CN113869857A - Shield machine production intelligent management system based on internet - Google Patents

Abstract

The invention discloses an intelligent shield machine production management system based on the Internet, which comprises: the intelligent personnel management module is used for realizing intelligent management on the workers; the human resource pre-projection measuring and calculating module automatically calculates the personnel measuring and calculating condition of the future 3 months according to the project starting time and the estimated completion time filled when the project is established; the fixed asset management module is used for realizing intelligent allocation of materials; the equipment intelligent evaluation module is used for acquiring and displaying key data in the excavation process of the upper computer of the shield machine through a digital sensing technology, an industrial internet and a data mining technology, and tracking the running state and the construction condition of the shield machine in real time; the cost accounting module is used for accounting various expense lists generated from project establishment to production end; and the data analysis module is used for analyzing and comparing data in each block in different dimensions and then presenting the data in a form of a table or a graph. The invention realizes the intellectualization of shield construction project management.

Description

Shield machine production intelligent management system based on internet

Technical Field

The invention belongs to the technical field of intelligent management systems, and particularly relates to an intelligent management system for shield machine production based on the Internet.

Background

At present, with diversification of the shield market and diversification of shield technology, the scenes used by the shield machine are wider, and the generated data is multiplied. The shield construction site workers need to fill in a large amount of data every day, the filling mode is a traditional paper mode, and related problems such as disordered personnel management, repeated filling of a task list, damaged or lost data, complicated information query and statistics and the like easily occur in the data arrangement and collection process. Due to the damage and loss of the data, the development of standardization of company data is limited, meanwhile, the data in each shield project cannot be analyzed in time, the data resources of the company are greatly wasted, each department requires the data, the data to be provided is more and repeated, and the phenomenon of counterfeiting can occur.

Disclosure of Invention

The invention provides an intelligent shield machine production management system based on the Internet, aiming at the problems of complicated information query and statistics and the like in the existing shield machine production management, and the intelligent shield machine production management system takes informatization as a breakthrough and improves the informatization management level of projects by constructing the intelligent shield machine production management system.

In order to achieve the purpose, the invention adopts the following technical scheme:

the utility model provides a shield constructs quick-witted production intelligent management system based on internet, includes: the system comprises a personnel intelligent management module, a human resource pre-projection measuring and calculating module, a fixed asset management module, an equipment intelligent evaluation module, a cost accounting module and a data analysis module;

the personnel intelligent management module is used for realizing intelligent management on the working personnel, and comprises automatic identification and filling of personnel basic information, authority distribution and project personnel configuration;

the human resource pre-projection measuring and calculating module is used for automatically calculating the personnel measuring and calculating condition of the future 3 months according to the project starting time and the estimated completion time filled when the project is established;

the fixed asset management module is used for realizing intelligent allocation of materials;

the equipment intelligent evaluation module is used for acquiring key data in the excavation process of the upper computer of the shield machine through a digital sensing technology, an industrial internet and a data mining technology, displaying the key data on an interface and tracking the running state and the construction condition of the shield machine in real time;

the cost accounting module is used for accounting various expense lists generated from project establishment to production end;

the data analysis module is used for analyzing and comparing data in the manpower resource pre-projection measuring and calculating module, the fixed asset management module, the equipment intelligent evaluation module and the cost accounting module in different dimensions, and then displaying the data on an interface in a form of a table or a graph.

Further, the intelligent personnel management module is specifically configured to:

the administrator inputs the basic information of the newly-entered employee; or intelligently identifying the content in the personal information table through a content identification algorithm according to the personal information table filled by the newly-enrolled staff, automatically filling the content into the staff information table of the intelligent production database, and performing secondary editing and modification on the information by an administrator on the basis;

after the basic information of the employee is recorded, the administrator assigns roles for the employee, and the roles are automatically matched with the default operation authority; if the operation authority needs to be changed, a related application is initiated to the administrator, the application content comprises an applicant, application time, department units, jobs and application reasons, and the operation authority of the application is opened after the application is approved by the administrator;

filling an item standing table of an intelligent database item for production by a producer, standing a shield machine to be served, and filling the name of the item, the starting time of the item, the type of equipment, the buyer of the equipment and the information of a use standard section on the item standing table;

when a new project is started and related personnel need to be configured, a manager searches through key fields, wherein the key fields comprise project properties, shield specifications, equipment types, equipment buyers/owners, parcel areas and construction units, the system calls information in a production intelligent database personnel information table and a production intelligent database project standing item table to perform query screening through keywords, and performs one-key matching on idle personnel; and according to the set priority, sequentially sequencing and displaying the personnel meeting the conditions, and simultaneously meeting the requirements of multiple screening conditions, wherein the priority is highest, and the priority is partially second, so that the intelligent matching of the personnel is realized.

Further, the human resource pre-projection measuring and calculating module is specifically configured to:

the company production department imports equipment information expected to leave a factory in the future of the group every week; and finally, the human resource state of the future 3 months is measured according to the field withdrawing situation of the project under construction, the expected delivery information of new equipment and the standard of the personnel on duty.

Further, the fixed asset management module is specifically configured to:

the administrator retrieves the required tools according to the fields of the asset, which include: the name, the category, the specification and the model of the asset, and the size information further comprise: at present, if the city, responsible person and state accord with the initiated asset allocation application, the responsible person is changed into the current responsible person after the application is passed, thereby realizing the management and control of the materials on the project.

Further, the device intelligent evaluation module is further configured to:

and analyzing the data through data modeling, predicting safety risk, progress risk and quality risk in the construction process, feeding the safety risk, progress risk and quality risk back to a construction site in time, and feeding the data back to a shield machine design department, thereby optimizing the shield machine design and enhancing the adaptability of the shield machine.

Further, the content recognition algorithm is a text recognition algorithm of OpenCV + OCR.

Compared with the prior art, the invention has the following beneficial effects:

the invention is constructed based on actual business requirements, various functions of the system are simple and clear to operate, and the system is convenient for various related business personnel to use. Through convenience, high efficiency and intelligence of network office, generated data are collected and analyzed, the shield construction project management is digital and intelligent, and the working efficiency is improved.

Drawings

Fig. 1 is a schematic structural diagram of an internet-based intelligent shield machine production management system according to an embodiment of the present invention.

Detailed Description

The invention is further illustrated by the following examples in conjunction with the accompanying drawings:

as shown in fig. 1, an internet-based intelligent management system for shield machine production comprises: the intelligent management system comprises an intelligent personnel management module, a human resource pre-projection measuring and calculating module, a fixed asset management module, an intelligent equipment evaluation module, a cost accounting module and a data analysis module, and can realize intelligent management of the shield machine in the production process. The method specifically comprises the following steps:

1. personnel intelligent management module

The personnel intelligent management module is used for realizing intelligent management of workers, and comprises automatic identification and filling of personnel basic information, authority distribution and project personnel configuration.

Firstly, a manager inputs basic information of a newly-entered employee; or intelligently identifying the content in the personal information table through a content identification algorithm according to the personal information table filled by the newly-enrolled staff, automatically filling the content into the staff information table of the intelligent production database, and performing secondary editing and modification on the information by an administrator on the basis. Specifically, the production intelligent database personnel information table comprises birth year and month, technical titles, skill levels, working years, working ages, on-duty states, capability matrix diagrams, work summaries, personnel evaluations and the like.

Specifically, the content recognition algorithm is an OpenCV + OCR character content recognition algorithm.

OpenCV is known as Open Source Computer Vision Library, and is a cross-platform Computer Vision Library. OCR (Optical Character Recognition) refers to a process in which an electronic device (e.g., a scanner or a digital camera) checks a Character printed on paper, determines its shape by detecting dark and light patterns, and then translates the shape into a computer text by a Character Recognition method; namely, the process of scanning the text data, then analyzing and processing the image file and obtaining the character and layout information.

OpenCV implementation principle:

the first OpenCV performs graying processing on the acquired image, and the graying processing method mainly includes a component method, a maximum value method, an average value method and a weighted average method.

And the second OpenCV carries out binarization processing on the image, and the text line and the background are segmented by utilizing an OTSU binarization method. The binarization processing of the image is to set the gray scale of the point on the image to be 0 or 255, i.e. the whole image presents obvious black and white effect. That is, a gray scale image with 256 brightness levels is selected by a proper threshold value to obtain a binary image which can still reflect the whole and local features of the image. In digital image processing, binary images are very important, and particularly in practical image processing, many systems are configured by binary image processing, and in order to perform processing and analysis of binary images, a grayscale image is first binarized to obtain a binarized image, which is advantageous in that when an image is further processed, the collective property of the image is only related to the positions of points with pixel values of 0 or 255, and the multi-level values of the pixels are not related, so that the processing is simplified, and the processing and compression amount of data is small. In order to obtain an ideal binary image, a non-overlapping region is generally defined by closed and connected boundaries. All pixels with the gray levels larger than or equal to the threshold are judged to belong to the specific object, the gray level of the pixels is 255 for representation, otherwise the pixels are excluded from the object area, the gray level is 0, and the pixels represent the background or the exceptional object area. If a particular object has a uniform gray level inside it and is in a uniform background with gray levels of other levels, a comparable segmentation effect can be obtained using thresholding. If the difference between the object and the background is not represented in gray scale values (e.g., different textures), the difference feature can be converted into a gray scale difference, and then the image can be segmented using a threshold selection technique. The threshold value is dynamically adjusted to realize the binarization of the image, and the specific result of the image segmentation can be dynamically observed.

And the third OpenCV carries out corrosion processing on the binary image obtained through the binary processing and the gray level image subjected to the gray level processing, and connects the segmented character characters together through morphological corrosion.

The principle of OCR implementation:

first pretreatment: and processing the image containing the characters so as to extract and learn the characteristics in the following process. The main purpose of this process is to reduce the amount of useless information in the image in order to facilitate later processing. In this step there is typically: graying (if a color image), noise reduction, binarization, character segmentation, and normalization. After binarization, the image only has two colors, namely black and white, one of which is the image background, and the other color is the character to be recognized. Noise reduction is very important at this stage, and the quality of the noise reduction algorithm has a great influence on feature extraction. Character segmentation is to segment characters in an image into single characters, and character stroke recognition is performed during recognition. If the character line has inclination, inclination correction is also needed. Normalization means that a single character image is normalized to the same size, and a unified algorithm can be applied only under the same specification.

Second feature extraction and dimension reduction: the characteristics are key information used for identifying characters, and each different character can be distinguished from other characters through the characteristics. For the numbers and the English letters, the feature extraction is easier, because the numbers are only 10, and the English letters are only 52, which are small character sets. For Chinese characters, feature extraction is difficult because the Chinese characters are large character sets, and 3755 first-level Chinese characters which are most commonly used in national standard are used; the second Chinese character has a complex structure and many similar shapes. After determining which feature to use, it is possible to perform feature dimensionality reduction as the case may be, which is to say that if the feature dimensionality is too high (the feature is generally represented by a vector, i.e. the dimensionality is the number of components of the vector), the efficiency of the classifier is greatly affected, and in order to increase the recognition rate, dimensionality reduction is often performed, which is also important, both to reduce the dimensionality and to make the feature vector with reduced dimensionality retain a sufficient amount of information (to distinguish different characters).

Designing, training and actually recognizing a third classifier: the classifier is used for identification, namely for the second step, for a character image, extracting features and giving the extracted features to the classifier, and the classifier classifies the character image and tells the character which the features should be identified into.

And fourth post-treatment: the post-processing is used to optimize the classification result, and first, the classification of the classifier is sometimes not necessarily completely correct (actually, it is not completely correct), for example, for the recognition of Chinese characters, because of the existence of near-word in Chinese characters, it is easy to recognize a word as its near-word. Post-processing can be used to solve this problem, such as correction by a language model — if the classifier identifies "where" as "where to store," the "where to store" is found to be incorrect by the language model, and then correction is performed. Secondly, the recognition image of the OCR often has a large amount of characters, and the characters have complex conditions such as typesetting and font size, and an attempt can be made to format the recognition result in the post-processing, and finally the result is output.

Secondly, after the basic information of the staff is input, the manager distributes roles for the staff, wherein the roles comprise production personnel, a parcel manager, a department responsible person, a project responsible person, a cost expert and a purchasing specialist, the roles are automatically matched with default operation authorities, the operation authorities exercised by each role in the management system are different, if the operation authorities need to be changed, related applications need to be initiated to the manager, the application contents comprise an applicant, application time, a department unit, a job, application reasons and the like, and the roles can be opened after the application is approved by the manager.

And finally, the management system of the newly-enrolled staff automatically generates an account password and sends the account password to the user in a short message mode, and the system reminds the user to modify the password when logging in the management system for the first time.

And filling an item standing table of an intelligent database item for production by a producer, standing the shield machine to be served, and filling the item name, the item starting time, the equipment type, the equipment buyer and the use standard section information on the item standing table.

If a new project is started, related personnel needs to be configured, managers search through key fields, wherein the key fields comprise project properties, shield specifications, equipment types, equipment buyers/owners, districts, construction units and the like, information in a production intelligent database personnel information table and a production intelligent database project standing item table is called out by the system and inquired and screened through keywords, and one-key matching is carried out on idle personnel. And according to the set priority, sequentially sequencing and displaying the personnel meeting the conditions, and simultaneously meeting the requirements of multiple screening conditions, wherein the priority is highest, and the priority is partially second, so that the intelligent matching of the personnel is realized.

In addition, the employee checks the attendance by checking the card through an OA platform every day, the number of the project in which the employee is located, the number of the shield machine which is served and a project manager are required to be filled in when the attendance is checked, the OA platform can automatically generate an approval flow according to the filled project manager, the project manager approves the information filled in by the employee, the attendance is checked and checked successfully after the approval is passed, and the correctness and the authenticity of the information are ensured; the production intelligent management system synchronizes attendance related information of the staff to a staff intelligent management module of the management system through an interface provided by the OA platform, and automatically synchronizes a service item number and a shield machine number filled in when the staff makes a card and item basic information (such as equipment type, equipment buyer/owner, item property, shield specification and the like) related to the number to a production intelligent database staff information table, and simultaneously realizes the intercommunication between the production intelligent management system and the OA platform, cross-platform communication, complementary advantages and information resource sharing.

2. Human resource pre-throwing measuring and calculating module

The human resource pre-projection measuring and calculating module is used for automatically calculating the personnel measuring and calculating condition of the future 3 months according to the project starting time and the estimated completion time filled when the project is established. Specifically, the company production department imports equipment information expected to come out of the company every week; and finally, the human resource state of the future 3 months is measured according to the field withdrawing situation of the project under construction, the expected delivery information of new equipment and the standard of the post personnel of the equipment.

3. Fixed asset management module

The fixed asset management module mainly realizes intelligent allocation of materials. The administrator firstly inputs the information of the name, the category, the specification, the model, the size and the like of the asset in the background. The fixed asset management module at the login front end can see the basic information of the tool and the current city, person in charge and whether the state is in use or idle. If a tool is needed to be used, retrieval is carried out according to the fields, if a conforming asset transfer initiating application exists, the conforming asset transfer initiating application is changed into the existing responsible person after passing, and the responsible person is sent to the destination through express delivery or other modes. Therefore, the management and control of the materials on the project are realized, the dynamic state of the materials is known in real time, and the value and the reasonable utilization of the materials are realized.

4. Intelligent evaluation module for equipment

The intelligent evaluation module of the equipment is used for collecting key data (specifically comprising cutter head rotating speed, cutter head pressure, cutter head torque, propelling speed, propelling pressure, total propelling force, screw machine rotating speed, screw machine pressure, screw machine torque, soil bin pressure, pitch angle, rolling angle and the like) in the tunneling process of the upper computer of the shield tunneling machine through a digital sensing technology, an industrial internet and a data mining technology, displaying on an interface, tracking the running state and the construction condition of the shield tunneling machine in real time, and enabling people not to go home to master the running information of the equipment. The key data are analyzed through data modeling, so that safety risks, progress risks and quality risks in the construction process can be predicted, and the safety risks, the progress risks and the quality risks can be fed back to a construction site in time in the form of short messages and the like; and the data are fed back to a shield machine design department, so that the shield machine design is optimized, and the adaptability of the shield machine is enhanced.

5. Cost accounting module

The cost accounting module is used for accounting various expense lists generated from project establishment to production end. Which mainly includes process control inventory, labor costs, material costs, machinery costs, other costs, etc. The module is used for accounting, component analysis and decision-making of all the costs generated in the project production process, so that the yield increase and expenditure saving are promoted more comprehensively and scientifically, the project cost accounting is enhanced, and the project management level of an enterprise is improved.

6. Data analysis module

The data analysis module is used for analyzing and comparing data in the manpower resource pre-projection measuring and calculating module, the fixed asset management module, the equipment intelligent evaluation module and the cost accounting module in different dimensions (such as cluster analysis, factor analysis and the like), and then displaying the data on an interface in a form of a table or a graph, so that the data can be displayed in a live broadcast, image and vivid manner, all departments can obtain the data required by the departments by one key, and the workload of front-line workers is reduced.

As an implementable mode, the intelligent management system for shield machine production based on the Internet is divided into a WEB end and an APP end, the technology applied in the development system is mainly a multilayer framework structure model of J2EE (Java2 Platform Enterprise Edition), the technology is mature and stable, and the advancement can be kept. The B/S framework is adopted to lead the system to be intensively deployed and distributed for use, thus being beneficial to the upgrading and maintenance of the system; the MVC development mode is adopted, the SOA architecture is referred for functional design, the service function can be rapidly expanded, the normal use of the existing system function cannot be influenced, partial function expansion can be carried out according to the actual service volume, and the cost minimization is realized while the system operation requirement is met. The system adopts distributed deployment, the system functions are operated in an isolated mode, and the stability of the overall operation of the system is guaranteed.

In conclusion, the invention is constructed based on actual business requirements, various functions of the system are simple and clear to operate, and the system is convenient for various related business personnel to use. Through convenience, high efficiency and intelligence of network office, generated data are collected and analyzed, the shield construction project management is digital and intelligent, and the working efficiency is improved.

The above shows only the preferred embodiments of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.

Claims (6)

1. The utility model provides a shield constructs quick-witted production intelligent management system based on internet which characterized in that includes: the system comprises a personnel intelligent management module, a human resource pre-projection measuring and calculating module, a fixed asset management module, an equipment intelligent evaluation module, a cost accounting module and a data analysis module;

the personnel intelligent management module is used for realizing intelligent management on the working personnel, and comprises automatic identification and filling of personnel basic information, authority distribution and project personnel configuration;

the human resource pre-projection measuring and calculating module is used for automatically calculating the personnel measuring and calculating condition of the future 3 months according to the project starting time and the estimated completion time filled when the project is established;

the fixed asset management module is used for realizing intelligent allocation of materials;

the equipment intelligent evaluation module is used for acquiring key data in the excavation process of the upper computer of the shield machine through a digital sensing technology, an industrial internet and a data mining technology, displaying the key data on an interface and tracking the running state and the construction condition of the shield machine in real time;

the cost accounting module is used for accounting various expense lists generated from project establishment to production end;

the data analysis module is used for analyzing and comparing data in the manpower resource pre-projection measuring and calculating module, the fixed asset management module, the equipment intelligent evaluation module and the cost accounting module in different dimensions, and then displaying the data on an interface in a form of a table or a graph.

2. The intelligent management system for shield machine production based on internet as claimed in claim 1, wherein the intelligent personnel management module is specifically configured to:

the administrator inputs the basic information of the newly-entered employee; or intelligently identifying the content in the personal information table through a content identification algorithm according to the personal information table filled by the newly-enrolled staff, automatically filling the content into the staff information table of the intelligent production database, and performing secondary editing and modification on the information by an administrator on the basis;

after the basic information of the employee is recorded, the administrator assigns roles for the employee, and the roles are automatically matched with the default operation authority; if the operation authority needs to be changed, a related application is initiated to the administrator, the application content comprises an applicant, application time, department units, jobs and application reasons, and the operation authority of the application is opened after the application is approved by the administrator;

filling an item standing table of an intelligent database item for production by a producer, standing a shield machine to be served, and filling the name of the item, the starting time of the item, the type of equipment, the buyer of the equipment and the information of a use standard section on the item standing table;

when a new project is started and related personnel need to be configured, a manager searches through key fields, wherein the key fields comprise project properties, shield specifications, equipment types, equipment buyers/owners, parcel areas and construction units, the system calls information in a production intelligent database personnel information table and a production intelligent database project standing item table to perform query screening through keywords, and performs one-key matching on idle personnel; and according to the set priority, sequentially sequencing and displaying the personnel meeting the conditions, and simultaneously meeting the requirements of multiple screening conditions, wherein the priority is highest, and the priority is partially second, so that the intelligent matching of the personnel is realized.

3. The intelligent management system for shield machine production based on internet as claimed in claim 1, wherein the human resource pre-projection measuring and calculating module is specifically configured to:

the company production department imports equipment information expected to leave a factory in the future of the group every week; and finally, the human resource state of the future 3 months is measured according to the field withdrawing situation of the project under construction, the expected delivery information of new equipment and the standard of the personnel on duty.

4. The internet-based intelligent shield tunneling machine production management system of claim 1, wherein the fixed asset management module is specifically configured to:

the administrator retrieves the required tools according to the fields of the asset, which include: the name, the category, the specification and the model of the asset, and the size information further comprise: at present, if the city, responsible person and state accord with the initiated asset allocation application, the responsible person is changed into the current responsible person after the application is passed, thereby realizing the management and control of the materials on the project.

5. The internet-based intelligent shield tunneling machine production management system according to claim 1, wherein the equipment intelligent evaluation module is further configured to:

and analyzing the data through data modeling, predicting safety risk, progress risk and quality risk in the construction process, feeding the safety risk, progress risk and quality risk back to a construction site in time, and feeding the data back to a shield machine design department, thereby optimizing the shield machine design and enhancing the adaptability of the shield machine.

6. The intelligent management system for shield machine production based on internet as claimed in claim 2, wherein the content recognition algorithm is a text recognition algorithm of OpenCV + OCR.

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