CN102708695A - Road vehicle intelligent detection method based on HMC1022 magnetic sensor - Google Patents
Road vehicle intelligent detection method based on HMC1022 magnetic sensor Download PDFInfo
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- CN102708695A CN102708695A CN2012101774710A CN201210177471A CN102708695A CN 102708695 A CN102708695 A CN 102708695A CN 2012101774710 A CN2012101774710 A CN 2012101774710A CN 201210177471 A CN201210177471 A CN 201210177471A CN 102708695 A CN102708695 A CN 102708695A
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Abstract
The invention relates to a road vehicle intelligent detection method based on an HMC1022 magnetic sensor, which includes the following steps: calibrating the HMC1022 magnetic sensor, measuring the standard magnetic field intensity of the HMC1022 magnetic sensor (namely the magnetic field intensity when no vehicle passes by), and measuring the magnetic field intensity when vehicles pass by, amplifying the signal of the measured magnetic field intensity; selecting an appropriate threshold value to judge the signal so as to judge whether the vehicles pass by; and in order to avoid signal drift, resetting at fixed times through the way of programming so as to enable the HMC1022 magnetic sensor to be under normal working state. The method can precisely judge whether the vehicles pass by, and the detection precision is high and is free of the influence of the weather, so the method is easy to popularize. The road vehicle intelligent detection method is widely applicable for detection of the vehicles on roads and bridges and can greatly relieve the embarrassed situation of traffic congestion in cities, or the road vehicle intelligent detection method is applied in the management of a parking lot and can improve the working efficiency and realize intelligent management.
Description
Technical field
A kind of road vehicle intelligent detecting method based on HMC1022 of the main elaboration of this invention, this method can be widely used in the vehicle/vehicle Flow Detection of various occasions.
Background technology
Along with fast development of Chinese economy, it is crisscross that the road in city also becomes gradually, and conveniently traffic occupies extremely important position in people's life, and traffic safety problem is the most important thing.The Chinese city road is intricate, and the intersection is numerous, all directions driving vehicle and pedestrian all will crossing compile through, not only cause obstruction to traffic, and all kinds of traffic hazards take place easily.The crossing traffic hazard takes place frequently, and its main cause is the conflict point problem, causes owing to the signal lamp timing is unreasonable to a great extent.China's rapid economic development in recent years, private car are also more and more, but traffic control still continues original timing controlled, and on the basis that vehicle flowrate obviously increases, this control drawback is also more and more obvious.At this moment, if replace current time control method, can alleviate the problems referred to above greatly by a kind of Intelligentized control method of traffic lights.From the development trend of external traffic lights control, we are not difficult to find out that modern traffic control constantly develops towards intelligentized direction.This shows that wireless technology, automated control technology have indispensable status in traffic lights control field.
The design is basic as control with the STC12C5A60S2 single-chip microcomputer, and proposing with HMC1022 is the distributed information of vehicle flowrate collection of single node and the control system of information acquisition sensing.A plurality of earth magnetism sensing node micro controller link through serial ports wireless module and main control microcomputer system, and detected information of vehicle flowrate is fed back to the master control host computer, thereby have realized the detection to whole intersection vehicle flux.Controller is realized the intellectuality control to all directions traffic lights based on each lane flow quantitative change situation.
Adopt micro computer to carry out road vehicle parameter detecting, information processing and control in real time; For improving accuracy of detection and aspects such as product stability, energy savings important effect is arranged all; And road vehicle information provides important data foundation for realizing the intelligent control of traffic lights, so the degree of accuracy of road vehicle parameter detecting system and intelligent degree receive the concern of industry always.Therefore the road vehicle detection technique based on magnetoresistive transducer is very a practicality and an important techniques, and its development prospect is considerable.
Summary of the invention
Characteristics such as the present invention is devoted to solve the technical matters of present urban traffic blocking, proposes the intelligent method that detects of a kind of road vehicle based on HMC1022, and this method has the accuracy of detection height, and stability is strong.
The technical scheme that realizes the foregoing invention purpose is following:
A kind of road vehicle intelligent detecting method based on HMC1022 is characterized in that, comprises the steps:
Step 4, utilize the average filter method, the absolute value of the difference of the magnetic field intensity that obtains in the magnetic field intensity that obtains in the step 3 and the step 2 is carried out Filtering Processing, obtain data value CHA;
Step 5, data value CHA is carried out binary conversion treatment,, when CHA＞T, be provided with car mark car_flag=1, otherwise car_flag=0 is set according to the data signalization fluctuation threshold value T of test.Wherein car_flag remained 0 o'clock always, and expression does not have the vehicle process, when car_flag becomes 1, represented that this detection period has the vehicle process;
Step 6, define car: when car_flag becomes 1 by 0; Car counter car_flag_num and no car counter no_car_flag_num zero clearing simultaneously will be arranged; Car counter car_flag_num is arranged since 0 counting; In car_flag is maintained 1 process,, think that then there is a car process this detection period if the count value that car counter car_flag_num arranged has a car count threshold N more than or equal to predefined;
Step 7, definite no car: when car_flag becomes 0 by 1; Car counter car_flag_num and no car counter no_car_flag_num zero clearing simultaneously will be arranged; No car counter no_car_flag_num is since 0 counting; In car_flag is maintained 0 process, if the count value of not having car counter no_car_flag_num, thinks then that this detection period does not have the vehicle process more than or equal to predefined no car count threshold M;
Step 8, disturb to judge: be maintained 1 or be in 0 the process at car_flag; The count value that car counter car_flag_num arranged has a car count threshold N less than predefined; And the count value of not having car counter no_car_flag_num jumps to step 2 less than predefined no car count threshold M;
Step 9, software set/reset: be provided with and force set/reset timer conter T
0, work as T
0When count value is overflowed, then regularly interrupt forcing set/reset twin shaft magnetoresistive transducer.
Description of drawings
Fig. 1 is a system flowchart of the present invention;
Fig. 2 is a hardware system block diagram of the present invention;
Fig. 3 is a measured waveform of the present invention.
Embodiment
Step 4, utilize the average filter method, the absolute value of the difference of the magnetic field intensity that obtains in the magnetic field intensity that obtains in the step 3 and the step 2 is carried out Filtering Processing, obtain data value CHA;
Step 5, data value CHA is carried out binary conversion treatment,, when CHA＞T, be provided with car mark car_flag=1, otherwise car_flag=0 is set according to the data signalization fluctuation threshold value T of test.Wherein car_flag remained 0 o'clock always, and expression does not have the vehicle process, when car_flag becomes 1, represented that this detection period has the vehicle process;
Step 6, define car: when car_flag becomes 1 by 0; Car counter car_flag_num and no car counter no_car_flag_num zero clearing simultaneously will be arranged; Car counter car_flag_num is arranged since 0 counting; In car_flag is maintained 1 process,, think that then there is a car process this detection period if the count value that car counter car_flag_num arranged has a car count threshold N more than or equal to predefined;
Step 7, definite no car: when car_flag becomes 0 by 1; Car counter car_flag_num and no car counter no_car_flag_num zero clearing simultaneously will be arranged; No car counter no_car_flag_num is since 0 counting; In car_flag is maintained 0 process, if the count value of not having car counter no_car_flag_num, thinks then that this detection period does not have the vehicle process more than or equal to predefined no car count threshold M;
Step 8, disturb to judge: be maintained 1 or be in 0 the process at car_flag; The count value that car counter car_flag_num arranged has a car count threshold N less than predefined; And the count value of not having car counter no_car_flag_num jumps to step 2 less than predefined no car count threshold M;
Step 9, software set/reset: be provided with and force set/reset timer conter T
0, work as T
0When count value is overflowed, then regularly interrupt forcing set/reset twin shaft magnetoresistive transducer.
Shown in Figure 2 is the hardware platform that the inventive method adopts, and mainly is made up of magnetoresistive transducer module, amplifier module, wireless communication module, processor module and power module etc.Magnetoresistive transducer module and processor module are accomplished vehicle detection through the inventive method, and processor module sends result to other equipment through wireless communication module, and power module then is the total system power supply.This method can be widely used in the vehicle detection of road, bridge, can alleviate the awkward present situation of urban traffic blocking greatly, or is applied to the management in parking lot, can increase work efficiency, and realizes intelligent management.
Product of the present invention is placed the scene test that experimentizes, when the sensor node test has obtained 100 cars, and actual be 95 through vehicle, detecting accuracy rate is 95%.Facts have proved that the detection accuracy rate of this method is still than higher.
Claims (1)
1. the road vehicle intelligent detecting method based on HMC1022 comprises the steps:
Step 1, calibration twin shaft magnetoresistive transducer HMC1022;
Step 2, obtain the synthetic environmental magnetic field intensity of x, y diaxon;
Step 3, obtain the magnetic field intensity of the synthetic vehicle of x, y diaxon through out-of-date generation;
Step 4, utilize the average filter method, the absolute value of the difference of the magnetic field intensity that obtains in the magnetic field intensity that obtains in the step 3 and the step 2 is carried out Filtering Processing, obtain data value CHA;
Step 5, data value CHA is carried out binary conversion treatment,, when CHA＞T, be provided with car mark car_flag=1, otherwise car_flag=0 is set according to the data signalization fluctuation threshold value T of test.Wherein car_flag remained 0 o'clock always, and expression does not have the vehicle process, when car_flag becomes 1, represented that this detection period has the vehicle process;
Step 6, define car: when car_flag becomes 1 by 0; Car counter car_flag_num and no car counter no_car_flag_num zero clearing simultaneously will be arranged; Car counter car_flag_num is arranged since 0 counting; In car_flag is maintained 1 process,, think that then there is a car process this detection period if the count value that car counter car_flag_num arranged has a car count threshold N more than or equal to predefined;
Step 7, definite no car: when car_flag becomes 0 by 1; Car counter car_flag_num and no car counter no_car_flag_num zero clearing simultaneously will be arranged; No car counter no_car_flag num is since 0 counting; In car_flag is maintained 0 process, if the count value of not having car counter no_car_flag_num, thinks then that this detection period does not have the vehicle process more than or equal to predefined no car count threshold M;
Step 8, disturb to judge: be maintained 1 or be in 0 the process at car_flag; The count value that car counter car_flag_num arranged has a car count threshold N less than predefined; And the count value of not having car counter no_car_flag_num jumps to step 2 less than predefined no car count threshold M;
Step 9, software set/reset: be provided with and force set/reset timer conter T
0, work as T
0When count value is overflowed, then regularly interrupt forcing set/reset twin shaft magnetoresistive transducer.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103247180A (en) * | 2013-05-10 | 2013-08-14 | 秦旭彦 | Micropower wireless geomagnetism traffic flow detector |
| CN104933871A (en) * | 2015-07-16 | 2015-09-23 | 苏州大学张家港工业技术研究院 | Method and system for detecting traffic vehicles |
| CN111311927A (en) * | 2020-01-17 | 2020-06-19 | 深圳市戴升智能科技有限公司 | Traffic flow detection method and device, computer equipment and storage medium |
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| CN101217002A (en) * | 2008-01-03 | 2008-07-09 | 中科院嘉兴中心微系统所分中心 | A wireless transducer network device based on unloading lot detection based on magnetic sensitive technology |
| CN101694746A (en) * | 2009-10-19 | 2010-04-14 | 浙江大学 | Magnetic resistant vehicle quantity and speed detecting node based on Zigbee wireless protocol and use methods thereof |
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| CN101217002A (en) * | 2008-01-03 | 2008-07-09 | 中科院嘉兴中心微系统所分中心 | A wireless transducer network device based on unloading lot detection based on magnetic sensitive technology |
| CN101694746A (en) * | 2009-10-19 | 2010-04-14 | 浙江大学 | Magnetic resistant vehicle quantity and speed detecting node based on Zigbee wireless protocol and use methods thereof |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103247180A (en) * | 2013-05-10 | 2013-08-14 | 秦旭彦 | Micropower wireless geomagnetism traffic flow detector |
| CN104933871A (en) * | 2015-07-16 | 2015-09-23 | 苏州大学张家港工业技术研究院 | Method and system for detecting traffic vehicles |
| CN111311927A (en) * | 2020-01-17 | 2020-06-19 | 深圳市戴升智能科技有限公司 | Traffic flow detection method and device, computer equipment and storage medium |
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Application publication date: 20121003 |