Index center operation management system and method

Abstract

The invention provides an index center operation management system and method, and the system comprises a unified data platform portal which is used for achieving the data asset convergence and capability multiplexing of a cross-department business system; the heterogeneous business application front end is used for providing cross-platform multi-dimensional business interaction services including index container display and early warning information acquisition and processing; the index management module is used for constructing a coverage index development, operation and maintenance management system, realizing end-to-end management and control from business requirements to data services, and covering the capabilities of index definition, index configuration, index data storage and external data gateway; the early warning management module is used for monitoring the index data in real time according to a preset alarm value and an alarm range, and automatically triggering an early warning notification when the index data exceeds the preset range; the heterogeneous service application rear end is used for realizing service processing and data interaction of the system; according to the invention, the manual operation cost can be reduced, the project management efficiency is improved, and the accuracy and timeliness of project data are ensured.

Description

Technical Field

[0001] This invention relates to the field of building information management technology, and in particular to an indicator center operation management system and its operation method for a unified development platform, which aims to improve the data monitoring, analysis and early warning capabilities in the building project management process through intelligent and automated means. Background Technology

[0002] In construction project management, data monitoring, statistics, and analysis are crucial for ensuring smooth project progress. Traditionally, the collection, organization, and analysis of this data largely rely on manual operations, which are not only inefficient but also prone to errors. With the advancement of digital transformation, the indicator center, as a core component of a unified development platform, plays a vital role in improving project management. However, existing platforms still have many shortcomings in the operation and management of indicator centers, such as cumbersome procedures, inflexible indicator configuration, and inadequate early warning mechanisms. These problems seriously affect the efficiency of project management and the accuracy of data. Summary of the Invention

[0003] This invention provides an indicator center operation management system and method. The purpose of this invention is to provide an efficient and flexible indicator center operation management system and method, which reduces manual operation costs, improves project management efficiency, and ensures the accuracy and timeliness of project data by optimizing indicator definition, configuration, and early warning processes.

[0004] An indicator center operation management system includes:

[0005] A unified data platform portal is used to aggregate data assets and reuse capabilities across business systems across departments.

[0006] Heterogeneous business application front-end, used to provide cross-platform multi-dimensional business interaction services, including indicator container display and early warning information acquisition and processing;

[0007] The indicator management module is used to build a system covering indicator development and operation and maintenance management, and realize end-to-end control from business needs to data services. It covers the ability to define indicators, configure indicators, store indicator data, and provide external data gateways.

[0008] The early warning management module is used to monitor indicator data in real time according to preset alarm values ​​and alarm ranges, and automatically trigger early warning notifications when indicator data exceeds the preset range.

[0009] Heterogeneous business application backends are used to implement the system's business processing and data interaction.

[0010] Furthermore, the indicator management module includes:

[0011] The indicator definition module allows business personnel to customize indicators according to actual needs, including key information such as indicator name, code, status, data retrieval API, business definition, responsible department, business statistical scope, calculation factor, data precision, measurement unit, alarm value and alarm range;

[0012] The indicator configuration module allows users to flexibly configure indicators as needed, including control name, control code, control style, card name, card code, and indicator type.

[0013] The data gateway module is used to provide routing services for indicator data to external systems, enabling accurate distribution and controlled sharing of cross-system data services.

[0014] The metrics data warehouse module is used to aggregate and store multi-period, multi-dimensional non-real-time metrics data from different business applications.

[0015] Furthermore, the early warning management module includes:

[0016] The early warning calculation module is used to perform anomaly detection calculations on early warning indicators in real time, so as to realize real-time perception of risk indicators and multi-dimensional anomaly pattern recognition.

[0017] The periodic scheduling engine module is used to build a cross-business domain time-series collaborative control engine to achieve intelligent scheduling of periodic jobs in the business chain.

[0018] Furthermore, the heterogeneous business application front end also includes an indicator container, which is used to dynamically embed different business indicators into the business application front end. It is built based on a unified indicator library, supports multiple filtering conditions, and can be quickly assembled into an interactive dashboard.

[0019] A method for managing the operation of an indicator center includes the following steps:

[0020] A unified data platform portal enables the aggregation of data assets and the reuse of capabilities across departmental business systems.

[0021] Provide cross-platform, multi-dimensional business interaction services at the front end of heterogeneous business applications, including indicator container display and early warning information acquisition and processing;

[0022] The indicator management module builds a system covering indicator development and operation and maintenance management, realizing end-to-end control from business needs to data services, covering indicators definition, indicator configuration, indicator data storage and external data gateway capabilities;

[0023] The early warning management module monitors the indicator data in real time according to the preset alarm values ​​and alarm ranges, and automatically triggers an early warning notification when the indicator data exceeds the preset range.

[0024] Implement system business processing and data interaction in the backend of heterogeneous business applications.

[0025] Furthermore, the operation steps of the indicator management module include:

[0026] Business personnel are allowed to customize indicators according to actual needs, including key information such as indicator name, code, status, data retrieval API, business definition, responsible department, business statistical scope, calculation factor, data precision, measurement unit, alarm value and alarm range;

[0027] Users can flexibly configure indicators as needed, including control name, control code, control style, card name, card code, and indicator type.

[0028] Provide routing services for external indicator data to achieve accurate distribution and controlled sharing of cross-system data services;

[0029] Aggregate and store multi-period, multi-dimensional non-real-time indicator data from different business applications.

[0030] Furthermore, the operation steps of the early warning management module include:

[0031] Real-time anomaly detection calculations are performed on early warning indicators to achieve real-time perception of risk indicators and multi-dimensional anomaly pattern recognition;

[0032] Build a cross-business domain time-series collaborative control engine to achieve intelligent scheduling of periodic tasks in the business chain.

[0033] Furthermore, the heterogeneous business application front end also includes the operation steps of indicator containers, which are used to dynamically embed different business indicators on the business application front end. Based on a unified indicator library, it supports multiple filtering conditions and can be quickly assembled into an interactive dashboard.

[0034] Compared with the prior art, the beneficial effects of the present invention are:

[0035] 1. Business adaptability: By establishing a dynamic association between form dimensions and indicator definitions through no-code indicator configuration, and by constructing parameters driven by business forms, the coupling between the indicator management system and business scenarios is reduced, and the access time for new business forms is shortened from 1 week in the traditional solution to 2 hours.

[0036] 2. Heterogeneous compatibility: Through dynamic mapping and adapter architecture, it supports seamless access for more than dozens of heterogeneous business applications, reducing parameter adaptation workload by 90%;

[0037] 3. Real-time performance: The detection and early warning fusion mechanism achieves second-level response, and the average detection time of abnormal indicators is improved from T+1 hours to real-time perception.

[0038] 4. Through automated and intelligent technologies, this invention significantly improves the efficiency and data accuracy of construction project management, enhances early warning response speed, optimizes operational processes, and improves business adaptability and heterogeneous compatibility. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the management system of the present invention;

[0040] Figure 2 This is a flowchart of the management method of the present invention. Detailed Implementation

[0041] This invention provides an indicator center operation management system and method, such as... Figure 1 As shown, the indicator center operation management system of the present invention adopts a layered architecture design and mainly includes the following components:

[0042] Unified Data Platform Portal

[0043] As the digital hub for the digital transformation of the construction industry, the unified data platform portal achieves data asset aggregation and capability reuse across departmental business systems through a unified service bus (ESB). The platform focuses on building an enterprise-level master data governance system and standardized service components, supporting the integration and collaboration of heterogeneous business applications by establishing a unified metadata management framework. The platform provides core functions such as data governance, data sharing, and data security to ensure data consistency and availability.

[0044] Heterogeneous business application front end

[0045] The heterogeneous business application front-end serves as the user touchpoint layer of an enterprise-level digital system, providing cross-platform, multi-dimensional business interaction services to end users. In the construction engineering field, multi-departmental collaborative operations involve complex interaction scenarios across heterogeneous business systems such as design modeling, cost management, schedule control, material management, and quality tracking. The front-end system achieves real-time monitoring of multi-dimensional data indicators and early warnings by constructing indicator containers for displaying different business application scenarios and acquiring and processing early warning information.

[0046] Indicator Management Module

[0047] The metrics management module is a core component of the metrics center, used to build a comprehensive system covering metrics development and operation management, achieving end-to-end control from business needs to data services. This module includes the following sub-modules:

[0048] Indicator definition module

[0049] Business personnel can customize metrics according to actual needs, including key information such as metric name, code, status, data retrieval API, business definition, responsible department, business statistical scope, calculation factor, data precision, measurement unit, alarm value, and alarm range. Metric codes adopt a unique coding rule across the entire group to ensure the uniqueness and traceability of metrics. After business personnel fill in the above information, the system will automatically verify its completeness and validity, ensuring the accuracy and standardization of metric definitions.

[0050] The metric definition module is the foundation of the metric center, allowing business users to customize metrics according to actual needs. The specific implementation steps are as follows:

[0051] Input indicator information

[0052] Business personnel input key information such as indicator name, code, status, data retrieval API, business definition, responsible department, business statistical scope, calculation factor, data precision, measurement unit, alarm value, and alarm range through a graphical interface. For example, a "project progress indicator" can be defined with the name "Project Progress", code "PROGRESS_001", data retrieval API " / api / project / progress", business definition "ratio of actual project progress to planned progress", and alarm value "below 80%".

[0053] Verification indicator information

[0054] The system validates the input indicator information, checking whether the indicator name, code, etc., conform to the specifications and whether there are any issues such as duplicate codes. After successful validation, the indicator information is saved to the indicator definition library.

[0055] Generate unique code

[0056] The system generates a unique code for each indicator across the entire group, ensuring the uniqueness and traceability of the indicators. The coding rules can be generated by combining information such as project number, department number, and timestamp, for example, "PROJ_001_DEPT_001_20240613".

[0057] Indicator Configuration Module

[0058] Users can flexibly configure metrics as needed. Users can customize control names, control codes, control styles (single metric, dual metric, triple metric, etc.), card names, card codes, and metric types (early warning metric, non-early warning metric). During configuration, the system will automatically check the uniqueness and consistency of configuration items to avoid duplicate configurations and conflicts. Metric configurations will establish a one-to-one or many-to-one association management with metric definitions, simultaneously building a mapping relationship between business parameters and multi-dimensional parameters of the metric definitions.

[0059] Data gateway module

[0060] As the unified data output hub of the indicator system, the data gateway module provides routing services for indicator data to external systems, enabling precise distribution and controlled sharing of cross-system data services. Based on parameter vector input from the indicator container, the data gateway obtains indicator routing rules from indicator configuration and definition, completes the mapping of indicator types and dimensions, and loads indicator data from the indicator data warehouse and business applications based on a dynamic routing indicator data acquisition algorithm.

[0061] Indicator Data Warehouse Module

[0062] The indicator data warehouse module serves as the unified data storage engine for the indicator system, aggregating and storing multi-period, multi-dimensional, non-real-time indicator data from different business applications. This module supports efficient data storage, querying, and analysis, providing data support for indicator management and early warning management.

[0063] Early warning management module

[0064] The early warning management module can monitor indicator data in real time based on preset alarm values ​​and alarm ranges. When the indicator data exceeds the preset range, the system will automatically trigger an early warning notification to remind relevant personnel to take timely measures. Early warning notifications can be sent through various channels, such as system messages, emails, and SMS messages, ensuring that information is delivered to relevant personnel in a timely manner. This module includes the following sub-modules:

[0065] Early warning calculation module

[0066] The system performs real-time anomaly detection calculations on early warning indicators, enabling real-time perception of risk indicators and multi-dimensional anomaly pattern recognition. The early warning calculation module employs dynamic rule engine technology, supporting dynamic rule updates and distributed execution, and can quickly identify abnormal situations based on preset early warning rules.

[0067] Periodic scheduling engine module

[0068] A cross-business domain time-series collaborative control engine is built, enabling intelligent scheduling of periodic tasks across business chains based on distributed task orchestration technology. This module supports multi-granularity task orchestration, ranging from second-level real-time data acquisition to annual business analysis, ensuring the organic collaboration and precise connection of business flows, data flows, and decision flows. The periodic scheduling engine, based on the needs of heterogeneous business application backends, initiates timed indicator interface scheduling to support the generation of periodic indicator data.

[0069] Heterogeneous business application backend

[0070] Based on the industry's digital transformation needs, the heterogeneous business application backend is built for different businesses, enabling system business processing and data interaction. This module is driven by a periodic scheduling engine, which pushes the timed indicator data to the indicator data warehouse in the indicator management system after the internal business indicator calculation is completed.

[0071] like Figure 2 As shown, the operation process of this invention is as follows:

[0072] Indicator Definition

[0073] Business personnel define new metrics through the metric definition module, filling in key information such as metric name, code, status, data retrieval API, and business definition. The system validates the input information to ensure its completeness and validity. Metric codes adopt a unique coding rule across the entire group to ensure the uniqueness and traceability of metrics.

[0074] Indicator Configuration

[0075] Users configure predefined metrics through the metric configuration module, setting control names, control codes, control styles, card names, card codes, and metric types. The system automatically checks the uniqueness and consistency of configuration items to avoid duplicate configurations and conflicts.

[0076] Data loading and display

[0077] The metric container retrieves a collection of metric controls from the metric configuration based on business form binding relationships and form patterns. It dynamically analyzes business form query parameters to generate a unified query parameter vector for each metric control. The metric controls then send a metric data loading command to the data gateway. The data gateway loads metric data from the metric data warehouse and business applications according to routing rules and returns it to the metric container for display.

[0078] Early warning and monitoring

[0079] The early warning management module monitors indicator data in real time. When the data exceeds the preset alarm range, the early warning calculation module starts early warning calculation, generates an early warning notification, and pushes it to relevant personnel through multiple channels.

[0080] Periodic scheduling

[0081] The periodic scheduling engine drives the heterogeneous business application backends to calculate and push indicator data according to a preset time period. After the calculation is completed, the indicator data is pushed to the indicator data warehouse for use by the indicator management and early warning management modules.

[0082] The above technical solutions are merely exemplary embodiments of the present invention. For those skilled in the art, based on the application methods and principles disclosed in the present invention, it is easy to make various types of improvements or modifications, and not limited to the methods described in the specific embodiments of the present invention. Therefore, the methods described above are merely preferred and not restrictive.

Claims

1. An indicator center operation management system, characterized in that, include: A unified data platform portal is used to aggregate data assets and reuse capabilities across business systems across departments. Heterogeneous business application front-end, used to provide cross-platform multi-dimensional business interaction services, including indicator container display and early warning information acquisition and processing; The indicator management module is used to build a system covering indicator development and operation and maintenance management, and realize end-to-end control from business needs to data services. It covers the ability to define indicators, configure indicators, store indicator data, and provide external data gateways. The early warning management module is used to monitor indicator data in real time according to preset alarm values ​​and alarm ranges, and automatically trigger early warning notifications when indicator data exceeds the preset range. Heterogeneous business application backends are used to implement the system's business processing and data interaction.

2. The indicator center operation management system according to claim 1, characterized in that, The indicator management module includes: The indicator definition module allows business personnel to customize indicators according to actual needs, including key information such as indicator name, code, status, data retrieval API, business definition, responsible department, business statistical scope, calculation factor, data precision, measurement unit, alarm value and alarm range; The indicator configuration module allows users to flexibly configure indicators as needed, including control name, control code, control style, card name, card code, and indicator type. The data gateway module is used to provide routing services for indicator data to external systems, enabling accurate distribution and controlled sharing of cross-system data services. The metrics data warehouse module is used to aggregate and store multi-period, multi-dimensional non-real-time metrics data from different business applications.

3. The indicator center operation management system according to claim 1, characterized in that, The early warning management module includes: The early warning calculation module is used to perform anomaly detection calculations on early warning indicators in real time, so as to realize real-time perception of risk indicators and multi-dimensional anomaly pattern recognition. The periodic scheduling engine module is used to build a cross-business domain time-series collaborative control engine to achieve intelligent scheduling of periodic jobs in the business chain.

4. The indicator center operation management system according to any one of claims 1-3, characterized in that, The heterogeneous business application front end also includes an indicator container, which is used to dynamically embed different business indicators into the business application front end. It is built based on a unified indicator library, supports multiple filtering conditions, and can be quickly assembled into an interactive dashboard.

5. A method for operating and managing an indicator center, characterized in that, Includes the following steps: A unified data platform portal enables the aggregation of data assets and the reuse of capabilities across departmental business systems. Provide cross-platform, multi-dimensional business interaction services at the front end of heterogeneous business applications, including indicator container display and early warning information acquisition and processing; The indicator management module builds a system covering indicator development and operation and maintenance management, realizing end-to-end control from business needs to data services, covering indicators definition, indicator configuration, indicator data storage and external data gateway capabilities; The early warning management module monitors the indicator data in real time according to the preset alarm values ​​and alarm ranges, and automatically triggers an early warning notification when the indicator data exceeds the preset range. Implement system business processing and data interaction in the backend of heterogeneous business applications.

6. The indicator center operation management method according to claim 5, characterized in that, The operation steps of the indicator management module include: Business personnel are allowed to customize indicators according to actual needs, including key information such as indicator name, code, status, data retrieval API, business definition, responsible department, business statistical scope, calculation factor, data precision, measurement unit, alarm value and alarm range; Users can flexibly configure indicators as needed, including control name, control code, control style, card name, card code, and indicator type. Provide routing services for external indicator data to achieve accurate distribution and controlled sharing of cross-system data services; Aggregate and store multi-period, multi-dimensional non-real-time indicator data from different business applications.

7. The indicator center operation management method according to claim 5 or 6, characterized in that, The operation steps of the early warning management module include: Real-time anomaly detection calculations are performed on early warning indicators to achieve real-time perception of risk indicators and multi-dimensional anomaly pattern recognition; Build a cross-business domain time-series collaborative control engine to achieve intelligent scheduling of periodic tasks in the business chain.

8. The indicator center operation management method according to claim 7, characterized in that, The heterogeneous business application front end also includes the operation steps of the indicator container, which is used to dynamically embed different business indicators on the business application front end. It is built based on a unified indicator library, supports multiple filtering conditions, and can be quickly assembled into an interactive dashboard.

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