CN109858807B - Enterprise operation monitoring method and system - Google Patents
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Abstract
The invention provides a method and a system for enterprise operation monitoring, wherein the method comprises the following steps: integrating a plurality of business systems of an enterprise into a unified platform; setting a monitoring period, a monthly index data target value, a monthly early warning mode and a monthly early warning range, and setting an annual index data target value, an annual early warning mode and an annual early warning range; acquiring monthly core index data and annual core index data in a plurality of service systems from the unified platform; and calculating a difference value between the monthly core index data and a monthly index data target value as a first difference value, and a difference value between the annual core index data and an annual index data target value as a second difference value, judging whether the monthly core index data corresponds to a normal index, an attention-required index or an alarm index, and judging whether the annual core index data corresponds to a normal index, an attention-required index or an alarm index. The invention can realize the unified monitoring and management of enterprise operation work, and greatly improves the working efficiency of enterprise operation monitoring.
Description
Technical Field
The invention relates to the technical field of enterprise monitoring, in particular to a method and a system for enterprise operation monitoring.
Background
The existing enterprise monitoring scheme is that each department of a company monitors related indexes in a system responsible for the department, data collection is carried out manually, and finally, personnel of each department report the data to the company leader, the manual data collection leads to complex calculation and easy error and low efficiency, and the defects of inconsistent reported data among the departments, non-uniform early warning levels among different departments, untimely data reporting, high communication cost among the departments and the like exist. Although the existing enterprise data management system can monitor the related data of the enterprise, the existing enterprise data management system has the problems of poor timeliness, few monitoring types, unobtrusive display effect, non-uniform alarm range, incapability of timely alarming when the alarm appears in the monitoring content, incapability of timely notifying related personnel after the alarm, untimely subsequent feedback of the related personnel after the alarm and the like. Therefore, a scheme for uniformly monitoring and managing the operation work of different departments in an enterprise is needed, so that the work efficiency is improved.
Disclosure of Invention
In order to solve the technical problems, the invention provides a method and a system for enterprise operation monitoring, which can realize the unified monitoring and management of enterprise operation work and greatly improve the working efficiency of enterprise operation monitoring.
The invention provides a method for enterprise operation monitoring, which comprises the following steps:
integrating a plurality of business systems of an enterprise into a unified platform, the plurality of business systems comprising: the system comprises a scheduling service system, a marketing system, a client information system, a distribution network scheduling system, an enterprise asset system, a metering system and a financial system;
setting a monitoring period, a monthly index data target value, a monthly early warning mode and a monthly early warning range, and setting an annual index data target value, an annual early warning mode and an annual early warning range;
acquiring monthly core index data and annual core index data which need to be monitored in a plurality of service systems from the unified platform according to a set monitoring period;
calculating a difference value between the monthly core index data and a monthly index data target value as a first difference value, and a difference value between the annual core index data and the annual index data target value as a second difference value, comparing the first difference value with a set monthly early warning mode and a monthly early warning range corresponding to the monthly early warning mode, judging whether the monthly core index data corresponds to a normal index, an index needing attention or an alarm index, comparing the second difference value with a set annual early warning mode and an annual early warning range corresponding to the annual early warning mode, and judging whether the annual core index data corresponds to a normal index, an index needing attention or an alarm index.
Preferably, the method further comprises the following steps:
and when the monthly core index data is an alarm index, notifying relevant workers of the monthly core index data in real time according to a set ID address of the relevant workers, and when the annual core index data is an alarm index, notifying the relevant workers of the annual core index data in real time according to a set ID address of the relevant workers.
Preferably, the method further comprises the following steps:
the monthly core index data and the annual core index data are gathered, the gathered monthly core index data and annual core index data are sent to operation monitoring personnel according to a set ID address of the operation monitoring personnel, an analysis report of the operation monitoring personnel on the monthly core index data and the annual core index data is obtained, and after the analysis report is obtained, the analysis report is sent to a decision leader according to a set ID address of the decision leader.
Preferably, the method further comprises the following steps:
acquiring service data needing daily monitoring in a plurality of service systems from the unified platform in real time according to a set monitoring period, counting and displaying the service data according to days, and sending the service data to a decision leader according to a set decision leader ID address, wherein the service data comprises: the system comprises power grid load data, power grid operation data, distribution transformer overload condition data, distribution network line tripping and power restoration condition data.
Preferably, the method further comprises the following steps:
dividing the business data into key business data, competitive business data and core index data according to a set business data division standard, and carrying out classification real-time monitoring and statistics on the key business data, the competitive business data and the core index data.
The invention also provides a system for enterprise operation monitoring, which comprises:
an integration module for integrating a plurality of business systems of an enterprise into a unified platform, the plurality of business systems comprising: the system comprises a scheduling service system, a marketing system, a client information system, a distribution network scheduling system, an enterprise asset system, a metering system and a financial system;
the setting module is used for setting a monitoring period, a monthly index data target value, a monthly early warning mode and a monthly early warning range, and setting an annual index data target value, an annual early warning mode and an annual early warning range;
the data acquisition module is used for acquiring monthly core index data and annual core index data which need to be monitored in the plurality of service systems from the unified platform according to a set monitoring period;
and the data analysis module is used for calculating a difference value between the monthly core index data and a monthly index data target value as a first difference value, and a difference value between the annual core index data and the annual index data target value as a second difference value, comparing the first difference value with a monthly early warning range corresponding to a set monthly early warning mode, judging whether the monthly core index data corresponds to a normal index, an index needing attention or a warning index, and comparing the second difference value with the annual early warning range corresponding to the set annual early warning mode, and judging whether the annual core index data corresponds to the normal index, the index needing attention or the warning index.
Preferably, the method further comprises the following steps:
and the early warning notification module is used for notifying the monthly core index data to relevant workers in real time according to a set ID address of the relevant workers when the monthly core index data is a warning index, and notifying the annual core index data to the relevant workers in real time according to the set ID address of the relevant workers when the annual core index data is the warning index.
Preferably, the method further comprises the following steps:
and the monitoring analysis module is used for summarizing the monthly core index data and the annual core index data, sending the summarized monthly core index data and the annual core index data to operation monitoring personnel according to a set ID address of the operation monitoring personnel, acquiring analysis reports of the monthly core index data and the annual core index data by the operation monitoring personnel, and sending the analysis reports to a decision leader according to a set ID address of the decision leader after the analysis reports are acquired.
Preferably, the method further comprises the following steps:
a daily attention module, configured to obtain, in real time, service data that needs to be monitored daily in a plurality of service systems from the unified platform according to a set monitoring period, count and display the service data by day, and send the service data to a decision leader according to a set decision leader ID address, where the service data includes: the system comprises power grid load data, power grid operation data, distribution transformer overload condition data, distribution network line tripping and power restoration condition data.
Preferably, the method further comprises the following steps:
and the data classification module is used for classifying the business data into key business data, competitive business data and core index data according to a set business data classification standard, and classifying the key business data, the competitive business data and the core index data for real-time monitoring and statistics.
The implementation of the invention has the following beneficial effects: other business systems in the enterprise are integrated to a unified platform, data direct acquisition and extraction are conveniently and uniformly carried out on a plurality of business systems, data integration is carried out, target values are set, an early warning mode is adopted, early warning ranges analyze acquired data, normal indexes are separated, indexes needing attention and warning indexes are needed, data analysis is highlighted, managers can know the operation condition of the enterprise in time, centralized acquisition is carried out on the index data of the business systems, the index data of different business systems are analyzed in a unified early warning mode and an early warning range, unified monitoring and management of enterprise operation work are achieved, manual operation and calculation are not needed for data acquisition and analysis, and the working efficiency of enterprise operation monitoring is greatly improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a method for enterprise operation monitoring provided by the present invention.
Fig. 2 is a schematic diagram of integrating multiple service systems according to the present invention.
Detailed Description
The invention provides a method for enterprise operation monitoring, which comprises the following steps as shown in figure 1:
integrating multiple business systems of an enterprise into a unified platform, referring to fig. 2, the multiple business systems include: the system comprises a scheduling service system, a marketing system, a client information system, a distribution network scheduling system, an enterprise asset system, a metering system and a financial system; the plurality of business systems respectively provide index data of a plurality of departments of an enterprise, and the plurality of business systems may further include other business systems, for example: enterprise integrated data platform, EIP system (Enterprise Information Portal), 4A (Authentication, authorization, accounting, and Audit), enterprise Information platform system, etc.; a plurality of service systems are integrated into a unified platform, so that the system is standard, efficient and comprehensive;
setting a monitoring period, a monthly index data target value, a monthly early warning mode and a monthly early warning range, and setting an annual index data target value, an annual early warning mode and an annual early warning range;
acquiring monthly core index data and annual core index data which need to be monitored in a plurality of service systems from the unified platform according to a set monitoring period;
and calculating a difference value between the monthly core index data and a monthly index data target value as a first difference value, and a difference value between the annual core index data and an annual index data target value as a second difference value, comparing the first difference value with a monthly early warning range corresponding to a set monthly early warning mode, judging whether the monthly core index data corresponds to a normal index, an index needing attention or an alarm index, and comparing the second difference value with the annual early warning range corresponding to the set annual early warning mode, and judging whether the annual core index data corresponds to the normal index, the index needing attention or the alarm index. For example, the early warning range (monthly early warning range or annual early warning range) is provided with three intervals, the early warning modes (monthly early warning mode or annual early warning mode) include normal mode, attention-needed mode and warning, the three intervals correspond to the normal mode, attention-needed mode and warning, and when the interval where the first difference is located corresponds to the early warning mode which needs attention, monthly core index data corresponding to the first difference is an index which needs attention.
Specifically, in work, the personnel operating the monitoring center needs to monitor and track 27 core indexes and nearly 100 indexes related to association in company operation, and the indexes can be divided into monthly indexes and annual indexes.
The monthly index (including monthly core index data) means that one month generates one data, that is, the monitoring period is monthly. The data sources of the monthly indicators are divided into two types: one is to automatically draw from other business systems by a program timer every month. The other is manual entry every month. At the beginning of each year, the personnel operating the monitoring center will configure a target value for each month for all monthly indicators. And the early warning mode and the early warning range of the monthly index. After the completion value of the monthly degree index is obtained, the system can judge whether the index is a normal index at the monthly degree, and the index needs to be concerned or an alarm index according to the target value, the completion value, the early warning mode and the early warning range of the index.
The annual index (including annual core index data) means that one data is generated in one year, that is, the monitoring period is year. The data sources of the annual index are divided into two types: one is to automatically draw from other business systems by a programmed timer each year. The other is manual entry each year. In the beginning of each year, the personnel operating the monitoring center will configure the target value for that year for all the annual indicators. And the early warning mode and the early warning range of the annual index. After the annual completion value of the annual index comes out, the system can judge whether the index is a normal index in the year, and the index or the alarm index needs to be concerned according to the target value, the completion value, the early warning mode and the early warning range of the index.
Further, the method for monitoring enterprise operation further comprises the following steps:
and when the monthly core index data is the alarm index, informing the monthly core index data to relevant workers in real time according to the set ID address of the relevant workers, and when the annual core index data is the alarm index, informing the annual core index data to the relevant workers in real time according to the set ID address of the relevant workers.
Further, the method for enterprise operation monitoring further comprises the following steps:
the monthly core index data and the annual core index data are collected, the collected monthly core index data and annual core index data are sent to operation monitoring personnel according to a set ID address of the operation monitoring personnel, analysis reports of the monthly core index data and the annual core index data are obtained by the operation monitoring personnel, and the analysis reports are sent to a decision leader according to a set ID address of the decision leader after the analysis reports are obtained.
Further, the method for monitoring enterprise operation further comprises the following steps:
acquiring service data needing daily monitoring in a plurality of service systems from a unified platform in real time according to a set monitoring period, counting and displaying the service data according to days, and sending the service data to a decision leader according to a set decision leader ID address, wherein the service data comprises: the system comprises power grid load data, power grid operation data, distribution transformer overload condition data, distribution network line tripping and power restoration condition data.
Further, the method for enterprise operation monitoring further comprises the following steps:
according to the set business data division standard, dividing the business data into key business data, competitive business data and core index data, and carrying out classification real-time monitoring and statistics on the key business data, the competitive business data and the core index data.
The invention also provides a system for enterprise operation monitoring, which comprises: the device comprises an integration module, a data acquisition module, a setting module and a data analysis module.
The integration module is used for integrating a plurality of business systems of an enterprise into a unified platform, and the business systems comprise: the system comprises a scheduling service system, a marketing system, a client information system, a distribution network scheduling system, an enterprise asset system, a metering system and a financial system.
The setting module is used for setting a monitoring period, a monthly index data target value, a monthly early warning mode and a monthly early warning range, and setting an annual index data target value, an annual early warning mode and an annual early warning range.
The data acquisition module is used for acquiring monthly core index data and annual core index data which need to be monitored in the plurality of service systems from the unified platform according to a set monitoring period.
The data analysis module is used for calculating a difference value between monthly core index data and a monthly index data target value as a first difference value and a difference value between annual core index data and an annual index data target value as a second difference value, comparing the first difference value with a monthly early warning range corresponding to a set monthly early warning mode, judging whether the monthly core index data corresponds to a normal index, an index needing attention or a warning index, comparing the second difference value with the annual early warning range corresponding to the set annual early warning mode, and judging whether the annual core index data corresponds to the normal index, the index needing attention or the warning index.
Further, the system for enterprise operation monitoring further comprises: and an early warning notification module.
The early warning notification module is used for notifying the monthly core index data to relevant workers in real time according to the set ID addresses of the relevant workers when the monthly core index data are warning indexes, and notifying the annual core index data to the relevant workers in real time according to the set ID addresses of the relevant workers when the annual core index data are warning indexes.
In the enterprise operation monitoring, when some alarming, serious indexes or other unreasonable conditions are found, personnel in an operation monitoring center can inform relevant personnel through the flow process function of the early warning informing module, so that related departments or personnel can know early warning contents, make corresponding explanations and plan measures to be taken, and finally obtain effects.
Further, the system for enterprise operation monitoring further comprises: and monitoring and analyzing the module.
The monitoring analysis module is used for summarizing monthly core index data and annual core index data, sending the summarized monthly core index data and annual core index data to operation monitoring personnel according to a set ID address of the operation monitoring personnel, acquiring an analysis report of the operation monitoring personnel on the monthly core index data and the annual core index data, and sending the analysis report to a decision leader according to a set ID address of the decision leader after the analysis report is acquired.
For the overall situation of the content monitored in each month, the personnel in operation monitoring can make detailed reports and special thematic analysis, and the detailed reports and the special thematic analysis are sent to the decision leader of the company through the system, so that the company leader can comprehensively control the operation situation of the company.
Further, the system for enterprise operation monitoring further comprises: a daily attention module.
The daily attention module is used for acquiring service data needing daily monitoring in a plurality of service systems from the unified platform in real time according to a set monitoring period, counting and displaying the service data according to days, and sending the service data to the decision leader according to a set decision leader ID address, wherein the service data comprises: the system comprises power grid load data, power grid operation data, distribution transformer overload condition data, distribution network line tripping and power recovery condition data. The service data can also comprise client complaint condition data (12398 complaint condition, 95598 complaint condition), business expansion condition data and high-pressure business expansion timeout condition data.
Further, the system for enterprise operation monitoring further comprises: and a data classification module.
The data classification module is used for classifying the service data into key service data, competitive service data and core index data according to the set service data classification standard, and classifying the key service data, the competitive service data and the core index data for real-time monitoring and statistics.
Preferably, the system for enterprise operations monitoring further comprises: and a key task module. And the key task module acquires data of the business content of the enterprise which is mainly followed at the current stage. The content mainly comprises: urban rural transformation, four full-coverage, distribution network uninterrupted operation and the like.
The system for enterprise operation monitoring may further include a PC (personal computer) end workstation, and the PC end workstation may be provided with a daily attention module, a mission-focused module, a functional module for monitoring competitive services, and a functional module for monitoring key processes.
The enterprise operation monitoring system can also comprise an index management module, wherein the index management module is used for defining indexes, planning an index system, appointing an annual plan of index monitoring, filling index data, maintaining index relations and the like.
The enterprise operation monitoring system can also comprise a data management module, and the data management module is used for monitoring abnormal index data and processing the abnormal changed index data.
The enterprise operation monitoring system can also comprise a mobile terminal and a display screen for monitoring. The mobile terminal comprises a daily attention module, a key task module, a functional module for monitoring competitive services, a functional module for monitoring core index data and an early warning supervision functional module. The display screen can be used for panoramic display.
The invention belongs to data extraction, data analysis and data visualization display application, and aims to perform direct data acquisition and extraction on other business systems in an enterprise, perform data integration, perform visualization display on a plurality of sets of terminals and highlight system dynamic effect on interaction. The invention provides powerful data support and comfortable visual effect for real-time, accurate and efficient monitoring of enterprise operation.
In order to better meet the requirement of an operation monitoring center on monitoring the operation condition of the whole enterprise, the invention extracts, counts, analyzes and excavates basic data of a plurality of existing business systems of the enterprise in real time, highlights the effect and renders the processing which is easy to understand. So as to achieve the purposes of high efficiency, accuracy and real-time operation and monitoring. The enterprise management system is beneficial to managers to know the enterprise operation condition in time, assists in realizing more scientific and timely enterprise management, and researches and realizes an improvement plan.
(1) Unified management and monitoring of indicators
Because the original monitoring scheme is that all departments of a company monitor relevant indexes in a system in charge of the department, and finally, personnel of all the departments report the data to the company leader, the defects of inconsistency among the departments in reporting, non-uniform early warning levels, untimely reporting, high communication cost among the departments and the like exist. Through the unified control and management can solve above-mentioned stubborn illness at one stroke, the effectual monitoring management of carrying out the enterprise, very big user's work efficiency that provides.
(2) Timely early warning notification
The original early warning notification adopts the quick report and is carried out in the form of a mail. There are failure causes and mail reception is uncertain. The above problems can be solved by adopting the early warning notification of the system. The early warning content can be timely transmitted, and early warning feedback can be received.
By establishing an operation monitoring system, the invention realizes unified monitoring of operation monitoring work, intelligent sampling, whole-process monitoring and multi-dimensional analysis by utilizing a scientifically specified early warning mode, intelligent data extraction, analysis, statistics and the like, provides support for lean management of enterprises and protects driving and protecting the health of the enterprises.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, numerous simple deductions or substitutions may be made without departing from the spirit of the invention, which shall be deemed to belong to the scope of the invention.
Claims (10)
1. A method of enterprise operation monitoring, comprising the steps of:
integrating a plurality of business systems of an enterprise into a unified platform, the plurality of business systems comprising: the system comprises a scheduling service system, a marketing system, a client information system, a distribution network scheduling system, an enterprise asset system, a metering system and a financial system;
setting a monitoring period, a monthly index data target value, a monthly early warning mode and a monthly early warning range, and setting an annual index data target value, an annual early warning mode and an annual early warning range;
acquiring monthly core index data and annual core index data which need to be monitored in a plurality of service systems from the unified platform according to a set monitoring period;
calculating a difference value between the monthly core index data and a monthly index data target value as a first difference value and a difference value between the annual core index data and the annual index data target value as a second difference value, comparing the first difference value with a monthly early warning range corresponding to a set monthly early warning mode, judging whether the monthly core index data corresponds to a normal index, an index needing attention or an alarm index, and comparing the second difference value with an annual early warning range corresponding to a set annual early warning mode, and judging whether the annual core index data corresponds to a normal index, an index needing attention or an alarm index; the monthly early warning mode and the annual early warning mode respectively comprise three modes of normal, attention-needed and warning, and each mode corresponds to an early warning range.
2. The method of enterprise operations monitoring of claim 1, further comprising the steps of:
when the monthly core index data are alarm indexes, informing relevant workers of the monthly core index data in real time according to set ID addresses of the relevant workers, and when the annual core index data are alarm indexes, informing the relevant workers of the annual core index data in real time according to set ID addresses of the relevant workers.
3. The method of enterprise operations monitoring of claim 1, further comprising the steps of:
the monthly core index data and the annual core index data are gathered, the gathered monthly core index data and annual core index data are sent to operation monitoring personnel according to a set ID address of the operation monitoring personnel, an analysis report of the operation monitoring personnel on the monthly core index data and the annual core index data is obtained, and after the analysis report is obtained, the analysis report is sent to a decision leader according to a set ID address of the decision leader.
4. The method of enterprise operations monitoring of claim 1, further comprising the steps of:
acquiring service data needing daily monitoring in a plurality of service systems from the unified platform in real time according to a set monitoring period, counting and displaying the service data according to days, and sending the service data to a decision leader according to a set decision leader ID address, wherein the service data comprises: the system comprises power grid load data, power grid operation data, distribution transformer overload condition data, distribution network line tripping and power restoration condition data.
5. The method of enterprise operations monitoring of claim 4, further comprising the steps of:
dividing the service data into key service data, competitive service data and core index data according to a set service data division standard, and carrying out classified real-time monitoring and statistics on the key service data, the competitive service data and the core index data.
6. A system for enterprise operations monitoring, comprising:
an integration module for integrating a plurality of business systems of an enterprise into a unified platform, the plurality of business systems comprising: the system comprises a scheduling service system, a marketing system, a client information system, a distribution network scheduling system, an enterprise asset system, a metering system and a financial system;
the setting module is used for setting a monitoring period, a monthly index data target value, a monthly early warning mode and a monthly early warning range, and setting an annual index data target value, an annual early warning mode and an annual early warning range;
the data acquisition module is used for acquiring monthly core index data and annual core index data which need to be monitored in the plurality of service systems from the unified platform according to a set monitoring period;
the data analysis module is used for calculating a difference value between the monthly core index data and a monthly index data target value as a first difference value and a difference value between the annual core index data and the annual index data target value as a second difference value, comparing the first difference value with a monthly early warning range corresponding to a set monthly early warning mode, judging whether the monthly core index data corresponds to a normal index, an index needing attention or a warning index, and comparing the second difference value with the annual early warning range corresponding to the set annual early warning mode, and judging whether the annual core index data corresponds to the normal index, the index needing attention or the warning index; the monthly early warning mode and the annual early warning mode respectively comprise three modes of normal, attention-needing and warning, and each mode corresponds to an early warning range.
7. The system for enterprise operations monitoring of claim 6, further comprising:
and the early warning notification module is used for notifying the monthly core index data to relevant workers in real time according to a set ID address of the relevant workers when the monthly core index data is a warning index, and notifying the annual core index data to the relevant workers in real time according to the set ID address of the relevant workers when the annual core index data is the warning index.
8. The system for enterprise operations monitoring of claim 6, further comprising:
and the monitoring analysis module is used for summarizing the monthly core index data and the annual core index data, sending the summarized monthly core index data and the summarized annual core index data to operation monitoring personnel according to a set ID address of the operation monitoring personnel, acquiring an analysis report of the monthly core index data and the annual core index data by the operation monitoring personnel, and sending the analysis report to a decision leader according to a set ID address of the decision leader after the analysis report is acquired.
9. The system for enterprise operations monitoring of claim 6, further comprising:
a daily attention module, configured to obtain, in real time, service data that needs to be monitored daily in a plurality of service systems from the unified platform according to a set monitoring period, count and display the service data by day, and send the service data to a decision leader according to a set decision leader ID address, where the service data includes: the system comprises power grid load data, power grid operation data, distribution transformer overload condition data, distribution network line tripping and power restoration condition data.
10. The system for enterprise operations monitoring of claim 9, further comprising:
and the data classification module is used for classifying the business data into key business data, competitive business data and core index data according to a set business data classification standard, and classifying the key business data, the competitive business data and the core index data for real-time monitoring and statistics.
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| US8204809B1 (en) * | 2008-08-27 | 2012-06-19 | Accenture Global Services Limited | Finance function high performance capability assessment |
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| CN104123590A (en) * | 2014-06-27 | 2014-10-29 | 国家电网公司 | 95598 customer service center operation monitoring system and method |
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