9results about How to "Accurate emissions" patented technology

An intelligent control method, equipment and medium based on a flue gas desulfurization process belong to the technical field of dry and semi-dry desulfurization, solve the problem of how to improve the working condition adaptability of dry and semi-dry desulfurization processes, and comprise the following steps: a feedforward prediction step: based on historical operation data, predicting the theoretical addition amount of a desulfurizer through a feedforward prediction model; a feedback correction step: dynamically correcting the theoretical addition amount of the desulfurizing agent based on the real-time SO2 concentration deviation, obtaining the final addition amount of the final desulfurizing agent, executing the final addition amount, and performing secondary correction according to the execution result; a model iteration step: continuously optimizing the feedforward prediction model based on incremental data generated in a system operation process; according to the method, the deviation mode is analyzed by verifying the outlet SO2 concentration data in real time, secondary correction is executed, correction strategies are customized for various complex working conditions, the working condition adaptability of dry-method and semi-dry-method desulfurization processes is effectively improved, and accurate prediction and real-time control of the SO2 emission concentration are guaranteed.

The utility model provides a mortar fluidity detection device. The mortar fluidity detection device comprises a support frame, a mixing assembly and a measuring assembly, the supporting frame is provided with a table board extending in the horizontal plane. The mixing assembly is movably mounted on the supporting frame and is suitable for stirring raw materials to obtain mortar; and the measuring assembly is mounted on the supporting frame and is suitable for receiving the mortar from the mixing assembly and uniformly discharging the mortar to the table board so as to obtain the expansion degree of the mortar which is completely spread and is in a static state, and the fluidity of the mortar is evaluated according to the expansion degree.

This invention discloses a carbon emission data quality early warning method and system based on big data. The early warning method includes the following steps: collecting and preprocessing carbon emission data from enterprises and actual emissions; calculating the theoretical total carbon emissions of a single enterprise based on the enterprise carbon emission data; calculating the theoretical specific content of carbon emission types at each stage based on the theoretical total carbon emissions of a single enterprise, and issuing an early warning if the specific content of a certain type exceeds the industry standard; detecting the actual carbon emission type content and total carbon emissions of a single enterprise at each stage, comparing them with the industry standard, and issuing an early warning if they exceed the standard; calculating the difference between the actual monitored carbon emissions in the control area and the area's carbon emission standard, and the difference between the carbon emission type content and the type standard, and issuing an early warning if they exceed the standard; providing an early warning record for the area based on the early warning information; calculating a carbon emission reduction potential index to assess the degree of carbon emission reduction after the early warning enterprise takes measures. This invention provides early warning information from multiple aspects of carbon emissions, making carbon emission early warning more accurate.

This utility model discloses an automatic separation and collection device for heavy debris in an airflow conveying system, relating to the technical field of airflow separation equipment. The separation body includes a cylindrical cavity with a conical guide hood at the top. A spiral feed plate is located between the outer side of the guide hood and the inner wall of the cavity. A feed pipe is located on one side of the upper part of the cavity, a discharge pipe is located at the top of the cavity, and a discharge port is located at the bottom of the cavity. Corn fibers, being lightweight and highly susceptible to airflow, move upwards more easily with the airflow, while heavy debris, due to gravity and centrifugal force, tends to sink closer to the inner wall of the cavity, significantly improving the initial separation efficiency and reducing the mutual entanglement of corn fibers and heavy debris.

This invention relates to the field of water purification and filtration technology, and discloses a water purification and filtration unit based on a scale inhibitor. The unit includes a body, with an inlet pipe at the top and a purified water drain pipe and a wastewater drain pipe at the bottom. Control valves are installed on both the purified water and wastewater drain pipes. A fixing ring and a baffle are fixed to the inner top of the body. This invention achieves intelligent adjustment of the scale inhibitor's packing density through a baffle design. It automatically removes surface-adhered impurities using the reverse flushing action of water flow. The entire process is completed automatically by a mechanical structure, requiring no additional energy or chemical cleaning agents. This maintains the scale inhibitor's optimal working condition and significantly extends its service life. The dual-pipe design for purified and wastewater ensures precise discharge, guaranteeing that impurities and wastewater are completely discharged through dedicated pipes, avoiding cross-contamination.

The application provides an auxiliary calculation method for industrial user comprehensive energy carbon emission based on a space-time correlation matrix, a virtual sensor array is constructed by fully utilizing the power metering instrument which has been scaled and arranged in a factory, and non-electric energy metering instruments do not need to be purchased, installed and transformed; based on the space-time correlation matrix mathematical model which is bound to the physical prior constraint of a production process, the low-frequency non-electric energy cumulative consumption of an hour and a day is reconstructed into the minute-granularity instantaneous non-electric energy consumption time sequence which is synchronous with the high-frequency electric active power, the lag defect of traditional carbon emission accounting is solved, and real-time energy-saving intervention in a production process and accurate carbon emission abnormality tracing are realized.

The application relates to a hydrogen emission amount acquisition method and device, computer equipment, a medium and a product. Current data and valve data of an electric pile are acquired, a first hydrogen amount actually participating in a reaction is calculated based on the current data, a second hydrogen amount injected into the electric pile is calculated based on the valve data, and the hydrogen emission amount is acquired according to the first hydrogen amount and the second hydrogen amount. The hydrogen amount injected into the electric pile and the air amount actually participating in the power generation can be accurately calculated, and the hydrogen emission amount can be accurately obtained.

This invention discloses a method, apparatus, equipment, medium, and product for calculating community carbon emissions by responsible users. The method includes: determining the calculation boundary of community carbon emissions based on different sources of carbon emissions, including building carbon emissions, public facility carbon emissions, carbon reductions from renewable energy sources, carbon sinks in green spaces, and carbon trading; calculating the building carbon emissions, public facility carbon emissions, carbon reductions from renewable energy sources, carbon sinks in green spaces, and carbon trading of responsible users separately, and allocating them to responsible users; and calculating the community carbon emissions of responsible users based on their building carbon emissions and the allocated public facility carbon emissions, carbon reductions from renewable energy sources, carbon sinks in green spaces, and carbon trading. This invention clearly defines the calculation boundary of community carbon emissions, enabling accurate calculation of carbon emissions by responsible users through a rule of total amount calculation and redistribution to households, even if carbon emissions cannot be directly measured by the user. This supports accurate traceability of carbon emission responsibility in the future.

This application provides a method and system for predicting carbon emissions throughout the entire lifecycle of a substation. The prediction method divides the carbon emissions throughout the substation's lifecycle into an installation phase and an operation phase. The first type of multi-source data corresponding to the installation phase includes periodic fluctuation data and causal correlation data, while the second type of multi-source data corresponding to the operation phase includes node status data and environmental correlation data. A carbon emission prediction model is constructed, comprising sub-models for the installation phase and the operation phase. The installation phase sub-model includes a VMD-LSTM module and a causal interaction module to obtain the predicted total carbon emissions for the installation phase. The operation phase sub-model uses a graph neural network structure to obtain the predicted total carbon emissions for the operation phase. Combining the predicted total carbon emissions for the installation phase and the operation phase, the total predicted carbon emissions for the entire substation's lifecycle are obtained and output. This application enables accurate prediction of carbon emissions throughout the entire lifecycle of a substation.