CN204680152U - Based on the autoalarm of brain wave identification new vehicle accident emergency rescuing - Google Patents

Based on the autoalarm of brain wave identification new vehicle accident emergency rescuing Download PDF

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Publication number
CN204680152U
CN204680152U CN201520370269.9U CN201520370269U CN204680152U CN 204680152 U CN204680152 U CN 204680152U CN 201520370269 U CN201520370269 U CN 201520370269U CN 204680152 U CN204680152 U CN 204680152U
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China
Prior art keywords
autoalarm
brain wave
new vehicle
accident emergency
vehicle accident
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CN201520370269.9U
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Chinese (zh)
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贾丰源
关志超
黎忠华
蔡泽杰
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Shenzhen Rong Heng Industry Group Co ltd
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Shenzhen Rong Heng Industry Group Co ltd
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Abstract

The utility model discloses the autoalarm based on brain wave identification new vehicle accident emergency rescuing, autoalarm comprises brain wave sensor, high-gain small signals amplification device, MCU single-chip microcomputer, GPRS locating device, signal transmitting apparatus, wireless terminal, power module, indicating lamp module, bluetooth module, brain wave sensor output terminal electrical connection high-gain small signals amplification device, it is inner that high-gain small signals amplification device is arranged on MCU single-chip microcomputer, MCU single-chip microcomputer electrical connection GPRS locating device, signal transmitting apparatus, power module, indicating lamp module, autoalarm is connected with wireless terminal wireless signal by signal transmitting apparatus.The utility model autoalarm functionally can realize car accident emergency relief automatic alarm response time the shortizationest, incident classification is differentiated automatically, the rate of false alarm of accident alarming is dropped to minimum level, thus effectively reduces the manpower and materials of accident treatment center to accident alarming process.

Description

Based on the autoalarm of brain wave identification new vehicle accident emergency rescuing
Technical field
The utility model relates to intelligence field of traffic control, relates to a kind of autoalarm based on brain wave identification new vehicle accident emergency rescuing specifically.
Background technology
Along with the development that Chinese Transportation facilities is built, traffic safety problem also becomes increasingly conspicuous.Because road conditions is not yet done, traffic climate variability, the factor impacts such as driver's high speed, long-time fatigue driving behavior, easily bring out great pernicious traffic hazard.Add car accident automatic alarm system, communication system infrastructure is not enough, car accident is difficult to the information such as Timeliness coverage position and situation after occurring, and implements effectively to rescue disposal, often causes serious Loss of Life and property.
When how there is great car accident under road traffic environment, vehicle can automatic alarm in time, casualty can be rescued in time, direct personnel's injures and deaths of bringing thus and serious economic loss can be avoided, and huge social negative effect, this respect becomes the major issue that field is disposed in the emergency relief of puzzlement car accident always.China's road traffic accident emergency relief level be no matter rescue technique and horizontal in, or in rescue Theories and methods, all have larger gap with developed country, especially lack perfect car accident emergency relief and dispose system.
In prior art, car accident emergency relief autoalarm, mainly produce information warning by vehicle sensors when vehicle has an accident, namely sensor processes for vehicle, or carried out the warning of car accident by driver by artificial warning device, notify that rescue party carries out rescue process.Therefore there is the following shortcoming:
1. the use flexibility ratio of vehicle sensors is inadequate, the effect of ray machine emergency rescue alarm when the installation site as vehicle crash sensor directly affects vehicle.
2. mechanical fault easily impacts the sensor that vehicle uses, if the scraping of pedestrian and bicycle is on the impact of sensor.
3. vehicle-mounted artificial warning device needs manual operation, and range of application is comparatively limited to, and when vehicle generation major accident, passengers inside the car, due to injury, may not possess the ability of manual operation warning device.
Therefore, the warning device of traditional car accident emergency relief needs to improve.
Utility model content
For deficiency of the prior art, the technical problems to be solved in the utility model there are provided a kind of autoalarm based on brain wave identification new vehicle accident emergency rescuing, this autoalarm is the brain wave information by gathering human brain, analyze the brain wave feedback information of human brain under emergency episode state appears in vehicle, judgement accident size, carries out automatic alarm.
For solving the problems of the technologies described above, the utility model is realized by following scheme: a kind of autoalarm based on brain wave identification new vehicle accident emergency rescuing, described autoalarm comprises brain wave sensor, high-gain small signals amplification device, MCU single-chip microcomputer, GPRS locating device, signal transmitting apparatus, wireless terminal, power module, indicating lamp module, bluetooth module, described brain wave sensor output terminal electrical connection high-gain small signals amplification device, it is inner that high-gain small signals amplification device is arranged on MCU single-chip microcomputer, described MCU single-chip microcomputer electrical connection GPRS locating device, signal transmitting apparatus, power module, indicating lamp module, described autoalarm is connected with wireless terminal wireless signal by signal transmitting apparatus.
Further, described MCU single-chip microcomputer model is MSP430F552X.
Further, described bluetooth module is double mode bluetooth module, and its model is CC2564.
Further, what described signal transmitting apparatus adopted is RS232 serial ports, and what this RS232 serial ports adopted is model is MAX3232ESE low-power transmission device and receiver.
Further, being electrically connected with model in described power module circuitry is AMS1117-3.3 voltage stabilizer.
Further, described indicating lamp module is provided with four pilot lamp, and each pilot lamp is electrically connected with the resistance of a 1K respectively.
Further, be electrically connected with wave filter in described bluetooth module circuit, the model of this wave filter is LFB212G45SG8A127.
Further, described bluetooth module SLOW_CLK end is electrically connected with resistance R9, and the other end electrical connection model of resistance R9 is 32768HZ crystal oscillator.
Relative to prior art, the beneficial effects of the utility model are: the utility model autoalarm functionally can realize car accident emergency relief automatic alarm response time the shortizationest, incident classification is differentiated automatically, the rate of false alarm of accident alarming is dropped to minimum level, thus effectively reduces accident treatment center to the manpower and materials to accident alarming process.
Accompanying drawing explanation
Fig. 1 is the autoalarm theory diagram of the utility model car accident emergency relief.
Fig. 2 is the utility model autoalarm circuit diagram.
Fig. 3 is the single-chip microcomputer enlarged drawing in Fig. 2.
Fig. 4 is the bluetooth module circuit enlarged drawing in Fig. 2.
Fig. 5 is circuit enlarged drawing on the left of the bluetooth module circuit in Fig. 2.
Fig. 6 is circuit enlarged drawing on the right side of the bluetooth module circuit in Fig. 2.
Fig. 7 is the utility model power module circuitry figure.
Fig. 8 is the utility model indicating lamp module circuit diagram.
Fig. 9 is the RS232 serial port circuit figure of the utility model signal transmitting apparatus.
Figure 10 is each parts connection diagram of the utility model autoalarm.
Mark in accompanying drawing: brain wave sensor 1, high-gain small signals amplification device 2, MCU single-chip microcomputer 3, GPRS locating device 4, signal transmitting apparatus 5, wireless terminal 6, power module 7, indicating lamp module 8, bluetooth module 9.
Embodiment
Below in conjunction with drawings and Examples, the technical solution of the utility model is explained in detail.
Please refer to accompanying drawing 1 ~ 10, a kind of autoalarm based on brain wave identification new vehicle accident emergency rescuing, described autoalarm comprises brain wave sensor 1, high-gain small signals amplification device 2, MCU single-chip microcomputer 3, GPRS locating device 4, signal transmitting apparatus 5, wireless terminal 6, power module 7, indicating lamp module 8, bluetooth module 9, described brain wave sensor 1 output terminal electrical connection high-gain small signals amplification device 2, it is inner that high-gain small signals amplification device 2 is arranged on MCU single-chip microcomputer 3, described MCU single-chip microcomputer 3 is electrically connected GPRS locating device 4, signal transmitting apparatus 5, power module 7, indicating lamp module 8, described autoalarm is connected with wireless terminal 6 wireless signal by signal transmitting apparatus 5.Described MCU single-chip microcomputer model is MSP430F552X, described bluetooth module is double mode bluetooth module, its model is CC2564, what described signal transmitting apparatus 5 adopted is RS232 serial ports, what this RS232 serial ports adopted is model is MAX3232ESE low-power transmission device and receiver, being electrically connected with model in described power module 7 circuit is AMS1117-3.3 voltage stabilizer, described indicating lamp module 8 is provided with four pilot lamp, each pilot lamp is electrically connected with the resistance of a 1K respectively, wave filter is electrically connected with in described bluetooth module circuit, the model of this wave filter is LFB212G45SG8A127, described bluetooth module SLOW_CLK end is electrically connected with resistance R9, the other end electrical connection model of resistance R9 is 32768HZ crystal oscillator.
As shown in Figure 1, the utility model is the MCU microprocessor U1(and MCU single-chip microcomputer 3 that are inputted by J6 by resistance brain wave sensor 1), simulating signal shaping is carried out by the high-gain small signals amplification device 2 of MCU inside, and send into U1 internal simulation and digital quantizer carries out AD conversion, outside brain wave waveform transformation is become Serial No..By J3, the utility model car accident emergency relief autoalarm is connected with PC, by the serial ports of PC, the characteristic that people's brain wave is summed up is sent to MCU single-chip microcomputer 3, and exists in U1.When the characteristic of people's brain wave and the Accident Characteristic comparing of pre-stored of the detection of car accident emergency relief autoalarm, when discovery accident occurs, then U1 control U2, by bluetooth module, warning message is sent to vehicle-mounted GPRS data terminal, merge gps data and warning message is sent to accident rescue command centre, complete accident alarming.The utility model autoalarm functionally can realize car accident emergency relief automatic alarm response time the shortizationest, incident classification is differentiated automatically, the rate of false alarm of accident alarming is dropped to minimum level, thus effectively reduces accident treatment center to the manpower and materials to accident alarming process.
The foregoing is only preferred implementation of the present utility model; not thereby the scope of the claims of the present utility model is limited; every utilize the utility model instructions and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical field, be all in like manner included in scope of patent protection of the present utility model.

Claims (8)

1. based on the autoalarm of brain wave identification new vehicle accident emergency rescuing, it is characterized in that: described autoalarm comprises brain wave sensor (1), high-gain small signals amplification device (2), MCU single-chip microcomputer (3), GPRS locating device (4), signal transmitting apparatus (5), wireless terminal (6), power module (7), indicating lamp module (8), bluetooth module (9), described brain wave sensor (1) output terminal electrical connection high-gain small signals amplification device (2), it is inner that high-gain small signals amplification device (2) is arranged on MCU single-chip microcomputer (3), described MCU single-chip microcomputer (3) electrical connection GPRS locating device (4), signal transmitting apparatus (5), power module (7), indicating lamp module (8), described autoalarm is connected with wireless terminal (6) wireless signal by signal transmitting apparatus (5).
2. the autoalarm based on brain wave identification new vehicle accident emergency rescuing according to claim 1, is characterized in that: described MCU single-chip microcomputer model is according to MSP430F552X.
3. the autoalarm based on brain wave identification new vehicle accident emergency rescuing according to claim 1, it is characterized in that: described bluetooth module is double mode bluetooth module, its model is CC2564.
4. the autoalarm based on brain wave identification new vehicle accident emergency rescuing according to claim 1, it is characterized in that: what described signal transmitting apparatus (5) adopted is RS232 serial ports, what this RS232 serial ports adopted is model is MAX3232ESE low-power transmission device and receiver.
5. the autoalarm based on brain wave identification new vehicle accident emergency rescuing according to claim 1, is characterized in that: being electrically connected with model in described power module (7) circuit is AMS1117-3.3 voltage stabilizer.
6. the autoalarm based on brain wave identification new vehicle accident emergency rescuing according to claim 1, is characterized in that: described indicating lamp module (8) is provided with four pilot lamp, and each pilot lamp is electrically connected with the resistance of a 1K respectively.
7. the autoalarm based on brain wave identification new vehicle accident emergency rescuing according to claim 3, is characterized in that: be electrically connected with wave filter in described bluetooth module circuit, the model of this wave filter is LFB212G45SG8A127.
8. the autoalarm based on brain wave identification new vehicle accident emergency rescuing according to claim 3, is characterized in that: described bluetooth module SLOW_CLK end is electrically connected with resistance R9, and the other end electrical connection model of resistance R9 is 32768HZ crystal oscillator.
CN201520370269.9U 2015-06-02 2015-06-02 Based on the autoalarm of brain wave identification new vehicle accident emergency rescuing Active CN204680152U (en)

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CN201520370269.9U CN204680152U (en) 2015-06-02 2015-06-02 Based on the autoalarm of brain wave identification new vehicle accident emergency rescuing

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201520370269.9U CN204680152U (en) 2015-06-02 2015-06-02 Based on the autoalarm of brain wave identification new vehicle accident emergency rescuing

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105323555A (en) * 2015-11-03 2016-02-10 广州市建设工程质量安全检测中心 Wearable recorder for recording construction site conditions
CN106205048A (en) * 2016-07-21 2016-12-07 山东大学 Stupor automatic alarm system based on brain-computer interface and alarm method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105323555A (en) * 2015-11-03 2016-02-10 广州市建设工程质量安全检测中心 Wearable recorder for recording construction site conditions
CN106205048A (en) * 2016-07-21 2016-12-07 山东大学 Stupor automatic alarm system based on brain-computer interface and alarm method

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