6 results about "Environmental degradation" patented technology

The invention discloses a rural historical building protection evaluation system based on big data, and relates to the technical field of building protection. Comprising the following steps: a data processing module normalizes environmental data to generate an environmental degradation factor, extracts a crack depth parameter and a facade weathering parameter from structure detection data through a feature extraction algorithm, and generates a building life attenuation curve through correlation analysis; and the decision module establishes a maintenance optimization model according to the building life attenuation curve and historical maintenance data, generates a risk level through threshold comparison, evaluates expected effects of different maintenance modes on degradation delay, and outputs an optimal maintenance suggestion. According to the method, accurate prediction of the rural historical building degradation process and optimal recommendation of the maintenance strategy are realized, and the scientificity and efficiency of protection work are improved.

The application discloses a kind of environment data real-time monitoring and analysis method and system for planting field, it is related to agricultural planting technical field, it aims at solving the technical problems that existing technology cannot monitor environmental data implicit change, it is difficult to comprehensively analyze multi-source data, problem diagnosis and processing are not accurate, including the following steps: S1: the planting environment data of planting field is monitored in real time, and the water quality data, soil physicochemical data, soil microbial data, crop image data corresponding to different positions are obtained;S2: the above four kinds of data are arranged according to time sequence respectively, and water quality data change curve, soil physicochemical data change curve, soil microbial data change curve, crop image data change curve are generated;S3: the above four kinds of data change curve are scored according to corresponding parameter respectively, the present application can accurately judge the deterioration condition and position of environment by real-time acquisition of multi-source planting field environment data, solve the monitoring problem of prior art.

The invention discloses a self-positioning method for resisting bumping and environmental degradation without satellite navigation. The method comprises the following steps: firstly, extracting a bumping and distortion resistant robustness fusion feature element of a multi-source sensor; then, mismatching in feature matching is eliminated through semantic information constraint, and environmental vision and geometric feature degradation caused by severe weather and bumping vibration is overcome; meanwhile, adaptively judging whether the environmental characteristics are seriously degraded or not by analyzing the characteristic values of the observation matrix, and accurately positioning through pose estimation based on motion manifold in a scene in which the serious environmental characteristics are degraded and characteristic matching cannot be performed; when the environmental characteristics do not degrade seriously, the SLAM optimization framework based on the continuous time trajectory is adopted for accurate positioning. According to the method, the intelligent mobile robot or the unmanned vehicle can complete accurate self-positioning in a complex field environment without satellite navigation, bumping and vibration and environment degradation.

Solid waste management is a pressing environmental issue due to rapid urbanization and population growth. Researchers are turning to organic farming as a solution to resource depletion. Disposing of sewage sludge can lead to environmental degradation and the spread of diseases. Developing a cost-effective phosphate fertilizer from sewage sludge would benefit water and sewage companies, as well as farmers and agricultural companies. Producing a low-cost phosphate fertilizer from sewage sludge with sonoleaching method, could address environmental pollution and provide economic benefits.

The application discloses a kind of wetland environmental degradation identification processing methods based on remote sensing image monitoring, method includes: obtaining original remote sensing image including multi-temporal data and pre-processing, through different time nodes different wave band remote sensing image, capture dynamic wetland environmental change, truly reflect wetland condition;Based on texture feature and spectral feature combination image between each region texture boundary transition clear value to the remote sensing image after pre-processing is implemented regional growth segmentation, obtain local area image, feature extraction result is combined by texture feature and spectral feature, so that subsequent image segmentation processing can take into account details and overall structure;Finally, based on local area image by pre-trained wetland degradation detection model is analyzed, obtains the type of each local area image, provides accurate data basis for the detection and remedy of wetland degradation.

The invention provides a monitoring and early warning method for rapid and accurate traceability, and relates to the technical field of deep traceability of environmental pollution problems. The method comprises the following steps: acquiring enterprise condition monitoring data through edge layer monitoring equipment, and acquiring regional environment condition monitoring data and enterprise attribute information through cloud equipment; obtaining alarm information; screening associated enterprises, and determining traceability range influence values and wind field influence values of the associated enterprises; obtaining a risk database score of the associated enterprise; determining the influence value of the in-production enterprise of the associated enterprise; determining the multi-link verification credibility in the enterprise; obtaining a comprehensive influence value of the in-production enterprise; and determining the risk level of the associated enterprise. According to the invention, a multi-source data fusion and cloud edge cooperative driving cross-scale multi-stage traceability system can be constructed, accurate positioning and rapid response of pollution sources from areas to enterprises and workshops are realized, environmental deterioration reasons and responsibility sources are determined in time, and scientific support is provided for emergency disposal of atmospheric events and improvement of air quality.