A double-platform industrial production energy metering data management and control system and method

Abstract

This invention proposes a dual-platform industrial production energy metering data management and control system and method. The system includes a local server and a cloud server, as well as a data link for networking communication between high-voltage power distribution rooms, power generation systems, and several sets of PLCs controlling production. The local server reads the energy data to be managed through the data link network, stores and integrates the data in a database, and provides data retrieval for local workstations. Simultaneously, it uploads the collected data to the cloud server. The cloud server has independent database storage and processing functions, enabling remote data retrieval and monitoring via mobile terminals or computers. This invention can integrate energy-related data such as electricity, gas, steam, compressed air, and power generation to form a relatively complete overall energy metering data management and control system.

Description

Technical Field

[0001] This invention relates to the field of industrial data management and control technology, and in particular to a dual-platform industrial production energy metering data management and control system and method. Background Technology

[0002] The monitoring of commonly used data such as electricity, gas, steam, compressed air, and power generation in the factory area is scattered and difficult to manage. It requires a large amount of human resources and the management model is relatively extensive. Everything requires on-site browsing and retrieval of real-time data, which cannot be effectively used for statistical monitoring. This is not conducive to refined management.

[0003] With the rapid development of network and data processing technologies, it has become feasible to centrally integrate, statistically analyze, and process relevant data from a certain region. Summary of the Invention

[0004] This invention proposes a dual-platform industrial production energy metering data management and control system and method, which can integrate energy-related data such as electricity, gas, steam, compressed air, and power generation to form a relatively complete overall energy metering data management and control system.

[0005] The present invention adopts the following technical solution.

[0006] A dual-platform industrial production energy metering data management and control system includes a local server and a cloud server. It also includes a data link for networking and communication between multiple high-voltage substations, power generation systems, and several sets of PLCs controlling production, via fiber optic cables, network cables, RS-485 communication lines, communication processors, and network switches. The local server reads the energy data to be managed through the data link network, stores and integrates the data in a database, and provides it for local workstations to access. Simultaneously, the collected data is uploaded to the cloud server via a cloud router. The cloud server has independent database storage and processing functions, enabling remote data retrieval and monitoring via mobile terminals such as smartphones, tablets, or computers.

[0007] The energy data to be controlled is the operating data of power equipment, including current, voltage, temperature, flow rate, fault alarm, and real-time energy consumption instantaneous flow data of gas, steam, and compressed air. The power data is collected from the integrated protection device, multi-functional instrument, and wireless temperature measurement device in the high-voltage power distribution room, while the relevant energy data of gas, steam, and compressed air are collected from the primary automation control PLC in the production site. The data is then collected by the communication management unit and uploaded to the local server.

[0008] The local server is equipped with platform software for generating corresponding energy consumption monitoring data, statistical reports, and curve data. The energy consumption monitoring data, statistical reports, and curve data generated by the platform software are uploaded from the local server to the cloud server.

[0009] In the data link, multiple high-voltage power distribution rooms, power generation systems, and several sets of PLCs controlling production are connected via optical cables, network cables, 485 communication lines, communication processors, and network switches for network communication. Among them, the high-voltage power distribution room integrated protection device (including power generation data acquisition) and the primary automation control system PLC device at the production site are connected to the communication management unit via network cables to read the current, voltage, circuit breaker position, opening and closing status, fault information, gas, steam, and compressed air flow at the production site. The multi-functional instruments in the power distribution room are connected to the communication management unit via 485 interfaces, and the wireless temperature measurement system is connected to the communication management unit via 485 interfaces or network cables.

[0010] When the local server integrates the collected data, the specific content includes the compilation, data integration, data collection, and data display of the power distribution room comprehensive protection and power generation, multi-functional instruments, and wireless temperature measurement background monitoring screens; as well as the modeling, screen compilation, data integration, data collection, and data display of gas, steam, and compressed air related data.

[0011] When configuring the local server, the specific configuration content includes the installation of the background monitoring system, the database installation, the modification of permission settings, and the configuration related to the power and wireless temperature measurement parts, including the databases of each station, the remote signaling point table, the remote measurement point table, the remote pulse point table, and the design and compilation of the electricity consumption synthesis point; it also includes the design and compilation of energy data points for gas, steam, and compressed air.

[0012] The specific configuration details for publishing the collected data to the local workstation include:

[0013] A1. Compilation of monitoring screens for power distribution room integrated protection, power generation, multi-functional instruments, and wireless temperature measurement;

[0014] B1. Main screen settings, including sub-charts and function index; also includes electricity data collection and display, load distribution of each device, load curves, hourly, shift, daily, and monthly electricity consumption, peak and valley power generation bar charts, pie charts, data statistics display, and EXCEL report export.

[0015] C1. Statistical charts, including single cabinets, work groups, workshop areas, power distribution rooms, various production areas, and the entire production area. Alarm display scrolling window setup, screen number configuration, network topology diagram creation, power distribution room sub-diagram creation, and screen number configuration;

[0016] D1. Modeling of gas, steam, and compressed air flow rates, main screen settings, including sub-maps and function indexes;

[0017] Energy data acquisition and display for E1, gas, steam, and compressed air; flow distribution and flow curves at all levels; hourly, shift, daily, and monthly flow; data statistics and export to Excel reports; statistical charts including single cabinet, shift, workshop area, each sub-production area, and the entire production area; display of scrolling window compilation and screen point number configuration when an alarm occurs.

[0018] When configuring the cloud server, the specific configuration content includes the installation of the background monitoring system, the installation of the database, the modification of permission settings, and the configuration related to the power sector, including the databases of each station, the remote signaling point table, the remote measurement point table, the remote pulse point table, the design and compilation of the electricity consumption synthesis point, and the design and compilation of the energy data points for coal gas, steam, and compressed air.

[0019] Configuration for publishing data to mobile terminals includes:

[0020] A2. Compilation of monitoring screens for power distribution room integrated protection, power generation, multi-functional instruments, and wireless temperature measurement, including main screen settings, sub-maps, and function indexes;

[0021] B2. Electricity data collection and display, including load distribution of each device, load curve, hourly, shift, daily and monthly electricity consumption, peak and valley power generation bar charts, pie charts, data statistics display and EXCEL report export. The statistical charts include single cabinet, shift, workshop area, high voltage distribution room, first phase sintering area, second phase sintering area and the entire sintering area.

[0022] C2. Alarm display scrolling window setup, screen dot number configuration.

[0023] D2. Network topology diagram creation, sub-diagram creation for each high-voltage power distribution room, and configuration of screen point numbers;

[0024] Energy data display modeling for E2, gas, steam, and compressed air, including main screen settings, sub-charts, and function indexes. Gas, steam, and compressed air flow data acquisition and display, flow distribution at each level, flow curves, hourly, shift, daily, and monthly flow, data statistics display, and EXCEL report export. The statistical charts include single cabinet, shift, workshop area, various production areas, and the entire production area.

[0025] F2. Alarm display scrolling window setup, screen dot number configuration.

[0026] The workstations are located in the areas that require control, and the monitoring backend of each workstation includes system monitoring software and database software.

[0027] The monitoring backend has the function of setting alarm ranges for abnormal temperature, current, voltage, and flow values, which can be set by the on-duty personnel. When abnormal operating conditions of temperature, current, voltage, and flow values ​​occur, the monitoring backend pops up a message and sends it to the cloud platform, so that the cloud platform can push alarm information to the designated contact person in real time according to the corresponding information in the message.

[0028] The dual-platform industrial production energy metering data management and control method adopts a dual-platform industrial production energy metering data management and control system, including data processing methods and statistical methods.

[0029] Data processing methods include:

[0030] A3. A real-time database is used to perform reasonableness verification and upper / lower limit comparison on analog quantities, and real-time scanning of digital quantities is performed with a resolution ≤1ms. Events related to switch changes are recorded and alarms are output.

[0031] B3. Process and save important historical data to ensure that data is not lost during system restart;

[0032] C3. Data editing and management utilize a fully graphical interface;

[0033] D3. Utilize historical databases and files: Permanently store daily, monthly, and annual data, as well as alarm records (switch changes, data exceeding limits, protection alarms, channel events); perform daily and monthly searches of historical data to enable operations on the historical database; perform daily and monthly statistics on any data point, specifying the maximum, minimum, and time of occurrence for that data on that day, and the maximum, minimum, average, and time of occurrence for that data in a given month; to enable the review and printing of data from the historical database.

[0034] The statistical methods include: statistical analysis and calculation of real-time data to generate voltage qualification rate, daily / monthly / yearly maximum and minimum load values, load rate, and time-segmented cumulative values ​​of electrical energy, logical operation values ​​of digital input status quantities, and the number of normal / abnormal changes of equipment. It supports various calculations and combined calculations, such as addition, subtraction, multiplication, division, exponentiation, square root, and various logical operations, as well as conditional judgments.

[0035] The control method also includes an alarm system, specifically: when a switch or fault signal in the high-voltage distribution room changes position, the system issues an audible and voice alarm. Simultaneously, the system automatically displays the primary wiring diagram of the high-voltage distribution room, the corresponding switch flashes, and the alarm content is displayed in the alarm box at the bottom of the screen. The same alarms are activated when telemetry limits are exceeded, channels malfunction, or faults are recalled. An audible alert is given, the corresponding alarm event is recorded by a printer and saved to disk; all alarm records can be centrally displayed and printed randomly or at scheduled times, and historical alarm records for any given day can be queried and printed.

[0036] The control method is used in the sintering process of the ironmaking plant, and the communication management unit is used for regional data communication protocol conversion, data packet reception and transmission, and communication data instruction management.

[0037] This invention is applied to the sintering process in ironmaking plants, enabling refined and intelligent management of production energy consumption data. It also promotes overall basic work, energy saving management, and energy saving through technological upgrades in the sintering process, further advancing lean energy efficiency management, improving the core competitiveness of sintering production costs, and enabling real-time tracking and control of plant-wide data online, real-time monitoring, online analysis, and supervision of safe production. It also makes emergency response and reference more convenient. Attached Figure Description

[0038] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments:

[0039] Appendix Figure 1 This is a schematic diagram of the system architecture in an embodiment of the present invention (in the figure, power distribution rooms 1~n and PLCs 1~m can be a power distribution room or a PLC, or a combination of several power distribution rooms or PLCs in close proximity).

[0040] Appendix Figure 2 This is a schematic diagram of the data link connection in an embodiment of the present invention. Detailed Implementation

[0041] As shown in the figure, a dual-platform industrial production energy metering data management and control system includes a local server and a cloud server. It also includes a data link for connecting multiple high-voltage substations, power generation systems, and several sets of PLCs controlling production via fiber optic cables, network cables, RS-485 communication lines, communication processors, and network switches. The local server reads the energy data to be managed through the data link network, stores and integrates the data in a database, and provides it for local workstations to access. Simultaneously, the collected data is uploaded to the cloud server via a cloud router. The cloud server has independent database storage and processing functions, enabling remote data retrieval and monitoring via mobile terminals such as smartphones, tablets, or computers.

[0042] The energy data to be controlled is the operating data of power equipment, including current, voltage, temperature, flow rate, fault alarm, and real-time energy consumption instantaneous flow data of gas, steam, and compressed air. The power data is collected from the integrated protection device, multi-functional instrument, and wireless temperature measurement device in the high-voltage power distribution room, while the relevant energy data of gas, steam, and compressed air are collected from the primary automation control PLC in the production site. The data is then collected by the communication management unit and uploaded to the local server.

[0043] The local server is equipped with platform software for generating corresponding energy consumption monitoring data, statistical reports, and curve data. The energy consumption monitoring data, statistical reports, and curve data generated by the platform software are uploaded from the local server to the cloud server.

[0044] In the data link, multiple high-voltage power distribution rooms, power generation systems, and several sets of PLCs controlling production are connected via optical cables, network cables, 485 communication lines, communication processors, and network switches for network communication. Among them, the high-voltage power distribution room integrated protection device (including power generation data acquisition) and the primary automation control system PLC device at the production site are connected to the communication management unit via network cables to read the current, voltage, circuit breaker position, opening and closing status, fault information, gas, steam, and compressed air flow at the production site. The multi-functional instruments in the power distribution room are connected to the communication management unit via 485 interfaces, and the wireless temperature measurement system is connected to the communication management unit via 485 interfaces or network cables.

[0045] When the local server integrates the collected data, the specific content includes the compilation, data integration, data collection, and data display of the power distribution room comprehensive protection and power generation, multi-functional instruments, and wireless temperature measurement background monitoring screens; as well as the modeling, screen compilation, data integration, data collection, and data display of gas, steam, and compressed air related data.

[0046] When configuring the local server, the specific configuration content includes the installation of the background monitoring system, the database installation, the modification of permission settings, and the configuration related to the power and wireless temperature measurement parts, including the databases of each station, the remote signaling point table, the remote measurement point table, the remote pulse point table, and the design and compilation of the electricity consumption synthesis point; it also includes the design and compilation of energy data points for gas, steam, and compressed air.

[0047] The specific configuration details for publishing the collected data to the local workstation include:

[0048] A1. Compilation of monitoring screens for power distribution room integrated protection, power generation, multi-functional instruments, and wireless temperature measurement;

[0049] B1. Main screen settings, including sub-charts and function index; also includes electricity data collection and display, load distribution of each device, load curves, hourly, shift, daily, and monthly electricity consumption, peak and valley power generation bar charts, pie charts, data statistics display, and EXCEL report export.

[0050] C1. Statistical charts, including single cabinets, work groups, workshop areas, power distribution rooms, various production areas, and the entire production area. Alarm display scrolling window setup, screen number configuration, network topology diagram creation, power distribution room sub-diagram creation, and screen number configuration;

[0051] D1. Modeling of gas, steam, and compressed air flow rates, main screen settings, including sub-maps and function indexes;

[0052] Energy data acquisition and display for E1, gas, steam, and compressed air; flow distribution and flow curves at all levels; hourly, shift, daily, and monthly flow; data statistics and export to Excel reports; statistical charts including single cabinet, shift, workshop area, each sub-production area, and the entire production area; display of scrolling window compilation and screen point number configuration when an alarm occurs.

[0053] When configuring the cloud server, the specific configuration content includes the installation of the background monitoring system, the installation of the database, the modification of permission settings, and the configuration related to the power sector, including the databases of each station, the remote signaling point table, the remote measurement point table, the remote pulse point table, the design and compilation of the electricity consumption synthesis point, and the design and compilation of the energy data points for coal gas, steam, and compressed air.

[0054] Configuration for publishing data to mobile terminals includes:

[0055] A2. Compilation of monitoring screens for power distribution room integrated protection, power generation, multi-functional instruments, and wireless temperature measurement, including main screen settings, sub-maps, and function indexes;

[0056] B2. Electricity data collection and display, including load distribution of each device, load curve, hourly, shift, daily and monthly electricity consumption, peak and valley power generation bar charts, pie charts, data statistics display and EXCEL report export. The statistical charts include single cabinet, shift, workshop area, high voltage distribution room, first phase sintering area, second phase sintering area and the entire sintering area.

[0057] C2. Alarm display scrolling window setup, screen dot number configuration.

[0058] D2. Network topology diagram creation, sub-diagram creation for each high-voltage power distribution room, and configuration of screen point numbers;

[0059] Energy data display modeling for E2, gas, steam, and compressed air, including main screen settings, sub-charts, and function indexes. Gas, steam, and compressed air flow data acquisition and display, flow distribution at each level, flow curves, hourly, shift, daily, and monthly flow, data statistics display, and EXCEL report export. The statistical charts include single cabinet, shift, workshop area, various production areas, and the entire production area.

[0060] F2. Alarm display scrolling window setup, screen dot number configuration.

[0061] The workstations are located in the areas that require control, and the monitoring backend of each workstation includes system monitoring software and database software.

[0062] The monitoring backend has the function of setting alarm ranges for abnormal temperature, current, voltage, and flow values, which can be set by the on-duty personnel. When abnormal operating conditions of temperature, current, voltage, and flow values ​​occur, the monitoring backend pops up a message and sends it to the cloud platform, so that the cloud platform can push alarm information to the designated contact person in real time according to the corresponding information in the message.

[0063] The dual-platform industrial production energy metering data management and control method adopts a dual-platform industrial production energy metering data management and control system, including data processing methods and statistical methods.

[0064] Data processing methods include:

[0065] A3. A real-time database is used to perform reasonableness verification and upper / lower limit comparison on analog quantities, and real-time scanning of digital quantities is performed with a resolution ≤1ms. Events related to switch changes are recorded and alarms are output.

[0066] B3. Process and save important historical data to ensure that data is not lost during system restart;

[0067] C3. Data editing and management utilize a fully graphical interface;

[0068] D3. Utilize historical databases and files: Permanently store daily, monthly, and annual data, as well as alarm records (switch changes, data exceeding limits, protection alarms, channel events); perform daily and monthly searches of historical data to enable operations on the historical database; perform daily and monthly statistics on any data point, specifying the maximum, minimum, and time of occurrence for that data on that day, and the maximum, minimum, average, and time of occurrence for that data in a given month; to enable the review and printing of data from the historical database.

[0069] The statistical methods include: statistical analysis and calculation of real-time data to generate voltage qualification rate, daily / monthly / yearly maximum and minimum load values, load rate, and time-segmented cumulative values ​​of electrical energy, logical operation values ​​of digital input status quantities, and the number of normal / abnormal changes of equipment. It supports various calculations and combined calculations, such as addition, subtraction, multiplication, division, exponentiation, square root, and various logical operations, as well as conditional judgments.

[0070] The control method also includes an alarm system, specifically: when a switch or fault signal in the high-voltage distribution room changes position, the system issues an audible and voice alarm. Simultaneously, the system automatically displays the primary wiring diagram of the high-voltage distribution room, the corresponding switch flashes, and the alarm content is displayed in the alarm box at the bottom of the screen. The same alarms are activated when telemetry limits are exceeded, channels malfunction, or faults are recalled. An audible alert is given, the corresponding alarm event is recorded by a printer and saved to disk; all alarm records can be centrally displayed and printed randomly or at scheduled times, and historical alarm records for any given day can be queried and printed.

[0071] The control method is used in the sintering process of the ironmaking plant, and the communication management unit is used for regional data communication protocol conversion, data packet reception and transmission, and communication data instruction management.

[0072] Example:

[0073] This example is used in industrial production to integrate energy-related data such as electricity, gas, steam, compressed air, and generators to form a comprehensive energy data management and control system for the factory.

[0074] In this example, the factory's energy consumption includes electricity, gas, steam, oxygen, nitrogen, argon, compressed air, etc., and there may also be the factory's own power generation system. The electricity data can be read from the power acquisition instruments in the power distribution room, while the other energy consumption data are distributed in several sets of production automation control system PLCs. In this example, by combining local servers, workstations and cloud platform servers, it is possible to effectively collect, monitor and analyze this energy consumption data anytime and anywhere via computer or mobile phone through the factory's local area network or the Internet.

[0075] In this example, a local server and a cloud server are used to connect multiple high-voltage power distribution rooms, power generation systems, and several sets of PLCs controlling production via fiber optic cables, network cables, RS-485 communication lines, communication processors, and network switches. The local server reads the required energy data through the network, stores and integrates the data in its database, and then publishes monitoring screens and data. Power data is collected from the high-voltage power distribution room's integrated protection device, multi-functional instruments, and wireless temperature measurement devices. Energy data such as gas, steam, and compressed air are collected from the primary automation control PLCs at the production site. The communication management unit completes the data acquisition and uploads it to the local server. The server consists of a local server and a cloud server. The local server handles database storage and integration, providing data retrieval for local workstations, and simultaneously uploads the collected data to the cloud server via a cloud router. The cloud server has independent database storage and processing capabilities, enabling remote data retrieval and monitoring via mobile terminals such as smartphones and tablets, or computers. The system can collect real-time energy consumption data such as power equipment operation data (current, voltage, temperature, flow rate, fault alarm, etc.), gas, steam, and compressed air flow rate, and then generate corresponding energy consumption monitoring, statistical reports, and curves through the newly developed server platform software.

[0076] like Figure 1 As shown, corresponding hardware facilities are configured in the power distribution room, management room, and monitoring room, and communication channels and links are established to form a complete hardware system.

[0077] Related data collection, processing, and dissemination, such as Figure 2 As shown:

[0078] The communication method between the integrated protection device and the PLC is as follows: the integrated protection device (including power generation data acquisition) in the power distribution room and the PLC device of the basic automation control system are connected to the communication management unit through a network cable to read current, voltage, circuit breaker position, opening and closing status, fault information, gas, steam, compressed air flow, etc.

[0079] In this example, the multi-functional instrument in the power distribution room is connected to the communication management unit via a 485 interface for communication in the network communication of the multi-functional instrument.

[0080] In this example, when the wireless temperature measurement system is networking, the wireless temperature measurement system connects to the communication management unit via a 485 interface or a network cable.

[0081] In this example, the data collection, integration, and release process includes the creation, integration, data acquisition, and display of monitoring screens for the power distribution room's integrated protection system, power generation, multi-functional instruments, and wireless temperature measurement; and the modeling, design, screen creation, data integration, data acquisition, and display of gas, steam, and compressed air.

[0082] This example demonstrates the following local server configuration steps: installation of the backend monitoring system and database, modification of permission settings. For the power and wireless temperature measurement components, the design and compilation of databases for each station, remote signaling point tables, remote telemetry point tables, remote pulse point tables, and electricity consumption aggregation point design are also included. Furthermore, the design and compilation of energy data points for gas, steam, and compressed air are also relevant.

[0083] The system includes the creation of integrated protection panels for the power distribution room, as well as monitoring screens for power generation, multi-functional instruments, and wireless temperature measurement. The main screen setup includes sub-charts and function indexes. It also includes power consumption data acquisition and display, showing load distribution and load curves for each device, hourly, shift, daily, and monthly power consumption, peak and off-peak power generation bar charts and pie charts, data statistics, and export of Excel reports. These statistical charts cover single cabinets, work groups, workshop areas, power distribution rooms, individual production areas, and the entire production area. The system also includes alarm display scrolling windows, screen number configuration, network topology diagram creation, and sub-charts for each power distribution room, along with screen number configuration.

[0084] The system includes modeling of flow rates for gas, steam, and compressed air, main screen settings, sub-charts, and function indexes. It collects and displays energy data for gas, steam, and compressed air, showing flow distribution at each level, flow curves, hourly, shift, daily, and monthly flow rates, statistical data display, and export to Excel reports. These statistical charts include those for single cabinets, shifts, workshop areas, individual production areas, and the entire production area. An alarm display scrolling window is also included, with screen point numbering configured.

[0085] This example demonstrates the cloud server configuration process as follows: installation of the backend monitoring system and database, modification of permission settings. For the power sector, the design and compilation of databases for each station, remote signaling point tables, telemetry point tables, remote pulse point tables, and electricity consumption aggregation point locations are included. The design and compilation of energy data points for gas, steam, and compressed air are also required.

[0086] The system includes the compilation of integrated protection panels for the power distribution room, as well as monitoring screens for power generation, multi-functional instruments, and wireless temperature measurement. The main screen setup includes sub-maps and function indexes. It also includes power consumption data acquisition and display, showing load distribution and load curves for each device, hourly, shift, daily, and monthly power consumption, peak and off-peak power generation bar charts and pie charts, data statistics, and export of Excel reports. These statistical charts cover single cabinets, work groups, workshop areas, high-voltage power distribution rooms, Phase I sintering areas, Phase II sintering areas, and the entire sintering area. The system also includes alarm display scrolling window compilation, screen point number configuration, network topology diagram creation, and sub-maps for each high-voltage power distribution room, along with screen point number configuration.

[0087] The system includes modeling of energy data displays for gas, steam, and compressed air, with main screen settings including sub-charts and function indexes. It collects and displays gas, steam, and compressed air flow data, showing flow distribution at each level, flow curves, hourly, shift, daily, and monthly flow rates, statistical data display, and export to Excel reports. These statistical charts include those for single cabinets, shifts, workshop areas, individual production areas, and the entire production area. An alarm display scrolling window is also included, with screen point numbering configured.

[0088] In this example, when configuring the workstation backend, workstations are set up in the required areas according to work needs, and the backend system monitoring software and database software of each workstation are installed and configured.

[0089] The monitoring backend has the function of setting alarm ranges for abnormal temperature, current, voltage, and flow values, which is convenient for on-duty personnel to set. When the temperature, current, voltage, and flow values ​​are abnormal, a message pops up in the backend, and the cloud platform can push the alarm information to the designated contact person in real time.

[0090] In this example, the display and management of wireless temperature measurement data in the power distribution room are compiled on both the local platform and the cloud platform.

[0091] In this example, the specific functions of the backend system include:

[0092] Data acquisition and processing: data statistics and calculation, historical data processing, screen display, recording function, sequence of events (SOE), alarm handling, operation management function, and interface with other devices / systems.

[0093] Data acquisition function: The system can acquire analog quantities, switch quantities and flow rates in real time. All power quantities are sampled using AC. Historical data is automatically transferred to the hard disk according to the set time interval.

[0094] Data processing functions specifically include: Real-time database: performing reasonableness verification and upper / lower limit comparison for analog quantities. Real-time scanning of switch quantities with a resolution ≤1ms; recording events and outputting alarms for switch changes; processing and saving important historical data. Data is not lost during system restarts. Editing and management are performed through a fully graphical interface. Historical database and historical files: permanently saving daily, monthly, and annual data, as well as alarm records (switch changes, data exceeding limits, protection alarms, channel events); daily and monthly retrieval of historical data; operation on historical database data; daily and monthly statistics for any data, specifying the maximum, minimum, and time of occurrence for that data on that day, and the maximum, minimum, average, and time of occurrence for that data in a certain month; and the ability to review and print historical database data.

[0095] Statistical calculations specifically involve: performing statistics, analysis, and calculations on real-time data to generate voltage qualification rates, daily / monthly / yearly maximum and minimum load values, load rates, cumulative electrical energy values ​​by time period, logical operation values ​​of digital input status quantities, and the number of normal / abnormal equipment changes. It supports various calculations and combined calculations, such as addition, subtraction, multiplication, division, exponentiation, square root, and various logical operations, as well as conditional judgments.

[0096] The human-computer interface in this example is as follows:

[0097] Graphical display function: Displays the main wiring diagram, floor plan, equipment inspection route diagram, and system configuration diagram, which can be scrolled up and down, left and right, and zoomed in and out. The main wiring diagram displays the real-time operating status of each circuit breaker and its online operating parameters, such as voltage, current, power, and frequency. Additionally, it includes a bar chart display function, which allows for visual observation of changes in real-time telemetry data through bar charts (planar or 3D graphics).

[0098] Incident display: status variable changes, analog quantity exceeding limits, communication status; graphs, meter charts, trend charts, and tabular data, etc. Historical event and data query: Historical events include alarm events (events triggered by limit exceeding alarms), operation events (host remote control operations, etc.), and general events (communication failures, etc.). Historical event query displays the date and time, event content, and the limit exceeding value is also included in the limit exceeding event content.

[0099] In this example, the alarm information includes several types: voice alarm, sound alarm, and alarm screen. Users can configure online to use a single alarm function or multiple alarms simultaneously. When a switch or fault signal in the high-voltage distribution room changes position, the system issues an alarm sound and voice alert. Simultaneously, the system automatically displays the primary wiring diagram of the high-voltage distribution room, the corresponding switch flashes, and the alarm content is displayed in the alarm box at the bottom of the screen. The same alarms are triggered for telemetry limit violations, channel faults, and accident replays. An audible alert is provided, the corresponding alarm event is recorded by printer and saved to disk; all alarm records can be centrally displayed and printed randomly or at scheduled times. Historical alarm records for any given day can be queried and printed.

[0100] In this example, the creation and editing of the main wiring diagram and daily reports include:

[0101] The displayed graphics can be scaled up and down in multiple levels, showing both panoramic views and detailed views. When zooming in or out on the graphics, the appropriate plane display can be selected according to the scale.

[0102] Chart editing function: The system provides chart editing tools, and all graphs and reports can be edited online.

[0103] The security strategy in this example is as follows: group users, set different permissions, and log in using usernames and passwords.

[0104] The maintenance functions in this example are as follows: all modifications can be made online, with a fully graphical and Chinese-language interface. It includes online editing functions for various types of screen reports, online modification functions for database content, and online setting and status modification functions for operating parameters and limits.

[0105] In this example, the system features event sequence recording, display, and printing; communication fault monitoring and anomaly alarms; and communication message display, printing, and storage. The system is secure, stable, and reliable, with a user-friendly interface that is easy to learn and use. It boasts excellent scalability; adding hardware devices does not require software modifications. The system provides interfaces to various other systems, allowing it to receive data via browsing or forwarding.

[0106] The main screen and reporting software system in this example includes the following functions:

[0107] Table and curve display functions: Display equipment ledger, main equipment parameter table, and relay protection setting table.

[0108] Analog quantity display (telemetry information table): includes the meaning of each analog quantity, the corresponding switch number and real-time measurement data (voltage, current, active power, reactive power, frequency, power factor, active energy, reactive energy, flow rate, etc.).

[0109] Switch quantity display: Includes the meaning of the switch quantity, the corresponding switch number, and the current status of the switch quantity. It can also query and display: the average, maximum, and minimum values ​​of each measured quantity; and the load curves for current, voltage, and power.

[0110] In this example, the following content is included when developing cloud platform data monitoring and establishing the overall network architecture:

[0111] The development of cloud platform software systems and operating systems, intelligent power monitoring software, graphical display software, real-time databases, historical databases, data analysis software, and alarm software.

[0112] The software includes: application software (local computer monitoring system), operating system, graphics display software, printing and tabulation software, internal network communication software, real-time database, historical database, drawing software, and interface communication software with protection and intelligent devices. Users can use the system's functions to define data and dynamic data of various datasets, as well as various dynamic characters and Chinese characters on the screen. It provides the following vector character, Chinese character table, and graphics generation programs. Background images and static data are stored on the workstation, which can independently perform online editing, modification, and retrieval of the screen. The screen generation and modification program provides drawing tools, enabling online, convenient, and intuitive generation and modification of images on the screen, and direct definition of dynamic points (including dynamic Chinese characters) on the screen. The print report generation and modification program enables online, convenient, and intuitive generation and modification of print reports on the screen, and direct definition of dynamic points and dynamic Chinese characters. The report width can be the maximum width of the printer.

Claims

1. A dual-platform industrial production energy metering data management and control system, characterized in that: The system includes a local server and a cloud server, as well as a data link for networking communication between several sets of PLCs used in high-voltage power distribution rooms, power generation systems, and production control. The local server reads the energy data to be managed through the data link network, stores and integrates the data in a database, and provides it for local workstations to access. At the same time, it uploads the collected data to the cloud server. The cloud server has independent database storage and processing functions, which are used to enable remote data retrieval and monitoring via mobile terminals or computers.

2. The dual-platform industrial production energy metering data management and control system according to claim 1, characterized in that: The energy data to be controlled is the operating data of power equipment, including current, voltage, temperature, flow rate, fault alarm, and real-time energy consumption instantaneous flow data of gas, steam, and compressed air. The power data is collected from the integrated protection device, multi-functional instrument, and wireless temperature measurement device in the high-voltage power distribution room, while the relevant energy data of gas, steam, and compressed air are collected from the primary automation control PLC in the production site. The data is then collected by the communication management unit and uploaded to the local server. The local server is equipped with platform software for generating corresponding energy consumption monitoring data, statistical reports, and curve data. The energy consumption monitoring data, statistical reports, and curve data generated by the platform software are uploaded from the local server to the cloud server.

3. The dual-platform industrial production energy metering data management and control system according to claim 2, characterized in that: In the data link, multiple high-voltage power distribution rooms, power generation systems, and several sets of PLCs controlling production are connected via optical cables, network cables, 485 communication lines, communication processors, and network switches for network communication. Among them, the high-voltage power distribution room integrated protection device and the primary automation control system PLC device at the production site are connected to the communication management unit via network cables to read the current, voltage, circuit breaker position, opening and closing status, fault information, gas, steam, and compressed air flow at the production site. The multi-functional instruments in the power distribution room are connected to the communication management unit via 485 interfaces, and the wireless temperature measurement system is connected to the communication management unit via 485 interfaces or network cables.

4. The dual-platform industrial production energy metering data management and control system according to claim 2, characterized in that: When the local server integrates the collected data, the specific content includes the compilation, data integration, data collection, and data display of the power distribution room comprehensive protection and power generation, multi-functional instruments, and wireless temperature measurement background monitoring screens; as well as the modeling, screen compilation, data integration, data collection, and data display of gas, steam, and compressed air related data.

5. The dual-platform industrial production energy metering data management and control system according to claim 4, characterized in that: When configuring the local server, the specific configuration content includes the installation of the background monitoring system, the database installation, the modification of permission settings, and the configuration related to the power and wireless temperature measurement parts, including the databases of each station, the remote signaling point table, the remote measurement point table, the remote pulse point table, and the design and compilation of the electricity consumption synthesis point; it also includes the design and compilation of energy data points for gas, steam, and compressed air. The specific configuration details for publishing the collected data to the local workstation include: A1. Compilation of monitoring screens for power distribution room integrated protection, power generation, multi-functional instruments, and wireless temperature measurement; B1. Main screen settings, including sub-charts and function index; also includes electricity data collection and display, load distribution of each device, load curves, hourly, shift, daily, and monthly electricity consumption, peak and valley power generation bar charts, pie charts, data statistics display, and EXCEL report export. C1. Statistical charts, including single cabinets, work groups, workshop areas, power distribution rooms, various production areas, and the entire production area. Alarm display scrolling window setup, screen number configuration, network topology diagram creation, power distribution room sub-diagram creation, and screen number configuration; D1. Modeling of gas, steam, and compressed air flow rates, main screen settings, including sub-maps and function indexes; Energy data acquisition and display for E1, gas, steam, and compressed air; flow distribution and flow curves at all levels; hourly, shift, daily, and monthly flow; data statistics and export to Excel reports; statistical charts including single cabinet, shift, workshop area, each sub-production area, and the entire production area; display of scrolling window compilation and screen point number configuration when an alarm occurs.

6. The dual-platform industrial production energy metering data management and control system according to claim 5, characterized in that: When configuring the cloud server, the specific configuration content includes the installation of the background monitoring system, the installation of the database, the modification of permission settings, and the configuration related to the power sector, including the databases of each station, the remote signaling point table, the remote measurement point table, the remote pulse point table, the design and compilation of the electricity consumption synthesis point, and the design and compilation of the energy data points for coal gas, steam, and compressed air. Configuration for publishing data to mobile terminals includes: A2. Compilation of monitoring screens for power distribution room integrated protection, power generation, multi-functional instruments, and wireless temperature measurement, including main screen settings, sub-maps, and function indexes; B2. Electricity data collection and display, including load distribution of each device, load curve, hourly, shift, daily and monthly electricity consumption, peak and valley power generation bar charts, pie charts, data statistics display and EXCEL report export. The statistical charts include single cabinet, shift, workshop area, high voltage distribution room, first phase sintering area, second phase sintering area and the entire sintering area. C2. Alarm display scrolling window setup, screen dot number configuration. D2. Network topology diagram creation, sub-diagram creation for each high-voltage power distribution room, and configuration of screen point numbers; Energy data display modeling for E2, gas, steam, and compressed air, including main screen settings, sub-charts, and function indexes. Gas, steam, and compressed air flow data acquisition and display, flow distribution at each level, flow curves, hourly, shift, daily, and monthly flow, data statistics display, and EXCEL report export. The statistical charts include single cabinet, shift, workshop area, various production areas, and the entire production area. F2. Alarm display scrolling window setup, screen dot number configuration.

7. The dual-platform industrial production energy metering data management and control system according to claim 6, characterized in that: The workstations are located in the areas that require control, and the monitoring backend of each workstation includes system monitoring software and database software. The monitoring backend has the function of setting alarm ranges for abnormal temperature, current, voltage, and flow values, which can be set by the on-duty personnel. When abnormal operating conditions of temperature, current, voltage, and flow values ​​occur, the monitoring backend pops up a message and sends it to the cloud platform, so that the cloud platform can push alarm information to the designated contact person in real time according to the corresponding information in the message.

8. A method for managing and controlling energy metering data in industrial production on dual platforms, employing the dual-platform industrial production energy metering data management and control system as described in claim 7, characterized in that: The control methods include data processing methods and statistical methods; Data processing methods include: A3. A real-time database is used to perform reasonableness verification and upper / lower limit comparison on analog quantities, and real-time scanning of digital quantities is performed with a resolution ≤1ms. Events related to switch changes are recorded and alarms are output. B3. Process and save important historical data to ensure that data is not lost during system restart; C3. Data editing and management utilize a fully graphical interface; D3. Utilize historical databases and files: Permanently store daily, monthly, and annual report data, as well as alarm record data; perform daily and monthly searches of historical data to enable operations on the historical database; perform daily and monthly statistics on any data point, specifying the maximum, minimum, and time of occurrence for that data on that day, and the maximum, minimum, average, and time of occurrence for that data in a given month; to enable the review and printing of data from the historical database. Statistical methods include: statistical analysis and calculation of real-time data to generate voltage qualification rate, daily / monthly / yearly maximum and minimum load values, load rate, time-segmented cumulative values ​​of electrical energy, logical operation values ​​of digital input status quantities, and the number of normal / abnormal equipment changes.

9. The dual-platform industrial production energy metering data management and control method according to claim 8, characterized in that: The control method also includes an alarm method, specifically: when the high-voltage distribution room switch or the fault signal changes position, the system issues an alarm sound and a voice alarm; the same alarms are activated when telemetry exceeds limits, channel faults occur, or accidents are recalled.

10. The dual-platform industrial production energy metering data management and control method according to claim 9, characterized in that: The control method is used in the sintering process of the ironmaking plant, and the communication management unit is used for regional data communication protocol conversion, data packet reception and transmission, and communication data instruction management.

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