CN116679332A - Equipment rod detection method, device, equipment and medium based on intelligent road side equipment - Google Patents
Equipment rod detection method, device, equipment and medium based on intelligent road side equipment Download PDFInfo
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- CN116679332A CN116679332A CN202310637981.XA CN202310637981A CN116679332A CN 116679332 A CN116679332 A CN 116679332A CN 202310637981 A CN202310637981 A CN 202310637981A CN 116679332 A CN116679332 A CN 116679332A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
- G01S19/42—Determining position
- G01S19/43—Determining position using carrier phase measurements, e.g. kinematic positioning; using long or short baseline interferometry
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/10—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration
- G01C21/12—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
- G01C21/16—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
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- 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
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Abstract
The invention relates to the technical field of road side equipment, and discloses an equipment rod detection method, a device, equipment and a medium based on intelligent road side equipment, wherein the method comprises the following steps: acquiring position information and posture information of the equipment rod at different moments; determining the motion trail of the equipment rod according to the position information and the posture information of the equipment rod at different moments; judging whether the equipment rod has abnormal conditions according to the motion trail of the equipment rod, wherein the abnormal conditions comprise offset abnormal conditions and natural disaster abnormal conditions; and if the equipment rod is judged to have an abnormal condition, sending abnormal information to the target platform. The invention realizes judging whether the equipment rod has abnormal conditions and reporting the abnormal conditions to the target platform, does not need to adopt special equipment, reduces the operation cost, does not need to detect by manpower, and reduces the consumption of manpower and material resources.
Description
Technical Field
The invention relates to the technical field of road side equipment, in particular to an equipment rod detection method, device, equipment and medium based on intelligent road side equipment.
Background
At present, equipment such as cameras, flash lamps, velocimeters, traffic lights and the like are integrated on equipment bars of intelligent traffic, along with development of cellular internet of vehicles technology, equipment such as intelligent road side equipment, radars and the like are additionally arranged on the equipment bars, and the continuously increased mounting equipment possibly causes attitude deformation of the mounting equipment, also produces serious investigation on the bearing strength of the equipment bars, besides self load, the equipment bars can bear more external force influence in typhoons and areas with frequent earthquakes, the problems of equipment bar deformation, equipment reliability reduction during long-term use and the like are possibly caused, and equipment economic loss and great safety risk are caused.
At present, special gesture detection equipment is needed to be used for detecting abnormal conditions of equipment rods in the related art, manpower and material resources are mobilized to detect one by one, and the detection method of the related art is large in manpower and material resource consumption and high in operation cost. For natural disasters such as earthquakes and typhoons, the early warning station can successively receive disaster signals to trigger the natural disaster detection system for the parameters of earthquakes and typhoons to report and early warn, and the accuracy and scientificity of the natural disaster detection system are good, but the independent natural disaster detection system needs to be configured, so that the operation cost is high.
Disclosure of Invention
In view of the above, the present invention provides a device lever detection method, apparatus, device and medium based on intelligent road side device, so as to solve the above problems.
In a first aspect, the present invention provides a device lever detection method based on intelligent road side devices, including: acquiring position information and posture information of the equipment rod at different moments; determining the motion trail of the equipment rod according to the position information and the posture information of the equipment rod at different moments; judging whether the equipment rod has abnormal conditions according to the motion trail of the equipment rod, wherein the abnormal conditions comprise offset abnormal conditions and natural disaster abnormal conditions; and if the equipment rod is judged to have an abnormal condition, sending abnormal information to the target platform.
The beneficial effects are that: according to the equipment rod detection method based on the intelligent road side equipment, the position information and the posture information of the equipment rod at different moments are obtained, the motion trail of the equipment rod is determined according to the position information and the posture information of the equipment rod at different moments, whether the equipment rod has an abnormal condition or not is judged according to the motion trail of the equipment rod, the abnormal condition comprises the deviation abnormal condition of the equipment rod and the abnormality generated by encountering a natural disaster, and therefore the abnormal condition is reported to a platform. Compared with the prior art that gesture detection is required to be independently set up, the method provided by the embodiment of the invention does not need to adopt special equipment for gesture detection, reduces operation cost, does not need to detect manpower, and reduces consumption of manpower and material resources. Compared with the detection of natural disasters by a natural disaster detection system in the related art, the method and the device for detecting the natural disasters by the equipment rod motion track determine whether the natural disasters are abnormal or not, and a natural disaster detection system is not required to be configured independently, so that the operation cost is reduced.
In an alternative embodiment, determining whether an abnormal condition exists in the equipment rod according to the motion track of the equipment rod includes: determining the offset of the equipment rod according to the motion trail and the initial position of the equipment rod; if the offset is greater than the offset threshold, determining that the equipment rod has an offset abnormal condition.
The beneficial effects are that: determining the offset of the equipment rod according to the motion track and the initial position of the equipment rod, comparing the offset with a preset offset threshold, if the offset is larger than the offset threshold, judging that the equipment rod has an offset abnormal condition, wherein the offset threshold is obtained by testing the mechanical stress of the equipment rod by a manufacturer, and if the offset threshold exceeds the offset threshold, checking and maintaining the equipment rod.
In an alternative embodiment, after the step of determining that the equipment pole has an offset anomaly, the method includes: generating offset anomaly information according to the offset anomaly condition; and transmitting offset anomaly information to the target platform, wherein the offset anomaly information comprises the offset of the equipment rod.
The beneficial effects are that: after the offset abnormal condition is obtained, offset abnormal information is generated, the offset abnormal information is reported to the platform, the equipment rod is timely checked and maintained, the equipment rod is prevented from collapsing, and the personnel and vehicles below the equipment rod are injured.
In an alternative embodiment, determining whether an abnormal condition exists in the equipment rod according to the motion track of the equipment rod includes: determining the vibration swing of the equipment rod according to the motion trail; comparing the vibration swing of the equipment rod with preset standard data of natural disasters; if the vibration swing is successfully matched with the standard data of the natural disasters, judging that the natural disasters are abnormal.
The beneficial effects are that: determining vibration amplitude of the equipment rod according to the motion track, comparing the vibration amplitude of the equipment rod with preset natural disaster standard data, pre-configuring natural disaster standard data, wherein the data comprises corresponding relations between the vibration amplitude of the equipment rod and each grade of natural disasters, when the vibration amplitude of the equipment rod is detected, matching the vibration amplitude of the equipment rod with the vibration amplitude of the equipment rod in the preset natural disaster standard data, after the matching is successful, judging that natural disasters are likely to happen, judging that natural disasters are abnormal, generating natural disaster abnormal information according to the natural disaster abnormal conditions, wherein the natural disaster abnormal information comprises types and grades of natural disasters obtained by matching the vibration amplitude of the equipment rod with the vibration amplitude of the equipment rod in the preset natural disaster standard data, reporting the natural disaster abnormal information to a platform, reporting the information to a management department, and the management department pushes the information, so that the influence caused by the natural disasters is reduced, and meanwhile, the information source of the conventional earthquake prediction system can be used.
In an alternative embodiment, the preset standard data of the natural disasters includes: the corresponding relation between the vibration swing of the equipment rod and each grade of each natural disaster.
The beneficial effects are that: according to the corresponding relation between the vibration swing of the equipment rod and each grade of the natural disasters, the type and grade of the natural disasters corresponding to the vibration swing of the existing equipment rod can be matched.
In an alternative embodiment, after the step of determining that a natural disaster abnormal situation exists, the method includes: generating natural disaster abnormal information according to the natural disaster abnormal conditions; and sending the natural disaster abnormal information to a target platform, wherein the natural disaster abnormal information comprises the type and the grade of the natural disaster.
The beneficial effects are that: judging that natural disaster abnormal conditions exist, generating natural disaster abnormal information according to the natural disaster abnormal conditions, wherein the natural disaster abnormal information comprises the type and grade of the natural disaster obtained by matching the vibration swing of the equipment rod with the vibration swing of the equipment rod in preset natural disaster standard data, reporting the natural disaster abnormal information to a platform, reporting the information to a management department by the platform, pushing the information by the management department, reducing the influence caused by the natural disaster, and simultaneously, being used as an information source of the existing earthquake prediction system.
In a second aspect, the present invention provides an apparatus lever detection apparatus based on intelligent road side equipment, including: the real-time dynamic positioning module is used for acquiring the position information and the posture information of the equipment rod at different moments; the inertia measurement module is used for determining the motion trail of the equipment rod according to the position information and the posture information of the equipment rod at different moments; the force calculation module is used for determining the motion trail of the equipment rod according to the gestures of the equipment rod at different moments; judging whether an abnormal condition exists according to the motion trail of the equipment rod, wherein the abnormal condition comprises an offset abnormal condition and a natural disaster abnormal condition; and the data transmission module is used for sending the abnormal information to the target platform if the abnormal condition exists.
The beneficial effects are that: according to the equipment rod detection method based on the intelligent road side equipment, the position information and the posture information of the equipment rod at different moments are obtained, the motion trail of the equipment rod is determined according to the position information and the posture information of the equipment rod at different moments, whether the equipment rod has an abnormal condition or not is judged according to the motion trail of the equipment rod, the abnormal condition comprises deviation abnormality of the equipment rod and abnormality generated when natural disasters are encountered, and therefore the abnormal condition is reported to a platform. Compared with the prior art that gesture detection is required to be independently set up, the method provided by the embodiment of the invention does not need to adopt special equipment, reduces the operation cost, does not need to detect by manpower, and reduces the consumption of manpower and material resources. Compared with the detection of natural disasters by a natural disaster detection system in the related art, the method and the device for detecting the natural disasters by the equipment rod motion track determine whether the natural disasters are abnormal or not, and a natural disaster detection system is not required to be configured independently, so that the operation cost is reduced.
In an alternative embodiment, the intelligent road side device further includes: the receiving module is used for receiving traffic data sent by the mounting equipment on the equipment rod; and the sending module is used for sending the traffic data to the target platform.
The beneficial effects are that: the receiving module in the intelligent road side equipment receives traffic data sent by the mounting equipment on the equipment rod, the traffic data comprises track information of vehicles and people, street lamp information and the like, and the sending module sends the traffic data to the platform so that the platform can control real-time road conditions.
In a third aspect, the present invention provides a computer device comprising: the device lever detection method based on the intelligent road side device according to the first aspect or any one of the corresponding embodiments of the first aspect is implemented by the processor, and the memory and the processor are in communication connection with each other, and the memory stores computer instructions.
In a fourth aspect, the present invention provides a computer readable storage medium, on which computer instructions are stored, the computer instructions being configured to cause a computer to perform the method for detecting a device pole of the intelligent road side device according to the first aspect or any one of the embodiments corresponding thereto.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the present invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flow diagram of a device lever detection method based on intelligent roadside devices according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for device lever detection based on intelligent roadside devices according to an embodiment of the present invention;
FIG. 3 is a flow chart of yet another method for device lever detection based on intelligent roadside devices according to an embodiment of the present invention;
FIG. 4 is a block diagram of a device lever detection apparatus based on intelligent roadside devices according to an embodiment of the present invention;
FIG. 5 is a block diagram of another intelligent roadside equipment-based equipment pole detection device, according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
At present, special gesture detection equipment is needed to be used for detecting abnormal conditions of equipment rods in the related technology, manpower and material resources are mobilized for detection one by one, and the detection method of the related technology has large consumption of the manpower and the material resources and high operation cost; for natural disasters such as earthquakes and typhoons, the early warning station can successively receive disaster signals to trigger a natural disaster detection system for parameters of earthquakes and typhoons to report and early warn, and the natural disaster detection system has good accuracy and scientificity, but has the problems of high operation cost, fewer acquisition points and capacity and time delay in mass data acquisition.
The invention provides a device rod detection method, a device, equipment and a medium based on intelligent road side equipment, which achieve the effects of device rod offset detection and natural disaster detection by configuring a positioning module and algorithms in the intelligent road side equipment.
According to an embodiment of the present invention, there is provided an apparatus lever detection method embodiment based on an intelligent road side apparatus, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different from that herein.
In this embodiment, an apparatus lever detection method based on an intelligent road side apparatus is provided, which may be used for the above-mentioned intelligent road side apparatus, and fig. 1 is a flowchart of an apparatus lever detection method based on an intelligent road side apparatus according to an embodiment of the present invention, as shown in fig. 1, where the flowchart includes the following steps:
step S101, acquiring position information and posture information of the equipment lever at different moments.
In some alternative embodiments, position information of the device pole at different times is acquired by configuring a global navigation satellite system (global navigation satellite system, GNSS) in the intelligent road side device, and attitude information of the device pole at different times is acquired by configuring an inertial measurement module (Inertial measurement unit, IMU) in the intelligent road side device.
Step S102, determining the motion trail of the equipment rod according to the position information and the posture information of the equipment rod at different moments.
Step S103, judging whether the equipment rod has abnormal conditions according to the movement track of the equipment rod, wherein the abnormal conditions comprise offset abnormal conditions and natural disaster abnormal conditions.
In some alternative embodiments, if the motion track of the equipment rod is in an abnormal condition, the equipment rod is judged to have an abnormal condition, and if the motion track of the equipment rod is in a normal condition, the equipment rod is judged to not have an abnormal condition.
Step S104, if the equipment rod is judged to have abnormal conditions, abnormal information is sent to the target platform.
In some alternative embodiments, if it is determined that an abnormality exists in the equipment pole, the abnormality information is sent to the target platform, so that the platform can quickly respond based on the abnormality information.
In some alternative embodiments, the target platform is a network informative data platform for receiving information of the device stem.
According to the equipment rod detection method based on the intelligent road side equipment, the position information and the posture information of the equipment rod at different moments are obtained, the motion trail of the equipment rod is determined according to the position information and the posture information of the equipment rod at different moments, whether the equipment rod has an abnormal condition or not is judged according to the motion trail of the equipment rod, the abnormal condition comprises deviation abnormality of the equipment rod and abnormality generated when natural disasters are encountered, and therefore the abnormal condition is reported to a platform. Compared with the prior art that gesture detection is required to be independently set up, the method provided by the embodiment of the invention does not need to adopt special equipment, reduces the operation cost, does not need to detect by manpower, and reduces the consumption of manpower and material resources. Compared with the detection of natural disasters by a natural disaster detection system in the related art, the method and the device for detecting the natural disasters by the equipment rod motion track determine whether the natural disasters are abnormal or not, and a natural disaster detection system is not required to be configured independently, so that the operation cost is reduced.
In this embodiment, an apparatus lever detection method based on an intelligent road side apparatus is provided, which may be used for the above-mentioned intelligent road side apparatus, and fig. 2 is a flowchart of another apparatus lever detection method based on an intelligent road side apparatus according to an embodiment of the present invention, as shown in fig. 2, where the flowchart includes the following steps:
step S201, acquiring position information and posture information of the equipment lever at different moments. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S202, determining the motion trail of the equipment rod according to the position information and the gesture information of the equipment rod at different moments. Please refer to step S102 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S203, judging whether the equipment rod has abnormal conditions according to the movement track of the equipment rod, wherein the abnormal conditions comprise offset abnormal conditions and natural disaster abnormal conditions.
Specifically, the step S203 includes:
step S2031, determining an offset amount of the equipment lever according to the movement trajectory and the initial position of the equipment lever.
In some alternative embodiments, the device bar is normally located at the initial position, and according to the motion track and the initial position of the device bar, it can be judged that the device bar is offset, and the offset of the device bar is determined.
Step S2032, if the offset is greater than the offset threshold, determines that the equipment lever has an offset abnormality.
In some alternative embodiments, the manufacturer may perform mechanical stress testing on the equipment bar to obtain an offset threshold for the equipment bar when the equipment bar is manufactured, and may need to inspect and repair the equipment bar when the offset of the equipment bar exceeds the offset threshold.
In some alternative embodiments, the offset of the equipment rod is determined according to the motion track and the initial position of the equipment rod, the offset is compared with a preset offset threshold, and if the offset is greater than the offset threshold, the equipment rod is judged to have an offset abnormal condition.
In some optional embodiments, after step S2032, the method includes:
and a step a1, generating offset anomaly information according to the offset anomaly condition.
And a2, transmitting offset anomaly information to the target platform, wherein the offset anomaly information comprises the offset of the equipment rod.
In some optional embodiments, after the offset abnormal condition is obtained, offset abnormal information is generated and reported to the platform, and the offset abnormal information comprises offset of the equipment rod, so that the platform is matched with related departments to check and maintain the equipment rod in time according to the offset, and the equipment rod is prevented from collapsing, so that injury is caused to personnel and vehicles below the equipment rod.
Step S204, if the equipment rod is judged to have abnormal conditions, abnormal information is sent to the target platform. Please refer to step S104 in the embodiment shown in fig. 1 in detail, which is not described herein.
In this embodiment, an apparatus lever detection method based on an intelligent road side apparatus is provided, which may be used for the above-mentioned intelligent road side apparatus, and fig. 3 is a flowchart of another apparatus lever detection method based on an intelligent road side apparatus according to an embodiment of the present invention, and as shown in fig. 3, the flowchart includes the following steps:
step S301, acquiring position information and posture information of the equipment lever at different moments. Please refer to step S101 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S302, determining the motion trail of the equipment rod according to the position information and the gesture information of the equipment rod at different moments. Please refer to step S102 in the embodiment shown in fig. 1 in detail, which is not described herein.
Step S303, judging whether the equipment rod has abnormal conditions according to the movement track of the equipment rod, wherein the abnormal conditions comprise offset abnormal conditions and natural disaster abnormal conditions.
Specifically, the step S303 includes:
step S3031, determining the vibration swing of the equipment rod according to the motion trail;
in some alternative embodiments, when a natural disaster such as an earthquake or typhoon is encountered, the device rod generates regular deviation along with the change of external conditions, which is called vibration swing herein, and when the natural disaster is encountered, the vibration swing of the device rod is determined according to the motion track of the device rod.
Step S3032, the vibration swing of the equipment rod is compared with preset standard data of natural disasters.
Step S3033, if the vibration amplitude is successfully matched with the standard data of the natural disasters, judging that the abnormal condition of the natural disasters exists.
In some optional embodiments, the method for detecting the equipment pole based on the intelligent road side equipment provided by the invention is pre-configured with standard data of natural disasters, wherein the data comprises corresponding relations between vibration swing amplitude of the equipment pole and each level of natural disasters, when the vibration swing amplitude of the equipment pole is detected, the vibration swing amplitude of the equipment pole is matched with the vibration swing amplitude of the equipment pole in the preset standard data of the natural disasters, and after the matching is successful, the possible occurrence of the natural disasters is described, and the abnormal situation of the natural disasters is judged.
In some optional embodiments, after step S3033 described above, the method includes:
and a step a1, generating natural disaster abnormal information according to the natural disaster abnormal condition.
And a2, transmitting natural disaster abnormal information to a target platform, wherein the natural disaster abnormal information comprises the type and the grade of the natural disaster.
In some optional embodiments, natural disaster abnormal information is generated according to natural disaster abnormal conditions, the natural disaster abnormal information comprises types and grades of natural disasters obtained by matching vibration swing of equipment rods with vibration swing of equipment rods in preset natural disaster standard data, the natural disaster abnormal information is reported to a platform, the natural disaster abnormal information comprises the types and grades of the natural disasters, the platform can report the information to a management department, the management department can push the information, influence caused by the natural disasters is reduced, and meanwhile the natural disaster abnormal information can be used as an information source of a related earthquake forecasting system. Compared with the detection of natural disasters by a natural disaster detection system in the related art, the invention does not need to be independently provided with a natural disaster detection system, and reduces the operation cost.
Step S304, if the equipment rod is judged to have abnormal conditions, abnormal information is sent to the target platform. Please refer to step S104 in the embodiment shown in fig. 1 in detail, which is not described herein.
The embodiment provides a device rod detection method based on intelligent road side equipment, which can be used for the intelligent road side equipment.
The intelligent road side equipment acquires position information and posture information of the equipment rod at different moments, determines the motion trail of the equipment rod according to the position information and the posture information of the equipment rod at different moments, and judges whether the equipment rod has an abnormal condition according to the motion trail of the equipment rod.
Determining the offset of the equipment rod according to the motion track and the initial position of the equipment rod, if the offset is larger than an offset threshold value, judging that the equipment rod has an offset abnormal condition, generating offset abnormal information according to the offset abnormal condition, and sending the offset abnormal information to a target platform, wherein the offset abnormal information comprises the offset of the equipment rod.
Determining vibration swing of the equipment rod according to the motion track, comparing the vibration swing of the equipment rod with preset standard data of natural disasters, judging that natural disasters are abnormal if the vibration swing is successfully matched with the standard data of the natural disasters, generating natural disaster abnormal information according to the natural disaster abnormal conditions, and sending the natural disaster abnormal information to a target platform, wherein the natural disaster abnormal information comprises types and grades of the natural disasters.
In this embodiment, an apparatus rod detection device based on an intelligent road side apparatus is further provided, and the apparatus rod detection device is used to implement the foregoing embodiments and preferred embodiments, which have already been described and will not be described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
The embodiment provides a device lever detection apparatus based on intelligent road side equipment, as shown in fig. 4, including:
the real-time dynamic positioning module 401 is configured to obtain position information and posture information of the equipment pole at different moments.
And the inertia measurement module 402 is used for determining the motion track of the equipment rod according to the position information and the posture information of the equipment rod at different moments.
The force calculation module 403 is configured to determine a motion track of the equipment rod according to the poses of the equipment rod at different moments; judging whether abnormal conditions exist according to the motion trail of the equipment rod, wherein the abnormal conditions comprise offset abnormal conditions and natural disaster abnormal conditions.
The data transmission module 404, if it is determined that an abnormal situation exists, the data transmission module 504 is configured to send abnormal information to the target platform.
The embodiment provides a device lever detection apparatus based on intelligent road side equipment, as shown in fig. 5, including:
the real-time dynamic positioning module 501 is configured to obtain position information and posture information of the equipment pole at different moments.
And the inertia measurement module 502 is used for determining the motion track of the equipment rod according to the position information and the posture information of the equipment rod at different moments.
A force calculation module 503, configured to determine a motion track of the equipment rod according to the poses of the equipment rod at different moments; judging whether abnormal conditions exist according to the motion trail of the equipment rod, wherein the abnormal conditions comprise offset abnormal conditions and natural disaster abnormal conditions.
And the data transmission module 504 is configured to send the anomaly information to the target platform if it is determined that the anomaly condition exists.
And the receiving module 505 is used for receiving traffic data sent by the mounting equipment on the equipment pole.
And the sending module 506 is configured to send the traffic data to the target platform.
In some alternative embodiments, the intelligent road side device is used as an important component terminal of vehicle-road cooperation, and can communicate traffic data with an on-board unit (OBU) at the vehicle end through a direct communication interface (pc 5) and upload the traffic data to the target platform through 5G.
Further functional descriptions of the above respective modules are the same as those of the above corresponding embodiments, and are not repeated here.
The intelligent roadside device in this embodiment is presented in the form of functional units, where the units refer to ASIC (Application Specific Integrated Circuit ) circuits, processors and memories executing one or more software or fixed programs, and/or other devices that can provide the functionality described above.
The embodiment of the invention also provides computer equipment, which is provided with the equipment rod detection device based on the intelligent road side equipment shown in the figure 4.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a computer device according to an alternative embodiment of the present invention, as shown in fig. 6, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting the various components, including high-speed interfaces and low-speed interfaces. The various components are communicatively coupled to each other using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the computer device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In some alternative embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple computer devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 10 is illustrated in fig. 6.
The processor 10 may be a central processor, a network processor, or a combination thereof. The processor 10 may further include a hardware chip, among others. The hardware chip may be an application specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general-purpose array logic, or any combination thereof.
Wherein the memory 20 stores instructions executable by the at least one processor 10 to cause the at least one processor 10 to perform the methods shown in implementing the above embodiments.
The memory 20 may include a storage program area that may store an operating system, at least one application program required for functions, and a storage data area; the storage data area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, memory 20 may optionally include memory located remotely from processor 10, which may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk, or solid state disk; the memory 20 may also comprise a combination of the above types of memories.
The computer device also includes a communication interface 30 for the computer device to communicate with other devices or communication networks.
The embodiments of the present invention also provide a computer readable storage medium, and the method according to the embodiments of the present invention described above may be implemented in hardware, firmware, or as a computer code which may be recorded on a storage medium, or as original stored in a remote storage medium or a non-transitory machine readable storage medium downloaded through a network and to be stored in a local storage medium, so that the method described herein may be stored on such software process on a storage medium using a general purpose computer, a special purpose processor, or programmable or special purpose hardware. The storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, a solid state disk or the like; further, the storage medium may also comprise a combination of memories of the kind described above. It will be appreciated that a computer, processor, microprocessor controller or programmable hardware includes a storage element that can store or receive software or computer code that, when accessed and executed by the computer, processor or hardware, implements the methods illustrated by the above embodiments.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.
Claims (10)
1. An equipment rod detection method based on intelligent road side equipment, which is characterized by comprising the following steps:
acquiring position information and posture information of the equipment rod at different moments;
determining a motion track of the equipment rod according to the position information and the posture information of the equipment rod at different moments;
judging whether the equipment rod has abnormal conditions according to the motion trail of the equipment rod, wherein the abnormal conditions comprise offset abnormal conditions and natural disaster abnormal conditions;
and if the equipment rod is judged to have an abnormal condition, sending abnormal information to a target platform.
2. The method of claim 1, wherein said determining whether an abnormal condition exists in the equipment pole based on the motion profile of the equipment pole comprises:
determining the offset of the equipment rod according to the motion trail and the initial position of the equipment rod;
and if the offset is larger than an offset threshold value, judging that the equipment rod has an offset abnormal condition.
3. The method of claim 2, wherein after the step of determining that an offset anomaly exists for the equipment pole, the method comprises:
generating offset anomaly information according to the offset anomaly condition;
and sending the offset anomaly information to a target platform, wherein the offset anomaly information comprises the offset of the equipment rod.
4. The method of claim 1, wherein said determining whether an abnormal condition exists in the equipment pole based on the motion profile of the equipment pole comprises:
determining the vibration swing of the equipment rod according to the motion trail;
comparing the vibration swing of the equipment rod with preset standard data of natural disasters;
and if the vibration swing is successfully matched with the standard data of the natural disasters, judging that the abnormal condition of the natural disasters exists.
5. The method according to claim 4, wherein the predetermined standard data of the natural disaster includes:
and the vibration swing of the equipment rod is corresponding to each grade of each natural disaster.
6. The method of claim 5, wherein after the step of determining that a natural disaster anomaly exists, the method comprises:
generating natural disaster abnormal information according to the natural disaster abnormal condition;
and sending the natural disaster abnormal information to the target platform, wherein the natural disaster abnormal information comprises the type and grade of the natural disaster.
7. An equipment pole detection device based on intelligent road side equipment, characterized in that, the equipment includes:
the real-time dynamic positioning module is used for acquiring the position information and the posture information of the equipment rod at different moments;
the inertia measurement module is used for determining the motion trail of the equipment rod according to the position information and the posture information of the equipment rod at different moments;
the force calculation module is used for determining the motion trail of the equipment rod according to the gestures of the equipment rod at different moments; judging whether an abnormal condition exists according to the motion trail of the equipment rod, wherein the abnormal condition comprises an offset abnormal condition and a natural disaster abnormal condition;
and the data transmission module is used for sending abnormal information to the target platform if the abnormal condition exists.
8. The apparatus of claim 7, wherein the device comprises:
the receiving module is used for receiving traffic data sent by the mounting equipment on the equipment rod;
and the sending module is used for sending the traffic data to the target platform.
9. A computer device, comprising:
a memory and a processor, the memory and the processor being communicatively connected to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the intelligent roadside device-based device bar detection method of any one of claims 1 to 6.
10. A computer-readable storage medium, wherein computer instructions for causing a computer to execute the intelligent roadside device-based device bar detection method of any one of claims 1 to 6 are stored thereon.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310637981.XA CN116679332A (en) | 2023-05-31 | 2023-05-31 | Equipment rod detection method, device, equipment and medium based on intelligent road side equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310637981.XA CN116679332A (en) | 2023-05-31 | 2023-05-31 | Equipment rod detection method, device, equipment and medium based on intelligent road side equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116679332A true CN116679332A (en) | 2023-09-01 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310637981.XA Pending CN116679332A (en) | 2023-05-31 | 2023-05-31 | Equipment rod detection method, device, equipment and medium based on intelligent road side equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116679332A (en) |
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2023
- 2023-05-31 CN CN202310637981.XA patent/CN116679332A/en active Pending
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