63 results about "Surface water quality" patented technology

The invention relates to the field of water quality monitoring, and discloses a water quality on-line monitoring system based on full spectrum analysis, which comprises a full spectrum water quality analysis reference module, an equipment consistency correction module, a full spectrum water quality analysis derivative module and a quality monitoring module, wherein the reference module collects full-spectrum data through reference equipment to construct a water quality analysis reference model; the correction module uses the ResNet-C neural network to correct the spectral data difference of different devices; the derivative module combines the correction data and the reference model to realize water quality index prediction; the quality monitoring module calculates a quality evaluation coefficient through a multi-dimensional index and triggers early warning; the method is based on the Lambert-Beer theorem and the neural network architecture, solves the problems of high reagent consumption and poor equipment consistency in the traditional monitoring technology, and is suitable for real-time online monitoring of the surface water quality.

The embodiment of the invention discloses a water resource quality detection method and device applied to a water diversion project and electronic equipment. A specific implementation mode of the method comprises the following steps: performing water quality detection on a water area where a water diversion project is located to obtain an earth surface water quality data set and an underground water quality data set; constructing an earth surface data structure network according to a pre-constructed water area simulation model and an earth surface water quality data set; constructing an underground data structure network; performing water pollution detection on the water area to generate an earth surface water quality detection result set and an underground water quality detection result set; performing correlation analysis on the surface water resources and the underground water resources of the water area to generate water pollution correlation characteristics; determining a surface water pollution area and an underground water pollution area of the water area; and determining the surface water quality detection result set, the underground water quality detection result set, the surface water pollution area, the underground water pollution area and the water pollution correlation characteristics as water resource quality detection results. According to the embodiment, the accuracy of the water area overall quality detection result can be improved.

The invention relates to the technical field of surface water quality evaluation, in particular to a water quality sampling and evaluating method and device, electronic equipment and a storage medium. Secondly, for each section, constructing a detection data matrix by using a plurality of corresponding detection data vectors according to a time node sequence, and performing dimension transformation on the detection data matrix to obtain section vectors; finding a plurality of similar vectors from the plurality of water quality classes according to each section vector, and constructing the plurality of similar vectors into a reference vector group; and finally, determining the water quality grade of each section according to the reference vector group, and determining the water quality grade of the water body according to the water quality grades of the plurality of sections. According to the method, detection data of a plurality of detection items, a plurality of time nodes and a plurality of sections of the water body are integrated, the water quality of the water body is reflected objectively, few samples are needed, the construction process is simple, and the output result is more accurate and reliable.

The invention discloses an offshore water quality multi-parameter monthly dynamic monitoring method based on a remote sensing image and a random forest algorithm, which is used in the field of offshore water quality remote sensing monitoring research, and comprises the following steps: obtaining hydrometric station data and remote sensing image data of a monitoring area, and sequentially carrying out preprocessing and space-time fusion matching operation, obtaining a month-by-month water quality data set; constructing a monthly water quality monitoring model based on a random forest algorithm; training a monthly water quality monitoring model by using the monthly water quality data set to obtain a monthly water quality monitoring inversion model; and performing inversion on the remote sensing satellite image of each month by using the monthly water quality monitoring inversion model to obtain a water quality inversion spatial distribution diagram of each month. According to the method, long-time sequence, revisit, large-range and efficient dynamic monitoring can be realized, the prediction precision is high, the generalization ability is strong, and a business unit can be served to carry out related businesses such as monthly surface water quality drawing, monitoring and evaluation.

The utility model discloses a surface water quality monitoring device which comprises a base, the base comprises an L-shaped equipment platform, one end of the L-shaped equipment platform is fixedly connected with the inner wall of a weight box, the other end of the L-shaped equipment platform extends out of the weight box, a pulling mechanism is arranged at the top of the L-shaped equipment platform, and the other end of the L-shaped equipment platform is fixedly connected with a connecting seat. The other end of the rotating arm is connected with a hoisting mechanism, a floating mark is arranged at the bottom of the hoisting mechanism, and a detection mechanism is arranged on the side, away from the hoisting mechanism, of the floating mark. The utility model solves the problem in the prior art that the water quality monitoring and data acquisition are influenced because an engine or a paddle stirs and mixes substances at each level in water in the ship taking sampling and monitoring process.

The invention relates to the technical field of water quality detection, in particular to a rapid surface water quality detection device and method.The rapid surface water quality detection device comprises a shell, a water storage container, a detection container, a water pumping pipe, a first water pumping part, a three-way adjusting valve and a second water pumping part, the three-way adjusting valve is inserted into the shell, one end of the three-way adjusting valve penetrates through the water storage container, and the other end of the three-way adjusting valve penetrates through the detection container; and the other two ends are respectively communicated with the two ends of the water pumping pipe, which are positioned on the outer side of the water storage container, and are opposite in opening degree. In the use process, the three-way regulating valve is determined to be in a closed / opened state according to whether the temperature of the surface water is within the measurement range of the water quality detection sensor and whether the surface water needs to be diluted; according to the temperature difference between the surface water and the pure water in the water storage container, the opening degree of the communicating position of the three-way regulating valve and the water pumping pipe located at the water outlet end of the outer side of the water storage container is determined, so that the treatment mode can be reasonably selected according to the condition of the surface water, the operation is simple, and the detection efficiency is high.

The invention discloses a surface water resource quality dynamic prediction and early warning method. The method comprises the following steps: step 1, water quality prediction and early warning index selection; 2, classifying water quality prediction and early warning indexes; 3, dynamically predicting A-class water quality prediction and early warning indexes; 4, dynamically predicting B-type water quality prediction and early warning indexes; and 5, determining a water quality comprehensive early warning grade. According to the invention, by integrating multi-dimensional information, key water quality indexes for prediction and early warning aiming at different evaluation sections are screened out, differentiated early warning thresholds and grades aiming at different types of water quality prediction and early warning indexes are set, a modeling scheme of classified implementation is put forward, a model parameter dynamic optimization mechanism of rolling correction is established, and the accuracy of early warning is improved. A comprehensive water quality dynamic prediction and early warning method system is formed, and the core problems of poor pertinence, poor timeliness and insufficient adaptability in current surface water quality prediction and early warning are solved. And an important supporting effect is achieved on reasonable utilization and optimal configuration of water resources.

The application discloses a surface water quality prediction method based on a self-attention mechanism coupled KAN network, and steps include: S1, integrating multi-source heterogeneous water environment data of a target basin, pre-processing and multi-granularity feature engineering are performed, and a three-dimensional space-time feature tensor is constructed; S2, a composite base function library is constructed, and an optimized base function set is obtained through double sparse screening; S3, the feature tensor is divided according to three feature channels, a space-time attention network is constructed, and a global attention weight matrix is calculated; S4, the base function set and the weight matrix are fused, a KAN network is constructed and is sparsified, and an Att-KAN coupled model is formed; S5, a multi-objective loss function is established, and the coupled model is optimized and trained in stages; S6, water quality space-time prediction is completed by inputting pre-processed target data, and attribution analysis and uncertainty evaluation are carried out. The application adopts the above method, fuses the advantages of the self-attention network and the KAN network, and realizes the unity of water quality prediction precision and model transparency.

The invention relates to the technical field of surface water supervision, in particular to a water quality monitoring management platform which comprises a monitoring network and a management module. The monitoring network comprises shooting equipment deployed at each water recession path node, and planktons sensitive to pollutant response are arranged on the water recession path nodes; the monitoring network is used for acquiring plankton characteristic data on the corresponding water recession path nodes through the shooting devices; and the management module is used for outputting a pollution diffusion path probability graph according to the plankton characteristic data, generating a water quality management scheme according to the pollution diffusion path probability graph, and realizing real-time monitoring and accurate management of the surface water quality.

This application discloses a water quality assessment method and apparatus based on the quantitative grading of non-quantitative environmental pollution indicators. The method includes: screening surface water quality indicators and classifying them into direct and indirect water quality indicators; determining the assessment section and assessment period, and obtaining raw water quality concentration data for different times and sections within the assessment period; screening a predetermined number of direct water quality indicators related to indirect water quality indicators; performing PLSR regression and calculating the regression quantitative grading standard for each indirect water quality indicator; standardizing the raw detection data, the national grading standard for direct water quality indicators, and the regression quantitative grading standard for indirect water quality indicators into dimensionless values; performing PCA analysis according to the assessment period and assessment section to determine the achieved water quality environmental functional zone category; and obtaining typical water quality indicators for the section based on the PCA analysis. This method and apparatus can comprehensively consider the relationship between quantitative and non-quantitative environmental pollution indicators and the contribution of indirect indicators, making the assessment results more comprehensive and objective.

The invention discloses a self-lifting surface water sampling system and method, which are used for solving the problems of inaccurate sampling depth control and easy interference in the environments of large surge peak valley change and fast water flow rate in the existing sampling technology. Comprising the steps that the water depth is monitored in real time through a liquid level sensor on a sampling probe, and a controller dynamically controls an electric winch to collect and release a sampling cable according to the deviation between an actually measured sampling probe depth value and a preset sampling depth value, so that the probe is stabilized at the preset water depth; after the sampling depth is stable, water sample collection and water quality monitoring are performed. The system comprises a self-lifting control module, a sampling probe module, a composite cable type composite sampling pipe and a power supply communication module, wherein the self-lifting control module comprises an electric capstan, a liquid level sensor and a controller, and the sampling probe module is integrated with a surface water quality conventional five-parameter sensor module including PH, water temperature, turbidity, conductivity and dissolved oxygen. Through closed-loop feedback control, surge fluctuation and impact of high water flow speed are actively resisted, and high-precision fixed-depth sampling is ensured to be realized under complex hydrological conditions.

The invention discloses a surface reflectance and temperature fused water quality inversion method in the technical field of water environment remote sensing. The method comprises the following steps: acquiring a remote sensing image of a monitoring station within a space-time range of measured data of surface water; performing preprocessing such as atmospheric correction on the remote sensing image, extracting index data such as reflectivity and surface temperature, and establishing a basic data set of water quality remote sensing inversion; data cleaning and space-time matching are carried out on actually measured and remote sensing data, and correlation verification is carried out on remote sensing surface temperature data and actually measured water temperature data of a monitoring station; constructing a surface water environment quality inversion model and verifying the surface water environment quality inversion model based on data such as actually measured water quality indexes, reflectivity and temperature; simulating surface water quality parameters by adopting the constructed remote sensing inversion model, and visualizing a simulation result; according to the invention, by fully excavating the surface temperature information of the remote sensing satellite, higher surface water quality inversion precision is realized, and the uncertainty of water environment remote sensing is effectively reduced.

This invention relates to an intelligent continuous flow system and method for deep nitrogen and phosphorus removal from wastewater treatment plant effluent with low-activity sludge concentration. Belonging to the technical field of wastewater treatment system purification, the system is designed based on the denitrification phosphorus removal principle. It consists of a nitrification tank, three anaerobic tanks, three anoxic tanks, one aerobic tank, and a sedimentation tank. By measuring the nitrate nitrogen concentration in the effluent and precisely adding an organic carbon source, the system controls the endpoints of nitrification and denitrification reactions online. Due to its short hydraulic retention time, the system can operate at high speed and efficiency, produces no byproducts, and avoids secondary pollution. The purified water meets or exceeds Class III standards of my country's surface water quality standards. This invention provides a better technical solution for addressing the secondary eutrophication pollution caused by surface discharge of effluent from existing wastewater treatment plants and the challenges of upgrading existing wastewater treatment plants. It also has significant implications for the restoration of water quality in water source protection areas and eutrophic water bodies.

The invention relates to the technical field of environmental engineering, and particularly discloses a surface water quality improvement effect evaluation method after comprehensive treatment of a water environment, and the method comprises the steps: S1, obtaining the basic condition of a project associated with surface water, and determining an evaluation object in combination with project partitioning; s2, determining the effect of a newly built or repaired pollutant treatment system on reducing the amount of surface water pollutants by analyzing the content and implementation condition of the evaluation object; s3, analyzing and comparing the environment quality condition of the coverage area where the newly built or repaired pollutant treatment system is located to determine the environment change caused by pollutant treatment; according to the method, the implementation effect of the treatment project is determined by analyzing the pollutant reduction amount and environmental change cleaning, the surface water quality improvement condition is determined through the model, the primary and secondary pollutants in the water body are reasonably determined, and the two are combined to analyze and determine the treatment measures to improve the surface water quality. And the reasonable effect objective evaluation work can be better carried out on the comprehensive treatment of the water resource.

A surface water quality monitoring method based on a high spatial resolution satellite includes: step 1. building standard surface water quality pools by mixing natural water bodies with clean water in different proportions to obtain surface water quality data; step 2. obtaining high spatial resolution remote sensing images for processing; step 3. identifying remote sensing bands with higher correlation through correlation analysis by presetting ratio values of remote sensor data bands and the standard surface water quality pools; step 4. building a water quality parameter retrieval model, and comparing and retrieving the remote sensing bands with higher correlation and the surface water quality data to obtain water quality data; and step 5. identifying abnormal points of the water quality based on the water quality data and water quality data threshold of the surface water.

The invention provides a water quality index annual standard reaching early warning method based on a target margin and a trend line. The method comprises the following steps: firstly, collecting historical month-by-month water quality monitoring data of a section, calculating upper and lower limit extreme value lines of the same month, and drawing a multi-year monthly mean value trend line after removing outliers; calculating a target margin according to a water quality target, predicting a month-by-month index concentration early warning value after the ith month by using a trend line, and introducing parameters to calculate a comprehensive pressure index of the section. And finally, risk early warning is carried out through standard reaching condition three-level research and judgment. The method overcomes the defects that a traditional method does not consider seasonal fluctuation of water quality, lacks a dynamic correction mechanism and depends on experience judgment, comprehensively evaluates the risk that the water quality reaches the standard from multiple dimensions, enables early warning to be more scientific and accurate, can effectively assist surface water quality management decision, and improves reliability and effectiveness of water quality early warning.

The utility model discloses a surface water quality on-line monitoring sampling treatment device, which relates to the technical field of water quality detection, and comprises an outer layer filter cover and an inner layer filter cover, the top end of the outer layer filter cover is provided with a through groove, the inner layer filter cover is fixedly connected in the through groove, the bottom of the inner layer filter cover is fixedly connected with a connecting rod, and the connecting rod is fixedly connected with the through groove. The connecting rod is fixedly connected to the outer-layer filtering cover, an annular sliding way is formed in the top of the outer-layer filtering cover and surrounds the outer side of the inner-layer filtering cover, a rotating ring is rotationally arranged in the annular sliding way, and a first supporting rod is fixedly connected to the bottom of the rotating ring. According to the surface water quality online monitoring and sampling treatment device, by arranging the rotating ring, the inner scraping strip, the outer scraping strip and other structures, the inner layer filter cover and the outer layer filter cover are subjected to pushing and scraping treatment at the same time, the blockage condition is prevented, the stability of surface water quality online monitoring is improved, and the rotation of the inner scraping strip and the outer scraping strip can accelerate the flow of surface water and accelerate the sampling speed.

The utility model relates to the technical field of water quality monitoring, and provides surface water quality monitoring equipment, which comprises a detection component, a depth adjusting component and a water taking component, the water taking component is immersed in a water body to take water, the depth adjusting component is arranged on the water surface, and the depth adjusting component comprises a winding component, a driving component and a control switch. The winding assembly is connected with the water taking part through a connecting rope, the driving assembly drives the winding assembly to rotate forwards to take up the connecting rope so as to drive the water taking part to ascend, or drives the winding assembly to rotate backwards to release the connecting rope so as to enable the water taking part to descend, and the control switch is connected with the water taking part through an electric wire to open or close the water taking part; the detection part comprises a water sample container and a water quality detection element, the water taking part is communicated with a water inlet of the water sample container, a valve is arranged at a water outlet of the water sample container, and the detection part detects a water sample in the water sample container. The utility model aims to provide surface water quality monitoring equipment capable of collecting water samples of water at different depths.

The utility model discloses a water sampling device for surface water quality on-line monitoring, which relates to the technical field of water sampling devices and comprises a sampling barrel, the bottom of the sampling barrel is communicated with a connecting pipe, the bottom of the connecting pipe is communicated with a sampling cover, the inside of the sampling cover is fixedly connected with a filter plate, a threaded barrel is rotatably arranged on the filter plate, and the threaded barrel is fixedly connected with the connecting pipe. The threaded barrel extends into the connecting pipe, a cleaning box is fixedly connected to the bottom of the threaded barrel, a square groove is formed in the side wall of the cleaning box in a penetrating mode, a push strip is fixedly connected to the outer wall of the cleaning box, the push strip and the square groove are distributed correspondingly, and the push strip is attached to the lower surface of the filter plate in a sliding mode. And the interior of the threaded cylinder is in threaded connection with a first threaded rod. According to the water sampling device for online monitoring of the surface water quality, by arranging the filter plate, the cleaning box, the threaded cylinder and other structures, impurities can be filtered, meanwhile, the effects of cleaning and collecting the impurities are achieved, the sampling efficiency is improved, and therefore the effect of online monitoring of the surface water quality is improved.

1. Name of the product in this design: Intelligent System Station for Surface Water Quality Monitoring. 2. Purpose of this design: It is used for surface water quality monitoring. Equipped with a multi-parameter water quality sensor, it can continuously monitor the physical, chemical, and biological indicators of surface water 24 hours a day. Through Internet of Things technology, it transmits data to the cloud platform in real time, realizing the automation of the entire process of sampling, analysis, and uploading. 3. The key design features of this product are its structure and shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a surface water quality sampling and detecting device which comprises a positioning ring, a sampling area is arranged in the middle of the positioning ring, a plurality of external expansion claws are connected in the sampling area, a shifting part is arranged on a reset elastic structure, a sampling assembly is arranged above the sampling area, and the sampling assembly is in sliding connection with the positioning ring. And the sampling assembly slides axially to trigger the shifting piece to drive the external expansion claw to rotate. The external expansion claw is arranged on the positioning ring, and the shifting piece is triggered to move downwards by mechanical driving when the sampler slides downwards, so that the external expansion claw is driven to rotate and expand outwards, stones in a pit are pushed aside automatically, and a barrier-free water taking area is formed in the middle; and the problem that the water intake is blocked due to stone accumulation in the traditional sampling process is effectively solved.

A biologically active sorptive media is disclosed for sustainable contaminant removal in, for example, stormwater management systems. This technology addresses the technical problem of hydrophilic trace organic contaminants and dissolved-phase nutrients passing through conventional stormwater infrastructure, posing risks to groundwater and surface water quality. The biologically active sorptive media comprises a biopolymer matrix formed from alginate hydrogel, encapsulating sorbent materials (e.g., powdered activated carbon (PAC), iron-based water treatment residuals (FeWTR]), growth substrates (e.g., wood flour), and biodegrading organisms (e.g., white rot fungi). These beads enable rapid sorption of contaminants during storm events and subsequent biodegradation during inter-storm periods, renewing sorption capacity. The beads are mechanically robust, scalable, and stable for extended periods in high ionic strength solutions. Applications include bioaugmentation of green stormwater infrastructure (GSI), wastewater treatment, and bioremediation. This approach transforms GSI science by coupling sorption and biodegradation for enhanced contaminant removal.

The utility model discloses a surface water quality residual chlorine detection assembly which comprises a protection cabinet, ventilation holes are formed in the surfaces of the two sides of the protection cabinet, a rotating shaft is installed on one side of the protection cabinet, a cabinet door is movably connected to one side of the rotating shaft, and a fixing piece is fixed to the other side of the protection cabinet. Fixing frames are fixed to the two sides of the interior of the protection cabinet, and a mounting plate is fixed to one side of each fixing frame. According to the surface water quality residual chlorine detection assembly, through cooperative use of the protection cabinet, the ventilation holes, the rotating shaft and the cabinet door, a residual chlorine detector is placed in the protection cabinet during use, and the protection cabinet can protect the residual chlorine detector, so that the residual chlorine detector is prevented from being directly exposed outside and exposed to the sun and wind; the service life of the residual chlorine detector is prolonged, the residual chlorine detection of the surface water quality can be conveniently carried out for a long time, meanwhile, good ventilation in the protection cabinet is ensured through the arrangement of the ventilation holes, and the residual chlorine detector can be well cooled.

The application discloses a kind of transferable surface water quality prediction method based on representation learning, comprising: step 1, obtaining historical monitoring data to construct the data set of multi-site sequence format, the data in data set is masked to historical monitoring data Process to obtain masked data, historical monitoring data and masked data are composed training test set;Step 2, select the same total number of source domain Transformer model framework to build prediction network;Step 3, the prediction network is trained to obtain prediction model;Step 4, the water quality data collected in the station and the current day's weather data are input into the prediction model to obtain the water quality data of the source domain where the station is located.The application also provides a kind of transferable surface water quality prediction device.The method provided by the application predicts the key water quality indicators of the source domain river monitoring section by the change of water quality information of each station in the source domain, and provides more accurate and comprehensive reference for subsequent water quality management.

The invention discloses a system and a method for filtering, adsorbing, dephosphorizing, denitrifying and recovering nitrogen and phosphorus of a water body. The system is composed of a filtering device, a lifting pump, an adsorbing, dephosphorizing and phosphorus recovering device and an ion exchange denitrification and nitrogen recovering device. The device is mainly used for dephosphorization and denitrification of inferior V-type water bodies with overproof total nitrogen and total phosphorus in large rivers, lakes and reservoirs and sea areas, and water quality is improved, so that the water quality reaches surface III-type or II-type water quality in Environmental Quality Standards for Surface Water (GB3838-2002). According to the present invention, after the system is adopted to perform phosphorus removal and nitrogen removal purification on the water body of the large river, the CODCr of the effluent is less than or equal to 15 mg / L, the BOD5 is less than or equal to 4 mg / L, the phosphorus is less than or equal to 0.1 mg / L, the ammonia nitrogen is less than or equal to 0.5 mg / L, the total nitrogen is less than or equal to 0.5 mg / L, and the pH value is 6-9, and after the nitrogen removal and phosphorus removal purification is performed on the water body of the lake reservoir and the sea area, the CODCr of the effluent is less than or equal to 15 mg / L, the BOD5 is less than or equal to 4 mg / L, the phosphorus is less than or equal to 0.025 mg / L, the ammonia nitrogen is less than or equal to 0.5 mg / L, the total nitrogen

The invention discloses a method for measuring the content of chlorophyll a of microcystis aeruginosa in water, and belongs to the technical field of environmental monitoring and water treatment. The method comprises the following steps: filtering algae in water by adopting a mixed cellulose ester membrane, soaking the filtered filter membrane in absolute ethyl alcohol, then carrying out ultrasonic treatment under the conditions of ice bath and darkness, centrifuging the obtained extracting solution to obtain supernate, measuring the absorbance of the supernate by using an ultraviolet spectrophotometer by taking absolute ethyl alcohol as a reference, and calculating the content of the algae in the water according to the absorbance of the supernate. And calculating the content of chlorophyll a in the algae. The method has the advantages of accurate and stable determination result, good reproducibility, safety, environmental protection, short test time, less required equipment and low test cost. The method is expected to be widely applied to conventional online monitoring of surface water quality, water eutrophication evaluation and the like in the future.

1. Name of the product in this design: Electronic device with graphical user interface of digital integrated platform for urban governance with multimodality. 2. Purpose of this design: For running programs and displaying information. 3. The key design feature of this product lies in the graphical user interface on the screen. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The display screen panel adopts the conventional design, omitting the rear view, left view, right view, top view, and bottom view. 6. Applications of the graphical user interface: This interface is designed for various application scenarios such as daily management, data monitoring, and data display. 7. Human-computer interaction method of graphical user interface: The main view is the main interface, which shows the daily mode of the platform. The upper left corner shows the air quality, displaying the values ​​of PM2.5, negative oxygen ions and AQI index of the current scenic area. The air quality chart is shown to the right of the surface water quality chart, displaying the water quality within the area. The second row from the left of the main view is a bar chart of total GDP, divided into four quarters; the lower left of the main view is a bar chart of operating revenue of major scenic spots, also divided into four quarters; the middle part of the main view is a digital image and text library, where you can filter and view images, texts, and videos of scenic spots; the first cell on the right of the main view is a basic introduction to the Academician Center; the second cell on the right of the main view is a list of key projects; the upper right corner of the main view can switch to emergency mode, click to enter interface change state diagram 1; in interface change state diagram 1, the upper left side is the typhoon path, showing the typhoon path information in emergency mode; the lower left side is the rainfall warning, showing the areal rainfall every 5 minutes and every two hours; the upper center of interface change state diagram 1 is key monitoring, where you can view real-time monitoring and video playback of key locations, and the lower center is the areal rainfall for the past few days; the upper right of interface change state diagram 1 is reservoir and river information, including reservoir water conditions and river water conditions; the lower right of interface change state diagram 1 is meteorological disaster warning. The top right corner allows you to switch to holiday mode. Clicking this will take you to interface state diagram 2. In interface state diagram 2, the upper left displays population information, and the lower left displays traffic information, showing a traffic heat map or tourist heat map. The second column displays visitor flow, showing the cumulative daily visitor flow and current visitor flow, with a ranking list of visitor flow at the bottom. The third column displays parking information, showing the occupancy rate and status of all parking lots within the scenic area. The far right displays time-segmented data, including real-time visitor flow, 7-day visitor flow, and parking data, with rail transit information below, showing a bar chart of passenger flow entering and exiting nearby subway stations. The top right corner allows you to switch to AI mode. Clicking this will take you to interface state diagram 3, where you can use AI intelligent analysis to view analysis reports on key information within the scenic area. 8. Other situations requiring explanation: Other explanations: Single color blocks in the main view, interface change state diagram 1, interface change state diagram 2, and interface change state diagram 3 may be variable or belong to content screens.

The invention discloses a multi-parameter long-sequence drainage basin surface water quality monitoring and evaluation method and device, electronic equipment and a computer readable storage medium. The multi-parameter long-sequence basin surface water quality monitoring evaluation method comprises the following steps: collecting basin basic information of a to-be-monitored river, establishing a basin upstream and downstream relation graph, determining to-be-monitored water quality section information, and photographing and recording section surrounding environment information during sampling; the rationality of the sampled water quality monitoring data is judged through anion-cation balance calculation analysis and three-nitrogen relation and three-oxygen relation rationality check; selecting one or more methods to evaluate the input water quality monitoring data, and combining an evaluation result with the sampled water quality data to generate a report; and performing upstream and downstream synchronous analysis on the pollution parameter mutation point according to the evaluation result, and immediately starting a water pollution emergency monitoring plan when the parameter exceeds the standard. Water resource pollution and quality conditions are dynamically known, emergency plan treatment intervention is started according to the conditions, and the water pollution problem is solved in time.

The application discloses a kind of based on inflection point water quality category change online identification method, system, equipment and medium, comprising the following steps: selecting surface water quality historical monitoring sequence to carry out spectrum deconstruction, extract dominant period characteristic, determine dynamic analysis window;In dynamic analysis window, obtain water quality continuous monitoring time series, carry out multi-scale structure separation, obtain change trend time series;Change trend time series is mapped to interval, and obtain discrete water quality category time sequence;Binary state hidden Markov model is constructed, and hidden state transition trajectory is inferred by probability propagation mechanism;In hidden state transition trajectory, anchor mutation point, based on water quality category data in the time window before and after mutation, extract dominant water quality category state before and after mutation point;Determine whether the mutation point is the inflection point of the radical change of water quality grade jump, and trigger semantic water quality alarm information labeling based on the determination result.The application can identify water quality category change inflection point in real time and accurately.