CN111915135A

CN111915135A - Production operation supervisory systems

Info

Publication number: CN111915135A
Application number: CN202010623945.4A
Authority: CN
Inventors: 王剑峰; 李涛; 李静; 严福华; 元亮; 金鑫; 边伟强; 刘熠
Original assignee: Hebei Jointto Energy Investment Co ltd
Current assignee: Hebei Jointto Energy Investment Co ltd
Priority date: 2020-07-01
Filing date: 2020-07-01
Publication date: 2020-11-10

Abstract

The invention relates to the technical field of enterprise information management, in particular to a production operation supervision system. The production operation supervision system is used for being accessed and used by a plurality of users; the production operation supervision system collects and stores production operation information data of a plurality of users, carries out statistics, calculation and analysis according to requirements, and provides different users for use according to preset authority; the system comprises: the system comprises a data center unit, a production index management unit, an energy-saving emission-reducing management unit, a mobile production portal unit, a data acquisition, exchange and backup unit and the like, and an interface platform, wherein the interface platform is used for providing a standard interface to connect each application software platform of each user with the data center unit. The method and the system solve the problem of data interaction and sharing between production control data and management information systems between the subordinate power generation companies and the company headquarters of the company.

Description

Production operation supervisory systems

Technical Field

The invention relates to the technical field of enterprise information management, in particular to a production operation supervision system.

Background

The main investment, construction and operation management of our company are energy projects which mainly adopt electricity production. By the end of the present year, our company has 18 companies participating in the control of power generation. The operating and stock control installed capacity is 568 ten thousand kilowatts, the rights and interests installed capacity is 666 ten thousand kilowatts, 18 operating units are provided, and the operating and stock control capacity of the company is positioned at the 1 st position in the installed capacity of the central dispatching system of the network in south of Hebei and south of Hebei at present.

In the early period, the headquarters of our company does not establish own information infrastructure and application software platform, and mainly uses the application software platforms of the group company such as network and video conference, OA cooperative office, financial management, engineering management, production real-time data monitoring, benchmarking management, information integration platform and the like. All operation power generation enterprises (Xibaipo, the Thai Shahe, the Yunju, the Xuanhua and the Hengxing) belonging to the company establish own informatization infrastructure platform and application software platform. In infrastructure construction: the central machine room and the plant-level local area network are established in each plant, the interconnection and intercommunication and the data sharing of plant-level data are realized, a network special line is established for an external uniform and collective company, and the transmission of the data to the collective company is realized. In the aspect of application software platform construction: plant-level application software platforms such as collaborative office, production management, personnel management, financial management, comprehensive statistics, fuel management, material management and production real-time data are all put into use by each power plant, most production indexes can be monitored and counted on line in real time, the method becomes an important means for production technicians to analyze the operation condition of a unit, and a data source is provided for the statistics of each production index. In terms of informatization investment: the power generation starts earlier in western, national tai (shahe) and hengxing, and the investment is over ten million. The information investment of two newly built power plants of the Fuqiu thermoelectricity and the Xuanhua thermoelectricity is over five million.

From the practical application effect of each system, the functions of the video conference system, the financial management system, the engineering management information system and other systems can basically meet the business requirements of our company; the functions of the mark management system, the information integration platform and the OA cooperative office system and the data information focus on group services, and only partial service requirements of our company can be met; the production real-time data monitoring system is inaccurate in data at present, configuration pictures are inconsistent with power plant ends, thermodynamic data of a sand river, a conception dune power plant and a fixed state are not accessed, data of Chengde thermoelectricity, chenchentai thermoelectricity and the like are accessed in the future, and the system cannot meet the production management requirements of our company.

In order to further improve the specialized management level of a company, improve the scientificity of enterprise operation decision, strengthen benchmarking management and reduce enterprise cost, the system is basically built through construction for two to three years by fully utilizing modern information technology on the basis of company development strategy, and meets the requirements of cooperative operation, high-efficiency management and scientific decision of the company and the stock-controlling enterprise. The method provides an effective means for realizing information resource sharing and improving the information utilization capacity, promotes the improvement and optimization of production, operation, management and decision modes of companies and stock control enterprises, and improves the overall innovation capacity, economic benefit and market competitiveness of the companies.

The production operation supervision system mainly collects real-time data of an operation unit and a heat supply enterprise SIS system data of the company, processes, refines and analyzes the collected data, and builds three systems including a production real-time database, production index management and energy conservation and emission reduction management by taking the data source as a foundation, so that high-efficiency and rapid whole company production information is provided for the company, the system is used for guiding and scheduling production, reducing cost and improving efficiency, strongly supports enterprise decision and production command, and brings better benefit for the enterprise.

The software and hardware environment of my company: the current network environment adopts the network of a group company, the company is interconnected with the local area network of the group company through a building network switch, and a machine room of the group company is connected with each stock control enterprise of the company by adopting a telecommunication data link.

The collaborative office and financial system adopts Jinsphe EAS7.5 of the Hebei construction and investment group; the human resource system adopts the structure of the New vegetable 9.1 of Hebei institute of China; and uniformly considering the third party authentication mode for the one-key login portal and considering the subsequent unification with the group human resource management system authentication mechanism.

The software and hardware environment of the subordinate stock control enterprise: some companies use openprint database of shanghai maid; some companies adopt a real-time database of the Shanghai Xinhua power station; some companies adopt a real-time database of PI; some companies use the EDNA real-time database printed in beijing, and some use the Sqlserver relational database in hebei retta. Each power generation company is connected with a corporate information network through a telecommunication 2M SDH data link.

Disclosure of Invention

The invention aims to provide a production operation supervision system.

In order to achieve the purpose, the invention provides the following technical scheme:

a production operation supervision system is used for being accessed and used by a plurality of users; the production operation supervision system collects and stores production operation information data of a plurality of users, carries out statistics, calculation and analysis according to requirements, and provides different users for use according to preset authority; the system comprises:

the data center unit is used for acquiring, storing, counting, calculating and analyzing real-time data of each user;

the interface platform is used for providing a standard interface to enable each application software platform of each user to be connected with the data center unit; the application software platform of each user is communicated with a production operation information data sub-server of the user, and the server is connected with the data center unit through a data special line; the user authority is set, and each user is given with the authority to use after logging in;

the terminal user calls the data stored or counted, calculated and analyzed by the data center unit within the preset terminal authority range so as to:

monitoring production unit information of each user; and/or understanding energy-saving emission-reduction management information; and/or knowing production operation information of each user; and/or understanding production operation performance indicators; and/or analyzing the similar indexes in a comparative way; and/or making and issuing instructions.

Furthermore, the production operation supervision system sets an access mode of the mobile terminal equipment, and a user logs in to use the system through the mobile equipment.

Further, the data center unit, among them, includes

The real-time database part comprises a real-time database and a relational database, collects production real-time data, and collects and stores production operation information data and operation pictures of each user to a server of the data center;

the production operation overview part comprises a real-time performance calculation part, a production real-time information monitoring part, a file delivery management part and a statistical analysis part; and carrying out statistics, calculation, analysis and processing on the acquired data, and displaying the data on a terminal user.

Further, the processed data of the production operation overview part comprises basic equipment data, unit output conditions, non-stop prompts, statistical analysis and unit online performance diagnosis; wherein:

the unit output condition comprises an output curve and a unit running state;

the non-stop prompt comprises unit alarm and unit state change information; the information of the unit which is abnormally stopped and abnormally operated can be sent to a terminal user with the permission;

the statistical analysis comprises the steps of carrying out index real-time analysis on the acquired data, generating a statistical report and setting a printing function;

the method comprises the steps of online performance diagnosis of a unit, calculation, statistics and analysis of performance indexes of a secondary user level by utilizing collected real-time data and combining a thermodynamic method, wherein the economic index analysis of the secondary user level provides a basis and is displayed in a list, a trend graph and a bar graph mode.

Furthermore, the production operation supervision system also comprises a production index management unit, wherein the production index management unit comprises a production index statistics part, an index comparison and analysis part, an index library and an benchmarking task management part;

the production index counting part extracts specified data from a specified data source to another specified data source through the data of each user collected in the data center unit to generate a specified report and can output the report in a specified format;

the index comparison and analysis part is used for configuring the indexes of the units of the same type to perform real-time comparison and analysis, and configuring the energy-saving indexes to perform comparison and analysis with a planned value and a historical value; the analysis result can be displayed in various forms, and a trend graph is formed;

the index library is used for managing standard indexes and user-defined indexes and acquiring external index data through the data interface platform; setting authority management on the index library;

managing the benchmarking tasks, issuing benchmarking management information and files, and managing, recording, looking up and circulating benchmarking files; and issuing an adjusting and modifying task to the user who does not reach the set index.

Further, the production index statistical part acquires user SIS system indexes, electric energy metering system indexes and information integrated platform input data center units, and

counting the production indexes of each user on the previous day, predicting the real-time production indexes and index trends on the same day, and

calculating, counting and analyzing the plant-level performance indexes of each user, and providing a basis for the economic index analysis of the users;

the production index counting part counts production indexes of all users in the previous day, wherein the production indexes comprise generated energy, unit utilization hours, unit plant power consumption rate, comprehensive power plant power consumption rate, power supply coal consumption and power generation coal consumption.

Further, the production operation supervision system also comprises an energy-saving emission-reducing management unit which comprises an environmental protection equipment standing book management part, an environmental protection equipment real-time monitoring part, an energy-saving emission-reducing file management part and a data query part,

the method comprises the following steps of environmental protection equipment ledger management, wherein each user inputs an environmental protection equipment ledger, an energy-saving emission-reducing plan, planning and making, and a plant-level energy-saving environment-friendly statement making;

the environmental protection equipment is monitored in real time, the running data of the environmental protection equipment is extracted from a real-time database, the running condition of the environmental protection equipment is displayed in real time, each index data is displayed, the reason for the running-out environmental protection equipment is remarked, and the outage time can be counted;

the energy-saving emission-reducing file management is used for filling an energy-saving emission-reducing report, a pollution discharge right report and a carbon emission management report in a standard mode, reporting information through a workflow system, entering a user database after being checked and verified, and automatically generating a summary report;

and data query, namely providing query for reports of all users, summary reports and energy-saving emission-reduction data.

Furthermore, the production operation supervision system also comprises a data acquisition exchange and backup unit, which is used for exchanging data by establishing a uniform data acquisition exchange channel, monitoring the data acquisition exchange task transmitted by the data acquisition exchange and backup unit, extracting specified data from a specified data source to another specified data source, and performing the formed calling process of the storage logic index and the view; storing; reminding the task of error; and can independently store data and restore data in units.

Further, a model is established for metadata in the collection and exchange process, a data warehouse is established, and a user accesses information stored in the data warehouse through a user demand tool; dividing the whole data stored in the data warehouse into a plurality of units, constructing a matrix-shaped data warehouse platform, and searching, connecting and combining matrix objects through an analysis tool;

the data acquisition, exchange and backup unit further comprises an auxiliary decision database, and historical retrospection and comparison knowledge base auxiliary analysis and decision of auxiliary decision are provided through historical same-ratio data and/or historical ring-ratio data and/or DuPont model analysis.

Furthermore, the production operation supervision system also comprises a mobile production portal unit which processes production management business, displays real-time data, generates, checks and sends data report and pushes messages through the mobile terminal according to corresponding authority setting.

The beneficial effect of this application: the problem of the data sharing between the affiliated power generation companies of my company and the company's local department is solved to this application, realizes that the power plant side data is automatic to be collected to the corresponding module of data center, reduces artifical volume of typeeing, improves management and control data and obtains efficiency and data authenticity. The problems of data interaction and sharing between the production control data and the management information system are solved; the problem of each power generation company independently build the same kind of system, the repeated investment is solved. Unified identity authentication and identification are carried out through one-key login; the problem that different service data sources need to be switched to different application software platforms when being checked is solved, namely, data concerned and concerned by different users can be customized by the self-service platform.

Drawings

Fig. 1 is a schematic diagram of a network structure according to the present application.

Fig. 2 is a schematic diagram of a network topology according to the present application.

Fig. 3 is a functional content diagram of the application software platform according to the present application.

FIG. 4 is an example of a plant-side real-time database application of the present application.

FIG. 5 is an example of an index reference frame of the present application.

FIG. 6 is a schematic view of the cost accounting of the present application.

Fig. 7 is a framework diagram of an energy saving and emission reduction management unit according to the present application.

Fig. 8 is an example of an acquisition network application of the present application.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

The system is constructed for improving the professional management level of the company, improving the scientificity of enterprise operation decision, strengthening benchmarking management and reducing enterprise cost. The company is used as a main company and is a primary user, each subsidiary company or secondary unit is called a secondary user, the group company and other users capable of logging in and using the system are called external users, and each online user, PC end user and mobile end user logging in and using the system are called end users; wherein the mobile end user is also described as a mobile end user in the mobile production portal related description.

Object of the present application

Starting from the management requirements of the companies, an informatization management and control system meeting the management requirements of the companies is built by combining the management and control requirements of the group companies. The specific construction targets are as follows:

a production operation supervision system with a high starting point is built, and modern technical means support is provided for investment, operation and management and specialized operation of companies.

The unity and consistency of the information system between the headquarters of the company and the stock control enterprises are improved, the information island is eliminated, and the sharing of the internal information resources of the company system is realized;

a data center for unified management is built, real-time data of each stock control company are stored, calculated and counted in a centralized mode, and the integrity, accuracy and safety of the data are guaranteed;

a unified standard application software platform is built, unified identity authentication, a report platform, a real-time database platform and a workflow platform are realized, and user rights are managed in a unified manner;

and a unified interface platform is built, and a standard interface is provided for other systems to call in a WebService mode.

By producing real-time data, the management layer and technical experts can monitor the parameters of main equipment of all the operating units and key performance indexes related to state maintenance on line; the expert can also make corresponding preventive maintenance measures for the corresponding equipment according to the actual monitoring condition so as to avoid potential damage and unplanned shutdown, thereby improving the safe and economic operation level of the unit.

Through the production index management system and the energy-saving and emission-reducing system, the management layer can objectively and accurately master the running conditions of the units and equipment of each stock control enterprise and the completion conditions of production indexes, and through transverse and longitudinal comparison and analysis of similar indexes, the information of power generation, heat supply, production and the like of each stock control enterprise is mastered, so that a basis is provided for efficient and high-quality management decision.

The project is constructed and matched to form a mobile production portal APP application, and the timely sharing and real mobile office of production data, energy conservation and emission reduction, task to-do and other data are realized.

The network architecture of the group company is currently applied by our company and is connected with each power generation enterprise through a 2M data private network (SDH link) of the group company. At present, the application of a video conference system, a financial information system, a cooperative office system, a production real-time data system, a group information integrated platform, an engineering management information system and the like is operated on the private network, and the bandwidth is obviously insufficient. The group company builds a group level data center, the network and the infrastructure of the data center can be provided for the straight pipe company to use, the straight pipe company only needs to purchase and manage an application server of the straight pipe company, and other equipment operation and maintenance are entrusted to the data center to complete the operation and maintenance.

The method comprises the steps that the servers are placed in a rented network operator cabinet by the company, all stock control companies are converged to the company data center through a data special line (SDH link or MPLS VPN), and the company data center and the company home are connected through the data special line (SDH link or MPLS VPN).

Server deployment scheme

The company adopts the database and the application to be separated and is uniformly deployed in a company data center. The specific network topology is illustrated in fig. 2.

Application software platform function design scheme

The system (including the mobile terminal) of our company mainly comprises unit modules such as a production operation data management unit, a production benchmarking management unit, an energy-saving emission-reduction management unit, an overhaul technical improvement management unit, a safety production management unit, a party information management unit, a cooperative office unit and the like. Wherein, part of the maintenance technical improvement management units, the safety production management unit, the party information management unit, the cooperative office unit and other unit modules are built step by step.

The production operation supervision system of the company aims to provide comprehensive production data management service for the company, and comprises a real-time database and a relational database, a real-time performance calculation and production real-time information monitoring part, a file submission management part, a statistical analysis part and the like. The system takes a real-time database and a relational database as cores, takes a data integration platform as a basis, upwards supports group data application, transversely integrates production index management and energy-saving and environment-friendly management, downwards integrates the real-time database, realizes integration and support of the real-time database, the relational database and a peripheral information system, and comprehensively monitors production information from the aspects of data monitoring, statistical reports, alarm management and the like.

The scheme disclosed by the application at least comprises a production operation supervision system, wherein the production operation supervision system is used for being accessed and used by a plurality of users; the production operation supervision system collects and stores production operation information data of a plurality of users, carries out statistics, calculation and analysis according to requirements, and provides different users for use according to preset authority; the system comprises:

Further, the data center unit, among them, includes

the unit output condition comprises an output curve and a unit running state;

Specifically, the production operation supervision system which is operated online at present comprises a data center unit, a production index management unit, an energy-saving emission-reduction management unit, a mobile production portal unit and a data acquisition, exchange and backup unit.

Data center unit

The main functions are as follows:

(1) and (5) acquiring production real-time data. And collecting and storing key data and operation pictures of SIS systems of all stock control power plants and heat supply enterprises to a company server.

(2) Production and operation overview. The operation condition of the whole system enterprise unit is displayed at the client after the collected key data are processed, and the operation condition of the whole system enterprise can be displayed in a large screen mode and displayed in a virtual power plant diagram mode. And unifying the picture style according to the centralized monitoring requirement, customizing key system pictures of each power plant, and displaying the main real-time production conditions of all the power plants in a centralized manner.

The function displays the basic data and the unit output conditions of the main equipment of each related power generation enterprise in a centralized manner, wherein the basic data and the unit output conditions comprise output curves, unit state statistics and unit output conditions of each unit.

Force curve: the method can display three types of load trends of companies, power plants and units, and inquire the output conditions of the power plants and the units according to the region drop-down frames.

List of force conditions: and displaying the information of the running state, the output state, the rated load, the actual load, the output coefficient and the like of each power plant unit.

The current unit running state: and displaying the total output, the stop/standby state, the overhaul state and the like of all the units of the company or the power plant.

(3) And a non-stop prompt function.

The alarm and start-stop details are divided into unit alarm and unit state change information display, and non-stop time and non-stop times can be counted.

The unit gives an alarm: and displaying information such as the name of the alarm index of each power plant unit, the alarm value, the alarm time and the like.

The state of the unit changes: and displaying the capacity, state change, alarm time and other information of the units of each power plant.

And (3) short message reminding: and sending short message reminding to the units which are not stopped and abnormally operated.

(4) And (5) a statistical analysis function. And carrying out index real-time analysis on the extracted data, comparing and displaying key data such as plant power consumption rate, boiler efficiency, steam turbine efficiency, coal consumption index, energy-saving index, environmental protection index and the like of each plant, and generating various statistical reports.

(5) And diagnosing the online performance of the unit. The real-time performance of the operation of the on-line monitoring unit can be realized and the tracing can be realized. And the power plant side establishes a real-time database system according to the actual situation of the unit and transmits data to the company. For the power plant with the existing real-time database, the data transmission interface is mainly matched to work, and the secondary application development of the real-time database is well carried out. The collected real-time data is utilized, and a thermodynamic method is combined to calculate, count and analyze plant-level performance indexes of all the related power generation enterprises, so that a basis is provided for economic index analysis of the related power generation enterprises, and the economic index analysis is displayed in various forms such as lists, trend graphs and bar graphs. The method has the advantages that the calculation processes of all indexes are visualized by depending on a thermodynamic calculation model and a working condition library, the intelligent self-diagnosis function is realized, the current operation working condition is automatically identified, unreasonable disturbance input parameters are traced and positioned, a user is reminded and assisted to correct wrong measurement parameters, and the accuracy of performance calculation is guaranteed.

An example of a plant-side real-time database application is shown in FIG. 4.

The system processes and counts various real-time and non-real-time data according to the management characteristics of a company, flexibly and conveniently generates various reports according to the needs and provides the reports to managers at all levels. The analysis adopts graphic and table data, the user can define the format of the report form by self, and the output mode of the report form can be defined as follows: and printing at fixed time, calling printing and the like, so that efficient and rapid management is realized.

The hierarchy of the report forms: the report forms of the company level summary class, the plant level report forms and the unit level report forms.

The contents of the report (including but not limited to): marketing data report, main parameter data report, unit operation and outage report.

Time organization of the report: daily, monthly, quarterly and annual newspapers.

And (3) report output form: excel form, displayed on WEB page.

The comprehensive inquiry and statistics are displayed in a mode of managing a cockpit in the intelligent production management system.

Accuracy of statistics: namely, the statistics of various indexes is accurate.

Statistical instantaneity: and summarizing, calculating and reporting various data in time.

Statistical complexity: the data volume is large, the data points are many, and the tasks are reasonably shared.

And providing a transverse and longitudinal comparison analysis function for the statistical indexes. The following analyses are mainly provided:

historical contemporaneous comparative analysis

Smooth trend movement analysis

Moving average analysis

Planned target comparison analysis

Competitor comparative analysis

Comparison and analysis of same-industry indexes

Report data drilling tracing

The statistical system provides a standard data interface to avoid repeated manual entry of data. In the process of collecting statistical data, an early warning or prompting function is required for abnormal index values, so that a maker of a statistical statement is ensured to have enough attention, and major errors are avoided.

Production index management unit

The main functions of the company side are as follows:

(1) and (5) counting production indexes. The functions include: the system can collect key indexes of the SIS system of each power plant, indexes of the electric energy metering system and input data of the information integration platform. The method can statistically display various main production indexes (such as generating capacity, unit utilization hours, unit plant power consumption rate, comprehensive power plant power consumption rate, power supply coal consumption, power generation coal consumption and the like) of yesterday, real-time production indexes and index trend prediction at present and the like. The method is characterized in that plant-level performance indexes of all the related power generation enterprises are calculated, counted and analyzed, a basis is provided for economic index analysis of the related power generation enterprises, and the economic index analysis is displayed in various forms such as lists, trend graphs and bar graphs. The system can automatically generate production daily reports and monthly reports by collecting data through the data exchange platform, automatically count non-production electricity, generate electricity (including the electricity consumption condition of each auxiliary machine) and generate files in a format of comprehensive plant power rate daily reports and monthly reports, and can directly export EXCEL reports.

In order to meet the needs of the company and the management of the company, the group and the company can master the production and operation conditions of each unit in time at two levels, and each subordinate unit of the company needs to report the production daily report, the operation daily report, the energy-saving daily report, the environment-friendly daily report and other reports to the energy company according to a fixed period and a fixed format.

A company production data statistical platform is established in a production operation supervision system contained in the project, the summary and statistics of production daily reports, energy-saving daily reports, environment-friendly daily reports and other data are realized, and the functions of automatically extracting data to generate daily reports and monthly reports of the company, editing a daily work report form template and modifying an output form format, automatically checking the data and reminding the data of exceeding the limit, inquiring the history of the report and statistically analyzing the index trend, automatically counting and checking the problems of data exceeding the limit, plan exceeding the limit, report exceeding the limit and the like are realized according to the daily report information of each unit.

(2) And (5) index comparison analysis. And the configuration indexes carry out real-time transverse and longitudinal comparison analysis on the indexes of the units of the same type. The running conditions and the production index completion conditions of the units and equipment of each subordinate enterprise can be known objectively and accurately in real time. And comparing the energy-saving indexes (power supply coal consumption, comprehensive plant power consumption and comprehensive power generation water consumption) with the plan values, and displaying the plan completion condition of the previous month energy-saving indexes in a table form and displaying the plan completion trend of three major energy-saving indexes. And the completion conditions of three large environmental protection indexes (SO2 emission, NOx emission and dust emission) can be displayed. The system can flexibly display various production indexes of comparative analysis in a multi-dimensional perspective mode. And (5) carrying out mark post management. And the benchmarking indexes of the same industry are introduced, the key indexes of the units of the same type are compared, and subordinate enterprises are promoted to be aligned to advanced indexes of the same industry through the management of benchmarking, so that the technical improvement and the management level are promoted.

(3) And (4) an index library. And (4) defining indexes. The system has flexible index library management function, can self-define an index system, and can flexibly acquire index data from a third-party service system through a data acquisition interface. And (5) standardizing indexes. The power generation enterprise indexes are various, the range definition is fuzzy, the system provides index standardization, the index names are uniformly specified, corresponding index definition explanation is given, a standard formula of the indexes is defined by a user, and an accumulative formula and a summarizing formula are provided. And (5) index authority management. And the indexes are subjected to authority management according to the affiliated units and departments, so that the responsibility of the indexes is clear and the management is standard. The data authority setting is carried out on any index, and the index reading and writing authority setting is carried out according to roles and personnel.

(4) And managing the markup files. And releasing the benchmarking management information and the files and having a file transfer function. And managing the tasks. And (5) issuing a rectification task to the enterprises with the indexes not meeting the standards, and finishing the task in a limited period.

The main functions of the power plant side are as follows:

(1) and inputting the index data. And recording data which is not contained in the real-time data through the index management software recording module.

(2) And (6) querying data. The production indexes of all companies can be comprehensively inquired and contrasted and analyzed.

Energy-saving emission-reducing management unit

The main functions of the company side are as follows:

(1) and (5) performing standing book management on the enterprise environment-friendly equipment.

(2) And (5) monitoring the environmental protection equipment in real time. And extracting the running data of the environmental protection equipment from the real-time database, displaying the running condition of the environmental protection equipment in real time, displaying each index data, annotating the reason for the running quitted environmental protection equipment and counting the outage time.

(3) And (5) managing the energy-saving emission-reducing file. The system is used for filling energy-saving emission-reducing reports, pollution discharge right reports, carbon emission management report reports and the like according to the standard, information is reported through the workflow system, the information enters the company database after being checked, and various summary reports can be automatically generated.

(4) And (6) querying data. And on the basis of monthly reports reported by each power plant, the energy-saving emission-reduction data is inquired according to the power plant, indexes and time periods.

The main functions of the power plant side are as follows:

(1) and (4) entering the account of the enterprise environment-friendly equipment.

(2) And the real-time data of the environmental protection equipment is collected to the SIS database through the isolation gateway.

(3) And reporting the file. And filling and reporting an energy-saving emission-reducing report, a pollution discharge right report, a carbon emission management report and the like through the system.

(4) Plant-level energy-saving emission-reducing plan, planning and compilation, plant-level energy-saving environment-friendly report compilation and the like.

Mobile production portal unit

The service processing of the production management service on mobile terminals such as mobile phones and the like is realized through an advanced mobile application technology.

Supporting an android system and an IOS system; in the aspect of carriers, the carriers of mobile information applications such as mobile phones, pads (including iPads and android tablets) and PDAs are supported, and the limitation of the environment on management work and service processing is broken.

Through APP, better information terminal support is provided for management work, and work efficiency and service management timeliness are improved.

(1) Working platform

The APP is comprehensively integrated with a production operation supervision system, centralized display of business processing works with high information processing real-time performance such as examination and approval works, task supervision works and the like is achieved, inquiry is carried out according to corresponding authority setting, after relevant personnel log in the APP, the business to be handled with corresponding authority can only be looked up, and the function of examining and approving files at a mobile terminal is met.

And displaying parameters such as current load, generated energy, running state of each unit and the like in real time.

The method can show the main production indexes (such as generating capacity, unit utilization hours, unit plant power consumption rate, comprehensive power plant power consumption rate, power supply coal consumption, power generation coal consumption and the like) of yesterday, the real-time production indexes and index trend prediction at present and the like.

(2) Real-time data

The real-time data is completely displayed through the interface with the real-time monitoring module, so that the real-time data can be checked at any time and any place, and the service processing and the service requirement of managers can be conveniently carried out by field personnel.

(3) Data report

The main report can be generated according to the needs of the client. The system is directly connected with a short message interface, and related operation indexes can be sent to a receiving terminal appointed by a manager in a short message or multimedia message mode.

(4) Message push

The issued production tasks and supervision files can be pushed in real time, and timely reminding and feedback can be achieved.

(5) Other functions

The mobile application has strong expansibility and can meet the requirement of function increase in the future.

Data acquisition, exchange and backup unit

Because the data related to access and transmission of the system is mainly real-time data and the real-time databases used by subordinate units are relatively non-uniform, higher requirements are provided for the stability, expansibility and safety of data acquisition, the data acquisition and exchange system is listed separately, and the second party needs to fully consider the actual conditions of data acquisition and exchange of the company and the construction needs of the future system and build a data acquisition exchange service and backup platform meeting the data processing needs of the production operation supervision system.

(1) And establishing a uniform data acquisition exchange channel. All the data of the service application and the data acquisition are exchanged through the channel, and the situation that the data exchange channel is still independently constructed according to the service application at present is changed.

(2) The standard data transmission protocol: and the data transmission protocol is standardized, so that the data transmission between the service application and the data acquisition and exchange service is conveniently realized.

(3) And unifying interface specifications of the business application access data acquisition exchange service. The production operation supervision system should provide a unified access service, provide a standard, reasonable and advanced interface, reduce the coupling degree of business application and data acquisition and exchange service, and improve the stability of the interface.

The data acquisition and exchange service should support various mainstream DCS and real-time databases (such as Pi, Edna, Ihistory, Abb, instql, agilor, megger, etc.), and support various mainstream communication protocols, such as TCP, UDP, OPC, OLEDB, etc.

(4) And establishing an effective data acquisition and exchange task monitoring alarm mechanism. The production operation supervision system should support the monitoring function of all data acquisition and exchange tasks transmitted through the production operation supervision system, should remind in time when any task has an error, and the reminding mode includes various modes such as a webpage pop-up box and a short message.

(5) The data extraction function is provided. The data exchange acquisition service should support a data extraction function, that is, specified data in a specified time period can be extracted from a specified data source to another specified data source, so that the problem of data loss caused by stopping the data exchange service is solved.

(6) A set of data export system for the long-term storage of the Sis database and Oracle data is provided. The requirement may be to independently store data and restore data in units of time, rather than an incremental backup of the entire data or indivisible from the entire database. I.e., failure of data over a period of time does not cause the entire database to fail, the system should be able to do so automatically on a daily schedule.

In addition, the system will be subsequently built with a safety production management unit, an asset management unit (EAM), a fuel management unit and the like.

Technical conditions of production operation supervision system of the present application

1. Real-time database requirements

The system adopts a mature real-time database software product with wider application, has reasonable and advanced system architecture design and is verified by field operation. The system has the requirements of high reliability, stability, high concurrency, data traceability and the like, has abundant data interfaces, and can meet the requirement of secondary development. The system provides a flexible configuration tool. The capacity of the database meets the requirement of the project extension.

1.1 specific functional requirements:

supporting various point types such as switching value, analog value, date time type, character string, binary system and the like;

the data acquisition unit supports a network isolation device, and data are transmitted in a one-way mode, so that the safety of a control system is ensured;

the trend analysis function can provide a real-time and historical trend viewing function and can compare and analyze data of multiple points or single points in multiple time periods;

the patterns in the real-time database are consistent with the pictures of the field DCS, and the data and the field synchronously change, so that the production conditions of subordinate enterprises can be known at any time;

providing rich report functions;

the system has a breakpoint recovery function;

the system has a powerful graph configuration function, can quickly synchronize data and graphs of each power plant with a local real-time database, and can meet secondary configuration requirements;

the function-rich and extensible device interface is provided, and various heterogeneous protocols and control devices are effectively integrated. Such as: OPC protocol, CDT protocol, DDE protocol, UDP protocol, Modbus protocol, etc.; the system supports various main flow programming languages, and can be easily customized and developed aiming at a specific system interface through a real-time database interface API;

the development interface is provided, customers can carry out comprehensive secondary development customization, and the real-time database can provide functions of taking a maximum value, a minimum value, an average value and the like of a certain time period and can meet performance requirements.

The database has extremely high safety reliability and data recovery capability, the production process information input into the database is continuous, and data interruption or loss caused by communication failure and the like cannot occur. The data transmitted from the process system is temporarily stored in the interface equipment such as the interface computer, when the network fails, the data can be temporarily stored in the interface equipment, and after the failure is eliminated, the data is automatically transmitted to the real-time information database. The data caching capacity of the interface machine is not less than 7 days of data volume.

1.2 basic Properties:

maximum points: not less than 10 ten thousand points

Maximum number of concurrent B/S users: not less than 1000

Updating real-time data: 30 ten thousand dots/second

Real-time data query average speed >30 ten thousand points/second

Data acquisition frequency: 100 milliseconds, can be customized

Time accuracy of historical data: 1 second, can be defined

History data storage period: more than 3 years

And (3) historical data query: 10 ten thousand dots/second

Conventional disk storage compression ratio 20: 1

CPU occupation is less than 30%

Supporting manual data entry

The run was continuous for 24 x 7 hours.

1.3 other Properties of the System

Safety feature

The system does not participate in control, does not modify the existing DCS system software of each power plant, and meets the secondary protection regulation of the power system. The method has a reliable authority distribution system, can grant different authorities according to roles, and ensures data access safety.

In order to ensure the system safety, a real-time database system is installed by adopting a Linux/Unix operating system.

Reliability of

The system adopts a mature real-time database software product with wider application, has reasonable and advanced system architecture design, and is verified by multiple on-site operation.

The concurrency system supports concurrent operations of not less than 1000 users.

1.4 application host System Performance satisfaction

The system realizes that not less than 300 users can be simultaneously used online;

landing page time occurs: 3 seconds or less (except for network delay factors);

simple operation response time: 3 seconds or less (except for network delay factors);

system workflow form operation response time: 5 seconds or less (except for network delay factors);

statistical report and complex query response time: 15 seconds or less (except for network delay factors);

the time limit for up and down transmission of data files below 1M is less than 30 seconds (except for network delay factors).

Server operating environment

Various common operating systems at present are supported, including Windows, Linux, AIX, various Unix and Solaris, etc.;

the real-time database server supports the current domestic mature real-time database software product with wider application;

the database software supports mainstream databases such as Oracle, DB2, SQL, My SQL, SysBase and the like.

Mobile platform

Various mobile terminal devices and mobile operating systems commonly used in the current market are supported, including IOS, Android and the like. The system can display the running condition and the load rate of each power plant unit in real time, has a workflow approval function, can generate various reports, curve graphs and the like, and has quick response required by a mobile client. The mobile platform has high safety and avoids data leakage.

Safety requirements

The system does not participate in control, SIS software of the stock control enterprise is not modified, only the function of transmitting data upwards is added, and data of each stock control enterprise are collected in a unidirectional mode;

the irreversibility of the data of the external network is ensured, namely, the data is only allowed to be checked in the external network, and is not allowed to be modified, so that the physical isolation of the internal network and the external network is realized.

System maintenance

Providing a complete database maintenance system, wherein the system has remote maintenance capability;

the provided platform has enough transparency and developability, and a system administrator can perform basic code maintenance and report editing functions on the platform;

the user management is provided with a system protection function, and can authorize each module and set a password;

data backup and recovery can provide security protection for database data.

Other technical requirements

The system must support the WEB access through SSL and VPN security requirements;

the system supports all versions of the IE browser and other mainstream browsers, ensures the up-down compatibility of the versions and reduces the application of the plug-in as much as possible;

the system can send out flow reminding in a mobile phone and mail mode, and can support a simple flow directly processed by using a mobile phone or a mail;

integration requirements of the system

At present, a plurality of informatization systems are built by group companies, which mainly comprise: the system comprises a collaborative office system golden butterfly EAS7.5, a human resource system Lanshin sky 9.1, an information integration platform, a portal system and the like. In the scheme construction, the problem of connection between the production operation supervision system project and each system construction system in the aspects of data standards, interfaces and the like is fully considered, and multi-head data reporting is avoided. And uniformly considering the third party authentication mode for the one-key login portal and considering the subsequent unification with the authentication mechanism of the group company human resource management system.

Deployment mode

In order to simplify the deployment mode and ensure the data safety, a real-time database server is arranged in a data center, the data in the real-time databases of various plants are stored, a backup server is arranged, the real-time databases and the Oracle databases are subjected to hot backup, and corresponding backup strategies are arranged; an Oracle database for storing data extracted from the existing service system and manually entered; the Web application server provides the service support of the PC side application software platform; and the mobile application server provides APP service support for the mobile terminal. To ensure data security, the mobile application server is placed in the DMZ zone of a firewall (which is otherwise purchased) and a corresponding security policy is set.

The production operation supervision system realizes hierarchical display and report analysis in a WEB mode, and simultaneously provides open WEB empowerment browsing and a data interface platform for each factory and secondary unit.

The production operation supervision system is characterized in that a system portal interface is arranged on the layout of a software section, various application software platforms, data resources, key indexes, information bulletins and the like are uniformly integrated under a portal through the system portal interface, a personalized application interface is formed according to different use characteristics and roles of each user, and the users are organically connected together through processing and transmitting events and messages.

The data center unit of the production operation monitoring system is provided with a software interface of the data center unit, and the interface is provided with a user-defined homepage. The system homepage can be different according to the user's demand of each power plant through the way of template customization. The important production parameter monitoring contents of each unit such as the current day, the yesterday, the week, the month, the season, the year and the like are set. The Portal homepage content customization is also provided aiming at the data display requirement of the user site. And the personalized customization requirements of the user are met. The user can customize various homepages according to the self requirement, including a landing page, a personal homepage, a flexible customized menu and a personalized shortcut menu.

A software interface of the data center unit, which sets the graphical monitoring. The production real-time image monitoring is a basic application of a production real-time monitoring system on a power plant side, a user can monitor the production process of a whole plant in real time in visual modes such as graphic monitoring, trend and point information through a web browser, the graphic can be consistent with each control system, and the site production details can be accurately described in real time. The system provides a graphic configuration tool, and a user can customize the process graphics according to the requirement of the user.

The data center unit can also be capable of converting graphics from the control system via a graphics conversion tool. On one hand, the workload of the graphic configuration of the real-time monitoring system is reduced, on the other hand, the process graphics seen by a user on a client browser are completely consistent with those in the control system, and the process monitoring is really extended from a control room to a desktop.

Process point information

All static and dynamic information of the collection process points, such as values, quality, units, description, high and low limits, alarm states, record types, hardware addresses, workstation numbers and the like of the process points, is provided, and a user can conveniently know detailed information of the relevant collection points.

Production data dictionary

And the data center unit process point management and query tool enables a user to query data points of the system in a mode of pattern matching.

In the data dictionary, there are many combinations of ways to look up the measured points.

1. It can be queried by selecting the machine group number, type, controller and point name, description key.

2. Lookup and filtering can be done per roll name and description. Inputting as description: boiler, temperature

Graphical monitoring example

The production condition is monitored in real time, and main operation parameters and equipment states of each unit set and auxiliary workshops are displayed in real time through various monitoring modes such as a production flow monitoring chart, a trend chart, a bar chart, a parameter classification table and the like. The user can carry out uniform monitoring and query on each production flow on each terminal, and the sharing of production data information is realized.

By using the graph conversion tool, the graphs from the control systems of various factories can be converted into the openPlant graph format. The production management personnel can see the running condition of the system without going to the field. The refresh interval of real-time data is <2 seconds.

Mobile display of production real-time data

And counting the running indexes and trends of each plant in real time by taking time as a node, summarizing data in all aspects, and intensively displaying real-time data and curves in a time period in the system. Such as: generating capacity, coal consumption, unit state change information, index alarm information and the like, and implementation operation capacity, real-time output, output coefficient and the like.

Accident process playback and inversion

The content displayed on the picture can be quickly played back at a certain historical stage through the integrated platform system, so that a user can be helped to analyze the running condition of the equipment and search the fault development and evolution process. The method can be combined with the content displayed by any process picture in the system to inquire the evolution condition of each parameter in the history in a certain time period, thereby really realizing the continuous reproduction of the running snapshot. The playback playing can realize operations such as fast playing, slow playing, freeze frame and the like; the sampled data can be imported/exported into a file, so that the sampled data is convenient to copy, transfer and use in subsequent analysis. Such as single-picture playback, multi-picture playback, etc.

Hierarchical comprehensive query for WEB publication

Various queries can be performed on the production marketing data according to different user permissions, and query results can be provided for users in various ways such as data tables, EXCEL, trend graphs and data files. Through the setting of user's permission, can realize that group's administrative staff can inquire all production marketing data of each subordinate's enterprise, and the power plant management personnel can only look over the production marketing data of this power plant. In addition, the authority of the query can be edited and modified by a system administrator.

Production index management unit

The production index management unit functional module establishes an index reference system for each index needing to be evaluated. The reference system of each index contains the following values: domestic advanced value, group company advanced value, regional advanced value, local group history best value and local group design value. And the reason and basis for selecting the benchmark value are detailed and sufficient, the benchmark system can be scientific, reasonable and complete, can be embodied by data, effect and fact, and is continuously supplemented and perfected according to the actual situation, as shown in figure 5.

Index management is an important link of a production operation management system. Definition of Key Performance Indicators (KPIs) by a management control pod. The decision leader can intuitively control the index values concerned and controlled by the posts. Meanwhile, a traffic light management system is introduced, and the current field state and page can be traced for any index.

Benchmarking data types

The monthly bottom of month system counts each index in the index tree to obtain the completion condition of the index in the current month. And providing the index completion condition for a user, and simultaneously storing the index completion condition into a database for later inquiry and statistics. The statistics of the index are divided into three cases:

continuous index: the continuous type index has a value at every moment and is a continuous type variable, such as sulfur dioxide emission concentration, smoke emission concentration and the like. For such indicators, the difference integral is used to calculate the average of the monthly indicators.

Cumulative index: the monthly index of the accumulation type index is an accumulated value of the completion amount of each time period, such as the indexes of power generation amount, dry ash sales amount and the like. For such indexes, the index values of the respective periods are accumulated.

Statistical indexes are as follows: the statistical index is obtained by carrying out statistical calculation on various indexes according to a certain formula, such as power consumption rate of a power plant, desulfurization efficiency and the like. And calculating the indexes according to an index calculation formula set in the index tree.

Unit steady state operating condition setting

In the system, the steady-state working condition of the unit is automatically read from the data center unit, and the judgment condition of the steady-state working condition is as follows: under the load of 100 percent (75 percent, 50 percent and the like), the steady state is obtained when the duration time is two hours in a compliance range with positive and negative deviation of 1MW (specific numerical value is adjustable).

The two-hour determination conditions were: setting an auxiliary index of the cumulative times of the combined machine gauge, initializing the auxiliary index to be 0, collecting the load of the combined machine gauge once every 10 minutes, and if the auxiliary index is in a compliance range, adding 1 to the cumulative times of compliance; if the current time is not within the compliance range, setting the cumulative number of times of compliance to 0; and if the cumulative number of times of compliance reaches 12 (namely 2 hours), collecting key indexes, setting the cumulative number of times of compliance to 0, and starting a new judgment cycle.

Dynamic collection of steady state condition indexes

Establishing an independent background acquisition program, automatically judging the steady-state working condition of the unit at intervals of a sampling period, finishing the disposal of the accumulated times of unit combination compliance according to the definition condition of the steady-state working condition, and automatically acquiring the key index value of the unit when the acquisition condition of the steady-state working condition is reached and storing the key index value into a steady-state measurement database.

Benchmarking system construction and analysis

Through the construction of tools, a benchmarking index system of production and management of index enterprises can be established, the calculation formulas and the audit relationship of the indexes can be set, and the standard values, the target values, the effective range values, the upper and lower limit range values, the failure range values and other numerical values for comparative analysis corresponding to the indexes are set. The analysis basis of traffic lights, an index table and a comparison curve can be realized through setting the values. It is also possible to define the attributes of the temporal nature for each index: real-time indicators, periodic indicators (year, season, month, day, shift), aperiodic indicators.

The index system can be released, displayed and managed in a hierarchical mode according to a tree mode, the indexes can be refined and decomposed step by step, and the mutual hooking relation between the upper and lower indexes and the related indexes of the same level can be ensured. Meanwhile, the relation between each index and the corresponding comprehensive query can be defined, so that an analyst can query the original index according to the condition of the index.

The user can obtain the analysis conclusion in real time according to the inquired index result, and the system can store the real-time analysis data and the analysis conclusion in a snapshot mode, so that relevant bases are provided for management and decision making.

Production index analysis display

The collected real-time data is counted and secondarily calculated, the key data of each plant are classified and summarized, and are compared and analyzed with the dispatching data of the company management department and the power grid side, and the key data are displayed in the system in a centralized mode. Such as: the completion rate of the power generation task, and the like.

Analysis of production index

(1) Cost analysis

The cost actually generated in each production link of the power plant is extracted, the cost of the power plant under different unit combinations and different power generation output states is calculated, and a reliable basis is provided for forecasting the quotation of the power plant.

Data acquisition

The type and number of monitoring points that need to be collected to collect data from the plant SIS system depends on the type of SIS system and boiler-steam turbine. SIS systems must be able to provide real-time data for these monitoring points. Such as: the power of the generator, the electric power of the plant, the coal flow, the oil flow and the like are not complete for the equipment for detecting the same quantity of coal yard, coal as fired, water meter and plant electricity, or the fitting of the economic characteristic curve is carried out for the power plant with longer data acquisition period by adopting an average value form in a period of time. And collecting production plan and financial management data required by cost accounting of the whole plant from plan statistic management, budget management and financial management, and performing dynamic management on data required by unit fixed cost calculation.

Cost accounting

The main contents of cost accounting are: the system comprises the following components of annual actual total cost, annual actual unit cost, monthly actual total cost, monthly actual unit cost, daily actual total cost, daily actual unit cost, real-time unit cost, plant-level comprehensive cost and different unit combination cost;

calculating the cost of the previous stage (the cost-keeping electric quantity and the cost price);

various distribution standards (apportionment according to the generated energy, apportionment according to the running hours, apportionment according to the cost plan and apportionment according to the actual occurrence) and self-defined distribution standards of fixed cost are provided.

The schematic logic of cost accounting is shown in FIG. 6.

Cost analysis

The system analyzes the total cost and the unit cost according to the actual cost of each production link of the power plant by year, month and day, analyzes the relation between the real-time load of the unit and the coal consumption rate of power supply, and the relation between the real-time load of the unit and the unit cost of power supply in the form of curves and reports, and can complete cost composition analysis, fixed cost allocation and input-output analysis at the same time, thereby providing a reliable basis for predicting the quotation of the power plant.

Providing structural analysis of the amount of each cost item of the power, analyzing the composition of the power cost, and determining the cost items of key control;

cost analysis of different cost types of the electric power is provided, comparative analysis between actual cost and planned cost and budget cost formulated by enterprises is performed, and potential of cost reduction is excavated;

cost analysis is provided in different periods, and the development trend of each cost type in time is analyzed by defining the cost type and the accounting period. The system can process historical cost data accumulation as a reference for cost and quote decision making. For example: the change of fixed cost, the change of variable cost, the change of total cost, the change of input and output, etc. of a given period in the past are displayed in a graph mode according to the data accumulated in the database.

(2) Electric quantity analysis

The function comprises management of information related to electric quantity such as external information accounts, maintenance plan accounts and the like, statistics and analysis of data such as power generation plans, power rates, actual power generation amount, power selling income and the like, and a bidding electric quantity prediction model is provided, so that simulation operation can be performed before bidding by a power plant.

(3) Coal consumption analysis

And (4) coal consumption analysis, namely calculating the coal consumption cost of the generated energy through the definition of a fitting function for calculating the coal consumption cost or manual weighted calculation. The coal consumption cost can be traced back to the result composition of the coal quality test.

Analysis of benchmarks

Index management is an important link for assisting decision. Definition of Key Performance Indicators (KPIs) by a management control pod. The decision leader can intuitively control the index values concerned and controlled by the posts. Meanwhile, a traffic light management system is introduced, and the current field state and page can be traced for any index.

continuous index: the continuous type index has a value at every moment and is a continuous type variable, such as main steam pressure, main steam temperature and the like of the boiler. For such indicators, the difference integral is used to calculate the average of the monthly indicators.

Statistical indexes are as follows: the statistical index is obtained by carrying out statistical calculation on various indexes according to a certain formula, such as the power generation coal consumption rate, the power plant power consumption rate and the like. And calculating the indexes according to an index calculation formula set in the index tree.

(5) Performance assessment

The performance assessment is an important link of production, management and comprehensive analysis management, is the basis of analysis, query and report forms, can establish an index system, issue indexes and display index information and index analysis through a performance assessment module, and can define the composition relationship and source of the original data of the indexes. The system provides a whole set of performance assessment models for production and operation of power generation enterprises and index templates for integrating the indexes into other modules.

The method mainly comprises the steps of performance evaluation mode issuing, continuous evaluation standard issuing, performance evaluation test paper issuing, and annual, quarterly and monthly performance evaluation result issuing. The evaluation management is transparent and standardized.

Various indexes of the assessment rules, assessment scoring weights, assessment scoring standards and the like can be flexibly defined, and an assessment table is set;

different assessment rules (qualitative and quantitative) can be set and adjusted according to the posts and departments;

the examination period can be flexibly set;

the assessment hierarchical relationship can be flexibly set;

a rolling assessment plan is formulated, assessment objects and assessment rules are selected, and participants are designated;

the assessment results are associated with salary, career planning and training;

the recording period of the examination result can be flexibly set;

analyzing the improvement condition of the performance of the staff and the department according to the historical record of the assessment;

the assessment results are statistically analyzed from different angles by using an assessment result correspondence table (expected targets and finished targets);

and (4) providing employee performance assessment result query, complaint and processing.

Through the construction tool, relevant indexes of production and operation of index enterprises can be established, a calculation formula and a check relation of the indexes can be set, and standard values, target values, effective range values, upper and lower limit range values, failure range values and other numerical values for comparative analysis, which correspond to the indexes, are set. The analysis basis of traffic lights, an index table and a comparison curve can be realized through setting the values. It is also possible to define the attributes of the temporal nature for each index: real-time indicators, periodic indicators (year, season, month, day, shift), aperiodic indicators.

The index system can be released, displayed and managed in a hierarchical mode according to a tree mode, the indexes can be refined and decomposed step by step, and the mutual hooking relation between the upper and lower indexes and the related indexes of the same level can be ensured. Meanwhile, the relation between each index and the corresponding comprehensive query can be defined, so that an analyst can query the original index according to the condition of the index

Energy-saving emission-reducing management unit

The energy-saving and emission-reducing functions mainly realize the management of environmental protection facilities and the data reporting management of each power generation enterprise. The main functions are introduced as follows:

the functional framework of the energy-saving emission-reducing management unit is shown in figure 7.

Introduction to main function

Alarm management

The alarm management mainly comprises the functions of alarm information inquiry and alarm information statistics. And when the unit is abnormally discharged, an alarm is triggered, and an overproof prompt is sent to the mobile phone of related personnel, so that the problems related to environmental protection are timely treated.

Alarm query

The system can inquire the alarm condition through the name of the unit facility, the alarm type, the starting and ending time and the like. The type of alarm, the time of the start and the end of the alarm and the details of the alarm are displayed on the page.

The alarm types in the system comprise data loss, a constant value, data overrun alarm, unit shutdown, furnace start-up failure, desulfurization facility shutdown, CEMS data distortion degree alarm and overproof alarm. The alarm rules of the system can be configured according to actual conditions and operation experience.

Data missing: alarm is generated due to the lack of working condition data;

constant value: alarm generated when working condition data are constant;

the unit is shut down: the unit generates an alarm generated by shutdown;

stopping the operation of the pollution control facility: alarm generated when the desulfurization facility is shut down:

starting the furnace without starting the machine: the state alarm of the boiler starting but the unit is not connected to the grid is given;

data overrun: when the data exceeds the minimum and maximum values set by the system, an alarm is given;

and (4) exceeding the standard and alarming: and (5) alarming that the pollutant emission concentration is greater than the emission standard.

The online data exceeds standard by one time as follows: and alarming that the emission concentration of the online data is more than the emission standard and is less than one time.

The online data exceeds the standard by more than one time: and (4) alarming that the online data emission concentration is more than one time of the emission standard.

Online data loss: on-line data loss generating alarm

And (3) counting the over-standard emission condition of each unit in the whole plant: and (4) triggering an alarm when the unit emission abnormity exceeds 1 minute, and sending an overproof prompt to the mobile phone of related personnel. When the load of the unit is less than a certain value, an alarm is triggered to prompt the running state of the unit

Alarm statistics

The alarm statistics page can inquire the alarm condition of the unit in a selected time period by selecting the unit name and the starting and ending time, and mainly comprises a total abnormal constant, a data overrun frequency, an association degree abnormal frequency, a rule abnormal frequency, a data jumping frequency and a data supplement frequency. By clicking the corresponding alarm counting times, specific alarm information can be displayed.

Statistical report

The statistical report mainly comprises a production and pollution discharge data statistical table, a working condition monitoring monthly report, a working condition monitoring quarterly report, a working condition monitoring annual report, an overproof emission concentration monthly report and the like. And automatically and periodically generating daily reports, monthly reports, annual reports and environment-friendly electricity price reports according to the provided report format, data source and formula by using DCS historical station data and CEMS system data read by the SIS system.

Production and pollution discharge data statistical table

And displaying the statistical parameters of the emission data of all the units of the enterprise on a page by selecting the starting and ending time, wherein the statistical parameters comprise the name of the enterprise unit, the installed capacity, the average load of the unit, the running time of the desulfurization, the running time of automatic monitoring equipment, the generated energy, the coal consumption, the average sulfur content of coal, the desulfurization efficiency, the desulfurization operation rate, the average reduced concentration of SO2, the emission of SO2, the average reduced concentration of NOX, the emission of NOX and the flow of flue gas. The report is displayed in a list form and can be exported in an Excel format.

Monitoring weekly report

The monitoring weekly report (working condition) counts working condition index data according to the week, the data source is working condition data, and the data source can be inquired according to the time; the viewed content can be selected as required. The weekly reports in the corresponding format can be derived. The index data includes: the method comprises the following steps of average load of a unit, load rate of the unit, frequent operation of the unit, operation rate of the unit, power generation amount, coal consumption, calculated sulfur of coal, coal consumption of power generation raw coal, desulfurization commissioning rate, desulfurization efficiency, comprehensive desulfurization efficiency, accumulated inlet flue gas flow, concentration mean value of inlet SO2, accumulated outlet flue gas flow, concentration mean value of outlet SO2, SO2 production amount, SO2 emission amount, SO2 emission performance value, S02 reduction amount, SO2 reduction rate and the like.

And can increase indexes such as small ammonia spraying time, denitration commissioning rate, denitration efficiency, comprehensive denitration efficiency and the like according to requirements.

Monitoring monthly newspaper

The monitoring month reports (working conditions) count working condition index data according to months, and the data source is working condition data which can be inquired according to time; the viewed content can be selected as required. A monthly report in the corresponding format can be derived.

Monitoring season newspaper

Monitoring season report (working condition) and counting working condition index data according to seasons, wherein a data source is working condition data and can be inquired according to time; the viewed content can be selected as required. Quarterly reports in the corresponding format can be derived.

Monitoring annual newspaper

Working condition index data are counted according to the year by monitoring annual reports (working conditions), and a data source is working condition data which can be inquired according to time; the viewed content can be selected as required. The annual newspaper in the corresponding format can be derived.

Monthly newspaper with overproof emission concentration

The working condition data standard exceeding statistics monthly report comprises daily average standard exceeding statistics and hour standard exceeding statistics, and the maximum value, the average value and the minimum value of the hour standard exceeding SO2 concentration and standard exceeding multiple of an enterprise in one day are counted.

Standard exceeding statistics can be inquired according to the time; the reports can be sorted; the viewed content can be selected according to the requirement. And a daily average value standard exceeding statistical report with a corresponding format can be derived. Day, hour data may be drilled down.

Counting the running conditions of each CEMS instrument in the whole plant

In addition, the system can perform user management and role management, the system can set a corresponding user identity system according to different user ranges (such as internal users, external users and the like), and an administrator performs role authorization on each user role.

And managing the basic information and the specification parameters of the unit, wherein the basic information, the specification parameters and the basic parameters of the pollution control facility are included. The basic information and specification parameters of the unit are mainly displayed. The basic information comprises an enterprise name, a desulfurization process type, a denitration process type, a dedusting process type and the like; the specification parameters include combustion mode, boiler type, critical state, boiler efficiency, design sulfur, etc. The basic parameter management of the pollution control facility comprises parameters of a desulfurization facility, a denitrification facility and a dedusting facility, and also comprises a facility ledger and design information. The enterprise information management is mainly used for checking the basic information of each user enterprise. The method mainly comprises enterprise type, short name, legal person code, legal person name, enterprise code, enterprise IP address, enterprise serial number, enterprise address, postcode, website address, enterprise contact person, enterprise contact phone, fax, environment-friendly contact person phone, electronic mailbox, production scale, pollution discharge declaration registration number, pollution discharge license number, longitude, latitude and main pollutants.

Mobile production portal unit

The mobile production portal unit provides a set of mobile end application which can browse the system on clients such as smart phones, industrial tablet computers and the like, supports a mainstream Android platform and an ISO platform, and can automatically adapt to the smart phones and the industrial tablet computers according to terminal hardware parameters; the method is developed based on a C/S (client/server) architecture, and cannot be realized in a remote access mode (developed in a native mode) through a mobile phone browser in order to ensure the safety of system data; data transmission adopts VPN safety encryption, a user name and a password of a client can be bound with hardware information of a terminal, such as IMEI (international mobile equipment identity), and even if the terminal or the user name and the password are lost, the data safety can be ensured to the greatest extent; the benchmarks can be combined and compared with the units of different power plants at will; the operations of double-finger amplification and reduction, single-finger sliding page turning, time axis control and the like are supported; and the trend and trend group display supports operations such as clicking pop-up trend, trend comparison and the like on the graph. The major event alarm content and the customized report data can be sent to the user mobile terminal, so that the production event information can be known anytime and anywhere, and the response can be timely realized.

The short message center is also arranged, related information (emergency affairs such as overrun, alarm, service processing and the like) can be customized according to the attention point of the short message center, when the accident happens, the accident can be known at the first time, and the handling measures can be taken at the first time. Aiming at the functions of alarming, early warning and the like of important equipment in the system, a short message notification is sent when the data abnormality of the equipment is detected; the system provides a manual short message sending mode for processing the contents of the unintended short message tasks and the like.

Data acquisition, exchange and backup unit

The production operation supervision system is an information integration and expansion scheme integrating five roles of data integration, service integration, flow optimization, service planning and decision quantification and positioning. In order to realize the functional target of clear hierarchy and complex data acquisition and screening processes, the basic function of the data integration platform is particularly important.

The design of the data integration platform of the production operation supervision system faces double tasks. Firstly, the task of integrating multiple and heterogeneous data sources is faced; and secondly, the process of sorting, cleaning, displaying and analyzing the data must be solved, and the transition from the data to the value-added information is realized.

Data integration platform-data warehouse construction

The process of defining, building and using a data warehouse:

and establishing a model for the business requirements of the user. The data warehouse is designed by knowing the user's information requirements and then converting these information requirements into a data model.

A model is built for the metadata. While useful in modeling user needs, data warehouse design must also model metadata (data about data). This information determines the scope of the data entering the data warehouse, as well as the specifications related to the data. Since data warehouses are theme-oriented, the modeling of metadata may span several functional business areas. Metadata is classified into two categories: loading and user.

The load describes all data sources, and all the specifications related to extracting, refreshing, and transferring data to the data warehouse. The end-user pair model is matched to the business usage of the data. The end user takes this as a map and accordingly accesses and searches the information. Evaluation, decision, implementation abstraction, translation and access tools. The requirements of the end user and the associated metadata in the system build a model, which in turn requires the selection of implementation tools for implementing the data warehouse. Finally, tools are selected that meet the user's needs and the user will use these tools to directly (or build an application software platform) access the information stored in the data repository.

The data integration platform achieves the goal of massive integration for any data source, any data, any access requirement. The data integration platform supports:

any data Source (Any Source)

The sources of data collected in the data warehouse are numerous, including internally stored business data and external data. Traditionally, most of the data in the data warehouse comes from data in internal business systems, such as business systems or various customer information systems. However, externally sourced data is also becoming more common and will provide more data than internally sourced. The two data sources are merged in a single storage system and managed to provide seamless access to both data sources for the end user.

Anything (Any Data)

In view of the range of users of data warehouses that need to be accessed at present, system designers are faced with a myriad of different needs. Access to the data must be quick, intuitive and direct. Most users require direct querying and in-depth capabilities, while others require more sophisticated analysis capabilities. While the data warehouse must be able to process data in new formats, such as audio, visual, textual and spatial data. Moreover, increasing numbers of users have placed a great deal of historical demand, often leading to the emergence of very large scale databases (VLDB). To meet these demands, high demands are put on a database system as a core of a data warehouse, and a distributed-based data warehouse core technology can fully meet the demands.

Any Access requirement (Any Access)

Based on a wide range of tool sets of a data warehouse, various types of users can be helped to access data stored in the data warehouse, and the users of the data warehouse are divided into two types: the first category is the random query and report, drill-in and rotation of data, and this category of users needs a direct and intuitive tool to help them easily access data to make informed business decisions. Another category of users are high-level managers and decision makers of enterprises that need to perform more sophisticated, higher-level, and more thorough analysis (modeling, forecasting, and hypothesis analysis, etc.) to support business strategy development. The two types of users represent the requirements of the whole power plant for information access. The data warehouse breaks through the scope of managers and analysts, and personnel at all posts of a power generation enterprise can use the data warehouse.

Construction of data integration platform-topic analysis tool

Top-down planning divides the totality of data stored in a data warehouse into manageable units, namely a subject database. The theme database in the production operation supervision system is divided into 3 layers: service data tracing level, workflow monitoring level and index data assessment level.

Therefore, a data warehouse platform of the matrix-shaped theme analysis objects is constructed, and the searching, the series connection and the combination of any matrix object are realized by the provided analysis tool.

The theme database is a data group which is managed in a centralized way and shared by professional systems. The platform is combined with a data warehouse and an online transaction processing system to design an ad hoc query and online statement analysis tool, provides a query time prediction function, an aggregation management function and an automatic redirection function, and provides stronger decision support capability for users.

Data interaction application platform

(1) Integration of professional databases

The production operation supervision system has databases of EAM, project management, operation management, safety management and the like based on a relational architecture, and also has a real-time compression type database based on SIS. From the perspective of system development and future needs, the system can be designed according to the database composition structure of the DPM system and the business characteristics of each unit department, and considering the existing server distribution condition.

The whole database takes a DPM system as a core, and logically, a hierarchical distribution structure with each subsystem as a branch exists. The system is physically divided into an enterprise-level data warehouse server, a unit department-level database server and a network workstation for storing a local database server. The corresponding databases are also classified into three types: an enterprise-level data warehouse system, a department database system of a special unit department and a local database storage subsystem on a network workstation, namely a website database.

In addition, according to the data use frequency, the whole enterprise DPM database is designed into a working database and a historical database, the working database stores the enterprise business information of the current year, the historical database stores the business information of the past year, the working data of the previous year is backed up to the historical database every year, and the backed-up data in the working database is cleaned. The system provides the function of dynamically inquiring and analyzing the working database data and the historical database data on line.

(2) Integration of topic databases

The theme database is a non-fixed database set and is a class view established on the basis of a professional database. From the practical aspect of producing the intelligent monitoring system, the theme database is a series of theme views established according to the analysis proposition of the demand, and from the aspects of improving the query efficiency and saving the data space, the theme database only stores the logic index and the calling process of the views.

From the practical point of view of the plant economic activity analysis, the initialized topic database will provide: production data benchmarking analysis, production index early warning, operation data analysis and off-line data analysis.

(3) Database of aid decision

The assistant decision database comprises three parts, namely a historical unity-ratio database, a historical ring-ratio database and a DuPont model analysis database, and provides a historical tracing and comparison knowledge base for assistant decision.

And combining the model library to realize the combination of the assistant decision and the analysis method. The method comprises the following steps: elastic coefficient method, regression line analysis method, growth rate method, factor method, difference analysis method, index decomposition method, interlink substitution method, fixed base substitution method, item-by-item decomposition method, historical synchronization comparison analysis, smooth trend movement analysis, moving average analysis, plan target comparison analysis, same industry index comparison analysis and the like.

Data backup and recovery provide a complete backup strategy and a recovery strategy.

Having good maintainability is an important aspect of ensuring reliable operation of the system. The system provides the following main maintenance management functions:

network maintenance and management functions: in the maintenance management tool, the working states of all servers and workstations and the running states of all power plant side interfaces can be displayed, configured and managed.

The management and maintenance functions of the user authority are as follows: and setting different user rights according to different user levels. And setting, inquiring, importing and exporting data and other different levels of authority.

Remote maintenance of data points and interface machines at the plant side: under the condition of ensuring that the hardware and the network of the interface machine at the power plant side work normally, the company side has the functions of remotely configuring data points, starting and stopping an interface program and updating the version of the interface program, so that the data can be conveniently processed when the data transmission fails.

Managing a system running log: the running information of important system components such as a server, a workstation, a real-time/historical database and the like in the running process of the system is recorded and can be inquired.

System backup and recovery functions: including backups of real-time/historical database profiles and related data, and backups of servers, workstation systems, and software.

Performance characteristics of the present application

Stability and reliability: stability and reliability are the most fundamental requirements that a system must have; the system should be able to operate continuously, stably and reliably; interface development, picture configuration, data statistics and the like are required to ensure stable and reliable operation of the system; the system has reliable work, perfect backup strategy and fault diagnosis function, and provides a convenient troubleshooting tool.

Practicality and flexibility: the system approaches the industrial characteristics and the production management requirements of our company, can meet the functions required by projects, has flexible configurability, can adapt to the management requirements of various modes, the change of the operating environment, the change of interfaces with other software, the change of precision and effective time limit and the change or optimization of the business process.

Advancement and maturity: the system design adopts an advanced, mature and sustainable development technical method, combines advanced management ideas and concepts with actual work, and has foresight. Adopts an open system structure, adopts the mainstream technology in the technical field of networks and computers, and selects products with advanced technology.

Perspective and completeness: the system platform and the architecture provided by the second party have good foresight and expandability, not only the construction requirements of the project are completely met, but also the requirements of the function expansion of the project in the future are met, the consistency, systematicness and integrity of the project construction are ensured, the system platform and the architecture meet the requirements of the group management and control in the future, and the realization of the overall target of the project of the company is ensured.

Safety: the system should meet the secondary protection requirement of the power system, and allow authorized users to execute legal operation and access legal data; data security control can be performed at a database level, a table level and a field level; the system realizes auditing and tracking functions at a database level and displays information of operating users; the system supports regular automatic backup and irregular manual backup of key application data and system data, and data recovery can be performed in time when the data are damaged; the system is required to support authentication modes such as integrated CA and the like, and identity authentication is uniformly carried out on users; the application software platform is designed and developed according to the specification of writing the security code, so that the security loopholes are avoided to the maximum extent, after the system development is finished, a special testing mechanism is used for carrying out security testing on the code, developers are required to carry out code modification according to the full cooperation of testing results, and the code modification is obligated according to new security loopholes within a certain time when the system is applied to the online; the transmission and storage of authentication data in the system are protected, the protection strength of confidentiality, integrity and availability of the authentication data is ensured to meet the business requirements, and the confidentiality of user names and passwords accessing a database system and a middleware system is ensured; the database backup can be used for quick recovery in case of database crash.

Extensibility and maintainability: the concept of SOA is adopted in system architecture and service implementation, and the service processing function needs to have a componentization mode to improve the capability of software adapting to change and the automatic recombination capability of software. The system has good structure and is easy to adjust, expand and maintain. The system platform is required to have good compatibility, and the system platform is required to be easy to expand, modify modules, add new functions and recombine in the future; the system administrator has a uniform authority maintenance function; allowing expansion of the application modules, including increasing the number of functional modules and users; the software itself must be flexible to adapt to the change of the requirements as the requirements of the management service increase; the system should be constructed in accordance with easy maintenance principles. The system is required to fully consider the difficulty level of maintenance when in design and development.

Ease of use: the system is friendly to human-computer interface. The picture is beautiful, the operation is simple and convenient, the picture is simple and clear, the picture is easy to learn and use, and the use habit of a user is approached. The computer can process the data to realize computer processing, so that manual processing is reduced as much as possible; the input data is shared by the whole system after being input for one time, so that the repeated input of the data is avoided; the data query is convenient and fast.

Fault tolerance: the method has good fault tolerance, error detection and correction functions, and ensures the correctness, consistency and integrity of data.

Compatibility: the system has a standard open interface and can meet the data transmission requirements of other management software;

standard property: the system should fully support the industry standard, the application server program can be connected with various mainstream real-time databases and relational databases, and supports the industry mainstream standards such as SOA, WebService, XML and the like.

The problem of the data sharing between the affiliated power generation companies of my company and the company's local department is solved to this application, realizes that the power plant side data is automatic to be collected to the corresponding module of data center, reduces artifical volume of typeeing, improves management and control data and obtains efficiency and data authenticity. The problems of data interaction and sharing between the production control data and the management information system are solved; the problem of each power generation company independently build the same kind of system, the repeated investment is solved. Unified identity authentication and identification are carried out through one-key login; the problem that different service data sources need to be switched to different application software platforms when being checked is solved, namely, data concerned and concerned by different users can be customized by the self-service platform.

The above is a related introduction to the main functional components and software and hardware components that the system has completed, and the content of software programming is not specifically described, but is mainly the implementation of codes. The software is applied to the production management of our company and multi-level stock control company, and after a period of time, the system runs stably, can realize the project design target, provides better data basis for the operation management and decision of our company and group level, and has important significance for informatization construction. On the basis, information such as human resource management, party work management, fuel management system, safety management, enterprise asset management and the like is integrated in the next stage, so that the application range and the integration capacity of the system are further improved, and the strength is increased for the informatization development of companies.

While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes may be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims

1. A production operation supervision system is characterized in that the production operation supervision system is used for being accessed and used by a plurality of users; the production operation supervision system collects and stores production operation information data of a plurality of users, carries out statistics, calculation and analysis according to requirements, and provides different users for use according to preset authority; the system comprises:

2. The system of claim 1, wherein the system is configured to set a mobile terminal device access mode, and the user logs in to allow the end user to use the system through the mobile device.

3. The production operation supervision system according to claim 1, wherein the data center unit comprises

4. The production operation supervision system according to claim 3, wherein the processed data of the production operation overview part comprises basic equipment data, unit output condition, non-stop prompt, statistical analysis, and unit online performance diagnosis; wherein:

the unit output condition comprises an output curve and a unit running state;

5. The production operation supervision system according to claim 1, further comprising a production index management unit, the production index management unit comprising a production index statistics part, an index comparison analysis part, an index library, an benchmarking task management part;

6. The production operation supervision system according to claim 5, wherein the production index statistical part collects user SIS system index, electric energy metering system index, information integration platform input data center unit, and

7. The production operation supervision system according to claim 1, further comprising an energy saving and emission reducing management unit comprising an environmental protection equipment ledger management, environmental protection equipment real-time monitoring, energy saving and emission reducing file management, data query part,

8. The production operation monitoring system of claim 1, further comprising a data collection exchange and backup unit for exchanging data by establishing a unified data collection exchange channel, monitoring data collection exchange tasks transmitted therethrough, extracting specified data from a specified data source to another specified data source, and performing a call process of the formed storage logical index and view; storing; reminding the task of error; and can independently store data and restore data in units.

9. The production operation monitoring system of claim 8, wherein a model is established for metadata during the collection exchange process and a data warehouse is constructed, and a user accesses information stored in the data warehouse through a user demand tool; dividing the whole data stored in the data warehouse into a plurality of units, constructing a matrix-shaped data warehouse platform, and searching, connecting and combining matrix objects through an analysis tool;

10. The production operation monitoring system according to claim 1, further comprising a mobile production portal unit, which processes production management services, displays real-time data, generates, views, sends data report, and pushes messages through the mobile terminal according to corresponding authority settings.