Vehicle performance index early warning method, device and equipment and readable storage medium

Abstract

The invention discloses a vehicle performance index early warning method, device and equipment and a readable storage medium, and the method comprises the steps: taking a performance index with an updated numerical value as a current performance index when the numerical value of the performance index is detected to be updated; if the performance indexes directly influenced by the current performance index exist, calculating to obtain an updated value of each directly influenced performance index according to the updated value of the current performance index and a regression model between the current performance index and each directly influenced performance index; and for each directly-affected performance index, if the updated value of the directly-affected performance index exceeds the preset range of the directly-affected performance index, outputting an early warning for the directly-affected performance index. According to the invention, each performance index of the vehicle can be managed and controlled and early warned in time, and the management and control early warning scheme can well reflect the dependency influence relationship among the performance indexes of the vehicle.

Description

Technical Field

[0001] The present application relates to the technical field of vehicle performance index information management, and in particular to a vehicle performance index early warning method, device, equipment and readable storage medium. Background Art

[0002] The indicators used to evaluate vehicle performance can usually be classified into: power, economy, braking, handling stability, smoothness, passability and environmental protection. Many categories include multiple sub-indicators. It can be seen that there are many performance indicators for vehicles, and there are some dependent and influential relationships between the various performance indicators of vehicles. The performance indicators of vehicles are structural characteristics that determine the efficiency and convenience of vehicle utilization, and it is very necessary to manage them efficiently.

[0003] However, there is currently a lack of technical solutions for efficiently managing various performance indicators of vehicles. Summary of the invention

[0004] The present application provides a vehicle performance indicator early warning method, device, equipment and readable storage medium, aiming to solve the technical problem of the current lack of technical solutions for efficient management of various performance indicators of vehicles.

[0005] In a first aspect, an embodiment of the present application provides a vehicle performance indicator early warning method, wherein the performance indicator includes a plurality of vehicle performance indicators, and the vehicle performance indicator early warning method includes:

[0006] For each performance indicator, when it is detected that the value of the performance indicator is updated, the performance indicator with the updated value is used as the current performance indicator;

[0007] Find all performance indicators directly affected by the current performance indicator. If the current performance indicator has a directly affected performance indicator, calculate the updated value of each directly affected performance indicator based on the updated value of the current performance indicator and the regression model between the current performance indicator and each directly affected performance indicator.

[0008] For each directly affected performance indicator, if the updated value of the directly affected performance indicator exceeds the preset range of the directly affected performance indicator, outputting a warning for the directly affected performance indicator;

[0009] Each directly affected performance indicator is respectively taken as the current performance indicator, and the step of searching for the performance indicator directly affected by the current performance indicator is returned to be executed.

[0010] Optionally, for each performance indicator, when it is detected that the value of the performance indicator is updated, before taking the performance indicator with the updated value as the current performance indicator, the following steps are included:

[0011] Use the adjacency list of the cross-linked list to store each performance index data of the vehicle;

[0012] Use the inverse adjacency list of the cross-linked list to store each impact relationship data between various performance indicators of the vehicle;

[0013] The search for all performance indicators directly affected by the current performance indicator includes:

[0014] Use the cross linked list to find all performance indicators that are directly affected by the current performance indicator.

[0015] Optionally, for each performance indicator, when it is detected that the value of the performance indicator is updated, after the performance indicator with the updated value is used as the current performance indicator, the method further includes:

[0016] If the updated value of the current performance indicator exceeds the preset range of the current performance indicator, an early warning is output for the current performance indicator.

[0017] Optionally, the vehicle performance indicator early warning method further includes:

[0018] Each performance indicator is respectively used as the current performance indicator;

[0019] Find all performance indicators that are directly affected by the current performance indicator. If the current performance indicator has a performance indicator that is directly affected, then output the relationship between the current performance indicator and all the directly affected performance indicators in a visual manner.

[0020] Each directly affected performance indicator is taken as the current performance indicator respectively, and the step of searching for all performance indicators directly affected by the current performance indicator is returned to be executed.

[0021] Optionally, each performance indicator data includes the ID of the performance indicator, the updated value of the performance indicator, the preset range of the performance indicator, the ID of the first directly influencing relationship of the performance indicator, and the ID of the first directly affected relationship of the performance indicator; each influence relationship data includes the ID of the influence relationship, the ID of the directly influencing performance indicator, the ID of the directly affected performance indicator, the ID of the next influence relationship of the same directly influencing performance indicator, the ID of the next influence relationship of the same directly affected performance indicator, and the regression model of the influence relationship.

[0022] In a second aspect, an embodiment of the present application provides a vehicle performance indicator warning device, wherein the performance indicator includes a plurality of vehicle performance indicators, and the vehicle performance indicator warning device includes:

[0023] A detection module is used for each performance indicator, when it is detected that the value of the performance indicator is updated, to use the performance indicator with the updated value as the current performance indicator;

[0024] A first search module is used to search for all performance indicators directly affected by the current performance indicator. If the current performance indicator has a performance indicator directly affected, then based on the updated value of the current performance indicator and the regression model between the current performance indicator and each directly affected performance indicator, the updated value of each directly affected performance indicator is calculated;

[0025] An early warning module is used to output an early warning for each directly affected performance indicator if the updated value of the directly affected performance indicator exceeds a preset range of the directly affected performance indicator;

[0026] The second search module is used to take each directly affected performance indicator as the current performance indicator and return to execute the step of searching for the performance indicator directly affected by the current performance indicator.

[0027] Optionally, the vehicle performance indicator warning device further includes a storage module, which is used to:

[0028] Use the adjacency list of the cross-linked list to store each performance index data of the vehicle;

[0029] Use the inverse adjacency list of the cross-linked list to store each impact relationship data between various performance indicators of the vehicle;

[0030] The first search module is further used for:

[0031] Use the cross linked list to find all performance indicators that are directly affected by the current performance indicator.

[0032] Optionally, the vehicle performance indicator warning device further includes a visual output module, which is used to:

[0033] Each performance indicator is respectively used as the current performance indicator;

[0034] Find all performance indicators that are directly affected by the current performance indicator. If the current performance indicator has a performance indicator that is directly affected, then output the relationship between the current performance indicator and all the directly affected performance indicators in a visual manner.

[0035] Each directly affected performance indicator is taken as the current performance indicator respectively, and the step of searching for all performance indicators directly affected by the current performance indicator is returned to be executed.

[0036] In the third aspect, an embodiment of the present application provides a vehicle performance indicator warning device, which includes a processor, a memory, and a vehicle performance indicator warning program stored in the memory and executable by the processor, wherein when the vehicle performance indicator warning program is executed by the processor, the steps of the vehicle performance indicator warning method described above are implemented.

[0037] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a vehicle performance indicator warning program is stored, wherein when the vehicle performance indicator warning program is executed by a processor, the steps of the vehicle performance indicator warning method described above are implemented.

[0038] The beneficial effects brought by the technical solution provided in the embodiments of the present application include:

[0039] In an embodiment of the present application, for each performance indicator, when it is detected that the value of the performance indicator is updated, the performance indicator with the updated value is used as the current performance indicator; all performance indicators directly affected by the current performance indicator are searched, and if the current performance indicator has a directly affected performance indicator, then the updated value of each directly affected performance indicator is calculated based on the updated value of the current performance indicator and the regression model between the current performance indicator and each directly affected performance indicator; for each directly affected performance indicator, if the updated value of the directly affected performance indicator exceeds the preset range of the directly affected performance indicator, then an early warning is output for the directly affected performance indicator; each directly affected performance indicator is taken as the current performance indicator, and the step of searching for the performance indicator directly affected by the current performance indicator is returned. The embodiment of the present application, for each performance indicator of the vehicle, when it is detected that the value of a certain performance indicator is updated, each performance indicator affected by the performance indicator is found out in turn, and based on the updated value of the performance indicator and the regression model between the performance indicator and each affected performance indicator, the updated value of each affected performance indicator is calculated; if the updated value exceeds a preset range, an early warning is output, so that each performance indicator of the vehicle can be timely controlled and warned, and the control and early warning scheme can well reflect the dependent influence relationship between the various performance indicators of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of an embodiment of a vehicle performance indicator early warning method of the present application;

[0041] Figure 2 A schematic diagram of performance indicators of an embodiment of a vehicle performance indicator early warning method of the present application;

[0042] Figure 3This is a data storage diagram of an embodiment of a vehicle performance indicator early warning method of the present application;

[0043] Figure 4 This is a functional module diagram of an embodiment of a vehicle performance indicator warning device of the present application;

[0044] Figure 5 This is a schematic diagram of the hardware structure of the vehicle performance indicator warning device involved in the embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0046] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below with reference to the accompanying drawings.

[0047] In a first aspect, an embodiment of the present application provides a vehicle performance indicator early warning method.

[0048] In one embodiment, referring to Figure 1 , Figure 1 This is a flow chart of an embodiment of the vehicle performance indicator early warning method of the present application, such as Figure 1 As shown, the performance indicators include multiple ones, and the vehicle performance indicator early warning method includes:

[0049] Step S10: for each performance indicator, when it is detected that the value of the performance indicator is updated, the performance indicator with the updated value is used as the current performance indicator.

[0050] In this embodiment, the vehicle performance indicators include multiple indicators, which can be divided into power, economy, braking, handling stability, smoothness, passability and environmental protection indicators according to categories. Many categories include multiple sub-indicators. For details, please refer to Figure 2 , Figure 2 This is a schematic diagram of performance indicators of an embodiment of the vehicle performance indicator early warning method of the present application, such as Figure 2 As shown, the vehicle's performance indicators include curb weight, acceleration, N gear noise and D gear noise, etc. The performance indicators of each vehicle are tested. When it is detected that the value of a vehicle performance indicator is updated, the vehicle performance indicator with the updated value is used as the current performance indicator. For example, when it is detected that the vehicle's curb weight is updated, the curb weight is used as the current performance indicator.

[0051] Step S20, search for all performance indicators directly affected by the current performance indicator. If the current performance indicator has a directly affected performance indicator, then calculate the updated value of each directly affected performance indicator based on the updated value of the current performance indicator and the regression model between the current performance indicator and each directly affected performance indicator.

[0052] In this embodiment, continue to refer to Figure 2 It should be noted that Figure 2 The following is a directed graph. Figure 2 Each node in represents a performance indicator. Figure 2 The nodes pointed by the arrows represent the performance indicators that are directly affected. Figure 2 Node ③ in is taken as the current performance index as an example, where node ③ represents the vehicle performance index of "front floor, 0-200Hz noise". By searching for all performance indexes directly affected by node ③, it can be known that node ③ has a performance index that is directly affected, and the performance indexes directly affected by node ③ include nodes ②, nodes ④, nodes ⑤ and nodes ⑧. Further, according to the updated value of node ③ and the regression model between node ③ and nodes ②, nodes ④, nodes ⑤ and nodes ⑧, the updated values ​​of nodes ②, nodes ④, nodes ⑤ and nodes ⑧ are calculated. For example, the regression model between node ③ and node ② is y=0.5x+5. Then, according to the updated value of node ③ (x in the regression model) and the regression model y=0.5x+5, the updated value of node ② (y in the regression model) can be calculated. Continue to refer to Figure 2 , assuming that Figure 2 Taking node ① in the figure as the current performance indicator as an example, by searching for all the performance indicators directly affected by node ①, it can be known that node ① does not have any performance indicator directly affected, so the value of node ① is updated without subsequent calculation.

[0053] Step S30: for each directly affected performance indicator, if the updated value of the directly affected performance indicator exceeds the preset range of the directly affected performance indicator, outputting a warning for the directly affected performance indicator.

[0054] In this embodiment, continue to refer to Figure 2 , continue with Figure 2Taking node ③ in the figure as the current performance index, after calculating the updated value of node ② (y in the regression model) based on the regression model between node ③ and node ② being y=0.5x+5 and the updated value of node ③ (x in the regression model), if the calculated updated value of node ② exceeds the preset range of node ②, an early warning is output for node ② to prompt management personnel to optimize and improve the design of node ②, thereby further comprehensively improving the performance experience of the whole vehicle through timely control and early warning of various performance indicators of the vehicle.

[0055] Step S40, taking each directly affected performance indicator as the current performance indicator, and returning to execute the step of searching for the performance indicator directly affected by the current performance indicator.

[0056] In this embodiment, continue to refer to Figure 2 , continue with Figure 2 Node ③ in is the current performance index as an example. After finding the performance index node ⑤ directly affected by node ③, continue to use node ⑤ as the current performance index, return to perform step S20 to find all the performance indexes directly affected by the current performance index, so that all the performance index nodes ⑥ directly affected by node ⑤ can be found through node ⑤. Further, according to the updated value of node ⑤ and the regression model between node node ⑤ and node ⑥, the updated value of node ⑥ is calculated. If the calculated updated value of node ⑥ exceeds the preset range of node ⑥, an early warning is output for node ⑥. It can be seen that when the value of a certain performance index of the vehicle is detected to be updated, the various performance indicators affected by the performance index can be found out step by step, and the various performance indicators of the vehicle can be timely controlled and warned, and the dependence and influence relationship between the various performance indicators of the vehicle is well reflected. In addition, it should be noted that the present invention is only implemented by taking the breadth-first search algorithm as an example. The present invention is also applicable to be implemented by the depth-first search algorithm, that is, after finding a certain performance index directly affected by the current performance index, the performance index directly affected by the next level is preferentially continued to be searched in the depth direction.

[0057] In this embodiment, the performance indicators of each vehicle are tested. When it is detected that the value of a vehicle performance indicator is updated, the vehicle performance indicator with the updated value is used as the current performance indicator, and the various performance indicators affected by the current performance indicator are found out step by step. According to the updated value of the current performance indicator and the regression model between the performance indicator and each affected performance indicator, the updated value of each affected performance indicator is calculated. If the updated value exceeds the preset range, an early warning is output to prompt the management personnel to optimize the design and improve the performance indicator, etc., so that the performance experience of the whole vehicle can be further comprehensively improved through timely management and early warning of each performance indicator of the vehicle, and the dependency and influence relationship between each performance indicator of the vehicle is well reflected.

[0058] Furthermore, in one embodiment, before step S10, the following steps are included:

[0059] Use the adjacency list of the cross-linked list to store each performance index data of the vehicle;

[0060] Use the inverse adjacency list of the cross-linked list to store each impact relationship data between various performance indicators of the vehicle;

[0061] The search for all performance indicators directly affected by the current performance indicator includes:

[0062] Use the cross linked list to find all performance indicators that are directly affected by the current performance indicator.

[0063] In this embodiment, it is easy to understand that Figure 2It well reflects the various performance indicators of the vehicle and the dependent influence relationship between each performance indicator. In order to further conduct timely control and early warning of various performance indicators of the vehicle through digital means, it is necessary to use a data structure to store various performance indicators of the vehicle and the dependent influence relationship between each performance indicator. Here, the adjacency list of the cross linked list is used to store each performance indicator data of the vehicle, and the inverse adjacency list of the cross linked list is used to store each influence relationship data between various performance indicators of the vehicle. It is important to understand that data structure is the way computers store and organize data. A graph is a nonlinear data structure. In a graph structure, data nodes are generally called vertices, and edges are ordered pairs of vertices. If there is an edge between two vertices, it means that the two vertices are adjacent. A directed graph D refers to an ordered triple (V(D), A(D), ψ(D), where ψ(D) is the association function, which makes each element in A(D) (called a directed edge or arc) correspond to an ordered pair of elements (called vertices or points) in V(D). The adjacency list is the most important storage structure of a graph, which is used to describe each point on the graph. A container is established for each vertex of the graph (n containers are established for n vertices). The node in the i-th container contains all adjacent vertices of the vertex Vi. In fact, the adjacency matrix we often use is an adjacency list that does not discretize the edge set of each point. The cross linked list (Orthogonal List): It is another chain storage structure of directed graphs. This structure can be regarded as a combination of the adjacency list and the reverse adjacency list of directed graphs. Using a cross linked list to store directed graphs can achieve efficient storage and access effects. For details, please refer to Figure 3 , Figure 3 This is a data storage diagram of an embodiment of the vehicle performance indicator early warning method of the present application, such as Figure 3 As shown, the vertices on the left, i.e., the performance indicators of the vehicle, are stored using an adjacency list, and the edge information on the right, i.e., the influence relationship between the performance indicators of the vehicle, is stored using an inverse adjacency list. Furthermore, all performance indicators directly affected by the current performance indicator can be searched through a cross linked list to achieve efficient search efficiency.

[0064] Furthermore, in one embodiment, after step S10, the following steps are included:

[0065] If the updated value of the current performance indicator exceeds the preset range of the current performance indicator, an early warning is output for the current performance indicator.

[0066] In this embodiment, the above mainly considers the monitoring and early warning of various performance indicators affected by the current performance indicator. Here, the updated value of the current performance indicator is monitored and warned, thereby achieving timely control and early warning of all performance indicators of the vehicle.

[0067] Furthermore, in one embodiment, the vehicle performance indicator early warning method further includes:

[0068] Each performance indicator is respectively used as the current performance indicator;

[0069] Find all performance indicators that are directly affected by the current performance indicator. If the current performance indicator has a performance indicator that is directly affected, then output the relationship between the current performance indicator and all the directly affected performance indicators in a visual manner.

[0070] Each directly affected performance indicator is taken as the current performance indicator respectively, and the step of searching for all performance indicators directly affected by the current performance indicator is returned to be executed.

[0071] In this embodiment, each performance indicator is taken as the current performance indicator in turn. Figure 3 The cross-linked list shown in the figure searches for all performance indicators that are directly affected by the current performance indicator, that is, Figure 3 The chain that affects this indicator can be traced back in reverse. By searching level by level, the relationship between the current performance indicator and all the affected performance indicators can be output in a visual way, which can finally achieve Figure 2 The dependent influence relationship between various performance indicators of the vehicle is displayed, so that managers can efficiently manage and optimize various performance indicators of the vehicle.

[0072] Furthermore, in one embodiment, each performance indicator data includes the ID of the performance indicator, the updated value of the performance indicator, the preset range of the performance indicator, the ID of the first directly affecting relationship of the performance indicator, and the ID of the first directly affected relationship of the performance indicator, and each influence relationship data includes the ID of the influence relationship, the ID of the directly affecting performance indicator, the ID of the directly affected performance indicator, the ID of the next influence relationship of the same directly affecting performance indicator, the ID of the next influence relationship of the same directly affected performance indicator, and the regression model of the influence relationship.

[0073] In this embodiment, continue to refer to Figure 3The left side is used to store the Id, data, range, FirstinId and FirstoutId in the adjacency list data structure of the vertex, i.e., each performance indicator of the vehicle, which are respectively the ID of the performance indicator, the updated value of the performance indicator, the preset range of the performance indicator, the ID of the first directly affecting relationship of the performance indicator, and the ID of the first directly affected relationship of the performance indicator. The right side is used to store the Id, TailvexId, HeadvexId, HeadlinkId, TaillinkId and Model in the inverse adjacency list data structure of the direct affecting relationship of each performance indicator of the vehicle, which are respectively the ID of the affecting relationship, the ID of the directly affecting performance indicator, the ID of the directly affected performance indicator, the ID of the next affecting relationship of the same directly affecting performance indicator, the ID of the next affecting relationship of the same directly affected performance indicator, and the regression model of the affecting relationship.

[0074] In a second aspect, an embodiment of the present application also provides a vehicle performance indicator warning device.

[0075] In one embodiment, referring to Figure 4 , Figure 4 This is a functional module diagram of an embodiment of the vehicle performance indicator warning device of the present application, such as Figure 4 As shown, the performance indicators include multiple ones, and the vehicle performance indicator warning device includes:

[0076] The detection module 10 is used for, for each performance indicator, when it is detected that the value of the performance indicator is updated, taking the performance indicator with the updated value as the current performance indicator;

[0077] A first search module 20 is used to search for all performance indicators directly affected by the current performance indicator. If the current performance indicator has a directly affected performance indicator, then according to the updated value of the current performance indicator and the regression model between the current performance indicator and each directly affected performance indicator, the updated value of each directly affected performance indicator is calculated;

[0078] An early warning module 30 is used to output an early warning for each directly affected performance indicator if the updated value of the directly affected performance indicator exceeds a preset range of the directly affected performance indicator;

[0079] The second search module 40 is used to take each directly affected performance indicator as the current performance indicator and return to execute the step of searching for the performance indicator directly affected by the current performance indicator.

[0080] Furthermore, in one embodiment, the vehicle performance indicator warning device further includes a storage module, which is used to:

[0081] Use the adjacency list of the cross-linked list to store each performance index data of the vehicle;

[0082] Use the inverse adjacency list of the cross-linked list to store each impact relationship data between various performance indicators of the vehicle;

[0083] The first search module is further used for:

[0084] Use the cross linked list to find all performance indicators that are directly affected by the current performance indicator.

[0085] Furthermore, in one embodiment, the vehicle performance indicator warning device further includes a current performance indicator warning module, which is used to:

[0086] If the updated value of the current performance indicator exceeds the preset range of the current performance indicator, an early warning is output for the current performance indicator.

[0087] Furthermore, in one embodiment, the vehicle performance indicator warning device further includes a visual output module for:

[0088] Each performance indicator is respectively used as the current performance indicator;

[0089] Find all performance indicators that are directly affected by the current performance indicator. If the current performance indicator has a performance indicator that is directly affected, then output the relationship between the current performance indicator and all the directly affected performance indicators in a visual manner.

[0090] Each directly affected performance indicator is taken as the current performance indicator respectively, and the step of searching for all performance indicators directly affected by the current performance indicator is returned to be executed.

[0091] Furthermore, in one embodiment, each performance indicator data includes the ID of the performance indicator, the updated value of the performance indicator, the preset range of the performance indicator, the ID of the first directly affecting relationship of the performance indicator, and the ID of the first directly affected relationship of the performance indicator, and each influence relationship data includes the ID of the influence relationship, the ID of the directly affecting performance indicator, the ID of the directly affected performance indicator, the ID of the next influence relationship of the same directly affecting performance indicator, the ID of the next influence relationship of the same directly affected performance indicator, and the regression model of the influence relationship.

[0092] Among them, the functional implementation of each module in the above-mentioned vehicle performance index warning device corresponds to the various steps in the above-mentioned vehicle performance index warning method embodiment, and its functions and implementation processes will not be repeated here one by one.

[0093] In a third aspect, an embodiment of the present application provides a vehicle performance indicator warning device.

[0094] Reference Figure 5, Figure 5 The hardware structure diagram of the vehicle performance indicator warning device involved in the embodiment of the present application is shown in FIG. In the embodiment of the present application, the vehicle performance indicator warning device may include a processor, a memory, a communication interface, and a communication bus.

[0095] The communication bus may be of any type and is used to interconnect the processor, the memory, and the communication interface.

[0096] The communication interface includes input / output (I / O) interface, physical interface and logical interface, etc., which are used to realize the interconnection of devices inside the vehicle performance indicator warning device, and the interface used to realize the interconnection of the vehicle performance indicator warning device with other devices (such as other computing devices or user devices). The physical interface can be an Ethernet interface, a fiber optic interface, an ATM interface, etc.; the user device can be a display, a keyboard, etc.

[0097] The memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.

[0098] The processor may be a general-purpose processor, and the general-purpose processor may call the vehicle performance indicator warning program stored in the memory and execute the vehicle performance indicator warning method provided in the embodiment of the present application. For example, the general-purpose processor may be a central processing unit (CPU). The method executed when the vehicle performance indicator warning program is called may refer to the various embodiments of the vehicle performance indicator warning method of the present application, and will not be repeated here.

[0099] Those skilled in the art will understand that Figure 5 The hardware structure shown in the figure does not constitute a limitation on the present application, and may include more or less components than shown in the figure, or combine certain components, or arrange the components differently.

[0100] In a fourth aspect, an embodiment of the present application also provides a readable storage medium.

[0101] A vehicle performance indicator warning program is stored on the readable storage medium of the present application, wherein when the vehicle performance indicator warning program is executed by the processor, the steps of the vehicle performance indicator warning method as described above are implemented.

[0102] Among them, the method implemented when the vehicle performance indicator warning program is executed can refer to the various embodiments of the vehicle performance indicator warning method of the present application, and will not be repeated here.

[0103] It should be noted that the serial numbers of the above-mentioned embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0104] The terms "including" and "having" and any variations thereof in the specification and claims of this application and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices. The terms "first", "second" and "third" are used to distinguish different objects, etc., and do not represent a sequence, nor do they limit "first", "second" and "third" to different types.

[0105] In the description of the embodiments of the present application, "exemplary", "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary", "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary", "for example" or "for example" is intended to present related concepts in a specific way.

[0106] In the description of the embodiments of the present application, unless otherwise specified, “ / ” means or, for example, A / B can mean A or B; the “and / or” in the text is merely a description of the association relationship of associated objects, indicating that three relationships may exist, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, “multiple” refers to two or more than two.

[0107] In some processes described in the embodiments of the present application, multiple operations or steps that appear in a specific order are included, but it should be understood that these operations or steps may not be executed in the order in which they appear in the embodiments of the present application or in parallel, and the sequence number of the operation is only used to distinguish the different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed in sequence or in parallel, and these operations or steps may be combined.

[0108] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, disk, CD) as described above, and includes a number of instructions for a terminal device to execute the methods described in each embodiment of the present application.

[0109] The above are only preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A vehicle performance indicator early warning method, characterized in that: The performance indicators include multiple ones, and the vehicle performance indicator early warning method includes: For each performance indicator, when it is detected that the value of the performance indicator is updated, the performance indicator with the updated value is used as the current performance indicator; Find all performance indicators directly affected by the current performance indicator. If the current performance indicator has a directly affected performance indicator, calculate the updated value of each directly affected performance indicator based on the updated value of the current performance indicator and the regression model between the current performance indicator and each directly affected performance indicator. For each directly affected performance indicator, if the updated value of the directly affected performance indicator exceeds the preset range of the directly affected performance indicator, outputting a warning for the directly affected performance indicator; Each directly affected performance indicator is respectively taken as the current performance indicator, and the step of searching for the performance indicator directly affected by the current performance indicator is returned to be executed.

2. The vehicle performance indicator early warning method according to claim 1, characterized in that: In the step of detecting that the value of the performance indicator is updated for each performance indicator, before taking the performance indicator with the updated value as the current performance indicator, the step includes: Use the adjacency list of the cross-linked list to store each performance index data of the vehicle; Use the inverse adjacency list of the cross-linked list to store each impact relationship data between various performance indicators of the vehicle; The search for all performance indicators directly affected by the current performance indicator includes: Use the cross linked list to find all performance indicators that are directly affected by the current performance indicator.

3. The vehicle performance indicator early warning method according to claim 1, characterized in that: In the step of detecting that the value of each performance indicator is updated, taking the performance indicator with the updated value as the current performance indicator, the method further comprises: If the updated value of the current performance indicator exceeds the preset range of the current performance indicator, an early warning is output for the current performance indicator.

4. The vehicle performance indicator early warning method according to claim 1, characterized in that: The vehicle performance indicator early warning method further includes: Each performance indicator is respectively used as the current performance indicator; Find all performance indicators that are directly affected by the current performance indicator. If the current performance indicator has a performance indicator that is directly affected, then output the relationship between the current performance indicator and all the directly affected performance indicators in a visual manner. Each directly affected performance indicator is taken as the current performance indicator respectively, and the step of searching for all performance indicators directly affected by the current performance indicator is returned to be executed.

5. The vehicle performance indicator early warning method according to claim 2, characterized in that: Each performance indicator data includes the ID of the performance indicator, the updated value of the performance indicator, the preset range of the performance indicator, the ID of the first directly influencing relationship of the performance indicator and the ID of the first directly affected relationship of the performance indicator. Each influence relationship data includes the ID of the influence relationship, the ID of the directly influencing performance indicator, the ID of the directly affected performance indicator, the ID of the next influence relationship of the same directly influencing performance indicator, the ID of the next influence relationship of the same directly affected performance indicator and the regression model of the influence relationship.

6. A vehicle performance indicator warning device, characterized in that: The performance indicators include multiple ones, and the vehicle performance indicator early warning device includes: A detection module is used for each performance indicator, when it is detected that the value of the performance indicator is updated, to use the performance indicator with the updated value as the current performance indicator; A first search module is used to search for all performance indicators directly affected by the current performance indicator. If the current performance indicator has a performance indicator directly affected, then based on the updated value of the current performance indicator and the regression model between the current performance indicator and each directly affected performance indicator, the updated value of each directly affected performance indicator is calculated; An early warning module is used to output an early warning for each directly affected performance indicator if the updated value of the directly affected performance indicator exceeds a preset range of the directly affected performance indicator; The second search module is used to take each directly affected performance indicator as the current performance indicator and return to execute the step of searching for the performance indicator directly affected by the current performance indicator.

7. The vehicle performance indicator warning device according to claim 6, characterized in that: The vehicle performance indicator early warning device also includes a storage module for: Use the adjacency list of the cross-linked list to store each performance index data of the vehicle; Use the inverse adjacency list of the cross-linked list to store each impact relationship data between various performance indicators of the vehicle; The first search module is further used for: Use the cross linked list to find all performance indicators that are directly affected by the current performance indicator.

8. The vehicle performance indicator warning device according to claim 6, characterized in that: The vehicle performance indicator warning device further includes a visual output module for: Each performance indicator is respectively used as the current performance indicator; Find all performance indicators that are directly affected by the current performance indicator. If the current performance indicator has a performance indicator that is directly affected, then output the relationship between the current performance indicator and all the directly affected performance indicators in a visual manner. Each directly affected performance indicator is taken as the current performance indicator respectively, and the step of searching for all performance indicators directly affected by the current performance indicator is returned to be executed.

9. A vehicle performance indicator warning device, characterized in that: The vehicle performance indicator warning device includes a processor, a memory, and a vehicle performance indicator warning program stored in the memory and executable by the processor, wherein when the vehicle performance indicator warning program is executed by the processor, the steps of the vehicle performance indicator warning method as described in any one of claims 1 to 5 are implemented.

10. A readable storage medium, characterized in that: The readable storage medium stores a vehicle performance indicator warning program, wherein when the vehicle performance indicator warning program is executed by the processor, the steps of the vehicle performance indicator warning method according to any one of claims 1 to 5 are implemented.

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