Enterprise reliability capability assessment method, device, equipment, storage medium and product

Abstract

The invention relates to an enterprise reliability capability assessment method and device, equipment, a storage medium and a product. The method comprises the following steps: acquiring index data of a to-be-detected enterprise under at least one reliability evaluation index; for any reliability evaluation index, determining an initial score value of the to-be-detected enterprise under the reliability evaluation index according to the index data under the reliability evaluation index; and determining a reliability capability evaluation result of the to-be-detected enterprise according to the initial score value of the to-be-detected enterprise under each reliability evaluation index. By adopting the method, the enterprise reliability capability evaluation accuracy can be improved.

Description

Technical Field

[0001] This application relates to the field of artificial intelligence technology, and particularly to a method, device, equipment, storage medium and product for evaluating the reliability ability of enterprises. Background Art

[0002] In the field of product production, reliability ability is regarded as the core competitiveness of an enterprise, and its level has become a key yardstick for evaluating the comprehensive strength of an enterprise. This ability not only concerns the self-growth of the enterprise, but also profoundly affects the prosperity of the regional economy. Therefore, how to scientifically and accurately evaluate the reliability ability of an enterprise has become a major problem in the enterprise evaluation process.

[0003] However, currently, the expert scoring method is usually used to evaluate the reliability ability of enterprises. The evaluation results of this evaluation method are relatively subjective and labor-consuming.

[0004] With the development of the field of artificial intelligence, how to apply artificial intelligence technology to the scenario of evaluating the reliability ability of enterprises and improve the accuracy of evaluating the reliability ability of enterprises is an urgent problem to be solved currently. Summary of the Invention

[0005] Based on this, in view of the above technical problems, it is necessary to provide a method, device, equipment, storage medium and product for evaluating the reliability ability of enterprises that can improve the accuracy of evaluating the reliability ability of enterprises.

[0006] In a first aspect, this application provides a method for evaluating the reliability ability of an enterprise, including:

[0007] Obtain the index data of the enterprise to be detected under at least one reliability evaluation index;

[0008] For any reliability evaluation index, determine the initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index;

[0009] Determine the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index.

[0010] In one of the embodiments, determining the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index includes:

[0011] Input the initial score values of the enterprise to be detected under each reliability evaluation index into the reliability ability evaluation model to obtain the reliability ability evaluation result of the enterprise to be detected;

[0012] Among them, the reliability ability evaluation model is trained based on the sample score values of sample enterprises under various reliability evaluation indicators and the preset reliability ability evaluation labels of each sample enterprise.

[0013] In one embodiment, the reliability ability evaluation model is constructed based on a discrete neural network; the balance points of the reliability ability evaluation model at different reliability levels are determined according to the sample score values of sample enterprises at least one reliability evaluation indicator at the corresponding reliability level;

[0014] Correspondingly, input the initial score values of the enterprise to be detected under various reliability evaluation indicators into the reliability ability evaluation model to obtain the reliability ability evaluation result of the enterprise to be detected, including:

[0015] For any reliability evaluation indicator, determine the reliability ability evaluation result corresponding to the enterprise to be detected under the reliability evaluation indicator according to the magnitude relationship between the initial score value under the reliability evaluation indicator and the balance points at different reliability levels;

[0016] Determine the reliability ability evaluation result of the enterprise to be detected according to the reliability ability evaluation results corresponding to the enterprise to be detected under various reliability evaluation indicators and the weight coefficients corresponding to each reliability evaluation indicator.

[0017] In one embodiment, determining the reliability ability evaluation result corresponding to the enterprise to be detected under the reliability evaluation indicator according to the magnitude relationship between the initial score value under the reliability evaluation indicator and the balance points at different reliability levels includes:

[0018] When the initial score value under the reliability evaluation indicator exceeds the balance point at the target reliability level, determine the preset result corresponding to the target reliability level as the reliability ability evaluation result corresponding to the enterprise to be detected under the reliability evaluation indicator; among them, the target reliability level is the balance point with the highest value among the balance points exceeded by the initial score value.

[0019] In one embodiment, the reliability evaluation indicators include at least one of the formulation of reliability work items, the management of the reliability work process, the control of suppliers, the construction of a failure review organization and the evaluation of failure analysis capabilities, the reliability management of critical parts, reliability modeling and allocation, fault tree analysis, the formulation of design criteria and their compliance review, simulation analysis and design, the conduct of reliability and environmental tests, and the evaluation and improvement of operational reliability.

[0020] In one embodiment, determining the initial score value of the enterprise to be detected under the reliability evaluation indicator according to the indicator data under the reliability evaluation indicator includes at least one of the following:

[0021] Based on a pre-trained scoring model, process the index data under the reliability evaluation index to obtain the initial score value of the enterprise to be detected under the reliability evaluation index;

[0022] Based on a preset scoring formula, process the index data under the reliability evaluation index to obtain the initial score value of the enterprise to be detected under the reliability evaluation index;

[0023] Among them, the scoring model and the preset scoring formula are trained based on the index data of the sample enterprise under at least one reliability evaluation index and the corresponding preset score values.

[0024] In a second aspect, the present application also provides an enterprise reliability ability evaluation device, including:

[0025] A data acquisition module, configured to acquire index data of the enterprise to be detected under at least one reliability evaluation index;

[0026] A first determination module, configured to, for any reliability evaluation index, determine the initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index;

[0027] A second determination module, configured to determine the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index.

[0028] In a third aspect, the present application also provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0029] Acquire index data of the enterprise to be detected under at least one reliability evaluation index;

[0030] For any reliability evaluation index, determine the initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index;

[0031] Determine the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index.

[0032] In a fourth aspect, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0033] Acquire index data of the enterprise to be detected under at least one reliability evaluation index;

[0034] For any reliability evaluation index, determine the initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index;

[0035] Determine the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index.

[0036] Fifthly, the present application also provides a computer program product, including a computer program, which when executed by a processor, implements the following steps:

[0037] Obtain the index data of the enterprise to be detected under at least one reliability evaluation index;

[0038] For any reliability evaluation index, determine the initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index;

[0039] Determine the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index.

[0040] The above enterprise reliability ability evaluation method, device, equipment, storage medium and product obtain the index data of the enterprise to be detected under at least one reliability evaluation index, and for any reliability evaluation index, determine the initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index; furthermore, determine the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index. In the above process, since the reliability ability evaluation result of the enterprise to be detected considers the initial score values of the enterprise to be detected under at least one reliability evaluation index, the determined reliability ability evaluation result will be more accurate. In addition, not directly relying on expert scoring to determine the reliability ability evaluation result of the enterprise to be detected also makes the process of determining the reliability ability evaluation result of the enterprise to be detected more rigorous and reliable, and at the same time, can reduce the occupation of human resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for describing the embodiments of the present application or related technologies. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0042] Figure 1 It is a schematic flowchart of an enterprise reliability ability evaluation method in an embodiment;

[0043] Figure 2A It is a schematic flowchart of the reliability ability evaluation result determination step in an embodiment;

[0044] Figure 2BSchematic diagram of the process for determining the reliability capability evaluation result in an embodiment;

[0045] Figure 2C Coding diagram in an embodiment;

[0046] Figure 2D Coding diagram in another embodiment;

[0047] Figure 3A Schematic diagram of the process for determining the initial score value in an embodiment;

[0048] Figure 3B Schematic diagram of the process for determining the initial score value in another embodiment;

[0049] Figure 4 Schematic diagram of the process for the enterprise reliability capability evaluation method in another embodiment;

[0050] Figure 5 Structural block diagram of the enterprise reliability capability evaluation device in an embodiment;

[0051] Figure 6 Internal structure diagram of a computer device in an embodiment. Detailed implementation manners

[0052] In order to make the objectives, technical solutions and advantages of the present application clearer and more understandable, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0053] In an embodiment, as Figure 1 shown, a method for evaluating the enterprise reliability capability is provided. In this embodiment, an example is given where this method is applied to a terminal. It can be understood that this method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0054] S110. Obtain the index data of the enterprise to be detected under at least one reliability evaluation index.

[0055] Among them, the enterprise to be detected may be an enterprise that needs to conduct a reliability capability evaluation, and the enterprise to be detected may be an enterprise of any type. Exemplarily, in the present application, the enterprise to be detected may be a product manufacturing enterprise.

[0056] Among them, the reliability evaluation index may be determined based on artificial experience and can be used to characterize the reliability of the enterprise. Optionally, the reliability evaluation indexes corresponding to different types of enterprises to be detected may be the same or different, and the present application does not make any limitation thereto.

[0057] In an alternative embodiment, if the enterprise to be detected is a product manufacturing enterprise, the reliability evaluation indicators may include at least one of the formulation of reliability work items, the management of the reliability work process (work plan, reliability review), the control of suppliers, the construction of a failure review organization and the evaluation of failure analysis capabilities, the reliability management of critical parts, reliability modeling and allocation, fault tree analysis, the formulation of design guidelines and their compliance review, simulation analysis and design (vibration stress, temperature stress, electrical stress simulation), the conduct of reliability and environmental tests, and the use of reliability evaluation and improvement.

[0058] It can be understood that, in order to improve the accuracy of the evaluation of the enterprise to be detected, generally, the reliability evaluation indicators include the above eleven evaluation indicators.

[0059] Exemplarily, the indicator data under different reliability evaluation indicators can be stored in different databases. In the case where the enterprise to be detected has a need for reliability capability evaluation, the indicator data of the enterprise to be detected under the corresponding reliability evaluation indicators can be obtained from the corresponding databases.

[0060] S120. For any reliability evaluation indicator, based on the indicator data under the reliability evaluation indicator, determine the initial score value of the enterprise to be detected under the reliability evaluation indicator.

[0061] Among them, the initial score value can characterize the reliability degree of the enterprise to be detected under the corresponding reliability evaluation indicator. The initial score value can be a percentage score value or a decimal score value, etc.

[0062] It should be noted that, in order to facilitate the comparison of the initial score values of the enterprise to be detected under different reliability evaluation indicators, the initial score values under different reliability evaluation indicators adopt the same scoring system, that is, they are all percentage systems or all decimal systems, etc.

[0063] In an alternative embodiment, the determination rule of the initial score value can be formulated in advance. Based on the corresponding rule, the indicator data under the reliability evaluation indicator is processed to obtain the initial score value of the enterprise to be detected under the corresponding reliability evaluation indicator.

[0064] It should be noted that the determination rule of the initial score value can be determined based on artificial experience. It can be understood that the determination rules of the initial score values corresponding to different reliability evaluation indicators can be different, and the specific rules are determined according to the characteristics of the corresponding reliability evaluation indicators. The present application does not make any limitation on this.

[0065] In an alternative embodiment, the initial score value can be obtained by technicians (such as experts) scoring the indicator data according to their own experience. The present application does not make any limitation on this.

[0066] S130. Determine the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index.

[0067] Among them, the reliability ability evaluation result is used to indicate the reliability degree of the enterprise to be detected. The reliability ability evaluation result can be a qualitative result or a quantitative result, and this application does not make any limitation on this.

[0068] In an alternative implementation manner, if the reliability ability evaluation result is a quantitative result, the initial score values of the enterprise to be detected under each reliability evaluation index can be weighted and summed, and the summation result is used as the reliability ability evaluation result of the enterprise to be detected.

[0069] In another alternative implementation manner, if the reliability ability evaluation result is a qualitative result, the corresponding relationship between the summation result and the preset reliability ability evaluation result can be determined in advance. For example, the preset reliability ability evaluation result can include reliable and unreliable. Correspondingly, the initial score values of the enterprise to be detected under each reliability evaluation index can be weighted and summed, and the preset reliability ability evaluation result corresponding to the summation result is used as the reliability ability evaluation result of the enterprise to be detected.

[0070] In the above enterprise reliability ability evaluation method, by obtaining the index data of the enterprise to be detected under at least one reliability evaluation index, and for any reliability evaluation index, determining the initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index; and then determining the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index. In the above process, since the reliability ability evaluation result of the enterprise to be detected considers the initial score values of the enterprise to be detected under at least one reliability evaluation index, the determined reliability ability evaluation result will be more accurate. In addition, not directly relying on expert scoring to determine the reliability ability evaluation result of the enterprise to be detected also makes the process of determining the reliability ability evaluation result of the enterprise to be detected more rigorous and reliable, and at the same time, can reduce the occupation of human resources.

[0071] It should be noted that the enterprise reliability ability evaluation method provided by this application can also be applied to the evaluation scenarios of enterprises in other dimensions. For example, it can also be applied to the enterprise stability evaluation scenario and can also be applied to the enterprise credibility evaluation scenario, etc. Of course, the evaluation subject can also be not limited to enterprises, but can also be teams, etc., and this application does not make any limitation on this.

[0072] Based on the technical solutions of the above embodiments, the present application further provides an alternative embodiment. In this alternative embodiment, the determination of the reliability ability evaluation result of the enterprise to be detected based on the initial score values of the enterprise to be detected under various reliability evaluation indicators is refined.

[0073] See Figure 2A The reliability ability evaluation result determination steps shown in

[0074] include:

[0075] S210A, input the initial score values of the enterprise to be detected under various reliability evaluation indicators into the reliability ability evaluation model to obtain the reliability ability evaluation result of the enterprise to be detected.

[0076] Among them, the reliability ability evaluation model is trained based on the sample score values of the sample enterprises under various reliability evaluation indicators and the preset reliability ability evaluation labels of each sample enterprise.

[0077] It can be understood that in the case where the nature of the reliability ability evaluation result is different, the training data of the reliability ability evaluation model is also correspondingly different. Exemplarily, in the case where the reliability ability evaluation result is a quantitative result, the preset reliability ability evaluation label of the enterprise can be a specific score value; in the case where the reliability ability evaluation result is a qualitative result, the preset reliability ability evaluation label of the enterprise can be a qualitative evaluation result, for example, reliable or unreliable.

[0078] In an alternative embodiment, the reliability ability evaluation model can be constructed based on a discrete neural network. For example, the reliability ability evaluation model can be constructed based on a discrete Hopfield neural network; the equilibrium points of the reliability ability evaluation model at different reliability levels are determined according to the sample score values of the sample enterprises under at least one reliability evaluation indicator at the corresponding reliability level.

[0079] Among them, the states of the neurons of the discrete neural network are only two cases of 1 and -1, or two cases of 0 and 1. The reliability level can be determined based on artificial experience or user requirements. For example, the reliability level can include A and B, or can include A, B, C, D, and E. The present application does not make any limitation on the number of reliability levels.

[0080] To facilitate those skilled in the art to understand the process of determining the balance point, this application provides an example of determining the balance point.

[0081] Exemplarily, there are 10 groups of training samples. Each group of training samples includes the sample score values of the sample enterprises under 11 reliability evaluation indicators, and the preset reliability ability evaluation label (i.e., the sample grade) of the sample enterprises. As shown in Table 1 below:

[0082] Table 1: Training Samples

[0083]

[0084] Furthermore, the average value of the sample score values corresponding to each sample enterprise with a sample grade of A under the indicator x1 can be used as the balance point of the indicator x1 under the reliability level A. Similarly, the average value of the sample score values corresponding to each sample enterprise with a sample grade of B under the indicator x2 can be used as the balance point of the indicator x2 under the reliability level B.

[0085] Correspondingly, the balance points of different reliability evaluation indicators under different reliability levels can be obtained, as shown in Table 2 below:

[0086] Table 2: Balance Points of Different Reliability Evaluation Indicators under Different Reliability Levels

[0087]

[0088] Correspondingly, in the case where the reliability ability evaluation model is constructed based on a discrete neural network, the process of inputting the initial score values of the enterprise to be detected under each reliability evaluation indicator into the reliability ability evaluation model to obtain the reliability ability evaluation result of the enterprise to be detected is introduced in detail.

[0089] See Figure 2B The steps for determining the reliability ability evaluation result shown, include:

[0090] S210B. For any reliability evaluation indicator, determine the reliability ability evaluation result corresponding to the enterprise to be detected under the reliability evaluation indicator according to the magnitude relationship between the initial score value under the reliability evaluation indicator and the balance points under different reliability levels.

[0091] In an alternative embodiment, when the initial score value under the reliability evaluation indicator exceeds the balance point under the target reliability level, it can be determined that the preset result corresponding to the target reliability level is the reliability ability evaluation result corresponding to the enterprise to be detected under the reliability evaluation indicator.

[0092] Wherein, the target reliability level is the balance point with the highest value among the balance points exceeded by the initial score value.

[0093] Exemplarily, if the initial score value of the enterprise to be detected under the reliability evaluation index x1 exceeds the balance point of the reliability evaluation index x1 under the reliability level A, it is determined that the reliability ability evaluation result corresponding to the enterprise to be detected under the reliability evaluation index x1 is A; if the initial score value of the enterprise to be detected under the reliability evaluation index x1 does not exceed the balance point of the reliability evaluation index x1 under the reliability level A and exceeds the balance point of the reliability evaluation index x1 under the reliability level B, it is determined that the reliability ability evaluation result corresponding to the enterprise to be detected under the reliability evaluation index x1 is B.

[0094] Taking the reliability levels including A, B, C, D, and E as an example for illustration, in order to make the reliability ability evaluation results of the enterprise to be detected under each reliability evaluation index clearer, the reliability ability evaluation results can be presented by encoding them. The encoding rule can be: when the neuron state corresponding to a certain reliability level or higher is "1", otherwise it is "-1". Exemplarily, in an ideal situation (i.e., the reliability ability evaluation results corresponding to the enterprise to be detected under each reliability evaluation index are the same), the encoding of the 5-level evaluation index can be as Figure 2C shown, where the solid circle represents the neuron state of "1", that is, greater than or equal to the ideal evaluation index value (i.e., the corresponding balance point) of the corresponding reliability level, otherwise it is represented by a hollow circle.

[0095] It should be noted that when the initial score value of the enterprise to be detected under the reliability evaluation index x1 exceeds the balance point of the reliability evaluation index x1 under the reliability level A, it will inevitably exceed the balance points of the reliability evaluation index x1 under the reliability levels B, C, D, and E. Therefore, in order to make the encoding diagram clearer, only the circle corresponding to the target reliability level in the encoding diagram is set as a solid circle.

[0096] Exemplarily, taking 5 enterprises to be detected as an example, the application of the encoding diagram is illustrated. The initial score values of Enterprises 1 - 5 under 11 reliability evaluation indexes are shown in Table 3 below:

[0097] Table 3: Initial Score Values of Enterprises to be Detected

[0098]

[0099] Based on the balance points of different reliability evaluation indexes under different reliability levels shown in Table 2, the encoding diagrams corresponding to Enterprises 1 - 5 can be obtained as Figure 2D shown.

[0100] S220B determines the reliability ability evaluation result of the enterprise to be detected according to the reliability ability evaluation results corresponding to the enterprise to be detected under each reliability evaluation index and the weight coefficients corresponding to each reliability evaluation index.

[0101] Among them, the weight coefficients corresponding to each reliability evaluation index can be obtained by the reliability ability evaluation model processing a large number of samples, or can be set based on user requirements. This application does not make any limitations in this regard.

[0102] In the above embodiment, a specific process of processing the initial score values of the enterprise to be detected under each reliability evaluation index based on the reliability ability evaluation model is given, making the determination process of the reliability ability evaluation result clearer.

[0103] Based on the technical solutions of the above embodiments, this application also provides an alternative embodiment. In this alternative embodiment, the process of determining the initial score value of the enterprise to be detected according to the index data under the reliability evaluation index is refined.

[0104] See Figure 3A The initial score value determination steps shown in

[0105] S310A processes the index data under the reliability evaluation index based on a pre-trained scoring model to obtain the initial score value of the enterprise to be detected under the reliability evaluation index.

[0106] Specifically, input the index data under the corresponding reliability evaluation index into the scoring model to obtain the initial score value of the enterprise to be detected under the reliability evaluation index.

[0107] It can be understood that the training processes of the scoring models corresponding to different reliability evaluation indexes are different.

[0108] See Figure 3B The initial score value determination steps shown in

[0109] S310B processes the index data under the reliability evaluation index based on a preset scoring formula to obtain the initial score value of the enterprise to be detected under the reliability evaluation index.

[0110] Among them, the scoring model and the preset scoring formula are trained based on the index data and the corresponding preset score values of the sample enterprises under at least one reliability evaluation index.

[0111] Specifically, the index data under the corresponding reliability evaluation index can be numerically processed, and each numerical value is input into the preset scoring formula to obtain the initial score value of the enterprise to be detected under the corresponding reliability evaluation index.

[0112] It can be understood that the construction processes of the preset scoring formulas corresponding to different reliability evaluation indicators may be different.

[0113] In the above embodiments, various ways of determining the initial score values of the enterprise to be detected under different reliability evaluation indicators are given, making the determination process of the initial score values richer, further improving the accuracy of the initial score, and thus improving the accuracy of the reliability ability evaluation results.

[0114] Based on the technical solutions of the above embodiments, the present application also provides an alternative embodiment. In this alternative embodiment, a detailed introduction to the enterprise reliability ability evaluation method provided by the present application is given.

[0115] See Figure 4 The enterprise reliability ability evaluation method shown includes:

[0116] S410, obtaining the index data of the enterprise to be detected under at least one reliability evaluation indicator;

[0117] The reliability evaluation indicators include at least one of reliability-related work indicators, reliability matter management indicators, fault analysis indicators, and modeling allocation indicators;

[0118] S420, for any reliability evaluation indicator, determining the initial score value of the enterprise to be detected under the reliability evaluation indicator according to the index data under the reliability evaluation indicator;

[0119] Specifically, it includes at least one of the following:

[0120] Processing the index data under the reliability evaluation indicator based on a pre-trained scoring model to obtain the initial score value of the enterprise to be detected under the reliability evaluation indicator; processing the index data under the reliability evaluation indicator based on a preset scoring formula to obtain the initial score value of the enterprise to be detected under the reliability evaluation indicator; the scoring model and the preset scoring formula are trained based on the index data and the corresponding preset score values of the sample enterprises under at least one reliability evaluation indicator;

[0121] S430, for any reliability evaluation indicator, when the initial score value under the reliability evaluation indicator exceeds the balance point under the target reliability level, determining the preset result corresponding to the target reliability level as the reliability ability evaluation result corresponding to the enterprise to be detected under the reliability evaluation indicator;

[0122] Wherein, the target reliability level is the balance point with the highest value among the balance points exceeded by the initial score value;

[0123] S440. Determine the reliability ability evaluation result of the enterprise to be detected according to the reliability ability evaluation result corresponding to the enterprise to be detected under each reliability evaluation index and the weight coefficient corresponding to each reliability evaluation index.

[0124] It should be understood that although each step in the flowcharts involved in the above-described embodiments is displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in the sequence indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-described embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily executed at the same moment, but can be executed at different moments. The execution order of these steps or stages is not necessarily sequential, but can be executed alternately or in turn with at least a part of other steps or steps or stages in other steps.

[0125] Based on the same inventive concept, an embodiment of the present application also provides an enterprise reliability ability evaluation device for implementing the enterprise reliability ability evaluation method involved above. The solution provided by this device to solve the problem is similar to the solution described in the above method. Therefore, the specific limitations in one or more embodiments of the enterprise reliability ability evaluation device provided below can refer to the limitations on the enterprise reliability ability evaluation method in the above text, and will not be repeated here.

[0126] In an exemplary embodiment, as Figure 5 shown, an enterprise reliability ability evaluation device is provided, including: a data acquisition module 510, a first determination module 520, and a second determination module 530, where:

[0127] The data acquisition module 510 is configured to acquire index data of the enterprise to be detected under at least one reliability evaluation index; the reliability evaluation index includes at least one of the formulation of reliability work items, the management of the reliability work process, the control of suppliers, the construction of a fault review organization and the evaluation of fault analysis ability, the reliability management of critical parts, reliability modeling and allocation, fault tree analysis, the formulation of design criteria and their compliance review, simulation analysis and design, the conduct of reliability and environmental tests, and the evaluation and improvement of use reliability.

[0128] The first determination module 520 is configured to, for any reliability evaluation index, determine an initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index.

[0129] The second determination module 530 is configured to determine the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index.

[0130] In one embodiment, the second determination module 530 is specifically configured to input the initial score values of the enterprise to be detected under each reliability evaluation index into the reliability capability evaluation model to obtain the reliability capability evaluation result of the enterprise to be detected;

[0131] Wherein, the reliability capability evaluation model is trained based on the sample score values of the sample enterprises under each reliability evaluation index and the preset reliability capability evaluation labels of each sample enterprise.

[0132] In one embodiment, the reliability capability evaluation model is constructed based on a discrete neural network; the balance points of the reliability capability evaluation model at different reliability levels are determined according to the sample score values of the sample enterprises at least one reliability evaluation index at the corresponding reliability level; correspondingly, the second determination module 530 includes a first determination unit, configured to, for any reliability evaluation index, determine the reliability capability evaluation result corresponding to the enterprise to be detected under the reliability evaluation index according to the magnitude relationship between the initial score value under the reliability evaluation index and the balance points at different reliability levels; a second determination unit, configured to determine the reliability capability evaluation result of the enterprise to be detected according to the reliability capability evaluation results corresponding to the enterprise to be detected under each reliability evaluation index and the weight coefficients corresponding to each reliability evaluation index.

[0133] In one embodiment, the first determination unit is specifically configured to, when the initial score value under the reliability evaluation index exceeds the balance point at the target reliability level, determine the preset result corresponding to the target reliability level as the reliability capability evaluation result corresponding to the enterprise to be detected under the reliability evaluation index; wherein, the target reliability level is the balance point with the highest value among the balance points exceeded by the initial score value.

[0134] In one embodiment, the first determination module includes at least one of the following: a third determination unit, configured to process the index data under the reliability evaluation index based on a pre-trained score model to obtain the initial score value of the enterprise to be detected under the reliability evaluation index; a fourth determination unit, configured to process the index data under the reliability evaluation index based on a preset score formula to obtain the initial score value of the enterprise to be detected under the reliability evaluation index; the score model and the preset score formula are trained based on the index data of the sample enterprises under at least one reliability evaluation index and the corresponding preset score values.

[0135] Each module in the above enterprise reliability capability evaluation device can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor of the computer device in the form of hardware or independent of it, or stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above respective modules.

[0136] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in Figure 6 Figure [not shown]. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. Among them, the processor, the memory, and the input / output interface are connected through a system bus, and the communication interface, the display unit, and the input device are connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used for exchanging information between the processor and external devices. The communication interface of the computer device is used for communicating with external terminals in a wired or wireless manner. The wireless manner can be achieved through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, it implements an enterprise reliability capability evaluation method. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covered on the display screen, or a button, a trackball, or a touchpad provided on the computer device housing, or an external keyboard, touchpad, or mouse, etc.

[0137] Those skilled in the art can understand that Figure 6 the structure shown in [Figure not shown] is only a block diagram of some structures related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine some components, or have different component arrangements.

[0138] In an exemplary embodiment, a computer device is provided, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the following steps are implemented:

[0139] Obtain the index data of the enterprise to be detected under at least one reliability evaluation index; the reliability evaluation index includes at least one of the formulation of reliability work items, the management of the reliability work process, the control of suppliers, the construction of a fault review organization and the evaluation of fault analysis capabilities, the reliability management of key components, reliability modeling and allocation, fault tree analysis, the formulation of design guidelines and their compliance review, simulation analysis and design, carrying out reliability and environmental tests, and the evaluation and improvement of use reliability.

[0140] For any reliability evaluation index, according to the index data under the reliability evaluation index, determine the initial score value of the enterprise to be detected under the reliability evaluation index;

[0141] According to the initial score values of the enterprise to be detected under each reliability evaluation index, determine the reliability ability evaluation result of the enterprise to be detected.

[0142] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0143] Input the initial score values of the enterprise to be detected under each reliability evaluation index into the reliability ability evaluation model to obtain the reliability ability evaluation result of the enterprise to be detected;

[0144] Among them, the reliability ability evaluation model is trained based on the sample score values of the sample enterprises under each reliability evaluation index and the preset reliability ability evaluation labels of each sample enterprise.

[0145] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0146] For any reliability evaluation index, according to the magnitude relationship between the initial score value under the reliability evaluation index and the balance points under different reliability levels, determine the corresponding reliability ability evaluation result of the enterprise to be detected under the reliability evaluation index;

[0147] According to the corresponding reliability ability evaluation results of the enterprise to be detected under each reliability evaluation index and the weight coefficients corresponding to each reliability evaluation index, determine the reliability ability evaluation result of the enterprise to be detected.

[0148] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0149] When the initial score value under the reliability evaluation index exceeds the balance point under the target reliability level, determine that the preset result corresponding to the target reliability level is the corresponding reliability ability evaluation result of the enterprise to be detected under the reliability evaluation index; among them, the target reliability level is the balance point with the highest value among the balance points exceeded by the initial score value.

[0150] In one embodiment, when the processor executes the computer program, the following steps are further implemented:

[0151] Based on the pre-trained scoring model, process the index data under the reliability evaluation index to obtain the initial score value of the enterprise to be detected under the reliability evaluation index;

[0152] Based on a preset scoring formula, process the index data under the reliability evaluation index to obtain the initial score value of the enterprise to be detected under the reliability evaluation index;

[0153] The scoring model and the preset scoring formula are trained based on the index data of sample enterprises under at least one reliability evaluation index and the corresponding preset score values.

[0154] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0155] Obtain the index data of the enterprise to be detected under at least one reliability evaluation index; the reliability evaluation index includes at least one of the formulation of reliability work items, the management of the reliability work process, the control of suppliers, the construction of a fault review organization and the evaluation of fault analysis capabilities, the reliability management of key parts, reliability modeling and allocation, fault tree analysis, the formulation of design guidelines and their compliance review, simulation analysis and design, carrying out reliability and environmental tests, and the evaluation and improvement of operational reliability.

[0156] For any reliability evaluation index, determine the initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index;

[0157] According to the initial score values of the enterprise to be detected under each reliability evaluation index, determine the reliability ability evaluation result of the enterprise to be detected.

[0158] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

[0159] Input the initial score values of the enterprise to be detected under each reliability evaluation index into the reliability ability evaluation model to obtain the reliability ability evaluation result of the enterprise to be detected;

[0160] Wherein, the reliability ability evaluation model is trained based on the sample score values of sample enterprises under each reliability evaluation index and the preset reliability ability evaluation labels of each sample enterprise.

[0161] In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

[0162] For any reliability evaluation index, determine the corresponding reliability ability evaluation result of the enterprise to be detected under the reliability evaluation index according to the magnitude relationship between the initial score value under the reliability evaluation index and the balance points under different reliability levels;

[0163] Determine the reliability ability evaluation result of the enterprise to be detected according to the reliability ability evaluation results corresponding to the enterprise to be detected under each reliability evaluation index and the weight coefficients corresponding to each reliability evaluation index.

[0164] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0165] When the initial score value under the reliability evaluation index exceeds the balance point under the target reliability level, determine the preset result corresponding to the target reliability level as the reliability ability evaluation result corresponding to the enterprise to be detected under the reliability evaluation index; wherein, the target reliability level is the balance point with the highest value among the balance points exceeded by the initial score value.

[0166] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0167] Based on a pre-trained scoring model, process the index data under the reliability evaluation index to obtain the initial score value of the enterprise to be detected under the reliability evaluation index;

[0168] Based on a preset scoring formula, process the index data under the reliability evaluation index to obtain the initial score value of the enterprise to be detected under the reliability evaluation index;

[0169] The scoring model and the preset scoring formula are trained based on the index data and the corresponding preset score values of the sample enterprises under at least one reliability evaluation index.

[0170] In one embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0171] Obtain the index data of the enterprise to be detected under at least one reliability evaluation index; the reliability evaluation index includes at least one of the formulation of reliability work items, the management of the reliability work process, the control of suppliers, the construction of a fault review organization and the evaluation of fault analysis capabilities, the reliability management of critical parts, reliability modeling and allocation, fault tree analysis, the formulation of design criteria and their compliance review, simulation analysis and design, carrying out reliability and environmental tests, and the evaluation and improvement of operational reliability.

[0172] For any reliability evaluation index, determine the initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index;

[0173] Determine the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index.

[0174] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0175] Input the initial score values of the enterprise to be detected under each reliability evaluation index into the reliability ability evaluation model to obtain the reliability ability evaluation result of the enterprise to be detected;

[0176] Among them, the reliability ability evaluation model is trained based on the sample score values of the sample enterprises under each reliability evaluation index and the preset reliability ability evaluation labels of each sample enterprise.

[0177] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented:

[0178] For any reliability evaluation index, determine the reliability ability evaluation result corresponding to the enterprise to be detected under the reliability evaluation index according to the magnitude relationship between the initial score value under the reliability evaluation index and the balance points under different reliability levels;

[0179] Determine the reliability ability evaluation result of the enterprise to be detected according to the reliability ability evaluation results corresponding to the enterprise to be detected under each reliability evaluation index and the weight coefficients corresponding to each reliability evaluation index.

[0180] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented:

[0181] When the initial score value under the reliability evaluation index exceeds the balance point under the target reliability level, determine that the preset result corresponding to the target reliability level is the reliability ability evaluation result corresponding to the enterprise to be detected under the reliability evaluation index; among them, the target reliability level is the balance point with the highest value among the balance points exceeded by the initial score value.

[0182] In one embodiment, when the computer program is executed by the processor, the following steps are further implemented:

[0183] Based on the pre-trained scoring model, process the index data under the reliability evaluation index to obtain the initial score value of the enterprise to be detected under the reliability evaluation index;

[0184] Based on the preset scoring formula, process the index data under the reliability evaluation index to obtain the initial score value of the enterprise to be detected under the reliability evaluation index;

[0185] The scoring model and the preset scoring formula are trained based on the index data and the corresponding preset score values of the sample enterprises under at least one reliability evaluation index.

[0186] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc. The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, data processing logics based on quantum computing, artificial intelligence (AI) processors, etc., without limitation.

[0187] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in the present application.

[0188] The above embodiments only illustrate several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation to the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.

Claims

1. A method for evaluating the reliability ability of an enterprise, characterized in that The method includes: Obtaining the index data of the enterprise to be detected under at least one reliability evaluation index; For any reliability evaluation index, determining the initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index; Determining the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index.

2. The method according to claim 1, characterized in that, The determining the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each reliability evaluation index includes: Inputting the initial score values of the enterprise to be detected under each reliability evaluation index into a reliability ability evaluation model to obtain the reliability ability evaluation result of the enterprise to be detected; Wherein, the reliability ability evaluation model is trained based on the sample score values of the sample enterprises under each reliability evaluation index and the preset reliability ability evaluation labels of each sample enterprise.

3. The method according to claim 2, wherein The reliability ability evaluation model is constructed based on a discrete neural network; the balance points of the reliability ability evaluation model at different reliability levels are determined according to the sample score values of the sample enterprises under the at least one reliability evaluation index at the corresponding reliability levels; Correspondingly, the inputting the initial score values of the enterprise to be detected under each reliability evaluation index into a reliability ability evaluation model to obtain the reliability ability evaluation result of the enterprise to be detected includes: For any reliability evaluation index, determining the corresponding reliability ability evaluation result of the enterprise to be detected under the reliability evaluation index according to the magnitude relationship between the initial score value under the reliability evaluation index and the balance points at different reliability levels; Determining the reliability ability evaluation result of the enterprise to be detected according to the corresponding reliability ability evaluation results of the enterprise to be detected under each reliability evaluation index and the weight coefficients corresponding to each reliability evaluation index.

4. The method according to claim 3, wherein The determining the corresponding reliability ability evaluation result of the enterprise to be detected under the reliability evaluation index according to the magnitude relationship between the initial score value under the reliability evaluation index and the balance points at different reliability levels includes: When the initial score value under the reliability evaluation index exceeds the balance point at the target reliability level, determining the preset result corresponding to the target reliability level as the corresponding reliability ability evaluation result of the enterprise to be detected under the reliability evaluation index; wherein, the target reliability level is the balance point with the highest value among the balance points exceeded by the initial score value.

5. The method according to any one of claims 1-4, characterized in that, The reliability evaluation index includes at least one of the formulation of reliability work items, the management of the reliability work process, the control of suppliers, the construction of a fault review organization and the evaluation of fault analysis capabilities, the reliability management of critical components, reliability modeling and allocation, fault tree analysis, the formulation of design criteria and their compliance review, simulation analysis and design, the conduct of reliability and environmental tests, and the evaluation and improvement of operational reliability.

6. The method according to any one of claims 1-4, characterized in that, Determining an initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index includes at least one of the following: Processing the index data under the reliability evaluation index based on a pre-trained scoring model to obtain the initial score value of the enterprise to be detected under the reliability evaluation index; Processing the index data under the reliability evaluation index based on a preset scoring formula to obtain the initial score value of the enterprise to be detected under the reliability evaluation index; The scoring model and the preset scoring formula are trained based on the index data and corresponding preset score values of sample enterprises under at least one reliability evaluation index.

7. An enterprise reliability capability evaluation device, characterized in that, The device includes: A data acquisition module, configured to acquire index data of an enterprise to be detected under at least one reliability evaluation index; A first determination module, configured to, for any reliability evaluation index, determine the initial score value of the enterprise to be detected under the reliability evaluation index according to the index data under the reliability evaluation index; A second determination module, configured to determine the reliability ability evaluation result of the enterprise to be detected according to the initial score values of the enterprise to be detected under each of the reliability evaluation indexes.

8. A computer device, comprising a memory and a processor, the memory storing a computer program, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1-6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1-6 are implemented.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1-6 are implemented.

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