51 results about "Rural environment" patented technology

The invention relates to the technical field of environment monitoring, in particular to an intelligent digital rural environment monitoring system and method based on big data, and the system comprises a layered water potential collection module, a gradient reverse correction module, a path inversion modeling module and a multi-dimensional diffusion modeling module, and the layered water potential collection module calculates and generates rural soil environment monitoring data; the rural soil environment monitoring data comprises layered soil water potential distribution, soil water content gradient and a soil conductivity characteristic value, and the soil water potential abnormal flow data comprises a vertical water potential difference value, an abnormal water flow direction vector and a water flow intensity grade; the moisture permeation path distribution diagram comprises a permeation path distribution structure, a soil water potential accumulation interval and a water flow propagation direction identifier, and the diffusion boundary space model comprises a pollutant diffusion boundary range, a moisture transverse migration region and multi-dimensional diffusion rate distribution. According to the scheme, the abnormal distribution range, the duration time and the development trend are quantitatively described, and the research and judgment accuracy of the abnormal penetration and diffusion process is improved.

The invention relates to the technical field of household garbage treatment, in particular to a rural household garbage classification and resourceful treatment circulation system, which comprises straw, harmful garbage, recyclable garbage, kitchen garbage, large household garbage and sludge; the rural household garbage treatment system comprises a household garbage classification system, a household garbage pyrolysis treatment system, a household garbage recycling treatment system, a harmful garbage recycling treatment system, a kitchen garbage recycling treatment system, a large household garbage classification recycling treatment system and a sludge recycling treatment system. By means of a centralized treatment mode of the rural domestic garbage, the problem that landfill of the rural domestic garbage is difficult is solved, corresponding economic value is brought to the rural area, the idea of waste utilization, circular economy, energy conservation and emission reduction is achieved, the rural environment is better, and the economic benefit of the rural area is improved. And a solid foundation is laid for creating a high-quality living environment in rural areas.

The invention relates to the technical field of livable degree evaluation, and particularly discloses a rural livable degree evaluation method based on multi-source heterogeneous data, and the method comprises the steps: dividing a rural region into n monitoring regions, obtaining the multi-source environment data of each monitoring sub-region, and carrying out the standardization processing, analyzing a rural environment quality index, a rural living environment comfort index and a rural environment health guarantee degree index of each monitoring sub-region based on the rural ecological environment data, the rural living environment data and the rural environment health data, and performing grade evaluation analysis on each index; calculating to obtain a rural environment livable degree evaluation index of each monitored sub-region by constructing a rural environment livable degree evaluation index model, and evaluating the rural environment livable degree; by integrating multi-source heterogeneous data, a scientific rural environment livable degree evaluation method is provided, and powerful technical support is provided for promoting rural sustainable development.

The invention relates to a rural environment comprehensive improvement system and method based on an ecological water treatment technology, and the system comprises a sewage pretreatment module, an ecological treatment module, a recycling module and an intelligent monitoring module. The sewage pretreatment module collects and pretreats rural non-point source pollution runoff to obtain pretreated sewage and agricultural waste. The ecological treatment module is used for treating the pretreated sewage by utilizing a multi-stage constructed wetland and a bio-membrane reactor to obtain precipitated sludge and reclaimed water. And the recycling module is used for recycling the precipitated sludge, agricultural wastes and reclaimed water to obtain a fertilizer, biochar and recyclable water resources. And the intelligent monitoring module is used for monitoring and regulating each module. Rural sewage can be efficiently treated, resource utilization is achieved, and the operation efficiency and stability of the system are improved.

The invention discloses an agricultural rural environment automatic control method based on carbon and nitrogen collaborative emission control, which comprises the following steps: acquiring carbon and nitrogen collaborative emission data in an agricultural rural production process and a domestic waste resource utilization process, and collecting carbon content information in soil and air; fusing the carbon-nitrogen collaborative emission data and the carbon content information in the soil and the air to generate a unified carbon-nitrogen collaborative emission data set; according to crop types and seasonal changes, establishing a carbon-nitrogen collaborative emission dynamic adjustment model, and judging carbon-nitrogen collaborative emission rules in different crop growth cycles by combining climate conditions, soil properties and farming modes; according to a carbon-nitrogen collaborative emission rule, adopting a machine learning algorithm to train a carbon-nitrogen collaborative emission prediction model, inputting a carbon-nitrogen collaborative emission data set, and outputting a carbon-nitrogen collaborative emission prediction value in a future time period; and according to a prediction result, dynamically adjusting a carbon-nitrogen cooperative emission standard, and generating a management and control scheme adapted to different crop types and seasonal changes.

The invention relates to the technical field of buildings, in particular to a style and feature fusion design method for a building roof photovoltaic system. The method aims at overcoming the defects that in the design process of an existing roof photovoltaic system, multi-dimensional requirements such as style, appearance, economy and safety cannot be quantified and unified, and the design period is long and the landing difficulty is large due to the fact that design and modeling links are disjointed and separated. According to the method, traditional fuzzy requirements of building style and appearance coordination, visual influence, landscape sensitivity and the like depending on subjective experience are converted into calculable parameters based on objective data, a scientific and unified evaluation criterion is provided for a design scheme, dependence on artificial experience is reduced, and standardization and efficiency of an approval process are improved; the invention aims to shorten the design period and guarantee the technical feasibility, economic rationality and style compliance of an existing building roof photovoltaic installation project in a complex urban and rural environment, especially in a style sensitive area.

The invention is suitable for the technical field of environment management, and provides a rural environment data block chain evidence storage method based on multi-source verification, and the method comprises the following steps: determining an unmanned plane inspection plan and a grid member inspection plan based on historical evidence storage data; monitoring station data are received and analyzed in real time, and when the monitoring station is abnormal, an abnormality detection order sending announcement is sent, so that grid members or villagers can carry out detection; receiving unmanned aerial vehicle inspection data, grid member inspection data and villager uploading data, wherein each source data is marked with an environment project, acquisition time and place; performing cross validation on the monitoring station data of each time window based on the unmanned aerial vehicle inspection data, the grid member inspection data and the villager uploading data, and determining the data credibility; and determining block evidence storage data according to the data credibility and the corresponding multi-source environment data, and performing uplink evidence storage on the block evidence storage data. According to the invention, multi-source cross validation is carried out, and the accuracy and reliability of environmental data are improved.

The invention provides a rural black and odorous water body monitoring system based on artificial intelligence and an early warning method thereof, and the system comprises a shell with an inner cavity, and also comprises a floating block, a telescopic detection assembly, a monitoring assembly, a micro heating assembly, an electric energy module and a control module; the method comprises the following steps: arranging the device at a monitored water body; a BP (Back Propagat ion, BP) artificial neural network model is constructed at an evaluation and early warning end, the model is trained and verified by using a training set and a verification set, and after optimization and adjustment, a rural black and odorous water current situation evaluation and trend early warning model based on the BP artificial neural network is established; the water monitoring data are utilized to evaluate the current situation of the water, predict the future change trend and display the future change trend on the information display platform. The system is easy and convenient to operate and stable, water depth self-measurement, sampling point position self-adjustment, self-heating deicing in winter and instrument self-protection and self-cleaning can be achieved, the system is used for monitoring and early warning of rural black and odorous water, and the rural environment supervision capacity is improved.

The invention provides a photovoltaic light supplement lamp suitable for a field environment, the photovoltaic light supplement lamp comprises a lamp pole, an LED lamp assembly and a photovoltaic panel assembly, the photovoltaic panel assembly comprises a telescopic frame and a plurality of solar cell panels installed on the telescopic frame, and the telescopic frame comprises a hinge frame formed by sequentially hinging a plurality of hinge frames; the fixing sleeve is coaxially fixed on the lamp pole, and a solar cell panel is fixedly mounted on each of the side surfaces of two connecting rods at the upper part of the hinge frame; one end of the hinge frame is hinged to the mandrel on the outer side wall of the fixing sleeve, and the other end of the hinge frame horizontally extends out in a cantilever mode; one end of the telescopic assembly is installed on the fixing sleeve, the other end of the telescopic assembly is connected with one hinge point of the hinge frame in the telescopic direction, and the telescopic assembly can drive the hinge frame to stretch through one hinge point in the stretching process so that the included angle between the two adjacent solar cell panels can be increased. The LED light supplement lamp can provide continuous power supply for the field LED light supplement lamp, and has good heat dissipation performance.

The invention belongs to the technical field of rural ecological environment monitoring, and provides a multi-terminal intelligent rural environment monitoring system which comprises a rural environment data construction module, a rural environment data classification module, an environment monitoring point setting module, a pollution point location training data collection module, an environment data analysis module and an environment change prediction module. All the modules are electrically connected; according to the invention, the environment change prediction information is obtained according to the environment monitoring graph, insufficient and abnormal conditions can be found in time, the labor intensity of workers is reduced, the workers can conveniently maintain the rural environment according to the environment change prediction information, and the monitoring and maintenance efficiency of the rural environment can be improved; and meanwhile, the influence of human factors on rural environment data analysis can be effectively reduced by utilizing the data analysis model, so that the accuracy of a rural environment analysis result is improved.

The present invention discloses an automated control method for the rural agricultural environment based on the co-control of carbon and nitrogen emissions, including: obtaining the co-emission data of carbon and nitrogen during the agricultural and rural production process and the resource utilization process of domestic waste, and collecting the carbon content information in the soil and air; fusing the co-emission data of carbon and nitrogen, and the carbon content information in the soil and air to generate a unified co-emission dataset of carbon and nitrogen; establishing a dynamic adjustment model for the co-emission of carbon and nitrogen according to the crop type and seasonal changes, and combining with climate conditions, soil properties and tillage methods to judge the co-emission law of carbon and nitrogen during different crop growth cycles; according to the co-emission law of carbon and nitrogen, using machine learning algorithms to train a co-emission prediction model of carbon and nitrogen, inputting the co-emission dataset of carbon and nitrogen, and outputting the predicted value of the co-emission of carbon and nitrogen in the future time period; according to the prediction results, dynamically adjusting the co-emission standards of carbon and nitrogen to generate a control plan adapted to different crop types and seasonal changes.

This invention relates to the field of environmental monitoring technology, specifically to a smart digital rural environmental monitoring system and method based on big data. The system includes a stratified water potential acquisition module, a gradient inversion correction module, a path inversion modeling module, and a multidimensional diffusion modeling module. The stratified water potential acquisition module calculates and generates rural soil environmental monitoring data. This data includes stratified soil water potential distribution, soil moisture content gradient, and soil electrical conductivity characteristics. Abnormal soil water flow data includes vertical water potential difference, abnormal flow direction vector, and flow intensity level. The water infiltration path distribution map includes the infiltration path distribution structure, soil water potential accumulation intervals, and flow propagation direction indicators. The diffusion boundary space model includes the pollutant diffusion boundary range, water lateral migration area, and multidimensional diffusion rate distribution. This solution quantifies the abnormal distribution range, duration, and development trend, improving the accuracy of judging abnormal infiltration and diffusion processes.

The present invention discloses a rural environment assessment method and system based on modern human settlement environment conditions, including: collecting and acquiring rural environmental basic data and processing them to obtain a target data set; based on the target data set, sampling space clustering algorithm and spatial analysis technology to perform rural environmental characteristic zoning, extracting environmental characteristic indicators of environmental characteristic areas, using singular value decomposition method to dynamically evaluate the environmental quality status of each environmental characteristic area in time and space, and obtaining environmental quality evaluation results; establishing a rural environmental assessment early warning mechanism, performing threshold judgment on environmental quality evaluation results, and when the environmental quality indicators of a certain area exceed the preset threshold, timely warning and taking corresponding control measures, and dynamically updating the rural environmental characteristic zoning results and environmental quality evaluation results according to environmental changes. The present invention realizes the scientific zoning, comprehensive evaluation and dynamic early warning of the rural environment, and provides data support and scientific basis for rural environmental management and decision-making.

The utility model discloses a shooting device based on rural management construction, including unmanned plane, be provided with shooting assembly on the unmanned plane, shooting assembly includes fixed seat and mounting seat, the fixed seat detachable setting is at the bottom of unmanned plane, the mounting seat sets up on the fixed seat, installs and is equipped with the camera on the mounting seat, is equipped with the connecting rod on the unmanned plane and is connected, is equipped with the propeller of rotary joint on the connecting rod, is provided with locking assembly between the unmanned plane and fixed seat, locking assembly includes fixed link and fixed cover, the fixed link fixed mounting is at the bottom of unmanned plane, the fixed seat with fixed link sliding connection, one end of fixed link penetrates fixed seat, the fixed cover detachable mounting is on fixed link, to solve the technical problem that the existing device has obvious limitation when carrying out the rural environment shooting in the background art, cannot conveniently complete the shooting of the diversified topography of countryside.

1. Name of the product in this design: Graphical User Interface for Rural Environmental Monitoring in Electronic Equipment. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are: the layout of the graphical user interface elements. 4. Images or photos that best illustrate the design key points: Interface state change diagrams. 5. Purpose of the graphical user interface: Enter the username and password in the main view to enter the interface change state diagram. The interface change state diagram is the main user interface for rural environmental monitoring and management, including the air quality index monitoring section to display the air quality index, the noise index monitoring section to display the specific noise value, the environmental status indicator light section for alarms and indicator light flashing when the environment is abnormal, the environmental parameter value section to display the real-time changes of specific environmental parameters by clicking, the water quality monitoring to display water quality statistics, and the real-time data display of the real-time changes and historical curves of different environmental indicators.

A rotational force generator is for converting fluid flow energy (e.g., wind or water currents) into rotational force. This generator has blades that simultaneously rotate on their shafts and revolve around a central revolution shaft, ensuring continuous positive torque generation. This generator automatically aligns with the fluid flow direction without requiring external power or control mechanisms. Its novel and innovative gear-shifting mechanism optimizes rotation speeds, enhancing energy conversion efficiency. The generator's modular and scalable design enables practical deployment in urban and rural environments, such as roadsides, railways, and coastal areas. By eliminating friction losses and maximizing energy output, this invention significantly advances renewable energy generation for wind and hydro power applications.

The invention provides a country environment detection method based on an air pressure sensor. The country environment detection method comprises the following steps of air pressure detection, judgment of factors of current air pressure fluctuation, sulfur dioxide and sulfur trioxide detection, air pressure sensor protection, data recording and early warning. According to the invention, the atmospheric pressure sensor is arranged to monitor atmospheric pressure near a rural area factory, reasons for abnormal fluctuation of the atmospheric pressure are analyzed, air is detected through sodium hydroxide solids in the detection box, a product of sodium hydroxide reaction is detected through the raindrop sensor, and the detection result is accurate. The air pressure sensor can be controlled to be closed to protect the air pressure sensor after the sulfur dioxide and the sulfur trioxide are detected, and the situation that the service life of the air pressure sensor is shortened due to the fact that the air pressure sensor is in contact with acid gas is prevented.

The invention relates to the technical field of artificial intelligence, and discloses an urban and rural planning resource allocation optimization method based on artificial intelligence. According to the urban and rural planning resource allocation optimization method based on artificial intelligence, through automatic data acquisition and cleaning, the accuracy and consistency of the data are ensured, the information integration efficiency is improved, the future resource demand can be accurately predicted by using a trend analysis and spatial statistical method, a planner is helped to cope with the rapidly changing urban and rural environment in real time, and the planning efficiency is improved. According to the method, multi-objective optimization is carried out in combination with a genetic algorithm, cost minimization is achieved, the service coverage rate and comprehensive consideration of environmental influence are maximized, scientific and reasonable decision support is provided for urban and rural planning, resource distribution and analysis results are clearly displayed by utilizing a GIS and a data visualization tool, and the method is suitable for popularization and application. The planning scheme is more intuitive and easy to understand, and sustainable development of urban and rural integration is promoted.

The utility model discloses a rural domestic sewage treatment facility, which relates to the technical field of sewage treatment and comprises a sewage inlet pipe, an adjusting tank is fixedly mounted on one side of the sewage inlet pipe, a lifting pump is fixedly mounted on the side wall of the adjusting tank, an anoxic tank is fixedly mounted on one side of the adjusting tank, and an aerobic tank is fixedly mounted on one side of the anoxic tank. The fixed side wall of the aerobic tank is fixedly provided with an air blower, and one side of the aerobic tank is fixedly provided with an oxygen-containing mixed liquid distribution groove, the process flow is simplified, an oxygen-containing mixed liquid reflux pump is omitted, the complexity and energy consumption of the system are reduced, the flow of a lifting pump is increased, the treatment efficiency of the system is improved, and the energy consumption is saved; according to the domestic sewage treatment device, centralized collection and treatment of domestic sewage are achieved, management and maintenance are convenient, treated effluent reaches the discharge standard, the rural environment is protected, and the living quality of farmers is improved.

The invention relates to the technical field of sewage treatment, in particular to an intelligent mute type integrated reflux aeration system of distributed rural sewage treatment equipment, which comprises an aerobic reaction tank and a sedimentation tank, a submersible lift pump is arranged at the bottom in the sedimentation tank, and a water and gas distribution system is arranged at the bottom in the aerobic reaction tank. An oxygenation jet device is arranged in the aerobic reaction tank; and the input end of the oxygenation jet device is fixedly communicated with the output end of the submersible lift pump through a flexible pipeline. The submersible lift pump, the oxygenation jet device and the water and gas distribution system form an integrated backflow aeration structure, complex pipelines of traditional equipment are reduced, a sludge backflow path is shortened, gas-liquid mixing and purification coherence is improved, the treatment efficiency is improved, meanwhile, the jet aeration technology that the submersible lift pump is matched with the oxygenation jet device replaces a traditional air pump, vibration and noise of the submersible lift pump are eliminated, and the service life of the submersible lift pump is prolonged. The design of the flexible pipeline and the maintenance channel avoids pipeline resonance, reduces interference to the surroundings, and is more suitable for the rural environment.

The invention relates to the field of path optimization, in particular to a scenic spot traffic flow intelligent monitoring and guiding method and system fusing rural characteristic elements. The method comprises the following steps: acquiring a real-time traffic state and predefined rural characteristic element data through a green sensing network; carrying out online analysis on the traffic flow data, and generating semantic event data for describing a characteristic activity scene by identifying a vehicle group behavior mode; a multi-target path optimization model is constructed by taking minimization of travel time and maximization of characteristic experience as targets, semantic event data is taken as a dynamic input solving model to generate a personalized recommendation path, and then a progressive guide instruction is generated and pushed based on an information entropy theory. According to the scheme, precise perception of sustainable and high-semantic understanding of the traffic flow is realized in the rural scenic area with weak infrastructures, intelligent guidance capable of optimizing the traffic efficiency and the characteristic touring experience at the same time is output, and the problems that a traditional scheme cannot adapt to the rural environment, the characteristic scene is difficult to understand and the guidance target is single are solved.

The utility model discloses a waste organic matter compost fermenter which comprises a support, a stirrer, a rotating handle, a locking device and a rotating drum, the rotating drum is used for containing waste organic matter and arranged on the support through a bearing, the locking device is arranged on the support and used for locking the rotating drum so as to lock rotation, and the stirrer is arranged on the rotating drum. When the locking device unlocks the rotating drum, the rotating drum can rotate on the support, the stirrer is rotationally arranged in the rotating drum, the rotating handle is connected with the stirrer and drives the stirrer to rotate in the rotating drum, a solid-liquid separation plate is arranged in the rotating drum, dripping holes are formed in the solid-liquid separation plate, and waste organic matter is located on the solid-liquid separation plate. A liquid discharge pipe, an air inlet pipe and an air outlet are arranged on the rotary drum, the liquid discharge pipe is arranged below the solid-liquid separation plate, the liquid discharge pipe is used for discharging liquid fertilizer, a valve is arranged on the air inlet pipe, the air inlet pipe is used for supplying air into the rotary drum, a filter is arranged at the air outlet, the air outlet is used for discharging gas, and the filter is used for filtering the discharged gas. The waste organic matter compost fermentation barrel can convert organic waste into fertilizer, protects the environment and is suitable for the rural environment.

The utility model discloses a village ecological sound barrier along a high-speed rail, which is of a box body structure, the interior of the box body structure is filled with sound absorbing materials, the box body structure comprises a plurality of unit stainless steel columns, a plurality of buried concrete bases and a plurality of splice plate structures, and the plurality of unit stainless steel columns are used as side columns of the box body structure; the plurality of buried concrete bases are correspondingly connected to the bottom ends of the unit stainless steel columns; the plurality of splice plate structures are respectively connected between the adjacent unit stainless steel columns, each splice plate structure comprises a plurality of unit noise reduction plates which are sequentially connected through second mortise and tenon joint structures, and the sound barrier can form structures such as plate type structures and box type structures through flexible splicing and assembling between the unit stainless steel columns and the unit noise reduction plates; according to the difference between the actual elevated height and the rural distance, the number of the unit noise reduction plates on each side face of the box body structure is adjusted, and the height, the length and the thickness of the sound barrier are flexibly adjusted so as to adapt to different rural environments.

The utility model relates to the technical field of electric vehicle charging piles, and discloses a rural environment public electric vehicle charging pile which comprises a base and a charging box, a supporting column is installed above the base, installation plates are installed on the two opposite side walls of the supporting column, and a plurality of sockets distributed at equal intervals are installed on the two installation plates. And each socket is provided with a protective shell. According to the utility model, when the acrylic plate is fuzzy and the code scanning is troublesome, a rural user pulls a handle to enable the protection plate to move under the assistance of a sliding block and a sliding groove in the sliding mechanism, so that a notch can be opened, and the code scanning is convenient. At the moment, a worker can successfully scan the code through a mobile phone, and the protection plate is arranged to ensure that the two-dimensional code can be protected when the electric vehicle charging pile is placed, so that the situation that the two-dimensional code is unclear due to external influence is reduced to a certain extent.

The invention discloses a method and system for guiding accurate delivery of rural unmanned aerial vehicles through visual identification, and the method comprises the steps: processing an original gray image to generate a gradient map, carrying out the binary segmentation of the gradient map to generate a foreground contour map, carrying out the neighborhood connected domain detection and pixel marking of the foreground contour map, and carrying out the detection of the neighborhood connected domain; dividing the effective contour point set into a starting section point set and an ending section point set, generating an interpolation contour point set, filling a dynamic shielding region based on the interpolation contour point set and a non-shielding region in the foreground contour image to generate a repaired image, and extracting a core geometric contour in the repaired image. And comparing the feature template library to obtain an effective delivery point. Therefore, the method can adapt to a rural complex environment, counteract illumination and fog and dust interference, repair dynamic shielding, accurately extract a geometric contour of a delivery point, reduce a misjudgment rate, greatly improve delivery positioning accuracy and scene robustness, do not need complex deployment, and effectively reduce rural logistics end cost.

The invention relates to the technical field of AR, in particular to a virtual reality rural environment design system based on the AR technology, which comprises a data acquisition module, a 3D modeling and digital processing module, an AR engine and interactive design module and a storage and cloud platform module. According to the virtual reality rural environment design system based on the AR technology, for culture inheritance, rural memory is awakened, the old can regain the beauty of children, young people can relieve the thinking, scattered folk custom and historical data are fused into a scene, rural veins are continued, visual historical blueprint is provided for planners in rural construction, and the rural environment design system has the advantages of being high in practicability and convenient to popularize and use. The real plot and the reciprocation style are compared, a scientific transformation scheme is made in an auxiliary mode, the trial and error cost is reduced, students can perceive indigenous knowledge in an immersive mode in the aspect of education and science popularization, and in the economic development, virtual tourism is guided in advance, and the on-site visiting willingness of tourists is motivated.

A deep learning-based method for identifying a drivable area in a rural environment comprises the following steps of S1, collecting a driving image of the rural environment by adopting a vehicle with a camera, and establishing a rural road data set; s2, building a deep learning semantic segmentation network model, wherein the deep learning semantic segmentation network model comprises a coding module, a neck module and a decoding module; s3, training a deep learning semantic segmentation model, inputting a to-be-detected target image into the network model, and obtaining a target region in the image; s4, calculating a loss function, wherein the loss function comprises a cross entropy loss function and a dice loss function; and S5, predicting and marking a drivable area. The method is used for solving the problem that the road recognition algorithm is interfered by the unclear road structure in the rural road environment, and realizing the task of stably recognizing the drivable area in the road in different light and weather. And the interference of image quality and other problems on the accuracy of identifying the drivable area is reduced.

The utility model discloses a sewage collecting and discharging device for comprehensive treatment of urban and rural environments, which comprises a collecting box, a discharging component fixedly connected to the bottom of the collecting box, a liquid inlet component arranged at the top of the collecting box, and a sealing component fixedly mounted at the top of the collecting box and comprises a fixing plate and a threaded rod. The fixed plate is fixedly installed at the top of the collecting box, the threaded rod is connected to one side of the fixed plate through threads, one end of the threaded rod is connected with a movable frame through a bearing, a sliding groove is formed in the top of the collecting box, the movable frame is connected with the sliding groove in a sliding mode, and a cleaning assembly is arranged on one side of the collecting box. According to the sewage collecting and discharging device for comprehensive treatment of urban and rural environments, through the arranged sealing assembly, a good sealing effect can be achieved, the peculiar smell of sewage cannot fly everywhere in the actual use process, and the use effect cannot be affected by the peculiar smell flying everywhere.

The invention relates to the field of monitoring and early warning, in particular to an intelligent rural environment monitoring and early warning system which comprises a sampling module used for sampling a water body in a rural environment and preparing a sample for testing; the fluid analysis module is used for analyzing the collected fluid sample and acquiring relevant characteristic parameters of the fluid by measuring the propagation speed or propagation time of the sound wave in the fluid; the data processing and evaluation module is used for receiving data of the sampling module and the fluid analysis module, processing and analyzing the data and evaluating the rural environment quality condition; and the early warning module is used for sending out an early warning signal according to a result of the data processing and evaluating module when the environment index exceeds a preset threshold value. The technical problems that the rural environment quality monitoring and early warning precision is low, the response speed is low, and the cost is high are solved. On the basis, the invention further provides an intelligent rural environment monitoring and early warning method.

Devices and methods for providing information or for providing historical information or for providing a measurement strategy for positioning an entity in a wireless communication network, in particular based on artificial intelligence or machine learning, wherein the method for providing the measurement strategy comprises receiving (202) a measurement for positioning the entity, wherein the measurement is acquired using a sample-based measurement method or a path-based measurement method, receiving (208) a message comprising context information, wherein the context information characterizes the environment of the entity, in particular an urban or rural environment, receiving (210) a message comprising motion information, wherein the motion information characterizes a movement of the entity or of a user carrying the entity, in particular walking, driving, standing still,Receiving (206) a message comprising historical information, wherein the historical information characterizes a historical performance indicator of the communication network, for example, a signal-to-noise ratio, a bandwidth size; determining (214) fused information depending on the measurement, the context information, the motion information, and the historical information, wherein the fused information characterizes a positioning environment of the entity; selecting (214) the path-based measurement method or the probe-based measurement method according to the result of analyzing the fused information; and sending (216) a message specifying the measurement strategy, in particular the use of the probe-based or the path-based method to measure a further measurement for positioning the entity.