68results about How to "Implement adaptive functions" patented technology

The invention discloses a mobile agent-based Internet of things middleware development method, which is used for remarkably improving the application capability of Internet of things middleware and reducing the development cost of Internet of things middleware application for diversified quality of service (QoS) needs of the Internet of things and dynamic network states. To realize a mobile agent-based Internet of things application program, the method is required to be characterized in that: the functions of the whole application program are required to be realized by a mobile agent, and the functions of the mobile agent can be dynamically changed on a network, and can be dynamically inserted into or deleted from hardware equipment to change own functions of the hardware equipment so as to achieve the aim of reprogramming of the network; and the agents can cooperate and communicate with one another. In the method, powerful and flexible Internet of things middleware is constructed to maximally shield the low-level details of the network and completely develop the technical advantages in the aspects of multi-type data sensing, short-distance wireless communication, self-networking, multivariate data cooperative processing and the like.

The invention relates to a video pre-monitoring technology, in particular to a self-adaptive multi-channel and multimode video pre-monitoring method used for hardware of a video server. The method comprises the following steps: after the input multi-channel video data is received, the input video data format is set, and the video re-sampling is performed; and then the video mixing is performed to the multi-channel video data, the mixed data is output by positioning, and a multi-channel video pre-monitoring window picture is formed by configuring the position of a pre-monitoring picture. The invention is suitable for (but not confined to) simultaneously monitoring the video data of all the channels under the multi-channel video data acquisition mode of the video server, the hardware self-adapting function of video pre-monitoring as well as the video mixing function of the multi-channel data is realized by the method, the display can be performed through various template forms, and the invention can be used for various devices such as analog television walls, material browsers, and the like by adjusting the data source or the video arrangement method.

The invention discloses a light high-accuracy digital control system for a miniature flywheel. The system belongs to a kind of posture control execution mechanism applied to miniature satellites which are lighter than 100Kg, and mainly comprises a field programmable gate array (FPGA) module, a three-phase full-bridge driving device, an RS-232 communication circuit, a Buck converter, an analogue-to-digital (AD) sampling circuit and a signal conditioning circuit, a Hall signal filter and the like, wherein the FPGA module comprises an instruction parser, a moment-current converter, a single-neuron adaptive proportion integration differentiation (PID) controller, a pulse width modulator (PWM), a commutation logic signal generator and the like. By the invention, a nonlinear transformation online correction method is adopted; the digital control system for the miniature flywheel is formed by taking the FPGA module as a control core based on a single-neuron adaptive PID control algorithm; and the high-accuracy moment output of the posture control execution mechanism for the miniature satellite is realized by adopting a moment mode. The invention has the characteristics that: the algorithm is simple and easy to implement; the system is quick in response, low in power consumption, high in reliability, flexible in design and particularly suitable for the miniature satellite; the power density of the miniature flywheel is increased; the mass and volume of the miniature flywheel are decreased; and cost is decreased.

The invention relates to a multi-sensor quantitative fusion target tracking method based on a variational Bayesian method and a strong tracking information filtering method. According to the multi-sensor quantitative fusion target tracking method, a structure including a primary processor and a secondary processor are provided. In the primary processor, an enhanced measurement matrix H(k) and enhanced global information z (upsilon, k) are constructed; one-step prediction (k|k)-1) and corresponding covariance P(k|k-1) are calculated, global information predication z (k|k-1) is calculated, and a z (upsilon, k, 1), the (k|k)-1 and the P(k/k-1) are sent into the secondary processor. In the secondary processor, information noise variance is calculated, and (upsilon, k, 1) is sent to the primary processor, and in the primary processor, fusion estimation and corresponding covariance can be obtained through calculation, wherein please see the instruction for the formula of fusion estimation and corresponding covariance. Due to the fact that the variational Bayesian method and the self-adaptive strong tracking information filtering method are adopted in the multi-sensor quantitative fusion target tracking method, the high tracking capacity is achieved, unknown variance of noise can be estimated and measured, and the self-adaptive function can be achieved. Meanwhile, an attenuation coefficient can be estimated through an iterative method without calculating a jacobian matrix.

The invention discloses an optical port adaptive Ethernet switch and an adaptive method thereof, and relates to the technical field of communication network equipment. The Ethernet switch comprises a detection module, a control module, an Ethernet switch module and a plurality of optical port modules, wherein the detection module is connected with the optical port modules, the Ethernet switch module and the control module; the Ethernet switch module is connected with the control module and the optical port modules. During adaptation, the speed of an SFP (Small Form-Factor Pluggable) optical module is firstly read by the detection module, then the speed is acquired by the control module from the detection module, and the acquired speed is used as adaptive initial speed to perform adaptive configuration; after the configuration is finished, the configuration at the time is kept in normal work if the connection detection is successful. The connection problem in the case of non-equivalent speed is effectively solved, and the connection efficiency is high, the quality is high and the user experience is good in the adaptation process.

The invention discloses a grabbing and lifting adaptation robot arm and belongs to the technical field of robot arms. The grabbing and lifting adaptation robot arm comprises a worm, a worm wheel, a roller, an end opening cover, fixed pulleys, a steel rope, springs I, a base, a base disc I, a fixing support, a base disc II, clamping rods, a lifting hook, springs II, springs III and a traction rope. The grabbing and lifting adaptation robot arm is used by a robot for grabbing objects, a self-adaptation grabbing function not limited to object shapes is achieved, the multiple grabbing rods are used for obtaining the self-adaptation effect on the object sizes and shapes, the worm wheel and the worm are driven to tightly pull the traction rope through the lifting hook, extrusion force obtained in the manner that the multiple clamping rods are gathered towards the center is achieved, a multidirectional grabbing effect on the objects is achieved, the lifting hook can also be directly used for lifting the objects, the structure is simple, energy consumption is low, grabbing or lifting is fast, reliability is good, the service life is long, and under the assistance of the unidirectional drive of the worm wheel and the worm, grabbing is stable and safety is high.

The invention provides a self-adaption web crawler method based on machine learning. Because at present, software developers need to inquire about complex page codes and research rules to compile net crawler programs, no self-adaption programs exist to automatically guide crawlers to work and meanwhile the field of electronic commerce is not touched, the technical aim of mining a large number of data through the machine learning technology so as to position information related to the content on an unknown webpage needs to be achieved. The aim is achieved through the machine learning and data mining method. The method includes the main technical steps of data obtaining, characteristic extraction, isomerous data normalization, training data establishment, self-adaption training, learning method verification and self-adaption mode generation, the method is used for conducting position characteristic extraction and self-adaption training on the page codes of crawled websites, and a certain effect is achieved for research on self-adaption network crawlers in the field of electronic commerce.

The invention relates to a VB volume strong-tracking information filtering based target tracking method. The method comprises the steps of calculating and updating parameters in a VB method; setting an initial value of a loop control variable in the VB method to be zero, and giving a value of iterations; using the VB method to estimate an unknown variance of measurement noise; estimating a one-step prediction target state; and iteratively calculating a pseudo-observation matrix, an innovation matrix, an information matrix and an information state vector. According to the method, a self-adaptation strong-tracking information filtering method of the VB method is used, so that the strong-tracking ability is provided, the unknown variance of the measurement noise can be estimated, and the self-adaptation function is implemented. Simultaneously, an attenuation coefficient can be estimated through an iterative method, and a jacobian matrix is not required to be calculated.

The invention discloses a distributed wide-area self-adaptive inter-phase backup protection system and method in the technical filed of power system relay protection. The system comprises a protection domain dividing subsystem and a self-adaptive backup protection subsystem. The protection domain dividing subsystem comprises a protection partition module and an information collection module which are sequentially connected. The self-adaptive backup protection subsystem comprises a fault phase selection module, a protection action factor generation module and a protection action criterion module which are sequentially connected. The method comprises the steps that the protection range of an IED is divided, voltage information and current information at the protection installation position on the corresponding position of the IED are collected, a fault phase is recognized according to the collected information, self-adaptive backup protection action factors are generated and whether backup protection acts or not is judged. The distributed wide-area self-adaptive inter-phase backup protection system and method realize the backup protection self-adaptive function, enables the self-adaptive backup protection range to be effectively prolonged, lowers the probability of remote backup protection false action and can meet the selectivity requirement of relay protection when used in cooperation with main distance protection.

The invention relates to a mechanical butt joint device, which comprises a bearing plate, a bottom frame, support legs and universal wheels, wherein the bearing plate is used for clamping a butt joint component, the bottom frame bears the bearing plate, the support legs support the bottom frame, the universal wheels are arranged at the bottom of the bottom frame, the bottom frame comprises two mutually parallel longitudinal beams, the middle parts of the longitudinal beams are provided with two mutually parallel transverse beams, and the transverse beams are vertical to the longitudinal beams. The mechanical butt joint device is characterized in that the end parts of the longitudinal beams are provided with the support legs, each support leg is a screw rod ascending and descending mechanism, and the mechanical butt joint device also comprises an adjustment device used for adjusting the butt joint angle of the bearing plate. The mechanical butt joint device has the advantages that the reliable braking of the butt joint device can be ensured, the free adjustment can be realized, and the reliable braking of the butt joint device can also be ensured.

The invention discloses an LED linear intelligent dimming module which is characterized by comprising a load circuit, a current expansion branch circuit and a trigger optical coupler, wherein the load circuit is connected between a positive electrode and a negative electrode of a power supply and sequentially comprises a main constant current source, a sampling resistor, a diode and a load which are forwardly connected in series, the current expansion branch circuit comprises an auxiliary constant current source, a driving tube and a biasing resistor, the auxiliary constant current source is forwardly connected in series with a CE electrode of the driving tube and then integrally connected in parallel with the load, the biasing resistor is connected between a positive electrode of the load and a B electrode of the driving tube, ends 1 and 2 of a luminous tube of the trigger optical coupler are forwardly connected in parallel with the sampling resistor, and ends 3 and 4 of a transistor of the trigger optical coupler are connected with the B electrode and an E electrode of the driving tube respectively. The LED linear intelligent dimming module realizes dimming and constant current adaption functions, the load can be connected with a traditional silicon controlled rectifier dimmer, the LED linear intelligent dimming module has a quite simple circuit, coil components such as an inductor and a transformer are omitted, and material cost is low.

The invention discloses a parking heater. The heater includes a control system, a fuel supply system and a heat exchange system, wherein the control system includes a motor for driving a new wind wheel in the heat exchange system to rotate, an atmospheric pressure sensor for detecting a current atmospheric pressure value, a cabin temperature sensor for detecting a current temperature value inside a cabin, and a controller assembly for adjusting the oil injection process of the fuel supply system and the speed of the motor according to the current atmospheric pressure value and the current cabin temperature. The atmospheric pressure sensor and the cabin temperature sensor can obtain the current atmospheric pressure value and the current cabin temperature value in real time, and the controller assembly can control the oil injection process and the motor speed according to the air inlet pressure and temperature, so that the parking heater is more environment-friendly and more adaptable to a high altitude environment.

The invention discloses a magnetic sucker assembly with automatic adjustment and adaptation functions, which can automatically adapt to the adsorption surface of workpieces, and includes a suction device, a driving device and a part removal device; the part removal device includes a rear part removal plate, a rear fixing plate and The front and rear plate connecting rods; the driving device is directly fixed on the unloading device, there is no relative movement between the two devices, and the two devices are directly fixed on the manipulator; the suction device is composed of multiple execution units and fixed plates; driven by the driving device The suction device picks up and unloads workpieces. The magnetic chuck assembly includes multiple independent suction cups. When encountering an irregular or uneven workpiece adsorption surface, the suction device will adapt itself according to the height of the workpiece adsorption surface, and can increase or decrease the suction cup and the adsorption surface (flat, convex surface) , Concave and other irregular surfaces) contact area, thereby increasing or reducing the adsorption force, and can adsorb workpieces with large and many hollows, raised edges or protruding points, ensuring a larger area of ​​adsorption and realizing the self-adaptive function.

The invention provides a measurement parameter processing method and system. The measurement parameter processing method comprises the steps that pre-defined measurement parameters are identified by calling a general parameter processing assembly, so that the parameter types of the measurement parameters are obtained; according to the parameter types of the measurement parameters, display controls corresponding to the measurement parameters are generated; according to the parameter type of the measurement parameters, effectiveness verification is conducted on the measurement parameters; parameter conversion is conducted on the pre-defined measurement parameters passing effectiveness verification; the display controls are loaded according to a preset order and the types by calling an automatic loading assembly, parameter information obtained after conversion of the parameters is displayed, and then processing of the measurement parameters is completed. By the adoption of the measurement parameter processing method and system, the coupling of software in a comprehensive measuring instrument is lowered, the stability of the software in the comprehensive measuring instrument is improved, and the measurement parameter self-adaptive function is achieved, the workload of workers for identifying the measurement parameters is lightened, the sense of approval of users for the comprehensive measuring instrument is improved, the operation processes of the measurement parameters are unified, and the use limitation is lowered for the users.

The invention relates to a method for controlling start and stop of equipment and equipment with a start and stop control function. A work state of the equipment is monitored. When the work state of the equipment is discovered not to meet the equipment work state preset in a system, and a forced stop condition preset in the system is not satisfied, an alarm signal is only issued and the equipment is not directly closed so as to achieve an effect of prompting a user to close the equipment. Determination of whether to continuously start the equipment is given to an operator, a condition that direct shutdown may affect other related devices is avoided, and simultaneously the equipment is connected to cloud. Operation data of the equipment is analyzed, self-learning and adaptive functions of the equipment are realized, and convenience is provided for the operator. By using the method for controlling start and stop of the equipment and the equipment with the start and stop control function, a work burden of an operator can be mitigated, and characteristics of flexibility, convenient operation, a high safety coefficient and the like are possessed.

The invention discloses a self-feedback control method and system for coordinated optimization of laminated material flatness and residual stress. The system comprises a flatness and residual stress coordinated optimization database and a process optimization control system. According to the system, additive and hammering process parameters are systematically arranged, the relationship between theprocess parameters and the flatness and the residual stress is researched and concluded, and meanwhile the corresponding relationship between the flatness and the residual stress is established. In the production process, the system performs real-time monitoring on the flatness according to the relationship between the flatness and the residual stress and based on a three-dimensional scanning technology; initial setting of additive parameters and real-time control of hammering parameters are achieved through the coordinated optimization system and the process control center, coordinated optimization of flatness and residual stress is achieved, and the parameter setting accuracy and the production efficiency are improved while the additive and hammering process production effect is guaranteed.

The invention relates to a Hall self-adaptive sensor. The Hall self-adaptive sensor is used for detecting speed and rotation speed, and is particularly applied to the fields of gear position detection, speed detection, camshaft detection and direction detection for an engine. The Hall self-adaptive sensor is characterized by comprising a voltage-reduction voltage-stabilizing structure, a Hall sensing head, an amplifier, a self-adaptive logic structure, a comparator, a hysteresis comparator and an output circuit, wherein the voltage-reduction voltage-stabilizing structure, the Hall sensing head, the amplifier, the comparator, the hysteresis comparator and the output circuit are sequentially connected; and the self-adaptive logic structure is connected with the comparator. The Hall self-adaptive sensor has the advantages of reasonable structural design, high reliability, capability of self-adapting and convenience in detection of zero speed.

A self-learning web management system comprises a user behavior local storage module for storing user's operation records, a user's behavior analysis module for analyzing user's operation habits to obtain an analysis result and a system self-learning showing adjusting module for adjusting the display of a web system according to the analysis result. The invention further comprises a self-learningweb management method. Data analysis is achieved completely on the basis of data with the local storage function at a browser side, no server side support is needed, extra expenses of the server are not added, the self-adaptation function of the system can be achieved, self-learning can be achieved, and user experience is improved.

The invention provides a self-adaptive neuron circuit based on a memristor. The self-adaptive neuron circuit comprises an excitation pulse, a non-volatile memristor and a capacitor; a volatile memristor, the capacitor and the resistor form a discharge loop; voltage signals at the two ends of the resistor serve as output pulses of the neuron circuit. The working process is as follows: after the nonvolatile memristor receives an excitation pulse, the capacitor is charged through the charging loop, the voltage of the capacitor is gradually increased, when the voltage at the two ends of the volatile memristor is smaller than a threshold voltage, the output pulse is 0, and when the voltage at the two ends of the volatile memristor is larger than or equal to the threshold voltage, the capacitor is discharged through the discharging loop. Voltages at two ends of the resistor serve as output pulses to generate action potentials. Under the action of the excitation pulse, the resistance value of the nonvolatile memristor is gradually increased, so that the frequency of the generated action potential is gradually reduced, and the characteristic that neurons gradually adapt to constant external stimulation is simulated. According to the invention, the adaptive function of neurons is simulated.