38results about How to "Data source is accurate" patented technology

The invention discloses a safety assessment system for a river water environment of a plain river network, and belongs to the field of water environment safety assessment. By taking a DPSIR model as a theoretical basis, water environment safety assessment indexes are divided into five aspects of social and economic driving force, a pollution source and water resource development pressure, a water environment health present condition, a river service function and an environment supervision capability, and twenty assessment indexes including permanent population density, GDP per capita, a building land use proportion and the like are established. The water environment safety assessment process comprises the specific steps of obtaining a survey value for assessing an index of each layer of a river; determining an assessment standard value of the index; performing standardization processing of the survey value of the index; calculating an index score of a river water environment safety assessment index layer; calculating an index score of a river water environment safety assessment criterion layer; and calculating and assessing a river water environment safety index. According to the system, a scientific assessment method is established for the plain river network, and the water environment safety condition and problem of the plain river network can be quickly and effectively identified.

The invention relates to a satellite-aviation-ground combined forest fire trend early warning method, device and system of a power transmission line channel, and belongs to forest fire trend early warning of the power grid. According to the method, a remote sensing satellite, an unmanned aerial vehicle/helicopter and a power grid online monitoring device are used for monitoring the fire point position, the landform, the vegetation type and the microclimate; a set value of each parameter is obtained through a data receiving and processing module, a forest fire development trend vector diagram is obtained through calculation and deduction via a Rothermel model and a Huygens model, early warning information is obtained through power grid GIS superposition analysis, and the early warning information is sent to a mobile terminal of a manager of an equipment operation and maintenance department. By constructing the satellite-aviation-ground combined forest fire trend early warning system, investment of field operation and maintenance personnel can be reduced, the forest fire monitoring area can be expanded, the forest fire development trend can be quickly predicted, and an objective, accurate and stable data source can be provided for the power grid forest fire development trend.

The invention discloses a method for measuring actual distance of a human body based on a cornea image. The method comprises the following steps: (1) acquiring a front photo image with an eye black part or capturing a frame of front picture with the eye black part from a video; (2) detecting and positioning the eye black part; (3) determining the transverse maximum length of the eye black part; (4) determining the proportionality coefficient of an actual linear geometric size and the front image linearity; and (5) measuring actual distance between any two points in the photo image or a frame of picture, and multiplying the actual distance by the proportionality coefficient eta to obtain actual distance between two corresponding points of the human body. The invention also discloses a method for customizing a spectacle frame. In the invention, the transverse maximum length of the eye black part is measured to acquire the proportionality coefficient of an actual size and an image size, and thus absent measurement of any two points of the human body and an image or video comprising the human body can be carried out; and the data calculation is accurate, and the application is wide.

The invention relates to a pollutant detection system, a method and a storage medium, and belongs to the technical field of unmanned planes. The pollutant detection system comprises a monitoring terminal and an unmanned plane. The unmanned plane comprises a controller, an attitude detection module, a wind direction and wind speed detection module, a range finding module, a positioning module, a temperature and humidity detection module, a pollutant detection module, and a first communication module. The temperature and humidity detection module, the pollutant detection module, the attitude detection module, the wind direction and wind speed detection module, the range finding module, the positioning module, and the first communication module are all connected to the controller; and the first communication module communicates with the monitoring terminal. The pollutant detection system utilizes the flexibility and operability of the unmanned plane; the unmanned plane is used to detect the concentrations of pollutants in the high altitude; a pollutant distribution pattern can be obtained, the pollutants in the high altitude can be monitored, and accurate and reliable data is providedfor the scientific and reasonable treatments on air pollution.

The embodiment of the invention provides a data collaborative acquisition method and system. The method includes the following steps of: sending a collaborative acquisition request to each neighbor node in a collaborative neighbor node candidate set; generating a collaborative acquisition negotiation result based on the received collaborative acquisition feedback sent by all neighbor nodes that judge the data acquisition; and sending the collaborative acquisition negotiation result to each neighbor node in the collaborative acquisition neighbor node set to ensure that the neighbor nodes carryout data collaborative acquisition according to the collaborative acquisition negotiation result. The method and the system provided by the embodiment of the invention can maximize the global acquisition utility in a negotiation manner according to potential threats and/or acquisition tasks, further adjust the local acquisition strategy in real time, reduce computing resources, storage resources and transmission resources consumed by comprehensive data acquisition, and provide accurate data sources for safety monitoring and threat discovery.

The invention relates to a power quality monitoring terminal for a switch-in electronic mutual inductor. The power quality monitoring terminal has the technical characteristics that a fiber transceiver and a CPU are included and connected; the fiber transceiver is connected with the electronic mutual inductor in a process level through optical fibers and used for receiving real-time sampling data output by the electronic mutual inductor and sending the sampling data to the CPU; and the CPU performs electrical energy analysis and calculation to the received real-time sampling data, and uploads the power quality data obtained through the calculation to a station control level through a network interface. The power quality monitoring terminal has a reasonable design, realizes the function that a plurality of outgoing lines can be monitored simultaneously through one monitoring terminal, reduces the equipment cost, effectively avoids the influence of electromagnetic interference, is greatly improved on stability, reliability, safety and other aspects, meets the accuracy required by the power quality monitoring and analyzing, and meets the requirement for power quality monitoring of an intelligent power network.

The invention provides a multi-functional electric meter with reactive power compensation and relay protection functions. Its functions include measuring and monitoring indoor temperature and humidity, three-phase voltage, current, phase sequence, frequency, power, harmonics, reactive power Compensation, relay protection. The main components of the multi-function electric meter are: 1. Sampling unit, 2. Analog-to-digital conversion unit, 3. Calculation and judgment unit, 4. Display unit, 5. Command execution unit, 6. Data storage unit. The sampling unit includes temperature sensors, humidity sensors, current detectors, voltage detectors, etc.; the analog-to-digital conversion unit converts the collected physical quantities into digital quantities; the calculation and judgment unit includes a calculation part and a judgment part, and these two parts are processed by two The computer calculates and judges the digital data, and this design can shorten the time from data acquisition, processing to display. The display unit is not only displayed on the LED screen of the multi-function meter, but also displayed on the main control machine of the monitoring system; the command execution unit includes automatic regulation and manual regulation.

The invention discloses a power grid maintenance standard operation cost forming method. The method includes the steps that firstly, a standard operation library is established; secondly, standard operation quantity and valuation models are established on the basis of the standard operation library; thirdly, a standard operation cost pool is formed; fourthly, standard operation cost and historical actual cost are analyzed to form deviation; fifthly, through a deviation analysis result, dynamic correction is performed to adjust the standard operation cost. According to the power grid maintenance standard operation cost forming method, on the basis of the typical standard operation instruction library, all the operation quantity and valuation models are established, the power grid maintenance standard operation cost pool is formed, deviation analysis is performed through the actual cost and the standard operation cost, and therefore dynamic correction is performed on the power grid maintenance standard operation cost pool, and power grid maintenance standard operation cost is comprehensively, systematically, reasonably and effectively managed and controlled in a lean mode.

The invention belongs to the technical field of a remote sensing technology apparatus and, in particular, relates to an unmanned aerial vehicle (UAV) aviation remote sensing data acquisition system. The invention discloses the UAV aviation remote sensing data acquisition system characterized in that for a one-key take-off automatic aerial photographic system, high molecule polymerization damping balls are introduced to make the condition of an IMU sensor more stable, the FPGA-based multi-channel micro high-speed data storage technology is adopted to distribute high-speed serial data to a five-way parallel processing unit for data storage, a five-way SATA interface is adopted, and a solid state disk is used for data high-speed storage. The system of the invention has the beneficial effects of realizing absolutely independent time reference measurement of various cameras, and coordinately controlling the simultaneous exposure of the multiple cameras by parallel control.

The invention discloses a water quality section pollution contribution rate calculation method based on a water quality model and a pollutant reduction mechanism. The water quality section pollution contribution rate calculation method comprises the following steps: S1, identifying a pollution source; s2, constructing a one-dimensional water quality model, adding a pollution source into the water quality model, and simulating to obtain the pollutant concentration of each section in the riverway; s3, based on a pollutant reduction mechanism, calculating the reduction amount of pollutants of each pollution source in the river channel operation process; s4, obtaining the reduction quantity of all pollution sources at the water quality section; s5, obtaining the pollutant flux of the pollution source at the water quality section; S6, dividing the total flux of the section by the flux of the pollution source at the section to obtain the pollution contribution of the section. The method has the technical effects and advantages that the one-dimensional water quality model is constructed, and the pollution contribution of the cross section is obtained by dividing the total flux of the cross section by the flux of the cross section of the pollution source, so that the uncertainty caused by the model structure in the aspect of river channel parameter simulation is reduced.

The invention discloses a transformer model measurement and analysis method, which comprises the following steps: respectively acquiring a vibration signal and temperature of transformer equipment through an acceleration sensing module and a temperature sensing module, and carrying out feature extraction on the vibration signal; acquiring a load value on the transformer equipment by using a power meter; and training a neural network according to the extracted vibration signal features, temperature and load values, generating a measurement network model in combination with a genetic algorithm, and obtaining a visual analysis report through the measurement network model. According to the method, the corresponding measurement network model is obtained by combining the vibration signal, the temperature and the load and performing matching based on the neural network, so that a transformer model is suitable for the adaptive matching process of different acquired data, and a corresponding measurement basis is provided for dynamic analysis of the transformer; and in the data collection process, an acceleration sensing module, an anti-aliasing low-pass filter circuit and an ADS analog-to-digital converter are designed to provide an accurate data source for a transformer model.