CN107025797A - A kind of bad weather road conditions automatic early-warning system - Google Patents
A kind of bad weather road conditions automatic early-warning system Download PDFInfo
- Publication number
- CN107025797A CN107025797A CN201710422411.3A CN201710422411A CN107025797A CN 107025797 A CN107025797 A CN 107025797A CN 201710422411 A CN201710422411 A CN 201710422411A CN 107025797 A CN107025797 A CN 107025797A
- Authority
- CN
- China
- Prior art keywords
- live
- early warning
- data
- warning
- processing center
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a kind of bad weather road conditions automatic early-warning system, it includes：Sensing module, can detect atmospheric visibility, detection icy road or the condition of high temperature, detect deformability and bridge surface temperature at bridge grafting；In-situ processing center, corresponding live abnormal data grade is inquired in a live abnormal data ranked queries table according to deformability, bridge surface temperature at atmospheric visibility, detection icy road or the condition of high temperature, detection bridge grafting, and corresponding live early warning scheme is inquired in a live early warning proposal inquiry table according to the live abnormal data grade of inquiry；Live warning module, performs corresponding early warning according to live early warning scheme and acts；High in the clouds processing center, searches corresponding diagnostic result, and know corresponding distant early warning scheme according to the diagnostic result of inquiry according to the live abnormal data grade of inquiry in an expert database；Distant early warning module, performs corresponding early warning according to distant early warning scheme and acts.
Description
Technical field
The present invention relates to a kind of early warning system, more particularly to a kind of bad weather road conditions automatic early-warning system.
Background technology
Sensory-perceptible is a kind of sensor, communication network, handles technology and field that calculating is combined.In artificial intelligence
In generation, by a large amount of sensor integration information analyses, and big data excavation, artificial intelligence calculating are combined, pass through effective executing agency
Pretreatment, so that more convenient, efficient, the safe life mode of production can be realized.Modern society's traffic trip frequency increases, inner
Cheng Zeng great, in traffic trip occasions such as expressway, bridge, hill path, high speed bayonet socket, traffic controls, relies solely on traffic police's management and control portion
Door, can not accomplish convenient traffic, road information report at once, traffic prewarning, influence safety traffic trip.
The content of the invention
It is an object of the invention to provide a kind of bad weather road conditions automatic early-warning system, it combines related sensor, led to
Letter technology, the information processing technology, are applicable to the traffic trip occasions such as expressway, bridge, hill path, high speed bayonet socket, traffic control,
Achievable convenient traffic, road information are reported at once, traffic prewarning, safety traffic trip.
The present invention solution be：A kind of bad weather road conditions automatic early-warning system, it includes：
Sensing module, it includes detecting some visibility detectors of atmospheric visibility, detection icy road or high temperature shape
Deformability and some bridge monitoring units of bridge surface temperature at some road monitoring unit of state, detection bridge grafting；
In-situ processing center, its be stored with a live early warning proposal inquiry table and one and live early warning proposal inquiry table
Each live early warning scheme correspondence in corresponding live abnormal data ranked queries table, the live early warning proposal inquiry table
A live abnormal data grade in the live abnormal data ranked queries table, the live abnormal data ranked queries table
The live abnormal data scope of correspondence one, the live abnormal data scope is according to different atmospheric visibilities, different detections
Deformability at icy road or the condition of high temperature, different detection bridge graftings, different bridge surface temperature collaborations define many
Individual live abnormal data grade；Atmospheric visibility that the in-situ processing center is transmitted according to the sensing module, detection road
Deformability, bridge surface temperature are in the live abnormal data ranked queries table at icing or the condition of high temperature, detection bridge grafting
In inquire corresponding live abnormal data grade, and according to the live abnormal data grade of inquiry in the live early warning scheme
Corresponding live early warning scheme is inquired in inquiry table；
Live warning module, it performs corresponding early warning according to the live early warning scheme and acted；
High in the clouds processing center, it is abnormal that it stores storage and Different field in an expert database, the expert database
The corresponding diagnostic result of data level, each diagnostic result sets a distant early warning scheme；The high in the clouds processing center root
It is investigated that the live abnormal data grade ask searches corresponding diagnostic result in the expert database, and according to the diagnosis of inquiry
As a result corresponding distant early warning scheme is known；
Distant early warning module, it performs corresponding early warning according to the distant early warning scheme and acted.
As the further improvement of such scheme, the visibility detector is calculated discrete photoelectron by laser light scattering and obtained
To visibility of air.
As the further improvement of such scheme, the road monitoring unit passes through the temperature more than earth's surface and earth's surface
Humidity sensor, air ambient sensor, the temperature and humidity measured according to the Temperature Humidity Sensor, with reference to the air ring
The earth's surface or air ambient information of border sensor measurement, to judge icy road or the condition of high temperature.
As the further improvement of such scheme, the bridge monitoring unit is passed by changing sensor, platinum resistance temperature
Sensor, measures deformability and bridge surface temperature at bridge grafting respectively.
As the further improvement of such scheme, the early warning action that the live warning module is performed includes：Enable fog lamp
Alarm, and adjust fog lamp flicker frequency；Enable electronic speed limit plate, Horn；Alarm lamp, Horn, LED is enabled to show
Screen.
As the further improvement of such scheme, the sensing module and the live warning module pass through Zigbee respectively
In-situ processing center described in network connection；The sensing module is when signal detection is changed, to detecting atmospheric visibility, detection
Deformability, bridge surface temperature are carried out again after being filtered amplification respectively at icy road or the condition of high temperature, detection bridge grafting
AD conversion.
As the further improvement of such scheme, the data processing method at the in-situ processing center includes：
Step (1), initializes the in-situ processing center；
Step (2), regularly sends networking beacon to the sensing module；
Step (3), judge the sensing module node whether network beacon, be, then perform step (6), otherwise perform
Step (4)；
Step (4), judges whether that sensing node data are reported, is, then performs step (7), otherwise performs step (5)；
Step (5), judges whether to update expert database, is, then perform step (8), otherwise perform step (2)；
Step (6), preserves node ID and replys the in-situ processing center, then perform step (4)；
Step (7), Data Analysis Services, then perform step (9)；
Step (8), updates expert data use-case, returns again to step (2)；
Data after being analyzed and processed in step (9), judgment step (7) whether there is data exception, be then to perform step
(10) step (2), is otherwise performed；
Step (10), multinode Data Management Analysis, then perform step (11)；
Step (11), judges whether to perform early warning, is, then perform step (12), otherwise return to step (2)；
Step (12), early warning node.
As the further improvement of such scheme, the detection method of the sensing module is initializing the sensing module
Afterwards, comprise the following steps：
Step (13), judges whether timing detection time arrives, and is, then performs step (14), otherwise performs step (15)；
Step (14), sensor detection；
Step (15), receives the node network beacon at the in-situ processing center, then performs step (16)；
Step (16), judges whether the node of the sensing module has networked, and is, then performs step (18) and step respectively
(40) step (17), is otherwise performed；
Step (17), networks and preserves；
Step (18), reports node data, then perform step (19)；
Step (40), receives transparent transmission instruction, then perform step (41)；
Step (41), sends transparent transmission instruction, then perform step (19)；
Step (19), into low-power consumption.
As the further improvement of such scheme, the early warning method of operating of the live warning module comprises the following steps：
Step (20), initializes the live warning module, then perform step (21)；
Step (21), receives the node network beacon at the in-situ processing center, then performs step (22)；
Step (22), judges whether the live warning module has networked, and is, then performs step (23), otherwise perform step
Suddenly (24)；
Step (23), receives early warning order, and resynchronisation performs step (25) and step (50)；
Step (25), performs early warning, then perform step (26)；
Step (50), receives transparent data, then perform step (51)；
Step (51), reported data, then perform step (26)；
Step (24), networks and preserves, then performs step (26)；
Step (26), into low-power consumption.
As the further improvement of such scheme, the data processing method of the high in the clouds processing center comprises the following steps：
Step (31), receives each field monitoring data, and resynchronisation performs step (32) and step (33)；
Step (32), database preserves data；
Step (33), judges whether abnormal alarm, is, then performs step (34), otherwise return to step (31)；
Step (34), big data analysis system, then perform step (35)；
Step (35), expert database whether there is use-case, be, then perform step (36), otherwise perform step (37)；
Step (36), distant early warning, then perform step (38)；
Step (37), live more data is obtained, then performs step (38)；
Step (38), analysis expert differentiates, then performs step (39)；
Step (39), updates live use-case in expert database.
The advantage of the invention is that：1st, classification uses different sensing modules, enters for a variety of severe bad weathers and road conditions
Row monitoring；2nd, quickly analyze and start live early warning system；3rd, excavated by intelligent algorithm and big data, forecast assessment is disliked
Bad situation, and provide distant early warning scheme.
Brief description of the drawings
Fig. 1 is the system block diagram of the bad weather road conditions automatic early-warning system of the present invention.
Fig. 2 is the schematic diagram of the transducing signal detection conversion of sensing module in Fig. 1.
Fig. 3 is the field apparatus Zigbee wireless network architecture figures of the present invention.
Fig. 4 is in-situ processing central task flow chart of the present invention.
Fig. 5 is sensing node workflow diagram of the present invention.
Fig. 6 is early warning node workflow diagram of the present invention.
Fig. 7 is the high in the clouds processing center workflow diagram of the present invention.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, it is right below in conjunction with drawings and Examples
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
Referring to Fig. 1, the bad weather road conditions automatic early-warning system of the present invention mainly includes four bulks：It is sensing module 1, existing
Field processing center 2, live warning module 3, high in the clouds processing center 4, distant early warning module 5.Sensing module 1 can be wireless by 2.4G
Communication link is connected to in-situ processing center 2, and in-situ processing center 2 can be made up of master controller and peripheral supplementary module, master control
Device processed connects live warning module 3 by 2.4G wireless communication links；In-situ processing center 2 can pass through GPRS link connections high in the clouds
Processing center 4, high in the clouds processing center 4 can pass through GPRS links, TCP/IP link connection distant early warnings module 5.
Sensing module 1 includes some visibility detectors 11, detection icy road or high temperature shape of detection atmospheric visibility
Deformability and some bridge monitoring units of bridge surface temperature at some road monitoring unit 12 of state, detection bridge grafting
13。
Visibility detector 11 calculates discrete photoelectron by laser light scattering and obtains visibility of air.Visibility detector
11 are fixed using stainless steel stent, are placed in both sides of the road, visibility detector 11 by photovoltaic solar system charging work,
And send monitoring result to in-situ processing center 2.Road monitoring unit 12 passes through the earth's surface temperature and humidity sensing installed in earth's surface
Aerial temperature and humidity sensor more than device and earth's surface.Earth's surface Temperature Humidity Sensor temperature and aerial temperature and humidity sensor are used
PT100 RTDs, the electric signal of generation is connected to sensor governor circuit by wire.Surface humidity sensor is vibrated using RC
Device principle, obtains the capacitance of the positive and negative interpolar of circuit to calculate surface humidity；Aerial temperature and humidity sensor more than earth's surface is used
SHT10, to obtain the temperature and humidity information in air, the SHT10 uses water-proofing treatment, thoroughly anti-condensation to damage；In addition, logical
Cross the sensor governor circuit that the analog signal of collection is connected to node by wire.The temperature measured according to the Temperature Humidity Sensor
Degree and humidity, the earth's surface or air ambient information measured with reference to the aerial temperature and humidity sensor, to judge icy road or height
Temperature state.Bridge monitoring unit 13 measures deformability and bridge surface temperature at bridge grafting by changing sensor.Deformation
Sensor is arranged on bridge construction thing using embedded strain gauge and mixed inside the steel frame construction of territory, to monitor the strain of concrete.
Concurrent deformation sensor embedded digital temperature element (TE monitors the temperature of installation site, can be by wire by the analog signal of collection
The sensing unit of node is connected to, the Electronic Numbering that can attach changing sensor is easy to management.
In the present embodiment, sensing module 1 is mainly made up of several sensor nodes, and visibility detector 11 is by swashing
Light scattering principle, calculates discrete photoelectron and obtains visibility of air；Road monitoring unit 12 is by installed in earth's surface and earth's surface
Temperature Humidity Sensor above, according to the temperature and humidity of measurement, the earth's surface or air ambient information measured with reference to sensor is right
Data carry out calculating analysis, to judge icy road or the condition of high temperature；Bridge monitoring unit 13 passes through changing sensor, RTD
Temperature sensor, to measure deformation and bridge surface temperature at bridge grafting, so as to realize the monitoring and early warning to bridge.
Incorporated by reference to Fig. 2, sensing module 1 when signal detection is changed, to detect atmospheric visibility, detection icy road or
Deformability, bridge surface temperature are AD converted again after being filtered amplification respectively at the condition of high temperature, detection bridge grafting.In I
Stage, sensing module 1 obtains analog signal, and analog signal is inputted to signal filtering amplification module.Signal filtering amplification module
It is main to be made up of R1, R2, R4, R5, C1, C2, C3, U1.In the II stages, signal filtering amplification module is filtered to analog signal
Amplification, the AD input ports for being signally attached to MCU controllers after processing.In the III stages, AD conversion is realized.Wherein, simulation letter
Number connection R1 inputs, R1 another ends C1, C3, R2, R2 another ends connection U1 positive input terminals and C2, C1, C2 another end ground connection, U1 negative inputs
End connection R4 and R5, U1 output end connection C3 and R5, R4 another end ground connection.
In-situ processing center 2 is stored with a live early warning proposal inquiry table and one and live early warning proposal inquiry table pair
The live abnormal data ranked queries table answered.Each live early warning scheme correspondence institute in the live early warning proposal inquiry table
State a live abnormal data grade in live abnormal data ranked queries table, the live abnormal data ranked queries table pair
Answer a live abnormal data scope.The live abnormal data scope is according to different atmospheric visibilities, different detection roads
Road freeze or the condition of high temperature, different detection bridge graftings at deformability, different bridge surface temperature cooperate with define it is multiple
Live abnormal data grade.Atmospheric visibility that the in-situ processing center is transmitted according to the sensing module, detection road knot
Deformability, bridge surface temperature are in the live abnormal data ranked queries table at ice or the condition of high temperature, detection bridge grafting
Corresponding live abnormal data grade is inquired, and is looked into according to the live abnormal data grade of inquiry in the live early warning scheme
Corresponding live early warning scheme is inquired in inquiry table.
In the present embodiment, in-situ processing center 2 and sensing node (each sensor i.e. in sensing module 1), early warning
The minimum system of system (i.e. live warning module 3) composition bad weather road conditions automatic early-warning system is a set of Intellisense alarm
System.For traffic safety, three parts constitute a set of with phy-aware, fundamental analysis and management and control, analysis expert and early warning
System, wherein each sensing node of sensing center passes through the measurement to fundamental physical quantities such as bad weather, environment, road conditions
And after processing, perception information is reported in in-situ processing center 2 by Zigbee network；It is responsible for collaboration point in in-situ processing center 2
The various perception informations of analysis processing, with reference to a variety of perception informations, report information to carry out initial analysis and judge for abnormal, according to sentencing
Disconnected result performs road early warning scheme, while live abnormal data is reported into high in the clouds processing center 4 by GPRS；In the processing of high in the clouds
The heart 4, which is set up, substantial amounts of Database Systems, and carrying out expert's level according to the abnormal information reported diagnoses and analyze, and is tied according to diagnosis
Fruit enables distant early warning scheme.Under usual state, bad weather road conditions automatic early-warning system is in low-power consumption or holding state；It is existing
Processing center 2 is set up by Zigbee network and communicated with each nodes heart beat, as shown in figure 3, and obtaining each sensing node
Information；If listening to the generation of some node anomalous event, in-situ processing center 2 will collect other related from junction sensor letter
Breath, and diagnosed according to multiple informixs, diagnostic result is compared with information bank, early warning or alert if is reached, leads at once
Know live warning module 3, carry out sound and light alarm；Simultaneously by type of alarm and field conditions information reporting high in the clouds processing center 4.
In figure 3, Zigbee wireless network architectures are mainly made up of sensing node, processing center, early warning node, pass through nothing
Gauze network mutually sets up communication link.Same type of sensor node in the network, with dual role：That is terminal node and relaying
Node.As terminal node, the node perceived information is passed to via node or processing center by it by wireless network；Make
For via node, the destination node information received is transferred to next via node or processing center by it；It is each to perceive section
Point is distinguished without principal and subordinate's order, but the ID for preserving or writing in advance by data communication in networking is distinguished.
Live warning module 3 performs corresponding early warning according to the live early warning scheme and acted.Live warning module 3 is performed
Early warning action include：Fog lamp alarm is enabled, and adjusts fog lamp flicker frequency；Enable electronic speed limit plate, Horn；Enable report
Warning lamp, Horn, LED display.
In the present embodiment, in-situ processing center 2 can enable live warning module 3 according to different sensing anticipation results.
Can be abnormal according to the detection of visibility, fog lamp alarm is enabled, and according to the big minor adjustment fog lamp flicker frequency of visibility；Can be according to road
Road freezes or high temperature perceives situation, enables electronic speed limit plate, Horn；Alarm can be enabled according to bridge monitoring abnormity early warning
Lamp, Horn, LED display etc..
High in the clouds processing center 4 stores an expert database.Storage and the abnormal number of Different field in the expert database
According to the corresponding diagnostic result of grade, each diagnostic result sets a distant early warning scheme.The high in the clouds processing center according to
The live abnormal data grade of inquiry searches corresponding diagnostic result in the expert database, and according to the diagnosis knot of inquiry
Fruit knows corresponding distant early warning scheme.
In the present embodiment, high in the clouds processing center 4 has database hub and big data analytic function, according at scene
The warning message that reason center 2 is obtained, carries out more accurate analyse and compare；If necessary can floor picture send to high in the clouds
Reason center 4, by the acceleration Subdividing Processing of image, extracts effective information, and is compared with database model, obtains more accurately
Environment, meteorology, crash analysis and judgement；Effective judgment mode and result are fed back into in-situ processing center 2 again, scene is updated
Information bank.
Distant early warning module 5 performs corresponding early warning according to the distant early warning scheme and acted.Distant early warning module 5 is being held
During row, specific scheme can, by modes such as wechat, short message, GPRS, be sent information gathering process and result to traffic
Warning screen, correlation sweet heart person, information report personnel and other users, realize more intelligent traffic trip and early warning, and should
It need not artificially be participated in the case of system is more, realize the intelligent early-warning of broad sense.
As shown in figure 4, the data processing method at in-situ processing center 2 includes：
Step (1), initializes the in-situ processing center；
Step (2), regularly sends networking beacon to the sensing module；
Step (3), judge the sensing module node whether network beacon, be, then perform step (6), otherwise perform
Step (4)；
Step (4), judges whether that sensing node data are reported, is, then performs step (7), otherwise performs step (5)；
Step (5), judges whether to update expert database, is, then perform step (8), otherwise perform step (2)；
Step (6), preserves node ID and replys the in-situ processing center, then perform step (4)；
Step (7), Data Analysis Services, then perform step (9)；
Step (8), updates expert data use-case, returns again to step (2)；
Data after being analyzed and processed in step (9), judgment step (7) whether there is data exception, be then to perform step
(10) step (2), is otherwise performed；
Step (10), multinode Data Management Analysis, then perform step (11)；
Step (11), judges whether to perform early warning, is, then perform step (12), otherwise return to step (2)；
Step (12), early warning node.
After the energization work of in-situ processing center 2 enter initialization apparatus state, complete system clock, timer, peripheral hardware IO,
The setting of the units such as wireless communication module, house dog, and detect the working condition of each working cell；Complete after equipment initialization,
Into multitask working condition, including timing networking sends beacon, receives sensing node information and handle, to receive high in the clouds expert pre-
Sentence use-case and update, perform the live early warning scheme of transmission to early warning node.Multitask coordinated work, realizes and perceives and early warning.
Therefore, step (1), processing center is completed after initialization, and Zigee network timing transmission groups are passed through into step (2)
Net beacon；As shown in Figure 3, mutual transparent data between each node, and reported data eventually arrives at live place to internetwork connection mode
Reason center 2.If in-situ processing center 2 determines whether node network beacon into step (3)；If so, step (6) is performed, will
Node data is preserved and replied；If in-situ processing center 2 is into step (4), count off on the sensing node that determines whether to have networked
According to if so, performing step (7) carries out data analysis；Complete after data analysis, abnormity early warning is determined whether into step (9)
Signal；If so, performing step (10), obtain many sensing node data and analyze, then perform step (11), judge whether to pre-
It is alert；If so, performing step (12), early warning order is sent to early warning node.If into step (5), in-situ processing center 2 will be received
The renewal expert's anticipation system implemented to high in the clouds processing center 4, and perform order.
Referring to Fig. 5, the detection method of sensing module 1 comprises the following steps after initialization sensing module 1：
Step (13), judges whether timing detection time arrives, and is, then performs step (14), otherwise performs step (15)；
Step (14), sensor detection；
Step (15), receives the node network beacon at the in-situ processing center, then performs step (16)；
Step (16), judges whether the node of the sensing module has networked, and is, then performs step (18) and step respectively
(40) step (17), is otherwise performed；
Step (17), networks and preserves；
Step (18), reports node data, then perform step (19)；
Step (40), receives transparent transmission instruction, then perform step (41)；
Step (41), sends transparent transmission instruction, then perform step (19)；
Step (19), into low-power consumption.
After sensing node energization work, equipment initialization is completed first, not with locating before the group-net communication of in-situ processing center 2
In sensor timing detection with receiving network beacon state；After networking successfully, networking content is preserved, into Time Pick-off Units detection
Reported after task, reception network beacon and enter low-power consumption mode after nodal information, completion task.
Therefore, sensing node completes initialization, judges whether timing detection time reaches into step (13), if during timing
Between arrive, into step (14), enter line sensor detection.Sensor is detected as shown in Fig. 2 analog signal passes through operation amplifier and filter
Ripple processing, into AD conversion into digital quantity, and calculates analysis by microprocessor.Sensing node receives networking in step (15)
After beacon, into step (16), judge whether to network；If it is not, into step (17), preserving network data and completing to network；If so,
Into step (18), report sensing node data, after the completion of perform step (19), into low-power consumption mode；Sensing node enters
Step (40), receives the transparent data of other sensing nodes, into step (41), forwards transparent data, after the completion of perform step
Suddenly (19), into low-power consumption mode.
Referring to Fig. 6, the early warning method of operating of live warning module 3 comprises the following steps：
Step (20), initializes the live warning module, then perform step (21)；
Step (21), receives the node network beacon at the in-situ processing center, then performs step (22)；
Step (22), judges whether the live warning module has networked, and is, then performs step (23), otherwise perform step
Suddenly (24)；
Step (23), receives early warning order, and resynchronisation performs step (25) and step (50)；
Step (25), performs early warning, then perform step (26)；
Step (50), receives transparent data, then perform step (51)；
Step (51), reported data, then perform step (26)；
Step (24), networks and preserves, then performs step (26)；
Step (26), into low-power consumption.
After sensing node energization work, equipment initialization is completed first, and each early warning node of live warning module 2 waits existing
Field processing center 2 sends network beacon, after networking successfully, preserves networking content and simultaneously enters low power consumpting state, if receiving by existing
The early warning order that field processing center 2 is sent, according to the scheme of early warning order, performs early warning, completes after early warning order, into low work(
Consumption state.
Therefore, early warning node performs step (20) and completed after initialization, enters if entering and receiving node in step (21)
Net beacon, judges whether to network into step (22)；If it is not, being networked into step (24) and preserving network data, step is performed afterwards
Suddenly (26), into low-power consumption mode.If early warning node receives early warning order into step (23), performed into step (25) pre-
It is alert, after the completion of perform step (26), into low-power consumption mode.If early warning node receives transparent data into step (50), enter
Enter step (51) forwarding transparent data, after the completion of perform step (26), into low-power consumption mode.
Referring to Fig. 7, the data processing method of high in the clouds processing center 4 comprises the following steps：
Step (31), receives each field monitoring data, and resynchronisation performs step (32) and step (33)；
Step (32), database preserves data；
Step (33), judges whether abnormal alarm, is, then performs step (34), otherwise return to step (31)；
Step (34), big data analysis system, then perform step (35)；
Step (35), expert database whether there is use-case, be, then perform step (36), otherwise perform step (37)；
Step (36), distant early warning, then perform step (38)；
Step (37), live more data is obtained, then performs step (38)；
Step (38), analysis expert differentiates, then performs step (39)；
Step (39), updates live use-case in expert database.
High in the clouds processing center 4 can be mainly by large database concept, user's early warning use-case, analysis expert discriminating, distant early warning, long-range
The subsystems such as data acquisition are constituted.High in the clouds processing center 4 receives all data of in-situ processing center 2, and the data for early warning are entered
Row analysis, early warning is carried out according to existing use-case model；If early warning analysis will be obtained not in database use-case with reference to teledata
Take, analysis expert differentiate etc. system carry out analysis and distinguishing, and by result update into local and live use-case, implement remotely it is pre-
It is alert.
High in the clouds processing center 4 enters step (31) and receives in-situ processing centre data, and into step (32), data are protected
Deposit to database；Step (33) is performed simultaneously, determines whether abnormal alarm；If so, into step (34), enabling big data point
Analysis system, completes after analysis, into step (35), judges that the alarm whether there is in database use-case；If known alarm,
Step (36) is performed, distant early warning scheme is carried out；If not known alarm, performs step (37), transfers more field datas, such as take the photograph
As head is taken pictures, after the completion of, into step (38), analysis expert discriminating is carried out, alert situation is judged；After the completion of, perform respectively
Step (36), implements distant early warning scheme, performs step (39), and in-situ processing center 2 enters step (5) and updates live use-case.
In summary, bad weather road conditions automatic early-warning system of the invention, mainly in sensing module 1, in-situ processing
The heart 2, high in the clouds processing center 4,3 four parts of warning module are constituted, and wherein sensing module 1 includes visibility detector, road knot
Ice detection module, bridge temperature detecting module, communication system include Zigbee cordless communication networks, GPRS long distance wireless modules；
In-situ processing center 2, high in the clouds processing center 4 are respectively provided with the functions such as environmental analysis, organizing communication, early warning anticipation, execution early warning；In advance
Alert module 3 includes high in the clouds early warning system, intelligent fog lamp, alarm lamp, Horn, display screen, wechat inquiry, short message push etc.；
Sensing unit, communication system and the source of early warning of front end use solar recharging power supply plan.It is sensing module 1 in the system, existing
Field processing center 2 is generally in low-power consumption monitoring state, and warning module 3 is in holding state；Once in the presence of severe bad weather
Or road conditions, low, icy road, bridge temperature and structure monitoring exception are spent if seeing, live early warning system will be started, and will inspection
Survey data and be sent to computer and analyzing and processing center, handled and analyzed by computer, will predict the outcome and push to related on duty and close
It is personnel, giant-screen, early warning system, realizes intelligent early-warning.
The advantage of the invention is that：1st, classification uses different sensing modules, enters for a variety of severe bad weathers and road conditions
Row monitoring；2nd, quickly analyze and start live early warning system；3rd, excavated by intelligent algorithm and big data, forecast assessment is disliked
Bad situation, and provide distant early warning scheme.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
Any modifications, equivalent substitutions and improvements made within refreshing and principle etc., should be included in the scope of the protection.
Claims (10)
1. a kind of bad weather road conditions automatic early-warning system, it is characterised in that：It includes：
Sensing module, it includes detecting some visibility detectors of atmospheric visibility, detection icy road or the condition of high temperature
Deformability and some bridge monitoring units of bridge surface temperature at some road monitoring unit, detection bridge grafting；
In-situ processing center, its be stored with a live early warning proposal inquiry table and one it is corresponding with scene early warning proposal inquiry table
Live abnormal data ranked queries table, each live early warning scheme correspondence in the live early warning proposal inquiry table is described
A live abnormal data grade in live abnormal data ranked queries table, the live abnormal data ranked queries table correspondence
One live abnormal data scope, the live abnormal data scope is according to different atmospheric visibilities, different detection roads
Freeze or the condition of high temperature, different detection bridge graftings at deformability, different bridge surface temperature cooperate with define it is multiple existing
Field abnormal data grade；Atmospheric visibility that the in-situ processing center is transmitted according to the sensing module, detection icy road
Or deformability, bridge surface temperature are looked into the live abnormal data ranked queries table at the condition of high temperature, detection bridge grafting
Ask corresponding live abnormal data grade, and according to the live abnormal data grade of inquiry in the live early warning proposal inquiry
Corresponding live early warning scheme is inquired in table；
Live warning module, it performs corresponding early warning according to the live early warning scheme and acted；
High in the clouds processing center, it stores storage and Different field abnormal data in an expert database, the expert database
The corresponding diagnostic result of grade, each diagnostic result sets a distant early warning scheme；The high in the clouds processing center is according to looking into
The live abnormal data grade of inquiry searches corresponding diagnostic result in the expert database, and according to the diagnostic result of inquiry
Know corresponding distant early warning scheme；
Distant early warning module, it performs corresponding early warning according to the distant early warning scheme and acted.
2. bad weather road conditions automatic early-warning system as claimed in claim 1, it is characterised in that：The visibility detector leads to
Cross the discrete photoelectron of laser light scattering measuring and calculating and obtain visibility of air.
3. bad weather road conditions automatic early-warning system as claimed in claim 1, it is characterised in that：The road monitoring unit leads to
The aerial temperature and humidity sensor crossed more than the earth's surface Temperature Humidity Sensor and earth's surface of earth's surface, according to the temperature and humidity sensing
The temperature and humidity of device measurement, the earth's surface or air ambient information measured with reference to the air ambient sensor, to judge road
Freeze or the condition of high temperature.
4. bad weather road conditions automatic early-warning system as claimed in claim 1, it is characterised in that：The bridge monitoring unit leads to
Cross deformability and bridge surface temperature at the changing sensor of embedded digital temperature element (TE, measurement bridge grafting.
5. bad weather road conditions automatic early-warning system as claimed in claim 1, it is characterised in that：The live warning module is held
Capable early warning action includes：Fog lamp alarm is enabled, and adjusts fog lamp flicker frequency；Enable electronic speed limit plate, Horn；Enable
Alarm lamp, Horn, LED display.
6. bad weather road conditions automatic early-warning system as claimed in claim 1, it is characterised in that：The sensing module and described
Live warning module connects the in-situ processing center by Zigbee network respectively；The sensing module is changed in signal detection
When, to detecting atmospheric visibility, detection icy road or the condition of high temperature, detecting deformability, bridge surface temperature at bridge grafting
Degree is AD converted again after being filtered amplification respectively.
7. bad weather road conditions automatic early-warning system as claimed in claim 1, it is characterised in that：The in-situ processing center
Data processing method includes：
Step (1), initializes the in-situ processing center；
Step (2), regularly sends networking beacon to the sensing module；
Step (3), judge the sensing module node whether network beacon, be, then perform step (6), otherwise perform step
(4)；
Step (4), judges whether that sensing node data are reported, is, then performs step (7), otherwise performs step (5)；
Step (5), judges whether to update expert database, is, then perform step (8), otherwise perform step (2)；
Step (6), preserves node ID and replys the in-situ processing center, then perform step (4)；
Step (7), Data Analysis Services, then perform step (9)；
Step (8), updates expert data use-case, returns again to step (2)；
Data after being analyzed and processed in step (9), judgment step (7) whether there is data exception, be, then perform step (10),
Otherwise step (2) is performed；
Step (10), multinode Data Management Analysis, then perform step (11)；
Step (11), judges whether to perform early warning, is, then perform step (12), otherwise return to step (2)；
Step (12), early warning node.
8. bad weather road conditions automatic early-warning system as claimed in claim 1, it is characterised in that：The detection of the sensing module
Method comprises the following steps after the sensing module is initialized：
Step (13), judges whether timing detection time arrives, and is, then performs step (14), otherwise performs step (15)；
Step (14), sensor detection；
Step (15), receives the node network beacon at the in-situ processing center, then performs step (16)；
Step (16), judges whether the node of the sensing module has networked, and is, then performs step (18) and step respectively
(40) step (17), is otherwise performed；
Step (17), networks and preserves；
Step (18), reports node data, then perform step (19)；
Step (40), receives transparent transmission instruction, then perform step (41)；
Step (41), sends transparent transmission instruction, then perform step (19)；
Step (19), into low-power consumption.
9. bad weather road conditions automatic early-warning system as claimed in claim 1, it is characterised in that：The live warning module
Early warning method of operating comprises the following steps：
Step (20), initializes the live warning module, then perform step (21)；
Step (21), receives the node network beacon at the in-situ processing center, then performs step (22)；
Step (22), judges whether the live warning module has networked, and is, then performs step (23), otherwise perform step
(24)；
Step (23), receives early warning order, and resynchronisation performs step (25) and step (50)；
Step (25), performs early warning, then perform step (26)；
Step (50), receives transparent data, then perform step (51)；
Step (51), reported data, then perform step (26)；
Step (24), networks and preserves, then performs step (26)；
Step (26), into low-power consumption.
10. bad weather road conditions automatic early-warning system as claimed in claim 1, it is characterised in that：The high in the clouds processing center
Data processing method comprise the following steps：
Step (31), receives each field monitoring data, and resynchronisation performs step (32) and step (33)；
Step (32), database preserves data；
Step (33), judges whether abnormal alarm, is, then performs step (34), otherwise return to step (31)；
Step (34), big data analysis system, then perform step (35)；
Step (35), expert database whether there is use-case, be, then perform step (36), otherwise perform step (37)；
Step (36), distant early warning, then perform step (38)；
Step (37), live more data is obtained, then performs step (38)；
Step (38), analysis expert differentiates, then performs step (39)；
Step (39), updates live use-case in expert database.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710422411.3A CN107025797A (en) | 2017-06-07 | 2017-06-07 | A kind of bad weather road conditions automatic early-warning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710422411.3A CN107025797A (en) | 2017-06-07 | 2017-06-07 | A kind of bad weather road conditions automatic early-warning system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107025797A true CN107025797A (en) | 2017-08-08 |
Family
ID=59531316
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710422411.3A Pending CN107025797A (en) | 2017-06-07 | 2017-06-07 | A kind of bad weather road conditions automatic early-warning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107025797A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110258375A (en) * | 2018-03-12 | 2019-09-20 | 中移物联网有限公司 | A kind of traffic guidance method, system and computer readable storage medium |
| CN110363996A (en) * | 2019-07-30 | 2019-10-22 | 西安科诺维智能交通研究院有限公司 | A kind of Regional Road visibility detector of traffic safety induction ad hoc network |
| CN111415491A (en) * | 2020-04-07 | 2020-07-14 | 齐鲁交通信息集团有限公司 | Intelligent monitoring and early warning system based on Internet of things technology under severe meteorological conditions |
| CN112116780A (en) * | 2020-07-31 | 2020-12-22 | 中标慧安信息技术股份有限公司 | Road icing monitoring and early warning method based on Internet of things |
| CN115171379A (en) * | 2022-07-01 | 2022-10-11 | 安徽远航交通科技有限公司 | Emergency response control system based on intelligent traffic |
| CN115166867A (en) * | 2022-07-04 | 2022-10-11 | 安徽远航交通科技有限公司 | All-weather real-time monitoring system based on operation area |
| CN116844307A (en) * | 2023-07-24 | 2023-10-03 | 广州市水务规划勘测设计研究院有限公司 | Multi-scenario mountain flood early warning method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101419749A (en) * | 2008-11-20 | 2009-04-29 | 陈伟 | Low-visibility road traffic guiding method |
| CN101561305A (en) * | 2009-06-05 | 2009-10-21 | 长沙理工大学 | Monitoring and early-warning system and monitoring and early-warning method of accumulated water under bridge or on road surface of tunnel |
| KR20100118928A (en) * | 2009-04-29 | 2010-11-08 | 바이어스아이티 주식회사 | System and method for sensing noxious environment information using complex multi sensor module based on ubiquitous sensor network |
| CN102436762A (en) * | 2011-09-20 | 2012-05-02 | 浙江大学城市学院 | Highway intelligent aided guidance system based on GPRS (General Packet Radio Service)/CDMA (Code Division Multiple Access) wireless network and control method thereof |
| CN104699049A (en) * | 2015-02-11 | 2015-06-10 | 深圳市志奋领科技有限公司 | Field monitoring method for bridges and tunnels through 4G communication |
-
2017
- 2017-06-07 CN CN201710422411.3A patent/CN107025797A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101419749A (en) * | 2008-11-20 | 2009-04-29 | 陈伟 | Low-visibility road traffic guiding method |
| KR20100118928A (en) * | 2009-04-29 | 2010-11-08 | 바이어스아이티 주식회사 | System and method for sensing noxious environment information using complex multi sensor module based on ubiquitous sensor network |
| CN101561305A (en) * | 2009-06-05 | 2009-10-21 | 长沙理工大学 | Monitoring and early-warning system and monitoring and early-warning method of accumulated water under bridge or on road surface of tunnel |
| CN102436762A (en) * | 2011-09-20 | 2012-05-02 | 浙江大学城市学院 | Highway intelligent aided guidance system based on GPRS (General Packet Radio Service)/CDMA (Code Division Multiple Access) wireless network and control method thereof |
| CN104699049A (en) * | 2015-02-11 | 2015-06-10 | 深圳市志奋领科技有限公司 | Field monitoring method for bridges and tunnels through 4G communication |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110258375A (en) * | 2018-03-12 | 2019-09-20 | 中移物联网有限公司 | A kind of traffic guidance method, system and computer readable storage medium |
| CN110363996A (en) * | 2019-07-30 | 2019-10-22 | 西安科诺维智能交通研究院有限公司 | A kind of Regional Road visibility detector of traffic safety induction ad hoc network |
| CN111415491A (en) * | 2020-04-07 | 2020-07-14 | 齐鲁交通信息集团有限公司 | Intelligent monitoring and early warning system based on Internet of things technology under severe meteorological conditions |
| CN112116780A (en) * | 2020-07-31 | 2020-12-22 | 中标慧安信息技术股份有限公司 | Road icing monitoring and early warning method based on Internet of things |
| CN115171379A (en) * | 2022-07-01 | 2022-10-11 | 安徽远航交通科技有限公司 | Emergency response control system based on intelligent traffic |
| CN115171379B (en) * | 2022-07-01 | 2024-02-13 | 安徽远航交通科技有限公司 | Emergency response control system based on intelligent traffic |
| CN115166867A (en) * | 2022-07-04 | 2022-10-11 | 安徽远航交通科技有限公司 | All-weather real-time monitoring system based on operation area |
| CN115166867B (en) * | 2022-07-04 | 2024-03-12 | 安徽远航交通科技有限公司 | All-weather real-time monitoring system based on operation area |
| CN116844307A (en) * | 2023-07-24 | 2023-10-03 | 广州市水务规划勘测设计研究院有限公司 | Multi-scenario mountain flood early warning method |
| CN116844307B (en) * | 2023-07-24 | 2023-12-26 | 广州市水务规划勘测设计研究院有限公司 | Multi-scenario mountain flood early warning method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107025797A (en) | A kind of bad weather road conditions automatic early-warning system | |
| CN107277443B (en) | Large-range peripheral safety monitoring method and system | |
| CN109872509A (en) | Massif Geological Hazards Monitoring and early warning system and method based on the twin driving of number | |
| CN110996259B (en) | Intelligent garbage monitoring and clearing method and device based on edge calculation | |
| CN111063450A (en) | Epidemic suspected person screening method and system based on wearable body temperature sensor | |
| CN105938571B (en) | Insect identifies number system and method | |
| CN113793234B (en) | Wisdom garden platform based on digit twin technique | |
| CN110728332A (en) | Agricultural data analysis method and system based on Internet of things | |
| CN105866364A (en) | Groundwater pollution detection evaluation system | |
| CN107515842B (en) | A kind of urban population density dynamic prediction method and system | |
| CN205809598U (en) | A kind of water resources fund based on Internet of Things management platform | |
| CN103426043A (en) | Crop monitoring, early warning and emergency management system | |
| CN111413259B (en) | Real-time monitoring and tracing method for air exhaust gas | |
| CN103558132A (en) | Prewarning system for dust pollution in air | |
| CN110012442A (en) | A kind of informatization field management system with real-time monitoring and control | |
| CN209545749U (en) | A kind of land, sea and air integration ecological environmental monitoring system | |
| CN108268972A (en) | Led to based on day and monitor prewarning analysis system and method on-line with the aviation integral admittance electric power facility of big-dipper satellite | |
| CN109115268A (en) | Intelligent agriculture plant growth information acquisition system | |
| CN113053063A (en) | Mobile terminal-based disaster online disposal flow implementation method | |
| CN111811578A (en) | Forest growth simulation prediction system based on forest model | |
| CN206773920U (en) | A kind of sensing circuit of bad weather road conditions automatic early-warning system | |
| CN113273555A (en) | Artificial intelligence insect situation prediction system and prediction method | |
| CN205561962U (en) | Regional water level monitoring system of ponding monitoring system and zigbee | |
| CN106657337A (en) | Rural data acquisition management system based on internet of lamps | |
| CN109960203A (en) | A kind of monomer structure outdoor sign object monitoring system based on artificial intelligence |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170808 |
|
| RJ01 | Rejection of invention patent application after publication |