CN115593473B - Automatic far-near end identification method and system for wheel simulator - Google Patents
Automatic far-near end identification method and system for wheel simulator Download PDFInfo
- Publication number
- CN115593473B CN115593473B CN202211313607.6A CN202211313607A CN115593473B CN 115593473 B CN115593473 B CN 115593473B CN 202211313607 A CN202211313607 A CN 202211313607A CN 115593473 B CN115593473 B CN 115593473B
- Authority
- CN
- China
- Prior art keywords
- far
- wheel
- simulator
- remote controller
- distance
- 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.)
- Active
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/60—Testing or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/147—Details of sensors, e.g. sensor lenses
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
A method and a system for automatically identifying the far and near ends of a wheel simulator belong to the technical field of debugging and overhauling of train security inspection equipment. The application aims to solve the problems of large workload and high cost of distinguishing the wheel simulators when the wheel simulators are distinguished manually at present. According to the identification method, when the remote controller works in a non-roller mode, the distance from the near-end wheel simulator to the remote controller and the distance from the far-end wheel simulator to the remote controller are calculated, and the far end and the near end are judged according to the fact that the distance from the near-end wheel simulator to the remote controller is smaller than the distance from the far-end wheel simulator to the remote controller; when the remote controller works in the roller mode, the distance from the near-end wheel simulator to the roller and the distance from the far-end wheel simulator to the roller are calculated, and the near end and the far end are automatically judged according to the fact that the distance from the near-end wheel simulator to the roller is smaller than the distance from the far-end wheel simulator to the roller. The application is used for automatically identifying the far and near ends of the wheel simulator.
Description
Technical Field
The application belongs to the technical field of debugging and overhauling of train security inspection equipment, and particularly relates to a method and a system for automatically identifying the far end and the near end of a wheel simulator.
Background
At present, rail side fault image detection equipment (TFDS, TVDS, TEDS) mainly comprises rail side equipment and detection station equipment, wherein the rail side equipment comprises: two distal wheel sensors, two proximal wheel sensors, an image acquisition device, etc. The rail edge equipment is provided with a far-end wheel sensor, a near-end wheel sensor and an image acquisition equipment in sequence, wherein the distance from the far end to the image acquisition equipment is about 80 meters, and the distance from the near end to the image acquisition equipment is about 5 meters.
The normal working flow of the equipment is as follows: the train wheels pass through the far-end wheel sensors No. 1 and No. 2 in sequence, the device is ready to receive a train, and image acquisition is started when the wheels pass through the near-end wheel sensors No. 3 and No. 4.
After equipment installation and debugging and on-line maintenance and obstacle removal of operators, as no train passes through the wheel sensor in the time of the on-site operation skylight, the software of the equipment can only be used for simulating the train to pass through to trigger the image acquisition equipment to acquire images. The software simulation cannot be used to detect whether the wheel sensor is working properly. Therefore, the assistance of the wheel simulator is also needed, and the wheel simulator device is arranged above the wheel sensor and is used for simulating the train wheel to pass through the wheel sensor, so that the image acquisition device is triggered to acquire images.
The wheel simulators are divided into a far-end wheel simulator and a near-end wheel simulator, wherein the far-end wheel simulator is placed on the far-end No. 1 and No. 2 wheel sensors, and the near-end wheel simulator is placed on the near-end No. 3 and No. 4 wheel sensors. And a remote controller is adopted to control the two wheel simulators to work. The image acquisition device can acquire images of the roller to check the quality of the images.
However, there is a problem in that it is necessary to determine which is the far-end wheel simulator and which is the near-end wheel simulator, and in order to distinguish which of the two wheel simulators is placed at the near-end and which is placed at the far-end, the following method may be adopted:
1) The two wheel simulators are distinguished in appearance or structure, two appearances and grinding tools are required to be designed for distinguishing the appearance or structure, the cost is too high, and the probability of incorrect placement can be generated during field use.
2) The two wheel simulators are manually arranged on site, and because the time of the working skylight on site is short and the distance between the far end and the near end is long, the manual arrangement is not humanized, so that extra workload can be increased, and the probability of wrong arrangement can be caused. Meanwhile, the phenomenon that the wheel simulator, the roller or the remote controller falls on site to influence the same train or even cause train off-line accidents is prevented.
Disclosure of Invention
The application aims to solve the problems that the work load is large and the cost for distinguishing the wheel simulators is high when the wheel simulators are distinguished manually at present because the working state of the wheel sensor cannot be detected when no train passes through the process of triggering the image acquisition equipment to acquire images by using software to simulate the train passes through.
A far-near end automatic identification method of a wheel simulator comprises the following steps:
the remote controller selects a non-roller mode when the shooting angle of the image acquisition equipment is not required to be checked on site, and selects a roller mode when the shooting angle of the image acquisition equipment is required to be checked on site;
1) When the remote controller works in a non-roller mode, keeping the remote controller in an area range taking the image acquisition equipment as a center, wherein the radius of the area range is smaller than or equal to an area radius threshold R; firstly, position information of a remote controller, a near-end wheel simulator and a positioning device of a far-end wheel simulator is acquired, then the distance from the near-end wheel simulator to the remote controller and the distance from the far-end wheel simulator to the remote controller are calculated, and the far end and the near end are judged according to the fact that the distance from the near-end wheel simulator to the remote controller is smaller than the distance from the far-end wheel simulator to the remote controller;
the near-end wheel simulator and the far-end wheel simulator are respectively wheel simulators arranged on a far-end wheel sensor of the near-end wheel sensor;
2) When the remote controller works in the roller mode, the position information of the roller, the near-end wheel simulator and the positioning device of the far-end wheel simulator is firstly obtained, then the distance from the near-end wheel simulator to the roller and the distance from the far-end wheel simulator to the roller are calculated, and the near end and the far end are automatically judged according to the fact that the distance from the near-end wheel simulator to the roller is smaller than the distance from the far-end wheel simulator to the roller.
Further, when the remote controller works in the non-roller mode, under the condition that the wheel simulators are not operated to work, when the distance between the near-end wheel simulators or the far-end wheel simulators and the remote controller is detected to be larger than (R+L+D), L is the distance between the far-end wheel simulators and the image acquisition equipment, D is the set separation distance, and both the remote controller and the two wheel simulators can prompt the drop.
Further, when the remote controller is operated in the wheel mode, under the condition that the wheel simulators are not operated, when the distance from the near-end wheel simulators or the far-end wheel simulators to the wheels is detected to be larger than (R+L+D), or the distance from the wheels to the remote controller is detected to be larger than (R+L+D), the remote controller, the wheels and the two wheel simulators can prompt to fall.
Preferably, the region radius threshold R is 30 meters. The distance L from the far-end wheel simulator to the image acquisition device is 80 meters. The separation distance D was 10 meters.
A far-near end automatic identification system of a wheel simulator comprises a hardware subsystem and a software subsystem;
the hardware subsystem comprises: a remote controller, a near-end wheel simulator and a far-end wheel simulator; the near-end wheel simulator and the far-end wheel simulator are respectively wheel simulators arranged on a far-end wheel sensor of the near-end wheel sensor; the remote controller is used for selecting a roller mode and a roller mode;
the software subsystem comprises a far-near end identification unit, the far-near end identification unit carries out far-near end identification of the wheel simulator according to the position information of the roller, the remote controller, the near-end wheel simulator and the far-end wheel simulator, and the specific identification process comprises the following steps:
1) When the remote controller works in a non-roller mode, keeping the remote controller in an area range taking the image acquisition equipment as a center, wherein the radius of the area range is smaller than or equal to an area radius threshold R; firstly, position information of a remote controller, a near-end wheel simulator and a positioning device of a far-end wheel simulator is acquired, then the distance from the near-end wheel simulator to the remote controller and the distance from the far-end wheel simulator to the remote controller are calculated, and the far end and the near end are judged according to the fact that the distance from the near-end wheel simulator to the remote controller is smaller than the distance from the far-end wheel simulator to the remote controller;
the near-end wheel simulator and the far-end wheel simulator are respectively wheel simulators arranged on a far-end wheel sensor of the near-end wheel sensor;
2) When the remote controller works in the roller mode, the position information of the roller, the near-end wheel simulator and the positioning device of the far-end wheel simulator is firstly obtained, then the distance from the near-end wheel simulator to the roller and the distance from the far-end wheel simulator to the roller are calculated, and the near end and the far end are automatically judged according to the fact that the distance from the near-end wheel simulator to the roller is smaller than the distance from the far-end wheel simulator to the roller.
Further, the software subsystem further comprises an anti-missing alarm unit, the anti-missing alarm unit performs anti-missing detection according to position information of the idler wheel, the remote controller, the near-end wheel simulator and the far-end wheel simulator, and the specific process comprises the following steps:
when the remote controller works in a non-roller mode and the wheel simulators are not operated, when the distance between the near-end wheel simulators or the far-end wheel simulators and the remote controller is detected to be larger than (R+L+D), L is the distance between the far-end wheel simulators and the image acquisition equipment, D is the set separation distance, and both the remote controller and the two wheel simulators can prompt the missing;
when the remote controller works in the roller mode, under the condition that the wheel simulators are not operated, when the distance from the near-end wheel simulators or the far-end wheel simulators to the rollers is detected to be larger than (R+L+D), or the distance from the rollers to the remote controller is detected to be larger than (R+L+D), the remote controller, the rollers and the two wheel simulators can prompt the user to fall.
The beneficial effects are that:
1. the application can automatically match the far end and the near end of the wheel simulator, realize automatic detection, realize high automatic identification speed and save the time of a working skylight on site. Therefore, the application can greatly reduce the operation complexity of personnel and reduce the probability of placement errors, and the wheel simulator does not need to be distinguished in appearance or structure, thereby solving the problem that the two appearances and the grinding tool are required to be designed for distinguishing in appearance or structure and the cost is too high.
2. The application can greatly simplify the judgment complexity and greatly save the test time.
3. The application can prevent hidden trouble caused by the falling of equipment to train driving safety, and is convenient for equipment management.
Drawings
Fig. 1 is an image pickup apparatus mounting schematic diagram.
FIG. 2 is a schematic diagram of the non-roller mode of operation.
Fig. 3 is a schematic diagram of the roller mode operation.
Detailed Description
It should be noted that, in particular, the various embodiments of the present disclosure may be combined with each other without conflict.
The first embodiment is as follows:
the embodiment is a far-near end automatic identification method of a wheel simulator, comprising the following steps:
the remote controller selects a non-roller mode when the shooting angle of the image acquisition equipment is not required to be checked on site, and selects a roller mode when the shooting angle of the image acquisition equipment is required to be checked on site;
1) When the remote controller works in a non-roller mode, keeping the remote controller in an area range taking the image acquisition equipment as a center, wherein the radius of the area range is smaller than or equal to an area radius threshold R; firstly, position information of a remote controller, a near-end wheel simulator and a positioning device of a far-end wheel simulator is acquired, then the distance from the near-end wheel simulator to the remote controller and the distance from the far-end wheel simulator to the remote controller are calculated, and the far end and the near end are judged according to the fact that the distance from the near-end wheel simulator to the remote controller is smaller than the distance from the far-end wheel simulator to the remote controller;
the near-end wheel simulator and the far-end wheel simulator are respectively wheel simulators arranged on a far-end wheel sensor of the near-end wheel sensor;
2) When the remote controller works in the roller mode, the position information of the roller, the near-end wheel simulator and the positioning device of the far-end wheel simulator is firstly obtained, then the distance from the near-end wheel simulator to the roller and the distance from the far-end wheel simulator to the roller are calculated, and the near end and the far end are automatically judged according to the fact that the distance from the near-end wheel simulator to the roller is smaller than the distance from the far-end wheel simulator to the roller.
The second embodiment is as follows:
the embodiment is a far-near end automatic identification method of a wheel simulator, which further comprises the following steps:
when the remote controller works in a non-roller mode and the wheel simulators are not operated, when the distance between the near-end wheel simulators or the far-end wheel simulators and the remote controller is detected to be larger than (R+L+D), L is the distance between the far-end wheel simulators and the image acquisition equipment, D is the set separation distance, and both the remote controller and the two wheel simulators can give out a drop-out alarm.
Other steps and parameters are the same as in the first embodiment.
And a third specific embodiment:
the embodiment is a far-near end automatic identification method of a wheel simulator, which further comprises the following steps:
when the remote controller works in the roller mode, under the condition that the wheel simulators are not operated, when the distance from the near-end wheel simulators or the far-end wheel simulators to the rollers is detected to be larger than (R+L+D), or the distance from the rollers to the remote controller is detected to be larger than (R+L+D), the remote controller, the rollers and the two wheel simulators can send out a drop-out alarm.
Other steps and parameters are the same as in the second embodiment.
The specific embodiment IV is as follows:
the present embodiment is a method for automatically identifying the far and near ends of a wheel simulator, and in the present embodiment, the region radius threshold R is 30 meters.
Other steps and parameters are the same as in one to three embodiments.
Fifth embodiment:
the embodiment is a far-near end automatic identification method of a wheel simulator, and in the embodiment, the distance L between the far-end wheel simulator and an image acquisition device is 80 meters.
Other steps and parameters are the same as in one to one fourth of the embodiments.
Specific embodiment six:
the present embodiment is a method for automatically identifying the far and near ends of a wheel simulator, and in the present embodiment, the separation distance D is 10 meters.
Other steps and parameters are the same as in one to five of the embodiments.
Seventh embodiment:
the embodiment is a far-near end automatic identification system of a wheel simulator, which comprises a hardware subsystem and a software subsystem;
the hardware subsystem comprises: a remote controller, a near-end wheel simulator and a far-end wheel simulator; the near-end wheel simulator and the far-end wheel simulator are respectively wheel simulators arranged on a far-end wheel sensor of the near-end wheel sensor; the remote controller is used for selecting a roller mode and a roller mode;
the software subsystem comprises a far-near end identification unit, the far-near end identification unit carries out far-near end identification of the wheel simulator according to the position information of the roller, the remote controller, the near-end wheel simulator and the far-end wheel simulator, and the specific identification process comprises the following steps:
1) When the remote controller works in a non-roller mode, keeping the remote controller in an area range taking the image acquisition equipment as a center, wherein the radius of the area range is smaller than or equal to an area radius threshold R; firstly, position information of a remote controller, a near-end wheel simulator and a positioning device of a far-end wheel simulator is acquired, then the distance from the near-end wheel simulator to the remote controller and the distance from the far-end wheel simulator to the remote controller are calculated, and the far end and the near end are judged according to the fact that the distance from the near-end wheel simulator to the remote controller is smaller than the distance from the far-end wheel simulator to the remote controller;
the near-end wheel simulator and the far-end wheel simulator are respectively wheel simulators arranged on a far-end wheel sensor of the near-end wheel sensor;
2) When the remote controller works in the roller mode, the position information of the roller, the near-end wheel simulator and the positioning device of the far-end wheel simulator is firstly obtained, then the distance from the near-end wheel simulator to the roller and the distance from the far-end wheel simulator to the roller are calculated, and the near end and the far end are automatically judged according to the fact that the distance from the near-end wheel simulator to the roller is smaller than the distance from the far-end wheel simulator to the roller.
Eighth embodiment:
the embodiment is a far-near end automatic identification system of a wheel simulator, the software subsystem further comprises an anti-missing alarm unit, the anti-missing alarm unit carries out anti-missing detection according to position information of a roller, a remote controller, a near-end wheel simulator and a far-end wheel simulator, and the specific process comprises the following steps:
when the remote controller works in a non-roller mode and the wheel simulators are not operated, when the distance between the near-end wheel simulators or the far-end wheel simulators and the remote controller is detected to be larger than (R+L+D), L is the distance between the far-end wheel simulators and the image acquisition equipment, D is the set separation distance, and both the remote controller and the two wheel simulators can give out a drop-out alarm;
when the remote controller works in the roller mode, under the condition that the wheel simulators are not operated, when the distance from the near-end wheel simulators or the far-end wheel simulators to the rollers is detected to be larger than (R+L+D), or the distance from the rollers to the remote controller is detected to be larger than (R+L+D), the remote controller, the rollers and the two wheel simulators can send out a drop-out alarm.
Other system composition and processing manner are the same as in the seventh embodiment.
Detailed description nine:
the embodiment is a far-near end automatic identification system of a wheel simulator, and in the embodiment, the regional radius threshold value R is 30 meters; the distance L from the far-end wheel simulator to the image acquisition device is 80 meters.
Other system components and processing modes are the same as those of the eighth embodiment.
Detailed description ten:
the present embodiment is a far-near-end automatic identification system for a wheel simulator, and in the present embodiment, the separation distance D is 10 meters.
Other system components and processing modes are the same as those of the eighth or ninth embodiment.
Example 1:
in this embodiment, an installation schematic diagram of the image acquisition device is shown in fig. 1, the number 1 wheel sensor and the number 2 wheel sensor are installed at the far end, the number 3 wheel sensor and the number 4 wheel sensor are installed at the near end, and the wheel simulator is respectively placed on the number 1 wheel sensor, the number 2 wheel sensor, the number 3 wheel sensor and the number 4 wheel sensor to excite the sensors to work.
The roller does not work when the shooting angle of the image acquisition equipment is not required to be checked on site, the remote controller selects a non-roller mode, and the roller does work when the shooting angle of the image acquisition equipment is required to be checked on site, and the remote controller selects a roller mode.
1) When the remote controller works in the non-roller mode, a schematic diagram of the remote controller in the non-roller mode is shown in fig. 2, an operator needs to keep the remote controller within a radius of 30 meters by taking the image acquisition equipment as a center, firstly obtains information such as longitude and latitude of positioning devices of the remote controller, the near-end wheel simulator and the far-end wheel simulator, then calculates the distance from the near-end wheel simulator to the remote controller and the distance from the far-end wheel simulator to the remote controller, and judges the far end and the near end according to the fact that the distance from the near-end wheel simulator to the remote controller is smaller than the distance from the far-end wheel simulator to the remote controller. The wheel simulator can be controlled to work only after the far end and the near end are identified.
The remote controller cannot distinguish the far end from the near end if the remote controller is located at the middle position of the near end wheel sensor and the far end wheel sensor (namely, the middle position of the near end wheel simulator and the far end wheel simulator), and the far end is recognized as the near end if the remote controller is close to the far end, so that an operator is kept within the range of 30 meters of the radius taking the image acquisition equipment as the center, and the distance from the near end wheel simulator to the remote controller is definitely smaller than the distance from the far end wheel simulator to the remote controller.
When the wheel simulator is not operated to work, when the distance from the near-end wheel simulator or the far-end wheel simulator to the remote controller is detected to be more than 120 meters, the remote controller and the two wheel simulators can send out anti-drop alarms, and the three devices send out drop alarms so that no matter which device is dropped, people near the three devices can know that the devices are dropped.
The distance from the far-end wheel simulator to the image acquisition device is 80 meters, the total radius from the image acquisition device to the remote controller is 110 meters, which is the working range of the device, and 120 meters is 10 meters beyond the working range, and people are considered to have walked but the wheel simulator is left on site.
2) When the remote controller works in the roller mode, a schematic diagram of the roller mode is shown in fig. 3, firstly, information such as longitude and latitude of positioning devices of the roller, the near-end wheel simulator and the far-end wheel simulator is obtained, then, the distance from the near-end wheel simulator to the roller and the distance from the far-end wheel simulator to the roller are calculated, and at the moment, the near end and the far end can be automatically judged according to the fact that the distance from the near-end wheel simulator to the roller is smaller than the distance from the far-end wheel simulator to the roller. The wheel simulator can be controlled to work only after the far end and the near end are identified.
The positions of the roller, the near-end wheel simulator and the far-end wheel simulator are fixed, so that after the positioning device is arranged on the roller, the user can judge whether the user is near-end or far-end through three fixed positions, the position of the remote controller can be flexible, and the remote controller can move at the position close to the far end between the near end and the far end.
When the wheel simulators are not operated to work, when the distance from the near-end wheel simulators or the far-end wheel simulators to the rollers is detected to be more than 120 meters or the distance from the rollers to the remote controller is detected to be more than 120 meters, the remote controller, the rollers and the two wheel simulators can send out anti-drop alarms.
The above examples of the present application are only for describing the calculation model and calculation flow of the present application in detail, and are not limiting of the embodiments of the present application. Other variations and modifications of the above description will be apparent to those of ordinary skill in the art, and it is not intended to be exhaustive of all embodiments, all of which are within the scope of the application.
Claims (10)
1. The automatic far and near end identification method of the wheel simulator is characterized by comprising the following steps of:
the remote controller selects a non-roller mode when the shooting angle of the image acquisition equipment is not required to be checked on site, and selects a roller mode when the shooting angle of the image acquisition equipment is required to be checked on site;
1) When the remote controller works in a non-roller mode, keeping the remote controller in an area range taking the image acquisition equipment as a center, wherein the radius of the area range is smaller than or equal to an area radius threshold R; firstly, position information of a remote controller, a near-end wheel simulator and a positioning device of a far-end wheel simulator is acquired, then the distance from the near-end wheel simulator to the remote controller and the distance from the far-end wheel simulator to the remote controller are calculated, and the far end and the near end are judged according to the fact that the distance from the near-end wheel simulator to the remote controller is smaller than the distance from the far-end wheel simulator to the remote controller;
the near-end wheel simulator and the far-end wheel simulator are respectively wheel simulators arranged on a far-end wheel sensor of the near-end wheel sensor;
2) When the remote controller works in the roller mode, the position information of the roller, the near-end wheel simulator and the positioning device of the far-end wheel simulator is firstly obtained, then the distance from the near-end wheel simulator to the roller and the distance from the far-end wheel simulator to the roller are calculated, and the near end and the far end are automatically judged according to the fact that the distance from the near-end wheel simulator to the roller is smaller than the distance from the far-end wheel simulator to the roller.
2. The method of claim 1, wherein when the remote controller is operated in the non-wheel mode, the remote controller and the two wheel simulators are both prompted to fall when it is detected that the distance from the near-end wheel simulator or the far-end wheel simulator to the remote controller is greater than (r+l+d), L is the distance from the far-end wheel simulator to the image capturing device, D is the set separation distance, and the remote controller and the two wheel simulators are not operated.
3. The method of claim 2, wherein when the remote controller is operated in the wheel mode, the remote controller, the wheel and both wheel simulators are prompted to be lost when it is detected that the distance from the near-end wheel simulator or the far-end wheel simulator to the wheel is greater than (r+l+d) or the distance from the wheel to the remote controller is greater than (r+l+d) without operating the wheel simulator.
4. A method for automatically identifying the far and near ends of a wheel simulator according to claim 2 or 3, wherein the region radius threshold R is 30 meters.
5. The method for automatically identifying the far and near ends of a wheel simulator according to claim 4, wherein the distance L from the far end wheel simulator to the image acquisition device is 80 meters.
6. The method for automatically identifying the far and near ends of a wheel simulator according to claim 5, wherein the separation distance D is 10 meters.
7. A remote and near-end automatic identification system of a wheel simulator, which is characterized by comprising a hardware subsystem and a software subsystem;
the hardware subsystem includes: a remote controller, a near-end wheel simulator and a far-end wheel simulator; the near-end wheel simulator and the far-end wheel simulator are respectively wheel simulators arranged on a far-end wheel sensor of the near-end wheel sensor; the remote controller is used for selecting a roller mode and a roller mode;
the software subsystem comprises a far-near end identification unit, the far-near end identification unit carries out far-near end identification of the wheel simulator according to the position information of the roller, the remote controller, the near-end wheel simulator and the far-end wheel simulator, and the specific identification process comprises the following steps:
1) When the remote controller works in a non-roller mode, keeping the remote controller in an area range taking the image acquisition equipment as a center, wherein the radius of the area range is smaller than or equal to an area radius threshold R; firstly, position information of a remote controller, a near-end wheel simulator and a positioning device of a far-end wheel simulator is acquired, then the distance from the near-end wheel simulator to the remote controller and the distance from the far-end wheel simulator to the remote controller are calculated, and the far end and the near end are judged according to the fact that the distance from the near-end wheel simulator to the remote controller is smaller than the distance from the far-end wheel simulator to the remote controller;
the near-end wheel simulator and the far-end wheel simulator are respectively wheel simulators arranged on a far-end wheel sensor of the near-end wheel sensor;
2) When the remote controller works in the roller mode, the position information of the roller, the near-end wheel simulator and the positioning device of the far-end wheel simulator is firstly obtained, then the distance from the near-end wheel simulator to the roller and the distance from the far-end wheel simulator to the roller are calculated, and the near end and the far end are automatically judged according to the fact that the distance from the near-end wheel simulator to the roller is smaller than the distance from the far-end wheel simulator to the roller.
8. The remote and near-end automatic identification system of a wheel simulator according to claim 7, wherein the software subsystem further comprises an anti-drop alarm unit, the anti-drop alarm unit performs anti-drop detection according to position information of the roller, the remote controller, the near-end wheel simulator and the far-end wheel simulator, and the specific process comprises the following steps:
when the remote controller works in a non-roller mode and the wheel simulators are not operated, when the distance between the near-end wheel simulators or the far-end wheel simulators and the remote controller is detected to be larger than (R+L+D), L is the distance between the far-end wheel simulators and the image acquisition equipment, D is the set separation distance, and both the remote controller and the two wheel simulators can prompt the missing;
when the remote controller works in the roller mode, under the condition that the wheel simulators are not operated, when the distance from the near-end wheel simulators or the far-end wheel simulators to the rollers is detected to be larger than (R+L+D), or the distance from the rollers to the remote controller is detected to be larger than (R+L+D), the remote controller, the rollers and the two wheel simulators can prompt the user to fall.
9. A far-near automatic wheel simulator identification system according to claim 8, wherein said zone radius threshold R is 30 meters; the distance L from the far-end wheel simulator to the image acquisition device is 80 meters.
10. A remote and near-end automatic identification system for a wheel simulator as claimed in claim 9, wherein said separation distance D is 10 meters.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211313607.6A CN115593473B (en) | 2022-10-25 | 2022-10-25 | Automatic far-near end identification method and system for wheel simulator |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211313607.6A CN115593473B (en) | 2022-10-25 | 2022-10-25 | Automatic far-near end identification method and system for wheel simulator |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115593473A CN115593473A (en) | 2023-01-13 |
| CN115593473B true CN115593473B (en) | 2023-09-08 |
Family
ID=84848562
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211313607.6A Active CN115593473B (en) | 2022-10-25 | 2022-10-25 | Automatic far-near end identification method and system for wheel simulator |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115593473B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0438258A (en) * | 1990-05-30 | 1992-02-07 | Fujitsu Ten Ltd | Simulator device |
| CN106803087A (en) * | 2017-01-19 | 2017-06-06 | 南京航空航天大学 | A kind of car number automatic identification method and system |
| CN107687953A (en) * | 2017-09-12 | 2018-02-13 | 哈尔滨市科佳通用机电股份有限公司 | A kind of lorry failure automatic checkout equipment |
| CN109178040A (en) * | 2018-11-01 | 2019-01-11 | 同方威视技术股份有限公司 | Train identifying system and its method, train safety check system and its method |
| CN110316221A (en) * | 2019-08-09 | 2019-10-11 | 哈尔滨市科佳通用机电股份有限公司 | The implementation method of locomotive running gear device detection system |
| CN211995620U (en) * | 2020-04-03 | 2020-11-24 | 哈尔滨市科佳通用机电股份有限公司 | Electrical vehicle-mounted equipment detection auxiliary system |
-
2022
- 2022-10-25 CN CN202211313607.6A patent/CN115593473B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0438258A (en) * | 1990-05-30 | 1992-02-07 | Fujitsu Ten Ltd | Simulator device |
| CN106803087A (en) * | 2017-01-19 | 2017-06-06 | 南京航空航天大学 | A kind of car number automatic identification method and system |
| CN107687953A (en) * | 2017-09-12 | 2018-02-13 | 哈尔滨市科佳通用机电股份有限公司 | A kind of lorry failure automatic checkout equipment |
| CN109178040A (en) * | 2018-11-01 | 2019-01-11 | 同方威视技术股份有限公司 | Train identifying system and its method, train safety check system and its method |
| CN110316221A (en) * | 2019-08-09 | 2019-10-11 | 哈尔滨市科佳通用机电股份有限公司 | The implementation method of locomotive running gear device detection system |
| CN211995620U (en) * | 2020-04-03 | 2020-11-24 | 哈尔滨市科佳通用机电股份有限公司 | Electrical vehicle-mounted equipment detection auxiliary system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115593473A (en) | 2023-01-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110085029B (en) | Highway inspection system and method based on rail type inspection robot | |
| CN106970318A (en) | Measuring instrument circuit board intelligent test system and intelligent test method | |
| CN110989594A (en) | Intelligent robot inspection system and method | |
| CN207311477U (en) | The detection system of positioning and fastener defects detection is identified for sleeper | |
| CN105574683A (en) | Omni-directional transformer station inspection system and method | |
| CN107707374A (en) | Fault diagnosis method and system, user terminal and server for fault diagnosis | |
| CN106696999B (en) | A kind of track operation security monitor and alarm system and method | |
| CN105976610A (en) | Bayonet passing vehicle detection reliability control method and system | |
| US5029477A (en) | Integrity test for acoustic bearing defect detector | |
| CN114104653A (en) | Intelligent inspection detection method for coal belt conveyor in coal conveying bin area | |
| KR102265496B1 (en) | Tongue Rail Approach Detector | |
| CN108597817A (en) | A kind of oil-immersed transformer on-line monitoring method | |
| CN111932516A (en) | Mark-free double-nut hexagon bolt looseness detection system based on image processing | |
| CN111899211A (en) | Transformer oil leakage fault detection system and method based on images and smell | |
| CN206649125U (en) | Measuring instrument circuit board intelligent test system | |
| CN115593473B (en) | Automatic far-near end identification method and system for wheel simulator | |
| CN206223678U (en) | Chromatograp automatic defect detecting device | |
| CN114550082A (en) | Easy-to-use efficient AI (Artificial Intelligence) recognition algorithm | |
| CN104219504B (en) | The fault detection method of subway video monitoring system | |
| CN114061669A (en) | Intelligent monitoring system of environmental protection equipment | |
| CN206920895U (en) | Construction site management system | |
| CN103853150A (en) | Complete machine detection method for wireless switching locomotive signal and monitoring system vehicle-mounted device | |
| CN113816096B (en) | Coal conveying belt inspection method, device, system and storage medium | |
| CN115705050A (en) | Intelligent inspection robot system | |
| CN212007343U (en) | Remote diagnosis and analysis system for stone crushing and screening equipment |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |