CN112465480A - A real name system management system of labor affairs for building trade - Google Patents
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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.
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