CN115147086A - Monitoring and early warning platform system and method for salary payment of agricultural workers - Google Patents
Monitoring and early warning platform system and method for salary payment of agricultural workers Download PDFInfo
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Abstract
The invention discloses an agricultural and civil engineering wage payment early warning platform system and a method, which enter the agricultural and civil engineering wage payment early warning platform system by inputting account management information of a hosting enterprise or an engineering project, and set enterprise early warning indexes and project early warning indexes; constructing a supervision thematic analysis data center, adjusting macro variable setting parameters, and forming an agricultural and civil work wage payment early warning analysis model algorithm; performing early warning verification and judging whether early warning exists or not; if an early warning condition exists, performing early warning treatment work; if the early warning condition does not exist, returning the data to the algorithm for algorithm optimization; and finally, performing visual display. The invention enhances the cooperative sharing and effective connection of data, reduces the problems of repeated acquisition and repeated uploading of related information and imperfect data analysis of enterprises, carries out supervision and feedback in time, improves the decision efficiency and service level of decision departments, and is beneficial to the effective maintenance of labor reward rights and interests of farmers.
Description
Technical Field
The invention relates to a platform system and a method, in particular to an agricultural worker salary payment monitoring and early warning platform system and a method.
Background
After years of informatization, informationized systems applied to different supervision industries are established in various places, but due to limitation on systems such as function division, data sharing between a rural and civil worker wage payment monitoring and early warning platform to be built in various places and other informationized platforms in the engineering construction field is not thorough, the problems of repeated acquisition and uploading of relevant information of enterprises and incomplete data analysis exist, supervision feedback is not timely, and careless mistakes of all the systems in the aspects of resource sharing, coordination and the like are easy to occur.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides a monitoring and early warning platform system and a method for salary payment of agricultural workers.
In order to solve the technical problems, the invention adopts the technical scheme that: an agricultural and civil engineering wage payment early warning platform system, it includes:
the account management module is used for inputting managed enterprises and engineering projects;
the enterprise early warning index module is used for setting enterprise early warning index contents;
the project early warning index module is used for setting the content of project early warning indexes;
the supervision thematic analysis data center module is used for constructing a supervision thematic analysis data center;
the macro variable setting module is used for setting parameters of the early warning analysis model;
the agricultural and civil salary payment early warning analysis model is used for processing agricultural and civil salary payment early warning analysis data;
the early warning verification module is used for judging whether an early warning exists or not;
the machine learning algorithm optimization module returns to the agricultural worker salary payment early warning analysis model for optimization when the early warning verification module judges that no early warning exists;
the early warning processing module is used for notifying the processing work when the early warning verification module judges that the early warning exists;
and the visual display module is used for displaying the early warning data.
An early warning method of an agricultural worker salary payment early warning platform system comprises the following processes:
inputting account management information of a managed enterprise or an engineering project into an agricultural and civil engineering wage payment early warning platform system, and setting enterprise early warning indexes and project early warning indexes;
constructing a supervision thematic analysis data center, adjusting macro variable setting parameters, and forming an agricultural and civil engineering wage payment early warning analysis model algorithm;
performing early warning verification to judge whether early warning exists or not;
if an early warning condition exists, performing early warning treatment work;
if the early warning condition does not exist, returning the data to the agricultural and civil engineering wage payment early warning analysis model algorithm for algorithm optimization;
finally, the early warning data are displayed visually.
Furthermore, the comprehensive data collection platform comprehensively collects the agricultural and civil work and wage related service information scattered at all places into a big data topic library, and extracts data required by topic analysis from the big data topic library by combining with the actual scene service requirements of the topic analysis.
Furthermore, early warning rule setting is carried out in a mode of traffic, regular expression and visual image configuration, and enterprise early warning and engineering project early warning are included.
Further, three types of early warning models are included for early warning, namely enterprise production and operation abnormity early warning, daily supervision enterprise-involved delinquent wage condition abnormity early warning and construction project wage payment abnormity early warning;
the enterprise production and operation abnormity early warning and the daily supervision enterprise-related default wage condition abnormity early warning are used for early warning enterprises in the model base, and the project wage payment abnormity early warning in the construction project is used for early warning projects in the model base.
Further, an artificial intelligence model training technology is adopted, model training is carried out autonomously in a mode of historical data and feature analysis, meanwhile, model feature weighting factor coefficients are increased, and finally, a model algorithm is optimized autonomously and intelligently according to actual conditions.
Furthermore, early warning indexes are set in all the three types of early warning models, and the early warning condition is obtained by adopting a superposition scoring mode according to the early warning indexes.
And further, performing closed-loop early warning treatment, and intelligently defining service closed-loop treatment process nodes and an information filling template in a mode of combining an intelligent workflow engine with an intelligent form and in a graphical mode.
Further, the visualization display comprises data presentation modes of an electronic map, a chart and mining analysis.
The invention discloses a rural labor wage payment early warning platform system and an early warning method, which can be used for enhancing the cooperative sharing and effective connection of a labor guarantee supervision related system and a rural labor wage payment monitoring early warning platform, reducing the occurrence of problems of repeated collection, repeated uploading of related information and incomplete data analysis of enterprises, carrying out supervision feedback in time, improving the decision efficiency and the service level of a decision department and contributing to the effective maintenance of labor remuneration rights and interests of rural workers.
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Fig. 1 is a schematic diagram of the early warning process of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The invention discloses a monitoring and early warning platform system and an early warning method for the salary payment of agricultural workers, which aim at treating the owing salary of the agricultural workers, apply big data analysis, supervise source treatment, whole-course feedback, prevention and treatment combination, treat both principal and secondary aspects of diseases, supervise and standardize the salary payment behavior in real time, effectively form cooperative operation of all departments, and realize the salary compensation.
The invention discloses an agricultural and civil engineering wage payment early warning platform system, which comprises the following functional modules:
the platform account management module is used for inputting managed enterprises and engineering projects;
the enterprise early warning index module is used for setting the content of enterprise early warning indexes;
the project early warning index module is used for setting the content of project early warning indexes;
the monitoring thematic analysis data center module is used for constructing a monitoring thematic analysis data center;
the macro variable setting module is used for setting parameters of the early warning analysis model;
the agricultural and civil salary payment early warning analysis model is used for processing agricultural and civil salary payment early warning analysis data;
the early warning verification module is used for judging whether an early warning exists or not;
the machine learning algorithm optimization module returns to the agricultural worker salary payment early warning analysis model for optimization when the early warning verification module judges that no early warning exists;
the early warning processing module is used for informing the processing work when the early warning verification module judges that the early warning exists;
and the visual display module is used for displaying the early warning data.
With reference to the early warning flow chart shown in fig. 1, the early warning method of the monitoring and early warning platform system for the salary payment of the agricultural industry and civil engineering includes the following processes:
inputting account management information of a managed enterprise or an engineering project into an agricultural and civil engineering wage payment early warning platform system, and setting enterprise early warning indexes and project early warning indexes;
constructing a supervision thematic analysis data center, adjusting macro variable setting parameters, and forming an agricultural and civil engineering wage payment early warning analysis model algorithm;
performing early warning verification to judge whether early warning exists or not;
if the early warning condition exists, performing early warning treatment work; performing problem verification on site by law enforcement personnel, disposing enterprises or engineering projects with problems and tracking disposition progress until early warning is eliminated and then archiving;
if the early warning condition does not exist, returning the data to the agricultural and civil salary payment early warning analysis model algorithm for algorithm optimization;
finally, the early warning data are visually displayed, and the visual display of the early warning data in various aspects such as enterprise monitoring, project monitoring, panoramic comprehensive situation and the like is carried out.
The specific working process comprises the following steps:
1. comprehensive enterprise and project ledger information collection: the prior relevant information of agricultural and civil work and wage payment is dispersed in a plurality of departments such as human society, civil administration, work and trust, modification, tax, housing and construction, commercial banks and the like, different information is stored in B/S, C/S, databases, texts and various network environments, and the comprehensive data collection platform integrating various data collection technical means such as ETL, database extraction, text analysis, webpage capture, interface butt joint and the like is constructed to realize the comprehensive collection and storage of relevant business information.
And (4) performing big data analysis problem definition by combining the big data thematic analysis application actual service scene requirements of each department, wherein the big data analysis problem definition comprises analysis, study and judgment model definition, data algorithm and service logic combing, early warning index algorithm definition and the like.
According to the difference of the application fields of urban big data service themes, the definition and the construction of theme base resource catalogues are carried out on the basis of six basic bases of population, legal person, geographic information, credit, electronic certificate and macro economy and department data sharing, and meanwhile, the filling acquisition of partial data is carried out according to the construction requirements of the theme base.
On the basis of a big data topic library, data required by topic analysis are extracted from the topic library by combining with the actual scene business requirements of the topic analysis.
2. The intelligent management tool for the early warning rules of multiple conditions sets the early warning rules: the agricultural and civil work and wage payment early warning platform comprises engineering project early warning and enterprise early warning, and comprises index state early warning, index item integral early warning, comprehensive index calculation early warning and other various model early warning analysis from the perspective of early warning index actual service demand, and the early warning rule setting is assisted by a set of early warning rule intelligent management tool capable of supporting multiple conditions for service personnel, and the setting of complex early warning rules is realized by adopting the technical means of business volume + regular expression + visual image configuration.
The early warning models are divided into three categories, namely enterprise alleged-operation abnormal early warning, daily supervision enterprise-involved delinquent wage condition abnormal early warning and enterprise-involved delinquent wage payment abnormal early warning in construction project, wherein the enterprise production and operation abnormal early warning and the daily supervision enterprise-involved delinquent wage condition abnormal early warning are used for early warning the enterprises in the model base, and the enterprise production and operation abnormal wage payment abnormal early warning in the construction project is used for early warning the projects in the model base.
The three types of early warning models are divided into multistage early warning indexes, including a first-stage index, the lower part of the first-stage index is divided into a second-stage index, the second-stage index is divided into three stages of indexes, the early warning indexes are refined step by step, the early warning model for agricultural and civil wage payment early warning is formed jointly, a three-color early warning multi-condition infinite superposition comprehensive early warning mechanism is implemented for early warning of each third-stage index, if the water consumption of an enterprise is abnormal in the third-stage index, the system can carry out monthly cyclic ratio analysis on the water consumption of each enterprise, if the water consumption is found to be reduced by 20% -50% in the last month, low risk early warning can be carried out on the enterprise, and 1 minute is added; reducing by 51-70%, carrying out risk early warning on the enterprise, and adding 2 points; and reducing by more than 70%, carrying out high-risk early warning on the enterprise, and adding 3 points. And (4) performing cumulative points according to the number of high, medium and low risks triggered in each enterprise and project, wherein red early warning is performed when the number is more than 10 points, orange early warning is performed when the number is 7-9 points, yellow early warning is performed when the number is 4-6 points, and corresponding measures can be taken by departments to perform treatment according to the early warning degree.
In addition, in addition to the accumulated points, an accumulated early warning mechanism is provided, if risk early warning exists in the previous month, but the enterprise or project with the red-orange-yellow early warning is not hit by the accumulated points, and if the risk early warning of the same type exists in the current month, the enterprise or project is subjected to the disposal of the early warning points in the previous month until the enterprise or project is hit by the red-orange-yellow early warning and pushed to relevant departments for disposal, and then the early warning points are recalculated.
3. Constructing an autonomous learning early warning analysis model algorithm: the accuracy of early warning in the agricultural and civil salary payment early warning platform plays an important role in the application of the platform, but in the actual business development process, the accuracy of an early warning analysis algorithm is low due to various practical and objective conditions and the abnormal manageability of sudden indexes, meanwhile, the individual requirements of actual conditions of all places on the early warning analysis model algorithm are high, in order to guarantee the accuracy and the land falling performance of the early warning analysis of the platform, an artificial intelligent model training technology is adopted, model training is autonomously carried out in a mode of sampling historical data plus characteristic analysis, meanwhile, the characteristic weighting factor coefficient of the model is increased, and finally, the model algorithm is continuously and intelligently optimized according to the actual conditions of the places.
The processing mode of data required by the model in the agricultural and civil engineering wage payment early warning platform is a training data sampling and preprocessing mode, firstly, related data of enterprises and projects are subjected to labeling processing, corresponding labels are printed on the enterprises and the projects in combination, and then data aggregation is carried out according to the labels.
Secondly, the data value is normalized, the three-level index model is normalized dimensionless based on historical data of enterprises and projects, and finally all indexes are converted into logic values, so that the data model has effects. And training and calibrating according to multiple times of data, so that corresponding enterprises and projects can be warned more and more accurately by the data model.
4. Closed-loop early warning treatment: the important point of the agricultural and civil salary payment early warning platform is that an integrated closed-loop disposal process for finding and solving problems is completed, in order to meet the individual requirements of disposal in business processes in various places, an intelligent salary flow engine is sampled, an intelligent form technology is combined, and business closed-loop disposal process nodes, namely a novel filling template, are intelligently defined in a graphical mode; meanwhile, in order to meet the application requirements of actual working scenes of different workers, the mode of combining the PC and the APP is adopted, and the application requirements of various service scenes are met.
5. Visual display: how to efficiently, visually and scientifically display the related business data of various types of agricultural and civil salary payments to various personnel is also one of key tasks for the construction of the platform system, and a large data visualization technical means is adopted to support various data presentation modes such as electronic maps, various charts, mining analysis and the like, so that the usability and the practicability of the platform are improved.
And by combining a visual display tool and visually displaying the thematic model and the analysis result thereof, the visual monitoring and disposal of the thematic analysis service content are realized.
In conclusion, the invention monitors and warns the personnel units in the municipal district, carries out enterprise data on leading group member units and related units of the municipal radical debarked agricultural and civil wage work, refines the early warning indexes from first-level early warning indexes such as production, operation, enterprise credit and enterprise employment to 35 small indexes such as water, electricity, gas and tax, perfects a comprehensive early warning mechanism by adopting a risk superposition scoring mode, and realizes enterprise wage payment early warning;
in data processing, the following technologies are mainly used: (1) The method comprises the following steps of large data acquisition, namely acquiring wages of structured and unstructured mass data from various sources, wherein the wages can be divided into four types according to acquisition modes, namely database acquisition, interface acquisition, web crawler acquisition and file acquisition; (2) Big data preprocessing, before carrying out data analysis, carry out a series of manipulations such as "cleaning, filling, smoothness, merge, normalization, uniformity inspection" to the Yuan data of gathering earlier to improve data quality, establish the basis for later analysis work. The data preprocessing mainly comprises three parts: data cleaning, data integration and data fusion. (3) Distributed storage, unlike the centralized storage technology in the current scenario, the distributed storage technology does not store data on a specific node or nodes, but uses disk space on each machine in the big data center through the network, and makes these distributed storage resources into a virtual storage device, where the data is stored in various corners of the big data center in a distributed manner. The data such as pictures, videos and materials uploaded by foreground users or background managers are used for quick reading, redundancy and backup. A distributed storage approach is adopted. According to the actual load and the data storage capacity, the horizontal or vertical extension can be conveniently carried out, and various application requirements are met.
Therefore, for the monitoring and early warning platform system and the early warning method for the salary payment of the agricultural and civil workers disclosed by the invention, the situation of 'heavy construction and light application' of a big data construction project is broken gradually by utilizing the continuous exploration and popularization of big data demonstration application, the data application requirements of related business departments are stimulated, and the construction of a big data demonstration application system is led.
The agricultural and civil engineering wage payment monitoring and early warning platform legally collects information in aspects of special account management, real-name system management, wage payment and the like, early warning is timely carried out on conditions violating the special account management, the labor cost allocation and the wage payment regulations, and dynamic supervision of the whole agricultural and civil engineering wage payment process of the engineering construction project is gradually realized. The cooperative sharing and effective connection of the labor guarantee supervision related system and the farmer wage payment monitoring and early warning platform are enhanced, the problems of repeated collection, repeated uploading of related information and imperfect data analysis of enterprises are reduced, supervision feedback is carried out in time, the decision efficiency and the service level of a decision department are improved, and the labor reward rights and interests of the farmer are effectively maintained.
The above embodiments are not intended to limit the present invention, and the present invention is not limited to the above examples, and those skilled in the art may make variations, modifications, additions or substitutions within the technical scope of the present invention.
Claims (9)
1. The utility model provides an agricultural and civil engineering salary payment early warning platform system which characterized in that: it includes:
the platform account management module is used for inputting managed enterprises and engineering projects;
the enterprise early warning index module is used for setting enterprise early warning index contents;
the project early warning index module is used for setting the contents of project early warning indexes;
the monitoring thematic analysis data center module is used for constructing a monitoring thematic analysis data center;
the macro variable setting module is used for setting parameters of the early warning analysis model;
the agricultural and civil salary payment early warning analysis model is used for processing agricultural and civil salary payment early warning analysis data;
the early warning verification module is used for judging whether an early warning exists or not;
the machine learning algorithm optimization module returns to the agricultural worker salary payment early warning analysis model for optimization when the early warning verification module judges that no early warning exists;
the early warning processing module is used for notifying the processing work when the early warning verification module judges that the early warning exists;
and the visual display module is used for displaying the early warning data.
2. An early warning method of the agricultural wage payment early warning platform system according to claim 1, characterized in that: the method comprises the following steps:
inputting account management information of a managed enterprise or an engineering project into an agricultural and civil engineering wage payment early warning platform system, and setting enterprise early warning indexes and project early warning indexes;
constructing a supervision thematic analysis data center, adjusting macro variable setting parameters, and forming an agricultural and civil engineering wage payment early warning analysis model algorithm;
performing early warning verification and judging whether early warning exists or not;
if an early warning condition exists, performing early warning treatment work;
if the early warning condition does not exist, returning the data to the agricultural and civil salary payment early warning analysis model algorithm for algorithm optimization;
finally, the early warning data are displayed visually.
3. The early warning method of the agricultural and civil salary payment early warning platform system as claimed in claim 2, wherein: comprehensive data collection platform comprehensively collects the agricultural and civil work and wage related business information scattered in various places into a big data subject library, and extracts data required by thematic analysis from the big data subject library in combination with the actual scene business requirements of thematic analysis.
4. The early warning method of the agricultural wage payment early warning platform system according to claim 3, characterized in that: and setting early warning rules by adopting a mode of business volume, regular expression and visual image configuration, wherein the early warning rules comprise enterprise early warning and engineering project early warning.
5. The early warning method of the agricultural and civil salary payment early warning platform system according to claim 4, wherein: the method comprises three types of early warning models for early warning, namely enterprise production and operation abnormity early warning, daily supervision enterprise-involved delinquent wage condition abnormity early warning and project wage payment abnormity early warning in construction;
the enterprise production and operation abnormity early warning and the daily supervision enterprise-related default wage condition abnormity early warning are used for early warning enterprises in the model base, and the project wage payment abnormity early warning in the construction project is used for early warning projects in the model base.
6. The early warning method of the agricultural wage payment early warning platform system according to claim 5, characterized in that: and (3) performing model training autonomously by adopting an artificial intelligence model training technology and a historical data and characteristic analysis mode, increasing a model characteristic weighting factor coefficient, and finally continuously and autonomously optimizing a model algorithm according to actual conditions.
7. The early warning method of the agricultural wage payment early warning platform system according to claim 6, characterized in that: early warning indexes are set in all the three types of early warning models, and early warning conditions are obtained in a superposition scoring mode according to the early warning indexes.
8. The early warning method of the agricultural wage payment early warning platform system according to claim 7, characterized in that: and performing closed-loop early warning treatment, and intelligently defining service closed-loop treatment process nodes and an information filling template in a graphical mode by adopting an intelligent workflow engine in combination with an intelligent form.
9. The early warning method of the agricultural and civil salary payment early warning platform system according to claim 8, wherein: the visualization display comprises data presentation modes of an electronic map, a chart and mining analysis.
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