1450 results about "Tubular network" patented technology

Methods and apparatus provide realistic training in endovascular and endoluminal procedures. One embodiment includes modeling accurately the tubular anatomy of a patient to enable optimized simulation. One embodiment includes simulating the interaction between a flexible device and the anatomy and optimizing the computation. One embodiment includes replicating the functionality of therapeutic devices, e.g. stents, and simulating their interaction with anatomy. One embodiment includes computing hemodynamics inside the vascular model. One embodiment includes reproducing visual feedback, using synthetic X-ray imaging and / or or visible light rendering. One embodiment includes generating contrast agent injection and propagation through a tubular network. One embodiment includes reproducing aspects of the physical environment of an operating room by simulating or tracking, such as C-arm control panel, foot pedals, monitors, real catheters and guidewires, etc. One embodiment includes tracking instrument position and mimicking haptic feedback experienced when manipulating certain medical devices.

The invention provides a system for leak detection of a fluid in a pipe network. The system includes flow meters, and vibration detectors adapted to be attached to a pipe at a location in the pipe network. A processor analyzes signals generated by the flow meters and vibration detectors to identify the presence of one or more leaks in the pipe network. The invention also provides a method for detecting and localizing leaks in a pipeline network, and a device comprising a flow meter integral with a vibration detector for use in the system of the invention.

The present invention relates to an intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data. The present invention effectively analyzes a large amount of data collected on site within a reasonable time period and obtains a state of a pipeline network by an intelligent adaptive method, thereby obtaining a topological structure of a pipeline network. The present invention specifically adopts a flow balance method in combination with information conformance theory to analyze whether the pipeline network has leakage; small amount of leakage and slow leakage can be perfectly and accurately alarmed upon detection; as a generalized regression neural network is adopted to locate a leakage of the pipeline network, an accuracy of a result is increased. Therefore, the present invention adopts a policy and intelligent adaptive method based on big data to solve problems of detecting and locating leakage of the pipeline network.

The invention relates to a modeling method of an on-line hydraulic model of a municipal drainage pipe network, belonging to the technical field of municipal engineering information; the modeling method can construct a municipal drainage pipe network on-line model and realize to input real-time rainfall data to the on-line model continuously when flood situation is forecasted, and analog computation is carried out to the model; furthermore, the model provides analog computation data of whole future water recession process for a drainage pipe network system continuously, so as to achieve real-time forecasting water regimen and timely warning functions. The method overcomes the disadvantages that the conventional drainage pipe network event model only can simulate the complete rainfall events in the city flood simulation and can not simulate real-time rainfall events, can effectively forecast the generating and changing process of the city flood in a real-time and on-line way, ensure long-term and stable operation of the on-line model system and provide technical support for city flood-prevention strategic decision.

The present invention relates to a geographical information system used for electrical power system, wherein the system comprises a human-computer interface module, a basic geography data module, a elementary graph operation module, a view display module, a electric network device management module, a power distribution network equipment input module, a power distribution network equipment attribute maintenance module, a electric power network topology maintenance module, a line maintenance module, a underground pipe network management module, a search statistical form module, a pole tower detailed statement management module, a network topology maintenance module, a electric network topology analysis function module, a single line figure management module, a scheduling system drawing management module, a graph input-output function module and a system administration module, wherein the human-computer interface module connects with every other module mutually. Compared with prior art, the present invention is provided with definite openness, normality, flexibility, expandability, high security and economy, and the like.

The present invention relates to methods and compositions designed for the treatment, management, or prevention of cancer, particularly, metastatic cancer. In one embodiment, the methods of the invention comprise the administration of an effective amount of one or more antibodies that bind to EphA4 and agonize EphA4. In another embodiment, the methods of the invention comprise the administration of an effective amount of one or more antibodies that bind to EphA4 and inhibit cancer cell colony formation in soft agar or tubular network formation in three-dimensional basement membrane or extracellular matrix preparation. In another embodiment, the methods of the invention comprise the administration of an effective amount of one or more antibodies that preferentially binds to an EphA4 epitope that is exposed on cancer cells but not non-cancer cells. In another embodiment, the methods of the invention comprise the administration of an effective amount of one or more antibodies that bind to EphA4 with a very low Koff to reduce EphA4 expression and, thereby, inhibit tumor cell growth and / or metastasis. The invention also provides pharmaceutical compositions comprising one or more EphA4 antibodies of the invention either alone or in combination with one or more other agents useful for cancer therapy.

The invention discloses a 3D automatic modeling and scheduling rendering method for an integrated pipe network, and relates to the technical field of 3D model building. The method comprises the following steps: data reading; layer creating; cutting scheduling; automatic pipeline modeling; automatic pipe point modeling; and automatic pipe network building. The technical problems, such as 2D-3D integrated management based on underground pipe network data in geographic information, spatial data organizing and rendering, and automatic 3D pipe network building according to 2D data, can be solved effectively. The access efficiency to pipe network information in a 3D scene is improved. The level of unified display, management and analysis of multiple underground pipe network systems having different attributes is improved. An important basis is provided for the acquisition and construction scheme of underground pipe network spatial information in urban construction, especially in smart city building in the future. The rapid development of urban construction leads to large-scale development and utilization of urban underground space resources.

The invention relates to a sensor network node device of security monitoring of a natural gas pipe network, mainly comprising a power module, a sensor module, a processor module and a wireless communication module. The node acquires parameters related to the security of pipelines and ambient by an acceleration sensor, a gas sensor and a temperature sensor in the sensor module under the control of the processor module; the nodes carry out data interaction by the wireless communication module, construct self-organization and multi-hop wireless sensor network, and finally transmit the information related to the safety at the nodes to a monitoring center. The wireless sensor network technology is adopted to carry out on-line real-time monitoring to the natural gas pipe networks of cities, and can find insecure factors of damage, leakage and the like of the construction in time, improve the security of operation of the natural gas pipe networks and reduce manual maintenance cost.

The invention belongs to the technical field of smart city information processing, and discloses a pipe network intelligent control method and system integrating augmented reality and virtual reality.The method comprises the steps: performing the 3D modeling and 3D scene rendering of a pipe network, pipe network ancillary facilities and sensors and the 3D virtual reality roaming interaction of the pipe network based on the three-dimensional virtual reality management and control technology, and performing the visualization and query statistics of pipe network operation monitoring data; performing the early detection and discovery of problems; performing the integration of augmented reality and the Internet of Things, and superposing a ground real scene with a virtual model of an underground pipe network and the real-time monitoring data of the Internet of Things; combining with the location-based service LBS, and performing the real-time obtaining of the user location information. Themethod utilizes the location-based service LBS to realize the active push of the unit data of the real-time monitoring system of the underground pipeline network, improves the working efficiency of the pipe network inspection and maintenance services, changes a traditional underground pipeline network management mode and achieves the innovation of a working mode.

The invention relates to a rapid three-dimensional mapping moulding method for ground and an underground pipe network, which comprises the following steps of: acquiring ground scene data and underground pipe data and respectively establishing three-dimensional model images of the ground and the underground pipe network; establishing the link between the ground and underground pipe network three-dimensional model images according to coordinates and storing the link into a database; carrying out rapid moulding in sections according to the moulding range of a rapid moulding machine to obtain underground pipe network sectioned distributing physical models; and splicing the sectioned distributing physical models to obtain an underground pipe network distributing physical model. The ground scene and an underground pipeline are combined and linked by the coordinates; people at different levels can vividly and visually find out the corresponding ground scene by a failure pipeline position and establish a maintenance scheme; similarly, an underground pipe network under a ground scene can be reformed and maintained; and the invention realizes the scientific management of urban infrastructure, saves the maintenance and construction cost, reduces the generating probability of accidents and improves the engineering safety degree and quality.

The invention relates to technology of fault diagnosis, and aims to provide a compressed air system and an intelligent pipe network leakage detecting method for the same. The intelligent pipe network leakage detecting method includes that signals of the pressure, the temperature and the flow of compressed air are acquired by a sensor mounted on a terminal delivery pipe network, and are transmitted to a low-pass filter circuit, received signals are coarsely filtered and are transmitted back to an upper computer by an A / D (analog / digital) conversion circuit via a lower computer, the upper computer obtains change relation of flow parameters along with time and the length of a pipeline according to actually measured data of a starting point and actually measured data of a finish point, and then a pipeline leakage detection function is realized by means of comparing theoretic output with actual output. The intelligent pipe network leakage detecting method adopting detection technology is high in leakage detection accuracy which is higher than 95 degrees, false alarm rate is lower than 3%, detection time is shorter than 55 seconds, sensitivity is high, and leakage quantity higher than 1.5% of delivery quantity of the pipeline can be detected. In addition, when the intelligent pipe network leakage detecting method is used for positioning a leakage point, precision is high, positioning precision error is lower than 1% of the total length of the pipeline, shutdown of a factory is avoided by means of online detection, and labor intensity of manual detection is reduced by means of online detection.

The invention discloses an intelligent line patrol monitoring system for an urban gas pipe network. The intelligent line patrol monitoring system is characterized by comprising intelligent patrol terminal equipment and a database server cluster, wherein the intelligent patrol terminal equipment is combined with a GPS (Global Positioning System) technology and uploading the position information of patrol staff to a monitoring center in real time; the database server cluster is used for storing space data and attribute data as well as some other file data and carrying out consolidated storage and treatment on the data to facilitate seamless and unified integrated data management of the data. The intelligent line patrol monitoring system for the urban gas pipe network provided by the invention adopts scientific means, and can carry out line patrol monitoring for the urban gas pipe network more effectively and intelligently.

The invention relates to a processing method and a processing device for providing auxiliary dispatching data of a water supply network. The processing device is characterized by comprising a supervisory control and data acquisition (SCADA) system, a water supply network hydraulic simulation model processor, a water supply network water quantity prediction model processor, a supplementary measurement pressure data recorder, and an auxiliary dispatching decision processor, wherein the auxiliary dispatching decision processor is connected with the SCADA system, the water supply network hydraulic simulation model processor, the water supply network water prediction model processor, and the supplementary measurement pressure data recorder respectively. Compared with the prior art, the processing method and the processing device have the advantages of providing an effective path for safe and reliable dispatching, energy-saving and optimized dispatching, intellectualized and informationalized scientific dispatching of the urban water supply network, and the like.

The invention provides an energy stepped system based on pipe network arrangement, flow and temperature potential control and a distribution controlling method, particular to a heat fluid circulating system based on solar heat collection and absorption and heat release by snow and ice melting which applies an energy stepped dual-flow pipe network arrangement mode and an all-weather real-time adjustment mode to roads and other similar building structure bodies. The system and the control method are applied to a linking system of two processes of solar heat collection of the road surface and snow and ice melting in winter, thereby strengthening the internal heat exchange of the road surface, not only ensuring effective collection of solar energy in summer and realizing higher outlet temperature of the circulating fluid, but also achieving rapid smelting of accumulated snow and ice at the middle section of the traffic road surface in winter, improving the condition of the traffic road surface and realizing the maximum utilization rate of energy of a dual-circulating fluid in the processes of heat collection in summer and the heat release in winter.

The invention relates to an underground pipe network laying method based on a three-dimensional virtual city, comprising the following steps of: carrying out preprocessing on remote sensing image data, digital elevation model data and three-dimensional building model data to construct a three-dimensional virtual city system; realizing the generation and the management of an underground three-dimensional pipe network model based on pipe point data, pipe well data and two-dimensional pipeline data in the three-dimensional virtual city system; selecting a starting point and a terminal point needing a pipe network according to the underground three-dimensional pipe network model and generating various pipe network laying schemes; carrying out collision processing on the pipe network laying schemes according to relevant specifications and standards, searching pipe network ambient facilities and analyzing the pipe network laying influence factor; carrying out optimization analysis according to the pipe network laying influence factor to obtain an optimum scheme which is suitable for underground pipe network laying, and managing and showing a result in the three-dimensional virtual city system. The invention constructs the three-dimensional virtual city, generates optimization by dynamic modeling and various pipe network laying schemes, realize the laying of a pipe network on dependable basis and provides support for planning underground resources and pipe lines of the city.

The invention belongs to the field of a prediction method of the urban water supply network tube explosion, and provides a novel urban water supply network tube explosion prediction method to solve the problem that the prediction precision is low and establish a tube explosion prediction model so as to provide novel study basis for urban water supply network tube explosion. Therefore, according to the technical scheme, the urban water supply network tube explosion prediction method comprises the following steps of: (1) acquiring the tube explosion rate of a tested water supply network and historical data of other relevant affect factors which affect the tube explosion rate, and taking the tube explosion rate and the historical data as the detected data; (2) establishing a water supply network tube explosion prediction model of a self-adaptive neural network heterozygosis variable precision rough set; (3) carrying out training and test analysis on the water supply network tube explosion prediction model; and (4) predicting the tube explosion rate of the water supply network by using the water supply network tube explosion prediction model which passes the test. The method is mainly applied to prediction on the urban water supply network tube explosion.

The invention discloses a complex plain river network area hydrological model processing method based on ArcGIS. The method is characterized in that an underlying surface feature of a city, a country(comprising polder area and non-polder area) and water surface, and spatial distribution of the same can be distinguished in an aspect of sub-basin division, and thus a runoff generation and flow concentration process of different underlying surface types can be computed by using of different hydrological model; a river channel is interrupted at a river network bifurcated point and a city-country water region junction, a one-to-one correspondence of a catchment and a river reach is realized, thus coupling of hydrological model and hydrodynamic model is facilitated, and an unneccessary river channel segmentation in a modeling process can be reduced; a quick distribution of an underlying surface to a closest river channel is realized by an "Euclidean Allocation" tool; and adjustment of runoff process is performed by using a drainage modulus and an urban pipeline network maximum discharge capacity, the adjusted runoff process is further accorded with a hydrological rule in the plain area, and a simulation accuracy can be improved theoretically.

The invention discloses a clustering and deep belief network-based leakage initial locating method. The method comprises the steps of firstly performing calculation to obtain a pipe network monitoringpoint sensitivity coefficient matrix; secondly dividing a pipe network into multiple leakage regions based on K-means clustering, and generating a leakage sample by utilizing hydraulic simulation software; thirdly building and training a deep belief network-based leakage region identification model; and finally identifying the leakage regions according to actually measured pressure data. The method solves the problem of leakage sample scarcity during modeling, realizes quick locating of the leakage regions in an initial leakage stage, and has relatively high identification precision and relatively strong operability.

The invention relates to an integrated analysis device for leakage monitoring of water supply pipe network and a method of the analysis device. The device comprises a flow monitoring device with a flow recorder, a third-party communication transmission medium and a main station system; the main station system communicates with the flow monitoring device via the third-party communication transmission medium in transmission protocols; and the flow monitoring device also comprises a first communication module. The installation manner is simple, the integrated degree is high, and the caliber testing range is wide. The method of the analysis device comprises the steps that a water supply pipe network system is divided into blocks, zero pressure test is carried out, the water inlet flow and pressure of a water inlet end of the pipe network block area are monitored in real time and uploaded to the main station system, and the main station system receives the real-time pressure and flow data, and displays, stores, analyzes and reports the data. Early indication of leakage of the water supply pipe network can be discovered timely, the identification range is wide, leakage points are located rapidly and effectively, an analysis result is verified rapidly and effectively, basic cost of the water supply system is reduced, and comprehensive benefits including the economical, cost, resource, management and service aspects of the water supply system are improved.

The invention discloses an optimized layout method for pressure monitoring points of an urban water supply pipe network. The method comprises the steps that S1, basic data of the urban water supply pipe network is acquired, EPANETH software is utilized to calculate hydraulic adjustment of the water supply pipe network, and a hydraulic model of the urban water supply pipe network is constructed; S2, a pressure difference matrix, a shortest distance matrix and a water volume influence fuzzy similar matrix are solved according to the hydraulic model of the urban water supply pipe network, and constraint conditions of an optimized layout model of the pressure monitoring points of the urban water supply pipe network are determined; S3, a model objective function is determined, and the optimized layout model of the pressure monitoring points of the urban water supply pipe network is constructed; and S4, a particle swarm algorithm is utilized to solve the optimized layout model of the pressure monitoring points of the urban water supply pipe network, and an optimal pressure monitoring point and monitoring areas of all the pressure monitoring points are determined. The method has the advantages of being simple in principle, easy to realize and high in efficiency and meets the requirements for representativeness, comparability and feasibility of point distribution.

A distributed optical fiber sensing signal processing method for safety monitoring of underground pipe network, which belongs to infrastructure safety monitoring field, which is aimed to improve the intelligent ability of detection and identification of the existing distributed optical fiber sound / vibration sensing system under complex application conditions. The present invention utilizes the distributed optical fiber sound / vibration sensing system to pick up the sound or vibration signal of the whole line along the detection cable; and the customized short time feature and long time feature are respectively extracted from the relative quantity of the sound or the vibration signal at each spatial point in the whole monitoring range. The Bayesian identification and classification network at each spatial point is constructed and trained based on the prior knowledge of the collected signal features and their different background noises.

The invention relates to a method for generating a pressure distribution chart of an urban water supply pipeline network in the technical field of monitoring. The method comprises the following steps of: firstly, collecting the pressure data of nodes of a pressure measurement point, a water plant, a pumping station and the like from the water supply pipeline network by utilizing an SCADA (Supervisory Control And Data Acquisition) system; secondly, preprocessing the collected node data; thirdly, carrying out restrictive cluster analysis on a sample of the collected pressure data; fourthly, zoning the water supply pipeline network according to a clustering result, selecting a representative pressure node from each zone so as to represent the pressure level of the zone in which the representative pressure node is in; and finally, displaying different colors according to the pressure value of each zone and outputting the pressure distribution chart of the water supply pipeline network. The method adopted by the invention is simple and has high efficiency and strong robustness. If the accidents of damage and leakage occur in pipelines, the representative pressure nodes still have the representativeness of the pressure values because the pipelines of the nodes in one class are adjacent and a causal relation exists in the pressure.

The invention discloses a soft measurement method for sewage pumping station flow of an urban drainage converged network. The conventional drainage pipe network system has lots of uncertain factors and high measurement hardware cost. The method comprises the following steps of: analyzing main influencing factors of converged node pumping station flow by using mechanism analysis and priori information, and primarily determining influencing factors of a back-propagation (BP) neural network, namely determining input / output variables; determining lag time of different upstream pumping station flows by using a grey correlation analysis method; and establishing a grey neural network model on the basis of pumping station historical operating data, and predicting the converging node pumping station flow. By combining two methods of grey correlation analysis and grey neural network, the method solves the problem of difference of drainage time delay of different upstream pumping stations, well simulates the nonlinear pipe network drainage process, realizes soft measurement of converged node sewage pumping station flow, saves the hardware resources, and is low in cost and high in accuracy.

The invention discloses a method for online positioning a broken pipe of an urban water supply network based on SCADA data and a real-time model. The method comprises the following steps of: firstly, detecting a pressure wave trough to determine the suspected pipe breaking time boundary and checking measurement points; then selecting measurement points with remarkable abnormality change in the measurement points according to the flow abnormality change of the measurement points after each pipe breakage happens; designating a rectangular region to serve as an initial region for searching pipe breaking points by a real-time optimizing and checking model according to locations of the measurement points; and finally iteratively solving a minimum value by taking the sum between the pressure simulation value and actual valve of a pressure measurement point in continuous cycle as the evaluation standard of a target function so as to acquire the most probable pipe breaking node pipe breaking flow. The method can be used for quickly detecting and positioning pipe breaking and other abnormal incidents with high accuracy, and reducing hurt of pipe breaking for the water supply network system.

The invention relates to a system and a method for supervising a gas engineering project, which is used for project quality safety of gas engineering, personnel management and exact positioning of a pipeline and mainly comprises a server of a control center, a hardware fire wall, a PDA, and a GPS locator, wherein, the server consists of a web server, a database server, a file server and a backup server; the server is connected with the hardware fire wall by a net wire or a modem; after the PDA collects field engineering data and personnel positions information and transmits the data to the server by a GPRS; the GPS locator collects the three-dimensional coordinate information of all crates, equipment and turning points of a pipe network; by adopting the invention, the field operation situations can be remotely monitored at any time and the invention has the advantages of displaying the conditions of all engineering constructions comprehensively and accurately in real time and solving the problems in time, thereby ensuring the engineering construction to be completed with good quality on schedule.

Provided is a pipeline health state assessment method based on a random forest model, belonging to the city water supply pipe network technical field. The method comprises: respectively extracting the pipeline basic information and historic damage case from the foundation database and the damaged database of a city water supply network; performing data pre-processing on obtained pipeline information; utilizing a random forest model to establish the relation between an independent variable and a dependent variable, and evaluating model classification effects; utilizing the random forest model passing classification effect evaluation to predict the damage probability of the water supply pipe network; grading prediction results, representing health levels by different colors, and drafting a health state thematic map; and evaluating pipeline damage influence factor importance, and analyzing influence rules. The pipeline health state assessment method can assess pipe network health states, obtain prediction results fundamentally according with real conditions, effectively evaluate pipeline states, and provide certain theoretical support for water supply enterprises to make a plane of determining pipeline maintenance and reconstruction priorities, and optimizing maintenance.

The invention discloses a BIM (building information modeling) and VR (virtual reality)-based smart city pipeline network integrated platform, a management method thereof and a construction method of the BIM (building information modeling) and VR (virtual reality)-based smart city pipeline network integrated platform. The BIM and VR-based smart city pipeline network integrated platform includes monitoring devices which are deployed at key monitoring positions of a city pipeline network and are in wireless communication with a BIM center service platform, management and control valves which are deployed at key management and control positions of the city pipeline network and are in wireless communication with the BIM center service platform, the BIM center service platform which is composed of a 3D real city scene model database related to the city pipeline network and a management and control module, and a VR (virtual reality) platform which carries out information exchange with the BIM center service platform. According to the BIM and VR-based smart city pipeline network integrated platform of the invention, 3D real city scene models and the VR (virtual reality) platform are combined together so as to realize monitoring, management and control on the city pipeline network, and therefore, the efficiency and timeliness of management and control can be improved, and the cost of manpower and material resources can be reduced.

The invention provides a load prediction and room temperature feedback correction-based whole network balance adjusting method. Most conventional heat supply adjustment is adjustment of a heat sourceor a heating station, and the extensive adjustment mode often makes fluctuation of room temperature be larger and even wastes energy sources. The adjusting method provided by the invention increases adjustment research of whole network balance based on the heat source or the heating station. The target of whole network balance adjustment achieves supply and demand matching and pipe network stabilizing of primary and secondary networks by adjusting parameters of a heat supply system. In order to achieve the target, it is needed to determine an adjustment and control period and a time node to predict the period of heat supply parameters dynamically. Centered by a target value of room temperature of a user, feedback correction is carried out on the predicted water supply temperature by meansof room temperature, and finally, the load prediction and room temperature feedback correction-based whole network balance adjusting method is formed. Fluctuation of room temperature adjusted by the method is relatively gentle, and phenomena of overheating and undercooling are alleviated obviously, and the energy-saving effect is obvious.

The invention relates to the technical field of pipe network leakage monitoring, in particular to a method for building a monitoring pipe network of tree structure leakage conditions and a monitoring system. The method comprises the following steps: (1) multiple different monitoring areas are divided; (2) information of all water users in all the monitoring areas is collected; (3) all metering nodes in all the monitoring areas communicate into an urban water supply pipe network; (4) a node intelligent remote water meter is mounted in a water inlet of each metering node; (5) each monitoring area is provided with a monitoring device for monitoring the pipe leakage conditions in the corresponding monitoring area; (6) the leakage is further analyzed; and (7) leakage places are positioned. The monitoring system comprises the urban water supply pipe network, multiple metering nodes connected to the urban water supply pipe network, and the monitoring devices for monitoring the pipe leakage conditions. The method is used for discovering the pipe network leakage conditions and locking the leakage positions.

The invention relates to the technical field of remote monitoring and discloses a monitoring device for an underground drainage pipe network and a working mechanism of the monitoring device. The monitoring device for the underground drainage pipe network is characterized by comprising a dormancy control module, a master control module, a sensor module and a wireless communication module, wherein the dormancy control module is connected with the master control module and used for controlling dormancy or awakening of the master control module; the master control module is connected with the sensor module and the wireless communication module and used for controlling dormancy or awakening of the sensor module and the wireless communication module, processing environment data collected by the sensor module to generate monitoring information and sending the monitoring information to the wireless communication module for transmitting. The environment of the underground drainage pipe network is monitored in a discrete working mode, the average power consumption of the monitoring device can be greatly reduced through dormancy under the circumstance that monitoring quality is guaranteed, and therefore runtime is prolonged, and practical application of a monitoring system of the underground drainage pipe network is facilitated.