CN115203216B - Geographic information data classification grading and protecting method and system for automatic driving map online updating scene - Google Patents
Geographic information data classification grading and protecting method and system for automatic driving map online updating scene Download PDFInfo
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Abstract
The invention provides a geographic information data classification grading and protecting method and a system for an online updating scene of an automatic driving map, wherein the method comprises the following steps of A, classifying the geographic information data for the online updating scene of the automatic driving map; B. grading geographic information data facing an online updating scene of an automatic driving map; C. and protecting geographic information data facing to an online updating scene of an automatic driving map. The advantages are that: the method fully considers the online scene updating service requirement of the automatic driving map and the data type and application characteristics related to geographic information, forms a data classification, classification and corresponding protection method meeting the relevant standard and specification requirements in the mapping field, solves the potential safety risk hazards in the data ownership, data application, data management and multi-field cross fusion processes, supports the reasonable planning, reasonable control and fine management of relevant departments on the geographic information data, promotes the safe application of the automatic driving map, and promotes the healthy and ordered development of the automatic driving industry.
Description
Technical Field
The invention relates to the technical field of geographic information safety and automatic driving, in particular to a geographic information data classification grading and protecting method and system for an automatic driving map online updating scene.
Background
Compared with the traditional navigation electronic map, the automatic driving map contains spatial position geographic coordinates, can be combined with a spatial positioning system, sensing equipment and other related devices, enables the automatic driving vehicle to understand the geographic information data set of the real environment in a humanized manner, and plays an important role in sensing, positioning, decision-making, planning and other modules of the automatic driving vehicle.
Therefore, in order to effectively solve the current dilemma of the geographic information data level in the automatic driving map application scene, a geographic information data classification and protection method is established for the automatic driving map online updating and service issuing scene from the perspective of geographic information safety, so that the potential safety risk hazard caused by inconsistent understanding of the data level in various industry fields is eliminated, and the safety compliance application of the domestic automatic driving map is promoted.
Disclosure of Invention
The invention aims to provide a geographic information data classification, classification and protection method and a system for an automatic driving map online updating scene, so as to solve the problems in the prior art.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a geographic information data classification grading and protection method for an automatic driving map online updating scene comprises the following steps: including the following in-eluding matters that,
A. classifying geographic information data facing an online updating scene of an automatic driving map;
dividing geographic information data oriented to an online updating scene of the automatic driving map according to a major category, a middle category and a minor category according to basic characteristics and business application modes of the automatic driving map and related data; wherein, the major category is subdivided into sensor data and product data; the middle class is subdivided into vehicle cloud uploading data and cloud vehicle issuing data; the subclass is subdivided into space position direct correlation data and space position indirect correlation data;
B. grading geographic information data facing an online updating scene of an automatic driving map;
classifying the classified geographic information data under the automatic driving-oriented map online updating scene according to the influence objects and influence ranges after the data importance degree and the safety attributes thereof are damaged, so as to divide the classified geographic information data under the automatic driving-oriented map online updating scene into confidential level data, sensitive level data and public level data;
C. protecting geographic information data facing an online updating scene of an automatic driving map;
and respectively performing data protection on geographic information data under the scene of online updating of the automatic driving map on a data level and a channel level based on the grading classification result.
Preferably, the geographic information data in the automatic driving map-oriented online updating scene comprises track data, photo data, point cloud data and map data; the data are divided according to the classification mode in A, the result of the division of the large class is that,
the sensor class data includes: trajectory data, photo data, and point cloud data;
the product class data includes: map data;
the result of the classification of the middle class is,
the vehicle cloud uploading data comprises: trajectory data, photo data, and point cloud data;
the cloud vehicle issuing data comprises the following steps: map data;
the result of the classification of the subclasses is,
spatial position directly related data includes: trajectory data and map data;
the spatial position indirect correlation data includes: photo data and point cloud data.
Preferably, the classified geographic information data in the scene facing the automatic driving map online updating are classified according to the classification mode in the B, and the classification result is that,
the track data belongs to sensor data, vehicle cloud uploading data and space position directly related data, and the data level is classified into secret;
the photo data and the point cloud data belong to sensor data, vehicle cloud uploading data and space position indirect related data, and the data level is sensitive;
the map data belongs to product data, cloud vehicle issued data and space position directly related data, and the data level is public.
Preferably, the data protection in C is,
the track data is subjected to data protection on a data layer by adopting a space position processing and commercial password protection means; data protection is carried out on the channel level by means of commercial password protection;
the photo data is subjected to data protection on a data layer by adopting an attribute desensitization treatment and commercial password protection means; data protection is carried out on the channel level by means of commercial password protection;
the point cloud data is subjected to data protection on a data level and a channel level by means of commercial password protection;
the public data only needs to adopt a commercial password protection means for data protection at a channel level.
Preferably, the spatial position processing is to perform data conversion between the WGS84 system and the GCJ02 system on the coordinate values of the trajectory data including the absolute spatial coordinate information;
specifically, coordinate position point information containing longitude, latitude and altitude numerical values and current cycle number and time parameters of the vehicle GNSS positioning device are used as input, data processing is carried out through a secret processing plug-in unit embedded in a vehicle control system in the field of mapping geographic information, and the longitude, latitude and altitude numerical values meeting the space precision requirement are output, so that data conversion from a WGS84 system to a GCJ02 system is completed; and the safety of the geographic information in the aspect of spatial precision is further guaranteed, and the service requirements in the aspects of social application including lane-level navigation positioning, route planning and map matching are met.
Preferably, the attribute desensitization treatment is to adopt automatic treatment including replacement and/or filtering and/or encryption and/or shading and/or deletion aiming at sensitive information related to military facilities, public safety and national economic life lines in the sensor data of JPEG format photos and PCAP format point clouds;
anonymization and de-identification processing are adopted for data which relate to personal information and personal privacy and are used for drivers, pedestrians and license plates in a road environment in an intelligent automobile terminal;
aiming at product class data containing sensitive POI and semantic identification, the product class data comprises semantic information or name identification related to military restricted areas, departments, prisons, electric power, communication facilities and important strategic material reserve libraries, a sensitive geographic information word library tool is used for carrying out automatic screening and manual rejection, and a related technical examination center in the surveying and mapping geographic information field is used for carrying out examination and reading; and then the desensitization processing of the geographic information data before the map product is manufactured and released is realized, the safety of the geographic information in the aspect of attribute content is guaranteed, and the service requirements in the aspect of social application including automatic driving perception fusion, algorithm training and driving decision are met.
Preferably, the commercial password protection specifically includes that the data layer and the related transmission channel layer of the sensor data and the product data after the spatial position processing and the attribute desensitization processing are processed by means of encryption and decryption, signature verification and identity authentication protection based on the commercial password technology; and confidentiality, authenticity and integrity of geographic information data among an intelligent automobile terminal, a map special cloud end and two ends under an automatic driving map online updating scene are further guaranteed, non-repudiation of related business links under the scene is guaranteed, and business requirements in social application aspects including Internet of vehicles V2N, map online updating and service issuing are met.
Preferably, after the geographic information data of the online updating scene facing the automatic driving map is classified and graded, the classification grading result is induced to form a classification grading and protection directory.
The invention also aims to provide a geographic information data classification, grading and protection system for an automatic driving map online updating scene, which is used for realizing the method, and the system comprises,
a data classification unit; the automatic driving map online updating system is used for classifying geographic information data facing an automatic driving map online updating scene;
a data classification unit; the system is used for grading geographic information data facing an automatic driving map online updating scene;
a data protection unit; the method is used for protecting geographic information data facing the automatic driving map online updating scene.
The invention has the beneficial effects that: the method fully considers the online scene updating service requirement of the automatic driving map and the data type and application characteristics related to the geographic information, forms a data classification, classification and corresponding protection method meeting the relevant standard and specification requirements in the surveying and mapping field, solves the potential safety risk hazard in the data ownership, data application, data management and multi-field cross fusion processes, supports the reasonable planning, reasonable control and refined management of related departments on the geographic information data, promotes the safe application of the automatic driving map, and promotes the healthy and orderly development of the automatic driving industry.
Drawings
FIG. 1 is a schematic flow chart of a method in an embodiment of the invention;
FIG. 2 is a diagram of a classification hierarchy and protection directory according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, in this embodiment, a geographic information data classification, classification and protection method for an online update scene of an automatic driving map is provided, where: the method comprises the following three parts:
1. classifying geographic information data facing an online updating scene of an automatic driving map;
dividing geographic information data oriented to an online updating scene of the automatic driving map according to a major category, a middle category and a minor category according to basic characteristics and business application modes of the automatic driving map and related data; wherein, the large class is subdivided into sensor class data and product class data; the middle class is subdivided into vehicle cloud uploading data and cloud vehicle issuing data; the subclass is subdivided into spatial position direct correlation data and spatial position indirect correlation data.
1.1, the geographic information data in the scene of the online updating of the automatic driving-oriented map comprises
a. Track data: the data belongs to sensor type data containing geographic information, and is applied to an on-line updating scene of an automatic driving map in a mode of instant use and sale at an intelligent automobile end or instant acquisition and transmission or triggered transmission from the intelligent automobile end to a map special cloud end, the plane precision of the data is better than (including) 10 meters, and a continuous path road section (the coverage range can exceed 25 km) 2 ) The spatial correlation information is contained, and spatial absolute position information is contained.
b. Photograph data: the data belongs to sensor type data containing geographic information, scenes are updated on line in an automatic driving map, the application mode of the data is that the data is sold as soon as an intelligent automobile end is used, or the data is transmitted or triggered from the intelligent automobile end to a map special cloud end, the data contains massive semantic information (such as roads, people, vehicles, buildings and the like) of the external environment, which is acquired by external sensors such as cameras and the like, and although the data does not contain spatial positions, the data can be combined with track data and the like containing spatial absolute position information (such as scene reconstruction).
c. Point cloud data: the data belongs to sensor type data containing geographic information, scenes are updated on line in an automatic driving map, the application mode of the data is that the data is sold as soon as an intelligent automobile end is used, or the data is transmitted from the intelligent automobile end to a map special cloud end as soon as the data is collected or triggered, massive point information (such as roads, people, vehicles, buildings and the like) of the external environment, which is acquired by an external sensor such as a laser point cloud and the like, contains space relative position information, and can be combined with track data and the like containing space absolute position information for application (such as scene reconstruction).
d. Map data: the data belongs to product type data containing geographic information, and is generally applied in an incremental or full-scale updating and issuing from a map special cloud end to an intelligent automobile end in an automatic driving map online updating scene, such as an advanced driving assistance map, a high-precision map and the like, and the data is required to be subjected to designated map confidentiality processing and map verification and filing before specific business application.
1.2, dividing the data according to the classification mode in A;
a. the result of the classification of the large class is,
the sensor class data includes: trajectory data, photo data, and point cloud data;
the product class data includes: map data;
b. the result of the classification of the middle class is,
the vehicle cloud uploading data comprises: trajectory data, photo data, and point cloud data;
the cloud vehicle issuing data comprises the following steps: map data;
c. the result of the classification of the subclasses is,
spatial position directly related data includes: trajectory data and map data;
the spatial position indirect correlation data includes: photo data and point cloud data.
2. Grading geographic information data facing an online updating scene of an automatic driving map;
and classifying the classified geographic information data under the automatic driving-oriented map online updating scene according to the influence objects and influence ranges after the data importance degree and the safety attributes thereof are damaged, so as to divide the classified geographic information data under the automatic driving-oriented map online updating scene into confidential level data, sensitive level data and public level data. The result of the classification is that,
2.1, the track data belong to sensor data, vehicle cloud uploading data and space position directly related data, and the data level is classified into secret;
2.2, the photo data and the point cloud data belong to sensor data, vehicle cloud uploading data and space position indirect related data, and the data level is sensitive;
and 2.3, the map data belong to product data, cloud vehicle issued data and space position directly related data, and the data level is public.
3. Protecting geographic information data facing an online updating scene of an automatic driving map;
and respectively performing data protection on geographic information data under the scene of online updating of the automatic driving map on a data level and a channel level based on the grading classification result. The data protection is, in particular,
3.1, data protection is carried out on the track data on a data layer by adopting a space position processing and commercial password protection means; data protection is carried out on the channel level by means of commercial password protection;
3.2, data protection is carried out on the photo data in a data layer by adopting an attribute desensitization treatment and commercial password protection means; data protection is carried out on the channel level by adopting a commercial password protection means;
3.3, performing data protection on the point cloud data at the data level and the channel level by adopting a commercial password protection means;
and 3.4, the public data only needs to be protected by a commercial password protection means at the channel level.
a. The spatial position processing is to perform data conversion from a WGS84 system to a GCJ02 system on the coordinate values of the track data containing absolute spatial coordinate information;
specifically, coordinate position point information containing longitude, latitude and altitude numerical values and current cycle number and time parameters of the vehicle GNSS positioning device are used as input, data processing is carried out through a secret processing plug-in unit embedded in a vehicle control system in the field of mapping geographic information, and the longitude, latitude and altitude numerical values meeting the space precision requirement are output, so that data conversion from a WGS84 system to a GCJ02 system is completed; and the safety of the geographic information in the aspect of spatial precision is further guaranteed, and the service requirements in the aspects of social application including lane-level navigation positioning, route planning and map matching are met.
b. The attribute desensitization treatment is that aiming at sensitive information related to military facilities, public safety and national economy life lines in sensor data of pictures in formats such as JPEG (joint photographic experts group) and the like and point clouds in formats such as PCAP (personal computer application program), automatic treatment including replacement and/or filtration and/or encryption and/or shielding and/or deletion is adopted;
anonymization and de-identification processing are adopted for data which relate to personal information and personal privacy and are used for drivers, pedestrians and license plates in a road environment in an intelligent automobile terminal;
aiming at product class data containing sensitive POI and semantic identification, the product class data comprises semantic information or name identification related to military restricted areas, departments, prisons, electric power, communication facilities and important strategic material reserve libraries, a sensitive geographic information word library tool is used for carrying out automatic screening and manual rejection, and a related technical examination center in the surveying and mapping geographic information field is used for carrying out examination and reading; and then the desensitization processing of the geographic information data before the map product is manufactured and released is realized, the safety of the geographic information in the aspect of attribute content is guaranteed, and the service requirements in the aspect of social application including automatic driving perception fusion, algorithm training and driving decision are met.
c. The commercial password protection specifically comprises the steps that the data layers of the sensor data and the product data after the spatial position processing and the attribute desensitization processing and the related transmission channel layers are processed by means of encryption and decryption, signature verification and identity authentication protection based on the commercial password technology; and confidentiality, authenticity and integrity of geographic information data among an intelligent automobile terminal, a map special cloud end and two ends under an automatic driving map online updating scene are further guaranteed, non-repudiation of related business links under the scene is guaranteed, and business requirements in social application aspects including Internet of vehicles V2N, map online updating and service issuing are met.
Referring to fig. 2, in the present embodiment, after classifying and grading geographic information data of an online updating scene of an automatic driving map, classifying and grading results are summarized to form a classification and grading and protection directory.
In this embodiment, a geographic information data classification, classification and protection system for an online update scene of an automatic driving map is provided, and the system is used for implementing the method, and comprises,
a data classification unit; the automatic driving map online updating system is used for classifying geographic information data facing an automatic driving map online updating scene;
a data classification unit; the system is used for grading geographic information data facing an automatic driving map online updating scene;
a data protection unit; the method is used for protecting geographic information data facing the automatic driving map online updating scene.
By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained:
the invention provides a geographic information data classification, classification and protection method and a system for an online updating scene of an automatic driving map, which fully consider the service requirement of the online updating scene of the automatic driving map and the data type and application characteristics related to geographic information, form a data classification, classification and corresponding protection method meeting the relevant standard and specification requirements in the mapping field, solve the potential safety risk hazard in the processes of data ownership, data application, data management and multi-field cross fusion, support the reasonable planning, reasonable control and refined management of relevant departments on geographic information data, promote the safe application of the automatic driving map, and promote the healthy and orderly development of the automatic driving industry.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and improvements can be made without departing from the principle of the present invention, and such modifications and improvements should also be considered within the scope of the present invention.
Claims (6)
1. A geographic information data classification grading and protection method for an automatic driving map online updating scene is characterized in that: including the following aspects in that,
A. classifying geographic information data facing an online updating scene of an automatic driving map;
dividing geographic information data oriented to an online updating scene of the automatic driving map according to a major category, a middle category and a minor category according to basic characteristics and business application modes of the automatic driving map and related data; wherein, the major category is subdivided into sensor data and product data; the middle class is subdivided into vehicle cloud uploading data and cloud vehicle issuing data; the subclass is subdivided into space position direct correlation data and space position indirect correlation data;
B. grading geographic information data facing an online updating scene of an automatic driving map;
classifying the classified geographic information data under the automatic driving-oriented map online updating scene according to the influence objects and influence ranges after the data importance degree and the safety attributes thereof are damaged, so as to divide the classified geographic information data under the automatic driving-oriented map online updating scene into confidential level data, sensitive level data and public level data;
C. protecting geographic information data facing an online updating scene of an automatic driving map;
respectively performing data protection on geographic information data under the scene of online updating of the automatic driving map on a data level and a channel level based on the grading classification result;
the geographic information data under the scene of the automatic driving map-oriented online updating comprises track data, photo data, point cloud data and map data; these data are divided according to the classification in a,
the result of the classification of the large class is,
the sensor class data includes: trajectory data, photo data, and point cloud data;
the product class data includes: map data;
the result of the classification of the middle class is,
the vehicle cloud uploading data comprises: trajectory data, photo data, and point cloud data;
the cloud vehicle issuing data comprises the following steps: map data;
the result of the classification of the subclasses is,
spatial position directly related data includes: trajectory data and map data;
the spatial position indirect correlation data includes: photo data and point cloud data;
grading the classified geographic information data in the scene facing the online updating of the automatic driving map according to the grading mode in the step B, wherein the grading result is as follows,
the track data belongs to sensor data, vehicle cloud uploading data and space position directly related data, and the data level is classified into secret;
the photo data and the point cloud data belong to sensor data, vehicle cloud uploading data and space position indirect related data, and the data level is sensitive;
the map data belong to product data, cloud vehicle issued data and space position directly related data, and the data level is public;
the data protection in C is specifically that,
the track data is subjected to data protection on a data layer by adopting a space position processing and commercial password protection means; data protection is carried out on the channel level by means of commercial password protection;
the data protection is carried out on the photo data at a data level by adopting an attribute desensitization treatment and commercial password protection means; data protection is carried out on the channel level by means of commercial password protection;
the point cloud data is subjected to data protection on a data level and a channel level by means of commercial password protection;
the public data only needs to adopt a commercial password protection means at the channel level for data protection.
2. The geographic information data classification, classification and protection method for the automatic driving map online updating scene according to claim 1, characterized in that: the spatial position processing is to perform data conversion from a WGS84 system to a GCJ02 system on the coordinate values of the track data containing absolute spatial coordinate information;
specifically, coordinate position point information containing longitude, latitude and altitude numerical values and current cycle number and time parameters of the vehicle GNSS positioning device are used as input, data processing is carried out through a secret processing plug-in unit embedded in a vehicle control system in the field of mapping geographic information, and the longitude, latitude and altitude numerical values meeting the space precision requirement are output, so that data conversion from a WGS84 system to a GCJ02 system is completed; and the safety of the geographic information in the aspect of spatial precision is further guaranteed, and the service requirements in the aspects of social application including lane-level navigation positioning, route planning and map matching are met.
3. The geographic information data classification, classification and protection method for the automatic driving map online updating scene according to claim 1, characterized in that: the attribute desensitization treatment is that aiming at sensitive information related to military facilities, public safety and national economic life lines in sensor data of JPEG format photos and PCAP format point clouds, automatic treatment including replacement and/or filtering and/or encryption and/or shielding and/or deletion is adopted;
anonymization and de-identification processing are adopted for data which relate to personal information and personal privacy and are used for drivers, pedestrians and license plates in a road environment in an intelligent automobile terminal;
aiming at product class data containing sensitive POI and semantic identification, the product class data comprises semantic information or name identification related to military restricted areas, departments, prisons, electric power, communication facilities and important strategic material reserve libraries, a sensitive geographic information word library tool is used for carrying out automatic screening and manual rejection, and a related technical examination center in the surveying and mapping geographic information field is used for carrying out examination and reading; and then the desensitization processing of the geographic information data before the map product is manufactured and released is realized, the safety of the geographic information in the aspect of attribute content is guaranteed, and the service requirements in the aspect of social application including automatic driving perception fusion, algorithm training and driving decision are met.
4. The geographic information data classification, classification and protection method for the automatic driving map online updating scene according to claim 1, characterized in that: the commercial password protection is specifically that the data layer and the related transmission channel layer of the sensor data and the product data after the spatial position processing and the attribute desensitization processing are processed by means of encryption and decryption, signature verification and identity authentication protection based on the commercial password technology; and confidentiality, authenticity and integrity of geographic information data among an intelligent automobile terminal, a map special cloud end and two ends under an automatic driving map online updating scene are further guaranteed, non-repudiation of related business links under the scene is guaranteed, and business requirements in social application aspects including Internet of vehicles V2N, map online updating and service issuing are met.
5. The geographic information data classification, classification and protection method for the automatic driving map online updating scene according to claim 1, characterized in that: after the geographic information data of the scene updated on line towards the automatic driving map is classified and graded, classifying and grading results are summarized to form a classifying and grading and protection catalogue.
6. A geographic information data classification, grading and protection system for an automatic driving map online update scene, the system being used for implementing the method of any one of the preceding claims 1 to 5, the system comprising,
a data classification unit; the automatic driving map online updating system is used for classifying geographic information data facing an automatic driving map online updating scene;
a data classification unit; the system is used for grading geographic information data facing an automatic driving map online updating scene;
a data protection unit; the method is used for protecting geographic information data facing the automatic driving map online updating scene.
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