CN101105690A - Multiple sensor integrated method for city long tunnel monitoring system - Google Patents
Multiple sensor integrated method for city long tunnel monitoring system Download PDFInfo
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Abstract
The invention relates to a multi-sensor fusion method used in an urban long tunnel monitoring system which consists of a sensor system, a collection communication transmittance interface and database storing data; the invention is characterized in that the collection communication transmittance interface is completed by PLC; meanwhile, the collection communication transmittance interface collects analog quantity and digital quantity both of which is output by the sensor system, directly sends the analog quantity and digital quantity to the database of a supervisory computer to be implemented fusion procession; the database outputs signals to man-machine interaction interface and intelligent warning system monitoring communication environment; the intelligent warning system can send out warnings including fire warning, visibility warning, carbon monoxide density warning, traffic volume and vehicle speed warning and light intensity difference warning at tunnel entrance. The invention is characterized in that information collected by a plurality of sensors is fused and urban underground long tunnel can be monitored in real time; the self warning of health condition in the tunnel and the self warning of equipment failure can be achieved so that long time health operation of the tunnel can be guaranteed.
Description
Technical field
The invention belongs to areas of information technology, is by handling the real time data of multi-sensor collection, realizing the multiple sensor integrated method in the city long tunnel monitoring system concretely.
Background technology
Traditional signals collecting is often finished by single sensor, also only is to reflect target information from a plurality of sides even adopt a plurality of (kind) sensor isolatedly.In fact, in most of the cases, must handle a plurality of signals simultaneously, and these signals are generally from a plurality of signal sources, i.e. multisensor.But multisensor has also brought information redundancy even contradiction.So must the information of its collection be optimized combination of criteria according to certain by reasonable domination and use, produce conforming explanation of observing environment and description, so an urgent demand further be handled information to a plurality of sensors and observation information thereof." information fusion " is exactly that the data of multisensor are carried out multi-level, many-sided, multi-level processing, promptly merges the data from a plurality of sensors or other information sources, to obtain comprehensive, better estimation.
Summary of the invention
The purpose of this invention is to provide and a kind ofly be intended to that them are gathered and synthetically handled to various environmental parameters in the city long tunnel in real time and improve the intelligent of warning function, reliability, to guarantee the traffic safety of the unimpeded and human pilot of traffic in the tunnel, and effectively significantly reduce multiple sensor integrated method in the city long tunnel monitoring system of energy resource consumption, to overcome above-mentioned deficiency.
To achieve these goals, the present invention is by sensing system, the database of gathering communication transmission interface and storage data constitutes, wherein sensing system output links to each other with collection communication transmission interface, the output of gathering the communication transmission interface is connected with the database of storage data, the database output signal of storage data is connected with human-computer interaction interface, be characterized in: gather the communication transmission interface and finish by PLC, the analog quantity (mainly being various environment numerical value) and the digital quantity (state of sensor device and controlled device and their fault-signal) of pick-up transducers system output simultaneously, these data are selectively carried out overall treatment by PLC, perhaps directly be submitted to the database of host computer, utilize the data of database processing power, carry out Data Fusion, so that obtain the active data more of monitoring; These data through overall treatment are connected with human-computer interaction interface (being host computer) by the database output signal then, also be connected to simultaneously the intelligent alarm system of traffic environment monitoring, this intelligent alarm system comprises fire alarm, visibility is reported to the police, carbonomonoxide concentration is reported to the police, vehicle flowrate and the speed of a motor vehicle are reported to the police, and in the warning of tunnel portal place light intensity difference.
What above-mentioned intelligent alarm system relied on is the real time data of multi-sensor collection, data monitored is divided into two parts in real time, a part is mean wind speed and a wind direction in the tunnel, the visibility size, carbonomonoxide concentration, the temperature inductor signal of fire alarm, the light intensity value of illumination instrument, and average 3 minutes vehicle flowrate and the vehicle speed value of vehicle checker collection, the liquid level value that the liquid level instrument is gathered, another part is that controlled device is (as blower fan, illumination, video, water pump) running status and their fault-signal, with these data transmission to database.
Above-mentioned fire alarm system is the value with the temperature sense instrument that obtains each point in the tunnel, the size of comprehensive carbonomonoxide concentration and visibility, use fuzzy control theory, from the fire control prediction scheme database of having set up, select suitable disposal route, finish the warning of fire with this.
Above-mentioned carbonomonoxide concentration and visibility are to obtain the value of CO/VI detector, and real-time monitoring CO considers that it can rise very fast when traffic congestion took place, and poison for avoiding human pilot CO, need in good time startup blower fan; Real-time monitoring visibility VI is when the greasy weather or because the gathering of water vapour in the tunnel.
Above-mentioned wind speed mean value and wind direction are to obtain by wind speed/wind indicator, to they real-time monitorings, utilize information fusion method, when handling CO concentration and VI, and when breaking out of fire, their size and Orientation of comprehensive consideration, optimization process scheme more.
Above-mentioned light intensity difference is obtained by the illumination instrument, the difference size of light intensity of monitoring porch is adjusted the illumination of porch automatically by the difference boundary of having set, avoids because the light contrast is excessive, cause eyes can't adapt to for the moment and do not see the front, and cause traffic hazard.
Above-mentioned liquid level instrument obtains the height of water level of ponding in the tunnel in real time, according to the water level boundary value controlling schemes that has designed, in conjunction with fuzzy control method, realizes the load balancing control of water pump.
Above-mentioned database can also be connected with the remote user terminals machine by remote server and network.
Characteristics of the present invention are: by the information fusion of multi-sensor collection being realized the real-time monitoring to the underground long tunnel in city, can effectively reduce energy consumption, and set up a cover health intelligent with this and monitored and diagnostic techniques, it can realize the automatic warning to health status in the tunnel, to the automatic warning of equipment failure, to guarantee the healthy for a long time operation in tunnel.The applicant reads the practice in the engineering tunnel supervision control engineering of grade separation main channel, stud-farm in Wuchang, used method of the present invention, in traffic and environmental monitoring subsystem, used the CO/VI detector, wind speed/wind indicator, the illumination instrument, multiple checkout equipment such as vehicle checker, promptly used a plurality of sensors to carry out data acquisition, and through fusion treatment, whether the valid data that obtain monitoring are (excessive as CO, whether wagon flow is excessive, whether light intensity is not enough etc., so that supervisory system control blower fan, equipment such as illumination), improved the level of tunnel safety operation effectively, under the prerequisite that guarantees the efficient operation of passage, realized significantly saving energy and reduce the cost, realized a long tunnel monitoring system that intelligence is healthy and strong.
Description of drawings
Fig. 1 is a theory diagram of the present invention.
Embodiment
Further describe the present invention below in conjunction with accompanying drawing.
The present invention (Fig. 1) by sensing system, gather the communication transmission interface, the tunnel moves real-time health intelligent monitoring and diagnosis system and database is constituted.Wherein sensing system output links to each other with collection communication transmission interface, the output of gathering the communication transmission interface is connected with database, the intelligent alarm system of each environmental data, the running status of underlying device are connected with fault monitoring system in database and the tunnel, and the output signal of database is connected with human-computer interaction interface.
The fire alarm system of long tunnel operation:
Because the distance in tunnel is long, add size and wind direction that travelling of vehicle obviously changes wind speed sometimes, the intensity of a fire of catching fire is a little developed to the direction along wagon flow, make that catching fire of at first reporting to the police a little is not position on fire at first, and the fire alarm system employing is infrared temperature sensor, temperature also is easy to be subjected to Influences on Wind Velocity, therefore to rationally arrange the distribution distance of temperature sense sensor, adopt the irrelevant method of maximum linear reasonably to arrange the temperature sensor that is used for measuring temperature, temperature value according to actual measurement uses data fusion method again, be good wind speed and direction of calculated in advance and the correlativity between the temperature value, can add that also neural net method comes the correlativity size between them is constantly revised automatically, thereby guarantee to improve the accuracy and the reliability of response results, avoid the generation of reporting by mistake.
Carbonomonoxide concentration and visibility warning system:
In the tunnel, monitor CO and VI value in real time, the size of CO is subjected to the influence of wind speed and vehicle flowrate in the tunnel, wind speed is subjected to the influence of the speed of a motor vehicle again simultaneously, the situation of VI also is the same, just its affected degree is littler than CO, therefore here use several in knowledge of statistics determine the relevance parameter of CO and the wind speed and the speed of a motor vehicle, determine VI and their relevance parameter, because they are empirical values of gross data in the past, therefore can add neural net method, come the relevance parameter between them is constantly revised automatically according to the data of surveying; The size of CO and VI is the direct factor of decision blower fan start and stop, what especially CO can change in the tunnel is more frequent, therefore the boundary warning system that designs it can be used theory of fuzzy mathematics, promptly when the CO value was in a certain interval, quantity and position that blower fan is opened also can be different, and its purpose one is the shake that prevents blower fan, the 2nd, under the situation of impact effect not, reduce the unlatching number of blower fan, can cut down the consumption of energy, also can prolong the serviceable life of blower fan simultaneously.
Wind speed and direction does not need to report to the police in the ordinary course of things, but they directly have influence on the size of CO, VI, wind speed and direction is subjected to the influence of the speed of a motor vehicle and vehicle flowrate again simultaneously, therefore in fire alarm system and CO, VI warning system, requisite key factor when they are the information fusion processing, gain knowledge and nerual network technique is determined correlativity size between they and other data in this utilization mathematical statistics, and in operational process, relevance parameter is constantly revised by the measured value that obtains.
Tunnel portal place light intensity difference is reported to the police:
Therefore human eye is non-linear to the reaction of brightness light intensity, changes can produce dazzle, the kind of dazzle: direct glare when excessive suddenly in brightness: the disability glare of feeling during eyes direct-view light source, as the direct-view sun or night the other side's car light of sending a car; Reflected glare: the object back reflexes to the inferior optometry line of eyes behind the light source projects object, general often is called reflectively, and this kind dazzle is to the comfort implications maximum; Contrast dazzle: when the light of indoor king light and other light sources is excessive, promptly have the contrast dazzle.
The present invention is to use the illumination instrument to gather the inside and outside light intensity value of porch, calculate their difference then, thoroughly do away with the standard that our country prevents dazzle, in database, design the compass of difference, adjust the illumination intensity of porch according to the difference size of actual measurement; Light gradually changes during therefore general lighting circuit in the illumination control circuit of porch is independent and tunnel, and the luminous lamp switch process at design entry place, and its light also is to select very approaching natural sunlight.
The real-time Monitoring Data of average speed and average vehicle flow:
Known from the above mentioned their parameters that is absolutely necessary, promptly can influence the size of wind speed, it also is the most direct factor that influences CO concentration, in addition, with reference to domestic and international result of study to the speed of a motor vehicle and vehicle flowrate, can find that they also can directly reflect operation health status in the tunnel, the different speed of a motor vehicle and the combined value of vehicle flowrate have reflected whether the current operation in tunnel is smooth and easy, or might block up, these combined values are kept in the database,, analyze next step tendency of data by means of the intellectual analysis instrument, then the result is outputed to human-computer interaction interface, help managerial personnel with this and better monitor the tunnel.
Pit alert system in the tunnel:
Because subterranean tunnel is in very low physical features, therefore be easy to form ponding, therefore in the tunnel, design the height that the special monitoring in real time of liquid level instrument water level is arranged, this measured value is passed to database, is connecting the boundary warning system of liquid level at this; This warning system has been used fuzzy control theory, determine the higher limit and the lower limit of water level earlier, when surpassing upper limit, opens water level water pump, arriving the lower limit water level up to water level just begins to switch off the pump, fuzzy control wherein is that the absolute height of water level is divided different zones, when water level arrives zones of different, more current again water level and last time water table ratio be to rise or descend, and difference is also divided, be kept at this two-dimentional fuzzy control table in the early warning system earlier, compare realization to water pump control with measured value, control command also will be dealt into balanced control module earlier, and this module is to realize the water pump equilibrium operating; The purpose of this design is a water pump operation of avoiding unnecessary, prolongs the mission life of water pump.
The whole principle of work of the present invention is: obtain the measured value of above-mentioned various environmental parameters by sensing system, give database by the communication transmission interface with these information transmission.Fire alarm system, carbonomonoxide concentration and visibility warning system, and light intensity automatic adjustment system and height of water level control system, comprise wind speed and direction evaluation computing module, all each obtains required information in database for average speed and average vehicle flow computing module, and carry out each pre-designed parameter bound in view of the above and judge the related coefficient of also constantly revising relevant monitoring information with measured value, simultaneously object information is returned database, these warning systems will be extracted needed control command from object information, judged whether alerting signal.Finally, database through remote server, Inter net, LAN (Local Area Network), is transferred to above-mentioned monitoring, diagnosis and evaluation results information on user's the terminal computer, is transferred to the user by human-computer interaction interface.
Each system of the present invention constitutes by center processing unit MCU and peripheral circuit, all adopt the data bus form to carry out communication between each system and collection communication transmission interface and the database, sensing system adopts the data bus form to carry out communication with collection communication transmission interface equally; Above-mentioned data bus form adopts CAN (control area net) data bus.
The principle of work of each system of the present invention both can have been implemented the method realization of software by each system module, can realize that also two kinds of implementations all belong to the present invention's category required for protection with hardware unit.
The content that is not described in detail in the instructions of the present invention belongs to this area professional and technical personnel's known prior art.
Claims (7)
1. the multiple sensor integrated method in the city long tunnel monitoring system, by sensing system, the database of gathering communication transmission interface and storage data constitutes, wherein sensing system output links to each other with collection communication transmission interface, the output of gathering the communication transmission interface is connected with the database of storage data, the database output signal of storage data is connected with human-computer interaction interface, it is characterized in that: gather the communication transmission interface and finish by PLC, the analog quantity and the digital quantity of pick-up transducers system output simultaneously, these data are selectively carried out overall treatment by PLC, perhaps directly be submitted to the database of host computer, carry out Data Fusion, so that obtain the active data more of monitoring; These data through overall treatment are connected with human-computer interaction interface by the database output signal then, also be connected to simultaneously the intelligent alarm system of traffic environment monitoring, this intelligent alarm system comprises fire alarm, visibility is reported to the police, carbonomonoxide concentration is reported to the police, vehicle flowrate and the speed of a motor vehicle are reported to the police, and in the warning of tunnel portal place light intensity difference.
2. the multiple sensor integrated method in the city long tunnel monitoring system as claimed in claim 1, it is characterized in that: what intelligent alarm system relied on is the real time data of multi-sensor collection, data monitored is divided into two parts in real time, a part is mean wind speed and a wind direction in the tunnel, the visibility size, carbonomonoxide concentration, the temperature inductor signal of fire alarm, the light intensity value of illumination instrument, and average 3 minutes vehicle flowrate and the vehicle speed value of vehicle checker collection, the liquid level value that the liquid level instrument is gathered, another part are the running status of controlled device and their fault-signal, and these data transmission are arrived database.
3. the multiple sensor integrated method in the city long tunnel monitoring system as claimed in claim 1, it is characterized in that: fire alarm system is the value with the temperature sense instrument that obtains each point in the tunnel, the size of comprehensive carbonomonoxide concentration and visibility, use fuzzy control theory, from the fire control prediction scheme database of having set up, select suitable disposal route, finish the warning of fire with this.
4. the multiple sensor integrated method in the city long tunnel monitoring system as claimed in claim 1, it is characterized in that: carbonomonoxide concentration and visibility are to obtain the value of CO/VI detector, real-time monitoring CO considers when traffic congestion takes place, it can rise very fast, for avoiding human pilot CO to poison, need in good time startup blower fan; Real-time monitoring visibility VI is when the greasy weather or because the gathering of water vapour in the tunnel.
5. the multiple sensor integrated method in the city long tunnel monitoring system as claimed in claim 1, it is characterized in that: wind speed mean value and wind direction are to obtain by wind speed/wind indicator, to they real-time monitorings, utilize information fusion method, when handling CO concentration and VI, and when breaking out of fire, their size and Orientation of comprehensive consideration, optimization process scheme more.
6. the multiple sensor integrated method in the city long tunnel monitoring system as claimed in claim 1, it is characterized in that: the light intensity difference is obtained by the illumination instrument, the difference size of the light intensity of monitoring porch, automatically adjust the illumination of porch by the difference boundary of having set, avoid because the light contrast is excessive, cause eyes can't adapt to for the moment and do not see the front, and cause traffic hazard.
7. the multiple sensor integrated method in the city long tunnel monitoring system as claimed in claim 1, it is characterized in that: each system constitutes by center processing unit MCU and peripheral circuit, all adopt the data bus form to carry out communication between each system and collection communication transmission interface and the database, sensing system adopts the data bus form to carry out communication with collection communication transmission interface equally; The data bus form adopts the CAN data bus.
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| CN105488730A (en) * | 2015-12-30 | 2016-04-13 | 郑州光力科技股份有限公司 | Fire risk monitoring method of easy firing point at goaf |
| CN105823856A (en) * | 2016-05-03 | 2016-08-03 | 北京英视睿达科技有限公司 | Air quality monitoring method based on multisensor fusion |
| CN106251661A (en) * | 2016-08-09 | 2016-12-21 | 福州大学 | Tunnel portal section wagon flow control method |
| CN106251661B (en) * | 2016-08-09 | 2018-08-21 | 福州大学 | Tunnel portal section wagon flow control method |
| CN106157522A (en) * | 2016-08-31 | 2016-11-23 | 招商局重庆交通科研设计院有限公司 | Vcehicular tunnel vehicle spontaneous combustion early warning system and method based on hotness imaging |
| CN106448180A (en) * | 2016-10-24 | 2017-02-22 | 东南大学 | Long-and-large-tunnel traffic-event real-time detection system and method thereof |
| CN106448180B (en) * | 2016-10-24 | 2019-09-10 | 东南大学 | A kind of major long tunnel traffic events real-time detection method and detection system |
| CN106681218A (en) * | 2017-01-11 | 2017-05-17 | 张军 | Intelligent driving warning system framework based on multicore heterogeneous processor |
| CN109844842B (en) * | 2017-03-10 | 2022-01-04 | 欧姆龙株式会社 | Driving mode switching control device, system, method and storage medium |
| CN109844842A (en) * | 2017-03-10 | 2019-06-04 | 欧姆龙株式会社 | Driving mode transition controller, system, method and program |
| CN107067725A (en) * | 2017-05-26 | 2017-08-18 | 安徽皖通科技股份有限公司 | Tunnel road conditions dynamic early-warning and linkage method of disposal |
| CN107610491A (en) * | 2017-09-05 | 2018-01-19 | 河南理工大学 | Detect warning system in a kind of tunnel vision blind area |
| CN108446793A (en) * | 2018-02-23 | 2018-08-24 | 天智羲王管道科技有限公司 | The canal business system of artificial intelligence big data |
| CN109859471A (en) * | 2019-02-27 | 2019-06-07 | 长安大学 | A kind of inlet and outlet changeover portion road surface running vehicle safety comprehensive early warning of freeway tunnel and feedback system and method |
| CN110043320A (en) * | 2019-05-28 | 2019-07-23 | 中电建路桥集团有限公司 | A kind of tunnel construction environment monitoring method |
| CN110043320B (en) * | 2019-05-28 | 2020-06-12 | 中电建路桥集团有限公司 | Tunnel construction environment monitoring method |
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| CN111963472A (en) * | 2020-08-18 | 2020-11-20 | 无锡中科电气设备有限公司 | Tunnel fan control method for rail transit |
| CN114625036A (en) * | 2021-04-25 | 2022-06-14 | 济南惠成达科技有限公司 | Cloud platform for remote real-time monitoring and alarming and application thereof |
| CN114625036B (en) * | 2021-04-25 | 2023-11-24 | 济南惠成达科技有限公司 | Cloud platform for remote real-time monitoring and alarming and application thereof |
| CN114594712A (en) * | 2022-03-15 | 2022-06-07 | 胜斗士(上海)科技技术发展有限公司 | Sensor-based management apparatus and method thereof |
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