CN112465480A - A real name system management system of labor affairs for building trade - Google Patents
A real name system management system of labor affairs for building trade Download PDFInfo
- Publication number
- CN112465480A CN112465480A CN202011527458.4A CN202011527458A CN112465480A CN 112465480 A CN112465480 A CN 112465480A CN 202011527458 A CN202011527458 A CN 202011527458A CN 112465480 A CN112465480 A CN 112465480A
- Authority
- CN
- China
- Prior art keywords
- data
- real
- name
- management module
- service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 claims abstract description 74
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 238000013523 data management Methods 0.000 claims abstract description 8
- 238000010276 construction Methods 0.000 claims description 61
- 238000005516 engineering process Methods 0.000 claims description 23
- 238000004364 calculation method Methods 0.000 claims description 17
- 230000005540 biological transmission Effects 0.000 claims description 12
- 230000006870 function Effects 0.000 claims description 10
- 230000006378 damage Effects 0.000 claims description 8
- 238000003860 storage Methods 0.000 claims description 8
- 208000027418 Wounds and injury Diseases 0.000 claims description 7
- 208000014674 injury Diseases 0.000 claims description 7
- 238000000034 method Methods 0.000 claims description 6
- 238000005538 encapsulation Methods 0.000 claims description 4
- 238000012545 processing Methods 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000007418 data mining Methods 0.000 claims description 3
- 238000013500 data storage Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 claims description 3
- 238000012905 input function Methods 0.000 claims description 3
- 230000007246 mechanism Effects 0.000 claims description 3
- 238000004080 punching Methods 0.000 claims description 3
- 238000010845 search algorithm Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 230000002265 prevention Effects 0.000 abstract description 2
- 238000005070 sampling Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 239000000178 monomer Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000009430 construction management Methods 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 230000033764 rhythmic process Effects 0.000 description 1
- 238000012384 transportation and delivery Methods 0.000 description 1
- 238000013024 troubleshooting Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
- G06Q10/1091—Recording time for administrative or management purposes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
Abstract
The invention discloses a labor service real-name management system for the building industry, which comprises a real-name data acquisition system and a real-name data management system; the real-name system data acquisition system comprises a data center and a data acquisition terminal; the real-name system data management system is also called a project information acquisition system; the system mainly comprises an analysis early warning module, a project management module, an enterprise management module, a team management module, a personnel management module, a contract management module, an attendance management module and a wage management module; the invention establishes an index system capable of quantitatively reflecting the integral operation characteristics, scale, structure and horizontal operation of a company based on big data resources of labor workers, establishes an operation monitoring and early warning analysis function taking operation monitoring and early warning service as a target and sampling survey data as a main data source based on the big data resources, and provides risk prevention service for enterprises at all levels of the company.
Description
Technical Field
The invention belongs to a real-name management system, and particularly relates to a real-name management system for construction engineering in the building industry.
Background
Engineering construction is always the key point of supervision of industry governing departments, and the building industry of China covers various subdivision types such as housing construction, transportation, hydraulic engineering, energy infrastructure, railway construction, electric power engineering and the like. And each type of project needs a series of work such as project filing, work injury payment, wage exclusive set-up, field real-name management and the like in the construction process, each work is managed by different supervision departments in the industry, and because the current government supervision platforms are not communicated, the project data is mostly reported by the projects according to different platform supervision standards. On one hand, the industry supervision platform is not uniform, the standard is diversified, and project data reporting work is difficult to advance and is not timely; on the other hand, data is reported unilaterally by projects, and the primary supervision department has higher verification difficulty and is difficult to avoid serious problems such as false report and counterfeiting.
Disclosure of Invention
The invention aims to solve the technical problem of providing a labor service real-name management system for the building industry, which provides standardization for construction management and supervision of the engineering of the building industry.
The technical scheme of the invention is as follows: a labor service real-name management system for the construction industry comprises a real-name data acquisition system and a real-name data management system;
the real-name system data acquisition system comprises a data center and a data acquisition terminal; the data acquisition terminal reads identity information of construction workers through identity recognition equipment, and real-name registration is carried out on the workers through a face recognition technology; the data acquisition terminal is coupled with the data center and transmits construction worker information to the data center, the data center comprises a memory, an input device and a display device, the memory is coupled with the recording terminal and used for receiving and storing the construction worker information output by the recording terminal, and the input device and the display device are both coupled with the memory; the input device is used for inputting the supplementary information of the construction worker into the memory for storage and updating the information of the construction worker in the memory; the display equipment is used for receiving the information of the construction workers in the memory and displaying the information of the construction workers; the construction worker information stored in the memory comprises worker identity information and work experience;
the real-name system data management system is mainly divided into an analysis early warning module, a project management module, an enterprise management module, a team management module, a personnel management module, a contract management module, an attendance management module and a wage management module;
the analysis early warning module is used for integrating and analyzing industry projects and labor service data by using a big data algorithm, intuitively pushing industry abnormal data to enterprises or government supervision departments in real time by using charts and dynamic effects through establishing a set of complete risk early warning mechanism, and carrying out public opinion early warning to help the enterprises or government departments to supervise the data in real time;
the project management module is used for providing an information input function for a construction unit manager by the system, and supporting construction enterprises to input and manage important information such as project construction information, record information, operation information, special account establishment, industrial injury insurance payment and the like in the system;
the enterprise management module provides a project participation enterprise query entrance for enterprises and governments, helps supervision departments to supervise enterprise conditions in real time, and achieves the aims of surveying the enterprises through projects and supervising project construction through enterprises;
the team management module is used for realizing on-site accurate management of engineering construction, taking teams as units and realizing one-to-one supervision of personnel through team leaders;
the personnel management module is used for realizing information management of contracts, attendance, payroll and the like based on personnel by calling personnel data uploaded to the data center by the system through the data acquisition terminal;
the contract management module is used for providing an online and offline electronic contract signing entrance for labor workers and providing a legal labor employment certificate for the labor workers in order to promote engineering employment legalization;
the attendance management module is used for making worker employment records by calling attendance data uploaded to the data center by the acquisition terminal through the system, and integrating and analyzing the attendance data to visually present worker stage employment conditions and provide reference basis for worker wage distribution and work injury reporting;
the payroll management module is a transmission replacing flow for providing an online payroll and one-key transmission replacing for guaranteeing the agricultural name and the payroll, getting through a payroll transmission interface with a bank, pushing worker payroll data to the bank, and returning a transmission result by the bank.
Specifically, the face recognition technology uses a 0CR image recognition technology to recognize and collect personal identification card information; the method comprises the steps of acquiring living body face information by introducing a biological recognition technology, matching an acquired identity card image with an actual face picture on acquisition equipment, finishing real-name registration of labor workers after successful matching, and finally uploading real-name construction worker data to a data storage center.
Specifically, the real-name registration includes entry registration and exit registration of labor workers.
More specifically, when the construction worker performs attendance registration, entering and leaving, a current face picture is recorded by using face recognition authentication, the interface calls a real-name registration picture uploaded to the data storage center, the attendance picture is compared with the real-name registration picture, if the attendance picture is successfully compared with the real-name registration picture, the attendance card punching is successful, effective attendance is automatically generated at the data acquisition terminal, and attendance data is transmitted back to the data center through the uploading interface.
Specifically, the storage of the data center adopts a spring closed micro-service architecture mode, original coupled complex services are split into single services, each micro-service works in a single function, and a service boundary is clearly expressed through a well-defined interface; each service developer only works on the service itself, the performance of the system is improved by using a cache and DAL technical means, and in a micro-service architecture mode, when a certain component fails, the failure can be isolated in a single service, so that the normal operation of core services is guaranteed.
More specifically, the spring closed micro-service architecture comprises a data engine layer, a calculation engine layer, a business engine layer and a data interface layer.
More specifically, the data engine layer provides data storage and engine service by adopting MongoDB, graph algorithm and the like, and the calculation engine layer provides intelligent processing and data mining components; the service engine layer realizes the logic encapsulation of service data by using a Docker container technology; the data interface layer provides the capability of continuous application access by adopting RESTFul technology.
More specifically, the computation adopted by the computation engine layer comprises batch offline computation, memory computation and online streaming computation.
More specifically, the graph algorithm employs a depth-first search algorithm: assuming that the initial state of a given graph G is such that all vertices have not been visited, choosing one vertex i in G as the initial point of traversal, there are three steps using recursive invocation, as follows: 1. accessing the searched non-accessed adjacent points; 2. marking the accessed point as the accessed point, and skipping next time; 3. and continuing to search the adjacent point which is not visited by the vertex, and if the adjacent point is found, starting the same search and marking from the adjacent point, and repeating until all the nodes are visited.
Compared with the prior art, the invention has the beneficial effects that: the method is based on labor worker big data resources, establishes an index system capable of quantitatively reflecting the whole operation characteristics, scale, structure and horizontal operation of the company, establishes an operation monitoring and early warning analysis function taking operation monitoring and early warning service as a target and sampling survey data as a main data source based on couchtop big data resources, and provides risk prevention service for enterprises at all levels of the company; the functions comprise project owing early warning, labor contract dispute early warning, project safety risk early warning and the like; secondly, a spring closed micro-service architecture mode is adopted to construct the background of the whole project, original complex services coupled together are split into single services, the accumulation of original infinite complexity is avoided, when a certain component fails, the failure can be isolated in the single service, and the normal operation of core services is guaranteed.
Drawings
FIG. 1 is a block diagram of a construction worker management system of the present invention;
FIG. 2 is a system architecture diagram;
FIG. 3 is a micro-service technology architecture diagram;
FIG. 4 is a diagram comparing micro-service architecture with monolithic software architecture.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. 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 invention.
As shown in fig. 1-2, a labor real-name management system for the construction industry includes a real-name data acquisition system and a real-name data management system;
the real-name system data acquisition system comprises a data center and a data acquisition terminal; the data acquisition terminal reads identity information of construction workers through identity recognition equipment, and real-name registration is carried out on the workers through a face recognition technology; the data acquisition terminal is coupled with the data center and transmits construction worker information to the data center, the data center comprises a memory, an input device and a display device, the memory is coupled with the recording terminal and used for receiving and storing the construction worker information output by the recording terminal, and the input device and the display device are both coupled with the memory; the input device is used for inputting the supplementary information of the construction worker into the memory for storage and updating the information of the construction worker in the memory; the display equipment is used for receiving the information of the construction workers in the memory and displaying the information of the construction workers; the construction worker information stored in the memory comprises worker identity information and work experience;
the real-name system data management system is also called a project information acquisition system; the system mainly comprises an analysis early warning module, a project management module, an enterprise management module, a team management module, a personnel management module, a contract management module, an attendance management module and a wage management module;
the analysis early warning module is used for integrating and analyzing industry projects and labor service data by using a big data algorithm, intuitively pushing industry abnormal data to enterprises or government supervision departments in real time by establishing a set of complete risk early warning mechanism and visually using charts and dynamic effects to carry out public opinion early warning and help the enterprises or government departments to supervise the data in real time;
the project management module is used for providing an information input function for a construction unit manager by the system, and supporting construction enterprises to input and manage important information such as project construction information, record information, operation information, special account opening, industrial injury insurance payment and the like in the system;
the enterprise management module provides a project participation enterprise query entrance for enterprises and governments, helps supervision departments to supervise enterprise conditions in real time, and achieves the aims of surveying the enterprises through projects and supervising project construction through enterprises;
the team management module is used for realizing on-site accurate management of engineering construction, taking teams as units and realizing one-to-one supervision of personnel through team leaders;
the personnel management module is used for realizing information management of contracts, attendance, payroll and the like based on personnel by calling personnel data uploaded to the data center by the system through the data acquisition terminal;
the contract management module is used for providing an online and offline electronic contract signing entrance for labor workers and providing a legal labor employment certificate for the labor workers in order to promote the engineering employment to be legal;
the attendance management module is used for making worker employment records by taking attendance data uploaded to the data center by the acquisition terminal through the system, and integrating and analyzing the attendance data to visually present worker stage employment conditions and provide reference basis for worker wage distribution and work injury reporting;
the payroll management module is a transmission replacing flow for providing an online payroll and one-key transmission for guaranteeing the agricultural name payroll, getting through a payroll transmission interface with a bank, pushing the payroll data of workers to the bank, and returning a transmission result by the bank.
The real-name system is divided into 8 sub-services, which are respectively: project services (including enterprise services), personnel services (including team services), attendance services, contract services, payroll services, equipment services, statistics services.
The face recognition technology is data acquisition, and a 0CR image recognition technology is applied to identify and acquire personal identification card information; the method comprises the steps of acquiring living body face information by introducing a biological recognition technology, matching an acquired identity card image with an actual face picture on acquisition equipment, finishing real-name registration of workers after successful matching, and finally uploading data of the workers with real names to a data storage center. The real-name registration comprises entering registration and leaving registration of labor workers.
When workers log in and out attendance, a current face picture is recorded by using face recognition authentication, an interface calls a real-name registration picture which is uploaded to a data storage center, the attendance picture is compared with the real-name registration picture, if the comparison is successful, namely the attendance card punching is successful, effective attendance is automatically generated at an attendance collection end, and attendance data is transmitted back to the data storage center through an uploading interface.
The storage of the data center mainly realizes the technical function components of mass data acquisition, processing, storage, calculation and analysis. According to the actual condition of labor employment, the big data base platform is more suitable for adopting a micro-service architecture solution.
The micro-service architecture mode advocates that a single application program is divided into a group of small services, and the services are coordinated and matched with each other, so that the final value is provided for users.
As shown in fig. 3-4, the storage of the data center of the present invention adopts a spring bound micro-service architecture mode to construct the background of the whole project, and splits originally coupled complex services into single services, thereby avoiding the endless accumulation of original complexity. Each micro-service is dedicated to a single function, and clearly expresses a service boundary through a well-defined interface; each service developer only concentrates on the service per se, improves the performance of the system by using various technical means such as cache, DAL and the like, is completely transparent to consumers, and under a micro-service architecture, when a certain component fails, the failure can be isolated in a single service; for example, the damage caused by errors is reduced through current limiting, fusing and the like, and the normal operation of core services is guaranteed.
The whole framework is constructed based on a distributed framework and comprises a data engine layer, a calculation engine layer, a business engine layer and a data interface layer: the data engine layer provides data storage and engine service by adopting MongoDB, graph algorithm and the like, and the calculation engine layer provides intelligent processing and data mining components. The service engine layer realizes the logic encapsulation of service data by using a Docker container technology, and the data interface layer provides the capability of continuous application access by using a RESTFul technology. The design thinking of the micro-services abstracts the services into modules with finer granularity which are more consistent with CloudNative and deploys the modules in a Docker mode, and various services are seemingly isolated and actually communicated, so that the deployment and maintenance of tools are facilitated to deal with the access of more services in the future. The construction based on the micro-service architecture creates a new generation of 'platform + tool' fusion mode, so that the logic of fussy service is released, special service is provided for upper-layer application, and the application layer is more concentrated in the service.
The graph algorithm of the embodiment adopts a depth-first search algorithm: assuming that the initial state of a given graph G is such that all vertices have not been visited, choosing one vertex i in G as the initial point of traversal, there are three steps using recursive invocation, as follows: 1. accessing the searched non-accessed adjacent points; 2. marking the accessed point as the accessed point, and skipping next time; 3. and continuing to search the adjacent point which is not visited by the vertex, and if the adjacent point is found, starting the same search and marking from the adjacent point, and repeating until all the nodes are visited.
The calculation adopted by the calculation engine layer comprises batch offline calculation (such as MapReduce), memory calculation (such as Spark and Ignite), online Streaming calculation (such as Storm, Samza, Spark Streaming, S4) and the like.
Compared with the traditional monomer architecture application, the micro-service architecture has the following characteristics:
(1) the service can be independently constructed, independently deployed and independently expanded as required, and a flexible organization mode and a release rhythm are given to the system, so that rapid delivery and flexible application are possible;
(2) the SOA is realized in a loose coupling mode, single responsibility and limit context-based mode, the service complexity of a single framework is simplified, a large project is split according to service requirements, and parallel research and development of the project are facilitated;
(3) the architecture is driven by the service and continuously evolves, so that the cost of system maintenance and service expansion is reduced, the continuous iterative upgrade of later-period requirements and functions is facilitated, and meanwhile, the difficulty of error troubleshooting is reduced;
(4) the complexity problem is solved for a plurality of service methods by decomposing huge single application, each micro-service is relatively small, and the matching technology is conveniently selected according to different service performance requirements;
(5) each monomer application is not limited to a fixed technology stack, and developers can freely select development technologies, provide API services and realize diversified selection of the technologies;
(6) the single responsibility function and the granularity of the service are small, each service only focuses on one service function aiming at the encapsulation of single service capability, and therefore the services in certain aspects are more likely to be made into competitive products;
(7) the system is easy for large-scale development, a plurality of development teams can develop in parallel, and each team is responsible for one service;
(8) the fault isolation is improved, and the breakdown of one service does not influence other services.
Compared with a single-block architecture, the micro-service architecture has absolute advantages in the aspects of system upgrading, service capacity expansion, rich functions and the like, is convenient for a user to carry out a long-term construction service system in the later period, and has an external access management capability.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention.
Claims (9)
1. A labor service real-name management system for building industry is characterized in that: the system comprises a real-name system data acquisition system and a real-name system data management system;
the real-name system data acquisition system comprises a data center and a data acquisition terminal; the data acquisition terminal reads identity information of construction workers through identity recognition equipment, and real-name registration is carried out on the workers through a face recognition technology; the data acquisition terminal is coupled with the data center and transmits construction worker information to the data center, the data center comprises a memory, an input device and a display device, the memory is coupled with the recording terminal and used for receiving and storing the construction worker information output by the recording terminal, and the input device and the display device are both coupled with the memory; the input device is used for inputting the supplementary information of the construction worker into the memory for storage and updating the information of the construction worker in the memory; the display equipment is used for receiving the information of the construction workers in the memory and displaying the information of the construction workers; the construction worker information stored in the memory comprises worker identity information and work experience;
the real-name system data management system is mainly divided into an analysis early warning module, a project management module, an enterprise management module, a team management module, a personnel management module, a contract management module, an attendance management module and a wage management module;
the analysis early warning module is used for integrating and analyzing industry projects and labor service data by using a big data algorithm, intuitively pushing industry abnormal data to enterprises or government supervision departments in real time by using charts and dynamic effects through establishing a set of complete risk early warning mechanism, and carrying out public opinion early warning to help the enterprises or government departments to supervise the data in real time;
the project management module is used for providing an information input function for a construction unit manager by the system, and supporting construction enterprises to input and manage important information such as project construction information, record information, operation information, special account establishment, industrial injury insurance payment and the like in the system;
the enterprise management module provides a project participation enterprise query entrance for enterprises and governments, helps supervision departments to supervise enterprise conditions in real time, and achieves the aims of surveying the enterprises through projects and supervising project construction through enterprises;
the team management module is used for realizing on-site accurate management of engineering construction, taking teams as units and realizing one-to-one supervision of personnel through team leaders;
the personnel management module is used for realizing information management of contracts, attendance, payroll and the like based on personnel by calling personnel data uploaded to the data center by the system through the data acquisition terminal;
the contract management module is used for providing an online and offline electronic contract signing entrance for labor workers and providing a legal labor employment certificate for the labor workers in order to promote engineering employment legalization;
the attendance management module is used for making worker employment records by calling attendance data uploaded to the data center by the acquisition terminal through the system, and integrating and analyzing the attendance data to visually present worker stage employment conditions and provide reference basis for worker wage distribution and work injury reporting;
the payroll management module is a transmission replacing flow for providing an online payroll and one-key transmission replacing for guaranteeing the agricultural name and the payroll, getting through a payroll transmission interface with a bank, pushing worker payroll data to the bank, and returning a transmission result by the bank.
2. The labor real-name management system for the construction industry according to claim 1, wherein: the face recognition technology uses a 0CR image recognition technology to recognize and collect personal identification card information; the method comprises the steps of acquiring living body face information by introducing a biological recognition technology, matching an acquired identity card image with an actual face picture on acquisition equipment, finishing real-name registration of labor workers after successful matching, and finally uploading real-name construction worker data to a data storage center.
3. The labor real-name management system for the construction industry according to claim 1, wherein: the real-name registration comprises entering registration and leaving registration of labor workers.
4. A labor force real-name management system for the construction industry as claimed in claim 3 wherein: when the construction worker carries out attendance registration and goes in and out of a field, a current face picture is recorded by using face recognition authentication, the interface calls a real-name registration picture which is uploaded to the data storage center, the attendance picture is compared with the real-name registration picture, if the comparison is successful, the attendance card punching is successful, effective attendance is automatically generated at the data acquisition terminal, and attendance data are transmitted back to the data center through the uploading interface.
5. The labor real-name management system for the construction industry according to claim 1, wherein: the storage of the data center adopts a spring closed micro-service architecture mode, original coupled complex services are divided into single services, each micro-service works in a single function, and service boundaries are clearly expressed through well-defined interfaces; each service developer only works on the service itself, the performance of the system is improved by using a cache and DAL technical means, and in a micro-service architecture mode, when a certain component fails, the failure can be isolated in a single service, so that the normal operation of core services is guaranteed.
6. The labor real-name management system for the construction industry according to claim 5, wherein: the spring closed micro-service architecture comprises a data engine layer, a calculation engine layer, a service engine layer and a data interface layer.
7. The labor real-name management system for the construction industry according to claim 6, wherein: the data engine layer provides data storage and engine service by adopting MongoDB, graph algorithm and the like, and the calculation engine layer provides intelligent processing and data mining components; the service engine layer realizes the logic encapsulation of service data by using a Docker container technology; the data interface layer provides the capability of continuous application access by adopting RESTFul technology.
8. A labor force real-name management system for the construction industry according to claim 6 or 7, wherein: the calculation adopted by the calculation engine layer comprises batch off-line calculation, memory calculation and online streaming calculation.
9. The labor real-name management system for the construction industry according to claim 7, wherein: the graph algorithm adopts a depth-first search algorithm: assuming that the initial state of a given graph G is such that all vertices have not been visited, choosing one vertex i in G as the initial point of traversal, there are three steps using recursive invocation, as follows: 1. accessing the searched non-accessed adjacent points; 2. marking the accessed point as the accessed point, and skipping next time; 3. and continuing to search the adjacent point which is not visited by the vertex, and if the adjacent point is found, starting the same search and marking from the adjacent point, and repeating until all the nodes are visited.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011527458.4A CN112465480A (en) | 2020-12-22 | 2020-12-22 | A real name system management system of labor affairs for building trade |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011527458.4A CN112465480A (en) | 2020-12-22 | 2020-12-22 | A real name system management system of labor affairs for building trade |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112465480A true CN112465480A (en) | 2021-03-09 |
Family
ID=74804612
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011527458.4A Pending CN112465480A (en) | 2020-12-22 | 2020-12-22 | A real name system management system of labor affairs for building trade |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112465480A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113409168A (en) * | 2021-03-24 | 2021-09-17 | 浙江绿城筑乐美城市发展有限公司 | Building decoration project labor service and project quantity real-name management system and method |
| CN114120462A (en) * | 2021-10-11 | 2022-03-01 | 合肥优尔电子科技有限公司 | Self-adaptive pushing system and method for labor real-name system data based on supervision platform |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107193899A (en) * | 2017-05-10 | 2017-09-22 | 华中科技大学 | A kind of friendly strongly connected graph division methods of nomography |
| CN109255731A (en) * | 2018-08-09 | 2019-01-22 | 广联达科技股份有限公司 | A kind of architectural engineering labor service personnel management system and management method |
-
2020
- 2020-12-22 CN CN202011527458.4A patent/CN112465480A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107193899A (en) * | 2017-05-10 | 2017-09-22 | 华中科技大学 | A kind of friendly strongly connected graph division methods of nomography |
| CN109255731A (en) * | 2018-08-09 | 2019-01-22 | 广联达科技股份有限公司 | A kind of architectural engineering labor service personnel management system and management method |
Non-Patent Citations (3)
| Title |
|---|
| 李天罡 等: "基于微服务架构的智能内容汇聚生产云平台建设（上）", 《新媒体新业务》, no. 12, 15 December 2017 (2017-12-15), pages 81 - 85 * |
| 王雪旸: "TCP_IP协议族在相控阵时分卫星网络中的应用", 《中国优秀硕士学位论文全文数据库》, no. 8, 15 August 2015 (2015-08-15), pages 136 - 606 * |
| 赵昱: "基于ServiceComb 的多语言微服务平台", 《计算机系统应用》, vol. 29, no. 4, 5 April 2020 (2020-04-05), pages 84 - 91 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113409168A (en) * | 2021-03-24 | 2021-09-17 | 浙江绿城筑乐美城市发展有限公司 | Building decoration project labor service and project quantity real-name management system and method |
| CN114120462A (en) * | 2021-10-11 | 2022-03-01 | 合肥优尔电子科技有限公司 | Self-adaptive pushing system and method for labor real-name system data based on supervision platform |
| CN114120462B (en) * | 2021-10-11 | 2024-03-01 | 合肥优尔电子科技有限公司 | Self-adaptive pushing system and method for labor service real-name system data based on supervision platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109375594B (en) | City safety wisdom management and control platform | |
| CN109409633B (en) | Business monitoring and risk early warning system | |
| CN111160869A (en) | Intelligent early warning care system based on community meshing | |
| CN103274272A (en) | Elevator integrated management system and elevator integrated management method | |
| CN104657903A (en) | Compressive guarantee system for equipment based on IETM | |
| CN109767081B (en) | Method and device for generating power worksheet | |
| CN109636307B (en) | River chang APP system | |
| CN112465480A (en) | A real name system management system of labor affairs for building trade | |
| CN112598368A (en) | Sewage treatment online supervision platform | |
| CN109784788A (en) | A kind of intelligent comprehensive patrol checking server, terminal and system | |
| CN109117526A (en) | One kind being suitable for mechanical system maintenance of equipment and guides data record and analysis system | |
| CN107693997B (en) | Fire fighting equipment detection and maintenance management system and management method | |
| CN111046000A (en) | Government data exchange sharing oriented security supervision metadata organization method | |
| CN112508733A (en) | Big data intelligence service system in electric wire netting space-time based on big dipper | |
| CN116957341A (en) | Intelligent safety risk management and control system based on steel mill | |
| CN115038083A (en) | Telecom fraud early warning identification method and system applied to AI operator industry | |
| CN109709839A (en) | A kind of biomass electric power plant multistage method for real-time monitoring | |
| CN112561683A (en) | Novel supervisory systems based on credit is jointly awarded and punishment service | |
| CN112488498A (en) | Public security and civil meaning synthesis application system | |
| CN111915196A (en) | Information scheduling management system for maintenance | |
| CN115567563B (en) | Comprehensive transportation hub monitoring and early warning system based on end edge cloud and control method thereof | |
| CN111538720A (en) | Method and system for cleaning basic data in power industry | |
| CN105718602A (en) | Cloud system for work safety standardization of rural hydropower station | |
| CN109801416A (en) | A kind of total dimension computer lab management method of building together based on big data analysis | |
| CN115175188A (en) | Mobile security check terminal and security check system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |