189 results about "Subsurface drainage" patented technology

This invention disclosed a full-space intelligent detection method and system for underground drainage networks, as well as storage media, including the following steps: image acquisition, intelligent image denoising, internal pipe defect segmentation, concealed defect detection around the pipe, 3D reconstruction with volume quantification, and pipeline life prediction. This invention introduced a bionic four-wheel-drive, all-terrain detection robot that can effectively navigate through mud and flowing water-challenges that hinder traditional detection devices. By leveraging deep learning algorithms as well as various techniques of computing vision, 3D reconstruction, and point cloud processing, the system thoroughly analyzed collected data to determine defect types and precise locations. Utilizing this analysis, precise location of different defect type and quantitative measurement of their dimensions can be realized. Based on the data analysis results, a deep-learning driven model was developed for predicting pipeline longevity to support maintenance staff with timely information on pipe defects and operational lifespan.

The invention discloses an urban life body full-cycle monitoring system based on a digital twinborn technology, relates to the technical field of urban governance, integrates multi-source data such as GIS data, remote sensing information, surface permeability data and an underground drainage pipe network structure, quantifies a flood high-risk area, and provides an urban life body full-cycle monitoring system based on the digital twinborn technology. The AI flood prediction module deduces the ponding range and the drainage capacity under different rainfall situations by adopting extreme weather analogue simulation based on a historical rainfall trend, a current meteorological condition and a drainage network state, and dynamically adjusts a flood diffusion trend prediction model, so that the flood risk identification is more accurate; the intelligent emergency scheduling module automatically matches flood control resources, combines flood high-risk areas, ponding point locations and traffic flow analysis, optimizes a drainage pump station start-stop strategy, remotely regulates and controls an underground drainage gate, dynamically adjusts the overflow adjustment capability of a sewage treatment plant, and optimizes an emergency risk avoiding route in combination with an intelligent traffic management system. And the accuracy and the execution efficiency of the flood control scheduling scheme are improved.

The invention relates to the technical field of underground drainage pipeline monitoring and hidden danger analysis, and provides an underground drainage pipeline hidden danger data analysis method based on big data, which comprises the following steps: acquiring data such as flow, water level, pressure and pipeline structure by using a multi-source sensor to form an original monitoring data set; preprocessing the data, extracting time domain, frequency domain and spatial topological features, and constructing a multi-dimensional feature vector; and inputting the feature vectors into a pre-trained hidden danger prediction model, and outputting hidden danger types and position coordinates. And constructing a spatio-temporal data analysis model based on the hidden danger position, generating a spatio-temporal correlation feature matrix, and performing dynamic risk assessment to obtain hidden danger development trend parameters. And the hidden danger information is mapped to a geographic information system, a three-dimensional visual analysis result is generated, and a graded early warning instruction is transmitted to a drainage pipe network operation and maintenance management system through a communication interface. The operation and maintenance management efficiency of the drainage pipeline can be improved, the hidden danger checking cost is reduced, and the safety and reliability of the drainage system are enhanced.

The invention discloses an urban inland inundation simulation method based on an SWMM and SIMWE coupling model. The method comprises the steps that basic data and historical heavy rainfall data of a research area are collected and processed; rainstorm events in different recurrence periods are designed; an SWMM-SIMWE coupling model is constructed and verified; and simulating the urban inland inundation condition in a certain period of time in the future based on the designed rainstorm. According to the method, the SWMM model and the SIMWE model are combined and used for simulating an underground drainage system and surface runoff respectively, and water flow movement and accumulated water distribution under the complex urban terrain can be reflected more accurately and efficiently. According to the method, through a reasonable coupling mechanism, the problem that in the prior art, the urban drainage system and the surface runoff dynamic state are difficult to accurately and efficiently simulate is solved, and the water exchange efficiency and precision between the underground drainage system and the surface water flow are remarkably improved. The simulation result provides a scientific basis for urban inland inundation risk assessment and flood control and drainage system optimization, and is helpful for improving the disaster defense capability of cities.

The invention belongs to the field of desilting robots, and particularly discloses a suction type underground drainage pipeline intelligent desilting robot and a desilting method.The desilting robot is composed of an in-pipe integrated robot and an inspection well box; the in-pipe integrated robot comprises a hardware structure and a software module, the hardware structure comprises a mechanical assembly, a circuit assembly, a sediment breaking assembly, a sediment conveying assembly and a machine body, and the software module comprises a pipeline sediment intelligent diagnosis module. A drainage pipeline siltation diagnosis module based on a deep learning network is arranged in a deep learning development board to achieve siltation diagnosis, and a central instruction receiving and sending module is used for sending desilting operation instructions to a nail surface type electric hammer, a high-pressure water spray head, a siltation crushing cutter, a silt pumping pipe, a silt discharging pipe and a vacuum sewage suction pump. According to the invention, automatic and intelligent operation of siltation diagnosis and desilting of the underground drainage pipe network in a certain maintenance area can be realized, the efficiency is greatly improved, personnel do not need to enter the pipeline, and the danger is greatly reduced.

The invention discloses an intelligent underground drainage pipe network management method and system, and relates to the field of drainage pipe network management, and the method comprises the steps: obtaining the real-time liquid level and real-time flow of an upstream monitoring point of a target pipe section; dividing the monitoring data into water rising time period data and water recession time period data; two-way resistance characteristic analysis is conducted on the liquid level-flow model, resistance release characteristics and resistance recovery characteristics are recognized, and the resistance release characteristics are that when the liquid level at the water rising time period or the water rising and recession junction reaches a first threshold value, the flow is sharply increased, and the liquid level is stagnated in rising amplitude or suddenly changed in falling; the resistance recovery characteristic is that the liquid level rebounds and rises when the flow is reduced to a second threshold value in the water recession period; when the two types of features are detected at the same time, it is preliminarily judged that soft intermittent blockage abnormity exists in the target pipe section; and generating a flexible dredging management work order based on a judgment result, and updating an asset state mark in a pipe network operation and maintenance database. The method solves the problem that it is difficult to timely and accurately identify the soft intermittent blockage abnormity and carry out linkage operation and maintenance disposal.

The invention relates to the technical field of drainage pipe channel monitoring, and discloses an underground drainage pipe channel abnormity identification and positioning technology based on topology high-speed exploration. The method comprises the following steps: S1, carrying out topological structure construction on GIS data of an underground drainage pipe channel, and obtaining a topological connection relation of the drainage pipe channel; s2, based on a technology of combining a cache and a search engine, carrying out topological high-speed tracing on the drainage pipe channel, and outputting an upstream and downstream topological relation of a pipeline; and S3, automatically identifying abnormal conditions, including mixed connection, clogging, rainfall inflow, end breakage, reverse slope and pipe diameter matching problems, in the drainage pipe channel by using a topology high-speed exploration technology. By adopting the technical scheme based on the combination of topological modeling and high-speed exploration, the technical effect of quickly analyzing and dynamically updating the topological structure of the underground drainage pipe channel is achieved; the defects that a topology model is slow in updating and difficult to adapt to real-time changes of a pipe network are overcome.

The invention discloses an industrial park-oriented pollution accident traceability and risk intelligent prediction system, and relates to the technical field of park pollution prediction, and the system comprises a pollution data collection module which is used for arranging a water quality monitoring terminal in an industrial park factory area, collecting pollution data, and forming structured pollution data; the hydrological structure modeling module is used for constructing a hydrological network diagram structure based on the physical connection relationship between the park underground drainage system and the surface water body and outputting a directed graph; and the pollution path calculation module is used for calculating propagation paths of pollutants on the possible paths and theoretical propagation time corresponding to the paths on the basis of the directed graph structure output by the hydrological structure modeling module. According to the method, a full-path modeling process of pollutants from a discharge source point to a water body diffusion terminal is broken through by constructing a double-drive coupling model, and the model supports dynamic prediction of pollution paths and influence areas under different hydrological situations and process characteristics.

The invention provides an underground drainage pipeline detection method and device, and belongs to the technical field of underground pipeline detection, and the method comprises the steps: recognizing and randomly extracting a first number of first pipeline nodes and a second number of second pipeline nodes, and updating the particle position and speed based on a particle swarm algorithm, and obtaining a target pipeline node corresponding to each particle until the absolute value of the difference between the updated total fitness value and the total fitness value obtained in the previous process is smaller than a target threshold value, and deploying a sensor on the target pipeline node to detect the drainage pipeline. According to the detection method of the underground drainage pipeline, the sensor deployment scheme is optimized through the particle swarm algorithm, the specific conditions of different management areas and different pipeline conditions can be fully considered under the condition that the number of the sensors is limited, the monitoring effect of an underground pipeline network is maximized, and the reliability of underground drainage pipeline detection is improved.

The invention provides a multi-parameter intelligent detection device for an urban underground drainage pipeline, and the device comprises an intelligent detection robot which comprises a trolley chassis module, a power module, an air-ground lifting module, a top road rolling module, and a mainboard module. The multi-sensor measurement system comprises a Doppler flow measurement module, an air parameter acquisition module, a heavy metal parameter acquisition module and a binocular parallax camera module; the intelligent detection robot collects and transmits flow parameters, gas components, heavy metal components and pipeline health state data of an underground pipe network in real time through the multi-sensor measurement system. According to the invention, the monitoring efficiency and management level of the underground drainage pipe network can be significantly improved, reliable data support is provided for operation optimization, flood control and drainage and pollution control of an urban drainage system, and smart city construction and environmental protection are assisted.

The invention discloses an improved Faster R-CNN underground drainage blow-off pipeline defect detection model, and particularly relates to the field of target detection, and the method comprises the steps: firstly constructing a defect image data set, extracting a defect-containing image from a pipeline detection image, and dividing the defect-containing image into a training set, a verification set and a test set according to a preset proportion after validity screening and defect category labeling; secondly, improving a detection model, replacing a traditional regional proposal module with an anchor-frame-free detection head, embedding an attention module in a high layer of a backbone network, and introducing a feature pyramid network to generate multi-scale features; then training the model, performing multi-graph splicing type data enhancement on a training set, training by adopting an optimizer and a two-stage loss function, and storing an optimal weight in combination with an early stop strategy; and finally evaluating the model, inputting the test set to obtain a detection result, counting related detection data, calculating a precision index, and comparing the precision index with a preset threshold to judge whether the model reaches the standard. The method is high in detection precision and high in adaptability, and meets the requirement for pipeline defect detection.

The utility model discloses a water stop valve used for construction engineering underground drainage engineering, and particularly relates to the technical field of water stop valves, the water stop valve comprises a valve body and two connecting pipes, the inner cavity of the valve body is divided into a water stop cavity and an air cavity, and the side surfaces, far away from each other, of the outer surfaces of the two connecting pipes are respectively provided with a fixing assembly. A sealing assembly communicated with the air cavity is arranged at the top end of the valve body, and a valve clack is installed in an inner cavity of the water stop cavity. According to the water stop valve used for the underground drainage engineering of the construction engineering, the connecting pipes at the two ends of the valve body are connected with drainage pipes with different calibers in a clamped mode through the fixing assemblies, and then gaps between the drainage pipes and the two connecting pipes are sealed through the sealing assemblies; in this way, when drain pipes with different calibers can be clamped and installed through the device, potential fault hazards such as water leakage and loosening can be avoided, and the adaptability of the device to building of complex drain pipelines is greatly improved.

The invention relates to a comprehensive improvement method for severely hardened saline-alkali soil by combining blind ditch salt elimination with pioneer plant planting and winter irrigation, which depends on an original farmland drainage system and comprises the following steps: constructing blind ditches by ditching and filling a filter material, planting pioneer plants, turning, pressing and returning to the field in cooperation with winter irrigation and salt pressing. And a saline-alkaline obstacle reduction technology integrating engineering, agriculture and biology is constructed. The blind ditches form a vertical salt and water drainage channel, so that high-salt irrigation return water of the loose plough layer constructed by planting and turning over pioneer plants directly passes through the alkali drainage channel. According to the method for improving the heavily hardened saline-alkali soil, the consumption of large-water flooding pressure saline water amount is reduced, recarburization and fertility improvement of the barren saline-alkali soil are promoted, saline-alkali obstacle reduction and land productivity improvement can be achieved within 1-2 years, and the method is particularly suitable for rapid curing and continuous utilization of the hardened saline-alkali soil under the matching of irrigation and drainage in western arid regions.

The invention provides an underground pipe network detection positioning method and device, and the method comprises the steps: obtaining the multi-source data of an underground pipe network of a to-be-detected point and the surrounding environment, including ground image data, inspection well internal image data, adjacent inspection well spacing data, ground elevation data, pipe bottom elevation data, and position coordinates; inputting the ground image data into a semantic segmentation network, and outputting a ground semantic segmentation image; respectively extracting contours of the ground semantic segmentation image and the image data in the inspection well to obtain a first edge image and a second edge image; constructing a pavement information measurement model; pipeline diameter information, pipeline gradient and rain and sewage pipeline mixed connection conditions are determined; and integrating the pavement information measurement model, the first edge image, the second edge image, the pipeline diameter information, the pipeline gradient and the like, and drawing a planar graph and an elevation graph of the underground drainage pipe network. According to the method, high-precision detection and positioning of the underground pipe network are remarkably improved, and the method is suitable for city updating and city informatization construction.

The invention provides an underground drainage pipeline defect detection method, a medium and equipment, and relates to the technical field of computer vision, the method comprises the following steps: obtaining an underground drainage pipeline defect picture, marking pipeline defects in the picture by using a marking tool to obtain a training data set, and constructing a defect detection model; the defect detection model is obtained by firstly adding an improved CA attention mechanism into a deformable convolution DCNv2 and then replacing a previous layer C2f module of an SPPF in a YOLOv8 backbone network with the DCNv2 added with the improved CA attention mechanism, and training the defect detection model by adopting a training data set to obtain the trained defect detection model. And detecting the defects of the underground drainage pipeline by adopting the trained defect detection model. Compared with the existing method for detecting the underground drainage pipeline by using YOLOv8, the method provided by the invention has higher precision.

The invention discloses a telescopic underground drainage pipeline compensator, and belongs to the field of compensators. A telescopic underground drainage pipeline compensator comprises a first flange and a second flange, one end of the first flange and one end of the second flange are both fixedly connected with conveying pipes, a corrugated pipe is fixedly installed between the two conveying pipes, a flow guide pipe and a movable limiting ring are arranged on the inner wall of the corrugated pipe, and the flow guide pipe and the movable limiting ring are arranged in one conveying pipe. The limiting ring is fixedly connected with one end of the flow guide pipe through a connecting ring; by arranging the protruding ring, the limiting ring and the elastic part, the gap between the flow guide pipe and the corrugated pipe can be limited, the good sealing effect is achieved under the state that pipeline stretching and retracting are not affected, water and impurities conveyed in the pipeline are prevented from permeating into the gap, the stability of pipeline stretching and retracting is improved, and the service life of the pipeline is prolonged. And residual impurities are prevented from affecting the quality of conveyed water, maintenance is convenient, the function of self-cleaning water pumping and seepage is achieved, and the maintenance cost of the pipeline is effectively reduced.

The present invention relates to a method, device and computer equipment for detecting defects in underground drainage pipes. The method for detecting defects in underground drainage pipes performs multi-level triage detection and integrates an uncommon pipe defect detection model learned from small samples, significantly improving the ability to detect defects in underground drainage pipes. Compared with the existing single detection model, the multi-level triage detection can more reasonably utilize the characteristics of the drainage pipe defect detection model based on the convolutional neural network, and implement detection in a guided manner according to the actual situation of the sample library and the applicable conditions of the detection model, so as to achieve accurate identification of normal and defective conditions and reasonable diversion detection, and then accurately subdivide common defects and uncommon defects for the screened defect image set, thereby improving detection efficiency and detection accuracy.

The utility model provides a landscape landscaping slope drainage structure, which relates to the field of landscaping slope drainage, and comprises a slope drainage channel and a landscaping slope body, the slope drainage channel is embedded and laid on the surface of the landscaping slope body, and a channel surface cover plate covers the upper surface of the slope drainage channel. A vertical baffle is fixed to the lower edge of the outer surface of the channel face cover plate, a porous filter screen and an impurity inlet notch are formed in the surface of the channel face cover plate, a filter screen frame is clamped to the inner side of the slope drainage channel through a supporting plate, and the filter screen frame is distributed and located at the lower end of the impurity inlet notch. The side end of the slope drainage channel is connected with an underground drainage pipe through a connecting groove block. The utility model solves the problem that in the prior art, drainage structures such as drainage channels at the bottom of the greening slope surface are obvious and affect the landscaping aesthetic property.

The utility model provides an underground drainage pipeline bearing structure of a municipal building, and relates to the technical field of drainage pipeline bearing. The municipal building underground drainage pipeline bearing structure comprises a connecting cavity, a connecting end, a through hole, a mounting groove, a double-thread lead screw, an adjusting wheel, a fixing block, a supporting piece, a first cushion layer, a mounting base, a locking part, a shell, a through groove, clamping teeth, a connecting rod, a spring, a fixing plate, a steel belt and a connecting piece. According to the device, through the arrangement of the bendable steel belt and the connecting piece, the device can fix drainage pipelines with different pipe diameters, the use convenience is improved, through the cooperation of the rack on the inserting rod and the locking part, the mounting and fixing efficiency of the steel belt can be improved, and the practicability of the device is improved. Meanwhile, by controlling the two supporting pieces to be close to each other, the drainage pipeline can be further clamped, the fixing effect on the drainage pipeline is good, and use is convenient.

An embedded underground water drainage device for a parking lot belongs to the technical field of underground drainage devices and comprises a device body, permeation holes communicated with the interior of the device body are formed in the lower end and the bottom of the device body, a water pumping pipe is arranged in the device body, and one end of the water pumping pipe extends into the bottom of the device body. And a detachable filter block is arranged between the water pumping pipe and the water drainage pipe, one end of the filter block is connected with the water pumping pipe in a clamped mode, and the other end of the filter block is connected with the hose in a threaded mode. Water can be filtered, meanwhile, the filter block is detachably connected with the water pumping pipe and the hose so that the filter block can be detached and replaced conveniently, and the using convenience and safety of the device are improved.

The application provides a pick-up type underground groundwater level control device, which comprises a receiving box and a machine box buried in a pit, a top end of the receiving box is detachably provided with a cover plate, a top end of the cover plate is provided with a water filling opening assembly, an inside of the receiving box is provided with a rainwater filtering and storing assembly, a top end of the rainwater filtering and storing assembly is provided with a surface water detection assembly protruding above the ground, the machine box is provided with a drainage mechanism for pumping rainwater in the receiving box, a water outlet end of the drainage mechanism is connected with an underground drainage pipeline, an inside of the machine box is provided with a liquid level jump mechanism for controlling opening and closing of the drainage mechanism according to a water level in the receiving box, a power supply for supplying power to the device as a whole and a controller for controlling operation of the device as a whole. The application can collect rainwater, adjust water storage capacity, effectively filter rainwater, discharge excess rainwater into the underground drainage pipeline and automatically monitor whether to perform greening belt irrigation and the like.

The present invention discloses an automatic control rainwater resource utilization device, which relates to the technical field of rainwater resource utilization; specifically, it includes a water reservoir arranged near an urban rainwater drainage pipe, and a rainwater inlet pipe is installed between one side of the water reservoir and the urban rainwater drainage pipe, a sand flushing pipe is installed between the other side of the water reservoir and the urban rainwater drainage pipe, and a pool cover is provided on the top of the water reservoir, and a groove for laying drainage bricks or green plants is provided on the top of the pool cover. The present invention realizes a design concept that integrates water storage, water use, and sand discharge, breaking the original concept of "rainwater is abandoned", giving full play to the two functions of smooth water conduction on the road surface and self-drainage of sediment in the underground drainage pipe, effectively preventing the inconvenience caused by road surface waterlogging to traffic, not only to reduce the pressure brought by urban rainstorm runoff and reduce the pollutant content of the effluent water quality, but also to maximize the long-term utilization of rainwater resources and enhance the natural water circulation function.

The application relates to the technical field of soil remediation, in particular to a saline-alkali soil improvement system and an improvement method thereof. The system comprises an underground drainage unit, a horizontal pipe network of which can be moved to dynamically adjust the salt drainage layout; an above-ground irrigation and salt suppression unit, which adopts drip irrigation under the membrane and integrates the liquid amendment injection function; a soil information monitoring unit, which is used for distributed monitoring of multiple parameters such as soil salt content and humidity; and an integrated management platform, which receives monitoring data and intelligently controls the coordinated operation of irrigation, drainage and amendment application; the application realizes real-time sensing, intelligent decision-making and dynamic precise regulation and control of soil water and salt movement, solves the problems of fixed drainage layout, extensive regulation and control and non-durable effect in the traditional improvement technology, and significantly improves the efficiency and sustainability of saline-alkali soil improvement.

The invention discloses an urban underground drainage pipe network problem diagnosis system based on big data analysis, and relates to the technical field of intelligent pipe networks. S2, carrying out feature fusion, and constructing a feature vector; s3, constructing a diagnosis model to identify whether abnormity exists in the drainage pipe network based on a machine learning algorithm; s4, predicting the occurrence trend of potential problems; and S5, constructing an optimization model for maintenance. According to the method, multi-source data (such as flow, water level, water quality, geographic information, historical maintenance records and the like) are deeply fused, and a big data mining and machine learning algorithm is utilized, so that common problems such as blockage and leakage in a pipe network can be accurately diagnosed, and the occurrence trend of the problems can be predicted in advance. The operation efficiency and safety of the drainage system are greatly improved, resource allocation is optimized through intelligent analysis, the maintenance cost is reduced, and therefore more refined and dynamic drainage pipe network management is achieved.

The invention discloses a water seepage and drainage system for constructing a sponge city, and belongs to the technical field of water seepage and drainage systems, the water seepage and drainage system comprises a water seepage and drainage unit and a water storage unit, the water seepage and drainage unit comprises underground drainage tanks and cover bodies, the cover bodies are installed at the tops of the underground drainage tanks respectively, and each cover body is provided with a seepage hole; a water pump for discharging water from the underground drainage tank is arranged in the underground drainage tank; the water storage unit comprises a reservoir, the reservoir is provided with a plurality of sets of communicating pipelines in one-to-one correspondence with the underground drainage tanks, communicating openings are formed in the side walls or the bottoms of the underground drainage tanks and communicate with the reservoir through the communicating pipelines, opening and closing assemblies are arranged in the underground drainage tanks, and the communicating openings are closed by the opening and closing assemblies in the normal state. When the water level of the underground drainage tank reaches a preset high level, the opening-closing assembly opens the communicating opening. The method has the advantages that dynamic changing rainfall characteristics can be conveniently and flexibly handled, and the utilization efficiency of rainwater recycling and the disaster prevention reliability are improved.

The present invention provides a detection method and device for underground drainage pipes, belonging to the technical field of underground pipeline detection, the method comprising: identifying and randomly extracting a first number of first pipeline nodes and a second number of second pipeline nodes, updating particle positions and velocities based on a particle swarm algorithm, until the absolute value of the difference between the updated total fitness value and the total fitness value obtained in the previous process is less than a target threshold, obtaining the target pipeline node corresponding to each particle, and deploying sensors on the target pipeline nodes to detect drainage pipes. The detection method for underground drainage pipes of the present invention optimizes the sensor deployment scheme through a particle swarm algorithm, can fully consider the specific conditions of different management areas and different pipeline conditions under a limited number of sensors, maximize the monitoring effect of the underground pipeline network, and improve the reliability of underground drainage pipe detection.

The invention discloses a low-carbon light assembly type central drainage ditch, and particularly relates to the field of drainage ditches, the central drainage ditch comprises a main box, and the central drainage ditch is installed through the following steps that firstly, the left side, the right side and the bottom side of a ditch body are sequentially poured and formed through concrete; secondly, the three plates on the left side, the right side and the bottom side are assembled to form a trench body, and the plate thicknesses of the cover plate and the trench body can be determined according to the span and height requirements; and thirdly, a cover plate is manufactured, and the multiple layers of plate-shaped structures are connected. Through the design of the assembled ditch capable of adapting to underground and earth surface scenes after deformation, the assembled ditch can be independently used as an underground drainage ditch or an earth surface water collecting ditch or used as an underground drainage ditch and an earth surface water collecting ditch in a time-sharing manner.

The present invention is applicable to the technical field of pipe network maintenance, and relates to an intelligent decision-making method and system for urban underground drainage pipe network maintenance, including the following steps: three-dimensional instantaneous hydraulic model analysis of drainage pipe network functional diseases; finite element fitting analysis and full-scale test are used to calibrate parameters and verify the accuracy of the three-dimensional instantaneous hydraulic model of drainage pipe network functional diseases; combining node water level iteration method, Preissmann slit method, Godunov finite volume method and unstructured grid, reconstructing the surface one-two-dimensional underground coupling connection model; using R language, dynamic library link technology and long short-term memory neural network method of multi-source data samples to realize the engineering secondary development of the one-two-dimensional coupling connection model, and obtain the functional disease situation of urban drainage pipe network with waterlogging result labels; establishing a multi-objective planning intelligent decision-making model for drainage pipe network maintenance and its solution method. The present invention can meet the intelligent, precise and scientific management and decision-making needs of urban underground drainage pipe networks.

The utility model discloses an underground drainage single covering structure for a desalted plot. The underground drainage single covering structure comprises the desalted plot, the drainage concealed pipes are arranged in the desalted plot in a criss-cross manner; the screens are laid in a criss-cross manner at the positions, corresponding to the arrangement positions of the concealed drainage pipes, of the surface of the desalted land parcel; the aquitard is laid on the screen, and the permeability coefficient of the aquitard is lower than that of the soil of the desalted plot. The area with high infiltration intensity of the field surface is inhibited by the low-permeability layer, and the area with low infiltration intensity is enhanced, so that the infiltration intensity of the soil surface is uniformly distributed, salt can be uniformly leached downwards in the whole desalting field range, the utilization rate of fresh water is improved, and the water-saving efficiency is about 65-75%.

The invention discloses a method and device for replacing an underground drainage pipeline. Comprising the steps that a sleeve tool head is deployed in a downstream working well of the old underground drainage pipeline to be replaced, the sleeve tool head is arranged on the periphery of the old underground drainage pipeline in a sleeving mode, and a sleeve lengthened along with advancing of the sleeve tool head is arranged at the rear end of the sleeve tool head; arranging a traction cable in the old underground drainage pipeline, and connecting the sleeve tool head with a traction mechanism deployed in the upstream working well; the sleeve tool head is pulled by a traction mechanism to cut into the soil body around the old underground drainage pipeline and move towards the upstream working well, and the part, covered by the sleeve tool head and the sleeve, of the old underground drainage pipeline is cut and removed; and deploying a new underground drainage pipeline on the inner sides of the casing and the casing tool head under the condition that the casing tool head reaches the upstream working well.