5 results about "Thermal discharge" patented technology

A transduction detection device includes a substrate, at least one movable ground relative to the substrate and a suspended stress gauge provided with a piezoresistive element which includes a first anchoring and a second anchoring, different from the first anchoring, relative to the movable ground, wherein it includes at least one thermal dissipator element thermally conductively connected: to a connection portion of the piezoresistive element located outside of the anchorings, and to a thermal discharge part.

The invention discloses a coastal power plant warm discharge water background temperature calculation method, an electronic device and a storage medium, the background temperature is accurately calculated, and the method comprises the following steps: 1, if remote sensing image data exists before a power plant operates, taking a power plant sea area as a target sea area; and if not, selecting adjacent areas which are similar in shoreline characteristics and are not influenced by warm drainage. 2, selecting a remote sensing image similar to the field observation time for inversion to obtain a sea surface temperature data matrix; and 3, establishing a water temperature gradient observation strip consistent with the resolution interval of the remote sensing image in the target sea area from the shore to the offshore direction, and calculating a temperature mean value. And 4, fitting a curve representing the natural gradient change of the offshore water temperature by using an exponential function model based on the observation strip temperature data. And 5, introducing the water temperature of the reference point. And 6, in combination with the fitting curve and the datum point water temperature, background temperatures of different tidal hours and offshore distances are calculated to form a space-time continuous dynamic background temperature field. And 7, performing difference operation on the actually measured sea surface temperature field and the dynamic background temperature field to obtain an actual temperature rise field of the thermal discharge of the power plant.

The application discloses a kind of calculation method of coastal power plant warm discharge background temperature, electronic equipment and storage medium, accurately calculate background temperature, comprising:1.If there is power plant before running remote sensing image data, with power plant sea area as target sea area;If not, select adjacent, similar and not affected by warm discharge region of shoreline feature.2.Select and reverse the remote sensing image of the similar observation time, obtain the sea surface temperature data matrix.3.In the target sea area, the temperature mean value is calculated by establishing the water temperature gradient observation strip consistent with the resolution interval of remote sensing image along the coast to offshore direction.4.Based on the temperature data of observation strip, the curve representing the natural gradient change of offshore water temperature is fitted using the exponential function model.5.Introduce the reference point water temperature.6.Combined with the fitting curve and reference point water temperature, the background temperature of different tidal time and offshore distance is calculated to form a spatiotemporal continuous dynamic background temperature field.7.The actual temperature rise field of power plant warm discharge is obtained by difference operation between measured sea surface temperature field and dynamic background temperature field.

The invention relates to a dynamic water surface heat dissipation coefficient determination method for thermal discharge simulation of a nuclear power plant, and the method comprises the steps: obtaining historical meteorological and hydrological data of the nuclear power plant, the time span being longer than 10 years, and the historical meteorological and hydrological data at least comprising wind speed, air temperature, water temperature and relative humidity; performing climate node division based on the historical meteorological and hydrological data to obtain a plurality of climate seasons; calculating a meteorological and hydrological parameter set for each climate season; for each meteorological and hydrological parameter set, calculating a corresponding water surface comprehensive heat dissipation coefficient; and obtaining current meteorological and hydrological data, determining a current climate node, and dynamically selecting the water surface comprehensive heat dissipation coefficient corresponding to the current climate node. One year is divided into a plurality of climate seasons, and a specific water surface heat dissipation coefficient value is calculated for each season, so that key parameters in numerical simulation can dynamically respond to periodic changes of actual meteorological and hydrological conditions, and the effect that the simulated temperature rise field is more consistent with the actual condition in time dimension and space distribution is achieved.

This invention provides a method for monitoring thermal discharge from nuclear power plants based on unmanned aerial vehicles (UAVs), belonging to the field of nuclear power plant thermal discharge monitoring technology. This invention uses a UAV equipped with a far-infrared thermal imaging payload and a lidar payload to acquire dual-band thermal infrared images and underwater thermocline depth data. Multi-scale spatial texture features are extracted and temporally compressed. The initial supplementary intensity coefficient is determined by calculating the jitter function value of the feature patterns. The compression retention rate and supplementary intensity coefficient are dynamically adjusted through adaptive balancing iteration. After three-level supplementation processing of the temporally compressed features, they are input into the three-branch structure of a streaming temperature field inversion model for weighted fusion. The three-dimensional temperature field distribution is inverted by combining the underwater thermocline depth data, and the monitoring sampling frequency is adjusted according to the temperature gradient value. This solves the technical problem of balancing temperature field inversion accuracy and data transmission efficiency under streaming transmission conditions.