6894 results about "Electric power equipment" patented technology

A hydraulic fracturing system for fracturing a subterranean formation includes a power generation system, a transmission section, and an equipment load section. The power generation system includes a turbine generator that generates electricity that is used to power equipment in the equipment load section. The equipment in the equipment load section conditions and pressurizes fluid that is injected into a wellbore for fracturing the formation. The power generation and equipment load sections are distal from one another are separated by a long distance. The transmission section connects the power generation and equipment load sections, and thus spans the long distance between these sections.

A distributed storage and parallel mining method for state monitoring data includes the steps: defining function service models of a remote substation state monitoring unit and a state monitoring communication front-end processor by means of Web service description language, and exchanging the state monitoring data of electric power equipment in an electric power wide area network environment by a simple object access protocol; storing large-scale state monitoring data redundancy in a distributed file system, creating an index table for a state monitoring data file, inserting the index table into a large-scale structural data table and querying the state monitoring data according to a query request; and generating basic data and multi-dimensional analytical data by extracting, converting and loading to built a data warehouse, and parallelly executing association rules, classification and clustered data mining algorithm by means of MapReduce task decomposition and result summary. The distributed storage and parallel mining method can be used for effectively realizing distributed data exchange, redundant storage and rapid parallel processing for state monitoring information of the mass electric power equipment in an intelligent power network environment.

The invention relates to an authentication and / or energy auditing system for a plug-in electric drive vehicle. A first device connects to a first power apparatus and establishes an electrical power path between the first and a remote device. The latter is connectable to a second power apparatus. The authentication system preferably includes a powerline transceiver to receive a request containing an identifier from the remote device over the power path. Control means controls operation of the first device and responds to the request to initiate an authentication process to determine whether or not the remote device is authentic and authorised to exchange power with the first device, and to activate a control switch to electrically connect the first device to the first power apparatus only upon an authentic and authorised determination. The energy auditing system measures energy received by each device in a specified time interval and electrically disconnects the first device from the first power apparatus when a power loss between the respective devices is detected.

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 differential relay for protecting a power apparatus portion of a power system, such as a bus line, includes incoming and outgoing power lines on which incoming and outgoing currents are present. The incoming and outgoing currents of each phase are applied through current transformers and then through filtering and normalizing circuits prior to application to the differential relay. The differential relay includes a circuit for determining the presence of an external fault, and maintains security by avoiding a tripping action of the relay for said external faults. Further, the relay includes circuits which in response to the external fault evolving to an internal fault alters the operation of a portion of the relay, by increasing the gain for the restraint current, enabling a directional element for supervision of the differential relay, and for extending the immediate post-fault value of restraint current, and adding a time delay for a selected period of time, all of which are used to identify an external fault evolving into an internal fault.

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.

The invention relates to a substation equipment appearance abnormality recognition method based on a substation inspection robot. In the method, based on a power inspection robot platform (with a model number of LER-3000), relative technologies such as an image processing technology, a mode recognition technology and the like are utilized to detect images collected by power equipment, judge whether the equipment is in abnormal conditions of fouling, damage, foreign bodies and the like or not, find out a corresponding defect recognition method by analyzing the collected images, accurately and rapidly detect the abnormality of the equipment, timely report and eliminate safety hidden dangers. The substation equipment appearance abnormality recognition method based on the substation inspection robot comprises the following steps of, firstly, collecting an image of each equipment on an inspection route by the power inspection robot; secondly, carrying out registration on a processed image and a corresponding equipment reference image stored in advance; thirdly, after image registration, detecting a region with the abnormality according to a difference of the two images; and fourthly, classifying the abnormality according to characteristic parameters of the detected abnormal region.

The invention discloses a fundamental voltage synchronous signal detection method during harmonic distortion and unbalance of network voltage. A novel resonant phase locked loop (PLL) can quickly compensate phase tracking errors caused by various network faults, effectively inhibit frequency fluctuation and phase jitter caused by a negative sequence and a harmonic component in the network voltage, and realize accurate detection of fundamental voltage synchronous signals in a distorted network. The method can meet the detection requirements on voltage frequency, amplitude and phase under the ideal network conditions, is particularly suitable for capturing the fundamental voltage synchronous signals under severe transient state and stable state network faults such as network voltage drop, unbalance, harmonic pollution and the like, and can realize quick extraction of the positive and negative sequences and the harmonic component in the voltage. The method has the characteristics of highdetection accuracy and good real-time property, can provide an accurate control basis for operating control of grid-connected power equipment such as various wind generating sets, solar photovoltaic grid-connected devices, reversible speed control transmission systems, dynamic reactive compensators and the like.

The invention relates to a site rust-removing and corrosion-preventing method for continuously carrying out the electric processing of a steel piece of an electric power system, which has good rust removing and corrosion preventing effect and comprises the steps of: a. removing the dust and the rust on the corrosion part of the steel piece on site; b. coating the rust corrosion part at least for once by utilizing the surface treating fluid integrating four functions of removing oil, removing rust, phosphatizing and passivizing after the step a; and c. coating for at least once by utilizing corrosion-preventing paint after the coated surface treating fluid is completely dried, wherein the surface treating fluid is a water solution prepared according to the following components and the contents thereof; and each liter of the surface treating fluid contains 50 to 350ml of phosphoric acid (while the condensation is 85%), 5 to 25g of Zinc, 0.2 to 7.5g of phosphatizing reaction accelerant, 0.5 to 10g of oxidant, 10 to 40g of polyhydroxyl organic acid complexing agent, 1 to 5g of surfactant and the balance of water. The method is suitable for the rust removing and the corrosion preventing of outdoor electric power equipment.

The invention discloses a transformer station guide rail type inspection robot. The transformer station guide rail type inspection robot is characterized by comprising a guide rail arranged in a transformer station and a mobile dolly walking on the guide rail. The mobile dolly is provided with a central control module, and a holder, a motor driving module, a positioning module, an equipment information acquisition module, a communication module, a remote control module and a fault module which are connected with the central control module, wherein the equipment information acquisition module is used for obtaining information of detected equipment; the communication module is used for receiving data and communicating with a host computer; the holder is provided with a camera for acquiring onsite image information in the transformer station; and the central control module is used for controlling the driving of the mobile dolly and the holder, data processing and communication. According to the invention, the transformer station guide rail type inspection robot has the following advantages: power is supplied uninterruptedly, the requirement for non-contact type state monitoring of various equipment of the transformer station is satisfied, electric power equipment is monitored in an omni-directional mode, the operation is stable and reliable, and the maintenance cost of the guide rail is low.

A method for evaluating insulation aging state of oil paper insulation electrical equipment on the basis of frequency domain spectroscopy comprises the following steps of: disconnecting the oil paper insulation electrical equipment to be tested from a power circuit, reliably grounding a frequency domain spectroscopy tester and connecting the frequency domain spectroscopy tester with the oil paper insulation electrical equipment to be tested; measuring and obtaining the frequency characteristic curve of an oil paper insulation layer complex capacitor; performing spectrum unfolding processing to the frequency characteristic curve of the complex capacitor, thereby obtaining the frequency characteristic curve of the spectrum-unfolded complex capacitor and obtaining a corresponding characteristic frequency (fp); calculating by the following formula to obtain the current average degree of polymerization (DP) of an oil immersed paper plate; and obtaining the aging situation of the oil paper insulation electrical equipment to be tested according to the range zone of the obtained DP value. According to the embodiment of the invention, the average degree of polymerization (DP) of the insulation paper can be exactly evaluated and the insulation aging state of the oil paper can be judged without lifting a core, damaging the insulation material or sampling.

The invention discloses a dustproof and heat radiation type electric power equipment power distribution cabinet comprising a cabinet body, a heat radiation blower, a negative pressure blower, a water tank and a drying agent placing box. The water tank is fixedly connected on the upper part of the cabinet body. The negative pressure blower is fixedly connected in the middle of the upper side wall body of the water tank. The air inlet end of the negative pressure blower is fixedly communicated with the upper side wall body of the water tank. The output end of the negative pressure blower is fixedly communicated with an output pipe. The beneficial effects of the dustproof and heat radiation type electric power equipment power distribution cabinet are that when a temperature sensor in the cabinet body senses certain temperature, the negative pressure blower is enabled to be electrified and started, and the air is secondarily filtered so that the dust in the air can be effectively reduced. The drying agent placing box can be rapidly detached and installed by detaching and installing a bolt component, and cleaning is facilitated. When the drying agent requires to be replaced, the drying agent box is directly pulled out and a new drying agent box is put in so that replacing is rapid and operation is convenient. A propeller impeller is enabled to rotate by the air entering an air pipeline so that fan blades are enabled to rotate, and the heat radiation efficiency in the cabinet body can be enhanced.

The present invention is directed to a system and method for detecting impaired electric power equipment. An exemplary embodiment of the present invention may receive electromagnetic radiation and process the resulting signal. For example, signal processing may be used to identify electromagnetic radiation having a particular pattern that is characteristic of electric power equipment. Furthermore, an embodiment of the present invention may determine the time and / or location during testing. As a result, the present invention may be useful for stationary and / or mobile testing of an electrical system.

The power toothbrush, which has a rotating brushhead movement, includes a housing with a motor mounted therein having an armature which in operation rotates through an arc of predetermined magnitude. The toothbrush also includes a brushhead mounted on a shaft which is connected to an output mass. A spring assembly couples the armature to the output mass, the spring assembly including two spring portions with a node point therebetween, wherein when the armature rotates, the brushhead moves in an opposite direction. The frequency of the movement of the armature is set equal to the resonant frequency of the spring coupling system and the output assembly.

A multi-classifier information fusion partial discharge diagnostic method comprises the steps of (1) signal acquisition, namely partial discharge signals of electrical equipment are acquired through a sensor, (2) signal preprocessing, (3) discharge feature extraction, namely extraction of pulse features and statistic features, (4) classifier recognition, namely extracted feature parameters are used as input vectors, and a neural network classifier, a fuzzy reasoning classifier and a distance discriminant classifier respectively give out confidence coefficient results of five discharge types of corona discharge, suspension electrode discharge, free particle discharge, air gap discharge and creeping discharge, (5) possibility judgment and (6) eventual confidence coefficient calculation. According to the multi-classifier information fusion partial discharge diagnostic method, the discharge types can be pointed out, the specific confidence coefficients can be given out, so that a result is more accurate and comprehensive. The multi-classifier information fusion partial discharge diagnostic method can be further popularized and applied to the fields of fault diagnosis, mode recognition and the like, and has broad market prospects and application values.

The invention discloses an infrared image power equipment real time detection method based on deep learning; the method comprises the following steps: collecting a plurality of infrared images containing known power equipment, marking a target box for each infrared image, wherein the target box refers to an image area that contains a single known power device, and each infrared image has a devicelevel label; inputting the infrared images and the corresponding device level labels into a power equipment detection nerve network, and using a SGD algorithm with momentums to train the power equipment detection nerve network; using the trained power equipment detection nerve network to process an unknown to-be-tested image, thus obtaining a power equipment position and type in the unknown to-be-tested image. Compared with a conventional infrared image power equipment detection method, the infrared image power equipment real time detection method can obtain better performances, and can realize a real time processing speed.

The invention relates to the technical field of smart power grids, in particular to a transformer substation configuration file control method and system. The transformer substation configuration file control method comprises the following steps of receiving a transformer substation configuration file; generating elements corresponding to a transformer substation device configured by the transformer substation configuration file; receiving the edition on the elements, and generating a warning condition of the element description; and transmitting the warning condition to an intelligent transformer station monitoring system, wherein the warning condition is used for outputting warning information when the intelligent transformer station monitoring system monitors in real time that power equipment of a transformer substation satisfies the warning condition. Due to the adoption of the transformer substation configuration file control method and system, an effective secondary data management tool can be provided for the operation and maintenance, the designed configuration information of the intelligent transformer substation can be effectively utilized, inconsistency for asynchronously operating a uniform file in multiple links can be avoided, convenience for managing the configuration file can be realized, and the working efficiency of operation and maintenance personnel can be increased.

A method and apparatus for detecting infrared image abnormality of electric power equipment in substation The invention adopts the latest depth learning and the computer vision algorithm to automatically analyze the infrared data and detect the abnormal heat through the collected infrared image or infrared video, which will greatly improve the efficiency and accuracy of the infrared image or infrared video detection. In the substation patrol robot with infrared imager, such intelligent infrared abnormal heating area and fault equipment type detection algorithm based on depth learning are embedded in the upper computer control system such as substation fixed-point monitoring track robot. Real-time infrared image or video detection will further improve the intelligent degree of these intelligent equipment, so as to achieve the real intelligent patrol.

The invention discloses a hoisting device for maintenance of power equipment. The hoisting device for maintenance of the power equipment comprises a supporting base, a lead screw, a sliding block, a balancing weight, a clamping mechanism, a winding roller, a rigid pulling rope, a supporting stand column, a supporting cross rod, a supporting cross beam and a lifting frame, wherein the sliding block is rotatably arranged on the lead screw in a threaded connection mode; the balancing weight is arranged on the upper surface of the sliding block; and one end of the rigid pulling rope is connected with the winding roller, and the other end of the rigid pulling rope winds across a first guiding pulley and a second guiding pulley, penetrates through a channel formed between a first limiting pulley and a second limiting pulley, and then is connected with the clamping mechanism. By adoption of the hoisting device for maintenance of the power equipment, the power equipment can be clamped and fixed and can also be hoisted rapidly; and the position of the balancing weight can be adjusted conveniently, so that the balancing effect of the balancing weight can be brought into full play, and the safety is high.

The invention discloses a quantitative scoring method of a power equipment state. The method comprises the following steps of: collecting parameters of power equipment state quantity; calculating an equipment state quantity score according to a scoring rule made in advance; according to a reasonable score set in the scoring rule, determining whether the equipment is normal or not. According to the invention, state evaluation in a state overhaul field is refined, being different from a general overhaul system, the method of the invention focuses on equipment state scoring, predication assessment and risk control, and overhaul personnel and pretesting personnel are helped to grasp the present running information of the equipment in real time. By using the method of the present invention, blindness in the process of equipment maintenance can be obviously reduced, maintenance deficiency or excess is avoided, at the same time, a large amount of repair cost is saved, the safe and stable operation of the equipment are ensured.

Provided is a monitoring method for electric power working safety based on image recognition. A structure of the method of the invention comprises an on-site electricity-utilization controllable operation power supply, a camera and a system respectively connected with the on-site electricity-utilization controllable operation power supply, wherein the system is composed of an image pattern recognition processing program and has video monitoring and electricity-consumption environment control functions. The monitoring method comprises the steps of realizing a virtual boundary for an electric power working operation site and realizing three-level safety control and environmental electricity-utilization control based on an image recognition technology so as to prevent workers at the electricpower working operation site from electric shocking and to monitor operation conditions of on-site electric power equipments. By conducting effective safety boundary management of an electric power working and testing site, the method of the invention has the substantial advantages of improved functions, reliability and wide application range.

The invention provides a power transmission and distribution line partial discharge fault on-line detection method and an apparatus thereof, belonging to the measurement field. A method of on-line remote orientation focusing pick-up / positioning is employed to capture a supersonic wave signal generated in a discharge process, a heterodyne method is used to convert the picked supersonic wave signal into a sound / electrical signal which can be distinguished by detection personnel, according to a value size or change of sound pressure / voltage, whether a position where a partial discharge fault easily happens exists a contaminant flashover phenomenon or not and a degree of contaminant flashover are determined qualitatively and quantificationally, thereby, intensity of contaminant flashover of the position where the partial discharge fault easily happens and a size of threat to a system are determined, manpower and regular inspection cost can be greatly reduced, previous power failure time workload is reduced, safety operation of electric power equipment is ensured, maintenance cost is saved, and power supply reliability is raised. The method and the apparatus can be widely used in the on-line detection and fault diagnosis of a power transmission and distribution line.

The invention discloses a multifunctional electric power equipment protection box. The multifunctional electric power equipment protection box comprises a box body, the outer side of the box body is provided with a housing, a cooling water cavity is disposed between the housing and the box body, the upper side of the box body is provided with a rain baffle plate in a tilting manner, the rain baffle plate is uniformly provided with a plurality of drainage grooves, the lower right end of the box body is provided with a water collecting tank, the left end of an opening of the water collecting tank is higher than the right end, and the top end of the internal of the water collecting tank is provided with a filter mesh. The multifunctional electric power equipment protection box is provided with a dustproof mesh at a position of a vent hole, the dustproof mesh can effectively prevent dust, rain can be effectively prevented, rainwater can be collected, the internal of the box body is cooled by utilizing a water circulation system, and the multifunctional electric power equipment protection box has the good cooling effect and high efficiency, normal working of electric power equipment is guaranteed, energy is effectively saved, usage cost is lowered, a position-adjustable illumination lamp provides convenience for workers to maintain the electric power equipment at night, the operation difficulty is reduced, and practicality is high. Furthermore, the multifunctional electric power equipment protection box can freely adjust the height of the box body, and the multifunctional electric power equipment protection box has the advantages of simple operation and convenient adjustments.

The invention discloses an equipment fault diagnosis method of an electric power system. The method comprises the steps of segmenting an infrared image by utilizing a two-dimensional fuzzy-partition maximal entropy, and performing noise reduction and target segmentation on collected infrared thermogram of a fault point of electric power equipment; classifying and storing all collected image targets of the electric power equipment by utilizing an artificial neural network; finally comparing a separated fault image or a fault prediction point image with the image targets of the electric power equipment and carrying out fusion analyzing according to a stage fusion model, so as to obtain a diagnosis result; and performing the data fusion on conventional fault point empirical data of the electric power equipment and the detected fault point image data, thus obtaining a final fault result or predicted fault position of the electric power equipment. By integrating multiple algorithms, the precise diagnosis steps are formulated, and the modularization and systematic design is adopted, so that a complete and precision way for diagnosing the equipment fault of the electric power system is established, and the running reliability and stability of the electric power system can be improved.

It is a distribution light fiber and grating temperature measurement system used in high press electricity device, which belongs to measurement field and comprises wide band laser source, light fiber coupler, light fiber, light fiber and grating sensor, tunable fiber filter, and light detector. Setting light spectrum analysis unit and the unit of control and data process characterize it. Its laser source is connected with one sub-light of the light fiber coupler and the other sub-light is connected with input light end of the light detector through tunable light filter. The joining path end of the light coupler is connected in series with multiple fiber and grating sensor with different centers through light fiber. The laser source, tunable fiber filter, light detector are electrically connected with light spectrum analysis unit and the unit of control and data process through a bus.

In a multiphase electrical power construction and assignment, a processor: determines a phase and voltage configuration for bi-directional power device pairs; determines a given bi-directional power device pair is to be coupled to a given phase connection based on the configuration; determines whether the given bi-directional power devices in the given bi-directional power device pair are to be coupled to each other; confirms that the given bi-directional power device pair is not coupled to any of the plurality of phase connections; couples the given bi-directional power device pair to the given phase connections, where power signals of the given bi-directional power device pair are synchronized with a power signal of the given phase connection; and in response to determining that the given bi-directional power devices are to be coupled to each other, couples each of the bi-directional power devices to a short bus.

The invention provides an outdoor distribution box, and relates to the electric power equipment technical field; the outdoor distribution box comprises a mounting plate; a pedestal is fixed on the topof the mounting plate; a holder is arranged on the pedestal top; the holder bottom and the pedestal top are fixedly connected through a damping spring; a support, a coiling motor, a coiling reel, a heat radiation chamber, a slide block, a heat radiation motor, fan blades, an air-out filter screen, a stay rope, a guide bar and a guide wheel are matched; when the heat radiation motor starts, the coiling reel on the output end makes back and forth reciprocating motions so as to wind up or release the stay rope; driven by the stay rope, the slide block drives the heat radiation motor so slide upand down on the right side of the box body inner wall; in addition, the heat radiation motor drives the fan blades to blow cool airs so as to dissipate the electric facilities in the box body, thus forming uninterrupted cold-hot circulations in the box body, and providing good heat radiation effect; the air circulation is good for moistureproof effect in the box body, thus ensuring the power equipment in the distribution box body to stably operate.

The invention provides a monitoring device which is used for the high voltage cable connector status in a mine roadway, wherein, a temperature sensor, a humidity sensor and a current transformer are connected with a data acquisition unit through signal wires; the data acquisition unit, a data storage unit, a keyboard, a display unit, a clock unit and an acousto-optic warning unit are connected with a microcontroller unit through an I / O port; and the microcontroller unit is formed by the connection between a serial port and a communication unit. The invention is simple in structure, low in cost, safe and reliable in performance, and can monitor the temperature, current and humidity of the cable connector in real time, thus being applicable to the monitoring of high pressure cable connection device in the mine roadway and other high voltage electric power equipment.