11518 results about "Power equipment" patented technology

Machines with safety systems are disclosed. The machine may take the form of woodworking machines including table saws, band saws, miter saws, hand-held circular saws, pneumatic chop saws, radial-arm saws, jointers, planars, routers and shapers. The machines may include an operative structure configured to perform a task, where the operative structure includes a cutting tool adapted to move in at least one motion, and a safety system adapted to detect the occurrence of an unsafe condition between a person and the cutting tool and for mitigating the unsafe condition. The safety system may include a detection subsystem and a reaction subsystem.

A system and method for smart registration of wireless power receivers within a wireless power network is disclosed. Each wireless power device may include a universally unique identifier (UUID). Each wireless power device bought by a customer may be registered, at the time of purchase or later. The registry may be stored in an energy domain service, where energy domain service may be one or more cloud-based servers. The method for smart registration may include the steps of detecting a customer device; establishing a connection with a wireless power receiver to read its UUID; sending wireless power transmitter manager's UUID and wireless power receiver's UUID to energy domain service; inspecting wireless power transmitter manager registry; verifying wireless power receiver registry; authorizing power transfer to wireless power receiver; and reporting energy consumption for subsequent billing of customer depending on billing policy of wireless power transmitter manager specified within registry.

A system for powering equipment used in a hydraulic fracturing operation, the system including at least one first generator in electrical communication with a first switchgear for providing power to primary components of a hydraulic fracturing operation, and at least one second generator in electrical communication with a second switchgear for providing power to backup components of a hydraulic fracturing operation. The at least one first generator is independent of the at least one second generator so that if the at least one first generator loses the ability to generate electricity, the at least one second generator can continue to generate electricity.

The present invention provides a system and method for providing remote monitoring of a power device. In architecture, the system includes a service device that includes a transceiver circuitry to receive information of a power condition from the power device, and a computation circuitry to compute an electrical value for the power device. In addition, the service device includes a display circuitry that displays the computed electrical value in conjunction with operational parameters of the power device. The present invention can also be viewed as a method for providing remote monitoring of a power device. The method operates by detecting a power condition of the power device, and computing an electrical value for the power device. The electrical value computed in conjunction with the operational parameters is then displayed.

Safety systems for power equipment are disclosed. The safety systems include a detection system adapted to detect contact between a person and a working portion of a machine, where the detection system is adapted to capacitively impart an electric charge on the working portion and to detect when that charge drops; and a reaction system associated with the detection system to cause a predetermined action to take place relative to the working portion upon detection of contact between the person and the working portion by the detection system. Machines equipped with safety systems are also disclosed, such as saws, jointers, etc. The machines include a working portion, such as a cutter or blade, a detection system adapted to detect a dangerous condition between a person and the working portion, and a reaction system associated with the detection system to cause a predetermined action to take place upon detection of the dangerous condition, such as a brake system to stop the working portion, a retraction system to retract the working portion, or a system to cover the working portion. The machines may include a control system adapted to control the operability of one or more of the working portion, the detection system and the reaction system.

A saw with a safety system is disclosed. The safety system includes a detection system adapted to detect contact between a person and a blade while the blade is moving. The safety system further includes a brake system adapted to engage the blade and to stop the blade when the detection system detects contact between the person and the blade.

The invention discloses an intelligent inspection robot system for transformer substation equipment. The intelligent inspection robot system for the transformer substation equipment comprises a control center, a wireless communication network and an inspection robot, wherein the control center realizes remote control and data transmission with the inspection robot through the wireless communication network; the control center comprises an upper control host, an inspection monitoring data processing module and a robot remote control transmission module; and the inspection robot comprises a robot control unit, a robot body mechanism, a robot obstacle detection and navigation device, a robot remote control receiving module and a field signal acquisition and transmission device. The intelligent inspection robot system for the transformer substation equipment inspects power equipment in a transformer station through the inspection robot, transmits related data acquired in real time to the control center through the wireless communication network and displays the related data on related equipment, so that workers can remotely monitor the on-site working condition and the operation condition of the equipment conveniently, remote areas and unattended stations can be monitored remotely, and time and labor are saved.

Woodworking machines including conductive cutters adapted to cut workpieces, and motors adapted to drive the cutters are disclosed. The machines also include a contact detection system adapted to detect contact between a person and the cutter, and to distinguish contact between the person and the cutter from contact between the workpiece and the cutter. The machines further include a reaction system adapted to cause a predetermined action to take place upon detection of contact between the person and the cutter by the contact detection system.

A method of monitoring and controlling a power distribution system is provided. The power distribution system includes a plurality of circuit breakers, a plurality of node electronic units, and wherein each associated circuit breaker is electrically coupled with each respective node electronic unit. The system also includes at least one digital network, and at least one central control processing unit (CCPU) wherein each CCPU includes a first power system global information set, and each CCPU is communicatively coupled to the plurality of node electronic units. The method includes transmitting at least one digital message from each node electronic unit to each CCPU over a respective network, determining an operational state of the power distribution system from the digital message, and transmitting at least one multicast message from each CCPU to each node electronic unit such that the circuit breakers are operable from each CCPU.

A novel system and method for simplifying the management of electronic equipment such as computers, networks, and equipment and communications systems. The system tracks equipment that has been registered in an inventory database without any user involvement. Once registered and connected into the system's power source device, the equipment's location will be easily tracked without human intervention. This information may be used to locate systems in need of up grade, repair or relocation, and further can verify that the correct equipment was moved and that it was moved to the correct location.

A power supply interface device of power supply equipment with the left and right limiting function comprises a socket device (9) and a plug device (8). The plug device (8) is inserted into a cavity of the socket device (9), and the tail end of the plug device (8) is provided with a joint recess (82) which is joint with a joint projection (92) in the cavity to realize electrical connection. The socket device (9) is provided with an end wall (91), a transverse sidewall (99) and a seat (98) opposite to the end wall (91) to form the cavity; the plug device (8) is provided with a positioning projection (81) which is joint with the outer side of the end wall (91), the cavity is internally provided with a guiding sleeve (7) which is fixedly connected with the inner side of the end wall (91) and the seat (98), and the guiding sleeve (7) is provided with two guiding slits which extend in the transverse direction and opposite to each other in the diameter direction.

A woodworking machine having one or more dangerous portions of the machine is disclosed. The machine also includes a safety system configured to detect accidental contact between a person and at least one of the dangerous portions by electrically coupling a signal to the person's body, and detecting if the signal becomes coupled to the dangerous portion.

The invention discloses a power equipment infrared image fault positioning, identification and prediction method. The power equipment infrared image fault positioning, identification and prediction method comprises the following steps: 1) collecting power equipment infrared thermal image data; 2) classifying the infrared images to form a data set; 3) constructing a convolutional neural network model; 4) separating out faulty power equipment; 5) monitoring faulty power equipment in real time, and longitudinally collecting temperature data; 6) positioning a fault part, segmenting the infrared image of the power equipment, and extracting a fault area; 7) diagnosing a fault area, and judging a fault level; 8) predicting an equipment state trend; 9) uniformly outputting and displaying the information; 10) storing the fault level; 11) making four types of infrared image data sets; 12) building a target detection model and training; 13) directly detecting an infrared image of power equipmentto be detected through a target to obtain a fault position and a fault level; 14) repeating the step (5); 15) repeating the step (8); and 16) repeating the step (9) facilitating positioning of the fault position, fault level judgment and prediction of the fault equipment and giving a maintenance suggestion.

The invention provides an electrical equipment state maintenance system. The electrical equipment state maintenance system comprises an operation and maintenance base layer platform, a state monitoring module, a state evaluation module, a risk assessment module, a fault diagnosis module and a maintenance strategy module, wherein production area I data of a power grid system and production area III data of the power grid system are integrated on the operation and maintenance base layer platform, the state monitoring module is used for collecting on-line monitoring data of electrical equipment and operating environment information of the electrical equipment through the operation and maintenance base layer platform, the state evaluation module is used for evaluating the on-line monitoring data according to state evaluation standards of the electrical equipment to acquire an electrical equipment health state represented by the on-line monitoring data, the risk assessment module is used for calculating the risk index of the electrical equipment according to risk assessment standards of the electrical equipment, the fault diagnosis module is used for diagnosing faults of the electrical equipment and generating a fault diagnosis report according to the health state and the risk index of the electrical equipment, and the maintenance strategy module is used for generating maintenance strategy information of the electrical equipment according to the health state, the risk index and the fault diagnosis report of the electrical equipment. By means of the electrical equipment state maintenance system, evaluation, assessment and predication are automatically carried out on the power grid system, and therefore the automation level and the intelligentization level of the power grid system are improved.

The invention discloses a positioning device and a positioning method for fault detection of local discharge, and the positioning device comprises two sensors, a local discharge detection positionfinder and a computer, wherein, the two sensors consist of an electromagnetic sensor and a resonant ultrasonic sensor; the local discharge detection positionfinder is internally provided with double-signal paths in parallel; the positioning device also comprises a data acquisition card and a liquid crystal display (LCD) which are connected with the output ends of the double-signal paths; one path of the double-signal paths is an electromagnetic path connected with a peripheral electromagnetic sensor, while the other path thereof is an ultrasonic channel connected with a peripheral resonant ultrasonic sensor; one path is displayed by the LCD connected with the acquisition card, and the other path is sent to a peripheral computer through data wires after signal received by the electromagnetic path and the ultrasonic path is processed by the acquisition card. The test method is simple and flexible, has easy operation and strong anti-interference performance, overcomes the defect of single detection method for local discharge in the prior art, and can realize accurate detection and position on local discharge fault points in power equipment.

An evaluation and support system of electric power device state comprises system management module for managing test process, authority, organization and personnel; data management module for classifying and managing device data such as device type, device parts, device parameter, weight ant test parameter; state evaluation management module for obtaining healthy state result of electric power device by calculating and analyzing means.

A power equipment apparatus includes an internal combustion engine and a generator operatively coupled to the engine, wherein the generator is configured to generate electrical power. A driven element such as a wheel is configured to be driven by an actuator, wherein the actuator is configured to receive electrical power from the generator.

The invention discloses a comprehensive monitoring and early warning system based on meteorology and a power grid GIS and a method thereof. The system comprises a data layer and an application layer. The data layer consists of a meteorological database, a power grid GIS database, and a production and operation database. The application layer includes a meteorological monitoring module, a meteorological early warning module, a power grid weather module, an information display module, and an auxiliary decision-making module. The meteorological database, the power grid GIS database, and the production and operation database carry out communication mutually; and the meteorological monitoring module, the meteorological early warning module, the power grid weather module, the information display module, and the auxiliary decision-making module carry out communication with the meteorological database, the power grid GIS database, and the production and operation database respectively. According to the invention, meteorological monitoring information like the temperature, wind direction, and wind speed and the like of important power equipment like a transformer substation, a transmission and transformation line, and a tower can be gotten in real time; and visual meteorological real-time data can be provided for the power grid. Meanwhile, prediction and disaster early warning information of the typhoon and thunder and the like can be provided every 12 hours in the next seven days.

The invention relates to a transformer substation electrical equipment monitoring, analyzing and processing system and particularly relates to a transformer substation electrical equipment comprehensive physical examination system based on cloud side end collaborative perception. The system is characterized in that multi-node detection and unified perception access are realized through an integrated communication network architecture on the edge side of a station end, an intelligent sensing terminal is comprehensively covered in real time. Meanwhile, local intelligent data processing is realized by utilizing an edge computing technology; an omnibearing intelligent diagnosis and analysis system of the transformer substation is constructed at a cloud end, and multiple functions such as abnormal real-time early warning and intelligent sensing prediction are realized, so that the real-time tracking of the operation state of the power equipment of the transformer substation is realized. Themethod has the advantages that the transformer substation can be covered, monitoring data can be comprehensively utilized, an intelligent processing scheme can be provided, construction of the intelligent transformer substation is promoted, and the intelligent evaluation and safety early warning level of the electrical equipment state of the transformer substation is improved.

A method includes steps: 1) obtaining monitoring information of different monitoring points in normal state of power equipment; 2) setting faults and obtaining monitoring information of different fault types, positions, monitoring points of the equipment; 3) taking the monitoring information obtained in steps 1) to 2) as training dataset, taking the fault types and positions as labels, inputting the training dataset and the labels to deep CNN for training; 4) collecting monitoring data, performing verification and classification using step 3), obtaining probability values corresponding to each of the labels; 5) taking classification results of different labels as basic probability assignment values, with respect to a monitoring system composed of multiple sensors, taking different sensors as different evidences for decision fusion, performing fusion processing using the DS evidence theory to obtain fault diagnosis result. The invention can intelligently realize fault detection, fault type determination, and fault positioning of the power equipment.

A rack element for mounting electronic equipment thereon, including: a front portion, a rear portion, and a pair of side portions defining an interior of the rack element therebetween. The interior of the rack element is partitioned into a front section and rear section, wherein the front section defines an air duct and the rear section defines a power distribution section. The air duct has an opening at one end thereof for receiving cooling air from an air conditioning system, and the front portion of the rack element includes a plurality of openings therein for enabling the cooling air from the duct to exit therethrough for cooling equipment mounted therein. The power distribution section includes an opening at one end thereof for enabling power cables to enter the power distribution section for powering equipment when mounted on the rack element.

Hybrid power equipment comprising a user-selectable power selection switch for switching between DC or AC power, a boost and conserve feature for increasing speed of the working elements as necessary, and a motor or a plurality of motors for moving working elements. Running the OPE at the conserve setting prolongs battery pack duration per charge. The motor may comprise a dual coil commutator configuration. Power supply and control systems allow the user to select operation of the plurality motors or dual coil commutators in either series or parallel configuration depending on the power source.

The invention discloses a power equipment current-carrying fault trend prediction method based ona least squares support vector machine. The method provided by the invention comprises the steps of employing historical temperature data to train an LS-SVM regression model, and employing a PSO optimization algorithm to adjust two parameters of the model, namely nucleus width sigma and punishment parameter gamma; employing a PCA algorithm and a K-means clustering algorithm to real-time analyze the temperature of equipment contacts to find contacts with abnormal temperature rising, and using the temperature value asan initial value sequence of prediction;and finally employing the regression model obtained by training to predict the temperature value of the initial value for a long term and for a short term, and analyzing the highest point the contact temperature may reach and the time when the contact temperature reaches the highest point. Through predictive analysis based on PSO-LSSVM, fault development trend of equipment contacts is actively controlled, so the time for timely measures and ensuring the safe operation of power grid is bought. The method provided by the invention can be widely used in the field of power equipment forecast alarm protection.

The invention discloses a remote feeding system for aquaculture. The remote feeding system comprises power equipment, air supply equipment, feeding equipment, delivery equipment and spreading equipment, wherein the power equipment is connected with the other equipment, and provides a power energy source for the other equipment; a compression fan of the air supply equipment generates high-pressure airflows, and is automatically started and stopped at specific time points to ensure that the pressure of delivery pipelines is maintained within a safety range; a distributor sliding joint of the delivery equipment is automatically switched among different pipelines under the coordination of a proximity switch to feed feeds to a specific feeding water area through different pipelines; and after blown out of the delivery equipment, mixed baits are delivered to the spreading equipment through the delivery pipelines, and the airflows mixed with the baits are spread to target water bodies through the spreading equipment. The system can feed a plurality of target water bodies at a set time in a fixed amount, so as to improve feeding efficiency and save feeding cost.

The invention provides a device, a system and a method for measuring space charges by using an electro-acoustic (PEA) method. The device comprises a first electrode, a second electrode, a first thermostatic source, a second thermostatic source, a high-voltage direct current power supply, a pulse generator and a piezoelectric transducer, wherein the first electrode is used for contacting with one surface of the tested insulation material sample; the second electrode is used for contacting with the other surface of the tested insulation material sample; the first thermostatic source is used forconducting the temperature to the first electrode; the second thermostatic source is used for conducting the temperature to the second electrode; the high-voltage direct current power supply is used for transmitting the high-voltage direct current to the first electrode; the pulse generator is used for transmitting a high-voltage pulse signal to the first electrode; the piezoelectric transducer is used for detecting the acoustic signal of the tested insulation material sample, generated by the functions of the temperature gradient field, the high-voltage electric field and the high-voltage electric pulse, and is used for converting the acoustic signal into an electrical signal to output. The invention is used for measuring the distribution of the space charges in the high-voltage direct current power equipment insulation in the temperature gradient field.

A lightweight carbon fiber air / gas supply vessel storing high pressure air / gas. The air / gas supply vessel output is controlled by an adjustable pressure reduction valve which varies output pressure from very high to low pressure levels. An alternative multi-valve system uses a first pressure reduction valve to reduce output pressure from the very high levels in the air / gas supply vessel to an intermediate pressure level, and a second pressure reduction valve that reduces the air / gas pressure from the intermediate level to a fine tunable low pressure level. In both embodiments, the output of the last pressure reduction valve used is connected to a high pressure cable which in turn uses a standard universal fitting which can be coupled to most pneumatically powered equipment. Additional high pressure reservoir vessels can be used to replenish the lightweight air / gas supply vessel when its supply of air / gas is depleted.

A novel system and method for simplifying the management of electronic equipment such as computers, networks, and equipment and communications systems. The system tracks equipment that has been registered in an inventory database without any user involvement. Once registered and connected into the system's power source device, the equipment's location will be easily tracked without human intervention. This information may be used to locate systems in need of up grade, repair or relocation, and further can verify that the correct equipment was moved and that it was moved to the correct location.

The invention relates to the power distribution net monitoring field and provides a real-time state monitoring recognition method for indicator lights of a power device fault indicator. In the method, digital video signals collected by image collecting equipment of a camera, and the like are processed; video frames are extracted from the video signals; monitoring targets are determined, that is the target region of each indicator light in the video frames, and corresponding numbers are distributed; the pixel color change and the intensity roughness of each indicator light in the target regions of two adjacent frames are used for identifying the flash alarming of the fault indicator; specific conditions of faults are determined according to the identified target numbers of the flash alarming and the combinations thereof; the result is real-timely transmitted to a backstage by a distribution communication network to remind working personnel of the fault happening. The real-time state monitoring recognition method realizes the real-time monitoring recognition alarming for the light state of the fault indicator of the power equipment, ensures the reliability of a system, facilitates the installation and the modification of the system and guarantees the safety of installing and maintaining personnel.

The invention provides a deep-learning-based partial discharge defective image diagnosing method and system, comprising the following steps: 1) detecting the partial discharge signal of a piece of power equipment; obtaining a partial discharge defective image; 2) creating a partial discharge defective image sample database; extracting the training set and the testing set; 3) creating a deep convolution neural network model; using samples to do deep learning training and testing to obtain the connection weights and bias parameters of the network model; and 4) inputting the partial discharge defective image to be diagnosed into the network model obtained from the step 3; outputting and obtaining the partial discharge defect type of the image. According to the invention, through the utilization of the learning algorithm of the deep learning theory to complete the characteristic extraction task of a partial discharge defective image, it is possible to accurately and effectively identify the defect type of the partial discharge image without the reliance on manual extraction of the characteristic parameters, providing new solutions for insulation state diagnosing of power equipment.