Expressway enterprise economic responsibility audit portrait generation method and system

Abstract

The invention discloses a highway enterprise economic responsibility audit portrait generation method and system. The method comprises the following steps: carrying out real-time data acquisition on a data source to obtain basic data; preprocessing the obtained basic data to obtain effective data; obtaining a portrait label according to the valid data and a pre-formed label system, the label description including an enterprise condition label system and a leader label system, each including a label and a label description; determining an initial label weight of each label in real time by adopting an expert questionnaire method; revising each initial label weight by adopting an analytic hierarchy process to form a label weight corresponding to each label; and forming an economic responsibility auditing portrait in real time according to the pre-formed label description, the valid data and the label weight. According to the method, the enterprise condition portrait label corresponding to the enterprise condition and the leader portrait label corresponding to the leader in the enterprise are respectively formed, so that the expressway enterprise economic responsibility audit portrait is respectively constructed from two aspects of people and affair.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a method and system for generating an economic responsibility audit portrait of a highway enterprise. Background Art

[0002] Audit profiling is a big data analysis technology used to analyze the behavior of audit objects. Compared with traditional auditing, big data audit analysis has the characteristics of a wide range of data and fewer time and space restrictions. Big data auditing can help auditors quickly locate audit risks and anomalies by building audit profiling and data mining, provide key audit lists and audit directions, and enable audit work to improve quality and efficiency.

[0003] At present, domestic and foreign scholars have achieved certain results in the relevant research on audit portraits, but there is still a lot of room for development in the application of audit portraits combined with specific case analysis, especially the research on economic responsibility audit portraits of highway enterprises is relatively small. Traditional economic responsibility audits are often concentrated in the financial field or certain specific areas, while highway enterprises have a wide range of business operations, long business chains, and large capital investments. Simple financial indicators are difficult to fully reflect the real situation, so it is necessary to establish and improve the economic responsibility audit evaluation index system to conduct a comprehensive evaluation of corporate economic responsibility. Summary of the invention

[0004] The embodiment of the present invention provides a method and system for generating an economic responsibility audit profile of a highway enterprise, so as to generate an economic responsibility audit profile of the highway enterprise.

[0005] According to a first aspect of the present invention, a method for generating an economic responsibility audit portrait of a highway enterprise is provided, comprising:

[0006] Conduct real-time data collection on data sources to obtain basic data;

[0007] Preprocess the acquired basic data to obtain valid data;

[0008] Obtaining portrait labels based on valid data and a pre-formed label system, wherein the label description includes an enterprise situation label system and a leading cadre label system, both of which include labels and label descriptions;

[0009] The expert questionnaire method is used to determine the initial label weight of each label in real time;

[0010] The analytic hierarchy process is used to revise the initial label weights to form the label weights corresponding to each label;

[0011] An economic responsibility audit profile is formed in real time based on pre-formed label descriptions, valid data and label weights.

[0012] The present invention first pre-processes the basic data obtained in real time from the data source, and then constructs a portrait label based on the pre-processed valid data obtained in real time, and respectively forms a portrait label of the enterprise situation corresponding to the enterprise situation and a portrait label of the leading cadres in the enterprise, so as to construct the economic responsibility audit portrait of the highway enterprise from the two aspects of "people" and "things". The economic responsibility audit portrait of the highway enterprise formed by the present invention can provide data support for the decision-making of economic responsibility auditors, improve the efficiency of audit work, and enhance the business management capabilities of the enterprise; at the same time, it promotes the transformation of internal audits of highway enterprises from ex post to in and ex ante, strengthens risk control and full process supervision, and promotes high-quality development of internal audits.

[0013] In some embodiments, the data sources include internal audit data, external data, and other data.

[0014] The internal audit data is derived from the financial sharing system, contract management system, human resources system, various business management systems and internal statistical report data;

[0015] The external data are derived from highway engineering laws and regulations, industrial and commercial information management systems, and highway engineering industry research reports;

[0016] The other data mentioned above are derived from third-party audit reports of highway project construction units and data related to highway projects on the Internet and social media.

[0017] Therefore, through such a design, internal audit data can effectively display the actual situation of current highway enterprises, while external data can provide portrait direction and standards for audit portraits. Other data can obtain the latest information on the industry to provide a reference for audit portraits. It is thus possible to combine data sources from multiple aspects and dimensions to form the basic data for constructing audit portraits, thereby improving the applicability and accuracy of the formed audit portraits.

[0018] In some embodiments, in the real-time data collection on the data source to obtain basic data, the data collection adopts at least one of ETL, SQL, and web crawler to collect data from the data source.

[0019] In some embodiments, the preprocessing of the acquired basic data to obtain valid data includes:

[0020] Performing data cleaning on the basic data to obtain first data, wherein the data cleaning includes performing data cleaning using at least one of PowerQuery, Tableau Prep, and OpenRefine;

[0021] The first data is standardized to obtain valid data.

[0022] In some implementations, obtaining a portrait label based on valid data and a pre-formed label system includes:

[0023] Classify valid data according to label descriptions in a pre-formed label system;

[0024] Perform statistical calculations on the valid data corresponding to the label description of the rule class to determine the portrait label corresponding to the label description of the rule class;

[0025] The valid data corresponding to the label description of the mining class is extracted and sorted to determine the portrait label corresponding to the label description of the mining class.

[0026] Therefore, through such settings, labels in the economic responsibility audit portrait of highway enterprises can be constructed in real time based on the data from the data source, so that accurate portrait labels can be formed for the audit portrait to better reflect the situation of the enterprise and the situation of leading cadres.

[0027] In some implementations, the real-time construction of the portrait tag based on the valid data further includes:

[0028] The formed portrait labels are stored in the database;

[0029] Use the data management platform DMP to continuously supplement, adjust and maintain portrait labels based on real-time changes in data sources.

[0030] Therefore, through such settings, the portrait labels can be supplemented, adjusted and maintained in real time, so that the audit portrait can change in real time according to changes in data sources, so as to constantly update the economic responsibility audit portrait of highway enterprises.

[0031] In some embodiments, the database is a MySQL database and / or an Oracle database.

[0032] In some embodiments, it further comprises:

[0033] Visual data is generated in real time based on the pre-formed label system and corresponding portrait labels.

[0034] Therefore, through such a setting, the enterprise situation or leading cadres can be presented in the form of visual data to better judge the enterprise situation or leading cadres.

[0035] In some implementations, the step of revising each tag weight using the hierarchical analysis method to form a tag weight corresponding to each tag includes:

[0036] A hierarchical structure model is established according to the levels of each label in the portrait label;

[0037] Construct a judgment matrix based on the initial label weights corresponding to each label in the portrait label;

[0038] The evaluation label weights are calculated according to the judgment matrix, and a consistency check is performed based on the calculation results. The label weights are corrected based on the consistency check results.

[0039] Therefore, through such a setting, the accuracy of the weight of each label in the portrait label can be improved, thereby improving the accuracy when forming the audit portrait.

[0040] In some embodiments, when the visual data is formed in real time according to the portrait tags and the tag weights of each tag in the portrait tags, Tableau and Power BI are used for analysis to form a visual data display.

[0041] According to a second aspect of the present invention, a highway enterprise economic responsibility audit portrait generation system is provided, comprising:

[0042] The data acquisition module is used to collect data from data sources in real time to obtain basic data;

[0043] The data preprocessing module is used to preprocess the acquired basic data to obtain valid data;

[0044] A label construction module is used to obtain a portrait label based on valid data and a pre-formed label system, wherein the label description includes an enterprise situation label system and a leading cadre label system, both of which include labels and label descriptions;

[0045] The weight construction module is used to revise the weight of each label using the hierarchical analysis method to form the label weight corresponding to each label;

[0046] A visualization module, used to generate visualization data in real time according to the portrait tags and the tag weights of each tag in the portrait tags;

[0047] The portrait construction module is used to form an economic responsibility audit portrait in real time based on the pre-formed label system, valid data and label weights. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying any creative work.

[0049] Figure 1 It is an overall flow chart of a method for generating an economic responsibility audit portrait of a highway enterprise according to an embodiment of the present invention;

[0050] Figure 2 This is a flowchart of step S12 in a method for generating an economic responsibility audit portrait of a highway enterprise according to an embodiment of the present invention;

[0051] Figure 3 This is a flowchart of step S13 in the method for generating an economic responsibility audit portrait of a highway enterprise according to an embodiment of the present invention;

[0052] Figure 4 It is a flowchart of step S13 in the method for generating an economic responsibility audit portrait of a highway enterprise according to another embodiment of the present invention;

[0053] Figure 5 A schematic diagram of labels for portraits of leading cadres constructed in a method for generating portraits of economic responsibility audits of expressway enterprises according to an embodiment of the present invention;

[0054] Figure 6 It is a schematic diagram of enterprise situation portrait labels constructed in a method for generating an economic responsibility audit portrait of a highway enterprise according to an embodiment of the present invention;

[0055] Figure 7 This is a flowchart of step S15 in the method for generating an economic responsibility audit portrait of a highway enterprise according to an embodiment of the present invention;

[0056] Figure 8 It is a flowchart of the overall construction of the economic responsibility audit portrait of the expressway enterprise of the present invention;

[0057] Fig. 9 It is a principle block diagram of a highway enterprise economic responsibility audit portrait generation system according to one embodiment of the present invention;

[0058] Fig.10 A schematic structural diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application may be combined with each other.

[0061] The present invention may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present invention may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communications network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0062] In the present invention, "module", "device", "system" and the like refer to related entities applied to computers, such as hardware, a combination of hardware and software, software or software in execution, etc. In detail, for example, an element can be, but is not limited to, a process, a processor, an object, an executable element, an execution thread, a program and / or a computer running on a processor. In addition, an application or script program running on a server, a server can all be an element. One or more elements can be in an execution process and / or thread, and an element can be localized on a computer and / or distributed between two or more computers, and can be operated by various computer-readable media. An element can also communicate through local and / or remote processes according to a signal with one or more data packets, for example, a signal from a data that interacts with another element in a local system, a distributed system, and / or a network on the Internet through a signal to interact with other systems.

[0063] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include" and "comprise" include not only those elements, but also other elements that are not explicitly listed, or also include elements inherent to such processes, methods, articles or equipment. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the existence of other identical elements in the process, method, article or equipment that includes the elements.

[0064] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0065] Figure 1 The overall process of the method for generating an economic responsibility audit profile of a highway enterprise according to an embodiment of the present invention is schematically shown. Figure 1 As shown, the method for generating an economic responsibility audit portrait of a highway enterprise of the present invention comprises the following steps:

[0066] Step S11: collect data from data sources in real time to obtain basic data;

[0067] Step S12: pre-processing the acquired basic data to obtain valid data;

[0068] Step S13: Obtaining a portrait label based on valid data and a pre-formed label system, wherein the label description includes an enterprise situation label system and a leader label system, both of which include labels and label descriptions;

[0069] Step S14: using an expert questionnaire method to determine the initial tag weight of each tag in real time;

[0070] Step S15: using the hierarchical analysis method to revise the weights of each tag to form a tag weight corresponding to each tag;

[0071] Step S16: Generate an economic responsibility audit portrait in real time based on the pre-formed label system, valid data and label weights.

[0072] In step S11, firstly, basic data for forming the economic responsibility audit portrait of expressway enterprises need to be obtained, and these basic data determine the accuracy of the audit portrait finally formed. In the present invention, when obtaining basic data for forming the economic responsibility audit portrait of expressway enterprises, its data source needs to be sorted and designed.

[0073] Specifically, the data sources include internal audit data, external data and other data. Among them, internal audit data comes from financial sharing systems, contract management systems, human resources systems, various business management systems and internal statistical report data; external data comes from highway engineering laws and regulations, industrial and commercial information management systems and highway engineering industry research reports; other data comes from third-party audit reports of highway engineering construction units and data related to highway engineering on the Internet and social media. Therefore, internal audit data can effectively show the actual situation of current highway enterprises, thus providing a data basis for the economic responsibility audit portrait of highway enterprises. External data can provide the main portrait direction and standards for audit portraits, so as to better determine the target direction of audit portraits. Other data can obtain information on the latest industry conditions, and combined with the audit report content of other companies in the industry, it can further assist in locating the portrait direction, making the final audit portrait more applicable and accurate.

[0074] When collecting data from data sources, the data collection method can be implemented by using at least one of ETL, SQL and web crawlers. ETL is an important concept in data warehouse technology, which stands for the three processes of extraction, transformation and loading; SQL (Structured Query Language) is a programming language used to manage and operate relational databases. It is widely used for data query, insertion, update and deletion operations; Web crawlers (Web Crawler), also known as web spiders (Spider) or web robots (Web Robot), are automated programs used to browse web pages on the Internet and collect information. Therefore, through the above methods, data can be effectively collected from data sources in real time to form basic data.

[0075] It is understandable that the above data sources are not static, and therefore when obtaining basic data, it is necessary to obtain it in real time so that the obtained basic data can be updated in real time, so that the formed audit portrait can be updated in real time, so as to be able to supervise the situation of highway enterprises in real time.

[0076] After the basic data is obtained in step S11, step S12 can be executed to pre-process the obtained basic data. It is understandable that the basic data obtained from the above data sources are very numerous, and there will be a lot of data content that is irrelevant to the economic responsibility audit portrait of the highway enterprise to be formed, so it is necessary to pre-process the basic data obtained to filter out valid data. Figure 2 The process flow of step S12 in the method for generating an economic responsibility audit profile of a highway enterprise according to an embodiment of the present invention is schematically shown. Figure 2 As shown, it can be specifically implemented by including the following steps:

[0077] Step S21: performing data cleaning on the basic data to obtain first data, wherein the data cleaning includes using at least one of Power Query, Tableau Prep and OpenRefine to perform data cleaning;

[0078] Step S22: Standardize the first data to obtain valid data.

[0079] Reference Figure 2As shown, the preprocessing of basic data mainly includes two steps: data cleaning and standardization. Step S21, when cleaning the basic data, Power Query, Tableau Prep and OpenRefine are used for data cleaning. Power Query is a data connection and data conversion tool developed by Microsoft, which is integrated in Excel, Power BI and SQL Server Analysis Services. The main function of Power Query is to help users import data from various data sources, and clean, convert and organize it for further analysis and reporting; Tableau Prep is a data preparation tool developed by Tableau, which is designed to help users easily merge, adjust and clean data for analysis in Tableau; OpenRefine is a free and open source data cleaning and conversion tool, which is designed for processing disorganized data and helps users clean, convert and expand data. Through the above methods, the basic data obtained in step S11 can be cleaned to obtain the first data. Specifically, the first data is the data required to form an economic responsibility audit profile of a highway enterprise. However, since these first data come from different sources, they are difficult to use directly. Therefore, it is necessary to further perform step S22 to standardize the first data to form valid data.

[0080] After obtaining valid data, step S13 can be executed to obtain the portrait label according to the valid data and the pre-formed label system. Among them, in the present invention, the formed highway enterprise economic responsibility audit portrait includes two aspects, one is "people", that is, the audit portrait of the leading cadres in the highway enterprise, and the other is "things", that is, the audit portrait of the enterprise situation in the highway enterprise. The pre-formed label system includes labels and label descriptions. The label is a dimension used to represent the enterprise situation or the situation of the leading cadres. The label description is one or more descriptions used to represent the label. For example, for the "leadership ability" label, its label description includes: "team collaboration efficiency", "resource allocation ability", "problem solving ability", "risk prevention and control ability", and "leadership evaluation". These pre-formed label systems are determined by experts and others for the audit business scenarios of highway enterprises. The obtained portrait label is the label value corresponding to each label description of each label. In step S13, the constructed label system includes an enterprise situation label system and a leading cadre label system. Specifically, the enterprise situation label system and the leading cadre label system both contain at least two levels of labels, namely, a primary label and a secondary label. There is at least one first-level tag, and each first-level tag corresponds to at least one second-level tag, so that the effective data can be sorted by tags in a hierarchical manner.

[0081] Figure 3 The process flow of step S13 in the method for generating an economic responsibility audit portrait of a highway enterprise according to an embodiment of the present invention is schematically shown. Figure 3 As shown, the process can be specifically implemented as including the following steps:

[0082] Step S31: classifying valid data according to label descriptions in a pre-formed label system;

[0083] Step S32: Statistically calculate the valid data corresponding to the label description of the rule class to determine the portrait label corresponding to the label description of the rule class;

[0084] Step S33: extract and organize the valid data corresponding to the label description of the mining class to determine the portrait label corresponding to the label description of the mining class.

[0085] In step S31, firstly, the valid data is classified according to each label description in the label system. It is understandable that the valid data contains data corresponding to each label, but these valid data cannot correspond to each label, so it is necessary to first classify according to each label description in the label system. Among them, the labels in the label system at least include rule class and mining class. Step S32 is a step of determining the portrait label of the label description of the rule class label. Specifically, when determining the portrait label of the label description of the rule class label, the valid data corresponding to the relevant label description can be statistically calculated to determine the portrait labels corresponding to these label descriptions. For example, when determining the portrait label of the "medium difficulty project" label description in the "project difficulty" label, the valid data related to the project of the leader in the valid data can be statistically calculated to determine the number of medium difficulty projects handled by the leader, thereby determining the portrait label. There is no step of determining the portrait label of the label description of the mining class label in S33. Specifically, when determining the portrait label of the label description of the mining class label, the valid data corresponding to the relevant label description can be extracted and sorted to determine the portrait labels corresponding to these labels. For example, when determining the portrait label described in the "Personal Occupational Risk" label in the "Leadership Cadre Credit Information" label, valid data related to the leader's personal occupational situation in the valid data can be extracted and sorted to extract key data, so as to further judge the leader's personal occupational risk and form a portrait label.

[0086] In some possible implementations, due to real-time changes in data sources, the effective data used to form portrait tags also change in real time. Therefore, portrait tags also need to be supplemented, adjusted and maintained in real time according to actual changes. Figure 4The step flow of step S13 in the method for generating an economic responsibility audit portrait of a highway enterprise according to another embodiment of the present invention is schematically shown. Figure 4 As shown, compared with the step flow of step S13 in the above embodiment, the process further includes the following steps:

[0087] Step S34: storing the formed portrait label in a database;

[0088] Step S35: Use the data management platform DMP to continuously supplement, adjust and maintain portrait labels based on real-time changes in data sources.

[0089] In step S34, after the portrait tag is formed, the formed portrait tag is stored for easy calling and management. Specifically, the portrait tag can be stored and managed using a MySQL database and / or an Oracle database. Afterwards, step S35 is executed to continuously supplement, adjust and maintain the portrait tag according to the real-time changes of the data source. Specifically, when the portrait tag is supplemented, adjusted and maintained in real time according to the actual changes, the data management platform DMP can be used to achieve it.

[0090] Specifically, refer to Figure 5 and Figure 6 As shown, Figure 5 and Figure 6 The leader label system and enterprise status label system constructed in one embodiment of the present invention are shown. Figure 5 It is a label system for leading cadres, which includes two levels of labels, including 4 first-level labels and 13 second-level labels. For specific labels, please refer to Figure 5 The contents are not listed here. Figure 6 It is a corporate labeling system, which includes two levels of labels, including 18 primary labels and 49 secondary labels. For specific labels, please refer to Figure 5 The contents are not listed here.

[0091] After step S13, step S14 and step S15 are executed to confirm the weight of the formed portrait label. First, step S14 is executed. Step S14 is to use the expert questionnaire method to first determine the initial label weight corresponding to each label. The expert questionnaire method, also known as the Delphi Method, is a qualitative prediction method that solicits expert opinions according to a certain procedure. Specifically, in this embodiment, the expert questionnaire method used can be a weight model that can simulate the weights given by experts in the highway field by training the neural network model to achieve a preliminary determination of the weights, thereby obtaining the initial label weights. Among them, during training, the neural network model can use the relevant content of the third-party audit report in other data in the data source as a training data set to train the neural network model, thereby forming a weight model to determine the initial label weights for each label.

[0092] After the initial tag weights of each tag are determined, step S15 is executed to revise each initial tag weight using the hierarchical analysis method to form a tag weight corresponding to each tag. Figure 7 The process flow of step S15 in the method for generating an economic responsibility audit profile of a highway enterprise according to an embodiment of the present invention is schematically shown. Figure 7 As shown, step S15 in the present invention can be specifically implemented as including the following steps:

[0093] Step S41: establishing a hierarchical structure model according to the levels of each label in the portrait label;

[0094] Step S42: constructing a judgment matrix according to the initial label weights corresponding to each label in the portrait label;

[0095] Step S43: extract and organize the valid data corresponding to the label description of the mining class to determine the portrait label corresponding to the label description of the mining class.

[0096] In step S41, a hierarchical structure model is first established. Specifically, the label weight evaluation index system is divided into three levels, with the enterprise situation audit portrait and the leadership audit portrait in the economic responsibility audit portrait of the expressway enterprise as the target layer, the first-level label as the criterion layer, and the corresponding indicator layer (i.e., the second-level label) is established under each criterion layer.

[0097] Then, step S42 is executed to construct a judgment matrix. Specifically, the matrix is ​​recorded as W=W n×n , the matrix element is recorded as w ij , and satisfies w ij =1 / w ji , the matrix is ​​as follows:

[0098]

[0099] w ij (i=1,2,......,n), (j=1,2,......,n), w ij =w i / w j , indicating w i Relative to w j When constructing a judgment matrix, it is necessary to construct judgment matrices for both the primary label and the secondary label.

[0100] Then, step S43 is executed to calculate the evaluation label weight. Specifically, the maximum eigenvector of the judgment matrix needs to be calculated. First, the product of each row of elements in the judgment matrix is ​​obtained and then the product is taken to the nth power (n is the number of elements in each row), and the vector M is obtained. j1 , then for the vector M j1 Normalization is performed to obtain the standardized vector P j1 , P j1 =(P1,P2,......,P n ) T .

[0101] Finally, a consistency test is performed. In order to ensure the scientific nature of the label weight system and the rationality of the judgment matrix, a consistency test is required. Let the consistency index result be CI and the random consistency index result be RI. The calculation of CI is as follows:

[0102]

[0103] Among them, λ max is the maximum eigenvalue of the judgment matrix, n is the order of the judgment matrix, and the value of RI can be obtained by looking up the order of the judgment matrix. Finally, calculate CR = CI / RI. When CR < 0.1, it means that the judgment matrix passes the consistency test, that is, the hierarchical analysis is appropriate.

[0104] After completing the confirmation of the label weights of each label in the portrait label, step S16 can be executed to integrate the pre-formed label system, valid data and label weights to generate an economic responsibility audit portrait, and then use the information fed back by the portrait to adjust and improve the label library. Explore the integration point of portrait technology and audit business, and after fully considering the specific application scenarios and audit concerns of the economic responsibility audit portrait of highway enterprises, establish economic responsibility audit model indicators to achieve audit portraits of "people" (leading cadres) and "things" (economic responsibility audit matters).

[0105] In some possible implementations, visual data can also be generated in real time based on the pre-formed tag system and the corresponding portrait tags. Specifically, tools such as Tableau, Power BI, and FineVis can be used for analysis, and visualization methods such as word cloud maps, radar maps, and knowledge graphs can be selected for display.

[0106] Figure 8 The overall construction process of the highway enterprise economic responsibility audit portrait of the present invention is schematically shown. Figure 8 As shown, first determine the data source, then manage the data at the data source to collect data from the data source, clean and standardize the collected basic data, and then build the portrait label. Label construction includes label design, label generation, label storage and label management. Then, select the weight of each label. The expert questionnaire method and hierarchical analysis method are used for weight selection. Then, data visualization is performed according to the portrait labels and their weights. Finally, an audit portrait is constructed and applied to the enterprise.

[0107] The highway enterprise economic responsibility audit portrait formed by the present invention can be applied to compliance inspection, risk warning and assessment, project monitoring and assessment, decision support, audit resource allocation optimization and other aspects according to the audit type requirements. By combining the potential risk points of internal control and risk control, from multiple perspectives such as scenario analysis, processing strategy, and implementation process, a label portrait library covering label library, portrait library and application scenario design is constructed to facilitate the wide application of audit results and realize the supervision, review and evaluation of the fulfillment of the economic responsibility of highway enterprises.

[0108] The highway enterprise economic responsibility audit portrait formed by the present invention can optimize the audit work mode and enhance the audit work effect through the following aspects:

[0109] First, accurately grasp the new positioning of economic responsibility audits. Determine the key audit content, focus on major national policies, examine the risk points and weaknesses of enterprise management from the perspective of major decisions, attach importance to the analysis of common problems, pay attention to the main business and responsibilities of enterprises, reveal the problems in investment, construction and operation in their business areas, and promote the improvement of the efficiency of solving and rectifying audit problems.

[0110] Second, improve the accuracy of audit portraits through big data technology. Enterprise audits involve a lot of content and a wide range. Traditional audit methods are inefficient and difficult to meet the needs of the actual situation. Big data analysis technology can collect, process and analyze massive amounts of data, go deep into various key audit areas, and make a three-dimensional portrayal of matters from an overall perspective. It can also conduct comparative analysis of the same industry, organically combine historical data with the overall development of the enterprise, and enhance the pertinence and effectiveness of economic responsibility audit portraits.

[0111] Third, the evaluation system is set up in a personalized way according to the characteristics of the audited enterprises. Through big data analysis, the labels of different enterprise objects are classified and summarized, and common and individual indicators are extracted, while paying attention to authenticity, legality and effectiveness. The fundamental purpose of economic responsibility audit is audit evaluation, and audit evaluation determines the effectiveness of audit work. At the same time, individual and common indicators are used to make audit evaluation more accurate and comprehensive.

[0112] Fourth, promote cross-departmental data sharing and cooperation. Promote the establishment of a cross-departmental data sharing mechanism, strengthen multi-departmental communication and cooperation, regularly exchange and share data resources, expand the coverage of audit clue resources, conduct data correlation comparison and analysis from a multi-dimensional perspective, form a supervisory synergy, screen risk anomalies, and improve the efficiency of problem discovery and investigation. At the same time, establish a linkage mechanism with external supervisory agencies and disciplinary inspection and supervision agencies, make full use of the resources and professional advantages of all parties, jointly study solutions and rectification strategies, and form a centralized, unified, comprehensive, authoritative and efficient audit supervision system.

[0113] Fig. 9 The principle block diagram of the highway enterprise economic responsibility audit portrait generation system according to one embodiment of the present invention is schematically shown. Fig. 9 As shown, the highway enterprise economic responsibility audit portrait generation system of the present invention includes:

[0114] Data acquisition module 1, used for real-time data collection of data sources to obtain basic data;

[0115] Data preprocessing module 2, used to preprocess the acquired basic data to obtain valid data;

[0116] The label construction module 3 is used to obtain the portrait label according to the valid data and the pre-formed label system, wherein the label description includes the enterprise situation label system and the leading cadre label system, both of which include labels and label descriptions;

[0117] The weight construction module 4 is used to revise the weight of each label by using the hierarchical analysis method to form the label weight corresponding to each label;

[0118] The portrait construction module 5 is used to form an economic responsibility audit portrait in real time based on a pre-formed label system, valid data and label weights.

[0119] It should be noted that the implementation process and implementation principle of the highway enterprise economic responsibility audit portrait generation system of the embodiment of the present invention can be specifically referred to the corresponding description of the above method embodiment, such as the corresponding description of data collection, label construction and weight determination in the method embodiment, so they are not repeated here. Exemplarily, the highway enterprise economic responsibility audit portrait generation system of the embodiment of the present invention can be applied to any intelligent device with a processor, including but not limited to computers, smart phones, personal computers, robots, cloud servers, etc.

[0120] In some embodiments, an embodiment of the present invention provides a non-volatile computer-readable storage medium, which stores one or more programs including execution instructions, and the execution instructions can be read and executed by electronic devices (including but not limited to computers, servers, or network devices, etc.) to execute the method for generating an economic responsibility audit portrait of a highway enterprise according to any of the above embodiments of the present invention.

[0121] In some embodiments, an embodiment of the present invention also provides a computer program product, which includes a computer program stored on a non-volatile computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the method for generating an economic responsibility audit portrait of a highway enterprise according to any one of the above-mentioned embodiments.

[0122] In some embodiments, an embodiment of the present invention also provides an electronic device, comprising: at least one processor, and a memory communicatively connected to the at least one processor, wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for generating an economic responsibility audit portrait of a highway enterprise of any of the above embodiments.

[0123] In some embodiments, an embodiment of the present invention further provides a storage medium having a computer program stored thereon, characterized in that when the program is executed by a processor, the method for generating an economic responsibility audit portrait of a highway enterprise of any of the above-mentioned embodiments is implemented.

[0124] Fig.10 : is a hardware structure diagram of an electronic device for executing a method for generating an economic responsibility audit profile of a highway enterprise provided by another embodiment of the present application, such as Fig.10 As shown, the device includes:

[0125] One or more processors 710 and memory 720, Fig.10 A processor 710 is taken as an example.

[0126] The device for executing the method for generating a highway enterprise economic responsibility audit portrait may also include: an input device 730 and an output device 740.

[0127] The processor 710, the memory 720, the input device 730 and the output device 740 may be connected via a bus or other means. Fig.10 The example of connecting through bus is taken in the following.

[0128] The memory 720, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules corresponding to the method for generating an economic responsibility audit profile of a highway enterprise in the embodiment of the present application. The processor 710 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions and modules stored in the memory 720, that is, the method for generating an economic responsibility audit profile of a highway enterprise in the above method embodiment is implemented.

[0129] The memory 720 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and an application required by at least one function; the data storage area may store data created according to the use of the highway enterprise economic responsibility audit portrait generation method, etc. In addition, the memory 720 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 720 may optionally include a memory remotely arranged relative to the processor 710, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0130] The input device 730 may receive input digital or character information and generate signals related to user settings and function control of the image processing device. The output device 740 may include a display device such as a display screen.

[0131] The one or more modules are stored in the memory 720, and when executed by the one or more processors 710, the method for generating an economic responsibility audit portrait of a highway enterprise in any of the above-mentioned method embodiments is executed.

[0132] The above-mentioned product can execute the method provided in the embodiment of the present application, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not fully described in this embodiment, please refer to the method provided in the embodiment of the present application.

[0133] The electronic devices of the embodiments of the present application exist in various forms, including but not limited to:

[0134] (1) Mobile communication devices: These devices are characterized by their mobile communication functions and their main purpose is to provide voice and data communications. These terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones.

[0135] (2) Ultra-mobile personal computer devices: These devices fall into the category of personal computers, have computing and processing capabilities, and generally also have mobile Internet access features. These terminals include: PDA, MID and UMPC devices, such as iPad.

[0136] (3) Portable entertainment devices: These devices can display and play multimedia content. They include audio and video players (such as iPods), handheld game consoles, e-books, as well as smart toys and portable car navigation devices.

[0137] (4) Server: A device that provides computing services. The server consists of a processor, hard disk, memory, system bus, etc. The server is similar to a general computer architecture, but because it needs to provide highly reliable services, it has higher requirements in terms of processing power, stability, reliability, security, scalability, and manageability.

[0138] (5) Other electronic devices with data interaction functions.

[0139] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0140] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a general hardware platform, and of course, by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0141] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for generating an economic responsibility audit profile of a highway enterprise, characterized in that: include: Conduct real-time data collection on data sources to obtain basic data; Preprocess the acquired basic data to obtain valid data; Obtaining portrait labels based on valid data and a pre-formed label system, wherein the label description includes an enterprise situation label system and a leading cadre label system, both of which include labels and label descriptions; The expert questionnaire method is used to determine the initial label weight of each label in real time; The analytic hierarchy process is used to revise the initial label weights to form the label weights corresponding to each label; An economic responsibility audit portrait is formed in real time based on the pre-formed label system, valid data and label weights.

2. The method for generating an economic responsibility audit portrait of a highway enterprise according to claim 1 is characterized in that: The data sources include internal audit data, external data and other data. The internal audit data is derived from the financial sharing system, contract management system, human resources system, various business management systems and internal statistical report data; The external data are derived from highway engineering laws and regulations, industrial and commercial information management systems, and highway engineering industry research reports; The other data mentioned above are derived from third-party audit reports of highway project construction units and data related to highway projects on the Internet and social media.

3. The method for generating an economic responsibility audit profile of a highway enterprise according to claim 1 is characterized in that: In the real-time data collection on the data source to obtain basic data, the data collection adopts at least one of ETL, SQL, and web crawler to collect data from the data source.

4. The method for generating a highway enterprise economic responsibility audit portrait according to claim 1 is characterized in that: The obtained basic data is preprocessed to obtain valid data, including: Performing data cleaning on the basic data to obtain first data, wherein the data cleaning includes performing data cleaning using at least one of Power Query, Tableau Prep, and OpenRefine; The first data is standardized to obtain valid data.

5. The method for generating a highway enterprise economic responsibility audit portrait according to claim 1 is characterized in that: The obtaining of the image label according to the valid data and the pre-formed label system includes: Classify valid data according to label descriptions in a pre-formed label system; Perform statistical calculations on the valid data corresponding to the label description of the rule class to determine the portrait label corresponding to the label description of the rule class; The valid data corresponding to the label description of the mining class is extracted and sorted to determine the portrait label corresponding to the label description of the mining class.

6. The method for generating a highway enterprise economic responsibility audit portrait according to claim 5 is characterized in that: The step of obtaining the image label according to the valid data and the pre-formed label system also includes: The formed portrait labels are stored in the database; Use the data management platform DMP to continuously supplement, adjust and maintain portrait labels based on real-time changes in data sources.

7. The method for generating a highway enterprise economic responsibility audit portrait according to claim 6 is characterized in that: Also includes: Visual data is generated in real time based on the pre-formed label system and corresponding portrait labels.

8. The method for generating an economic responsibility audit portrait of a highway enterprise according to claim 1 is characterized in that: The method of using the hierarchical analysis method to revise the initial label weights to form label weights corresponding to each label includes: A hierarchical structure model is established according to the levels of each label in the portrait label; Construct a judgment matrix based on the initial label weights corresponding to each label in the portrait label; The evaluation label weights are calculated according to the judgment matrix, and a consistency check is performed based on the calculation results. The label weights are corrected based on the consistency check results.

9. The method for generating a highway enterprise economic responsibility audit portrait according to claim 1 is characterized in that: When the visual data is formed in real time according to the portrait tags and the tag weights of each tag in the portrait tags, Tableau and Power BI are used for analysis to form a visual data display.

10. A highway enterprise economic responsibility audit portrait generation system, characterized in that: include: The data acquisition module is used to collect data from data sources in real time to obtain basic data; The data preprocessing module is used to preprocess the acquired basic data to obtain valid data; A label construction module is used to obtain a portrait label based on valid data and a pre-formed label system, wherein the label description includes an enterprise situation label system and a leading cadre label system, both of which include labels and label descriptions; The weight construction module is used to revise the weight of each label using the hierarchical analysis method to form the label weight corresponding to each label; The portrait construction module is used to form an economic responsibility audit portrait in real time based on the pre-formed label system, valid data and label weights.

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