15 results about "Pollution index" patented technology

The application discloses a water quality and soil detection and analysis method and system based on multi-standard automatic evaluation and belongs to the technical field of environmental monitoring data processing. The system comprises a data import module, an intelligent identification module, a batch sample processing module, a multi-standard evaluation module, a comprehensive analysis module, a water chemistry verification module and a result output module. The system automatically analyzes the Excel table structure through an intelligent identification algorithm, extracts index names, units, detection results and background values, supports batch sample format identification, can analyze multiple samples at a time, integrates three environmental quality standards of underground water GB / T 14848-2017, surface water GB 3838-2002 and soil GB 36600-2018, automatically performs quality classification evaluation, calculates single pollution index P i , exceeding multiple, Nemerow comprehensive pollution index P N , performs water chemistry anion and cation balance verification, Shukarev classification, TDS and hardness checking, and supports single sample and batch sample export and summary table generation. The application solves the problems of weak Excel data recognition ability, batch sample processing difficulty, lack of multi-standard automatic switching, single comprehensive evaluation method and insufficient data quality checking in the prior art, and greatly improves the efficiency and accuracy of detection data analysis.

This invention relates to the field of drilling fluid testing equipment technology, specifically to an evaluation device and method for simulating the dynamic pollution of drilling fluids by CO2. The evaluation device includes a sealed pressure vessel, an injection assembly, a circulation system, a control module, a CO2 injection volume detection module, a first monitoring module, a second monitoring module, and an information processing and analysis system. The information processing and analysis system can establish a first evaluation model based on drilling fluid performance parameters before and after pollution, establish a second evaluation model related to CO2 consumption based on drilling fluid pollution index parameters, and establish an overall pollution degree evaluation model related to CO2 injection pressure, pollution time, and pollution temperature based on the first and second evaluation models. The evaluation device of this invention can achieve a comprehensive and dynamic assessment of the CO2 pollution process of drilling fluids and can simulate the complex effects of CO2 on drilling fluids under real-world pollution conditions.

The application discloses an environmental protection equipment monitoring system and method based on data analysis, relates to the technical field of environmental protection equipment monitoring, and acquires distributed points of environmental protection equipment in a region, records real-time environmental pollution monitoring data of the environmental protection equipment, analyzes real-time environmental pollution index of the environmental protection equipment, and constructs a period pollution index curve; curvature synchronous analysis is conducted on each period pollution index curve, period correlation environmental protection equipment is determined, parameter vector construction is conducted on a period risk pollution index, and correlation strength between the period correlation environmental protection equipment is analyzed, so that homologous correlation environmental protection equipment is acquired; pollution index deviation analysis is conducted on the homologous correlation environmental protection equipment through construction of a plane vector distribution map, pollution sources are positioned according to analysis data, and pollution distribution states are output; the application realizes correlation analysis on environmental data of the environmental protection equipment, improves the monitoring performance of the environmental protection equipment, realizes accurate positioning of environmental pollution, and improves the traditional monitoring ambiguity and hysteresis.

The application discloses a kind of electrostatic dust concentration measurement method and system based on spectrum analysis, belong to dust concentration measurement technical field, the present application is based on traditional electrostatic induction measurement method, by deep mining spectrum information, electrode pollution spectrum diagnosis and self-healing are realized, quantitative evaluation pollution index and realize signal reconstruction, non-steady-state condition adaptive measurement, dynamic adjustment analysis window and directly output mass flow, life cycle management, measurement precision is significantly improved.

The present application relates to the technical field of pollution monitoring, in particular to a pollution source monitoring method and system based on multi-source data acquisition and analysis. The present application first analyzes and obtains fluctuation characteristic parameters of each pollution index, and obtains a working condition correlation coefficient of each pollution index by combining historical time sequence change correlation between emission data under each pollution index and working condition data under each working condition index. Then, by combining short-term change characteristics of emission data under the pollution index and working condition data under the working condition index at the current monitoring moment, an abnormal state coefficient under each pollution index is evaluated to perform abnormal emission early warning. The present application first quantifies the response sensitivity of the pollution index to the working condition change, further quantifies the working condition correlation of the pollution index, and then analyzes the working condition correlation of the pollution index at the current monitoring moment, accurately evaluates the abnormal emission behavior of the pollution source not meeting the working condition, and improves the monitoring accuracy of the pollution source.

This invention relates to a method, system, equipment, and medium for dynamic estimation of wastewater COD components based on sludge properties. It includes: correlating and fusing organic pollution index data with process operation data to generate a contextual feature vector; pairing and fusing a COD component baseline ratio vector with the contextual feature vector to generate a preliminary COD component time series; obtaining the ratio of biodegradable COD to total COD in the sludge sample based on sludge property analysis data; using this ratio as a sludge property constraint parameter, combined with the analytical relationship constraints of the wastewater under test during the wastewater treatment process, to perform constraint optimization and error redistribution processing on the preliminary COD component time series, thereby obtaining the dynamic estimation result of the COD components of the wastewater under test. This invention achieves high-frequency, dynamic, and physically reasonable estimation of wastewater COD components, avoiding the unidirectional accumulation of errors towards inert components and improving the accuracy of the estimation results.

This invention relates to an automatic grading and quality-classification treatment method and device for aquaculture wastewater, specifically as follows: Data is collected in real time using multi-parameter water quality sensors, and a dataset is constructed by labeling the water quality grading results; an ecological causal weight matrix is ​​constructed based on the aquaculture ecological coupling relationship between water quality data, and missing values ​​are filled and outliers are replaced; a two-dimensional dynamic threshold calibration is performed, and parameters are determined by combining a feature library of aquaculture species and growth stages to calculate dynamic grading thresholds; a comprehensive weight is generated by integrating the analytic hierarchy process (AHP) and ecological causal weights, and the data and thresholds are standardized; water quality grading is achieved by calculating the comprehensive pollution index and grading thresholds through weighted calculation; an XGBoost prediction model is constructed to calculate the load level and sensor drift coefficient, and sensor cleaning parameters are dynamically adjusted through a load-cleaning linkage adaptive algorithm. This invention forms a management closed loop by grading aquaculture wastewater water quality data and maintaining sensors, achieving precise monitoring and efficient equipment management.

The present application relates to the technical field of spectral analysis, in particular to a wide-area water quality real-time monitoring method, device and system based on Internet of Things. The embodiment of the present application aims at water body hyperspectral data, and obtains the absorption rate sequence of different depths of pollutants according to the reflection characteristics of different pollutants in the hyperspectral data. In order to represent the possibility of substantial pollution of water quality caused by pollutants, the similar characteristics of the absorption rate sequence of different depths of different monitoring points are analyzed, the fluctuation and change trend characteristics of the absorption rate sequence of different depths are compared, the water quality pollution coefficient is calculated, in order to represent the possibility of the current water area caused by the pollutants with fast settlement, the gradient characteristics and time distribution characteristics of the absorption rate sequence of different depths are analyzed, the starting time difference of data change is compared, and the depth pollution index is calculated. Based on the water quality pollution coefficient and the depth pollution index, the substantial pollution index is constructed, the preset judgment threshold is combined, and the water quality pollution monitoring result is output.

The application relates to the field of groundwater pollution monitoring, in particular to a groundwater pollution dynamic intelligent monitoring method and system. The method comprises the following steps: constructing and updating a groundwater solute transport model; generating a comprehensive pollution feature vector from obtained multi-source data related to groundwater pollution and containing multiple pollution indexes; respectively constructing a pollution source positioning model and a pollution diffusion model; triggering a pollution warning according to the comprehensive pollution feature vector; obtaining a pollution source position by using the pollution source positioning model according to the multi-source data and current hydrogeological data; respectively using the pollution diffusion model and the groundwater solute transport model for prediction simulation to obtain a first pollution distribution changing with time and a second pollution distribution changing with time; and weighting and fusing the first pollution distribution and the second pollution distribution to generate a predicted pollution distribution changing with time. The method solves the problems that groundwater pollution monitoring is not timely and accurate in the prior art.

This application relates to the field of smart home and building environment control technology, and discloses an adaptive control method for bathroom ventilation that combines human behavior and air pollution. It collects and preprocesses multi-source environmental data and human status data of the bathroom space through a multi-source environmental information fusion sensing system. A scene recognition and control logic core system performs dimensionless processing and scene pattern recognition on the multi-source environmental data and human status data, classifying the bathroom space status into several typical scene patterns. The scene recognition and control logic core system executes a behavior-environment coupling weighted method to calculate the target value of the environmental pollution index. Based on the target value of the environmental pollution index, the scene recognition and control logic core system outputs control commands to the variable frequency airflow execution system to adjust the speed of the variable frequency exhaust fan. This invention avoids the problems of insufficient ventilation or energy waste caused by fixed airflow control, achieving a balance between spatial environmental quality control and equipment operating energy efficiency.

An air conditioner is provided. One embodiment of the air conditioner is characterized by including: a compressor that compresses and discharges refrigerant; an indoor heat exchanger that exchanges heat between the refrigerant and indoor air; and a control unit that controls the heat exchanger cleaning process, wherein the control unit performs: a step of accumulating a pollution index of the indoor heat exchanger, taking indoor humidity and the temperature of the indoor heat exchanger as factors; and a step of comparing the accumulated pollution index with a first benchmark pollution index, wherein if the accumulated pollution index is higher than or equal to the first benchmark pollution index, the control unit performs the heat exchanger cleaning process. This effectively reduces the pollution level of the indoor heat exchanger.

The application discloses a storage medium, an on-site enterprise groundwater pollution identification method, device and equipment, and relates to the technical field of groundwater pollution identification.The method comprises the following steps: obtaining data information related to on-site enterprise pollution and screening out pollution indexes of interest; constructing an index correction equation of each online monitoring easy-to-measure index value; correcting the online monitoring easy-to-measure index value of each pollution index of interest according to the index correction equation; taking the corrected online monitoring easy-to-measure index value as an independent variable and the pollution index value of interest as a dependent variable, determining a key online monitoring easy-to-measure index and grouping the pollution index of interest through partial least squares regression and VIP analysis; after determining the installation point of the online monitoring equipment and the reference value of each online monitoring easy-to-measure index, obtaining the groundwater pollution identification result according to the reference value and the current monitoring result of the online monitoring equipment.The application can improve the accuracy and effectiveness of groundwater pollution identification, provide guidance for artificial monitoring, reduce the number of artificial monitoring projects and reduce costs.