residual service life of the structure after undergoing load steps; and finally, combining actually measured information to continuously updating the residual life prediction result, and taking a shortest life value of each control section as the residual service life of the whole structure.

A computerized method is presented for the management of job distribution among a population of networked production machines through balancing of the usage load over the population of networked machines based upon wear data. The method includes initializing a production server, which communicates with the networked production machines. The wear rate for each monitored component within each machine is synchronized, as is the residual life for each monitored component. The residual life value for each networked production machine is communicated to the production server. A determination is made as to whether a job request has arrived, and production machine(s) are selected to perform the job, with selection based on the state of wear of each networked production machine and the wear policy being applied to the network. The residual life values for the selected production machine(s) are updated based on the requirements of the job.

The invention discloses an attacking object hurting acquiring method, device and equipment in a virtual environment, and belongs to the field of computers. The method comprises the steps that after itis determined that an attacking object launched by a virtual object hits a target object, attenuation parameters of at least two mediums passed by the attacking object in the flight process of hitting the target object are acquired; according to the attenuation parameters of the at least two mediums, the damage value of the target object is calculated after the attacking object passes the at least two mediums; the life value or durable value of the target object is deducted according to the damage value. According to the method, the damage value caused by the attacking object on the target object is calculated according to the attenuation parameters of the at least two mediums passed by the attacking object after the speed of the attacking object is reduced in the virtual environment, theproblem in the prior art is solved that calculation for the damage value of the attacking object does not take into account environment influences, so that the reality degree of the virtual environment is poorer, and the reality degree of the virtual environment is improved.

A smoke device (100) comprises a smoke box (110), a heating element (120), and an air blowing device (130). The smoke box (110) is provided with a containing cavity (111), an air inlet (113), and an air outlet (115). The air inlet (113) and the air outlet (115) are in communication with the containing cavity (111). The containing cavity (111) is used for containing a tobacco liquid. The heating element (120) is mounted in the containing cavity (111). The heating element (120) generates heat after being powered on so as to atomize the tobacco liquid. The air blowing device (130) is disposed corresponding to the air inlet (113) and is used for blowing an air flow into the containing cavity (111). According to the smoke device (100), the tobacco liquid in the smoke box (110) is heated by means of the heating element (120) so that the tobacco liquid is atomized into smoke, and the smoke is exhausted from the smoke box (110) by means of the air blowing device (130). The smoke device (100) has a compact structure and facilitates the miniaturization design. Also provided are a prompting method and device (20) for prompting state information of a physical game role, and a remote control combat vehicle (30). Prompts are made by emitting different smoke when a life value of a game role is changed and the game role is in the states in which the game role is shot, encounters a land mine, is frozen, is dizzied, sacrifices, and the like.

The invention provides a water purifier and a method for determining a residual life value of a water purification filter element in the water purifier. The water purifier comprises a water purification filter element, a pressure barrel, a high voltage switch, a stabilized pressure pump and a controller, wherein the water purification filter element is connected with a raw water inlet and used for purifying the raw water entering from the raw water inlet; the pressure barrel is connected with the water purification filter element and used for storing pure water purified by the water purification filter element; the stabilized pressure pump is arranged between the water purification filter element and the pressure barrel and used for stabilizing the water pressure of a water path; and the controller is connected with the stabilized pressure pump and used for controlling the operation state of the water purifier, counting the accumulated operation time of the stabilized pressure pump and adjusting the residual life value of the water purification filter element according to the accumulated operation time. By adopting the water purifier, the technical problem in the prior art that the cost for determining the life value of the water purification filter element by virtue of a pulse counter is excessively high can be solved, and a technical effect for effectively decreasing the cost of the water purifier can be realized.

The invention discloses a prediction method for fatigue reliability of a cable support in a subway tunnel. The method comprises: considering nondeterminacy of model parameters, using a response surface method to generate parameter samples; according to the parameter samples, establishing a finite element model, converting a track irregular spectrum to an irregular spatial waveform, used to adjust node coordinates of steel rail nodes in the model; the steel rail node being provided with a vertical pressed non-pulled unit, used to simulate wheel-rail contact; establishing a train-rail model, a tunnel-soil mass model, and a support-cable model and solving, to obtain stress time-history of the node on the root of the support, amplitude of the node being maximum; using a rain-flow counting method to calculate fatigue life; according to the parameter samples and a fatigue life value to fit the response surface and calculating a reliability index; accordingly, a series of fatigue life target values can be assigned, calculating the corresponding reliability index, so as to draw an invalid exceedance probability curve of the support.

The invention, which belongs to the technical field of insulation diagnoses of the electrical equipment, relates to a hardness-retention-rate-based rapid detection method of a residual life of a low-voltage cable, thereby carrying out detection diagnoses and residual life evaluation on the insulating state of the low-voltage rubber cable. The method comprises: a service life of a cable is evaluated by using a hardness retention rate; accelerated aging testing is carried out on a cable insulating material to obtain a service life equation in which the hardness retention rate of the cable changes with the aging temperature and the aging time; and then a residual life value of the cable is obtained by using the service life equation of the cable. Because the hardness detection method is a rapid and non-destructive detection method, the service life evaluation equation of the cable insulating state can be deduced only by measuring the insulating layer hardness value of the to-be-measured cable during field measurement; and evaluation and prediction can be carried out on the service life of the cable under each working temperature.

The invention relates to an electric energy meter life evaluation method based on accelerated degradation test. The method comprises the following steps: 1, acquiring electric energy meter accelerateddegradation test data, and estimating the distributed parameter values of a degradation path model of the electric energy meter degradation characteristic quantity under different stress levels; 2, selecting an accelerated degradation model according to the type of acceleration stress, and calculating the false life values of the electric energy meter under different stress levels according to the failure thresholds of the degradation characteristic quantity in the test; 3, calculating acceleration factors corresponding to different stress levels according to the accelerated degradation model, and converting false life values of acceleration factors under different stress levels to the normal work stress level; 4, selecting the life distribution type of an electric energy meter, and estimating the unknown parameter values in a life distribution function; and 5, estimating by utilizing the life distribution function to obtain the life of the electric energy meter under a normal work stress level. Compared with the prior art, the method has the advantages that the life condition of the electric energy meter can be accurately estimated, and more conforms to engineering practice.