Automatic driving automobile operation enterprise management risk assessment system and method

Abstract

The invention provides an automatic driving automobile operation enterprise management risk assessment system and method, and relates to the technical field of automatic driving, and the system comprises an information input module, an information processing module, an information display module, and an information feedback and updating module which are connected in sequence. The information input module is used for inputting operation management system information of a to-be-assessed enterprise, the information processing module is used for acquiring database information and performing risk assessment on the to-be-assessed enterprise according to the database information, the operation management system information and a risk assessment algorithm to obtain assessment data, and the information display module is used for displaying the assessment data. And the information feedback and updating module is used for updating database information and a risk assessment algorithm and feeding back and recording risk assessment rectification items. The problem that in the prior art, an enterprise cannot establish standardized safety guarantee measures, and consequently safety risks exist in operation of the automatic driving automobile is solved.

Description

Technical Field

[0001] The present invention relates to the field of autonomous driving technology, and in particular to a management risk assessment system and method for an autonomous driving vehicle operating enterprise. Background Art

[0002] As self-driving cars gradually move from testing, piloting and demonstration to commercial applications, companies need to build safety measures in the operation phase to ensure operational safety. For road transport, a production and operation activity, companies need to establish safety production rules and regulations to ensure safe production.

[0003] At present, from the perspective of the development status of the commercial application of autonomous driving industry, the operation of autonomous driving vehicles has become a key development format for transportation operations now and in the future. However, companies currently lack standardized methods and basis for establishing safety assurance measures in operations, which brings great safety risks to actual operations. Summary of the invention

[0004] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide a management risk assessment system and method for autonomous driving vehicle operating enterprises. The present invention solves the safety risk problem in the operation of autonomous driving vehicles caused by the inability of enterprises to establish standardized safety measures in the prior art.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A management risk assessment system for an autonomous vehicle operation enterprise, comprising:

[0007] An information input module, an information processing module, an information display module, an information feedback and update module connected in sequence;

[0008] The information input module is used to input the operation management system information of the enterprise to be evaluated, and the operation management system information includes: first-level title information, first-level second-level title information and first-level third-level title information. The information processing module is used to obtain database information and perform risk assessment on the enterprise to be evaluated based on the database information, the operation management system information and the risk assessment algorithm to obtain assessment data, and the assessment data includes risk assessment results, risk assessment rectification items and recommended measures. The information display module is used to display the assessment data, and the information feedback and update module is used to update the database information and provide feedback and record the risk assessment rectification items.

[0009] Preferably, the information processing module includes:

[0010] Rules layer, security measures entry layer, risk assessment layer and security measures recommendation layer;

[0011] The rule layer is used to obtain database information, the security assurance measure entry layer is used to receive the operation management system information, the risk assessment layer is used to perform risk assessment on the enterprise to be assessed based on the database information, the operation management system information and the risk assessment algorithm to obtain risk assessment results, wherein the risk assessment algorithm includes: information matching algorithm and operation management risk calculation algorithm, and the security assurance measure recommendation layer is used to obtain risk assessment rectification items and recommended measures based on the risk assessment results.

[0012] Preferably, the risk assessment layer includes:

[0013] Standard system acquisition unit, information matching unit and operation management risk calculation unit;

[0014] The standard system acquisition unit is used to form standard guarantee system information based on the database information, and the standard guarantee system information includes: second-level title information, second-level title information and second-level title information. The matching unit is used to compare the standard guarantee system information with the operation management system information to obtain risk results, and the risk results include: first comparison results, second comparison results and third comparison results. The operation management risk calculation unit is used to classify the risk results to obtain risk assessment results.

[0015] Preferably, the information matching unit includes:

[0016] a first matching subunit, a second matching subunit and a third matching subunit;

[0017] The first matching subunit is used to compare the first first-level title information with the second first-level title information to obtain a first comparison result, the second matching subunit is used to compare the first second-level title information with the second second-level title information to obtain a second comparison result, and the third matching subunit is used to compare the first third-level title information with the second third-level title information to obtain a third comparison result.

[0018] Preferably, the operation management risk calculation unit includes:

[0019] A judgment subunit and a weighting unit;

[0020] The judgment subunit is used to judge the number and position of title missings of the first comparison result, the second comparison result and the third comparison result to obtain a quantity judgment result and a position judgment result, and the weighting unit is used to weight the position judgment result and the quantity judgment result to obtain a risk assessment result.

[0021] A management risk assessment method for an autonomous vehicle operation enterprise, comprising:

[0022] Enter the operation and management system information of the enterprise to be evaluated, wherein the operation and management system information includes: first-level title information, first-level second-level title information and first-level third-level title information;

[0023] Obtaining database information and conducting risk assessment on the enterprise to be assessed based on the database information, the operation management system information and the risk assessment algorithm to obtain assessment data;

[0024] The information display module is used to display the assessment data, and the information feedback and update module is used to update the database information and provide feedback and record the risk assessment rectification items.

[0025] The present invention discloses the following technical effects:

[0026] The present invention provides a management risk assessment system for an autonomous driving vehicle operating enterprise, comprising: an information input module, an information processing module, an information display module, and an information feedback and update module connected in sequence; the information input module is used to input the operation management system information of the enterprise to be assessed, and the operation management system information includes: the first level title information, the first level second title information, and the first level third title information; the information processing module is used to obtain database information and conduct risk assessment on the enterprise to be assessed according to the database information, the operation management system information, and the risk assessment algorithm to obtain assessment data, and the assessment data includes risk assessment results, risk assessment rectification items, and recommended measures; the information display module is used to display the assessment data, and the information feedback and update module is used to update the database information and provide feedback and record the risk assessment rectification items. The present invention accurately assesses and displays the management system information in the existing enterprise by acquiring information in the database, and can timely adjust the existing system according to the assessment results to meet current needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0028] Figure 1 A schematic diagram of the structure of a risk assessment system for managing an autonomous vehicle operating enterprise provided by an embodiment of the present invention;

[0029] Figure 2 A schematic diagram of an application process of a risk assessment system for managing an autonomous vehicle operating enterprise provided by an embodiment of the present invention;

[0030] Figure 3 A schematic diagram of a risk assessment algorithm flow for an autonomous driving vehicle operation enterprise management provided by an embodiment of the present invention;

[0031] Figure 4 A flowchart of a method for calculating a management risk score for an autonomous vehicle operating enterprise provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0034] like Figure 1 As shown, the present invention provides a risk assessment system for managing an autonomous driving vehicle operation enterprise, comprising:

[0035] An information input module, an information processing module, an information display module, an information feedback and update module connected in sequence;

[0036] The information input module is used to input the operation management system information of the enterprise to be evaluated, and the operation management system information includes: first-level title information, first-level second-level title information and first-level third-level title information. The information processing module is used to obtain database information and perform risk assessment on the enterprise to be evaluated based on the database information, the operation management system information and the risk assessment algorithm to obtain assessment data, and the assessment data includes risk assessment results, risk assessment rectification items and recommended measures. The information display module is used to display the assessment data, and the information feedback and update module is used to update the database information and provide feedback and record the risk assessment rectification items.

[0037] Specifically, the first-level titles are the names of different types of safety assurance measures, including production safety management organizations, production safety management personnel, employee production safety responsibility system, production safety education and training and publicity management for employees, production safety operating procedures, vehicle management, dynamic monitoring management, network security management, data security management, safety risk classification management, hidden danger investigation and control, and emergency management.

[0038] The sub-headings are items included in various safety measures. According to an embodiment of the present invention, the items included in the safety production management organization include: the establishment of the safety production management organization, etc.;

[0039] The items included in the production safety management personnel include: the staffing of production safety management personnel, etc.;

[0040] The information processing module is used to receive information from the information input module, call the database information required for the risk assessment rules, embed the risk assessment algorithm, and output the risk assessment results to the information display module.

[0041] Furthermore, the information processing module includes:

[0042] Rules layer, security measures entry layer, risk assessment layer and security measures recommendation layer;

[0043] The rule layer is used to obtain database information, the security assurance measure entry layer is used to receive the operation management system information, the risk assessment layer is used to perform risk assessment on the enterprise to be assessed based on the database information, the operation management system information and the risk assessment algorithm to obtain the risk assessment result, wherein the risk assessment algorithm includes: information matching algorithm and operation management risk calculation algorithm, and the security assurance measure recommendation layer is used to obtain risk assessment rectification items and recommended measures based on the risk assessment result.

[0044] Specifically, the database information includes: legal data source database; administrative regulations data source database; departmental regulations data source database; standard specification data source database.

[0045] The security measures input layer supports direct import of text in formats such as WORD, PDF, EXCEL, SQL, etc., and supports importing text after text recognition in image formats such as JPEG and PNG.

[0046] Furthermore, the rule layer calls on database information and integrates it according to the type of enterprise to form safety measures that should be established for enterprises in different transportation formats, including safety measures for the operation of autonomous taxi enterprises, safety measures for the operation of autonomous buses, and safety measures for autonomous freight enterprises.

[0047] Furthermore, the risk assessment layer includes:

[0048] Standard system acquisition unit, information matching unit and operation management risk calculation unit;

[0049] The standard system acquisition unit is used to form standard guarantee system information based on the database information, and the standard guarantee system information includes: second-level title information, second-level title information and second-level title information. The matching unit is used to compare the standard guarantee system information with the operation management system information to obtain risk results, and the risk results include: first comparison results, second comparison results and third comparison results. The operation management risk calculation unit is used to classify the risk results to obtain risk assessment results.

[0050] Specifically, the algorithm of the risk assessment layer is as follows:

[0051] The information matching algorithm includes: comparing each level 3 title information of the operation management system information entered by the enterprise in the format with the level 3 title information in the database information one by one, and comprehensively determining whether to assign points to the level 3 title content based on the information comparison results and the mapping relationship between the level 3 title and the level 2 title.

[0052] The operation management risk calculation algorithm includes: 1. Divide the database information into three categories: first-level title information, second-level title information, and third-level title information, and construct an information mapping relationship between the first-level title information and the second-level title information, and construct an information mapping relationship between the second-level title information and the third-level title information. 2. According to the number of third-level title content items divided into the database, assign the same score to each item, and set the total score. 3. Based on the third-level title information, the scores of each second-level title are summed up and calculated according to the mapping association relationship between the second-level title information and the third-level title information; the scores of each first-level title are summed up and calculated according to the mapping association relationship between the first-level title information and the second-level title information.

[0053] The risk assessment results of the enterprise operation management system include: low risk; general risk; greater risk; major risk.

[0054] Furthermore, the information matching unit includes:

[0055] a first matching subunit, a second matching subunit and a third matching subunit;

[0056] The first matching subunit is used to compare the first first-level title information with the second first-level title information to obtain a first comparison result, the second matching subunit is used to compare the first second-level title information with the second second-level title information to obtain a second comparison result, and the third matching subunit is used to compare the first third-level title information with the second third-level title information to obtain a third comparison result.

[0057] Furthermore, the operation management risk calculation unit includes:

[0058] A judgment subunit and a weighting unit;

[0059] The judgment subunit is used to judge the number and position of title missings of the first comparison result, the second comparison result and the third comparison result to obtain a quantity judgment result and a position judgment result, and the weighting unit is used to weight the position judgment result and the quantity judgment result to obtain a risk assessment result.

[0060] Specifically, the risk assessment results include: low risk; general risk; greater risk; and significant risk.

[0061] Furthermore, the information feedback and update module includes rule updates, security measures updates, and security measures suggestion updates. The rule updates include updates to the data source database caused by changes such as the revision and abolition of laws, administrative regulations, departmental regulations, and standards and specifications. The security measures updates include enterprises proactively updating various security measures or optimizing and improving various security measures based on the rectification suggestions given by third-party assessment agencies, competent authorities, and other entities in the last risk assessment.

[0062] The security measure recommendation update refers to the change or difference in the security measure recommendation finally formed due to the rule update or security measure update. This type of update is a passive update.

[0063] like Figure 2 As shown in the figure, the process of applying the risk assessment system for autonomous driving vehicle operation enterprise management to the enterprise is as follows:

[0064] Step 1: Determine whether the enterprise has currently established security measures. If yes, proceed to step 2; if no, proceed to step 4;

[0065] Step 2: Determine whether the security measures currently established by the enterprise are complete. If so, proceed to step 3; if not, proceed to step 4;

[0066] Step 3: Determine whether the security measures currently established by the enterprise are fully implemented. If they are, then end; if not, proceed to step 4;

[0067] Step 4: Use the autonomous vehicle operation enterprise management risk assessment system to conduct an operational risk assessment based on the establishment, perfection, and implementation of the enterprise's safety measures. Make corrections to safety measures based on the assessment data. After corrections, return to step 1 and proceed to the next risk assessment.

[0068] This embodiment also provides a method for assessing management risks of an autonomous driving vehicle operation enterprise, including:

[0069] Step 100: inputting the operation management system information of the enterprise to be evaluated, wherein the operation management system information includes: first level title information, first level second title information and first level third title information;

[0070] Step 200: Obtain database information and perform risk assessment on the enterprise to be assessed based on the database information, the operation management system information and the risk assessment algorithm to obtain assessment data;

[0071] Step 300: The information display module is used to display the assessment data, and the information feedback and update module is used to update the database information and provide feedback and record the risk assessment rectification items.

[0072] like Figure 3 As shown in the figure, the risk assessment algorithm process for the management of autonomous vehicle operating enterprises is as follows:

[0073] Step 1: Compare each level 3 title information A of the operation management system information entered by the enterprise in the format with the level 3 title information A' in the database information one by one. If the information comparison results are consistent, proceed to step 2; if the information comparison results are inconsistent, determine whether the information is redundant. If it is redundant, proceed to step 4; if it is not redundant, proceed to step 2.

[0074] Step 2: Determine whether the "mapping relationship between the third-level title and the second-level title (F: B→A)" in the operation management information entered by the enterprise is consistent with the "mapping relationship between the third-level title and the second-level title (F': B'→A')" in the database information. If not, proceed to step 4; if consistent, proceed to step 3.

[0075] Step 3: Assign points to the content of the jth level 3 title and proceed to step 5.

[0076] Step 4: Do not assign points to the third-level title content of item j, and record the "third-level title information" in this item of operation management information as a risk assessment rectification item.

[0077] Step 5: Loop to determine the next level 3 title information, i.e., let j=j+1, until the termination determination condition, i.e., j>n, is met.

[0078] like Figure 4 As shown in the figure, the calculation method for the management risk score of the autonomous vehicle operating enterprise is:

[0079] Step 1: Divide the database information into three categories: first-level title information (a total of x items; x < m), second-level title information (a total of m items; m < n), and third-level title information (a total of n items), and construct an information mapping relationship between the first-level title information and the second-level title information, and construct an information mapping relationship between the second-level title information and the third-level title information.

[0080] Step 2: According to the number n of three-level title content items divided into the database, assign the same score to each item and set the total score.

[0081] Furthermore, the total score of each item of the third-level heading can be set to 100 points, and the score of each item is 100 / n points.

[0082] Step 3: Based on the database third-level title information, the scores of each second-level title are calculated by summing up the mapping relationship between the database second-level title information and the database third-level title information.

[0083] Furthermore, the total score of each of the second-level headings is calculated based on the total score of each of the third-level headings, which can be 100 points. The calculation method is as follows:

[0084] ΣS B1' +…+S Bm' =100

[0085] Furthermore, the scores of each level 2 title are actually calculated based on the correlation between the level 3 title information and the level 2 title information. The calculation method is as follows:

[0086] S B1' =ΣS Cn'

[0087] …

[0088] S Bm' =ΣS Cn'

[0089] Among them, Σ is the summation function; S is the scoring function for each level of titles; m is the number of items contained in the second-level title, and Bm' is the specific information of the m-th second-level title; n is the number of items contained in the third-level title, and Cn' is the specific information of the n-th third-level title.

[0090] Step 4: Based on the database's secondary title information, calculate the score of each first-level title by summing up the mapping relationship between the first-level title information and the second-level title information.

[0091] Furthermore, the total score of each first-level heading is calculated based on the total score of each second-level heading, which can be 100 points. The calculation method is as follows:

[0092] ΣP 1' +…+P x' =100

[0093] Among them, Σ is the sum function; x is the number of items contained in the first-level title, P x’ The score of the xth first-level heading.

[0094] Furthermore, the scores of each level 2 title are actually calculated based on the correlation between the level 3 title information and the level 2 title information. The calculation method is as follows:

[0095] P 1' =ΣS B1'

[0096] …

[0097] P x' =ΣS Bm'

[0098] Among them, Σ is the sum function; x is the number of items contained in the first-level title, P x’ is the score of the x-th first-level title; m is the number of items in the second-level title, Bm' is the specific information of the m-th second-level title, S Bm’ is the score of the mth secondary heading.

[0099] Step 5: According to the above-mentioned enterprise management risk assessment algorithm process, and combined with the database title scoring rules at all levels in steps 1 to 4, score the title content at all levels entered by the enterprise to obtain the third-level title content score, the second-level title content score and the first-level title content score respectively.

[0100] Furthermore, the risk assessment results of the enterprise operation management system include: low risk; general risk; relatively high risk; major risk. The specific calculation method is: weight the content of each level of title entered by the enterprise and sum them up:

[0101] P = μ1 × third-level title content score + μ2 × second-level title content score + μ3 × first-level title content score

[0102] Among them, μ1 is the scoring weight of the third-level title content, μ2 is the scoring weight of the second-level title content, and μ3 is the scoring weight of the first-level title content.

[0103] Furthermore, the third-level title content, as a micro-specific indicator of the various contents of the management system, should be given a higher weight; the second-level title content and the first-level title content, as the related content of the third-level title content and the second-level title content, have corresponding subordinate relationships and should be given a lower weight. Optionally, the weights of the title content at each level can be taken according to the following table.

[0104] Table of value of title content weight at each level

[0105]

[0106] Furthermore, the method for dividing the risk assessment results of the enterprise operation management system is shown in the table below, where the higher the score, the lower the enterprise operation management risk, and the lower the score, the higher the enterprise operation management risk.

[0107] Enterprise operation management risk level classification table

[0108] Risk grading Score range Low risk [80，100] General Risks [60，80) Greater risk [40，60) Significant risks [0，40)

[0109] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

[0110] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A risk assessment system for autonomous driving vehicle operation enterprises, characterized in that: include: An information input module, an information processing module, an information display module, an information feedback and update module connected in sequence; The information input module is used to input the operation management system information of the enterprise to be evaluated, and the operation management system information includes: first-level title information, first-level second-level title information and first-level third-level title information. The information processing module is used to obtain database information and perform risk assessment on the enterprise to be evaluated based on the database information, the operation management system information and the risk assessment algorithm to obtain assessment data, and the assessment data includes risk assessment results, risk assessment rectification items and recommended measures. The information display module is used to display the assessment data, and the information feedback and update module is used to update the database information and provide feedback and record the risk assessment rectification items.

2. The risk assessment system for managing an autonomous vehicle operation enterprise according to claim 1, characterized in that: The information processing module includes: Rules layer, security measures entry layer, risk assessment layer and security measures suggestion layer; The rule layer is used to obtain database information, the security assurance measure entry layer is used to receive the operation management system information, the risk assessment layer is used to perform risk assessment on the enterprise to be assessed based on the database information, the operation management system information and the risk assessment algorithm to obtain the risk assessment result, wherein the risk assessment algorithm includes: information matching algorithm and operation management risk calculation algorithm, and the security assurance measure recommendation layer is used to obtain risk assessment rectification items and recommended measures based on the risk assessment result.

3. The risk assessment system for managing an autonomous vehicle operation enterprise according to claim 2, characterized in that: The risk assessment layer includes: Standard system acquisition unit, information matching unit and operation management risk calculation unit; The standard system acquisition unit is used to form standard guarantee system information based on the database information, and the standard guarantee system information includes: second-level title information, second-level title information and second-level title information. The matching unit is used to compare the standard guarantee system information with the operation management system information to obtain risk results, and the risk results include: first comparison results, second comparison results and third comparison results. The operation management risk calculation unit is used to classify the risk results to obtain risk assessment results.

4. The risk assessment system for managing an autonomous vehicle operation enterprise according to claim 3, characterized in that: The information matching unit comprises: a first matching subunit, a second matching subunit and a third matching subunit; The first matching subunit is used to compare the first first-level title information with the second first-level title information to obtain a first comparison result, the second matching subunit is used to compare the first second-level title information with the second second-level title information to obtain a second comparison result, and the third matching subunit is used to compare the first third-level title information with the second third-level title information to obtain a third comparison result.

5. The risk assessment system for managing an autonomous vehicle operation enterprise according to claim 4, characterized in that: The operational management risk calculation unit includes: A judgment subunit and a weighting unit; The judgment subunit is used to judge the number and position of title missings of the first comparison result, the second comparison result and the third comparison result to obtain a quantity judgment result and a position judgment result, and the weighting unit is used to weight the position judgment result and the quantity judgment result to obtain a risk assessment result.

6. A method for assessing management risks of an autonomous vehicle operating enterprise, characterized in that: include: Enter the operation and management system information of the enterprise to be evaluated, wherein the operation and management system information includes: first-level title information, first-level second-level title information, and first-level third-level title information; Obtaining database information and conducting risk assessment on the enterprise to be assessed based on the database information, the operation management system information and the risk assessment algorithm to obtain assessment data; The information display module is used to display the assessment data, and the information feedback and update module is used to update the database information and provide feedback and record the risk assessment rectification items.

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