The invention discloses a power distribution network electrical equipment monitoring system which comprises a sensor group and a data collection mainframe, wherein the data collection mainframe is connected with the sensor group which comprises an ultrasonic wave sensor, an electromagnetic sensor, an ultraviolet sensor and an infrared sensor, the ultrasonic wave sensor and the electromagnetic sensor are jointly used for detecting local discharge signals, the ultraviolet sensor is used for detecting arc light, and the infrared sensor is used for detecting temperature. According to the power distribution network electrical equipment monitoring system, the defect of the electrical equipment can be found in advance, the failure is prevented, and preventive measures can be taken in advance.

Power distribution network electrical equipment monitoring system

The invention provides an air-conditioning control method and device based on load prediction and a computer storage medium. The method includes the steps that a feature set corresponding to a to-be-predicted period is determined; operating features in the feature set are calculated based on the weight coefficient to obtain a load capacity base value, and the predicted load capacity of the to-be-predicted period is obtained according to the load capacity base value and diversity factor, the weight coefficient is obtained through nonlinear regression estimation of the feature set and load capacity corresponding to a historical period, and the diversity factor is obtained according to the load capacity of the historical period and the load capacity base value corresponding to the historicalperiod; and the control strategy corresponding to the predicted load capacity is determined, and control is conducted according to the control strategy.

Air-conditioning control method and device based on load prediction and computer storage medium

The embodiment of the invention provides a load prediction model creation method and device, and a power load prediction method and device. The load prediction model creation method comprises the steps of obtaining historical power load characteristic data and corresponding historical condition data; determining distribution characteristics of the historical power load characteristic data and thehistorical condition data; establishing at least one initial prediction model according to the distribution characteristics; wherein the initial prediction model comprises an association relationshipbetween the historical power load characteristic data and the historical condition data; determining whether each initial prediction model satisfies a preset error condition or not according to the historical power load characteristic data and the historical condition data; and determining a power load prediction model according to the initial prediction model meeting the error condition. According to the embodiment of the invention, the algorithm is simplified, the modeling efficiency is improved, and the overfitting phenomenon is avoided, so that the created power load prediction model is simple in structure and relatively good in fitting effect, and accurate prediction of the future power load is facilitated.

Load prediction model creation method and device, and power load prediction method and device

The invention discloses an online monitoring method and system for a contact state of an outgoing line connector of a distribution transformer, belonging to the safe operation technology field of power distribution equipment. The online monitoring method comprises that: a current signal of real operation of a power distribution transformer (5) on a power supply side is obtained; 2, input power P1 of the distribution transformer 5 on the power supply side and output power P2 of the distribution transformer on a load side;3, a logics processing module obtains active power delta P of the distribution transformer which is consumed under a real-time load; d the logics processing module calculates to obtain active power P3 consumed by the outgoing line connector of the distribution transformer (5); e, the logics processing module determines whether the active power P3 consumed by the outgoing line connector of the distribution transformer exceeds a set value, if the active power P3 exceeds the set value, a step f is executed. The online monitoring method and system of the invention can perform monitoring on the operation state of the outgoing line connector when the distribution transformer operates, which greatly improves detection reliability.

Online monitoring method and system for contact state of outgoing line connector of distribution transformer

The invention particularly relates to an arc light sensing device, comprising a light signal acquisition module, a temperature acquisition module and a power supply module. The light signal acquisition module comprises an ultraviolet light signal acquisition module and a visible light signal acquisition module. The light signal acquisition module and the temperature acquisition module are connected with the power supply module and connected with a data processing module through a first signal conversion module and a second signal conversion module. The data processing module is connected witha wireless communication module and the power supply module, the data processing module is used for recording and analyzing signal data acquired by the light signal acquisition module and the temperature acquisition module, and transmitting the data to a remote monitoring center through the wireless communication module. Whether an arc light occurs or not is judged through a single signal in the prior art, but arc light signals are acquired by the light signal acquisition module and the temperature sensor in the invention, an comprehensive judgment is carried out by ultraviolet light signals,visible light signals and temperature signals, and accuracy of the arc light sensing device is improved.

Arc light sensing device and equipment health condition judging method

The invention is suitable for the power technology field and provides a power load prediction method, a power load prediction device, terminal equipment and a computer readable storage medium. The power load prediction method comprises the following steps of acquiring historical data; carrying out fitting processing on the acquired historical data and acquiring training data; creating a neural network model; taking the training data as a training data set of the neural network model, training the neural network model and forming a prediction training model; and based on the prediction trainingmodel, carrying out power load prediction. In the invention, the accuracy of power load prediction can be increased.

Power load prediction method, power load prediction device and terminal equipment

The invention discloses an integrated detection method and apparatus based on infrared, ultraviolet and visible light The method comprises: collecting an infrared signal and an ultraviolet signal respectively and processing the infrared signal and the ultraviolet signal respectively; carrying out integrated positioning based on the processed infrared signal and ultraviolet signal to obtain a fault diagnosis result; collecting an ultrasonic signal and a video signal separately and respectively processing the ultrasonic signal and the video signal; according to the processed ultrasonic signal and video signal, carrying out ultrasonic partial discharging processing to obtain fault alarm information; and sending the fault diagnosis result and the fault alarm result to a detection platform Therefore, with the detection method, a defect and a potential safety hazard of a power transmission line can be warned early and processed timely

Integrated detection method and apparatus based on infrared, ultraviolet and visible light

The invention discloses a novel method for calculating and evaluating the heat dissipation capacity of a large transformer. The method comprises the steps that the heat dissipation capacity of the transformer is calculated through the change of upper-layer oil temperature rise for the first time, average temperature rise is calculated through the upper-layer oil temperature rise of the transformer, and therefore the thermal load of unit area is calculated and calculated with transformer load loss to obtain the effective heat dissipation area of the transformer; the heat dissipation capacity of the transformer is quantized, the heat dissipation capacity of the transformer is evaluated through grade analysis, and corresponding handling measures are taken. The method can be used for evaluating the loading capacity of various transformers, the problem that the heat dissipation capacity of the transformer cannot be evaluated in the operating state of the transformer currently is solved, the application range is wide, high reliability is achieved, and cost is low.

Novel method for calculating and evaluating heat dissipation capacity of large transformer

The invention relates to a method for evaluating the risk of short circuit and damage of a transformer. The method is characterized by comprising the following steps: (1) evaluating the degree of the short circuit and damage of the transformer from short-circuit current according to a formula; (2) calculating the probability of tripping of single main transformer circuit every year according to a formula; (3) calculating the proportion of damaged transformers in recent ten years to transformers tripped at outlets according to a formula; (4) calculating the probability of the short circuit and damage at the low-voltage side of single transformer according to a formula; (5) evaluating the quantity P of the transformers damaged by short circuit every year according to a formula. The method is wide in application range, high in reliability and low in cost, can be used for evaluating the risk of the short circuit and damage of the transformer, and can be applicable to evaluation on the risk of the short circuit and damage of multiple transformers with different voltage levels and different cooling modes.

Method for evaluating risk of short circuit and damage of transformer

The application is suitable for the transformer technology field, and provides a synchronization sensor of identifying the transformer induction field power supply phases. The synchronization sensor comprises a magnetic flux leakage induction sensor, an amplifying and shaping module and a phase angle identification module which are connected orderly and electrically. The magnetic flux leakage induction sensor obtains a magnetic flux leakage signal from the exterior of a transformer and transmits the magnetic flux leakage signal o the amplifying and shaping module, the amplifying and shaping module shapes and amplifies the received magnetic flux leakage signal and then inputs in the phase angle identification module, and the phase angle identification module converts the received, shaped and amplified magnetic flux leakage signal into a synchronization signal of a power supply phase. The synchronization sensor of the present invention can obtain the phase of the magnetic flux leakage signal of the transformer accurately.

Synchronization sensor of identifying transformer induction field power supply phases

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