CN117405173A - Intelligent detection and analysis system and detection method for rail transit bow net system state - Google Patents
Intelligent detection and analysis system and detection method for rail transit bow net system state Download PDFInfo
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Abstract
The invention discloses an intelligent detection and analysis system and a detection method for a rail transit bow net system state, which belong to the field of rail transit and comprise a roof device, a bottom device, an in-car device and a ground device; the vehicle interior equipment comprises a bow net detection host and a vehicle-mounted AI host, the vehicle roof equipment comprises a bow net system detection unit, a contact net detection unit and a geometric parameter detection device, the bow net system detection unit comprises a bow net video acquisition module, a bow net temperature detection module, a bow net arcing detection module and a wireless transmission module, the contact net detection unit comprises a contact net suspension detection module and a suspension device positioning module, the vehicle bottom equipment comprises a positioning trigger unit and a vehicle bottom compensation unit, and the vehicle interior equipment is in wireless connection with the ground equipment through a communication module. The invention realizes the automatic detection of the suspension abnormal state of the overhead line system, reduces the detection processing time of the abnormal state of the overhead line system, reduces the labor cost, improves the operation efficiency and ensures the operation safety of the train.
Description
Technical Field
The invention relates to the field of rail transit, in particular to an intelligent detection and analysis system and a detection method for a rail transit bow net system state.
Background
The utility model provides a urban rail transit pantograph-contact net system is abbreviated as bow net system is a complex nonlinear system of electric bus and infrastructure intercoupling, interact, and its operation safety is direct to rail transit's operation safety, and the online class check out test set of bow net detecting system based on the electric bus of operation is the carrier carries out all-round detection and measurement to the state parameter of contact net and bow net current-carrying parameter, and the result is used for guiding the contact net maintenance and has advantages such as easy to use, need not occupy skylight point, detects to the service behavior of contact net and bow.
The existing bow net detection can not carry out intelligent image recognition on abnormal defects of contact net parts in real time; the arc burning and spark automatic detection and identification of the bow net cannot be well achieved, the abnormal state of the net hanging is generally required to be detected manually, the required manpower resources are excessive, the detection efficiency is low, and the running safety of a train is affected.
Disclosure of Invention
For some existing problems, the invention aims to provide an intelligent detection and analysis system and a detection method for the state of a rail transit bow net system, so as to solve the problems in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an intelligent detection and analysis system for the state of a rail transit bow net system comprises a roof device, a bottom device, an in-car device and a ground device;
the in-car equipment is arranged in a track traffic vehicle and comprises an arch net detection host and a vehicle-mounted AI host, wherein the arch net detection host is in communication connection with the vehicle-mounted AI host, and the arch net detection host mainly completes acquisition, compression and storage of video data of an industrial camera; analyzing, processing, recording and feeding back the detection data, and simultaneously having the functions of remote control, information retrieval and data maintenance;
the roof equipment is arranged on the roof of the track traffic vehicle and comprises a bow gateway system detection unit, a contact net detection unit and a geometric parameter detection device, wherein the bow gateway system detection unit, the geometric parameter detection device and a bow net detection host are in communication connection, and the contact net detection unit is in communication connection with a vehicle-mounted AI host;
the bow gateway system detection unit comprises a bow net video acquisition module, a bow net temperature detection module, a bow net arcing detection module and a wireless transmission module, and is used for detecting the running state of the bow net, the bow net temperature and the bow net arcing condition when the track traffic vehicle runs;
the overhead line system detection unit comprises overhead line system suspension detection modules and suspension device positioning modules, wherein the overhead line system suspension detection modules and the suspension device positioning modules are respectively provided with four groups, and the overhead line system detection unit is used for detecting the overhead line system;
the geometric parameter detection device is provided with two groups and comprises a laser and an industrial camera, and is used for detecting the pull-out value, the height and the abrasion of the contact wire;
the vehicle bottom equipment is arranged at the bottom of the track traffic vehicle and comprises a positioning triggering unit and a vehicle bottom compensation unit, the positioning triggering unit, the vehicle bottom compensation unit and the bow net detection host are in communication connection, and the positioning triggering unit adopts a sensor to realize the measurement of the rotation of the axle; the vehicle bottom compensation unit is divided into a left detection device and a right detection device, and each detection device adopts a laser, a processing board and an industrial camera.
The in-car equipment is in wireless connection with the ground equipment through the communication module, and the ground equipment comprises a service server, a data server, an AI server, a comprehensive operation and maintenance display, a core switch, a management switch and a UPS.
As a further scheme of the invention: the bow net video acquisition module comprises a camera and a light supplementing lamp, and is used for carrying out video imaging on the states of the pantograph and the contact net in the running process of the vehicle, and the light supplementing adopts invisible light.
As a further scheme of the invention: the bow net temperature detection module comprises an infrared thermal imager, and is used for measuring the temperatures of the pantograph and the overhead line system in the running process of the vehicle, and carrying out infrared thermal imaging through the infrared thermal imager to obtain detection temperature; the glass of the front panel of the infrared thermal imager adopts germanium glass; the shooting range of the bow net temperature detection module covers the pantograph and the bow net operation area, and the highest temperature value in the picture is collected for alarming.
As a further scheme of the invention: the bow net arcing detection module comprises an ultraviolet sensor and an industrial camera and is used for measuring electric arcs when the pantograph and the overhead contact line are offline in the running process of the vehicle.
As a further scheme of the invention: the overhead contact system suspension detection module comprises an image snapshot module.
The intelligent detection, analysis and detection method for the state of the rail transit bow net system comprises the following steps:
1) The bow net video acquisition module adopts a high-definition camera to carry out high-definition video recording on the bow net operation area, and simultaneously, time information and position information data are overlapped in a video picture;
2) The pantograph and catenary temperature detection module measures the temperatures of the pantograph and the catenary in real time by utilizing an infrared thermal imaging detection technology, and when the detected temperature exceeds a normal value, the temperature is immediately warned and prompted;
3) The arc net arcing detection module measures the arcing phenomenon in the running process of the vehicle by using an ultraviolet camera and can automatically alarm;
4) By imaging the two sides of the suspension device, the detection range of the suspension device is increased, so that the bidirectional detection requirement is met;
5) The geometrical parameter detection device realizes high-definition imaging of the bottom of the contact net, analyzes the wearing surface of the contact net through the acquired bottom imaging, and realizes detection of the abrasion of the contact net according to the basic parameters of the contact net;
6) The vehicle bottom compensation unit supplements light to the vehicle bottom steel rail through the laser, the industrial camera performs image acquisition to the light supplementing area, and the position information of the carriage relative to the steel rail is obtained based on the image extraction track position;
7) The positioning triggering unit adopts a sensor to realize the measurement of the rotation of the axle;
8) The bow gateway system detection unit and the geometric parameter detection device transmit detected information to the bow network detection host, the contact network detection unit transmits the detected information to the vehicle-mounted AI host, the geometric parameter detection device and the positioning triggering unit transmit the detected information to the bow network detection host, the detected information in the bow network detection host and the detected information in the vehicle-mounted AI host are transmitted to the ground equipment through the communication module, and the ground equipment analyzes and compares the detected information to judge the occurrence of faults.
Compared with the prior art, the invention has the beneficial effects that:
the intelligent image recognition system has the intelligent image recognition function of abnormal defects such as loose, broken, falling, cracking, invasion of foreign matters and the like of contact net parts; the method has the advantages that geometrical parameters such as a pull-out value, a height guiding, a positioning height difference, abrasion and the like of the overhead contact system are detected in real time, and the automatic overrun alarm is realized; the device has the function of detecting the temperature of the bow net, monitors and analyzes the temperature distribution of the bow net in real time in the running process, and realizes the overrun automatic alarm of high temperature and temperature difference; the device has the functions of arc burning and spark automatic detection and identification of the bow net; the arc net arc burning area, the arc burning duration and the arc burning times statistical analysis function are provided, and the automatic alarm is carried out on overrun data; the device has the function of high-definition imaging of the front and the back of the overhead line system hanging and supporting device; the device has an autonomous positioning function; the device has the compensation function of measuring geometrical parameters of the overhead line system, and eliminates measurement errors caused by vehicle vibration; the system has the wireless data transmission function, and automatically uploads data to a ground data receiving and analyzing terminal when defects and fault data are found. On the basis of not disturbing the train running order, the automatic detection of the overhead line system suspension abnormal state is realized, the detection processing time of the overhead line system abnormal state is reduced, the labor cost is reduced, the running efficiency is improved, and the running safety of the train is ensured.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent detection analysis system and a detection method for a rail transit bow net system state.
Fig. 2 is a schematic structural diagram of an intelligent detection analysis system for the state of a rail transit bow-net system and a bow-net system detection unit in the detection method thereof.
Fig. 3 is a schematic structural diagram of a contact net detection unit in an intelligent detection analysis system and a detection method for the state of a rail transit bow net system.
Detailed Description
The drawings in the embodiments of the present invention will be combined; the technical scheme in the embodiment of the invention is clearly and completely described; obviously; the described embodiments are only a few embodiments of the present invention; but not all embodiments. Based on the embodiments in the present invention; all other embodiments obtained by those skilled in the art without undue burden; all falling within the scope of the present invention.
In the description of the present invention, it should be noted that, unless explicitly stated and limited otherwise, the terms "mounted," "provided," "connected," and "connected" are to be construed broadly; for example, the connection may be fixed connection, detachable connection, or integral connection, mechanical connection, electrical connection, direct connection, indirect connection via an intermediate medium, or communication between two elements. The specific meaning of the above terms in the present invention will be understood in specific cases by those of ordinary skill in the art.
Referring to fig. 1-3, an intelligent detection and analysis system for a rail transit bow net system state comprises a roof device, a bottom device, an in-car device and a ground device;
the in-car equipment is arranged in a track traffic vehicle and comprises an arch net detection host and a vehicle-mounted AI host, wherein the arch net detection host is in communication connection with the vehicle-mounted AI host, and the arch net detection host mainly completes acquisition, compression and storage of video data of an industrial camera; and the data of the thermal infrared imager is analyzed, processed, recorded, fed back and the like, and meanwhile, the thermal infrared imager has the functions of remote control, information retrieval, data maintenance and the like. The system is provided with a heat dissipation device and is required to be placed in a normal natural ventilation environment.
The vehicle-mounted AI host is an embedded complete machine system developed based on NVIDIAXAVER platform. It configures 4 gigabit network interfaces, supports 8 GMSL2 interface cameras, and adopts a multi-modular design.
The vehicle-mounted AI host supports 8 paths of GMSL2 camera access and internal synchronization triggering functions; NVMESSD with built-in gigabit network card and M.2 interface; the system is provided with 4 paths of independent gigabit network interfaces and 3 paths of CAN bus interfaces, and commonly used interfaces such as RS232, RS422 and RS 485; the device is provided with an MVB communication interface; IP65 waterproof design, full metal closed fuselage, firm;
the roof equipment is arranged on the roof of the track traffic vehicle, the roof equipment comprises a bow gateway system detection unit, a contact net detection unit and a geometric parameter detection device, the bow gateway system detection unit, the geometric parameter detection device and a bow net detection host are in communication connection, the contact net detection unit is in communication connection with a vehicle AI host,
the bow gateway system detecting unit comprises a bow net video acquisition module, a bow net temperature detecting module, a bow net arcing detecting module and a wireless transmission module, and is used for detecting the running state of the bow net, the bow net temperature and the bow net arcing condition when the rail transit vehicle runs, so that the safety of detection is convenient.
The overhead line system detection unit comprises overhead line system suspension detection modules and suspension device positioning modules, and the overhead line system suspension detection modules and the suspension device positioning modules are all provided with four groups. The contact net detecting unit is used for detecting the contact net.
The geometric parameter detection device is provided with two groups and is used for detecting the pull-out value, the height and the abrasion of the contact wire, and comprises a laser and an industrial camera. The method is realized by adopting one set of equipment, each set of cameras measures the area right above the position of each set of cameras, and the measurement of 4 contact lines is supported in the detection area.
The vehicle bottom equipment is arranged at the vehicle bottom of the track traffic vehicle, the vehicle bottom equipment comprises a positioning triggering unit and a vehicle bottom compensation unit, the positioning triggering unit, the vehicle bottom compensation unit and the bow net detection host are in communication connection,
the positioning trigger unit adopts a sensor to realize the measurement of the rotation of the axle. The axle end of the axle is required to be modified, the encoder is additionally arranged on the outer side, and the positioning trigger unit can output the real-time speed of the train and can calculate the mileage according to the speed. When a fault occurs, the suspension device can be accurately positioned according to the mileage condition of the fault by combining with the odometer of the suspension device.
The vehicle bottom compensation unit is divided into a left detection device and a right detection device, and each detection device adopts a laser, a processing board and an industrial camera.
The in-car equipment is in wireless connection with the ground equipment through the communication module, the ground equipment comprises a service server, a data server, an AI server, a comprehensive operation and maintenance display, a core switch, a management switch and a UPS, the ground equipment is installed in an operation and maintenance office, and a PC-based workstation is adopted for remotely controlling a PCMS train subsystem, giving an alarm, maintaining an off-car database, managing a Web-based MMI, processing measured data, analyzing, examining and displaying. Can connect to the internet and allow remote control and communication with contractors as needed to send and receive program updates, fault logs, and data files.
The ground equipment can receive equipment logs, real-time geometric parameter data and alarm data sent back by the vehicle-mounted device in real time, and present the equipment logs, the real-time geometric parameter data and the alarm data to engineers for analysis and research; the system has a unified monitoring platform and a good data interface, visually displays fault information, and provides a professional alarm/defect data analysis panel; the method can be based on the same-point comparison of the positions and repeated alarm recognition; typical defect data can be marked, the defect data can be managed uniformly, and review/correction information can be maintained; the system has the functions of line quality trend analysis and equipment life cycle health management, and has the functions of storing, recording and summarizing data, and comprehensively analyzing different angles such as peak value, change rate, average value, change amplitude, deterioration trend and the like.
The ground equipment has the functions of automatically generating fault statistics reports, pie charts, bar charts and the like, and can generate and derive defect reports; positioning information capable of converting vehicle-mounted reported data is based on a topological graph to intuitively display the position of the electric bus and the alarm position; the system can display the state of the vehicle-mounted equipment, and issue a remote instruction control to the vehicle-mounted equipment, and has the function of issuing a specific detection task to the bow net detection device; the method can request live video broadcast/on demand video to the vehicle-mounted equipment, and realize real-time display of the real-time geometric parameter waveform curve of the overhead line system; the method can store the full original detection geometric parameters and image data, and provide curve viewing and playback of the image detection data of each channel; the ground equipment can intelligently identify (patrol) defects on the image based on the machine learning AI.
The bow net video acquisition module comprises a camera and a light supplementing lamp, two groups of modules are respectively arranged on two sides of the train to meet the measurement range and are respectively used for single-side regional video recording, and if the single-group modules are installed, all coverage can be realized, and one group of modules can be arranged for installation. The bow net video acquisition module performs video imaging on the states of the pantograph and the contact net in the vehicle operation process, and is used for configuring a light supplementing lamp device for supplementing light to a monitoring area in order to meet the effective imaging under the condition of darker light, wherein invisible light is adopted for the light supplementing.
The bow net temperature detection module comprises an infrared thermal imager, two groups of modules are respectively arranged on two sides of the train to meet the measurement range and the installation requirement, and are respectively used for measuring the area on a single side, and if the single groups of modules are installed, the whole coverage can be realized, and a group of modules can be arranged for installation. The temperature detection module of the pantograph and the overhead contact system measures the temperature of the pantograph and the overhead contact system in the running process of the vehicle, and infrared thermal imaging is carried out through the infrared thermal imager to obtain the detection temperature. The front panel glass of the infrared thermal imager adopts germanium glass, and the germanium glass has a higher refractive index, is transparent to infrared light and is opaque to visible light and ultraviolet, so that the germanium glass is selected as the front panel glass of the infrared thermal imager. The shooting range of the bow net temperature detection module covers the pantograph and the bow net operation area, and the highest temperature value in the picture is collected for alarming.
The bow net arcing detection module comprises an ultraviolet sensor, an industrial camera and a lens. In order to meet the measurement range and the installation requirement, two groups of modules are respectively arranged on two sides of the train and are respectively used for measuring the area on a single side, for example, the whole coverage can be realized by installing the single group of modules, and a group of modules can be arranged for installation. The bow net arcing detection module measures the arc when the pantograph and the overhead contact system are offline in the running process of the vehicle, ultraviolet light with the wavelength of 323nm-329nm is captured through the ultraviolet sensor, and when the ultraviolet light is captured, a camera is triggered to perform image acquisition on arcing. The front panel glass of the ultraviolet sensor adopts silica glass, and the transmittance of the silica glass to the ultraviolet spectrum region can reach 85 percent, so that the silica glass is selected as the front panel glass of the ultraviolet sensor. Is only sensitive to a sun blind area (185-260 nm) of a deep ultraviolet band, prevents false triggering and has response time less than 1ms.
The overhead line system suspension detection module mainly comprises an image snapshot module, namely a camera or a lens, the suspension device is positioned through the four suspension device positioning modules, when one side of the overhead line system suspension detection module is positioned by the two positioners, the two opposite side image snapshot modules realize image acquisition on one side of the suspension device, and when the two positioners on the other side of the overhead line system are positioned by the two image snapshot modules on the other side of the overhead line system suspension device, the two image snapshot modules on the other side of the overhead line system suspension device carry out image acquisition on the other side of the overhead line system suspension device.
Four industrial cameras are adopted for imaging, the resolution of each camera is 1600 ten thousand, and the total pixel of 4 cameras is 6400 ten thousand. The transverse pixels of the camera are 5320px, the total pixels of two cameras on one side are 10640, and the resolution of the image is about 0.33mm within 3500 ranges on the two sides, so that the 1mm requirement is met. The longitudinal pixel of the camera is 3032px, the height difference range is 2900mm, the resolution of the image is about 0.96mm, and the requirement of 1mm is met.
The intelligent image recognition system has the intelligent image recognition function of abnormal defects such as loose, broken, falling, cracking, invasion of foreign matters and the like of contact net parts; the method has the advantages that geometrical parameters such as a pull-out value, a height guiding, a positioning height difference, abrasion and the like of the overhead contact system are detected in real time, and the automatic overrun alarm is realized; the device has the function of detecting the temperature of the bow net, monitors and analyzes the temperature distribution of the bow net in real time in the running process, and realizes the overrun automatic alarm of high temperature and temperature difference; the device has the functions of arc burning and spark automatic detection and identification of the bow net; the arc net arc burning area, the arc burning duration and the arc burning times statistical analysis function are provided, and the automatic alarm is carried out on overrun data; the device has the function of high-definition imaging of the front and the back of the overhead line system hanging and supporting device; the device has an autonomous positioning function; the device has the compensation function of measuring geometrical parameters of the overhead line system, and eliminates measurement errors caused by vehicle vibration; the system has the wireless data transmission function, and automatically uploads data to a ground data receiving and analyzing terminal when defects and fault data are found.
The ground analysis workstation has the real-time monitoring function of the overhead line system, and truly displays real-time video of the bow gateway system; the system has the functions of data retrieval, playback, inspection, downloading and the like; the power-on self-starting function is provided, and after the power-on, the equipment is automatically started to work without any manual operation; the device has the functions of wireless data copying and rapid plugging and unplugging of the vehicle-mounted host computer data hard disk, and can realize rapid acquisition and dumping of the vehicle-mounted hard disk data; the system has the function of rolling storage, the system automatically fills and covers the storage according to the time sequence, and the data storage capacity of the vehicle-mounted host can meet the requirement of continuous recording for 21 days (18 hours of daily operation); the system has the functions of guiding out defect reports and reports; the system can report related data to the ground terminal by using the vehicle-ground wireless network; the intelligent recognition and detection rate of the overhead line system state inspection is not lower than 95%, and the intelligent recognition and detection accuracy of the overhead line system state inspection is not lower than 90%.
The intelligent detection, analysis and detection method for the state of the rail transit bow net system comprises the following steps:
1) The bow net video acquisition module adopts a high-definition camera to carry out high-definition video recording on the bow net operation area, and simultaneously, data such as time information, position information and the like are superimposed in a video picture.
2) The pantograph and catenary temperature detection module measures the temperatures of the pantograph and the catenary in real time by utilizing an infrared thermal imaging detection technology, and when the detected temperature exceeds a normal value, the temperature is immediately warned and prompted. In the running process of the vehicle, the contact net and the pantograph generate friction, the temperature of the pantograph and the contact net changes, and the pantograph and the contact net are easily damaged when the temperature is too high. The infrared thermal imaging detection technology principle is that an infrared thermal imaging industrial camera receives infrared radiation signals of a detected object by utilizing an infrared detector and an optical imaging objective lens, and an infrared thermal image of the detected object is scanned and converted into electric signals by utilizing an electronic scanning circuit on a photosensitive source of an infrared optical system infrared detector and amplified. Any object with temperature can emit infrared rays, when the vehicle runs, the pantograph rubs with the contact line to generate temperature, and the thermal imaging industrial camera displays the temperature distribution of the surface of the measured object through a colored picture by receiving the emitted infrared rays.
3) The arc net arcing detection module measures arcing phenomena (arcing intensity, arcing duration and arcing rate) in the running process of the vehicle by using an ultraviolet camera and can automatically give an alarm; in the train operation process, the pantograph and the contact net form a vibration system which oscillates and couples with each other through the contact points, the vibration of the pantograph net system is random vibration, when the vibration is severe, the contact between the pantograph slide plate and the contact wires can be possibly caused, and at the off-line moment, the current breaks through an air gap between the slide plate and the contact wires, a discharge phenomenon is generated, and arcing is formed. By means of the physical characteristics of arc light of the bow net and comprehensive application of optical technology, a real-time online detection method for detecting arc light of the bow net by non-contact ultraviolet photoelectric sensing is provided, the characteristic index sample method for representing arc light of the bow net is accurately obtained, interference factors such as sunlight sources and sunlight are overcome, and online detection can be realized in all weather.
The ultraviolet imaging technology is to capture the space characteristics of a target in an ultraviolet band, image an ultraviolet scene in a larger field of view on a photosensitive surface of an ultraviolet enhancer, convert an extremely weak ultraviolet radiation image into a visible light signal and output the visible light signal, then convert the visible light signal into a digital video image, transmit the digital video image to a photoelectric image acquisition and analysis system according to a certain interface form, output the digital video image to an observation recording device after signal processing, and store and process the acquired image. The front panel glass of the ultraviolet camera is made of quartz glass, and the quartz glass has extremely low thermal expansion coefficient, high temperature resistance, excellent chemical stability and excellent electrical insulation, and is the best choice of all ultraviolet-transmitting materials.
4) Based on the layout of the suspension device positioning module, the original data collection is carried out by adopting a mode of combining positioning and image acquisition. When the train runs to the detection area, the left positioning module realizes accurate positioning of the suspension device, and meanwhile, the right detection module images one side of the suspension device in real time. When the train continues to travel, the right side positioning module realizes accurate positioning of the suspension device, and the left side detection module images the other side of the suspension device in real time.
By imaging both sides of the suspension, the suspension detection range is increased. Meanwhile, in order to ensure that the bow net detection system can realize the detection of the suspension devices at two sides, additional positioning and detection modules are arranged so as to realize the bidirectional detection requirement.
5) The geometrical parameter detection device realizes high-definition imaging of the bottom of the contact net, analyzes the wearing surface of the contact net through the acquired bottom imaging, and realizes detection of the abrasion of the contact net according to the basic parameters of the contact net.
The geometrical parameter detection device adopts a laser triangulation method to detect the pull-out value and the guide height of the contact net, and mainly comprises 4 industrial cameras and 2 or 4 lasers. The light emitted by the laser reaches the contact line to form reflection, the industrial camera collects the reflected light and images on the target surface of the camera, when the position of the contact line changes, the imaging position of the target surface of the camera also changes, and the position of the contact line corresponds to the imaging position of the target surface of the camera one by one. After the target surface of the camera is imaged, a coordinate value of x and y is correspondingly produced on the target surface, x is defined as a pull-out value, y is a guide height, after calibration, the values of x and y correspond to each position state of the contact net, namely the coordinate value of x corresponds to the pull-out value of the contact net one by one, and the coordinate value of y corresponds to the guide height value of the contact net one by one.
6) The car bottom compensation unit supplements light to the car bottom steel rail through the laser, the industrial camera performs image acquisition to the light supplementing area, and the position information of the carriage relative to the steel rail is obtained based on the image extraction track position.
7) The positioning triggering unit adopts a sensor to realize the measurement of axle rotation, the bearingless axle encoder with the magnetic rotor can acquire the axle rotation speed with high resolution, the firm encoder can bear strong impact at the axle, the shake of an output signal is very low, and the resolution is up to 1200ppr. The low noise signal ensures very accurate high dynamic wheel axle speed feedback so that the sensor can reliably detect any torsional vibrations in time.
8) The bow gateway system detection unit and the geometric parameter detection device transmit detected information to the bow network detection host, the contact network detection unit transmits the detected information to the vehicle-mounted AI host, the geometric parameter detection device and the positioning triggering unit transmit the detected information to the bow network detection host, the detected information in the bow network detection host and the detected information in the vehicle-mounted AI host are transmitted to the ground equipment through the communication module, and the ground equipment analyzes and compares the detected information to judge whether faults occur or not.
When PCMS works normally, the vehicle-mounted computer transmits data to the ground operation and maintenance center in real time through the 4G network, meanwhile, the mobile terminal equipment can enter the ground operation and maintenance center through the 4G network to inquire the data, and after the ground receives fault data, the related fault condition and MMI link can be pushed to the appointed mobile terminal in a short message mode.
If the vehicle-mounted data transmission fails, the PCMS supports continuous transmission, and the transmission is not successful after 10 minutes, the system records the transmission failure, and the data is not transmitted continuously.
The comprehensive detection system of the overhead contact system is arranged on a train running on line, and realizes real-time detection of the working states of overhead contact system hanging devices and bow nets on two sides of a rail. The contact network system is subjected to high-resolution video recording, the infrared thermal imager acquires temperature information of contact points of the bow net in real time, and the system can acquire the arcing duration and images of the contact lines on line and push abnormal arcing information. The system can detect dynamic geometric parameters of the on-line detection contact net and contact line abrasion, alarm out-of-limit information and push out in real time. The system realizes data transmission through a 4G/5G network. The system realizes automatic identification and alarm of the overhead contact system suspension defects through an intelligent image identification processing technology. The system provides a data management terminal for managing data, adopts a data mining means for data analysis, and comprehensively judges the working state of the detection line bow net. On the basis of not disturbing the train running order, the automatic detection of the overhead line system suspension abnormal state is realized, the detection processing time of the overhead line system abnormal state is reduced, the labor cost is reduced, the running efficiency is improved, and the running safety of the train is ensured.
As would be apparent to one skilled in the art; it is obvious that the invention is not limited to the details of the above-described exemplary embodiments; and without departing from the spirit or essential characteristics of the invention; the invention can be embodied in other specific forms. Thus, the method comprises the steps of; from either point of view; the embodiments should be considered as exemplary; and is non-limiting; the scope of the invention is indicated by the appended claims rather than by the foregoing description; it is therefore intended to include within the invention all changes that fall within the meaning and range of equivalency of the claims. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it is provided that; it should be understood that; although the present description describes embodiments; but not every embodiment contains only one independent technical solution; this manner of description is for clarity only; the skilled artisan should recognize the specification as a whole; the technical solutions in the embodiments may also be combined appropriately; forming other embodiments as will be appreciated by those skilled in the art.
Claims (6)
1. The intelligent detection and analysis system for the rail transit bow net system state is characterized by comprising a roof device, a bottom device, an in-car device and a ground device;
the in-car equipment is arranged in a track traffic vehicle and comprises an arch net detection host and a vehicle-mounted AI host, wherein the arch net detection host is in communication connection with the vehicle-mounted AI host, and the arch net detection host mainly completes acquisition, compression and storage of video data of an industrial camera; analyzing, processing, recording and feeding back the detection data, and simultaneously having the functions of remote control, information retrieval and data maintenance;
the roof equipment is arranged on the roof of the track traffic vehicle and comprises a bow gateway system detection unit, a contact net detection unit and a geometric parameter detection device, wherein the bow gateway system detection unit, the geometric parameter detection device and a bow net detection host are in communication connection, and the contact net detection unit is in communication connection with a vehicle-mounted AI host;
the bow gateway system detection unit comprises a bow net video acquisition module, a bow net temperature detection module, a bow net arcing detection module and a wireless transmission module, and is used for detecting the running state of the bow net, the bow net temperature and the bow net arcing condition when the track traffic vehicle runs;
the overhead line system detection unit comprises overhead line system suspension detection modules and suspension device positioning modules, wherein the overhead line system suspension detection modules and the suspension device positioning modules are respectively provided with four groups, and the overhead line system detection unit is used for detecting the overhead line system;
the geometric parameter detection device is provided with two groups and comprises a laser and an industrial camera, and is used for detecting the pull-out value, the height and the abrasion of the contact wire;
the vehicle bottom equipment is arranged at the bottom of the track traffic vehicle and comprises a positioning triggering unit and a vehicle bottom compensation unit, the positioning triggering unit, the vehicle bottom compensation unit and the bow net detection host are in communication connection, and the positioning triggering unit adopts a sensor to realize the measurement of the rotation of the axle; the vehicle bottom compensation unit is divided into a left detection device and a right detection device, and each detection device adopts a laser, a processing board and an industrial camera;
the in-car equipment is in wireless connection with the ground equipment through the communication module, and the ground equipment comprises a service server, a data server, an AI server, a comprehensive operation and maintenance display, a core switch, a management switch and a UPS.
2. The intelligent detection and analysis system for the state of the rail transit bow net system according to claim 1, wherein the bow net video acquisition module comprises a camera and a light supplementing lamp, and the bow net video acquisition module is used for carrying out video imaging on the states of a pantograph and a contact net in the running process of a vehicle, and the light supplementing adopts invisible light.
3. The intelligent detection and analysis system for the state of the rail transit bow net system according to claim 2, wherein the bow net temperature detection module comprises an infrared thermal imager, the bow net temperature detection module is used for measuring the temperature of a pantograph and a contact net in the running process of a vehicle, and the infrared thermal imaging is carried out through the infrared thermal imager to obtain the detection temperature; the glass of the front panel of the infrared thermal imager adopts germanium glass; the shooting range of the bow net temperature detection module covers the pantograph and the bow net operation area, and the highest temperature value in the picture is collected for alarming.
4. The intelligent detection and analysis system for the state of the rail transit bow net system according to claim 3, wherein the bow net arcing detection module comprises an ultraviolet sensor and an industrial camera and is used for measuring electric arcs when a pantograph and a contact net are offline in the running process of a vehicle.
5. The intelligent detection and analysis system for the state of the rail transit bow net system according to claim 4, wherein the overhead net suspension detection module comprises an image snapshot module.
6. The detection method of the intelligent detection and analysis system for the state of the rail transit bow net system according to any one of claims 1 to 5 is characterized by comprising the following steps:
1) The bow net video acquisition module adopts a high-definition camera to carry out high-definition video recording on the bow net operation area, and simultaneously, time information and position information data are overlapped in a video picture;
2) The pantograph and catenary temperature detection module measures the temperatures of the pantograph and the catenary in real time by utilizing an infrared thermal imaging detection technology, and when the detected temperature exceeds a normal value, the temperature is immediately warned and prompted;
3) The arc net arcing detection module measures the arcing phenomenon in the running process of the vehicle by using an ultraviolet camera and can automatically alarm;
4) By imaging the two sides of the suspension device, the detection range of the suspension device is increased, so that the bidirectional detection requirement is met;
5) The geometrical parameter detection device realizes high-definition imaging of the bottom of the contact net, analyzes the wearing surface of the contact net through the acquired bottom imaging, and realizes detection of the abrasion of the contact net according to the basic parameters of the contact net;
6) The vehicle bottom compensation unit supplements light to the vehicle bottom steel rail through the laser, the industrial camera performs image acquisition to the light supplementing area, and the position information of the carriage relative to the steel rail is obtained based on the image extraction track position;
7) The positioning triggering unit adopts a sensor to realize the measurement of the rotation of the axle;
8) The bow gateway system detection unit and the geometric parameter detection device transmit detected information to the bow network detection host, the contact network detection unit transmits the detected information to the vehicle-mounted AI host, the geometric parameter detection device and the positioning triggering unit transmit the detected information to the bow network detection host, the detected information in the bow network detection host and the detected information in the vehicle-mounted AI host are transmitted to the ground equipment through the communication module, and the ground equipment analyzes and compares the detected information to judge the occurrence of faults.
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| CN117726830A (en) * | 2024-02-07 | 2024-03-19 | 南京地铁运营咨询科技发展有限公司 | Online bow net detection method, system and storage medium based on monocular image |
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| CN117726830A (en) * | 2024-02-07 | 2024-03-19 | 南京地铁运营咨询科技发展有限公司 | Online bow net detection method, system and storage medium based on monocular image |
| CN117726830B (en) * | 2024-02-07 | 2024-04-23 | 南京地铁运营咨询科技发展有限公司 | Online bow net detection method, system and storage medium based on monocular image |
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