CN111105596A - Locomotive crew member working state early warning reminding method - Google Patents
Locomotive crew member working state early warning reminding method Download PDFInfo
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- CN111105596A CN111105596A CN201811470349.6A CN201811470349A CN111105596A CN 111105596 A CN111105596 A CN 111105596A CN 201811470349 A CN201811470349 A CN 201811470349A CN 111105596 A CN111105596 A CN 111105596A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
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Abstract
The invention discloses a locomotive crew member working state early warning reminding method which is characterized by comprising the following steps: 1) the image collector collects work images of the crew members; 2) transmitting the image acquired in the step 1) to a processor; 3) the processor transmits early warning information to an alarm device according to the processing result of the step 2); 4) the alarm device implements a graded voice alarm. The invention is based on a high-speed DSP (digital signal processing) embedded processing system with mature technology, adopts advanced video image processing technology, monitors the working state of a locomotive crew member in real time in the whole course of train operation, provides a new technical means for supervision of the working process of the crew member and prevention of fatigue state, can store video data in a certain time period, and has the accident recollection function of driver fatigue state images.
Description
Technical Field
The invention belongs to the technical field of railway train operation safety, and particularly relates to a locomotive crew member working state early warning reminding method.
Background
With the rapid development of railways in China, the problem of railway transportation safety is the subject of constant and unchangeable modern traffic, and more attention is paid to the problem. The locomotive crew member plays a central role in the operation of the locomotive, and directly determines whether the train can normally operate, avoids accidents and the like, so that the safety management of the locomotive crew member is important. In the aspect of safety management of locomotive crew members, a standardized requirement is made aiming at an operation standard of a safety key item in the process of taking a crew member by value, a safety node is listed by analyzing a one-time taking standard operation program of the crew member according to a method of system science, for example, serious potential safety hazard problems such as the locomotive crew member driving spirit is not vibration, the visual field is deviated, the crew member sleeps, and the intermittent observation possibly occur in the running of a train, and an alarm prompt is given while the problems occur through technical means, so that the driving state of the crew member is corrected in time, the prevention and control risk is in the early stage, and the driving safety is ensured.
At present, each locomotive crew recording pen and locomotive video monitoring are equipped in each locomotive crew department, a management method is formulated, an analysis team is established, and LKJ (train operation monitoring device) special analysis is combined to monitor the crew to implement daily operation standards. However, the video monitoring and recording pen device records continuously, namely how long and how long the car is driven by the crew, so that the workload of ground audio and video analysis personnel after dumping is huge, each crew section has few crew sections and hundreds of crew sections every day, and more crew members are multiplied on line to generate massive audio and video data, and the number capable of being analyzed by the analysts is simply nine cattle one hair compared with the data amount generated every day, so that full coverage analysis cannot be realized, and the problem is managed afterwards, and the problem is found to constitute a fact, even cause an accident, and cannot be recovered.
The technical problem restricting the popularization and the application of the real-time monitoring technology of the fatigue state of the personnel at present is mainly represented as follows:
1. the change of the ambient illumination in the vehicle is large, the light directly illuminates the face and other interference light sources when meeting in daytime, at night, in backlight, at night, and the change of the posture of the driver and the like when the driver wears sunglasses. It is a technical difficulty in these cases to obtain accurate and clear images of faces, particularly eyes, in real time.
2. Although image recognition techniques have been used in many fields, they basically store images for comparison in advance. When a driver gets on the bus, the driver needs to register in advance, and the system can work normally. This method has a great limitation in application since the drivers may not be the same person. It is a technical difficulty how to accurately locate the face and eyes without image registration in advance, and extract various dynamic parameters of the face in real time and correctly identify the parameters.
3. The real-time requirement of the crew mental state early warning reminding device makes some relatively stable image processing and identification algorithms unavailable, and the algorithm with higher running speed does not reach enough identification rate. How to realize stable and accurate identification under the algorithm with higher running speed is a technical difficulty.
Therefore, a method and a device capable of intelligently identifying and further standardizing the driving standardized operation of the crew in real time on line are very necessary, and especially, the method and the device capable of intelligently identifying and further standardizing the driving standardized operation of the crew in real time on line have the effect of preventing the crew from getting ill in advance.
Disclosure of Invention
The invention aims to overcome the defects in the prior art and provides a crew state early warning reminding method. The specific technical scheme of the invention is as follows.
A locomotive crew member working state early warning reminding method is characterized by comprising the following steps:
1) the image collector collects work images of the crew members;
2) transmitting the image acquired in the step 1) to a processor;
3) the processor transmits early warning information to an alarm device according to the processing result of the step 2);
4) the alarm device implements a graded voice alarm.
Further, the image collector in the step 1) adopts a full shielding structure; the device comprises a CMOS camera, a rotary adjusting shaft, a lens protective cover, a nylon cushion block and a collector shell; the rotary adjusting shaft adopts a tooth meshing structure; the lens protective cover is made of conductive glass; the collector shell is connected with the cable shielding layer by adopting a double-layer compression joint structure.
Further, the processor in the step 2) is compatible with electricity and magnetism prevention; the connection part of the case is embedded by adopting copper foil, so that the electromagnetic shielding problem at the joint of the case is solved; all signal outgoing lines are provided with magnetic core inductors, the power supply is provided with double filtering, the anti-jamming capability of the whole machine is improved, the processor adopts an all-metal shell, the heat dissipation adopts the close fit of a machine shell and a heating element, and the whole machine box has the heat dissipation effect.
Further, the alarm device in the step 3) comprises a software system, a DSP circuit and an FPGA identification hardware system which are used for comprehensively judging the geometric characteristics of the iris and the eye by adopting circular frequency filtering, interframe correlation, self-adaptive threshold value binary difference, horizontal scanning projection and neural network algorithm.
Further, the step 4) of the graded alarm comprises a voice alarm, a crew member is reminded on line to keep the crew member in correct operation, and the voice alarm is immediately ended after the abnormal operation phenomenon is eliminated; and meanwhile, the alarm information is stored and transmitted to a management department.
Further, the classified alarm comprises a first-level alarm, a second-level alarm, a third-level alarm, a driving posture alarm and a shielding alarm; the primary alarm means that the visual field of a crew does not continuously focus on the operation front for more than 10s, the secondary alarm means that the visual field of the crew does not continuously focus on the operation front for more than 15s, the tertiary alarm means that the visual field of the crew does not continuously focus on the operation front for more than 20s, the driving posture alarm means that the face of the crew exceeds the range of the image collector for more than 60s, and the blocking alarm means that the image collector is blocked for more than 600 s.
Further, when the crew working image is collected in the step 1), the infrared narrow-band invisible active lighting source is used for lighting, and a video image with stable brightness is obtained all the day. The light source comprises a laser and a face auxiliary light source provided with a face PWM driving circuit; the laser is an infrared laser which generates laser beams with the wavelength of 940nm in a stimulated emission manner under the drive of a power supply and is used as an active illumination light source; the facial auxiliary light source comprises an infrared LED array with the wavelength of 850nm, the infrared LED array is composed of at least 1 infrared LED with the wavelength of 850nm, the infrared LED array is uniformly distributed around the CMOS camera lens according to the light supplement requirement, and the vertical distance between the brightness position of the infrared LED and the axis of the facial shooting optical lens is 4-6 cm.
Furthermore, the CMOS camera comprises two camera optical lenses, wherein one camera optical lens is used for comparison under the condition of strong light irradiation, the front side of the camera optical lens is provided with a light filter for inhibiting visible light, and the rear side of the camera optical lens is provided with a light filter for only passing infrared light with the wavelength of 850 nm; the other is a camera optical lens for comparison under the condition of weak light irradiation, and a combined low-pass narrow-band facial filter is arranged in the camera optical lens; according to the sensitivity of the CMOS camera to light of different wave bands, light waves are cut off selectively according to the proportion requirement, and only infrared light passes through, so that the CMOS camera obtains uniform and soft infrared light for comparison in the evening or at night when visible light is weak.
Further, the low-pass narrow-band facial filter is a film system structure infrared 940nm narrow-band low-pass filter with an optical film and is used for filtering all light rays except 940nm in ambient light including sunlight, fluorescent lamps and incandescent lamps; the center wave band of the low-pass narrow-band filter is 940nm, the pass-band pass rate is 70%, the bandwidth is +/-20 nm, and the pass-band positioning accuracy is +/-5 nm.
Furthermore, the locomotive can position the position of the locomotive in real time by using a GPS positioning technology.
The invention has the beneficial effects that: the invention finds a brand-new unique detection method for solving the driving spirit and lookout states of the locomotive crew, and reaches the level of practical application. The invention is based on a high-speed DSP (digital signal processing) embedded processing system with mature technology, adopts advanced video image processing technology, monitors the working state of a locomotive crew member in real time in the whole course of train operation, provides a new technical means for supervision of the working process of the crew member and prevention of fatigue state, can store video data in a certain time period, and has the accident recollection function of driver fatigue state images. The invention uses GPS (satellite positioning system) positioning technology and 4G wireless transmission technology to realize real-time positioning of the locomotive, and can transmit crew value riding state video and remote transmission alarm data in real time, so that a manager can master crew value riding dynamic in real time, and a basis is provided for effective management through accumulation and intelligent analysis of big data.
Detailed Description
The present invention is described in further detail below.
The invention discloses a warning and reminding method for the working state of a locomotive crew member, wherein when the locomotive runs and the crew member has abnormal operation phenomenon, a warning device automatically implements graded voice warning to remind the crew member on line to keep the crew member in correct operation, and after the abnormal operation phenomenon is eliminated, the voice warning is immediately finished; the abnormal operations include visual field deviation, lassitude, and intermittent lookouts.
Under the condition that the running speed of the locomotive is not 0km/h or a demonstration mode is started, the locomotive crew member working state early warning reminding method comprises the following steps:
1) the image collector collects work images of the crew members;
2) transmitting the image acquired in the step 1) to a processor;
3) the processor transmits early warning information to an alarm device according to the processing result of the step 2);
4) the alarm device implements a graded voice alarm.
The alarm device implements graded voice alarm, including primary alarm, secondary alarm, tertiary alarm, driving posture alarm and shielding alarm; the primary alarm means that the visual field of a crew does not continuously focus on the operation front for more than 10s, the secondary alarm means that the visual field of the crew does not continuously focus on the operation front for more than 15s, the tertiary alarm means that the visual field of the crew does not continuously focus on the operation front for more than 20s, the driving posture alarm means that the face of the crew exceeds the range of the image collector for more than 60s, and the blocking alarm means that the image collector is blocked for more than 600 s.
The image collector in the step 1) adopts a full-shielding structure, so that the anti-interference problem is well solved; the collector comprises a CMOS camera, and the rotary adjusting shaft adopts a tooth meshing structure; the lens protective cover adopts conductive glass, so that the difficulty of electromagnetic shielding at the lens end is solved; the junction of the cable shielding layer and the collector shell adopts double-layer crimping, so that the connection reliability is improved.
When the crew working image is collected in the step 1), the infrared narrow-band invisible active illumination light source is used for illumination, the interference of external light is weakened, a video image with stable brightness is obtained all weather, accurate and clear facial features are obtained, meanwhile, strong eye iris reflection features are obtained, the eye positioning and recognition process is greatly simplified, the recognition accuracy is improved, and the misjudgment rate is less than 1%.
Step 2), the processor is compatible with electricity and magnetism prevention; the connection part of the case is embedded by adopting copper foil, so that the electromagnetic shielding problem at the joint of the case is solved; all the signal outgoing lines are provided with magnetic core inductors, the power supply is provided with double filtering, the anti-interference capability of the whole machine is improved, the heat dissipation of the processor adopts the tight fit of a machine shell and a heating element, and the whole machine box has the heat dissipation effect; the processor adopts an all-metal shell, and has a firm and simple structure; automatic operation and basically maintenance-free; small volume, light weight and convenient installation and use.
Step 2) the processor judges the eye state of the crew member by using three parallel judging methods, which comprises the following steps: iris feature judgment, geometric feature judgment and neural network judgment; the false alarm rate is effectively reduced; firstly, the eyes are positioned by using the interframe correlation, so that the running time of the system is greatly reduced, and the speed of video processing is reached. The system judges the state of human eyes by utilizing a neural network discrimination algorithm, the geometric outline characteristics of the eyes and the iris reflection characteristics of the eyes, analyzes and judges the driving spirit and the observation state of a locomotive attendant by integrating factors such as head position change and the like, and sends out humanized prompt tones to remind the locomotive attendant to keep being concentrated on and observe.
The alarm device implements graded voice alarm, including primary alarm, secondary alarm, tertiary alarm, driving posture alarm and shielding alarm; the primary alarm means that the visual field of a crew does not continuously focus on the operation front for more than 10s, the secondary alarm means that the visual field of the crew does not continuously focus on the operation front for more than 15s, the tertiary alarm means that the visual field of the crew does not continuously focus on the operation front for more than 20s, the driving posture alarm means that the face of the crew exceeds the range of the image collector for more than 60s, and the blocking alarm means that the image collector is blocked for more than 600 s.
When the crew working images are collected in the step 1), the infrared narrow-band invisible active lighting source is used for lighting, and the video images with stable brightness are obtained all the day. The light source comprises a laser and a face auxiliary light source provided with a face PWM driving circuit; the laser is an infrared laser which generates laser beams with the wavelength of 940nm in a stimulated emission manner under the drive of a power supply and is used as an active illumination light source; the facial auxiliary light source comprises an infrared LED array with the wavelength of 850nm and 20 infrared LEDs with the wavelength of 850nm, the infrared LEDs are enclosed into two circles according to the requirement of supplementary lighting and are uniformly distributed around the CMOS camera lens, and the vertical distance between the brightness position of each infrared LED and the axis of the facial camera optical lens is 5 cm.
The image collector in the step 1) comprises a CMOS camera, the CMOS camera comprises two image pickup optical lenses, one image pickup optical lens is used for comparison under the condition of strong light irradiation, an optical filter for inhibiting visible light is arranged in front of the image pickup optical lens, a narrow-band optical filter for only infrared light with the wavelength of 850nm passes is arranged on the back of the image pickup optical lens, the narrow-band optical filter adopts a doped one-dimensional heterojunction structure, a wide cut-off band is obtained by utilizing the band gap characteristic of the heterojunction structure, then the hetero-junction structure energy band is modulated by utilizing impurities, and a narrow pass band with the central wavelength of 850nm is obtained by doping in the wide cut-off band, so that the image pickup optical lens is suitable for comparison under the condition. The other one for comparison under the condition of weak light irradiation is a photographic optical lens which is internally provided with a combined type low-pass narrow-band facial filter and only passes infrared light generally; the CMOS camera selectively cuts off light waves according to the sensitivity of the CMOS camera to light rays with different wave bands according to the proportion requirement, and is suitable for comparison in the evening or at night with weak visible light, so that the CMOS camera can obtain uniform and soft infrared light for comparison in the evening or at night with weak visible light.
The low-pass narrow-band facial filter is an infrared 940nm narrow-band low-pass filter with an optical film system structure and is used for filtering all light rays except 940nm in ambient light comprising sunlight, fluorescent lamps and incandescent lamps; the center wave band of the low-pass narrow-band filter is 940nm, the pass-band pass rate is 70%, the bandwidth is +/-20 nm, and the pass-band positioning accuracy is +/-5 nm.
The film system of the optical film of the narrow-band low-pass filter is formed by combining a long-wave-pass filter film and a short-wave-pass filter film, and the film material comprises SiO which can obtain a low-refractive-index film layer2Film material and TiO capable of obtaining high-refractive-index film layer2Film material and Si film material. The narrow-band low-pass filter is used for filtering all light rays except 940nm in ambient light including sunlight, fluorescent lamps and incandescent lamps, effectively stopping the light rays from entering the image sensor, so that the performance of resisting ambient light interference is obviously enhanced, the adverse effect of the ambient light, particularly the ambient light in different periods, on the image is weakened, a high-brightness uniform surface light source emitted by laser is reflected by a face, the light rays are filtered by the narrow-band low-pass filter to obtain a real face gray-scale image, and the image is a basically consistent perfect image in any period and under the ambient light conditions with different illumination intensities.
Claims (10)
1. A locomotive crew member working state early warning reminding method is characterized by comprising the following steps:
1) the image collector collects work images of the crew members;
2) transmitting the image acquired in the step 1) to a processor;
3) the processor transmits early warning information to an alarm device according to the processing result of the step 2);
4) the alarm device implements a graded voice alarm.
2. The method according to claim 1, wherein the image collector of step 1) adopts a full-shielding structure; the device comprises a CMOS camera, a rotary adjusting shaft, a lens protective cover, a nylon cushion block and a collector shell; the rotary adjusting shaft adopts a tooth meshing structure; the lens protective cover is made of conductive glass; the collector shell is connected with the cable shielding layer by adopting a double-layer compression joint structure.
3. The method of claim 1, wherein step 2) the processor is electrically and magnetically resistant compatible; the connection part of the case is embedded by adopting copper foil, so that the electromagnetic shielding problem at the joint of the case is solved; all signal outgoing lines are provided with magnetic core inductors, the power supply is provided with double filtering, the anti-jamming capability of the whole machine is improved, the processor adopts an all-metal shell, the heat dissipation adopts the close fit of a machine shell and a heating element, and the whole machine box has the heat dissipation effect.
4. The method according to claim 1, wherein the step 3) of the alarm device comprises the steps of adopting circular frequency filtering, frame-to-frame correlation, adaptive threshold value binary difference, horizontal scanning projection, neural network algorithm, comprehensive judgment of iris and eye geometric feature software system, DSP circuit and FPGA identification hardware system.
5. The method according to claim 1, wherein the step 4) of said classification alarm comprises a voice alarm, wherein the crew member is alerted online to maintain proper operation, and wherein the voice alarm is terminated immediately after the abnormal operation phenomenon is eliminated; and meanwhile, the alarm information is stored and transmitted to a management department.
6. The method of claim 5, wherein the hierarchical alarms include a primary alarm, a secondary alarm, a tertiary alarm, a driving posture alarm, and a blocking alarm; the primary alarm means that the visual field of a crew does not continuously focus on the operation front for more than 10s, the secondary alarm means that the visual field of the crew does not continuously focus on the operation front for more than 15s, the tertiary alarm means that the visual field of the crew does not continuously focus on the operation front for more than 20s, the driving posture alarm means that the face of the crew exceeds the range of the image collector for more than 60s, and the blocking alarm means that the image collector is blocked for more than 600 s.
7. The method according to claim 1, wherein step 1) is performed by using infrared narrow-band invisible active illumination light source for illumination during the acquisition of crew work images, so as to obtain video images with stable brightness all the day. The light source comprises a laser and a face auxiliary light source provided with a face PWM driving circuit; the laser is an infrared laser which generates laser beams with the wavelength of 940nm in a stimulated emission manner under the drive of a power supply and is used as an active illumination light source; the facial auxiliary light source comprises an infrared LED array with the wavelength of 850nm, the infrared LED array is composed of at least 1 infrared LED with the wavelength of 850nm, the infrared LED array is uniformly distributed around the CMOS camera lens according to the light supplement requirement, and the vertical distance between the brightness position of the infrared LED and the axis of the facial shooting optical lens is 4-6 cm.
8. The method according to claim 2, wherein the CMOS camera comprises two imaging optical lenses, one is an imaging optical lens for comparison under the condition of strong light irradiation, and is provided with a filter for suppressing visible light in front and a filter for passing only infrared light with a wavelength of 850nm in back; the other is a camera optical lens for comparison under the condition of weak light irradiation, and a combined low-pass narrow-band facial filter is arranged in the camera optical lens; according to the sensitivity of the CMOS camera to light of different wave bands, light waves are cut off selectively according to the proportion requirement, and only infrared light passes through, so that the CMOS camera obtains uniform and soft infrared light for comparison in the evening or at night when visible light is weak.
9. The method of claim 8, wherein the low-pass narrow-band facial filter is a film-system structured infrared 940nm narrow-band low-pass filter with optical thin films for filtering all light rays except 940nm in ambient light including sunlight, fluorescent lamps and incandescent lamps; the center wave band of the low-pass narrow-band filter is 940nm, the pass-band pass rate is 70%, the bandwidth is +/-20 nm, and the pass-band positioning accuracy is +/-5 nm.
10. The method of claim 1 wherein the locomotive is capable of locating locomotive location in real time using GPS location technology.
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Application publication date: 20200505 |