TW202017405A - Method and system for sampling and converting vehicular network data which can greatly reduce the amount of data by performing differential sampling - Google Patents

Abstract

The present invention relates to a method for sampling and converting vehicular network data, which is executed by a vehicle host. The vehicle host is used to receive an original signal and select a data signal in the original signal, and create a data table according to the selected data signal. The vehicle host further determines whether there is a data signal that has not been selected in the original signal. When there is no data signal that has not been selected in the original signal, the information corresponding to the first time sequence is used as the reference, a differential sampling is performed on the information corresponding to the remaining time sequence to generate a differential data table, and then the differential data table is compressed and uploaded. The present invention greatly reduces the amount of information by performing differential sampling. In this way, the compression rate of data can be effectively improved, the amount of data can be reduced, and the delay of information transmission can be avoided. The present invention further provides a system for sampling and converting vehicular network data, comprising an automotive bus connected to a controller area network for receiving an original data; a vehicle host connected to the automotive bus for receiving the original data and selecting one of the data signals from the original signal, wherein the vehicle host creates a data table based on the selected data signal and determines whether there is a data signal that has not been selected in the original signal; a network module connected to the vehicle host, wherein the vehicle host uploads the compressed differential data table to a cloud server through the network module after compressing the differential data table; and a lidar connected to the vehicle host, wherein the original signal is a lidar signal.

Description

Vehicle network data sampling conversion method and system

The invention relates to a vehicle network data sampling conversion method and system, in particular to a vehicle network data sampling conversion method and system for improving data compression ratio.

Communication between multiple electronic devices is achieved through the mutual transmission of data. In the process of data transmission, due to the limitations of various hardware and software technologies, data can only be transmitted at a limited speed.

Therefore, in computer science and information theory, a data compression technology has been developed to achieve the purpose of transmitting more data at a limited speed. Data compression refers to the process of representing information according to a specific encoding mechanism and using less data than before encoding. To put it simply, the data volume of the original data is compressed through a specific coding mechanism, thereby reducing the data volume. A common example is the ZIP file format, which not only provides compression, but also serves as an archiving tool that can store many files into the same file.

However, with the development of technology, the amount of data is becoming larger and larger, such as high-quality digital audio and video files, and the existing data compression methods are not enough to compress the data to the extent that it can be smoothly transmitted without delay. The time will be too long, resulting in a delay in the transmission of information, so that users must wait, and wait until the data transmission is completed before they can continue to use the electronic device to perform subsequent functions.

For example, US Patent US8010704B2 discloses a compression method for in-vehicle CAN (Controller Area Network) data, which mainly encodes CAN Data, and performs grouping in byte units, and then performs subtraction for each grouping. Compression, but the previous case still has the following problems: 1. Only CAN data can be compressed, and it cannot be applied to optical radar (Light Detection And Ranging; Lidar) data compression. 2. Because the data must be grouped in bytes (Byte) and then compressed, it will increase the complexity of the processor's pre-calculation.

In view of the shortcomings of the existing data compression method that cannot be applied to optical radar data compression and complex pre-calculation, the present invention provides a vehicle network data sampling conversion method and system, which can improve the application of optical radar data and reduce the pre-calculation the complexity.

The vehicle network data sampling and conversion method includes the following steps: receiving an original signal; selecting one of the data signals from the original signal; creating a data table based on the selected data signal; judging whether there is any unprocessed original signal Selected data signal; When there is a data signal that has not been selected in the original signal, select another data signal that has not been selected from the original signal; When there is no data in the original signal that has not been selected In the signal, the information corresponding to the first time sequence is used as a reference, and differential sampling is performed on the information corresponding to the remaining time sequence to generate a difference data table, and after the difference data table is compressed, the difference data table is uploaded.

The vehicle network data sampling and conversion system includes a vehicle bus, a vehicle host and a network module.

The vehicle bus is connected to a controller area network and receives a raw data.

The vehicle-mounted host is connected to the vehicle bus to receive the original data and select one of the data signals from the original signal; wherein the vehicle-mounted host creates a data according to the selected data signal and determines whether the original signal There are also data signals that have not been selected. When there is a data signal that has not yet been selected in the original signal, the vehicle-mounted host selects another data signal that has not been selected from the original signal. When there is no data signal that has not been selected in the original signal, the vehicle-mounted host performs differential sampling on the information corresponding to the first time sequence to generate a differential data table based on the information corresponding to the first time sequence to generate a differential data table. Difference data sheet.

The network module is connected to the vehicle host, and after the vehicle host compresses the differential data table, the differential data table is uploaded to a cloud server through the network module.

Because the method and system for sampling and conversion of vehicle network data of the present invention compresses the data, the information corresponding to the first time sequence is used as a reference, differential sampling is performed on the information corresponding to the remaining time sequence, and then the difference is compressed and uploaded The data table, and the amount of information after differential sampling will be greatly reduced. In this way, it will effectively improve the data compression rate, reduce the complexity of pre-calculation, and avoid the delay of information transmission. In addition, the present invention can also be applied to optical radar data.

In the following, in conjunction with the drawings and preferred embodiments of the present invention, the technical means adopted by the present invention to achieve the intended purpose of the invention will be further described.

Referring to FIG. 1, the present invention is a vehicle network data sampling and conversion method. A first preferred embodiment of the vehicle network data sampling and conversion method includes the following steps: receiving an original signal (S101); Select one of the data signals from the original signal (S102); create a data table based on the selected data signal (S103); determine whether there is a data signal that has not been selected in the original signal (S104); when the original signal If there is a data signal that has not yet been selected, select another data signal that has not been selected from the original signal (S105); when there is no data signal that has not been selected in the original signal, the first After the information corresponding to the time series is used as a reference, after performing differential sampling on the information corresponding to the remaining time series to generate a differential data table (S106), the differential data table is compressed (S107), and the differential data table is uploaded (S108).

Since the data sampling and conversion method of the vehicle network of the present invention compresses the data, the information corresponding to the first time series is used as a reference, after performing differential sampling on the information corresponding to the remaining time series, and then compressing and uploading the differential data table The amount of information after differential sampling will be greatly reduced. In this way, the data compression rate can be effectively improved, the complexity of pre-calculation can be reduced, and the delay of information transmission can be avoided.

In the preferred embodiment, the on-vehicle network data sampling and conversion method of the present invention is mainly executed by an on-board host, which is used to compress the on-board data, increase the compression ratio of the on-board data, and increase the on-board host to upload the on-board data to the cloud server s speed. In addition, in the step of compressing the difference data table (S107), the difference data table is compressed by techniques such as Huffman coding, Arithmetic coding, Symbol coding, or Codebook coding. Data to encode the binary data of the difference data table.

，其中第一時間序對應的資訊為

，而差分取樣後的資料為

，且由於資料量

，因此經過差分取樣後的資料量將大幅減少，藉此有效提高資料的壓縮率，降低資料量，避免資訊傳送的延遲。例如原始資料為

，差分取樣後的資料為

。For example, the original data is

, Where the information corresponding to the first time sequence is

, And the data after differential sampling is

, And due to the amount of data

Therefore, the amount of data after differential sampling will be greatly reduced, thereby effectively increasing the data compression rate, reducing the amount of data, and avoiding the delay of information transmission. For example, the original data is

, The data after differential sampling is

.

Please refer to FIG. 2, a second preferred embodiment of the vehicle network data sampling conversion method is the same as the first embodiment, but in this preferred embodiment, the original signal is a controller Area network (Controller Area Network) signal. And in the step of creating the data table based on the selected data signal (S103), it further includes the following sub-steps: decoding a piece of identification information in the selected data signal (S2031); judging whether the decoded identification information has Record in an identification data table (S2032); When the decoded identification information is recorded in the identification data table, select a content data table corresponding to the decoded identification information (S2033), and select the selected The time information and content information in the data signal are stored in the selected content data table (S2034); when the decoded identification information is not recorded in the identification data table, the decoded identification information is stored in In the identification data table, a new content data table corresponding to the decoded identification information is created, and after selecting the newly created content data table (S2035), the time information and content information in the selected data signal are stored in The selected content data table (S2034).

In addition, in the preferred embodiment, when there is no data signal that has not been selected in the original signal, the information corresponding to a first time sequence is used as a reference, and differential sampling is performed on the information corresponding to the remaining time sequence to generate In the step after a differential data table (S106), a content differential data table is generated, and after the content differential data table is generated, the content differential data table is compressed (S207), and the identification data table and the content differential are uploaded Datasheet (S208).

Referring to FIG. 3, the second preferred embodiment of the vehicle network data sampling and conversion method of the present invention is executed by a vehicle network data sampling and conversion system. The vehicle network data sampling and conversion system includes a vehicle host 11, A bus 12 for vehicles and a network module 13. The vehicle-mounted host 11 is connected to a controller area network through the vehicle bus 12 to receive the controller area network signal. The in-vehicle host 11 is used to execute the in-vehicle network data sampling conversion method, and upload the differential data table to a cloud server 20 through the network module 13.

For example, please further refer to FIG. 4, the controller area network signal 400 includes a plurality of data signals 401, and each data signal includes a time information, an identification information, a length information and a content information 4011. And the content information 4011 is composed of a plurality of content information, for example, including a 0th content information, a first content information, a second content information, ..., an nth content information.

、

、

、…)與其對應的長度資訊的內容(

、

、

、…)。而該識別資訊代表的是各個該控制器區域網路中的各個控制器的識別碼，也就是供該車載主機11判斷接下來的資料是由哪一個控制器所產生的。因此，當該車載主機11判斷該識別資訊有記錄在該識別資料表500中時，即是代表該識別資訊是已經被辨識過的控制器產生的，且已經有其對應的資料被記錄起來了。接著，該車載主機11選擇該識別資訊對應的內容資料表，並將選擇的該資料訊號中的時間資訊及內容資訊儲存在選擇的該內容資料表中。When the vehicle host 11 receives the controller local area network signal and selects one of the data signals 401 from the controller local area network signal, the vehicle host 11 first decodes the identification information in the data signal 401 and determines Whether the identification information is recorded in the identification data table. As shown in FIG. 5, the identification data table 500 records the contents of each identification information (

,

,

, ...) and the corresponding length information content (

,

,

,...). The identification information represents the identification codes of each controller in each controller area network, that is, the vehicle-mounted host 11 determines which controller generated the next data. Therefore, when the vehicle-mounted host 11 judges that the identification information is recorded in the identification data table 500, it means that the identification information is generated by the controller that has been identified, and its corresponding data has been recorded. . Then, the vehicle-mounted host 11 selects the content data table corresponding to the identification information, and stores the time information and content information in the selected data signal in the selected content data table.

時，由於

已經被記錄在該識別資料表500中，因此該車載主機11便直接選擇識

對應的內容資料表，如圖6所示，

對應的該內容資料表600中已經記錄過

對應的控制器之前產生的資料，例如該時間資訊

及該內容資訊

。因此該車載主機11便可直接將這一次接收到的該資料訊號101中對應

的時間資訊

及內容資訊

儲存入該內容資料表600中。For example, when the on-board host 11 determines that the identification information is

When

Has been recorded in the identification data table 500, so the vehicle-mounted host 11 directly selects the identification

The corresponding content data table is shown in Figure 6,

The corresponding content data table 600 has been recorded

Data previously generated by the corresponding controller, such as the time information

And the content information

. Therefore, the vehicle-mounted host 11 can directly correspond to the data signal 101 received this time

Time information

And content information

It is stored in the content data table 600.

、

，並建立對應解碼後的該識別資訊的新的內容資料表600，且選擇新建立的內容資料表600後，將選擇的該資料訊號中的一時間資訊

及一內容資訊

作為第一筆資料儲存在選擇的該內容資料表600中，也就是對應

的新建立的內容資料表600。When the vehicle-mounted host 11 determines that the identification information is not recorded in the identification data table, it means that the identification information is generated by the controller that has not been identified, that is, no corresponding data has been recorded. . Therefore, the vehicle-mounted host 11 first stores the identification information and the length information in the selected data signal in the identification data table, for example

,

, And create a new content data table 600 corresponding to the decoded identification information, and after selecting the newly created content data table 600, a time information in the selected data signal will be selected

And content information

As the first piece of data stored in the selected content data table 600, that is, the corresponding

The newly created content data sheet 600.

Through the method of creating the content data tables 600 described above, the original data can be converted to a data space based on time, space, and data codes, thereby effectively reducing data disorder.

In addition, the data in the content data tables 600 are arranged in the order of time information. Because the data generated by each controller in the controller area network changes with time, such as the speed of the vehicle. The data recorded in the content data table 600 corresponds to the same controller. Therefore, the data generated by the same controller is arranged in chronological order according to the time information, and the data of each controller can be clearly recorded.

及內容資訊

，因此當對該內容資料表600執行差分取樣時，如圖7所示，是先將第一時間序對應的資料為時間資訊

及內容資訊

保留，並依序將其餘時間序的時間資訊

及內容資訊

執行差分取樣，以產生一內容差分資料表600a。Further, when the vehicle-mounted host 11 performs differential sampling, the information corresponding to the first time series can be used as a reference, and the information corresponding to the remaining time series can be differentially recorded and re-recorded, thereby effectively reducing the amount of data. When the vehicle-mounted host 11 performs differential sampling, it is performed based on the content data table 600 shown in FIG. 6. For example, the data corresponding to the first time sequence in the content data table 600 shown in FIG. 6 is time information.

And content information

Therefore, when performing differential sampling on the content data table 600, as shown in FIG. 7, the data corresponding to the first time sequence is first used as time information

And content information

Keep, and keep the time information of the rest of the time sequence

And content information

Perform differential sampling to generate a content differential data table 600a.

、

、…，而內容資訊的差分資料為：

、

、…。For example, the time difference data is:

,

,..., and the differential data of the content information is:

,

,...

Please refer to FIG. 8, a third preferred embodiment of the vehicle network data sampling conversion method is the same as the first embodiment, but in this preferred embodiment, the original signal is an optical radar ( Light Detection And Ranging) signal. And in the step of creating the data table according to the selected data signal (S103), the method further includes the following sub-steps: according to the selected data signal, a distance data table corresponding to a time information in the selected data signal is created And a reflection data table (S8031).

In addition, when there is no data signal in the original signal that has not been selected, discrete cosine transform (Discrete Cosine Transform) (S806) is performed on the distance data table and the reflection data table, and then the first The distance data table and the reflection amount data table corresponding to the time information corresponding to the time series are used as a reference, and differential sampling is performed on the distance data table and the reflection amount data table corresponding to the time information corresponding to the remaining time series (S807) to generate A distance difference data table after sampling and a reflection difference data table after sampling, and the distance difference data table after sampling and the reflection difference data table after sampling (S808), (S809) are compressed and uploaded.

Referring to FIG. 3, the third preferred embodiment of the vehicle network data sampling and conversion method of the present invention is also executed by the vehicle network data sampling and conversion system, and the vehicle network data sampling and conversion system further includes an optical Radar 15. The optical radar 15 generates the optical radar signal for the vehicle-mounted host 11 to receive, that is, the original signal is the optical radar signal generated by the optical radar 15. In this preferred embodiment, the on-board host 11 is used to perform the third preferred embodiment of the on-vehicle network data sampling conversion method, and the distance differential data table after sampling and compression is sampled through the network module 13 And the sampled difference data table is uploaded to the cloud server 20.

For example, referring to FIG. 9, the optical radar signal 900 includes a plurality of data signals 901, and each data signal includes a time information, an identification information, a length information, and a content information 9011. And the content information 9011 is composed of a plurality of direction angle content information 9012, for example, including a 0th direction angle content information, a first direction angle content information, a second direction angle content information, ..., an nth direction Corner content information, etc. And each of the direction angle content information is composed of a flag information, a direction angle information, a complex distance information and a complex reflection amount information, for example, the 0th direction angle content information includes a flag information, a 0th direction angle Information, layer 0 distance information, layer 0 reflection information, ..., m layer distance information and m layer reflection information, etc.

When the car host 11 receives the optical radar signal 900, since each content information 9011 is composed of a plurality of directional angle content information 9012, the car host 11 first selects one of the content information 9011 to process, The distance data table 1000 shown in FIG. 10 and the reflection data table 1100 shown in FIG. 11 are generated.

Taking the distance data table 1000 as an example, the content information 9001 includes a plurality of direction angle content information 9012, and each direction angle content information 9012 represents data of different direction angles, and each direction angle content information 9012 and Contains the distance information and reflection information of each layer, so a single content information 9011 can create a complete distance data table and a complete reflection data table. For example, the content information of the 0th direction angle includes the 0th layer distance information, the 1st layer distance information, ..., the mth layer distance information, and the 0th layer reflection amount information, the 1st layer reflection amount information, ..., Information about the amount of reflection in layer m.

被記錄在該距離資料表1000中，而該第0方向角內容資訊中的第15層距離資訊即是作為

被記錄在該距離資料表1000中，且該第364方向角內容資訊中的第15層距離資訊即是作為

被記錄在該距離資料表1000中。此外，由於一個內容資訊9011僅對應一個時間資訊，因此各個距離資料表1000是分別對應一個時間資訊

。Therefore, when creating the distance data table, the layer of the distance data is used as the vertical axis, and the direction angle of the distance data is used as the horizontal axis. For example, the 0th layer distance information in the 0th direction angle content information is used as

Is recorded in the distance data table 1000, and the 15th layer distance information in the content information of the 0th direction angle is used as

Is recorded in the distance data table 1000, and the 15th layer distance information in the 364th direction angle content information is used as

It is recorded in the distance data table 1000. In addition, since one piece of content information 9011 corresponds to only one piece of time information, each distance data table 1000 corresponds to one piece of time information respectively

.

The reflection data table 1100 is created in the same way as the distance data table 1000, and will not be repeated here.

When all the data signals have been selected and their corresponding distance data tables 1000 and reflection data tables 1100 are established, the vehicle-mounted host 11 also executes the distance data tables 1000 and reflection data tables 1100 respectively. Discrete cosine conversion, which transforms time-domain data into frequency-domain data.

In the preferred embodiment, the discrete cosine transformation is calculated according to the following formula:

為做為輸入的該距離資料表1000或該反射量資料表1100中的各個資料。among them

For each data in the distance data table 1000 or the reflection data table 1100 as input.

，因此N-1=15、M-1=364，而N=16、M=365，將N、M帶入公式後，即可得到轉換成頻域的距離資料表1100a的各筆資料，例如最後一筆資料

即為：

For example, please refer to FIG. 12 and FIG. 13, since the last data of the distance data table 1000 is

, So N-1=15, M-1=364, and N=16, M=365, after bringing N and M into the formula, each piece of data converted into the frequency domain distance data table 1100a, for example Last information

That is:

。In this way, each piece of data of the distance data table 1100a converted into the frequency domain can be calculated separately

.

，且各個反射量資料表1100也分別對應一個時間資訊

。Since one piece of content information 9011 corresponds to only one piece of time information, and each piece of content information 9011 can generate a distance data table 1000 and a reflection data table 1100, respectively, as shown in FIGS. 10 and 11, each distance data table 1000 is Corresponding to a time information

, And each reflection data table 1100 also corresponds to a piece of time information

.

，因此，轉換成頻域的距離資料表1000a、1000b、1000c也是分別對應一個時間資訊

。如圖13所示，而當該車載主機11執行差分取樣時，該車載主機11是以第一時間序對應的時間資訊

對應的轉換成頻域的距離資料表1000a為基準，將其餘時間序對應的時間資訊

對應的轉換成頻域的距離資料表1000b、1000c進行差分後重新記錄下來，以產生轉換成頻域的距離差分資料表1000b、1000c，藉此有效減少資料量。And because each distance data table 1000 corresponds to a time information

Therefore, the distance data tables 1000a, 1000b, and 1000c converted into the frequency domain also correspond to a piece of time information.

. As shown in FIG. 13, when the vehicle-mounted host 11 performs differential sampling, the vehicle-mounted host 11 is time information corresponding to the first time sequence

Corresponding to the distance data table 1000a converted into the frequency domain, the time information corresponding to the rest of the time series

Corresponding distance data tables 1000b and 1000c converted into frequency domain are differentially recorded and re-recorded to generate distance difference data tables 1000b and 1000c converted into frequency domain, thereby effectively reducing the amount of data.

的轉換成頻域的距離差分資料表1000b的資料

為：

、

、…。For example, the corresponding time information

The data converted into the distance difference data table 1000b in the frequency domain

for:

,

,...

In addition, when the vehicle-mounted host 11 performs differential sampling, the vehicle-mounted host 11 can further determine whether the data in the distance differential data table 1000a after the differential sampling and the data in the reflection differential data table after the differential sampling are greater than a critical value. And when the vehicle-mounted host 11 judges that the data in the distance-difference data table 1000a after differential sampling and the difference-differenced data table after differential sampling is less than a critical value, the vehicle-mounted host 11 records 0 as the critical value, thereby Further reduce the amount of data.

Since the meaning of each content information 9011 in the optical radar signal 900 is a plane scanned by light, it can accept a certain degree of distortion and will not affect subsequent use. That is to say, when the vehicle-mounted host 11 records less than the critical value as 0, a small part of the data representing the plane will be deleted, and the data less than the critical value may represent noise or some tiny objects. Therefore, when the vehicle-mounted host 11 records less than the critical value as 0, the amount of data can be further reduced without affecting the subsequent use of the data.

In summary, the present invention is mainly through differential sampling of correlation data, or representing the data on a frequency domain basis, and detailed sampling of important information is retained, so that there is no need to record or compress the original data, thereby Improve the vehicle data sampling conversion rate and reduce the amount of data.

The above is only the preferred embodiment of the present invention, and does not limit the present invention in any form. Although the present invention has been disclosed in the preferred embodiment as above, it is not intended to limit the present invention. Anyone who is familiar with this technology Personnel, within the scope of not departing from the technical solution of the present invention, when the technical contents disclosed above can be used to make some modifications or modifications to equivalent embodiments of equivalent changes, but any content that does not depart from the technical solution of the present invention, according to the present invention Technical essence Any simple modifications, equivalent changes and modifications to the above embodiments still fall within the scope of the technical solution of the present invention.

11: Car host 12: Vehicle bus 13: Network module 14: Controller area network 15: optical radar 20: Cloud server 400: Controller area network signal 401: data signal 4011: Content signal 500: Identification data sheet 600: content data sheet 600a: Content difference data table 900: optical radar signal 901: data signal 9011: Content information 9012: Direction angle content information 1000: distance data sheet 1100: Reflectance data sheet 1000a, 1000b, 1000c: distance difference data table converted into frequency domain

FIG. 1 is a schematic flowchart of a first preferred embodiment of a method for sampling and converting vehicle network data according to the present invention. FIG. 2 is a schematic flowchart of a second preferred embodiment of a method for sampling and converting vehicle network data according to the present invention. FIG. 3 is a block diagram of the vehicle network data sampling and conversion system of the present invention. FIG. 4 is a schematic diagram of the format of the controller area network signal and content information of the second preferred embodiment of the vehicle network data sampling conversion method of the present invention. FIG. 5 is a schematic diagram of the format of the identification data table of the second preferred embodiment of the vehicle network data sampling conversion method of the present invention. FIG. 6 is a format diagram of a content data table of the second preferred embodiment of the vehicle network data sampling and conversion method of the present invention. FIG. 7 is a format diagram of a content differential data table of the second preferred embodiment of the vehicle network data sampling conversion method of the present invention. FIG. 8 is a schematic flowchart of a third preferred embodiment of a method for sampling and converting vehicle network data according to the present invention. 9 is a schematic diagram of the format of the optical radar signal, content information and direction angle content information of the third preferred embodiment of the vehicle network data sampling conversion method of the present invention. 10 is a schematic diagram of a format of a distance data table of a third preferred embodiment of a method for sampling and converting vehicle network data according to the present invention. FIG. 11 is a schematic diagram of a reflection data table format of the third preferred embodiment of the vehicle network data sampling conversion method of the present invention. 12 is a schematic diagram of a format of a distance data table in the third preferred embodiment of the method for sampling and conversion of vehicle network data according to the present invention. 13 is a schematic diagram of the format of a distance difference data table after discrete cosine conversion according to the third preferred embodiment of the vehicle network data sampling conversion method of the present invention.

Claims (14)

A vehicle network data sampling conversion method, including the following steps: receiving an original signal; selecting one of the data signals from the original signal; creating a data table based on the selected data signal; judging whether the original signal has not yet been Selected data signal; When there is a data signal that has not been selected in the original signal, select another data signal that has not been selected from the original signal; When there is no unselected data signal in the original signal In the case of the data signal, based on the information corresponding to a first time series, performing differential sampling on the information corresponding to the remaining time series to generate a differential data table, compressing the differential data table, and uploading the differential data table. The method for sampling and converting vehicle network data according to claim 1, wherein the original signal is a controller area network signal. The method for sampling and converting vehicle network data according to claim 2, wherein the step of creating the data table according to the selected data signal further includes the following sub-steps: decoding an identification information in the selected data signal; Determine whether the decoded identification information is recorded in an identification data table; when the decoded identification information is recorded in the identification data table, select a content data table corresponding to the decoded identification information, and The time information and the content information in the selected data signal are stored in the selected content data table. The method for sampling and converting vehicle network data according to claim 3, wherein the step of creating the data table according to the selected data signal further includes the following sub-steps: When the decoded identification information is not recorded in the identification In the data table, the decoded identification information is stored in the identification data table, and a new content data table corresponding to the decoded identification information is created, and after the newly created content data table is selected, the selected The time information and the content information in the data signal are stored in the selected content data table. The method for sampling and converting vehicle network data according to claim 1, wherein the original signal is an optical radar signal. The on-vehicle network data sampling and conversion method as described in claim 5, wherein the step of creating the data table according to the selected data signal further includes the following sub-steps: according to the selected data signal, creating the corresponding selected A distance data table and a reflection data table of time information in the data signal. The method for sampling and conversion of vehicle network data according to claim 6, wherein when there is no data signal that has not been selected in the original signal, discrete cosine conversion is first performed on the distance data table and the reflection data table, Then, based on the distance data table and the reflection data table corresponding to the time information corresponding to the first time series, the distance data table and the reflection data table corresponding to the time information corresponding to the remaining time series are differentially sampled To generate a sampled distance difference data table and a sampled reflection difference data table, and compress and upload the sampled distance difference data table and the sampled reflection difference data table. An on-vehicle network data sampling and conversion system, including: a bus for vehicle connected to a controller area network to receive a raw data; an on-board host connected to the bus for vehicle to receive the raw data, And select one of the data signals from the original signal; wherein the vehicle-mounted host creates a data according to the selected data signal, and judges whether there is a data signal that has not been selected in the original signal; When there is a data signal that has not been selected, the car host selects another data signal that has not been selected from the original signals; when there is no data signal that has not been selected in the original signal, the car host The information corresponding to the first time series is used as a reference. After performing differential sampling on the information corresponding to the remaining time series to generate a differential data table, the differential data table is compressed; a network module is connected to the vehicle host; wherein the vehicle host After compressing the differential data table, upload the differential data table to a cloud server through the network module. The in-vehicle network data sampling and conversion system as described in claim 8, wherein the original signal is a controller area network signal. The in-vehicle network data sampling and conversion system as described in claim 9, wherein when the in-vehicle host creates the data table based on the selected data signal, the in-vehicle host further decodes an identification information in the selected data signal and determines Whether the decoded identification information is recorded in an identification data table; wherein when the decoded identification information is recorded in the identification data table, the vehicle-mounted host selects a content data table corresponding to the decoded identification information And store the time information and content information in the selected data signal in the selected content data table. The in-vehicle network data sampling and conversion system as described in claim 10, wherein when the in-vehicle host creates the data table according to the selected data signal, the in-vehicle host further does not record the decoded identification information in the identification data In the table, the vehicle-mounted host stores the decoded identification information in the identification data table, and creates a new content data table corresponding to the decoded identification information, and after selecting the newly created content data table, select The time information and the content information in the data signal of are stored in the selected content data table. The vehicle network data sampling and conversion system according to claim 8, further comprising an optical radar connected to the vehicle-mounted host; wherein the original signal is an optical radar signal generated by the optical radar. The in-vehicle network data sampling and conversion system according to claim 12, wherein when the in-vehicle host creates the data table based on the selected data signal, the in-vehicle host further creates the corresponding selected data signal according to the selected data signal A distance data table and a reflection data table of time information in. The in-vehicle network data sampling and conversion system as described in claim 13, wherein when there is no data signal that has not been selected in the original signal, the in-vehicle host first performs discrete processing on the distance data table and the reflection data table respectively Cosine conversion, and then based on the distance data table and the reflection data table corresponding to the time information corresponding to the first time sequence, the distance data table and the reflection data table corresponding to the time information corresponding to the remaining time sequence Perform differential sampling to generate a distance difference data table after sampling and a reflection difference data table after sampling, and after compressing the distance difference data table after sampling and the reflection difference data table after sampling, pass the network The road module uploads the distance difference data table and the sampled reflection difference data table to the cloud server.

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