CN215868163U - Edge computing device and control system for traffic intersection - Google Patents
Edge computing device and control system for traffic intersection Download PDFInfo
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Abstract
The utility model relates to an edge computing device and a control system for a traffic intersection, the edge computing device for a traffic intersection comprising: the device comprises a circuit board, a main control device arranged on the circuit board, at least one AI chip connected with the main control device, a storage device, an interface device and a temperature adjusting device; the temperature adjusting device comprises a temperature sensor, a cooling device for cooling and a heating device for heating; the interface device is used for connecting sensing equipment, and the sensing equipment comprises at least one of annunciator equipment, camera equipment and radar equipment; the main control device is used for receiving the sensing data of the sensing equipment through the interface device; the AI chip is used for converting the perception data into structured data and sending the structured data to the main control device; the main control device is also used for carrying out fusion calculation on the structured data to obtain a calculation result for representing the intersection traffic state. The local logic decision of the equipment is not required to be decided through a cloud terminal, so that the real-time performance is higher, and the network resources are saved.
Description
Technical Field
The present invention relates to the field of electronic devices, and in particular, to an edge computing device and a control system for a traffic intersection.
Background
With the increasing quantity of automobiles in China, the intelligent requirement of the traffic industry is increased, but the industry is very fragmented at present and cannot effectively fuse the information of each subsystem together. If the remote cloud fusion is performed, the problem of delay cannot be avoided, and the original data volume before the fusion is very large, which occupies more network bandwidth resources.
The edge computing technology can well solve the problems, the edge computing technology is a technology developed under the background of high bandwidth, time sensitivity and internet of things integration, the edge computing originates from the field of media, namely an open platform integrating network, computing, storage and application core capabilities is adopted on one side close to an object or a data source, a nearest-end service is provided nearby, an application program of the edge computing technology is initiated on the edge side to generate a faster network service response, the basic requirements of the industry on real-time business, application intelligence, safety, privacy protection and the like are met, the edge computing is positioned between a physical entity and an industrial connection or on the top of the physical entity, and the edge computing equipment is intelligent equipment applied to the edge computing.
However, most of the existing edge computing devices cannot meet the use environment of the outdoor cabinet, and the computing power and the interfaces cannot meet the use requirements of the traffic intersection.
SUMMERY OF THE UTILITY MODEL
The application provides a marginal computing device and a control system for traffic intersections, wherein the marginal computing device has high operational capacity, low power consumption and rich expansion interfaces, adopts a modular design on hardware, can be expanded according to product requirements, and has very good scene applicability.
A first aspect provides an edge computing device for a traffic intersection, comprising:
the temperature control device comprises a first shell, a second shell, a circuit board, a main control device, at least one AI chip, a storage device, an interface device and a temperature adjusting device, wherein the first shell and the second shell are arranged oppositely, the circuit board is arranged in an accommodating space formed by the first shell and the second shell, the main control device is arranged on the circuit board, and the AI chip, the storage device, the interface device and the temperature adjusting device are connected with the main control device;
the temperature adjusting device comprises a temperature sensor for monitoring the temperature of the main control device, a cooling device for cooling and a heating device for heating;
the interface device is used for connecting sensing equipment, and the sensing equipment comprises at least one of signal equipment, camera equipment and radar equipment;
the main control device is used for receiving perception data of perception equipment through the interface device;
the AI chip is used for converting the perception data into structured data and sending the structured data to the main control device;
and the main control device is also used for carrying out fusion calculation on the structured data to obtain a calculation result for representing the traffic state of the intersection.
In some embodiments, the cooling device includes a heat dissipation fan disposed at an inner sidewall of the first housing or the second housing.
In some embodiments, the inner side wall of the first housing or the second housing is a grid-type structure.
In some embodiments, the temperature adjustment device further includes a heat dissipation device, the heat dissipation device includes a heat conduction module and a metal heat conduction pipe, the heat conduction module is attached to the main control device, the metal heat conduction pipe is attached to the heat conduction module, and the heat conduction module is filled with a heat conduction material.
In some embodiments, the heating device includes a heating film disposed on a surface of the metal heat conduction pipe, and the metal heat conduction pipe is configured to conduct heat of the heating film to the main control device through the heat conduction module.
In some embodiments, the master control device comprises a central processing unit, and the central processing unit comprises a charged erasable programmable read only memory, an RTC circuit, a clock buffer and a DDR4 memory.
In some embodiments, the storage devices include EMMC memory chips, solid state drives, and hard disk drives.
In some embodiments, the master device is connected to the interface device via a high speed bus, the interface device including at least one of: gigabit Ethernet interface, gigabit fiber interface, USB3.0 interface, GPO interface, RS485 interface, RS232 interface, GPS antenna interface and TF card slot interface.
In some embodiments, the storage device includes an EMMC storage chip, a solid state drive, and a hard disk drive, where the EMMC storage chip is connected to the main control device via an SDIO bus, the solid state drive is connected to the main control device via an SATA3 bus, and the hard disk drive is connected to the main control device via a PCIE bus.
A second aspect provides a control system for a traffic intersection, comprising: the control system comprises at least one edge computing device, at least one camera and at least one radar device; wherein the edge computing device is as described above.
In the edge computing device, the main control device in the accommodating space formed by the first shell and the second shell is connected with the AI chip, the storage device, the interface device and the temperature adjusting device. The temperature adjusting device arranged in the accommodating space formed by the first shell and the second shell can monitor the current environment temperature in real time and adjust the temperature in the accommodating space in real time according to the current environment temperature to be in the temperature which is most suitable for the operation of the main control device, the AI chip, the storage device and the interface device, so that the edge computing equipment can be adapted to the wide temperature range environment of-40-70 ℃. And compared with a control processor based on a traditional architecture, the main control device connected with the AI chip can liberate the main control device from a physical simulation and an artificial intelligence algorithm which are not good at the main control device, so that the resource occupation of the main control device is reduced, and the whole equipment can run at the maximum efficiency. Therefore, the edge computing equipment can be applied to a use scene of a traffic intersection, meets the use environment in a roadside signal cabinet, can fuse the original data of each sensor of the large intersection, simultaneously makes a local logic decision, does not need to be decided through a cloud end, is higher in instantaneity and saves network resources.
Drawings
FIG. 1 is a block diagram of an edge computing device in one embodiment, showing a heating mode;
FIG. 2 is another block diagram of an edge computing device in one embodiment, showing a heat dissipation mode;
FIG. 3 is a schematic diagram of a circuit configuration of an edge computing device provided in one embodiment;
FIG. 4 is a block diagram of a master control device of an edge computing device in one embodiment;
FIG. 5 is a block diagram of an interface device of an edge computing device in one embodiment;
wherein the reference numerals are: 1. a power interface; 2. 2 RS485 serial ports +1 232 serial port; 3. a 16-way GPO (General-purpose-output) interface; 4. a TF card interface; 5. 2 USB3.0 interface +1 Ethernet interface; 6. 8-way Ethernet interfaces; 7. one path of gigabit optical fiber interface; 8. 4-path gigabit optical fiber interface; 9. 2-channel USB3.0 interface; 10. 1 path of GPS antenna interface; 11. 1 power switch.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which this application belongs.
In addition, the terms "first" and "second", etc. are used to distinguish different objects, rather than to describe a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The embodiment of the present application provides an edge computing device, which is exemplarily described below with reference to the embodiment and fig. 1 to 5.
The edge computing device of the present application, as shown in fig. 1 to 3, may include a first casing and a second casing which are oppositely disposed, a circuit board (e.g., a printed circuit board, a PCB) which is disposed in an accommodation space formed by the first casing and the second casing, and a main control device disposed on the circuit board, wherein the main control device is a Central Processing Unit (CPU), at least one AI chip (e.g., 4 AI chips) connected to the main control device, a storage device, an interface device, and a temperature adjustment device;
the temperature adjusting device comprises a temperature sensor for monitoring the temperature of the main control device, a cooling device for cooling and a heating device for heating;
the interface device is used for connecting sensing equipment, and the sensing equipment comprises at least one of annunciator equipment, camera equipment and radar equipment;
the main control device is used for receiving the sensing data of the sensing equipment through the interface device;
the AI chip is used for converting the perception data into structured data and sending the structured data to the main control device;
the main control device is also used for carrying out fusion calculation on the structured data to obtain a calculation result for representing the intersection traffic state.
In this embodiment, set up temperature regulation apparatus in the accommodation space that first casing and second casing formed, can heat master control set when low temperature, and cool down master control set when high temperature for edge computing device can maintain a comparatively invariable temperature interval, reduces outside ambient temperature's influence, thereby makes edge computing device can adapt to the wide temperature range environment of-40 ~ 70 ℃. Meanwhile, the AI chip is connected with the main control device and can convert the original data into the structured data, and the original data received from the outside can be converted into the managed structured data, compared with the control processor based on the traditional architecture, the AI chip can liberate the main control device from the unauthorized physical simulation and artificial intelligence algorithm, thereby reducing the resource occupation of the main control device and ensuring that the whole equipment operates at the maximum efficiency. Therefore, the edge computing equipment can be applied to a use scene of a traffic intersection, meets the use environment in a roadside signal cabinet, can fuse the original data of each sensor of the large intersection, simultaneously makes a local logic decision, does not need to be decided through a cloud end, is higher in instantaneity and saves network resources.
In some embodiments, as shown in fig. 1, the temperature adjustment apparatus further includes a heat dissipation device, the heat dissipation device includes a heat conduction module attached to the main control device and a metal heat pipe attached to the heat conduction module, wherein the heat conduction module is limited in a range of an attachment surface of the heat conduction module to the central processing unit, the heat conduction module is attached to the main control device, and the metal heat pipe is attached to the heat conduction module.
In one embodiment, the interior of the heat conducting module is filled with a heat conducting material, and the heat conducting material is a phase change material, so that the main control device is maintained in a relatively stable temperature range, and the influence of severe temperature change on the calculation force of the main control device is avoided.
In another embodiment, the heat conducting module may be a material with high heat conductivity, such as a pre-formed metal heat conducting member, and the metal heat conducting member is directly covered on the main control device during the preparation process. Of course, it is understood that physical vapor deposition may be used to deposit the metal layer, or chemical vapor deposition, ink jet printing, and the like may be used. The heat conducting module is limited in the range of the binding surface of the heat conducting module and the CPU, so that the heat conducting module is prevented from overflowing and extending to an unexpected position to cause pollution.
In some embodiments, as shown in fig. 2, the heating device includes a heating film disposed on a surface of a metal heat conducting pipe, and the metal heat conducting pipe is used for conducting heat of the heating film to the main control device through the heat conducting module. Wherein, the metal heat conduction pipe can be a heat conduction copper pipe.
In some application scenarios, as shown in fig. 1, when the external temperature is relatively low (e.g., -40 ℃ to 5 ℃), the temperature in the accommodating space needs to be raised to maintain the normal operating state of the edge computing device, at this time, the heating film attached to the surface of the metal heat pipe is controlled by the main control device to generate heat, and then the heat is transferred to the main control device through the metal heat pipe and the heat conducting module. Of course, in the process, the temperature of the main control device is monitored in real time through the temperature sensor so as to control the heating temperature of the heating film.
In some embodiments, as shown in fig. 1 and 2, the cooling means comprises a fan disposed on an inner side wall of the second housing.
In this embodiment, the heat dissipation fan can discharge hot air in the accommodating space formed by the first casing and the second casing from the side wall between the first casing and the second casing, and can suck external cold air into the accommodating space. Furthermore, for the matching of heat dissipation and air intake, the shell wall of the second shell is of a grid type structure.
In other embodiments, the cooling device fan may be disposed on an inner sidewall of the first housing, in which case the wall of the first housing is a grid-type structure.
In some application scenarios, as shown in fig. 2, when the external temperature is relatively high (e.g., 20 ℃ to 40 ℃), the inside of the accommodating space needs to be cooled, the main control device controls the cooling fan to open, the cooling fan conveys cold air to the inside of the accommodating space and expels hot air in the accommodating space from the grille-type structure on the wall of the second housing, so as to cool the accommodating space and maintain the normal working state of the edge computing device. Certainly, because the heat conduction module is attached to the main control device, the heat conduction module is attached to the metal heat conduction pipe, heat generated by the main control device is transmitted to the metal heat conduction pipe through the heat conduction module in sequence and is rapidly led out to the space above the metal heat conduction pipe through the metal heat conduction pipe, and the heat dissipated by the cooling fan is blown to the side part of the shell through cold air sucked from the outside. The heat of the main control device can be transmitted out through the heat conduction module and the metal heat conduction pipe, and the purpose of cooling is achieved.
In some embodiments, the storage devices include an EMMC memory chip, a solid state drive (NVMESSD), and a Hard Disk Drive (HDD).
The storage device is used for storing an operating system, saving logs, structured data and the like. In some embodiments, the AI chip is connected to the master control device via a PCIe bus; the interface device is connected with the main control device through a high-speed bus; the EMMC storage chip is connected with the main control device through an SDIO bus, the Hard Disk Drive (HDD) is connected with the main control device through an SATA3 bus, and the hard disk drive storage chip is connected with the main control device through a PCIE bus.
In some application scenarios, the storage device includes an on-board 128GBEMMC memory chip, a m.2nvmessd (solid state drive, commonly referred to as solid state disk) and 2 blocks of 2.5/3.5 inch HDDs (hard disk drive, commonly referred to as mechanical hard disk), wherein the SSD and the HDD can be configured according to actual use requirements, for example, 1 block of SSD with 256GB capacity and 2 blocks of HDD with 1TB capacity. The on-board 128GEMMC memory chip is used for storing an operating system and saving logs, and the HDD and the SSD are used for saving original data, structured data and the like.
In some application scenarios, the main function of the main control device (CPU) is to obtain raw data of the external sensor through the interface portion, which mainly includes video data of intersection traffic conditions captured by the camera and obstacle information obtained by the millimeter wave radar and the laser radar, and in some embodiments, may further include signal data of the traffic signal machine.
The CPU distributes and issues original data to all AI chips of the acceleration part through a high-speed bus according to the acquired perception data of road sections in different directions, the AI chips convert the original data into structured data and then transmit the structured data back to the CPU, the CPU runs a fusion algorithm to fuse the data of all sensors, the CPU obtains a calculation result for representing the traffic state of the intersection through an AI intelligent algorithm (AI perception fusion algorithm) according to the fused data and judges the state of the intersection so as to carry out local judgment and execution, the executed equipment comprises but is not limited to a traffic indicator lamp, an electronic guideboard, V2X-RSU, and the fused data, the judgment result and the execution result can be transmitted to a cloud end through an interface part or stored in a storage part for record.
The sensing fusion algorithm can also be operated on an AI chip, the AI chip processes the received original data into structured data, and then judges the state of the intersection through the AI sensing fusion algorithm, so as to make local judgment and execute the judgment (the executed equipment comprises but is not limited to a traffic indicator light, an electronic guideboard, V2X-RSU).
Further, in some embodiments, the AI chip is a board card structure, and the edge computing device is further provided with slots for the AI chip, so that the number of the AI chip can be flexibly increased or decreased as needed, and the number of the AI accelerators (AI chips) can be expanded as needed.
In some application scenarios, the equipment can comprise 4 AI chips, the AI chips are standard M.2 board cards, the number of the AI chips can be flexibly configured according to the actual situation on site, the cost is conveniently controlled, and the maintenance is facilitated.
The AI chip is loaded with an AI algorithm and can convert the original data received from the outside into the treated structured data; the AI chip can liberate the CPU from the unauthorized physical simulation and artificial intelligence algorithm, reduce the resource occupation of the CPU and ensure that the whole equipment operates at the maximum efficiency.
In some embodiments, as shown in fig. 4, the master control device includes a Central Processing Unit (CPU), and the CPU is electrically connected to an eeprom, an RTC circuit, a clock buffer, and a DDR4 memory.
The main control device adopts an ARM architecture, the central processing unit is a 16-core CPU, and the CPU is a minimum CPU system which is loaded with a 16GB 3200MHzDDR4 memory, a charged erasable programmable read only memory (EEPROM), an RTC (Real-time clock) circuit and a clock buffer. The EEPROM is a memory chip with no data loss after power failure, can erase existing information on a computer or special equipment, reprograms, is generally used for plug and play, and is used for storing configuration information required after a CPU is electrified so as to ensure the normal work of a minimum system. The RTC circuit is used for ensuring the normal operation of the system time after the system is powered off; the clock BUFFER (clock BUFFER) is used for providing each path of clock required by the CPU during operation and outputting the clock to the external interface.
In some embodiments, the master control device is connected to the interface device through a high-speed bus, and all external data interaction needs to be implemented through the interface portion. As shown in fig. 5, the interface apparatus includes: gigabit Ethernet interface, gigabit fiber interface, USB3.0 interface, GPO interface, RS485 interface, RS232 interface, GPS antenna interface and TF card slot interface.
In some application scenarios, such as a typical intersection traffic scenario, as shown in fig. 5, the interface device includes: the power interface 1, 2 RS485 serial ports +1 serial port 232, 2 GPO (General-purpose-output) interfaces 16, TF card interface 4, 2 USB3.0 interfaces +1 ethernet interface 5, 8 ethernet interfaces 6, one gigabit fiber interface 7, 4 gigabit fiber interface 8, 2 USB3.0 interfaces 9, 1 GPS antenna interface 10, and 1 power switch 11.
In one implementation, the main control CPU is further loaded with a narrowband internet of things (NB-IOT) platform interface, which can provide a standard interface, and implement access to external traffic data, such as video data captured by a camera at an intersection, radar data sensed by radar equipment, and traffic signal lamp data at the intersection, to avoid incompatibility due to inconsistency of equipment models.
In one embodiment, the result of the CPU fusion perception can be sent to the cloud control platform through an ethernet interface in a wired or wireless manner.
The embodiment of the application provides a control system for a traffic intersection, which comprises at least one edge computing device, at least one camera and at least one radar device, wherein the edge computing device is the edge computing device described in the embodiment.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the computer program is executed. The storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a Read-only memory (ROM), or a Random Access Memory (RAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An edge computing device for a traffic intersection, comprising: the temperature control device comprises a first shell, a second shell, a circuit board, a main control device, at least one AI chip, a storage device, an interface device and a temperature adjusting device, wherein the first shell and the second shell are arranged oppositely, the circuit board is arranged in an accommodating space formed by the first shell and the second shell, the main control device is arranged on the circuit board, and the AI chip, the storage device, the interface device and the temperature adjusting device are connected with the main control device;
the temperature adjusting device comprises a temperature sensor for monitoring the temperature of the main control device, a cooling device for cooling and a heating device for heating;
the interface device is used for connecting sensing equipment, and the sensing equipment comprises at least one of signal equipment, camera equipment and radar equipment;
the main control device is used for receiving perception data of perception equipment through the interface device;
the AI chip is used for converting the perception data into structured data and sending the structured data to the main control device;
and the main control device is also used for carrying out fusion calculation on the structured data to obtain a calculation result for representing the traffic state of the intersection.
2. The edge computing device of claim 1, wherein the cooling arrangement comprises a heat sink fan disposed on an interior sidewall of the first or second housing.
3. The edge computing device of claim 1, wherein an interior sidewall of the first or second housing is a grid-like structure.
4. The edge computing device of claim 1 or 2, wherein the temperature adjustment device further comprises a heat dissipation device, the heat dissipation device comprises a heat conduction module and a metal heat conduction pipe, the heat conduction module is attached to the main control device, the metal heat conduction pipe is attached to the heat conduction module, and the interior of the heat conduction module is filled with a heat conduction material.
5. The edge computing device of claim 4, wherein the heating device comprises a heating film disposed on a surface of the metal heat conducting pipe, and the metal heat conducting pipe is configured to conduct heat of the heating film to the main control device through the heat conducting module.
6. The edge computing device of claim 1, wherein the master control device comprises a central processing unit comprising a powered erasable programmable read only memory (eeprom), a Real Time Clock (RTC) circuit, a clock buffer, and a DDR4 memory.
7. The edge computing device of claim 1, wherein the storage comprises an EMMC memory chip, a solid state drive, and a hard disk drive.
8. The edge computing device of claim 1, wherein the master device is coupled to the interface device via a high-speed bus, the interface device comprising at least one of: gigabit Ethernet interface, gigabit fiber interface, USB3.0 interface, GPO interface, RS485 interface, RS232 interface, GPS antenna interface and TF card slot interface.
9. The edge computing device of claim 1, wherein the storage device comprises an EMMC memory chip, a solid state drive, and a hard disk drive, wherein the EMMC memory chip is connected to a master control device via an SDIO bus, the solid state drive is connected to the master control device via an SATA3 bus, and the hard disk drive is connected to the master control device via a PCIE bus.
10. A control system for a traffic intersection, the control system comprising at least one edge computing device, at least one camera, at least one radar device; wherein,
the edge computing device as claimed in any one of claims 1 to 9.
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