222 results about "Adjustment Action" patented technology

A tool operates with a guide system to identify the orientation of a tool on a work piece. In one implementation, the tool identifies its orientation with respect to a guide signal supplied by the guide system. In an alternate embodiment, the tool determines its absolute orientation, such as a (x, y) coordinate. The tool includes an action component adapted to alter the work piece, such as a cutting head in a router. A guide detector in the tool detects a position of a guide signal from the guide system. A location detector in the tool receives the position data and employs it to determine the tool's orientation. Based on the detected orientation, the tool decides whether any tool adjustments are necessary. Examples of tool adjustments include the following: adjusting the position of the action component, enabling or disabling the action component, and providing operating indicators to direct a tool operator's use of the tool.

The invention relates to an automatic field-weakening method for a built-in permanent magnet synchronous motor, which solves the problem that field-weakening speed is difficult to widen due to the fixed rotor excitation and small reactance of armature reaction of a direct axis in the conventional permanent magnet synchronous motor in the market. In a rotor magnetic structure of the permanent magnet synchronous motor, a magnetic flux short-circuit block is arranged in a magnetic flux isolating layer in a quadrature axis direction with the help of an automatic adjustment action of a spring; when the rotary speed of the rotor is low, the short-circuit block is positioned at a low-speed position so that interelectrode magnet leakage through the isolating layer is small; when the rotary speed of the rotor is increased, the short-circuit block gradually deviates from the low-speed position to move towards the edge of the rotor under the action of rotating centrifugal force, which expands the interelectrode magnet leakage path; and the leakage magnet flux passing through the isolating layer is increased and the main magnet flux is reduced so that the aim of automatic filed-weakening widening speed is fulfilled in the motor body and a larger speed-adjusting range is reached. The method can be applied to the permanent magnet motors which have uncertain pole numbers and tangential or radial magnet structures.

A system and method are provided for managing patient care based on data received from a remote monitoring system. The system includes a data monitor for automatically evaluating the data received from the remote monitoring system and a scheduling module for receiving a data evaluation from the data monitor. The scheduling module includes tools for adjusting a patient schedule. Schedule adjustment actions can be automatically triggered by the received data evaluation. Typically, the data monitor will compare the received data with patient medical records to evaluate the received data received from the remote monitoring system to determine if the received data meets pre-set expectations. If the received data does not meet pre-set expectations, a scheduling action will be triggered. The system will automatically notify the patient of scheduling actions.

The invention provides a power system reactive power optimization method based on depth determination strategy gradient reinforcement learning. A deterministic depth gradient strategy algorithm is applied to the traditional power system reactive power optimization problem. The voltage state of the power system is sensed through a depth neural network, a corresponding action decision is then made by using a reinforcement learning method, a correct generator terminal voltage adjustment action, a node capacitor bank switching action and a transformer tapping point adjustment action are made to adjust reactive power distribution in the power system, the active power network loss of the power system is minimized. As the neural network is divided into an online network and a target network, association between parameter updating and adjacent training in each training process of the neural network is avoided, and the problem that reactive power optimization of the power system is caught in local optimization is avoided. On the premise of conforming to the security constraint of the power system, the economical efficiency of the operation of the power system is improved by reducing the network loss of the power system.

A video device with a voice-assisted system is provided by using a voice command to adjust the images. The voice-assisted system includes a voice recognition engine and a control unit. The voice recognition engine receives a voice command and outputting a voice signal based on the voice command to the control unit. The control unit based on the voice signal performs the adjustment actions to adjust image. The user only requires inputting a single voice command. The voice recognition engine then can perform a series of actions to adjust image. Therefore, the voice-assisted system can enhance the convenience of adjusting the image of the video device and reduce the operation complexity for the user.

The invention discloses a self-adapting resonance control method for transmitting non-contact electric energy, which is characterized by obtaining a phase difference by detecting and calculating the voltage and current outputted by a non-contact electric energy transmitting system contravariant mechanism, and adjusting the driving frequency of the inverter by outputting the electric energy to a PI adjustor and an oscillating element. After a transient state process, the phase difference of the voltage and current outputted by the inverter is zero, thus achieving self-adapting resonance control of circuits. The method guarantees separability between the receiving mechanism and the transmitting mechanism of the system only by detecting the voltage and current outputted by the contravariant mechanism, with the self-adapting resonance control function completely achieved by hardware circuits, while complicated control algorithm is not required. The method not only has self-adapting control capability on load change, but also has adjustment actions to the parameter variations of all the components after the output of the contravariant mechanism; besides, the method has the advantages of guaranteeing the system always works under a resonance condition, ensuring the output power and transmission efficiency reach the maximum value, and promoting the practicability process of the transmission technology of the non-contact electric energy.

A method for tuning a database system is disclosed. A tuning strategy is received comprising a first procedure to determine a suggested tuning action, and a second procedure to measure performance of the database system. The suggested tuning action is determined and pre-action performance measured according to the respective procedures. Undo information that indicates how to undo the database system state change of the suggested tuning action is recorded in a database system state history. After executing the suggested tuning action, post-action database system performance is measured according to the second procedure. When the post-action performance is lower than the pre-action performance, the database system state change is undone using the undo information. Embodiments enabling to create new tuning strategies, downloading existing tuning strategies, sharing own tuning strategies and changing existing tuning strategies are disclosed as well.

The invention discloses a method and system for real-time automatic distribution of gate opening of a cascade hydropower station. The system includes a collection terminal, database server, application server, process library, policy library, information publishing cat, and remote control system, a collection element, transmission element, simulation element, and constraint element are arranged onthe application server and are connected with the database server, process library and information publishing cat. The invention can adjust the gate in advance, at the same time, the opening degree of each gate of the preset dispatching strategy is given by using the subsection step-size mutation algorithm, In addition to real-time monitoring of reservoir water level, effectively shorten the timeof making gate opening, A good balance has been struck between flood control and flood resource utilization, In order to reduce the working intensity of the operators and accurately control the waterlevel of the reservoir, the calculation process is simple and quick, and the follow-up effect of cascade flood control storage capacity under different flood discharge is taken into account, so as tomeet the needs of the actual operation of the power station for the calculation result accuracy, safety, real-time performance and economy.

The invention provides a double-throat self-starting ultrasonic cyclone separator and a separation method thereof. The double-throat self-starting ultrasonic cyclone separator comprises a cyclone, a Laval spray pipe and a diffusion separator. The diffusion separator is characterized by comprising a separation cone A, a separator shell, a porous wall, a separation cone B and a separation cone C; the wall surface of the porous wall is provided with a plurality of exhaust holes; and an overflow cavity is formed between the outer wall of the porous wall and the inner wall of the separation cone B. According to the separator disclosed by the invention, a porous wall structure is adopted for a contraction section and an expansion section of a diffuser; a pneumatic adjustment action to the circulation area of the throat of the diffuser is played; when upstream pressure fluctuates, self adjustment can be realized; supersonic airflow from the Laval spray pipe is compressed and decelerated in the contraction section of the diffuser, passes through the throat of the diffuser at the speed slightly more than a sound velocity and forms normal shock wave in the expansion section of the diffuser in a condition far below the mach number of the Laval spray pipe; and therefore, the shock loss is low.

The temperature of an operator circuit is measured. A relationship between the temperature of the operator circuit and characteristics of the operator circuit is determined. The relationship is applied to the measured temperature of the operator circuit to create an adjustment action. The detection threshold is adjusted by the adjustment action.

The invention relates to an asymmetrical structure air posture adjusting method, which specifically comprises the step of (1) designing a set of applicable pulley set hoist cable system auxiliary posture adjusting mechanisms; (2) allocating lifting equipment; and (3) performing overturn work. By adopting a set of pulley set auxiliary adjusting mechanism. The method achieves the target requirement for accurately adjusting and positioning the asymmetrical structure, and can strictly guarantee the conversion stability between force system and force point when adjusting the posture of the asymmetrical structure, furthermore, the force to the system does not abruptly changed, and the adjustment action is safe and reliable.

The invention discloses a wireless network distributed autonomous resource allocation method based on stateless Q learning. First, the number of channels and the transmitted power are taken as a set of actions, and a set of actions is randomly selected to calculate the actual network throughput; then the ratio of the actual network throughput and the theoretical throughput is taken as a reward after the action selection, and an action value function is updated according to the reward; and finally, the iterative adjustment of the actions can find the maximum solution of a cumulative reward value function, and the corresponding action thereof can reach the optimum performance of the wireless network. The method provided by the invention allows each node to autonomously perform channel allocation and transmitted power control to maximize the network throughput under the condition that prior information such as resource configuration of other nodes in the network is unknown.

The invention discloses a yawing moment control method of an individual driven electromobile based on a multi-agent. The yawing moment control method includes enabling a yawing moment electric control unit to ba a regulating controller of every motor of the individual driven electromobile to obtain a turning intention and a driving state of a driver in real time through a state observation and measurement module; obtaining torque adjusting motion sequence which is needed by four-wheel of the individual electromobile through a reinforced learning Q-algorithm which is based on a multi-agent; sending the motion sequence to every driven motor controller of the individual driven electromobile through the muli-agent, sending instructions to every driven motor to carry out received motion sequence, generating needed yawing moment and rectifying the posture of the electromobile. The yawing moment control method of the individual driven electromobile based on the multi-agent has the advantages of avoiding energy consumption during actuating process by utilizing driving force control, disposing non-linear elements existing in the system and guaranteeing the stability of turning.

The invention discloses a glue spraying device and a determination method of a border track. The glue spraying device is characterized in that a camera mounting rack, a glue spraying mechanism mounting rack and feeding modules are arranged on a workbench of the device; camera modules are arranged on the camera mounting rack, and are used for shooting a to-be-glued product on the feeding modules to acquire the image information; a controller is used for acquiring the image information, determining the border track and a datum point of the to-be-glued product, generating a dispensing track according to the border track, generating a control signal according to the dispensing track and the datum point, outputting the control signal to a motion performing mechanism, and outputting a glue spraying signal to a glue spraying mechanism when a nozzle of the glue spraying mechanism reaches a set position on a border; the motion performing mechanism is used for driving the glue spraying mechanism and the feeding modules to perform corresponding position adjustment action of the control signal; and the glue spraying mechanism is arranged on the glue spraying mechanism mounting rack, and is used for opening a glue spraying valve according to the glue spraying signal and performing the glue spraying operation. According to the glue spraying device, the problem that the precision cannot meet the requirement when a conventional glue spraying device sprays glue to a narrow border is solved.

The invention relates to a method and a system for adjusting the saturation of an image which comprises a plurality of pixels. The method comprises the following steps: providing an external adjustment coefficient, directly calculating the approximate value of the saturation of each pixel according to three primary color (RGB) component of each pixel, obtaining the adjustment quantity of the saturation of each pixel and adjusting each pixel of the image according to the adjustment quantity of the saturation and the RGB component of each pixel, wherein the adjustment quantity of the saturation of each pixel corresponds to the external adjustment coefficient and the approximate value of the saturation of each pixel. Therefore, different saturation adjustment actions onto the image can be performed according to the color of each pixel of the image, and the image which has better color and can not distort can be generated accordingly.

Provided are a controller and a machine learning device that perform machine learning to optimize the servo gain of a machine inside a facility in accordance with action conditions, action environments, and a priority factor of the machine. Disclosed is a control system including: a state observation section that observes machine information on a machine as state data; a determination data acquisition section that acquires information on machining by a machine as determination data; a reward calculation section that calculates a reward based on the determination data and reward conditions; a learning section that performs the machine learning of the adjustment of the servo gain of the machine; a decision making section that determines an action of adjustment of the servo gain of the machine, based on the state data and a machine learning result of the adjustment of the servo gain of the machine; and a gain changing section that changes the servo gain of the machine, based on the action of adjustment of the determined servo gain.

A method for tuning a database system is disclosed. A tuning strategy is received comprising a first procedure to determine a suggested tuning action, and a second procedure to measure performance of the database system. The suggested tuning action is determined and pre-action performance measured according to the respective procedures. Undo information that indicates how to undo the database system state change of the suggested tuning action is recorded in a database system state history. After executing the suggested tuning action, post-action database system performance is measured according to the second procedure. When the post-action performance is lower than the pre-action performance, the database system state change is undone using the undo information. Embodiments enabling to create new tuning strategies, downloading existing tuning strategies, sharing own tuning strategies and changing existing tuning strategies are disclosed as well.

The invention discloses an air conditioning system and a method for detecting a liquid level of an air-liquid separator of the air conditioning system. The air conditioning system comprises a compressor, a four-way valve, an outdoor heat exchanger, a throttling device, an indoor heat exchanger, the air-liquid separator and a detecting pipeline. The detecting pipeline is connected among the compressor, the air-liquid separator and the four-way valve and is used for detecting the liquid level of the air-liquid separator. The air conditioning system and the method have the advantages that the internal liquid level of the air-liquid separator is detected and judged, corresponding control is executed by outer machines when the liquid level of the air-liquid separator is higher than a warning liquid level, the internal liquid level of the air-liquid separator is adjusted under output actions of the outer machines and adjustment actions of valves and is within a safety range, problems that return air of a compressor carries liquid, the compressor runs under an excessively wet condition and liquid impact occurs due to an excessively high internal liquid level of an air-liquid separator are solved, safe and reliable running of an outer machine system is guaranteed, and drifting among the outer machines in the multi-machine system can be effectively prevented.

The invention provides a middleware distributed calculating method. The method comprises the following steps of determining servers located at an idle state and an overload state, performing resource adjustment action by a resource recovery manager and a resource supply manager according to the global resource and load distribution situation; and re-distributing loads by load distribution severs provided by each cluster. The middleware distributed calculating method is used for multi-tenant resource sharing under a cluster distributed environment, the resource waste and overload of servers are prevented, and the utilization rate is improved.

A system and method are provided for managing patient care based on data received from a remote monitoring system. The system includes a data monitor for automatically evaluating the data received from the remote monitoring system and a scheduling module for receiving a data evaluation from the data monitor. The scheduling module includes tools for adjusting a patient schedule. Schedule adjustment actions can be automatically triggered by the received data evaluation. Typically, the data monitor will compare the received data with patient medical records to evaluate the received data received from the remote monitoring system to determine if the received data meets pre-set expectations. If the received data does not meet pre-set expectations, a scheduling action will be triggered. The system will automatically notify the patient of scheduling actions.

The invention discloses a holder rotation control method and device, and an unmanned aerial vehicle. The method comprises steps that image information captured by an image capturing device mounted ona holder is acquired, and the image information is identified to acquire the target detection information; the position of a target object on the desired layout picture is determined based on the target detection information, and the adjustment action information of the holder is determined according to the position of the target object at the desired layout picture, the present angle of view of the image capturing device and the image information; the holder is adjusted to rotate according to the adjustment action information. The method is advantaged in that the acquired images are analyzedin the air, the holder can be automatically driven to take action according to preset requirements to achieve following shooting of the target object, establishing remote communication is not necessary, and accuracy of following shooting is higher.

The invention provides a human body action identification method for motion information imaging. The method comprises the steps of S1, utilizing a human body action capturing instrument to acquire human body motion study sample matrixes; S2, converting all the study sample matrixes into a gray scale image with the size of 3P*T; S3, placing the gray scale image obtained in the step 2 into a PCA image recognizer for studying; S4, utilizing the human body action capturing instrument to acquire the to-be-identified human body motion sample matrix; S5, converting the to-be-identified matrix into a gray scale image with the size of 3P*T; S6, placing the gray scale image obtained in the step 5 into the PCA image recognizer well studied in the step 3 for identification; and S7, taking the identification result of the to-be-identified human body motion sample in the step 4 as the identification result generated in the step 6. The human body action identification method for motion information imaging is capable of improving the accuracy and robustness of the whole-body human body motion identification, and adjusting the robustness on action identification in a certain range according to different real-time fields.

The invention discloses a thermal generator set main steam pressure optimization control method which comprises the following steps: calculating a main steam pressure deviation signal and a load deviation signal of a target thermal generator set; respectively judging the demands of load deviation and main steam pressure deviation for fuel increase / decrease, and adjusting control parameters of a PID (proportional-integral-derivative) controller; if the two demands are identical, adjusting the control parameters of the PID controller to enhance the adjustment action of the PID controller on the amount of fuel entering the boiler; if the two demands are different, adjusting the control parameters of the PID controller to reduce the adjustment action of the PID controller on the amount of fuel entering the boiler; and adjusting the amount of fuel entering the boiler by using the PID controller according to the output amount obtained by PID calculation on the basis of the main steam pressure deviation signal. The method can enable the thermal generator set to quickly respond to the network load demand when the network load demand changes, can also prevent the main steam pressure deviation from overranging and keep the boiler combustion stable, and enhances the load response property and operation stability of the thermal generator set.

The invention relates to a home automation system and a method for controlling the same. In order to stably control a continuing concerted adjustment action of a continuously variable parameter by means of few and low-sized commands in order to avoid overloading of a low-data rate network while providing means for fast and unobtrusive correction of failures due to missed commands, it is provided a method for controlling a wireless home automation system, the home automation system being arranged as a network comprising at least one controller and a plurality of devices, wherein the method comprises the steps of sending a start command from the controller to a group of devices comprising an action type and a transaction ID and sending a stop command from the controller to the devices comprising the transaction ID and a controller counter.

A video device with a voice-assisted system is provided by using a voice command to adjust the images. The voice-assisted system includes a voice recognition engine and a control unit. The voice recognition engine receives a voice command and outputting a voice signal based on the voice command to the control unit. The control unit based on the voice signal performs the adjustment actions to adjust image. The user only requires inputting a single voice command. The voice recognition engine then can perform a series of actions to adjust image. Therefore, the voice-assisted system can enhance the convenience of adjusting the image of the video device and reduce the operation complexity for the user.

The invention discloses an outdoor gardening type blowing-suction machine. The blowing-suction machine comprises a mainframe shell provided with a main handle and a blowing-suction device connected to the mainframe shell, wherein, a motor and a fan which is driven to rotate by the motor and generates the airflow are arranged in the mainframe shell, the mainframe shell is also provided with an adaptation part. The invention is characterized in that: the blowing-suction device comprises a supporting part flexibly connected with the adaptation part and a blowing-suction pipe fixedly connected with the supporting part, the supporting part is further provided with a dust outlet; the blowing-suction machine can simply be switched between the blowing mode and the suction mode by a simple adjustment action, and the blowing or dust absorbing effect under different working modes is apparently improved.

The invention discloses a carrying robot. The carrying robot comprises a vehicle body, a tray and a lifting and rotating unit, wherein the lifting and rotating unit can drive the tray to ascend, descend and rotate relative to the vehicle body; the lifting and rotating unit comprises a lifting sleeve, a driving device, an inner sleeve rotationally matched with the vehicle body, and a braking unit; the lifting sleeve is circumferentially fixed relative to the inner sleeve and is in axial sliding fit with the inner sleeve, the driving device comprises a driving part, a lifting sleeve driving assembly driven by the driving part, and an inner sleeve driving assembly; the braking unit can be switched between a working state and a follow-up free state, and in the working state, the inner sleeve can be fixed relative to the vehicle body. The lifting and rotating unit of the carrying robot can drive the tray to freely rotate relative to the vehicle body in one direction, and can rotate at any angle; the carrying robot can act without limit when executing tasks, the carrying robot does not need to independently adjust actions, and the carrying efficiency is improved; the lifting and rotating unit of the carrying robot is reliable and stable in structure and capable of bearing large loads.

The invention discloses a method for online monitoring and analyzing adjustment performance of an excitation system based on a phasor measurement technology. The method comprises the following steps of: (1) online monitoring change conditions of key electric parameters, such as terminal voltage / current, excitation voltage and the like by utilizing real-time PMU (Power Management Unit) data of a machine set collected by a phasor measurement unit and the excitation system thereof, and detecting disturbance generation of the machine set and adjustment action response of the excitation system in real time; and (2) analyzing dynamic behaviour characteristics of the excitation system of a computing machine set in a disturbance process in real time, wherein the dynamic behaviour characteristics include parameters, such as disturbance occurrence time, a maximum value of excitation voltage / current and occurrence time thereof, terminal voltage steady time, voltage static adjustment rate before / after disturbance, excitation voltage multiple, voltage response time of the excitation system, voltage transient adjustment rate and the like. The method disclosed by the invention can be operated online and can be used for testing conveniently without special requirement limitation. The method can be applied to carrying out online detection, analysis and evaluation reference of the dynamic adjustment performance of the operated excitation system.

The invention discloses a wheel-leg composite spherical surface parallel mechanism, and belongs to the field of robots. The wheel-leg composite spherical surface parallel mechanism comprises a fixed platform and a movable platform. Two RUHU motion branch chains, an RUPR motion branch chain (passive constraint branch chain) and an RUR middle motion transmission branch chain are arranged between the fixed platform and the movable platform. The novel wheel-leg composite spherical surface parallel mechanism with two spherical surface freedom degrees is jointly formed by the two RUHU motion branch chains and the RUR middle motion transmission branch chain. The novel spherical surface parallel mechanism is used for changing the wheel space motion posture, and therefore the posture adjustment action of turning and obstacle crossing during running of an underwater robot is achieved. The wheel-leg composite spherical surface parallel mechanism has the beneficial effects of being simple in structure, convenient to mount and control, good in turning and obstacle crossing performance and the like.