3564 results about "Drainage tubes" patented technology

The invention provides a plant-network integrated intelligent linkage scheduling method and system based on real-time monitoring, and the method comprises the steps: collecting drainage data in a drainage pipe network, obtaining the working condition data of a sewage treatment plant, and obtaining meteorological early warning information; performing comprehensive analysis on the drainage data, the working condition data and the meteorological early warning information based on an intelligent algorithm model, and performing prediction to obtain an analysis result; the intelligent algorithm model is used for simulating the running state of the drainage pipe network and predicting the sewage amount, the water quality change and the mixed sewage overflow risk; and according to the analysis result, generating a dynamic linkage scheduling instruction for the storage tank, the intelligent catch basin and the sewage treatment plant. According to the invention, the running state of the drainage pipe network is accurately simulated through the intelligent algorithm model, the sewage amount, the water quality change and the mixed sewage overflow risk are predicted, then the dynamic linkage scheduling instruction for the regulation and storage tank, the intelligent catch basin and the sewage treatment plant is generated, and the situation that the environment is damaged by overflow is avoided.

The invention provides an urban drainage pipe network monitoring data cleaning and intelligent prediction method, and the method comprises the steps: firstly obtaining pipe network monitoring data, and carrying out the classification tracking and repairing of missing values; adopting a dynamic IQR algorithm based on a sliding window to adaptively identify abnormal candidate points; secondly, introducing a pipe network topological relation, comparing upstream and downstream data change trends, eliminating non-physical anomalies caused by equipment faults, and reserving real hydraulic events; calculating the physical delay time between the nodes by using the cross correlation coefficient; and finally, constructing a random forest model, taking upstream historical data after delay alignment as feature input, and realizing accurate prediction of a future water level and quantification of a feature contribution degree. According to the method, a physical mechanism and machine learning are fused, the problems that data cleaning lacks adaptivity and a deep learning model lacks interpretability are effectively solved, and the accuracy of waterlogging early warning is improved.

The invention discloses an intelligent method and system for multi-source heterogeneous data fusion management, and belongs to the field of data processing, and the intelligent method for multi-source heterogeneous data fusion management comprises the following steps: deploying a sensor network in a historical ponding area based on historical ponding point data and urban hydrological geographic information, acquiring real-time monitoring data, wherein the real-time monitoring data comprises rainfall intensity, road waterlogging depth, community waterlogging condition and drainage pipe network water level / flow; compared with the prior art, the method has the beneficial effects that sensors are arranged in the historical ponding area to obtain real-time monitoring data, and weather forecast, a terrain model and a pipe network model are combined to construct a waterlogging prediction model to predict whether a ponding risk exists in the historical ponding area in future set time (such as 0.5-3 hours in the future); the ponding risk is treated in advance, so that the problems of traffic interruption caused by ponding, citizen travel obstruction and the like are solved.

The invention relates to the technical field of image processing, in particular to a drainage pipeline defect three-dimensional quantification method and device based on vision, and the method comprises the steps: carrying out the at least one processing of sparse point cloud reconstruction, dense point cloud reconstruction, grid reconstruction, texture mapping and scale calibration of a collected visual image, obtaining a real three-dimensional model of the drainage pipeline; calculating a central point of the drainage pipeline based on the real three-dimensional model, and calculating a central line of the drainage pipeline according to the central point; and based on the center line, identifying at least one actual defect of a staggered joint defect, a disjunction defect, a fluctuation defect and a deformation defect of the drainage pipeline, so as to output actual defect information of the drainage pipeline according to the at least one actual defect. Therefore, the problems of incomplete identification or misjudgment of information such as cracks, leakage and sediments and the like caused by low efficiency and detail missing due to relatively great influence of manual subjective judgment or sparse laser point cloud in related technologies are solved.

The invention discloses a drainage pipeline defect detection system and method based on multi-scale feature fusion and occlusion perception, and the system comprises a data set construction module which is used for constructing a drainage pipeline data set covering multi-defect, multi-scale and multi-occlusion scenes; the model training module is based on establishment of a defect collaborative detection model, and a backbone network of the model training module adopts a feature pyramid sharing convolution module to reinforce the multi-scale detail extraction capability; the neck network introduces an advanced screening path aggregation network and a selective feature fusion module to realize dynamic feature screening and fusion; the detection head is integrated with an MCFEM module, and shielding perception and scale adaptability are enhanced. According to the method, the problems of high omission ratio and poor robustness caused by large defect scale change, serious shielding and complex background in drainage pipeline detection are effectively solved, the small target defect identification precision and the shielding scene detection accuracy are remarkably improved, and the method is suitable for high-precision and light-weight detection of multi-scale defects in a complex shielding environment.

The invention discloses a drainage pipeline multi-parameter sensing trenchless repair dynamic regulation and control method and system. Through a fusion technology path of multi-source comprehensive data acquisition, edge calculation real-time cross validation of abnormity, pipeline state simulation analysis of defect levels, intelligent algorithm dynamic adjustment of repair parameters and geographic information visualization platform full-process monitoring, closed-loop management from abnormity identification to repair regulation and control is realized. A comprehensive data set is formed through multi-source data acquisition, an edge computing technology is utilized to quickly identify abnormities, a simulation technology is combined to evaluate the severity of defects, then process parameters are optimized and repaired based on defect levels, and a regulation and control instruction is generated through linkage of a visual platform and a pump station dispatching system. And finally, a pipeline repair and operation regulation and control scheme is formed through integration, and the repair effect and the system stability are ensured. According to the method, the pipeline abnormity processing accuracy and the repairing efficiency are remarkably improved, and a technical guarantee is provided for safe and stable operation of an urban drainage system.

The invention discloses a blocked pipe section identification method of a drainage pipe network system based on dynamic characteristics, and relates to the technical field of drainage pipe network monitoring. Real-time hydraulic association between pipe network nodes is quantified through a dynamic adjacency matrix to generate a spatial topology matrix, and a time sequence is divided based on a sliding window; a space-time fusion model based on GCN and Transform is constructed to carry out multi-scale dynamic coding, and then a decoder is utilized to reconstruct normal working condition data of a pipe network. By calculating the deviation degree of the pipe section level reconstruction error and the threshold value, the blocked pipe section is accurately recognized, end-to-end modeling from'pipe network topology-drainage time sequence data-external rainfall 'multi-source data to blocked pipe section recognition is achieved, and the technical difficulties of a traditional method in the aspects of dynamic topology modeling, long time sequence dependence capture and multi-modal feature fusion are solved.

The invention discloses a drainage pipeline defect identification method based on improved YOLOv10, and belongs to the field of defect detection and the field of image identification. The method comprises the following steps: collecting a drainage pipeline defect image, and executing preprocessing operation on a collected data set to obtain a data set serving as a training model; a backbone network and a head network of the YOLOv10 model are improved, and an improved YOLOv10 model is obtained; and training and verifying the improved YOLOv10 model by using the obtained data set serving as a training model to obtain an optimal YOLOv10 model of the drainage pipeline defect, and completing drainage pipeline defect identification. According to the method, a smoother category transformation basis is provided, information loss is reduced, the accuracy of feature extraction is improved, and the processing capacity of the model on small objects and low-resolution images is optimized. Aiming at the problems that the collected drainage pipeline defect image is not uniform in image illumination, the image resolution after framing processing is not high and the like, the detection efficiency and the detection precision of the model are improved.

The invention belongs to the technical field of underwater operation, and relates to a maintenance device for a lower hinged support of a dock gate and a construction method thereof. The device comprises a waterproof cover box, a diving barge, a hoisting system and a drainage assembly, the waterproof cover box comprises a cover body and a channel well, openings are formed in the bottom and the top of the cover body, the bottom face of the cover body is in sealed compression joint with the surrounding structure of the lower hinged support to be maintained, the channel well is connected to the opening in the top of the cover body in a sealed mode, and the top face of the channel well is higher than the water surface. The diving barge is provided with a plurality of hydraulic supporting legs capable of ascending and descending so that the diving barge can be supported in the horizontal door pit. The hoisting system comprises a tower frame and an arm frame which are arranged on the diving barge, and one end of the arm frame is located above the cover body and connected with the cover body in a pressing mode; the drainage assembly comprises a submersible pump and a drainage pipe, the submersible pump is arranged in the cover body, one end of the drainage pipe is connected with the submersible pump, and the other end is led to the water surface through the channel well. According to the method, a stable dry operation environment can be rapidly constructed at the dock gate lower hinged support to be maintained, rapid maintenance is achieved, pollution to a sea area is avoided, and operation safety is improved.

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 urban drainage pipe network detection and evaluation, in particular to an intelligent pipeline defect evaluation method based on a multi-modal large model. The evaluation method comprises the following steps: firstly, carrying out defect identification on a pipeline detection video based on a deep learning model to obtain a series of defect images containing defect types and positions, and carrying out statistics and segmented scoring on the positions of the defects and the number and distribution of pipe section defects; then, the obtained images with defects are transmitted to a multi-modal large model for deep analysis, scoring is performed from multiple aspects such as the position and size of the defects, the influence on the pipeline structure and the use stability, and the scoring standard and rule are unified by adopting fixed cue words; and finally, weighting by using the two scoring results to obtain the comprehensive score of each pipe section, and synthesizing the scores of each pipe section into the comprehensive score of the pipeline. The evaluation objectivity and accuracy are remarkably improved, the detection and evaluation efficiency is greatly improved, the maintenance decision is more scientific and accurate, and the pipe network management level and safety are improved.

The invention discloses an urban inland inundation prevention and control method based on water conservancy dispatching and pipe network cooperation, belongs to the technical field of urban inland inundation prevention and control, and aims to solve the problem of poor inland inundation prevention and control effect caused by independent operation of water conservancy facilities and drainage pipe networks and lack of cooperation in the prior art. A monitoring sensing network is constructed, and multi-source data are collected in real time and transmitted to a data processing center; a waterlogging prediction model is established through data cleaning and fusion processing in combination with big data and machine learning; according to the prediction result and the real-time water regimen, a water conservancy facility scheduling scheme is made, and meanwhile a drainage pipe network real-time monitoring and scheduling system is built to achieve cooperation of the two; emergency response is triggered automatically when waterlogging occurs, and decision support is provided by using GIS and three-dimensional visualization technology; continuously optimizing each system and scheme through a feedback mechanism; the method breaks the situation of'respective politics', optimizes resource allocation, improves drainage system efficiency and waterlogging prevention and control capability, effectively prevents and relieves waterlogging disasters, and guarantees life and property safety of urban residents and normal operation of cities.

A cable-type detection device for defects and conditions of drainage pipelines includes a detection system and a cable system. The detection system includes an inspection carrier and camera devices. The camera devices are mounted on the inspection carrier. The cable system includes an integrated cable, a connecting cable, a cable restraint and protection device, and a control device. The control device includes a drive unit, a transmission unit, a first cable reel, a second cable reel, and an integrated controller. A first end of the integrated cable is connected to an integrated cable socket of the inspection carrier. A second end of the integrated cable is wound on the first cable reel and electrically connected to the integrated controller. A first end of the connecting cable is connected to a second end of the inspection carrier. A second end of the connecting cable is wound on the second cable reel.

The invention relates to the technical field of drainage pipe network operation and maintenance, and discloses a drainage pipe network sludge sounding method and device and electronic equipment, and the method comprises the steps: obtaining strain data and inertia measurement data at different moments, which are collected in a process that the drainage pipe network sludge sounding device is lowered to the bottom of a pipe network from an inlet of the pipe network; identifying time points when the drainage pipe network sludge sounding device enters different interfaces according to the strain data, wherein the interfaces comprise an air-water body interface, a water body-sludge interface and a sludge-bottom interface; determining vertical depth values of the different interfaces according to the time points when the drainage pipe network sludge sounding device enters the different interfaces and the inertial measurement data corresponding to the time points respectively; and calculating a sludge depth value and a liquid level depth value based on the vertical depth value corresponding to each interface. According to the invention, the sludge depth of the pipeline can be rapidly and accurately measured under complex well conditions.

The invention discloses a drainage pipe network data cleaning and intelligent repairing method fusing multiple models. The method comprises the following steps that S1, original monitoring data flow is collected; s2, carrying out the preliminary detection and elimination of the abnormity based on IQR; s3, performing upstream and downstream multi-source feature extraction and XGBoost weight analysis; step S4, multivariable depth autoregression prediction based on PatchTST is carried out; s5, generating and publishing continuous high-quality data; according to the method, the key technical problems of various abnormal types, incomplete abnormal detection, low cleaning and repairing precision, poor data continuity and trend consistency, high system integration and real-time processing difficulty and the like commonly existing in the actual collection and transmission process of the online monitoring data of the drainage pipe network are solved.

The invention relates to the technical field of data processing, and discloses a drainage pipe network rain and sewage mixed connection tracing and spatial positioning method for a micro monitoring station network, which comprises the following steps: defining an upstream convergence pipe network range of each micro monitoring station according to a flow direction connection relationship of a drainage pipe network and layout nodes of the micro monitoring stations, establishing a unique mapping relation library between each pipe section and the corresponding multi-stage monitoring topological sequence; obtaining water quality and water level data of a monitoring station, intercepting an analysis time period, and identifying a target monitoring topological sequence which generates a response currently in the mapping relation library based on a time-space propagation association attribute of data between stations; locking an isomorphic mapping candidate pipe section set corresponding to the sequence, and constructing a pollutant source emission inversion model of each candidate pipe section according to a pipe network fluid transport diffusion mechanism; and calculating the fitting deviation degree of the source hypothesis of each candidate pipe section to the monitoring data by using the model, and selecting the pipe section with the minimum deviation degree as a positioning result.

The invention provides a drilling control method and system for a self-propelled complex drill bit, and the method comprises the steps: setting a rated cutting torque through obtaining roadbed soil, hydraulic power and geometric parameters, calculating the total propulsion resistance based on the roadbed strength to control the axial jacking force, and carrying out the safety verification of the drag force; calculating a critical flow velocity according to the characteristics of the drilling slag to adjust the discharge capacity and negative pressure of the slurry pump so as to determine an operation boundary; drilling and deslagging are cooperatively executed under the boundary, and the trajectory is corrected by combining a PID algorithm and the propulsion speed is optimized based on the theoretical mechanical drilling speed. According to the method, the technical problems that existing trenchless construction depends on experience to set parameters, scientific quantitative calculation of the slag discharge flow speed and the safety drag force is lacked, and then pipe cable blockage and drainage pipe damage are caused can be solved, and full-system cooperative efficient control of drilling, propelling, slag discharge and guiding based on multi-field coupling calculation is achieved.

The invention discloses a rainstorm ground waterlogging prediction method, device, equipment and product, and relates to the technical field of urban waterlogging prediction.The rainstorm ground waterlogging prediction method comprises the steps that ephemeris and ground observation station data are obtained, the atmospheric moisture delay amount and the high-altitude water vapor conversion factor are calculated respectively, the historical water vapor content is calculated, and the future atmospheric precipitable water amount is predicted; rainfall time distribution data are obtained through rainstorm intensity decomposition; calculating the rainwater overflow amount of the catchment area in combination with the water discharge amount time distribution data of the urban drainage pipe network; and iterative calculation is carried out by using a digital elevation model grid to obtain the waterlogging depth, and waterlogging early warning information is sent out. By constraining the total rainfall amount, the rainfall amount can be effectively constrained by predicting the precipitable water amount based on the satellite ephemeris; the underground pipe network drainage is restrained, and a water flow condition in a pipe channel is simulated by adopting an SWMM model; and finally, the waterlogging accumulated water volume is calculated, constraint verification is carried out on each link of urban waterlogging, and relatively high precision and relatively long timeliness are ensured.

The invention discloses a tunnel high-pressure gushing water comprehensive treatment method integrating probing, guiding, blocking, discharging and fixing, and belongs to the technical field of tunnel construction. The method comprises the following steps: exploring and dividing geological subsections; drainage: drilling a water diversion hole in the concentrated water gushing channel, and pre-burying a multi-stage drainage pipe for graded pressure reduction; blocking is conducted, specifically, the channel is closed through a layered pressure backfill grouting technology; a permanent drainage system is laid, and a deep drainage pipe is connected; reinforcement is carried out, and radial consolidation grouting and groove jumping type inverted arch dismounting and replacing are carried out; and the whole process is monitored in real time, and construction is dynamically optimized. According to the method, exploration, drainage, plugging, drainage, reinforcement and dynamic regulation and control are organically combined, the problems that water plugging, pressure reduction and cooperation are difficult in high-pressure water-rich karst stratum tunnel gushing water treatment are solved, and the method has the advantages of being prominent in systematicness, thorough in treatment, remarkable in pertinence, safe, controllable, novel in process, reliable in quality, dynamic in regulation and control, high in adaptability, obvious in comprehensive benefit and the like.

The invention relates to the technical field of pipeline robots, and discloses a probing robot for automatically recognizing defects of a drainage pipe culvert under the water operation condition. The movement mechanisms cling to the inner wall of the pipeline and are used for detecting the movement of the robot; the rotating mechanism is rotationally mounted on the peripheral side of the robot body; the pressure mechanisms are fixedly mounted on the outer wall of the rotating mechanism, attached to the inner wall of the pipeline and used for collecting pressure value related electric signals; the detection system is mounted in the robot body; the detection system comprises a signal processor module, a wireless transmission equipment module and an infrared camera module; the pressure mechanism, the rotating mechanism and the detection system are matched to realize accurate positioning of defect points on the inner wall of the pipeline. Through combination of mechanical contact type detection and kinematic model positioning, high-precision spatial positioning and identification of the inner wall of the pipeline are realized in a high-turbidity and full-pipe water-carrying environment, and data support is provided for subsequent pipeline maintenance and repair.

The invention relates to a building structure with a curtain wall drainage function and a construction method thereof, the building structure comprises mutually connected wall bodies, and is characterized in that the wall bodies comprise a first wall body, a second wall body and connecting walls, and at least one connecting wall is arranged between the first wall body and the second wall body; the first wall body, the second wall body and the connecting wall are each provided with a drainage assembly, the drainage assemblies are used for drainage of the surfaces of the wall bodies, each drainage assembly comprises a plurality of transverse water collecting grooves which are horizontally arranged and distributed up and down, vertical flow guide pipes are arranged in the middles of the transverse water collecting grooves, and the vertical flow guide pipes penetrate through all the transverse water collecting grooves; a water passing opening is formed between the vertical flow guide pipe and the transverse water collecting tank; the lower end of the vertical flow guide pipe is provided with a water drainage opening used for being connected with a water drainage pipe. Rainwater on the curtain wall can be collected and drained, and the situation that rainwater flows to the ground to affect wall corners and the situation that rainwater cannot pass through the wall conveniently are prevented.

The invention discloses a drainage pipe network operation intelligent monitoring system based on multi-source data fusion, and relates to the technical field of drainage pipe network intelligent monitoring. According to the method, through collaborative design of the dynamic weight matrix and the ChebNet-LSTM fusion model, limitation of a traditional algorithm on nonlinear feature capture and time-space correlation analysis of the drainage pipe network is broken through; the dynamic weight matrix is combined with node topological data and abnormal case data, so that the association strength between the nodes can be dynamically adjusted, and the complex working condition of the pipe network can be accurately adapted; according to the ChebNet-LSTM model, space correlation features are extracted through a ChebNet layer, long-term and short-term time sequence dependence is captured through an LSTM layer, the problem that a traditional linear algorithm cannot fit a non-linear scene is solved, the limitation of single-dimension feature analysis is broken through, pipe network data space-time collaborative modeling is achieved, multi-task output can be achieved while the calculated amount is reduced to meet the real-time monitoring requirement, and the real-time monitoring efficiency is improved. And the abnormity pre-judgment accuracy and the tracing precision are greatly improved.

The invention relates to the technical field of ascites drainage, in particular to an ascites drainage device which comprises a puncture tube, the output end of the puncture tube is fixedly connected with a one-way valve, the output end of the one-way valve is fixedly connected with a separation tube, a drainage opening is formed in the bottom of the separation tube, and the output end of the drainage opening is fixedly connected with a drainage tube. The output end of the drainage tube is fixedly connected with a liquid accumulation bag, a filter cartridge is arranged in the separation tube, and the input end of the filter cartridge is communicated with the input end of the separation tube. The spiral flow deflectors which are uniformly arranged along the central axis are arranged at the input end of the filter cartridge, so that ascites can be guided to form a spiral flowing state, and solid substances are always kept in dynamic distribution of'spirally advancing along the wall 'by virtue of centrifugal force; meanwhile, when the filter cartridge is blocked and the pressure rises to a preset value, the second T-shaped piston rod can extrude the titanium alloy spring to slide, so that ascites enters the hole-free groove to expand the internal space of the filter cartridge, the pressure is balanced, and time is bought for cleaning blockages.

The invention relates to the technical field of pipelines, in particular to a self-cleaning drainage pipeline which comprises a pipeline body and is characterized in that the pipeline body comprises a self-cleaning section, self-cleaning protruding strips are arranged on the inner wall of the self-cleaning section, and the self-cleaning protruding strips are arranged in a continuous spiral surrounding mode along the inner wall of the self-cleaning section. The self-cleaning device has the beneficial effects that water scale can be inhibited to a certain degree, existing water scale can be removed, no additional auxiliary device or chemical agent is needed, self-cleaning is achieved only through the pipeline structure, shutdown operation is not needed, the drainage process is not interrupted, waste of waste pipelines is avoided, and corrosion and pollution risks are avoided; the green and environment-friendly production concept is met.

The invention discloses a closed thoracic drainage bottle facilitating drainage, and belongs to the field of medical instruments. The device comprises a water seal bottle, a negative pressure adjusting bottle, a water seal pipe and a chest drainage pipe, and is additionally provided with an adjusting assembly and a liquid collecting assembly. The liquid collecting assembly comprises a first liquid collecting bottle and a second liquid collecting bottle which are symmetrical; the adjusting assembly comprises a fixing plate and four sets of two-way valves, the fixing plate is provided with symmetrical connectors which are connected with the liquid collecting bottle and the chest drainage tube respectively, and the two forked ends of the water sealing tube penetrate through the corresponding two-way valve connectors and stretch into the liquid collecting bottle. Seamless switching of the double liquid collection bottles can be achieved by controlling opening and closing of different two-way valves, and drainage does not need to be interrupted when the liquid collection bottles are replaced. The device is easy and convenient to operate, the drainage efficiency is improved, and drainage continuity and safety are guaranteed.

The invention discloses an urban road intelligent drainage scheduling system and method based on the Internet of Things. The method comprises the following steps that an urban road drainage Internet of Things sensing network is constructed, and a multi-source heterogeneous data set corresponding to an urban road target area is collected; performing space-time alignment and noise filtration processing on the multi-source heterogeneous data set, and meanwhile, performing ponding increase rate and pipe network pressure bearing evaluation to obtain urban ponding increase rates and drainage pipe network pressure bearing degrees corresponding to different urban road subnetworks; calculating drainage pipe network negative pressure indexes corresponding to the different urban road section sub-networks according to the urban water accumulation increasing rates and the drainage pipe network pressure bearing degrees corresponding to the different urban road section sub-networks; and acquiring an urban road network topological structure, performing drainage hierarchical scheduling processing, issuing the urban road network topological structure to drainage facilities in corresponding areas to execute drainage scheduling and feed back scheduled drainage effect data, and re-executing closed-loop scheduling if the drainage effect data is not accordant with the drainage effect data. According to the invention, accurate drainage scheduling of the urban road area can be realized.

The invention discloses a peritoneal drainage flushing device based on multi-dimensional parameter monitoring and a negative pressure regulation and control system, and belongs to the technical field of peritoneal drainage. The peritoneal drainage flushing device and negative pressure regulation and control system based on multi-dimensional parameter monitoring comprises a device support, a multi-channel rotary valve and two negative pressure pumps, a flow guide pipe and a backflow pipe are arranged between the two negative pressure pumps and the multi-channel rotary valve, and pipeline detection modules are installed on the flow guide pipe and the backflow pipe. The peritoneal drainage device solves the problems that an existing peritoneal drainage device is not ideal in treatment effect and affects the treatment effect when a drainage tube is blocked, early intervention is carried out by adjusting a negative pressure pump, a multi-channel rotary valve and a three-way electromagnetic valve, targeted treatment is automatically triggered at the early stage of complications through continuous and multi-dimensional monitoring, and the treatment effect is effectively improved. The tube blocking rate, the abdominal infection rate and the abdominal hypertension syndrome occurrence rate are remarkably reduced, the pain of a patient is relieved, the recovery time is shortened, and personalized and self-adaptive adjustment is carried out according to the physical state of the patient.

The invention discloses a dredged mud upper and lower part double-face combined vacuum consolidation drainage method, which comprises the following specific implementation processes: laying a horizontal sand bag containing a PVC (Polyvinyl Chloride) pipe and a vertical drainage pipe at the bottom of a cofferdam foundation pit to serve as a bottom drainage system, blowing and filling dredged mud in a layered manner, controlling the thickness and the water content of each layer, and when the water content of a soil body is lower than twice liquid limit, stopping drainage; starting the bottom vacuum water pumping device to perform preliminary water drainage, inserting straw bundles into the soil body through hollow pipes with bottom covers to form a vertical water drainage structure after the strength of the soil body meets the requirement, sequentially laying geotechnical cloth, a straw woven blanket, a PVC water drainage pipe network and a sealing film on the top to construct a top vacuum system, and finally synchronously starting the top vacuum water pumping device and the bottom vacuum water pumping device. The vacuum difference is controlled by adjusting the ventilation device, and upper and lower double-face combined vacuum consolidation drainage is achieved. The drainage consolidation of the dredged mud is effectively accelerated, the treatment efficiency is improved, and the drainage effect is enhanced through precise control over the vacuum degree and application of materials such as straw.

The invention relates to the technical field of visual identification, in particular to a method and system for identifying typical defects of a drainage pipeline by using a machine vision technology, and the method specifically comprises the following steps: shooting a pipeline internal video, extracting according to frames, obtaining original drainage pipeline image data, and labeling defect classification labels and defect area contours for images; the method comprises the following steps: constructing a typical defect identification model of a drainage pipeline, performing multi-dimensional preprocessing and enhancement on an original image, generating defect sensitive features through a multi-scale multi-channel attention fusion module, outputting a related result through a parallel identification segmentation module, constructing a total loss function and training the model; and inputting a pipeline image with unknown defects into the trained model, completing automatic identification, and generating a defect contour mask and an identification report. The method can realize automatic and accurate identification of pipeline defects, greatly improves the detection efficiency and precision, reduces the labor cost, and is suitable for typical defect detection scenes of various drainage pipelines.

The invention relates to the technical field of building construction, and discloses a construction site water recycling system which comprises a control module, a water well, a sedimentation tank, a water tank, an increasing pump and a spraying pipe. The sedimentation tank at least comprises a first purification tank and a second purification tank, a filtering wall is arranged on the top side of a wall between the two tanks, and a drainage pipe is assembled on the bottom side of the second purification tank; the well is communicated with the first purifying pond through a first pipeline; a first submersible pump at one end of the first pipeline is arranged in the well; the second purifying pond is connected with the water tank through a second pipeline, a second submersible pump at one end of the second pipeline is arranged in the second purifying pond, and a first gate valve, a water meter and a filter are sequentially arranged on the pipeline; the booster pump is connected with the water tank through a third pipeline with a second gate valve and connected with the spraying pipe through a fourth pipeline with a third gate valve. And the control module is electrically connected with the water meter and each gate valve, so that full-flow intelligent cooperative control of water source extraction, purification, transmission and distribution and spraying is realized.