Method for acquiring MEC sensing range, storage medium and electronic equipment
By approximate processing and distance calculation methods of MEC perception information, the problems of large amount of computing and low efficiency in the perception range detection of roadside MEC equipment are solved, and efficient perception range detection is realized, avoiding OOM problems.
Patent Information
- Application Number
- CN202411686814.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-22
- Publication Date
- 2025-03-07
AI Technical Summary
The prior art method of the standard detection of the perception range of the roadside MEC equipment has problems such as large calculation volume, low efficiency and OOM.
By obtaining MEC perception information in real time, analyzing MEC identity data, longitude data and latitude data, and performing approximation processing, reducing the amount of data, and then calculating the distance between any two latitude and longitude data, determining the maximum distance to obtain the MEC perception range.
This method uses the approximate processing of latitude and longitude data to calculate distance, significantly reduces the amount of data calculation, improves the calculation efficiency, and avoids OOM problems.
Smart Images
Figure CN119584047A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of intelligent traffic data collection, and specifically to a method, storage medium and electronic device for obtaining a MEC (Multi-Access Edge Computing) perception range. Background Art
[0002] In the construction of intelligent connected vehicle-road-cloud integration, the quality of basic roadside data is crucial. At present, MEC devices are mainly used to collect roadside information. Roadside MEC devices are used in scenarios with high real-time requirements, mainly including: reading the real-time phase and timing information of traffic lights at intelligent traffic intersections, broadcasting traffic data information to vehicles and pedestrians (such as dangerous driving reminders, high-speed ramp assistance, vehicle violation warnings, etc.), and transmitting traffic data information to the cloud platform for further processing. The perception range detection based on roadside MEC devices is a very important indicator for quality evaluation. In order to determine whether the perception range of each MEC device meets the standard, the current algorithm needs to traverse the coordinates of all point data perceived by the MEC device in one day, and calculate the distance between any two points. The maximum perception range of the device is obtained from the farthest distance. This involves the problem of doing a Cartesian product between two data sets of tens of millions and taking the maximum value. The amount of calculation is very large, and OOM (Out Of Memory) problems are prone to occur during the calculation process. Summary of the invention
[0003] The technical problem to be solved by the present application is that the existing method for detecting the compliance with the perception range of roadside MEC equipment has the problem of large amount of calculation, low efficiency and easy OOM, and thus provides a method for obtaining the MEC perception range, a storage medium and an electronic device.
[0004] In a first aspect, the technical solution of the present application provides a method for obtaining a MEC sensing range, including:
[0005] Obtain MEC perception information in real time;
[0006] Parsing the MEC identity data, longitude data and latitude data contained in the MEC perception information;
[0007] Approximately process each of the longitude data and each of the latitude data to obtain approximate processed longitude and latitude data;
[0008] Obtain the distance between any two of the longitude and latitude data, and determine the maximum distance;
[0009] The MEC perception range is obtained according to the maximum distance.
[0010] In some embodiments, the method for obtaining the MEC perception range, wherein the real-time acquisition of MEC perception information includes:
[0011] Real-time synchronization of MEC perception data;
[0012] The MEC perception data is preprocessed to remove abnormal data to obtain the MEC perception information.
[0013] In some schemes, the method for obtaining the MEC perception range, wherein each of the longitude data and each of the latitude data is approximated to obtain the approximate longitude and latitude data, the approximate processing is performed in the following manner:
[0014] Cut off N decimal places of each longitude data to obtain approximate longitude data;
[0015] Cut off the M digits after the decimal point of each longitude data to obtain approximate latitude data;
[0016] The approximate longitude data of the same sensing point and the approximate longitude data obtained by N decimal places of each longitude data are integrated into the approximate longitude and latitude data of the sensing point.
[0017] In some embodiments, the method for obtaining the MEC sensing range includes intercepting N decimal places of each longitude data to obtain the approximate longitude data, where N=5;
[0018] The M decimal places of each longitude data are intercepted to obtain the approximate latitude data, where M=5.
[0019] In some embodiments, the method for obtaining the MEC sensing range, wherein obtaining the distance between any two of the longitude and latitude data comprises:
[0020] After deleting duplicate longitude and latitude data, the distance between any two longitude and latitude data is calculated.
[0021] The method for obtaining the MEC sensing range described in some embodiments further includes:
[0022] Acquire a MEC standard perception range according to the MEC identity data;
[0023] If the difference between the MEC perception range corresponding to the same MEC identity data and the MEC standard perception range is greater than the set error range, it is determined that the MEC corresponding to the MEC identity data is abnormal.
[0024] The method for obtaining the MEC sensing range described in some embodiments further includes:
[0025] The detection results of whether the perception range of each MEC is abnormal are displayed in the visual map.
[0026] In a second aspect, the technical solution of the present application provides a computer-readable storage medium, in which program information is stored. After the computer reads the program information, the computer executes the steps of the method for obtaining the MEC perception range described in any technical solution of the first aspect.
[0027] In a third aspect, the technical solution of the present application provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the steps of the method for obtaining the MEC perception range described in any technical solution of the first aspect.
[0028] In a fourth aspect, the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory. The processor executes the computer program to implement the steps of the method for obtaining the MEC perception range described in any technical solution of the first aspect.
[0029] Compared with the prior art, the above technical solution provided by this application has the following technical effects:
[0030] The method, storage medium and electronic device for obtaining the MEC perception range provided by the present application, after obtaining MEC perception information in real time and parsing the MEC identity data, longitude data and latitude data contained in the MEC perception information, firstly approximate each of the longitude data and each of the latitude data to obtain the approximate processed longitude and latitude data, and the data volume can be reduced by approximate processing, and then based on the approximate processed data, the distance between any two of the longitude and latitude data is obtained, and the maximum distance is determined; the MEC perception range is obtained according to the maximum distance. Through the scheme of the present application, the distance calculation is performed using the approximate processed longitude and latitude data to determine the MEC perception range. Compared with the prior art that directly uses the real-time acquired MEC perception data for calculation, the amount of data calculation can be greatly reduced, the calculation efficiency can be improved, and the OOM problem can be effectively avoided. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] Figure 1 This is a flowchart of a method for obtaining a MEC sensing range according to an embodiment of the present application;
[0032] Figure 2 This is a flowchart of a method for obtaining a MEC sensing range according to another embodiment of the present application;
[0033] Figure 3 A schematic diagram of the hardware connection relationship of an electronic device that executes the method for obtaining the MEC perception range described in an embodiment of the present application. DETAILED DESCRIPTION
[0034] The specific implementation of the present application is further described below with reference to the accompanying drawings.
[0035] It is easy to understand that according to the technical solution of the present application, without changing the essential spirit of the present application, a variety of structural modes and implementation modes that can be replaced by those skilled in the art can be replaced with each other. Therefore, the following specific implementation modes and drawings are only exemplary descriptions of the technical solution of the present application, and should not be regarded as the entirety of the present application or as a limitation or restriction on the technical solution of the application.
[0036] The directional terms such as up, down, left, right, front, back, front, back, top, bottom, etc. mentioned or may be mentioned in this specification are defined relative to the structures shown in the drawings. They are relative concepts and may change accordingly according to different positions and different usage conditions. Therefore, these or other directional terms should not be interpreted as restrictive terms.
[0037] This embodiment provides a method for obtaining the MEC sensing range, which is applied to a processor. The processor can be set in a vehicle terminal, a cloud, a roadside device, etc. Figure 1 As shown, the method includes:
[0038] S100: Acquire MEC perception information in real time.
[0039] MEC can detect traffic data in real time, and the real-time detected data can be synchronized in real time by the processor in this solution.
[0040] S200: Parsing the MEC identity data, longitude data and latitude data included in the MEC perception information.
[0041] Each MEC has a device identifier, ID information, etc. These identifiers and information are uniquely associated with the MEC and can be used as MEC identity data. The traffic data detected by the MEC in real time will have its own latitude and longitude coordinates.
[0042] S300: Approximately process each of the longitude data and each of the latitude data to obtain approximate processed longitude and latitude data.
[0043] The approximate processing in this step can adopt a method such as rounding, or directly select the data of the digits after the decimal point. Through this step, some longitude data with very close values can be approximated to equal longitude data, and some latitude data with very close values can be approximated to equal latitude data, thereby greatly reducing the amount of data.
[0044] S400: Obtain the distance between any two of the longitude and latitude data, and determine the maximum distance.
[0045] The distance between any two points can be directly calculated according to the distance calculation formula between two points. Obviously, the two points with the largest distance must be the two points corresponding to the edge of the perception range.
[0046] S500: Obtain the MEC perception range according to the maximum distance.
[0047] As mentioned above, the two points with the largest distance are the two points corresponding to the edges of the perception range, and therefore, the MEC perception range can be obtained according to the maximum distance.
[0048] The above scheme provided in this embodiment, after obtaining MEC perception information in real time and parsing the MEC identity data, longitude data and latitude data contained in the MEC perception information, firstly performs approximate processing on each of the longitude data and each of the latitude data to obtain the approximate processed longitude and latitude data, and the approximate processing can reduce the amount of data, and then obtains the distance between any two of the longitude and latitude data based on the approximate processed data, and determines the maximum distance; obtains the MEC perception range according to the maximum distance. Through the scheme of this application, the distance calculation is performed using the approximate processed longitude and latitude data to determine the MEC perception range, which can greatly reduce the amount of data calculation, improve the calculation efficiency, and effectively avoid the OOM problem compared to the prior art that directly uses the real-time acquired MEC perception data for calculation.
[0049] In some embodiments, the method for obtaining the MEC perception range, the step S100 of obtaining MEC perception information in real time, includes:
[0050] S101: Synchronize MEC perception data in real time.
[0051] In specific implementation, the MEC-aware data in Kafka can be read synchronously in real time, and the data can be imported into the ODS layer of the Doris data warehouse to complete the real-time synchronization of MEC-aware data.
[0052] S102: Preprocess the MEC perception data and remove abnormal data to obtain the MEC perception information.
[0053] In this step, preprocessing can be performed in the following ways, but not limited to:
[0054] (1) Delete records containing missing MEC perception data, fill MEC perception data with the mean of global variables or attributes, fill MEC perception data with the most likely value, etc., to ensure the integrity of MEC perception data.
[0055] (2) Identify abnormal MEC perception data through descriptive statistical analysis, setting thresholds, or calculating standard deviations. When processing abnormal MEC perception data, you can choose to delete, replace, or retain it.
[0056] (3) Ensure that the format of MEC perception data is unified, such as unifying the date format to year, month, and day, or unifying the number format to floating point numbers, which will facilitate subsequent data processing and analysis.
[0057] (4) Identify and delete duplicate records and merge or delete redundant fields to ensure the uniqueness of MEC-aware data and reduce complexity.
[0058] (5) Verify the cleaned MEC perception data by comparing it with the original MEC perception data or using data verification rules to ensure its accuracy, consistency, and integrity.
[0059] Through preprocessing, it is possible to avoid the influence of abnormal MEC perception data on the accuracy of calculation results.
[0060] Further, in some schemes, in the method for obtaining the MEC perception range, in step S300, each of the longitude data and each of the latitude data is approximated to obtain the approximate longitude and latitude data, the approximate processing is performed in the following manner:
[0061] S301: intercepting N decimal places of each longitude data to obtain approximate longitude data, preferably, N=5.
[0062] S302: intercepting M decimal places of each longitude data to obtain approximate latitude data, preferably, M=5.
[0063] S303: Integrate the approximate longitude data of the same sensing point and the approximate longitude data obtained by N decimal places of each longitude data into the approximate longitude and latitude data of the sensing point.
[0064] After verification in actual scenarios, when both N and M are selected as 5, the requirements of accuracy and operation speed can be met at the same time. If N and M are selected as 6, the amount of data still reaches the level of tens of millions, and if N and M are selected as 4, the error of the final operation result reaches about ten meters, which is a large error. Therefore, in this application, it is preferred that both N and M are 5.
[0065] Further, the method for obtaining the MEC sensing range, the step S400 of obtaining the distance between any two longitude and latitude data, includes: deleting duplicate longitude and latitude data and calculating the distance between any two longitude and latitude data. After approximation processing, many identical values will appear, and these identical values are deduplicated and only one is retained, thereby further reducing the amount of calculation.
[0066] In some preferred embodiments, Figure 2 As shown, the method for obtaining the MEC sensing range also includes:
[0067] S600: Acquire a MEC standard perception range according to the MEC identity data.
[0068] The MEC standard perception range can be the perception range marked on the device when it leaves the factory.
[0069] S700: If the difference between the MEC perception range corresponding to the same MEC identity data and the MEC standard perception range is greater than the set error range, it is determined that the MEC corresponding to the MEC identity data is abnormal.
[0070] The set error range can be calculated based on the MEC standard perception range, for example, 0.05%×MEC standard perception range. If the actual detected MEC perception range differs from the MEC standard perception range by more than the allowable set error range, it means that the MEC is abnormal.
[0071] S800: Display the detection result of whether the sensing range of each MEC is abnormal in the visual map.
[0072] The system visualizes whether the perception range of each MEC is abnormal, making it easier for technical personnel to monitor it and respond promptly after discovering abnormalities.
[0073] The above-mentioned embodiments provided in the present application have been verified to reduce a large amount of calculations through approximate algorithms, and the results obtained can also ensure that the error range of the detection results of the MEC perception range is within 0.1 meters, which ultimately enables the Doris OOM algorithm to successfully obtain the results within 1 minute, which meets the expected effect.
[0074] An embodiment of the present application also provides a computer-readable storage medium, in which program information is stored. After the computer reads the program information, the computer executes the steps of the method for obtaining the MEC perception range described in any one of the schemes in the above method embodiments.
[0075] An embodiment of the present application also provides a computer program product, including a computer program / instruction, characterized in that when the computer program / instruction is executed by a processor, the steps of the method for obtaining the MEC perception range described in any one of the schemes in the above method embodiments are implemented.
[0076] Figure 3 FIG. 1 is a schematic diagram of the hardware structure of an electronic device in an embodiment of the present application. Figure 3 As shown, the electronic device includes:
[0077] at least one processor 320; and,
[0078] A memory 304 in communication with the at least one processor 320; wherein,
[0079] The memory 304 stores instructions that can be executed by the at least one processor 320, and the instructions are executed by the at least one processor 320 to implement the method for obtaining the MEC perception range recorded in any of the above embodiments.
[0080] Reference Figure 3 , the electronic device 300 may include one or more of the following components: a processing component 302 , a memory 304 , a power component 306 , a multimedia component 308 , an audio component 310 , an input / output (I / O) interface 312 , a sensor component 314 , and a communication component 316 .
[0081] The processing component 302 generally controls the overall operation of the electronic device 300. The processing component 302 may include one or more processors 320 to execute instructions to complete all or part of the steps of the above-mentioned method for obtaining the MEC sensing range. In addition, the processing component 302 may include one or more modules to facilitate the interaction between the processing component 302 and other components. For example, the processing component 302 may include a multimedia module to facilitate the interaction between the multimedia component 308 and the processing component 302.
[0082] The memory 304 is configured to store various types of data to support the operation of the method for obtaining the MEC sensing range. Examples of such data include instructions for any application or method operating on the electronic device 300, such as text, pictures, videos, etc. The memory 304 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.
[0083] The power component 306 provides power to the various components of the electronic device 300. The power component 306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the electronic device 300.
[0084] The multimedia component 308 includes a screen that provides an output interface between the electronic device 300 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of the touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 308 may also include a front camera and / or a rear camera. When the electronic device 300 is in an operating mode, such as a shooting mode or a video mode, the front camera and / or the rear camera may receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
[0085] The audio component 310 is configured to output and / or input audio signals. For example, the audio component 310 includes a microphone (MIC), and when the electronic device 300 is in an operation mode, such as an alarm mode, a recording mode, a voice recognition mode, and a voice output mode, the microphone is configured to receive an external audio signal. The received audio signal can be further stored in the memory 304 or sent via the communication component 316. In some embodiments, the audio component 310 also includes a speaker for outputting audio signals.
[0086] I / O interface 312 provides an interface between processing component 302 and peripheral interface modules, such as keyboards, click wheels, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.
[0087] The sensor assembly 314 includes one or more sensors for providing various aspects of status assessment for the electronic device 300. For example, the sensor assembly 314 may include a sound sensor. In addition, the sensor assembly 314 may detect the open / closed state of the electronic device 300, the relative positioning of the components, such as the display and keypad of the electronic device 300, and the sensor assembly 314 may also detect the operating state of the electronic device 300 or a component of the electronic device 300, the orientation or acceleration / deceleration of the electronic device 300, and the temperature change of the electronic device 300. The sensor assembly 314 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 314 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 314 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, etc.
[0088] The communication component 316 is configured to enable the electronic device 300 to provide the ability to communicate with other devices and cloud platforms in a wired or wireless manner. The electronic device 300 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 316 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 316 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
[0089] In an exemplary embodiment, the electronic device 300 may be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to execute the method for obtaining the MEC perception range described in any of the above embodiments.
[0090] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) that contain computer-usable program code.
[0091] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0092] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0093] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0094] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.
[0095] As needed, the above technical solutions can be combined to achieve the best technical effect.
[0096] The above are only the principles and preferred embodiments of the present application. It should be noted that, for ordinary technicians in this field, on the basis of the principles of the present application, several other modifications can be made, which should also be considered as the protection scope of the present application.
Claims
1. A method for obtaining a MEC sensing range, characterized in that: include: Obtain MEC perception information in real time; Parsing the MEC identity data, longitude data and latitude data contained in the MEC perception information; Approximately process each of the longitude data and each of the latitude data to obtain approximate processed longitude and latitude data; Obtain the distance between any two of the longitude and latitude data, and determine the maximum distance; The MEC perception range is obtained according to the maximum distance.
2. The method for obtaining the MEC sensing range according to claim 1, characterized in that: The real-time acquisition of MEC perception information includes: Real-time synchronization of MEC perception data; The MEC perception data is preprocessed to remove abnormal data to obtain the MEC perception information.
3. The method for obtaining the MEC sensing range according to claim 1, characterized in that: In the approximate processing of each of the longitude data and each of the latitude data to obtain the approximate processed longitude and latitude data, the approximate processing is performed in the following manner: Cut off N decimal places of each longitude data to obtain approximate longitude data; Cut off the M digits after the decimal point of each longitude data to obtain approximate latitude data; The approximate longitude data of the same sensing point and the approximate longitude data obtained by N decimal places of each longitude data are integrated into the approximate longitude and latitude data of the sensing point.
4. The method for obtaining the MEC sensing range according to claim 3, characterized in that: Cut off N decimal places of each longitude data to obtain approximate longitude data, where N=5; The M decimal places of each longitude data are intercepted to obtain the approximate latitude data, where M=5.
5. The method for obtaining the MEC sensing range according to claim 4, characterized in that: The obtaining the distance between any two of the longitude and latitude data comprises: After deleting duplicate longitude and latitude data, the distance between any two longitude and latitude data is calculated.
6. The method for obtaining the MEC sensing range according to any one of claims 1 to 5, characterized in that: The method further comprises: Acquire a MEC standard perception range according to the MEC identity data; If the difference between the MEC perception range corresponding to the same MEC identity data and the MEC standard perception range is greater than the set error range, it is determined that the MEC corresponding to the MEC identity data is abnormal.
7. The method for obtaining the MEC sensing range according to claim 6, characterized in that: The method further comprises: The detection results of whether the perception range of each MEC is abnormal are displayed in the visual map.
8. A computer-readable storage medium, characterized in that: The storage medium stores program information, and after the computer reads the program information, the computer executes the steps of the method for obtaining the MEC perception range according to any one of claims 1 to 7.
9. A computer program product, characterized in that The method comprises a computer program / instruction, wherein when the computer program / instruction is executed by a processor, the steps of the method for obtaining the MEC perception range described in any one of claims 1 to 7 are implemented.
10. An electronic device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method for obtaining the MEC perception range as described in any one of claims 1 to 7.