CN112200539A - Energy consumption analysis data acquisition management platform based on thermal power plant SIS system - Google Patents
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Abstract
The invention relates to an energy consumption analysis data acquisition management platform based on a thermal power plant SIS (information system of information technology) system, which comprises a data remote acquisition module, a data processing module and a data processing module, wherein the data remote acquisition module is used for manually triggering and regularly extracting data according to data required by a target task in a data point table provided by a user; the database adopts cloud storage and is used for data storage and data calculation; the data storage module is used for realizing the high-efficiency storage of mass acquired data; the data calculation module supports distributed calculation and batch calculation in a non-real-time and non-interactive data application scene; the analysis module interface is used for realizing butt joint with the intelligent analysis modules of a plurality of power plants; and the data security control and authority management module is used for providing security control means of access security, storage security, privacy protection and identity authentication. The invention improves the utilization rate of data and the statistical efficiency of electric energy, ensures the production safety and network safety of a power plant and simplifies the data acquisition flow.
Description
Technical Field
The invention belongs to the technical field of thermal power generation, and particularly relates to an energy consumption analysis data acquisition and management platform based on a thermal power plant SIS system.
Background
At present, most power plants are provided with a plant-level real-time Information monitoring System (SIS for short), real-time data of the power plants are effectively stored and monitored, and the statistical efficiency of electric energy is improved. There is a lack of analysis and use of the electrical energy data after it is acquired and stored. In the same system, a power plant and an upper unit open an SIS link for a technical service unit so as to develop a remote technical service project, and new requirements are provided for mining and collecting management of data in the SIS.
In the prior art, a large-scale power plant auxiliary power intelligent acquisition and energy efficiency real-time online analysis system is used for comprehensively acquiring the power consumption condition of electric quantity, and monitoring the power consumption condition and energy efficiency utilization in real time. The system is installed on a power plant production site and used for collecting power plant data. Each first data acquisition device includes: the system comprises a plurality of multifunctional electric meters, an electric energy data collector, a first switch and a first optical fiber transceiver; the multifunctional electric meters are connected with the electric energy data acquisition unit; the electric energy data collector is connected with the first switch and then connected with the first optical fiber transceiver; each data acquisition device is connected with the second switch through a second optical fiber transceiver; the second switch is connected with the acquisition server; the acquisition server is connected with a plant-level monitoring information system central switch; then connecting with a plant-level monitoring information system; the acquisition server is connected with the forward isolation device; then connecting a third optical fiber transceiver; the third optical fiber transceiver is connected with the fourth optical fiber transceiver; then connecting a third switch; the application server and the database server are respectively connected with the third switch.
In the prior art, a set of complex auxiliary power intelligent acquisition system and a plant-level real-time information monitoring system are used for data acquisition in parallel, and a multi-level data transceiver is adopted, so that the complexity and the cost of data acquisition are increased. Secondly, the installation of the whole set of acquisition system needs to be approved by all levels of units, and the acquisition data needs to be accessed by an open data interface of the power plant SIS system, so that the application difficulty is high. Thirdly, the unit providing the production technical service for the power plant cannot remotely acquire and utilize the data through the system. Finally, the more complex the power acquisition system, the lower the operational reliability, and the greater the probability of data errors, which the prior art has not developed for targeted evaluation and analysis.
Disclosure of Invention
The invention aims to provide an energy consumption analysis data acquisition management platform based on a thermal power plant SIS system, which is based on an office intranet environment, analyzes an SIS data point table by remotely accessing an IP address of the power plant SIS, simulates a manual acquisition mode, manually triggers or automatically remotely acquires, stores and classifies required data at regular time, and stores the required data of a target task in a standardized and structured information warehouse to complete the whole process management of the target task, thereby finally forming a data acquisition management system capable of realizing an interface with an intelligent analysis module of a power plant.
The invention provides an energy consumption analysis data acquisition management platform based on a thermal power plant SIS system, which comprises:
the remote data acquisition module is connected with an SIS plant-level monitoring information platform of the intranet, is compatible with SIS systems of different power plants, and is used for manually triggering and regularly extracting data according to the data required by a target task in a data point table provided by a user;
the database adopts cloud storage and is used for data storage and data calculation; the data storage realizes the high-efficiency storage of mass acquisition data, the storage of unstructured data, a data buffer area, data export and visual management; the data calculation can support distributed calculation and batch data processing, realize reasonable calculation and allocation of task definition, submission, scheduling, monitoring and the like, and simultaneously have the functions of flow calculation and memory calculation;
the data storage module is used for realizing the high-efficiency storage of mass acquired data, carrying out structured arrangement and high-efficiency storage on data facing an enterprise, efficiently storing structured data facing an application through a data buffer area, and carrying out visual management on the data;
the data calculation module supports distributed calculation and batch calculation in a non-real-time and non-interactive data application scene; the method supports the real-time calculation of the memory, is suitable for the real-time calculation of dynamically generated data and feeds back results in time; the memory calculation of the structured data is supported, and the method is suitable for a high-response calculation scene;
the analysis module interface is used for realizing butt joint with the intelligent analysis modules of a plurality of power plants;
and the data security control and authority management module is used for providing security control means of access security, storage security, privacy protection and identity authentication and providing the functions of configuring organizations, users, roles and authorities in the system for the users.
Furthermore, the remote data acquisition module accesses the IP of each power plant through an intranet and realizes automatic data acquisition in a mode of manually acquiring data through program simulation; manually collecting data, filling data contents required to be imported into a template through an export system template, and then importing the data contents into a platform database.
Furthermore, the database forms a tree-shaped visual database by configuring factory names, units and roll names, and the visual data structure can be deleted, reduced and edited according to the requirements of users.
Further, the implementation of the efficient storage of the mass acquired data adopts a cloud mode, and the local configuration of the Windows Server includes: columnar storage; memory storage: the data is supported to be loaded into the memory, and the data reading operation can be directly carried out; fast reading on line; monitoring and managing: managing and monitoring node states; storage of unstructured data;
the structured arrangement and efficient storage of the enterprise-oriented data comprises the following steps: object management: the method comprises the steps of providing creation and deletion operations of common data objects, and supporting creation and deletion operations of database users and distribution and recovery of user rights; store procedures and custom functions: supporting a programming language based on a stored procedure and a custom function; data export: according to the query conditions, the query conditions can be displayed and output as required;
the data buffer efficiently stores the structured data of the oriented application, and comprises the following steps: storing according to data warehousing and data analysis service requirements; completing connection with a database through an application program; and the data life cycle management is supported, and the overdue data is periodically warehoused or cleared.
Further, the data calculation module is specifically configured to:
task definition, which is to meet the definition of each type of statistical analysis task performed by a target task according to business requirements;
task submission, namely, the defined tasks are submitted to a big data storage computing assembly computing cluster in a supporting mode, and quick installation and deployment of the tasks in the cluster are achieved;
task scheduling, which supports the execution time, interval and times of the configured tasks and reasonably allocates the tasks according to the use condition of platform computing resources;
and task monitoring, which supports the monitoring of the whole period of the task.
By means of the scheme, the energy consumption analysis data acquisition management platform based on the thermal power plant SIS system has the following technical effects:
(1) the invention effectively excavates, stores and monitors the real-time data in the plant-level real-time information monitoring system (SIS) of each power plant, can obtain more complete plant power utilization information from the existing SIS of the power plant, and improves the utilization rate of the data, the statistical efficiency of the electric energy and the like.
(2) The invention adopts a remote acquisition mode based on the office intranet environment, and the acquisition object is compatible with different SIS systems of a plurality of power plants, thereby not only ensuring the production safety and the network safety of the power plants, but also simplifying the data acquisition process and improving the efficiency of quality improvement for predicting, analyzing, diagnosing and guiding the operation of the unit.
(3) The data platform provides a plurality of application interfaces, provides a platform for analysis and application, further improves the utilization rate of data, and provides a convenient platform for long-term intelligent development of a power plant and energy-saving operation optimization of big data.
The foregoing is a summary of the present invention, and in order to provide a clear understanding of the technical means of the present invention and to be implemented in accordance with the present specification, the following is a detailed description of the preferred embodiments of the present invention.
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Fig. 1 is a schematic diagram of an application example of an energy consumption analysis data acquisition management platform based on a thermal power plant SIS system.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Referring to fig. 1, the embodiment provides an energy consumption analysis data acquisition management platform based on a thermal power plant SIS system, and data required in the SIS is manually triggered or automatically acquired, stored and classified in a remote manner at regular time. And carrying out standardized and structured information warehousing on the required data according to the target task, completing the overall process management of the target task, and finally butting the target task with an intelligent analysis module of the power plant.
The method mainly comprises remote data acquisition, database service and application service. The platform operating environment is an office intranet, and the purpose of remotely acquiring and managing the data in the SIS is achieved on the premise of ensuring the safety requirement of the data. The specific function is divided into the following parts in the dashed box in the figure.
The structure and function of the platform are described in detail as follows:
(1) data remote acquisition module
The data remote acquisition module is connected with an SIS plant-level monitoring information platform of the intranet and needs to be compatible with SIS systems of different power plants. And manually triggering and timing extracting the data according to the data required by the target task in the data point table provided by the user. Reserving a certain number of acquisition points for platform function expansion. Automatic data acquisition accesses the IP of each power plant through an intranet, and realizes the automatic data acquisition by simulating a mode of manually acquiring data through a program. Manually collecting data, exporting a system template, filling data content needing to be imported into the template, and importing the data content into a platform database.
The specific functions of the acquisition include: (1) structured data access, which is to automatically and correspondingly acquire required data according to data point tables of different power plants and support manual triggering and timing extraction; (2) the acquisition measurement data access has the capability of acquiring at least 3000 measuring points and supports the expansion of the acquisition measuring points in the later period; (3) collecting unstructured data; (4) data is extracted by time as an index.
(2) Database with a plurality of databases
The database adopts cloud storage and mainly comprises data storage and data calculation functions. The data storage can realize the high-efficiency storage of mass acquisition data, the storage of unstructured data, a data buffer area, data export and visual management. The data calculation can support basic functions of distributed calculation, batch data processing and the like, and reasonable calculation and allocation of task definition, submission, scheduling, monitoring and the like are realized; meanwhile, the method also has the functions of stream calculation, memory calculation and the like.
And finally forming a tree-shaped visual database by configuring factory names, machine sets and roll names. The visual data structure can be deleted and edited according to the requirements of users.
(3) Data storage module
a. The method realizes the high-efficiency storage of mass acquired data, and adopts a cloud mode to locally configure a Windows Server Server. The specific functions should include: columnar storage; memory storage: the data is supported to be loaded into the memory, and the data reading operation can be directly carried out; fast reading on line; monitoring and managing: managing and monitoring node states; storage of unstructured data.
b. And carrying out structured arrangement on the data facing the enterprise and storing the data efficiently. The method specifically comprises the following steps: object management: the method comprises the steps of providing creation and deletion operations of common data objects, and supporting creation and deletion operations of database users and distribution and recovery of user rights; store procedures and custom functions: supporting a programming language based on a stored procedure and a custom function; data export: can be displayed and output according to the requirement according to the query condition.
c. A data buffer to efficiently store application-oriented structured data: according to business requirements such as data warehousing and data analysis; the application program needs to complete connection with the database; and the data life cycle management is supported, and the overdue data is periodically warehoused or cleared.
d. Visual management of data and various interface tools need to provide humanized design, so that convenience is brought to user management.
(4) Data calculation module
And basic functions such as distributed computation and batch computation and the like in a non-real-time and non-interactive data application scene are supported. The method supports real-time calculation of the memory, and is suitable for real-time calculation of dynamically generated data and timely feedback of results. The method supports the memory calculation of the structured data and is suitable for a high-response calculation scene. The specific functions include:
task definition, which is to meet the definition of each type of statistical analysis task performed by a target task according to business requirements; task submission, namely, the defined tasks are submitted to a big data storage computing assembly computing cluster in a supporting mode, and quick installation and deployment of the tasks in the cluster are achieved; task scheduling, which supports the execution time, interval and times of the configured tasks and reasonably allocates the tasks according to the use condition of platform computing resources; and task monitoring, which supports the monitoring of the whole period of the task.
(5) Analysis module interface
The intelligent analysis module can be in butt joint with the intelligent analysis modules of a plurality of power plants. The intelligent analysis module of the power plant can be docked through the data platform, so that data can be utilized (including calling, analysis, calculation result management and the like), and the analysis function is completed.
(6) Data security control and rights management module
The data acquisition network environment is an intranet, and the data storage adopts a cloud end, so that the safety of a data platform needs to be ensured. And safety control means such as access safety, storage safety, privacy protection, identity authentication and the like are provided, and functions of configuration of organizations, users, roles, authorities and the like in the system are provided for the users.
This energy consumption analysis data acquisition management platform based on thermal power plant SIS system has following technological effect:
(1) the invention effectively excavates, stores and monitors the real-time data in the plant-level real-time information monitoring system (SIS) of each power plant, can obtain more complete plant power utilization information from the existing SIS of the power plant, and improves the utilization rate of the data, the statistical efficiency of the electric energy and the like.
(2) The invention adopts a remote acquisition mode based on the office intranet environment, and the acquisition object is compatible with different SIS systems of a plurality of power plants, thereby not only ensuring the production safety and the network safety of the power plants, but also simplifying the data acquisition process and improving the efficiency of quality improvement for predicting, analyzing, diagnosing and guiding the operation of the unit.
(3) The data platform provides a plurality of application interfaces, provides a platform for analysis and application, further improves the utilization rate of data, and provides a convenient platform for long-term intelligent development of a power plant and energy-saving operation optimization of big data.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, it should be noted that, for those skilled in the art, many modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (5)
1. The utility model provides an energy consumption analysis data acquisition management platform based on thermal power plant SIS system which characterized in that includes:
the remote data acquisition module is connected with an SIS plant-level monitoring information platform of the intranet, is compatible with SIS systems of different power plants, and is used for manually triggering and regularly extracting data according to the data required by a target task in a data point table provided by a user;
the database adopts cloud storage and is used for data storage and data calculation; the data storage realizes the high-efficiency storage of mass acquisition data, the storage of unstructured data, a data buffer area, data export and visual management; the data calculation can support distributed calculation and batch data processing, realize reasonable calculation and allocation of task definition, submission, scheduling, monitoring and the like, and simultaneously have the functions of flow calculation and memory calculation;
the data storage module is used for realizing the efficient storage of mass acquired data, performing structured arrangement and efficient storage on enterprise-oriented data, performing efficient storage on application-oriented structured data through a data buffer area, and performing visual management on the data;
the data calculation module supports distributed calculation and batch calculation in a non-real-time and non-interactive data application scene; the method supports the real-time calculation of the memory, is suitable for the real-time calculation of dynamically generated data and feeds back results in time; the memory calculation of the structured data is supported, and the method is suitable for a high-response calculation scene;
the analysis module interface is used for realizing butt joint with the intelligent analysis modules of a plurality of power plants;
and the data security control and authority management module is used for providing security control means of access security, storage security, privacy protection and identity authentication and providing the functions of configuring organizations, users, roles and authorities in the system for the users.
2. The thermal power plant SIS system-based energy consumption analysis data acquisition management platform as claimed in claim 1, wherein the remote data acquisition module accesses IP of each power plant through an intranet, and realizes automatic data acquisition by simulating a manual data acquisition mode through a program; manually collecting data, filling data contents required to be imported into a template through an export system template, and then importing the data contents into a platform database.
3. The thermal power plant SIS system-based energy consumption analysis data acquisition and management platform as claimed in claim 1, wherein the database is configured with a plant name, a unit and a roll name to form a tree-shaped visual database, and the visual data structure can be deleted and edited according to user requirements.
4. The thermal power plant SIS system-based energy consumption analysis data acquisition and management platform as claimed in claim 1, wherein the implementation of efficient storage of massive data acquisition employs a cloud-side approach to locally configure a Windows Server Server, and the method includes: columnar storage; memory storage: the data is supported to be loaded into the memory, and the data reading operation can be directly carried out; fast reading on line; monitoring and managing: managing and monitoring node states; storage of unstructured data;
the structured arrangement and efficient storage of the enterprise-oriented data comprises the following steps: object management: the method comprises the steps of providing creation and deletion operations of common data objects, and supporting creation and deletion operations of database users and distribution and recovery of user rights; store procedures and custom functions: supporting a programming language based on a stored procedure and a custom function; data export: according to the query conditions, the query conditions can be displayed and output as required;
the data buffer efficiently stores the structured data of the oriented application, and comprises the following steps: storing according to data warehousing and data analysis service requirements; completing connection with a database through an application program; and the data life cycle management is supported, and the overdue data is periodically warehoused or cleared.
5. The thermal power plant SIS system-based energy consumption analysis data acquisition and management platform as claimed in claim 1, wherein the data calculation module is specifically configured to:
task definition, which is to meet the definition of each type of statistical analysis task performed by a target task according to business requirements;
task submission, namely, the defined tasks are submitted to a big data storage computing assembly computing cluster in a supporting mode, and quick installation and deployment of the tasks in the cluster are achieved;
task scheduling, which supports the execution time, interval and times of the configured tasks and reasonably allocates the tasks according to the use condition of platform computing resources;
and task monitoring, which supports the monitoring of the whole period of the task.
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