CN112381458A - Project evaluation method, project evaluation device, equipment and storage medium - Google Patents
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Abstract
The application relates to the technical field of natural language processing, and particularly discloses a project review method, a project review device, equipment and a storage medium, wherein the method comprises the following steps: acquiring index parameters corresponding to the project application scale of a project text to be reviewed, wherein the index parameters comprise scale categories and scale indexes; determining a corresponding standard book and an index scale regulation form according to the scale category, and recognizing the index scale regulation form through an OCR technology to obtain form data; performing clustering analysis on the table data to obtain scale category data; fitting and generating a calculation formula of the scale index according to the scale category data; and determining whether the scale index corresponding to the project application scale of the project text to be reviewed meets the standard or not according to the calculation formula, aiming at solving the problems of dependence on manual operation, high cost and low efficiency of the current project review and improving the experience of users.
Description
Technical Field
The present application relates to the field of natural language processing technologies, and in particular, to a project review method, a project review device, a project review apparatus, and a storage medium.
Background
Currently, project review is to review the application scale of the project to be reviewed, i.e., to determine whether the application scale is within the national standard. In the traditional scale index check, the project scale and the investment calculation table are manually reviewed, the corresponding index specified range in the national standard specification (book) is reviewed according to the category and index name of each scale index in the project, and whether the scale indexes in the project scale and the investment calculation table are in accordance with each other is judged. The traditional auditing method depends on manual operation, faces a large number of indexes of projects in different fields, is high in cost, and further reduces the processing speed due to high requirement on accuracy.
Disclosure of Invention
The application provides a project review method, a project review device, equipment and a storage medium, and aims to solve the problems that the project review depends on manual operation, the cost is high and the efficiency is low at present.
To achieve the above object, the present application provides a project review method, including:
acquiring index parameters corresponding to the project application scale of a project text to be reviewed, wherein the index parameters comprise scale categories and scale indexes;
determining a corresponding standard book and an index scale regulation form according to the scale category, and recognizing the index scale regulation form through an OCR technology to obtain form data;
performing clustering analysis on the table data to obtain scale category data;
fitting and generating a calculation formula of the scale index according to the scale category data;
and determining whether the scale index corresponding to the project application scale of the project text to be reviewed meets the standard or not according to the calculation formula.
To achieve the above object, the present application also provides a project review device, including:
the system comprises a parameter acquisition module, a parameter analysis module and a parameter analysis module, wherein the parameter acquisition module is used for acquiring index parameters corresponding to the project application scale of a project text to be reviewed, and the index parameters comprise scale categories and scale indexes;
the table identification module is used for determining a corresponding standard book and an index scale regulation table according to the scale category, and identifying the index scale regulation table through an OCR technology to obtain table data;
the cluster analysis module is used for carrying out cluster analysis on the form data to obtain scale category data;
the formula determining module is used for generating a calculation formula of the scale index according to the scale category data in a fitting mode;
and the comparison feedback module is used for determining whether the scale index corresponding to the project application scale of the project text to be reviewed meets the standard or not according to the calculation formula.
In addition, to achieve the above object, the present application also provides a computer device comprising a memory and a processor; the memory for storing a computer program; the processor is configured to execute the computer program and implement the project review method according to any one of the embodiments of the present application when executing the computer program.
In addition, to achieve the above object, the present application further provides a computer-readable storage medium storing a computer program, which when executed by a processor causes the processor to implement the project review method according to any one of the embodiments of the present application.
According to the project evaluation method, the project evaluation device, the equipment and the storage medium, OCR technology recognition is carried out on an index scale specified table of a standard specification book, a calculation formula of a scale index is generated, and the scale index is substituted into the calculation formula to determine whether the scale index meets the standard or not. The intelligent project review is realized, the problem of complexity in manual operation is solved, the cost is reduced, the accuracy and the efficiency are improved, and the user experience is greatly improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart diagram illustrating a project review method provided by an embodiment of the present application;
FIG. 2 is a flow chart illustrating a sub-step of determining whether a table header exists in table data according to an embodiment of the present application;
FIG. 3 is a flow chart illustrating a sub-step of determining whether an index size specification table is a page-crossing table according to an embodiment of the present application;
FIG. 4 is a schematic flow chart illustrating a sub-step of determining whether the size indicator matches the size indicator of the specified table according to an embodiment of the present application;
FIG. 5 is a schematic block diagram of a project review device provided by an embodiment of the present application;
fig. 6 is a schematic block diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The flow diagrams depicted in the figures are merely illustrative and do not necessarily include all of the elements and operations/steps, nor do they necessarily have to be performed in the order depicted. For example, some operations/steps may be decomposed, combined or partially combined, so that the actual execution sequence may be changed according to the actual situation. In addition, although the division of the functional blocks is made in the device diagram, in some cases, it may be divided in blocks different from those in the device diagram.
The term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Currently, in the conventional scale index review, the project scale and the investment accounting table are manually reviewed, a corresponding index specified range in a national standard (book) is consulted according to the category and index name of each scale index in the project, and whether the scale indexes in the project scale and the investment accounting table are in accordance with each other is judged. The traditional auditing method depends on manual operation, and is high in cost, low in efficiency and speed and very wasteful of manpower and material resources in the face of a large number of indexes of projects in different fields.
Therefore, the application provides a project review method, a project review device, a computer device and a storage medium to solve the problems. Before discussing the review of the project provided by the present application in detail, the technical means involved in the present application will be explained.
The application provides a project review method, which can be used for rapidly extracting key information and analyzing the key information to obtain a result by identifying a text by using Natural Language Processing (NLP), greatly reducing the cost, laying a good foundation for subsequent work and reducing the time cost.
Natural Language Processing (NLP) is an important research direction in the fields of computer science and artificial intelligence, and it uses computer to process, understand and use human Language (such as chinese and english) to achieve effective communication between human and computer. Natural language processing is widely used in many directions including text analysis, information extraction, and the like.
The project review method can be applied to a server, and certainly can also be applied to a terminal device to realize intelligent review of the index parameters corresponding to the application scale of the project to be reviewed, wherein the terminal device can include a mobile phone, a tablet computer, a notebook computer, a palm computer, a Personal Digital Assistant (PDA), and a fixed terminal such as a Digital TV and a desktop computer. The servers may be, for example, individual servers or clusters of servers. However, for the sake of understanding, the following embodiments will be described in detail with respect to a project review method applied to a server.
Some embodiments of the present application will be described in detail below with reference to the accompanying drawings. The embodiments described below and the features of the embodiments can be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a schematic flow chart of a project review method according to an embodiment of the present application. The project review method can be applied to the server, achieves project review intellectualization, solves the problem of complexity of manual operation, reduces cost, improves accuracy and efficiency, and greatly improves user experience.
As shown in fig. 1, the project review method includes steps S101 to S105.
S101, acquiring index parameters corresponding to the project application scale of the project text to be reviewed, wherein the index parameters comprise scale types and scale indexes.
And acquiring index parameters of the project application scale of the project text to be evaluated and examined, which are provided by the user, wherein the index parameters comprise a scale category and a scale index. The project text to be reviewed includes an index parameter of the project application scale, that is, an index parameter text of the project application scale that the user wants to determine.
Specifically, the size categories include a first size category and a second size category, wherein the first size category includes the second size category, i.e., the first size category is a large category, and the second size category is a small category in the large category. The first scale category is used for determining a corresponding standard specification, and the second scale category is used for determining an index scale regulation table from the standard specification.
For example, if a user wants to apply for a library item at a school, the user may send a text of the item to be reviewed through the terminal device, where the size of the index parameter of the item application size of the text of the item is 6000 people at the study size, the area of the library to be applied is 10000 square meters, the size category is the first size category which is the university of cultural relics, and the second size category which is the library of the university of cultural relics.
For example, on an application program (APP), when a user opens the APP, the APP displays a project text interface to be reviewed, so that the user fills in an index parameter corresponding to the project application scale to be reviewed on the project text interface to be reviewed, obtains the index parameter filled in by the user on the project text interface to be reviewed, sends the index parameter to a server, and the server executes the project review method provided by the embodiment of the application according to the index parameter to perform project review, and sends feedback on whether the project to be reviewed meets the standard to the user, so that the user confirms.
In some embodiments, the voice of the user may also be obtained from the terminal device, for example, the terminal device is provided with a voice button to prompt the user to publish the project text to be reviewed by voice, and the project text to be reviewed by the user is obtained by recognizing the voice of the user.
In some embodiments, OCR technology may also be used to identify the project text to be reviewed provided by the user, and by performing a keyword query on the identified project text, the keyword is, for example, "application size", "size index", or the like, an index parameter of the project application size of the project text to be reviewed may be determined.
S102, determining a corresponding standard book and an index scale regulation table according to the scale category, and recognizing the index scale regulation table through an OCR technology to obtain table data.
Specifically, a corresponding standard specification book is determined according to the first scale category, a corresponding index scale regulation table is searched in the standard specification book according to the second scale category, and OCR technology recognition is performed on the index scale regulation table to obtain table data. Wherein the table data refers to index parameters in the index scale specification table.
For example, a standard specification book of the corresponding discourse university may be determined according to a first scale category, such as discourse university, and a target scale regulation table corresponding to a library may be determined according to a second scale category, such as library.
In some embodiments, in order to obtain a specific category corresponding to table data according to a table header, as shown in fig. 2, that is, determine whether the table data has the table header, the method specifically includes the following steps:
s1021, detecting whether the table data has a table header;
s1022, obtaining a first scale category and a second scale category corresponding to the scale index according to the table header;
and S1023, determining a first scale type and a second scale type corresponding to the scale index through a table header prediction tool.
Detecting whether a table header exists in the table data; if the table data has a table header, obtaining a first scale type and a second scale type corresponding to the scale index according to the table header; and if the table data does not have a table header, determining a first scale type and a second scale type corresponding to the scale index through a table header prediction tool.
Specifically, whether the index size specification table has a header table may be determined in a standard specification book by using an image recognition technique, for example, whether character information exists may be detected at a position of the header table of the table by using the image recognition technique, and the content of the character information may be extracted and subjected to a word segmentation process to obtain a first size category and a second size category corresponding to the size index.
Specifically, a table header is extracted from characters of a page where a table without the header is located by using a trained BiLstm-CRF entity extraction model, and a first scale category and a second scale category corresponding to a scale index are obtained.
Illustratively, characters of an index scale regulation table identified by a BiLstm-CRF analysis technology are used for generating a table header prediction result, and a first scale type and a second scale type corresponding to the scale index are obtained according to the table header prediction result.
Specifically, table context information is regulated through BilSTM learning index scale, but the context information has no influence, the scale category of the maximum probability value is predicted in each step, meanwhile, CRF can be used for making up for the defects of the traditional BilSTM, the maximum probability value of each step and the weight value of a keyword are combined for judgment, an optimal judgment path is learned, the scale category is determined, and the accuracy of project review is improved.
In some embodiments, OCR (optical character recognition) technology recognition may be performed on the standard specification book, and then the corresponding index scale specification table may be determined according to the scale type provided by the user.
In some embodiments, the index scale specification table in the standard specification book may be determined first, and then OCR recognition may be performed on the determined index scale specification table to obtain the table data. The index scale regulation table in the standard specification book is determined firstly, and the index scale regulation table in the standard specification book can be determined by using an image recognition technology. Therefore, the index scale regulation table can be identified in a targeted manner, so that the identification efficiency is improved, and the project review efficiency is improved.
In some embodiments, the standard book may be recognized by OCR (optical character recognition) techniques.
Illustratively, OpenCV is used for preprocessing an index scale specified form scanning page, that is, a form image is subjected to binarization processing and converted into a gray level image, and then the image is subjected to gaussian filtering processing, that is, each pixel in the image is scanned by using a template (or convolution and mask), and the weighted average gray level of the pixels in a neighborhood determined by the template is used for replacing the value of a central pixel point of the template; and then Canny edge detection is carried out, namely a Sobel core is used for filtering the smooth image in the horizontal direction and the vertical direction so as to obtain a first derivative in the horizontal direction and the vertical direction, after the edge gradual change and the direction of each pixel are found, the image is comprehensively scanned so as to remove all unnecessary pixels which may not form the edge, and then the edge is screened according to a preset double threshold.
And then, detecting a straight line by using OpenCV-hough transformation, namely quantizing the pixel space of the marginalized picture, assigning an initial value to a two-dimensional matrix accumulator A (wherein the slope and the intercept are respectively p and q), and taking (x) from the specified area of f (x, y)i,yi) According to the equation q ═ p × xi+yiIn [ p (min), p (max)]Calculating possible p values to obtain possible q values in the middle pass; according to pThe sum q value is used for carrying out accumulation calculation on an accumulator; and calculating each point in the image to obtain p and q corresponding to the maximum value in the array A (p, q), namely the values of p and q in the equation y which is p × x + q, and obtaining all straight lines according to the equation y which is p × x + q.
All the intersections are obtained according to the two straight line intersection formula, the pictures are divided according to the intersection positions, the position information is stored, image OCR (optical character recognition) technology recognition is carried out on each divided picture to obtain corresponding characters, then the table is restored according to the stored divided image positions and the characters obtained through recognition, and the table data is obtained.
In some embodiments, in order to determine the continuity of the target size specification table, as shown in fig. 3, that is, whether the target size specification table is a page spread table, the method specifically includes the following steps:
s1024, detecting whether the index scale regulation table is a page-crossing table or not;
and S1025, if the index scale regulation table is detected to be a page crossing table, merging the index scale regulation table by using a page crossing merging tool.
In some embodiments, whether the target scale specification table is a spread table may be determined by detecting whether the target scale specification table has continuity after OCR technology recognition.
In some embodiments, whether the form is a spread form may also be specified by identifying a metric scale through image techniques prior to OCR techniques.
Detecting whether the index scale regulation form is a page spread form or not; and if the index scale specified table is detected to be a page crossing table, merging the index scale specified table by using a page crossing merging tool.
For example, if it is detected that the index size specification table is a page crossing table, merging the index size specification table by using a page crossing merging tool such as a pandas, where merging the page crossing table by using the pandas includes: tables with the same fields are combined end to end, transverse table splicing and combining and tables with different column fields are combined.
Illustratively, taking the example of merging the page-crossing tables by pandas, the merging of the page-crossing tables is realized by adding a level of key parameter to the place where the page-crossing tables meet to identify the data source.
Illustratively, if two tables are encountered whose column fields are originally different, but are to be merged, the invalid values in the two tables are represented by nan, and the merged table is implemented by using the ignore _ index parameter.
S103, carrying out clustering analysis on the table data to obtain scale category data.
And performing cluster analysis on the table data, searching the scale index of a second scale type corresponding to the first scale type, generating an analysis result, and re-integrating the index scale regulation table of the first scale type according to the analysis result to obtain scale type data for generating a calculation formula corresponding to the scale index, wherein the scale type data is the index scale regulation table generated after the scale types are rearranged after the cluster analysis.
Specifically, a text clustering tool is used for searching scale indexes of a second scale category corresponding to a first scale category in the table data to generate an analysis result, and the scale indexes of the first scale category are reintegrated according to the analysis result to obtain scale category data, wherein the text clustering tool comprises at least one of K-means clustering, mean shift clustering, density-based clustering and K-Medians clustering.
Taking the K-means algorithm as an example, the K-means algorithm is a very typical clustering algorithm based on distance, and the distance is used as an evaluation index of similarity, that is, the closer the distance between two scale indexes is, the greater the similarity is, and finally the scale index with the greater similarity is counted.
Illustratively, we first select some classes/groups and randomly initialize their respective center points, calculate the distance of each data point to the center point, which is the same length as each data point vector, and classify into which class the data point is closest to which center point.
Illustratively, the project declaration is in units of a university or a hospital, but the scale index tables of different subclasses of the same type of university or hospital, such as a school teaching building and a library, are independent, and all the scale indexes of the same type of school or hospital can be integrated through clustering analysis.
Illustratively, the scale category data can also be obtained by reintegrating a second scale category belonging to the category of the university of synthesis through a K-Means text clustering model, such as integrating the scale index of the library of the university of synthesis and the scale index of the teaching building of the university of synthesis in the category of the university of synthesis. Therefore, the index scale regulation tables can be classified, and the table data can be understood more clearly and intuitively, so that the identification efficiency is improved, and the project review efficiency is improved.
And S104, fitting and generating a calculation formula of the scale index according to the scale category data.
Specifically, a calculation formula corresponding to a scale index for determining a comparison result of the scale index and the scale index of the prescribed table may be generated by interpolation from the scale category data.
Illustratively, as shown in table 1, if the index size specification table is a comprehensive university library size index table:
| number of people/person | 300 | 500 | 800 | 1000 |
| Scale/square meter | 1500 | 3000 | 5000 | 20000 |
According to the formula of interpolation:
a calculation formula for generating the scale indicator may be fitted. Wherein y is the library area in the scale index, and x is the comprehensive university scale population in the scale index; according to the index scale specification table, 5 piecewise functions can be obtained:
when x is less than 300, i.e. the number of people at the scale of the general university is less than 300, y is 1500;
when x is 300-500, namely the number of people in the scale of the comprehensive university is 300-500, namely x1＝300,x2＝500,y1＝1500,y23000, substituting to obtain the formula of y 7.5 x-750;
when x is 500-800, namely the number of the people in the scale of the comprehensive university is between 500-800, namely x1＝500,x2＝800,y1＝3000,y25000, substituting to obtain the formula of y 6.67 x-333;
when x is 800-1＝800,x2＝1000,y1＝5000,y220000, and the formula is obtained by substituting y 75 x-55000;
when x is more than 1000, i.e. the number of people at the scale of general university is more than 1000, y is 20000.
In some embodiments, a range of intervals for the university size population may be determined first, a corresponding piecewise function may be determined from the range of intervals, and a calculation formula may be generated. Therefore, the corresponding formula can be generated in a targeted manner, the time is saved, and the efficiency is improved.
And S105, determining whether the scale index corresponding to the project application scale of the project text to be reviewed meets the standard according to the calculation formula.
Substituting the scale index corresponding to the project application scale of the project text to be reviewed into the corresponding calculation formula to obtain a calculation result, wherein the calculation result is a standard index parameter of the project application scale to be reviewed, comparing the calculation result with the scale index, generating a comparison result, and determining whether the scale index meets the standard or not according to the comparison result.
Illustratively, when the school size of a certain university comprehensive project is 400 persons, the school size of the university comprehensive project is 400 persons, and the formula y is substituted into 7.5x-750 to obtain the value of y 2250, namely, when the area of the library to be built is 2250 square meters or less, the standard is met.
In some embodiments, a comparison result is obtained by comparing the calculation result with a scale index provided by a user, and a comparison feedback is generated and sent to the user.
In some embodiments, as shown in fig. 4, that is, determining whether the scale indicator meets the scale indicator of the specified table, specifically includes the following steps:
s1051, determining whether the scale index meets the scale index of the specified table;
s1052, generating comparison feedback according with the scale index;
and S1053, generating contrast feedback which does not accord with the scale index.
Determining whether the scale indicator meets the scale indicator of the prescribed table; if the scale index accords with the scale index of the specified table, generating comparison feedback according with the scale index, and sending the comparison feedback to a user; and if the scale index does not accord with the scale index of the specified table, generating comparison feedback which does not accord with the scale index, and sending the comparison feedback to the user.
In some embodiments, if a comparison feedback that does not meet the scale indicator is generated, the comparison feedback and the calculation result are sent to a user for the user to modify.
Illustratively, the index parameters corresponding to the project application scale for obtaining the project text to be reviewed provided by the user are as follows: the method comprises the steps of establishing a library with a standard size of 2700 square meters when the study scale of a certain comprehensive university project is 400 persons, obtaining the area of the library to be established when the study scale of the comprehensive university is 400 persons below 2250 square meters according to the formula, generating contrast feedback that the application area does not accord with the scale index, and sending the contrast feedback and the established area to a user.
Referring to fig. 5, fig. 5 is a schematic block diagram of a project review device according to an embodiment of the present application, which can be configured in a server for executing the project review method.
As shown in fig. 5, the project review device 200 includes: a parameter acquisition module 201, a table identification module 202, a cluster analysis module 203, a formula determination module 204, and a comparison feedback module 205.
The parameter obtaining module 201 is configured to obtain an index parameter corresponding to a project application scale of a project text to be reviewed, where the index parameter includes a scale category and a scale index;
the table identification module 202 is used for determining a corresponding standard book and an index scale regulation table according to the scale category, and identifying the index scale regulation table through an OCR technology to obtain table data;
the cluster analysis module 203 is used for performing cluster analysis on the form data to obtain scale category data;
a formula determining module 204, configured to generate a calculation formula of the scale index according to the scale category data;
and the comparison feedback module 205 is configured to determine whether the scale index corresponding to the project application scale of the project text to be reviewed meets the standard according to the calculation formula.
It should be noted that, as will be clear to those skilled in the art, for convenience and brevity of description, the specific working processes of the apparatus, the modules and the units described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The methods, apparatus, and devices of the present application are operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet-type devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
The above-described methods and apparatuses may be implemented, for example, in the form of a computer program that can be run on a computer device as shown in fig. 6.
Referring to fig. 6, fig. 6 is a schematic diagram of a computer device according to an embodiment of the present disclosure. The computer device may be a server or a terminal.
As shown in fig. 6, the computer device includes a processor, a memory, and a network interface connected by a system bus, wherein the memory may include a nonvolatile storage medium and an internal memory.
The non-volatile storage medium may store an operating system and a computer program. The computer program includes program instructions that, when executed, cause a processor to perform any of the project review methods.
The processor is used for providing calculation and control capability and supporting the operation of the whole computer equipment.
The internal memory provides an environment for the execution of a computer program on a non-volatile storage medium, which when executed by the processor, causes the processor to perform any of the methods for project review.
The network interface is used for network communication, such as sending assigned tasks and the like. Those skilled in the art will appreciate that the configuration of the computer apparatus is merely a block diagram of a portion of the configuration associated with aspects of the present application and is not intended to limit the computer apparatus to which aspects of the present application may be applied, and that a particular computer apparatus may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
It should be understood that the Processor may be a Central Processing Unit (CPU), and the Processor may be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein, in some embodiments, the processor is configured to execute a computer program stored in the memory to implement the steps of:
acquiring index parameters corresponding to the project application scale of a project text to be reviewed, wherein the index parameters comprise scale categories and scale indexes; determining a corresponding standard book and an index scale regulation form according to the scale category, and recognizing the index scale regulation form through an OCR technology to obtain form data; performing clustering analysis on the table data to obtain scale category data; fitting and generating a calculation formula of the scale index according to the scale category data; and determining whether the scale index corresponding to the project application scale of the project text to be reviewed meets the standard or not according to the calculation formula.
In some embodiments, the size categories include a first size category and a second size category, wherein the first size category includes the second size category.
In some embodiments, a corresponding standard specification book is determined according to the first scale category; searching a corresponding index scale regulation table in the standard specification book according to the second scale category; and performing OCR technical recognition on the index scale regulation table to obtain table data.
In some embodiments, the processor determines whether the table header exists in the table data when obtaining a specific category corresponding to the table data according to the table header, and is specifically configured to:
detecting whether a table header exists in the table data; if the table data has a table header, obtaining a first scale type and a second scale type corresponding to the scale index according to the table header; and if the table data does not have a table header, determining a first scale type and a second scale type corresponding to the scale index through a table header prediction tool.
In some embodiments, the processor, when implementing the continuity of determining the index size specification table, i.e., determining whether the index size specification table is a page spread table, is specifically configured to:
detecting whether the index scale regulation form is a page spread form or not; if the index scale regulation form is detected to be a page-crossing form; and merging the index scale regulation tables by using a cross-page merging tool.
In some embodiments, the processor, when determining whether the size indicator meets the size indicator of the prescribed table, implements:
determining whether the scale indicator meets the scale indicator of the prescribed table; if the scale index accords with the scale index of the specified table, generating comparison feedback according with the scale index, and sending the comparison feedback to a user; and if the scale index does not accord with the scale index of the specified table, generating comparison feedback which does not accord with the scale index, and sending the comparison feedback to the user.
In some embodiments, the scale index corresponding to the project application scale of the project text to be reviewed is substituted into the corresponding calculation formula to obtain a calculation result; and comparing the calculation result with the scale index to generate a comparison result so as to determine whether the scale index meets the standard according to the comparison result.
In some embodiments, a text clustering tool is used for searching the table data for a scale index of a second scale category corresponding to the first scale category, and an analysis result is generated; reintegrating the scale index of the first scale category according to the analysis result to obtain scale category data; wherein the text clustering tools include at least one of maximum expected clusters including K-means clusters, mean shift clusters, density-based clusters, and Gaussian mixture models.
The embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, where the computer program includes program instructions, and the program instructions, when executed, implement any one of the project review methods provided in the embodiment of the present application.
The computer-readable storage medium may be an internal storage unit of the computer device described in the foregoing embodiment, for example, a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the computer device.
Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.
The invention relates to a novel application mode of computer technologies such as storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like of a block chain language model. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
While the invention has been described with reference to specific embodiments, the scope of the invention is not limited thereto, and those skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the invention. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. A method for project review, the method comprising:
acquiring index parameters corresponding to the project application scale of a project text to be reviewed, wherein the index parameters comprise scale categories and scale indexes;
determining a corresponding standard book and an index scale regulation form according to the scale category, and recognizing the index scale regulation form through an OCR technology to obtain form data;
performing clustering analysis on the table data to obtain scale category data;
fitting and generating a calculation formula of the scale index according to the scale category data;
and determining whether the scale index corresponding to the project application scale of the project text to be reviewed meets the standard or not according to the calculation formula.
2. The method of claim 1, wherein the size categories include a first size category and a second size category, wherein the first size category includes the second size category.
3. The method according to claim 2, wherein the determining a standard specification book and a target scale specification table according to the scale category, and recognizing the target scale specification table by an OCR technology to obtain table data comprises:
determining a corresponding standard book according to the first scale category;
searching a corresponding index scale regulation table in the standard specification book according to the second scale category;
and performing OCR technical recognition on the index scale regulation table to obtain table data.
4. The method of claim 2, wherein the method comprises:
detecting whether a table header exists in the table data;
if the table data has a table header, obtaining a first scale type and a second scale type corresponding to the scale index according to the table header;
and if the table data does not have a table header, determining a first scale type and a second scale type corresponding to the scale index through a table header prediction tool.
5. The method of claim 3, wherein after the OCR recognition of the target size specification table to obtain the table data, the method further comprises:
determining whether the index size specification table is a page spread table;
and if the index scale regulation form is detected to be a page crossing form, merging the index scale regulation form by using a page crossing merging tool.
6. The method of claim 1, wherein the performing cluster analysis on the tabular data to obtain scale category data comprises:
searching scale indexes of a second scale category corresponding to the first scale category in the table data by using a text clustering tool to generate an analysis result;
reintegrating the scale index of the first scale category according to the analysis result to obtain scale category data;
wherein the text clustering tool comprises at least one of K-means clustering, mean shift clustering, density-based clustering, and K-Medians clustering.
7. The method according to claim 1, wherein the determining whether the size index corresponding to the project application size of the project text to be reviewed meets the criterion according to the calculation formula comprises:
substituting the scale index corresponding to the project application scale of the project text to be reviewed into the corresponding calculation formula to obtain a calculation result;
and comparing the calculation result with the scale index to generate a comparison result so as to determine whether the scale index meets the standard according to the comparison result.
8. A project review device, comprising:
the system comprises a parameter acquisition module, a parameter analysis module and a parameter analysis module, wherein the parameter acquisition module is used for acquiring index parameters corresponding to the project application scale of a project text to be reviewed, and the index parameters comprise scale categories and scale indexes;
the table identification module is used for determining a corresponding standard book and an index scale regulation table according to the scale category, and identifying the index scale regulation table through an OCR technology to obtain table data;
the cluster analysis module is used for carrying out cluster analysis on the form data to obtain scale category data;
the formula determining module is used for generating a calculation formula of the scale index according to the scale category data in a fitting mode;
and the comparison feedback module is used for determining whether the scale index corresponding to the project application scale of the project text to be reviewed meets the standard or not according to the calculation formula.
9. A computer device, wherein the computer device comprises a memory and a processor;
the memory for storing a computer program;
the processor is used for executing the computer program and realizing the following when the computer program is executed:
the project review method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, causes the processor to implement the project review method of any one of claims 1 to 7.
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