Intelligent automobile electromagnetic radiation evaluation method and related device

Abstract

The application belongs to the technical field of electromagnetic environment monitoring, and discloses a kind of intelligent vehicle electromagnetic radiation evaluation method and related device, comprising: obtaining the electromagnetic index value of each monitoring point in each radiation source in intelligent vehicle, and obtaining the comprehensive electromagnetic index value of each monitoring point in each frequency band according to the electromagnetic index value of each monitoring point in each radiation source;Wherein, electromagnetic index value includes electric field intensity, magnetic field intensity and energy flow density;According to the comprehensive electromagnetic index value of each monitoring point in each frequency band, combined with the electromagnetic index value safety limit value of each frequency band, based on electromagnetic safety constraint, the electromagnetic tolerance time of each monitoring point is obtained.Based on the introduction of electromagnetic tolerance time, in the face of multiple radiation sources in different frequency bands in intelligent vehicle, the factors of radiation frequency, intensity and time length are comprehensively considered, which effectively improves the comprehensiveness and accuracy of evaluation, and can be flexibly applied to the complex electromagnetic environment of intelligent vehicle, and provides a scientific basis for electromagnetic safety protection of intelligent vehicle.

Description

Technical Field

[0001] This invention belongs to the field of electromagnetic environment monitoring technology, and relates to a method and related device for assessing electromagnetic radiation from intelligent vehicles. Background Technology

[0002] With the rapid development of modern technology, automotive electronics and wireless communication technologies have been widely applied, propelling the automotive industry into a new era of high intelligence and informatization. However, this technological advancement has also brought about increasingly complex electromagnetic environments for intelligent vehicles. The increasing number of various electronic devices inside and outside intelligent vehicles, such as onboard radar, wireless communication modules, navigation systems, autonomous driving sensors, and charging systems, has significantly increased the radiation intensity and frequency of the electromagnetic environment, creating a complex and variable electromagnetic field. While electromagnetic radiation is an unavoidable part of modern intelligent vehicles, its potential health risks have attracted widespread attention. Studies have shown that prolonged exposure to high-intensity or specific-frequency electromagnetic radiation may have certain effects on the human nervous and immune systems, and even trigger chronic diseases. These potential risks have prompted relevant industries and researchers to pay more attention to the impact of electromagnetic radiation on the human body and to place higher demands on the electromagnetic safety assessment of the electromagnetic environment of intelligent vehicles.

[0003] Electromagnetic safety assessment (EMA) involves using scientific methods to detect, analyze, and evaluate the intensity and distribution of electromagnetic radiation in an electromagnetic environment to determine its potential impact on human health and equipment functionality. By identifying potential electromagnetic radiation hazards, it ensures that related equipment and facilities comply with national or international electromagnetic radiation safety standards. Its core value lies in protecting public health and providing a scientific basis for governments and enterprises to formulate reasonable electromagnetic environment management policies, thereby promoting the construction of green and healthy living and working environments. Existing EMA methods primarily focus on the analysis and verification of electromagnetic field exposure limits. Relevant standards, such as the safety limits proposed by the International Commission on Non-Ionizing Radiation Protection (ICNNP), provide references for electromagnetic exposure levels in a single frequency band.

[0004] However, in practical applications, the electromagnetic environment of intelligent vehicles is formed by the superposition of electromagnetic waves radiated by various radiation sources such as vehicle motors, vehicle wiring harnesses, DC / DC converters, and vehicle antennas. The frequency distribution of these radiation sources is quite wide, ranging from 50 to 5 x 10. 5The electromagnetic radiation levels in vehicles range from tens of hertz to several gigahertz, encompassing frequency bands such as 2.4–5.9 GHz, 76–79 GHz, etc. Therefore, the fact that a single radiation source meets radiation safety dose standards does not guarantee the safety and reliability of the entire vehicle's electromagnetic environment. Assessing the electromagnetic radiation safety of intelligent vehicles cannot be done in isolation by analyzing a single electronic device or frequency point; rather, it should consider the combined effect of the field strengths. Furthermore, the impact of radiation sources on human health is related not only to the intensity of electromagnetic exposure but also to the duration of exposure, i.e., the cumulative effect of radiation source irradiation over time. Therefore, efforts should be made to develop more comprehensive and intuitive assessment methods that comprehensively consider the complex composition of multi-band electromagnetic fields to improve the safety protection level of the increasingly complex electromagnetic environment of intelligent vehicles. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and related apparatus for assessing electromagnetic radiation from intelligent vehicles.

[0006] To achieve the above objectives, the present invention employs the following technical solution:

[0007] In a first aspect, the present invention provides a method for assessing electromagnetic radiation from intelligent vehicles, comprising: acquiring electromagnetic index values ​​of each monitoring point within the intelligent vehicle under each radiation source, and obtaining a comprehensive electromagnetic index value of each monitoring point in each frequency band based on the electromagnetic index values ​​of each monitoring point under each radiation source; wherein the electromagnetic index values ​​include electric field strength, magnetic field strength, and energy flux density; and obtaining the electromagnetic tolerance time of each monitoring point based on the comprehensive electromagnetic index values ​​of each monitoring point in each frequency band, combined with the safety limits of the electromagnetic index values ​​in each frequency band, and based on electromagnetic safety constraints.

[0008] Optionally, obtaining the electromagnetic index values ​​of each monitoring point inside the intelligent vehicle under each radiation source includes: obtaining the electromagnetic index values ​​of each monitoring point inside the intelligent vehicle under each radiation source by means of actual testing or simulation numerical calculation.

[0009] Optionally, obtaining the comprehensive electromagnetic index value of each monitoring point in each frequency band based on the electromagnetic index values ​​of each monitoring point under each radiation source includes: obtaining the comprehensive electromagnetic index value of each monitoring point in each frequency band using the following formula:

[0010]

[0011] Among them, Π i Π represents the electromagnetic index value of the current monitoring point under the i-th radiation source in the current frequency band. net This represents the comprehensive electromagnetic index value of the current monitoring point in the current frequency band, and n represents the number of radiation sources at the current monitoring point in the current frequency band.

[0012] Optionally, the electromagnetic safety constraint is:

[0013]

[0014] Among them, E net,j H represents the combined electric field strength of the j-th frequency band. net,l S represents the combined magnetic field strength of the l-th frequency band. net,k Let represent the combined energy flux density of the k-th frequency band, m represent the number of frequency bands for the electric field, p represent the number of frequency bands for the magnetic field, s represent the number of frequency bands for the energy flux density, and E represent the total energy flux density. lim,j H represents the electric field safety limit for the j-th frequency band. lim,l S represents the magnetic field safety limit for the l-th frequency band. lim,k This represents the safety limit for energy flow density in the k-th frequency band.

[0015] Optionally, the step of obtaining the electromagnetic tolerance time of each monitoring point based on the comprehensive electromagnetic index value of each monitoring point in each frequency band, combined with the electromagnetic index value safety limit of each frequency band, and based on electromagnetic safety constraints, includes:

[0016] The electromagnetic tolerance time at each monitoring point is obtained using the following formula:

[0017]

[0018] in, This represents the electric field exposure energy limit for the j-th frequency band. Ψ represents the magnetic field exposure energy limit for the l-th frequency band. Slim,k =24·S lim,k This represents the energy flux density exposure energy limit for the k-th frequency band.

[0019] Optionally, it also includes: obtaining the electromagnetic tolerance time distribution matrix of the intelligent vehicle based on the maximum electromagnetic tolerance time of each monitoring point, and drawing a hazard distribution map and visualizing it based on the electromagnetic tolerance time distribution matrix of the intelligent vehicle.

[0020] Optionally, after drawing the hazard distribution map, the method further includes: interpolating the hazard distribution map to obtain an interpolated hazard distribution map and displaying it visually.

[0021] In a second aspect, the present invention provides an electromagnetic radiation assessment system for intelligent vehicles, comprising: a data acquisition module for acquiring electromagnetic index values ​​of each monitoring point within the intelligent vehicle under various radiation sources, and obtaining comprehensive electromagnetic index values ​​of each monitoring point in each frequency band based on the electromagnetic index values ​​of each monitoring point under various radiation sources; wherein the electromagnetic index values ​​include electric field strength, magnetic field strength, and energy flux density; and a time calculation module for obtaining the electromagnetic tolerance time of each monitoring point based on the comprehensive electromagnetic index values ​​of each monitoring point in each frequency band, combined with the safety limits of the electromagnetic index values ​​in each frequency band, and based on electromagnetic safety constraints.

[0022] In a third aspect, the present invention provides a computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method for assessing electromagnetic radiation from intelligent vehicles.

[0023] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for assessing electromagnetic radiation from intelligent vehicles.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] This invention presents a method for assessing electromagnetic radiation from intelligent vehicles. Addressing the complex electromagnetic environment of intelligent vehicles, it first determines the electromagnetic index values ​​of each monitoring point within the vehicle under various radiation sources. Then, it standardizes the electromagnetic index values ​​for the same frequency band, determining the comprehensive electromagnetic index value of the superimposed electromagnetic fields within that band. Based on this, and combining the safety limits and electromagnetic safety constraints for each frequency band, it analyzes and calculates the electromagnetic tolerance time of each monitoring point within the intelligent vehicle under complex electromagnetic conditions, achieving an accurate quantitative assessment of electromagnetic radiation from intelligent vehicles. By introducing electromagnetic tolerance time, and considering multiple radiation sources in different frequency bands within the intelligent vehicle, it comprehensively considers the factors of radiation frequency, intensity, and duration, effectively improving the comprehensiveness and accuracy of the assessment. This method can be flexibly applied to the complex electromagnetic environment of intelligent vehicles, providing a scientific basis for electromagnetic safety protection of intelligent vehicles. Attached Figure Description

[0026] Figure 1 This is a flowchart of the intelligent vehicle electromagnetic radiation assessment method according to an embodiment of the present invention.

[0027] Figure 2 This is a hazard distribution diagram under a certain example condition of an embodiment of the present invention.

[0028] Figure 3 This is a structural block diagram of an intelligent vehicle electromagnetic radiation assessment system according to an embodiment of the present invention. Detailed Implementation

[0029] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0031] The present invention will now be described in further detail with reference to the accompanying drawings:

[0032] See Figure 1 In one embodiment of the present invention, a method for assessing electromagnetic radiation of intelligent vehicles is provided, which achieves quantitative and accurate assessment of electromagnetic radiation of intelligent vehicles by introducing electromagnetic tolerance time.

[0033] Specifically, the intelligent vehicle electromagnetic radiation assessment method of the present invention includes the following steps:

[0034] S1: Obtain the electromagnetic index values ​​of each monitoring point in the intelligent vehicle under each radiation source, and obtain the comprehensive electromagnetic index values ​​of each monitoring point in each frequency band based on the electromagnetic index values ​​of each monitoring point under each radiation source; wherein, the electromagnetic index values ​​include electric field strength, magnetic field strength and energy flux density.

[0035] S2: Based on the comprehensive electromagnetic index values ​​of each monitoring point in each frequency band, combined with the safety limits of the electromagnetic index values ​​in each frequency band, and based on electromagnetic safety constraints, the electromagnetic tolerance time of each monitoring point is obtained.

[0036] This invention presents a method for assessing electromagnetic radiation from intelligent vehicles. Addressing the complex electromagnetic environment of intelligent vehicles, it first determines the electromagnetic index values ​​of each monitoring point within the vehicle under various radiation sources. Then, it standardizes the electromagnetic index values ​​for the same frequency band, determining the comprehensive electromagnetic index value of the superimposed electromagnetic fields within that band. Based on this, and combining the safety limits and electromagnetic safety constraints for each frequency band, it analyzes and calculates the electromagnetic tolerance time of each monitoring point within the intelligent vehicle under complex electromagnetic conditions, achieving an accurate quantitative assessment of electromagnetic radiation from intelligent vehicles. By introducing electromagnetic tolerance time, and considering multiple radiation sources in different frequency bands within the intelligent vehicle, it comprehensively considers the factors of radiation frequency, intensity, and duration, effectively improving the comprehensiveness and accuracy of the assessment. This method can be flexibly applied to the complex electromagnetic environment of intelligent vehicles, providing a scientific basis for electromagnetic safety protection of intelligent vehicles.

[0037] Explained, when the electromagnetic fields radiated by radiation sources inside a smart car interact with the human body, the energy of these electromagnetic fields is absorbed by the body. This energy is the cumulative effect of the electromagnetic field strength at a specific location over time. Since the operating frequencies of the radiation sources inside a smart car vary, it is necessary to combine electromagnetic exposure safety standards to determine the maximum electric or magnetic field strength of each radiation source inside the vehicle, thereby calculating the maximum electromagnetic exposure energy under a single radiation source.

[0038] Specifically, the electromagnetic exposure energy control limit for electromagnetic fields is based on a 24-hour period, meaning the electromagnetic exposure energy is accumulated over a 24-hour time unit. The electromagnetic exposure energy control limit under electromagnetic field radiation from a single radiation source is as follows:

[0039]

[0040] Among them, Π lim Ψ represents the permissible electromagnetic index value under public exposure conditions. lim This refers to the electromagnetic exposure energy control limit corresponding to the electromagnetic index value under electromagnetic field radiation from a single radiation source.

[0041] Regarding electric field strength, Ψ Elim This represents the electromagnetic exposure energy control limit for electric field strength, expressed in A / m. 2 ·h. For magnetic field strength, Ψ Hlim The electromagnetic exposure energy control limit for magnetic field strength is expressed in V / m. 2 ·h.

[0042] Further calculations can yield the electromagnetic tolerance time under the influence of a single radiation source:

[0043]

[0044] Among them, Π meas Let t represent the actual electromagnetic parameters of the current radiation source, and t be the electromagnetic tolerance time corresponding to the current electromagnetic parameters. Electromagnetic tolerance time can be expressed using either electric field strength or magnetic field strength. However, in complex electromagnetic environments, the final determination of electromagnetic tolerance time requires comprehensive consideration of electric field strength, magnetic field strength, and energy flux density.

[0045] In one possible implementation, obtaining the electromagnetic index values ​​of each monitoring point inside the intelligent vehicle under each radiation source includes: obtaining the electromagnetic index values ​​of each monitoring point inside the intelligent vehicle under each radiation source by means of actual testing or simulation numerical calculation.

[0046] Interpretive methods are employed to obtain electromagnetic index values ​​for various monitoring points within a smart car under radiation source operating conditions, through actual testing or numerical simulation. This process involves precise measurement or numerical simulation of the electromagnetic fields at different monitoring points within the smart car to accurately reflect the distribution of the electromagnetic field inside the vehicle during actual use. The energy flux density can be obtained by multiplying the electric field strength and magnetic field strength.

[0047] For example, in practical testing, a series of electromagnetic field monitoring devices, such as electric field probes and magnetic field probes, are first deployed inside the intelligent vehicle to ensure coverage of all key monitoring points. Then, the car is started and various operating conditions during actual driving are simulated, such as acceleration, deceleration, and turning. Simultaneously, various electronic devices inside the vehicle, such as the navigation system, audio system, and wireless communication devices, are activated as radiation sources. The monitoring devices record the electromagnetic index values ​​at each monitoring point under the influence of different radiation sources in real time, such as electric field strength and magnetic field strength, providing data support for subsequent analysis and evaluation.

[0048] For simulation-based numerical calculations, electromagnetic simulation software can be used to create detailed electromagnetic models of intelligent vehicles, including the vehicle body structure, interior materials, and electronic equipment layout. The model can simulate the operating states and emission characteristics of different radiation sources, such as electromagnetic interference from motors, battery charging and discharging processes, and signal transmission from electronic control units. Through simulation calculations, the electromagnetic index values ​​of each monitoring point under the influence of different radiation sources can be obtained and compared with actual test results for verification. Simulation-based numerical calculations offer advantages such as low cost, high efficiency, and good repeatability, providing strong support for the electromagnetic compatibility design and optimization of intelligent vehicles.

[0049] In one possible implementation, obtaining the comprehensive electromagnetic index value of each monitoring point in each frequency band based on the electromagnetic index values ​​of each monitoring point under each radiation source includes: obtaining the comprehensive electromagnetic index value of each monitoring point in each frequency band using the following formula:

[0050]

[0051] Among them, Π i Π represents the electromagnetic index value of the current monitoring point under the i-th radiation source in the current frequency band. net This represents the comprehensive electromagnetic index value of the current monitoring point in the current frequency band, where n represents the number of radiation sources at the current monitoring point in the current frequency band. The electromagnetic index value can be expressed as either electric field strength or magnetic field strength.

[0052] Interpretive analysis involves in-depth characteristic analysis of electromagnetic waves emitted by radiation sources, comprehensively considering the electromagnetic field distribution characteristics of different radiation sources, and superimposing them over a wide frequency band to accurately assess the field strength variation patterns and superposition effects under complex electromagnetic environments.

[0053] For example, if the amplitudes of two electromagnetic waves are A1 and A2, and their phases are respectively... and The complex amplitude is expressed as:

[0054]

[0055] in, The complex amplitude of the first electromagnetic wave. This represents the complex amplitude of the second electromagnetic wave.

[0056] Superimposing them in the same direction yields:

[0057]

[0058] in, To superimpose the complex amplitude of electromagnetic waves, It is the complex conjugate of the complex amplitude of the superimposed electromagnetic wave.

[0059] Therefore, the square of the superimposed amplitude can be expressed as:

[0060]

[0061] Because the intensity of an electromagnetic wave is proportional to the square of the electric field amplitude, when two electromagnetic waves superimpose, the intensity of the combined electromagnetic wave generally includes not only the intensities of the individual electromagnetic waves but is also affected by interference terms, and is usually not simply the sum of the intensities of the individual electromagnetic waves. Therefore, it is necessary to calculate the time-averaged intensity of the combined electromagnetic wave.

[0062]

[0063] Because the phases of electromagnetic waves radiated by different radiation sources vary independently and randomly, and each wave experiences all possible values ​​between 0 and 2π multiple times within the observation time with equal probability, that is:

[0064]

[0065] therefore:

[0066]

[0067] When multiple radiation sources radiate different electromagnetic waves, the corresponding total electromagnetic field strength can be deduced by analogy. Therefore, the superimposed electromagnetic field radiated from different sources in the same frequency band is:

[0068] In addition, Π net The following limits must be met:

[0069] Furthermore, considering the specific distribution of electromagnetic fields within intelligent vehicles and based on meeting the limit conditions, the electromagnetic exposure energy control limit for radiation sources in the same frequency band is calculated according to the comprehensive superposition effect of electromagnetic fields. The electromagnetic tolerance time under public exposure conditions is then calculated using the following formula:

[0070] In one possible implementation, the electromagnetic safety constraint is:

[0071]

[0072] Among them, E net,j H represents the combined electric field strength of the j-th frequency band. net,l S represents the combined magnetic field strength of the l-th frequency band. net,k Let represent the combined energy flux density of the k-th frequency band, m represent the number of frequency bands for the electric field, p represent the number of frequency bands for the magnetic field, s represent the number of frequency bands for the energy flux density, and E represent the total energy flux density. lim,j H represents the electric field safety limit for the j-th frequency band. lim,l S represents the magnetic field safety limit for the l-th frequency band. lim,k This represents the safety limit for energy flow density in the k-th frequency band.

[0073] Explanatoryly, when calculating the electromagnetic tolerance time of complex electromagnetic fields inside intelligent vehicles, it is necessary to consider that the electromagnetic field distribution inside intelligent vehicles is composed of the superposition of electromagnetic fields radiated from different frequency bands and different radiation sources.

[0074] The components of the complex electromagnetic field within an intelligent vehicle must meet electromagnetic safety constraints:

[0075]

[0076] In one possible implementation, the step of obtaining the electromagnetic tolerance time of each monitoring point based on the comprehensive electromagnetic index value of each monitoring point in each frequency band, combined with the electromagnetic index value safety limit of each frequency band, and based on electromagnetic safety constraints, includes: obtaining the electromagnetic tolerance time of each monitoring point using the following formula:

[0077]

[0078] in, This represents the electric field exposure energy limit for the j-th frequency band. Ψ represents the magnetic field exposure energy limit for the l-th frequency band. Slim,k =24·S lim,k This represents the energy flux density exposure energy limit for the k-th frequency band.

[0079] Explanatory, based on electromagnetic safety constraints, this paper links actual electromagnetic exposure energy with electromagnetic exposure energy control limits, thereby deriving the electromagnetic tolerance time:

[0080]

[0081] To maximize the electromagnetic tolerance time, we set the left side of the above equation to 1, making it equivalent to the expression for electromagnetic tolerance time, and obtain the following result:

[0082]

[0083] By combining the comprehensive electromagnetic index values ​​of each monitoring point in the intelligent vehicle at each frequency band and the safety limits of the electromagnetic index values ​​at each frequency band, the electromagnetic tolerance time of each monitoring point in the intelligent vehicle can be obtained by solving the above formula.

[0084] In one possible implementation, the method for assessing electromagnetic radiation from intelligent vehicles further includes: obtaining an electromagnetic tolerance time distribution matrix of the intelligent vehicle based on the maximum electromagnetic tolerance time of each monitoring point, and drawing a hazard distribution map and visualizing it based on the electromagnetic tolerance time distribution matrix of the intelligent vehicle.

[0085] Interpretive electromagnetic tolerance time distribution matrix contains the electromagnetic tolerance time of the intelligent vehicle's electromagnetic field at various locations in space. It serves as the data basis for drawing a hazard distribution map, which can be used to visually and initially draw a hazard distribution map to show the hazard level distribution of the intelligent vehicle's electromagnetic field in space.

[0086] For example, see Figure 2 Choosing appropriate data visualization tools and techniques, and based on the characteristics of the data and display requirements, can be done by using two-dimensional or three-dimensional graphics to represent the distribution of electromagnetic field hazards. For example, using color gradients to represent different electromagnetic tolerance time values, with a change in color from cool tones (such as blue) to warm tones (such as red), can visually reflect the increasing severity of electromagnetic field hazards. By observing the colors in the graphics, a preliminary assessment of the hazard distribution of electromagnetic fields in a smart car within space can be made. This helps to identify potential electromagnetic safety issues in a timely manner, providing strong support for subsequent electromagnetic compatibility design and optimization.

[0087] This method for assessing electromagnetic radiation from intelligent vehicles enables intuitive visualization analysis by drawing a hazard distribution map, facilitating the rapid identification of hazardous areas in the electromagnetic environment of intelligent vehicles.

[0088] In one possible implementation, after drawing the hazard distribution map, the method further includes: interpolating the hazard distribution map to obtain an interpolated hazard distribution map and displaying it visually.

[0089] Interpretively, since images directly plotted from the electromagnetic tolerance time distribution matrix may have low resolution and fail to clearly display details, interpolation is performed to improve image resolution and optimize visual effects, thereby more accurately presenting the changing trends of electromagnetic tolerance time inside the vehicle. Finally, by combining the extracted hazardous area map with the actual distribution of the research object, precise visualization analysis of the electromagnetic environment of intelligent vehicles is achieved.

[0090] For example, mathematical interpolation algorithms, such as linear interpolation and spline interpolation, are used to calculate the unknown values ​​between adjacent data points, thereby filling the entire data grid. This process enables the generation of more continuous and smoother hazard distribution maps based on limited measurement or computational data, to more accurately represent the spatial distribution of the electromagnetic field of intelligent vehicles.

[0091] The following are embodiments of the apparatus of the present invention, which can be used to execute embodiments of the method of the present invention. For details not disclosed in the apparatus embodiments, please refer to the embodiments of the method of the present invention.

[0092] See Figure 3 In another embodiment of the present invention, an intelligent vehicle electromagnetic radiation assessment system is provided, which can be used to implement the above-mentioned intelligent vehicle electromagnetic radiation assessment method. Specifically, the intelligent vehicle electromagnetic radiation assessment system includes a data acquisition module and a time calculation module.

[0093] The data acquisition module is used to acquire the electromagnetic index values ​​of each monitoring point in the intelligent vehicle under each radiation source, and to obtain the comprehensive electromagnetic index value of each monitoring point in each frequency band based on the electromagnetic index values ​​of each monitoring point under each radiation source. The electromagnetic index values ​​include electric field strength, magnetic field strength and energy flux density. The time calculation module is used to obtain the electromagnetic tolerance time of each monitoring point based on the comprehensive electromagnetic index values ​​of each monitoring point in each frequency band, combined with the safety limits of the electromagnetic index values ​​of each frequency band, and based on electromagnetic safety constraints.

[0094] All relevant content of each step involved in the aforementioned embodiments of the intelligent vehicle electromagnetic radiation assessment method can be referenced to the functional description of the corresponding functional module of the intelligent vehicle electromagnetic radiation assessment system in the embodiments of the present invention, and will not be repeated here.

[0095] The module division in this embodiment of the invention is illustrative and represents only one logical functional division. In actual implementation, other division methods may be used. Furthermore, the functional modules in the various embodiments of the invention can be integrated into a single processor, exist as separate physical entities, or be integrated into a single module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0096] In another embodiment of the present invention, a computer device is provided, comprising a processor and a memory. The memory stores a computer program, which includes program instructions. The processor executes the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing and control core of the terminal, suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to achieve a corresponding method flow or corresponding function. The processor described in this embodiment of the present invention can be used for the operation of an intelligent vehicle electromagnetic radiation assessment method.

[0097] In another embodiment of the present invention, a storage medium is provided, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device used to store programs and data. It is understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and extended storage media supported by the computer device. The computer-readable storage medium provides storage space that stores the operating system of the terminal. Furthermore, the storage space also stores one or more instructions suitable for loading and execution by a processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be high-speed RAM or non-volatile memory, such as at least one disk storage device. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the electromagnetic radiation assessment method for intelligent vehicles in the above embodiments.

[0098] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0099] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0100] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0101] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0102] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for assessing electromagnetic radiation from intelligent vehicles, characterized in that, include: The electromagnetic index values ​​of each monitoring point inside the intelligent vehicle under each radiation source are obtained, and the comprehensive electromagnetic index values ​​of each monitoring point in each frequency band are obtained based on the electromagnetic index values ​​of each monitoring point under each radiation source; wherein, the electromagnetic index values ​​include electric field strength, magnetic field strength and energy flux density. Based on the comprehensive electromagnetic index values ​​of each monitoring point in each frequency band, combined with the safety limits of the electromagnetic index values ​​in each frequency band, and based on electromagnetic safety constraints, the electromagnetic tolerance time of each monitoring point is obtained. The electromagnetic safety constraints are as follows: in, Indicates the first The combined electric field strength of each frequency band Indicates the first The combined magnetic field strength of each frequency band Indicates the first The combined energy flux density of each frequency band, Indicates the number of frequency bands of the electric field. Indicates the number of frequency bands of the magnetic field. The number of frequency bands representing energy flux density. Indicates the first Electric field safety limits for each frequency band, Indicates the first Magnetic field safety limits for each frequency band, Indicates the first Safety limits for energy flux density in each frequency band; The electromagnetic tolerance time for each monitoring point is obtained based on the comprehensive electromagnetic index values ​​of each monitoring point in each frequency band, combined with the safety limits of the electromagnetic index values ​​in each frequency band, and based on electromagnetic safety constraints. This includes: The electromagnetic tolerance time at each monitoring point is obtained using the following formula: in, Indicates the first Electric field exposure energy limits for each frequency band Indicates the first Magnetic field exposure energy limits for each frequency band Indicates the first Energy flux density exposure limits for each frequency band.

2. The method for evaluating electromagnetic radiation from intelligent vehicles according to claim 1, characterized in that, The process of obtaining the electromagnetic index values ​​of each monitoring point inside the intelligent vehicle under each radiation source includes: obtaining the electromagnetic index values ​​of each monitoring point inside the intelligent vehicle under each radiation source by means of actual testing or simulation numerical calculation.

3. The method for evaluating electromagnetic radiation from intelligent vehicles according to claim 1, characterized in that, The process of obtaining the comprehensive electromagnetic index value of each monitoring point in each frequency band based on the electromagnetic index values ​​of each monitoring point under each radiation source includes: obtaining the comprehensive electromagnetic index value of each monitoring point in each frequency band using the following formula: in, This indicates the current monitoring point in the current frequency band. Electromagnetic index values ​​under a single radiation source This indicates the comprehensive electromagnetic index value of the current monitoring point in the current frequency band. This indicates the number of radiation sources at the current monitoring point in the current frequency band.

4. The method for evaluating electromagnetic radiation from intelligent vehicles according to claim 1, characterized in that, Also includes: The electromagnetic tolerance time distribution matrix of the intelligent vehicle is obtained based on the maximum electromagnetic tolerance time of each monitoring point. Based on the electromagnetic tolerance time distribution matrix of the intelligent vehicle, a hazard distribution map is drawn and visualized.

5. The method for evaluating electromagnetic radiation from intelligent vehicles according to claim 4, characterized in that, After drawing the hazard distribution map, the method further includes: interpolating the hazard distribution map to obtain the interpolated hazard distribution map and displaying it visually.

6. An electromagnetic radiation assessment system for intelligent vehicles based on the electromagnetic radiation assessment method for intelligent vehicles according to claim 1, characterized in that, include: The data acquisition module is used to acquire the electromagnetic index values ​​of each monitoring point in the intelligent vehicle under each radiation source, and to obtain the comprehensive electromagnetic index values ​​of each monitoring point in each frequency band based on the electromagnetic index values ​​of each monitoring point under each radiation source; wherein, the electromagnetic index values ​​include electric field strength, magnetic field strength and energy flux density. The time calculation module is used to obtain the electromagnetic tolerance time of each monitoring point based on the comprehensive electromagnetic index value of each monitoring point in each frequency band, combined with the electromagnetic index value safety limit of each frequency band, and based on electromagnetic safety constraints.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the intelligent vehicle electromagnetic radiation assessment method as described in any one of claims 1 to 5.

8. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the electromagnetic radiation assessment method for intelligent vehicles as described in any one of claims 1 to 5.

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