Integrated solution for intelligent power monitoring and energy consumption monitoring of Sinopec

A gas station is a specialized business premises for filling gasoline and diesel fuel tanks for motor vehicles. It is a key safety prevention unit with frequent personnel and vehicle movements, and is a first-class fire prevention unit. Fires caused by inadequate fire prevention measures are common.

The existing gas station safety control mainly adopts regular inspections and video surveillance methods. The regular inspection intervals are long, making it difficult to grasp the effectiveness and real-time status of various equipment and safety protection measures at gas stations. Video surveillance has weak control over safety protection within the station, lacking the ability to record and analyze fault data, as well as the ability to identify hidden dangers and alarms.

In addition, the energy consumption of gas station equipment and the status of fire-fighting facilities have been in an unknown state for a long time, which significantly weakens the self safety protection ability of gas stations.

Aiming at the current management status of various gas stations in Sinopec, it is proposed to adopt an integrated control system of intelligent power monitoring and energy consumption monitoring. The system has complete electrical safety control, intelligent energy-saving management, power quality management, arc monitoring and control, dielectric loss, leakage current and insulation monitoring, fault alarm and recording management, comprehensive energy efficiency management (including energy-saving measures management, energy-saving effect evaluation, etc.), fire protection, access control and video supervision, anti-static grounding measures evaluation, lightning protection safety measures effectiveness and other functions. It can achieve comprehensive fault warning and emergency protection functions in the station

3.1 Overview of Hardware Engineering:

The construction project plan aims to add complete electrical monitoring and control equipment and management backend to the entire electrical system, while integrating fire safety control and resource safety control into the system. The main hardware works are as follows:

1) Install energy-saving energy storage devices (energy storage batteries, corresponding control devices) inside the station

2) Install intelligent power factor compensation device for inductive loads inside the station

3) Install transformers on the power supply voltage and load current lines of the station's electrical power supply system

4) Install temperature sensors on important nodes of electrical loads within the station

5) Install leakage current transformers on the grounding lines of the on-site power supply system

6) Install voltage transformers and leakage current transformers (including anti-static and lightning protection equipment such as oil tanks and fuel dispensers) at various points of the grounding network inside the station

7) Install smoke sensing devices at important spatial points within the station

3.2 Overview of Software Engineering

The backend includes the following complete functions:

1) Energy saving management (station end)

2) Energy Efficiency Assessment (Station End)

3) Energy Efficiency Analysis (Main Station)

4) Alarm and fault recording

5) Power Quality Management

6) Intelligent device management

7) Monitoring and protection of electrical networks (arc light, dielectric loss, insulation)

8) Monitoring and evaluation of the effectiveness of anti-static measures

9) Monitoring and evaluation of lightning protection measures effectiveness

10) Fire and access control monitoring and evaluation

11) Electrical equipment status assessment and prediction

12) Accident prediction and prevention management

3.3 Principles of Energy Efficiency Management

The system calculates the real-time electricity usage data of sub loads through bus voltage and branch current data, and calculates detailed energy consumption such as electricity consumption, active power, reactive power, etc.

*By calculating sub item energy consumption through electrical data, there is no need to install an energy meter or perform tedious meter reading work.

*Abnormal electricity consumption alarm, analyze whether the equipment is faulty or there are issues with abnormal electricity consumption in the power supply line.

*By analyzing the power consumption of similar devices, we can identify which ones are more efficient and energy-efficient, providing important reference for equipment procurement.

*By analyzing the relationship between business and electricity consumption, provide detailed decision-making data for energy conservation and consumption reduction.

*Evaluate the effectiveness of energy-saving measures and provide decision-making for large-scale promotion and application in the later stage.

Sub item collection and calculation

Main station system architecture

The system has complete electrical safety status maintenance functions, and can also be connected to fire equipment control and video monitoring systems. After the completion of this renovation work, it is expected to achieve the following effects:

4.1 Energy saving management

The recommended energy-saving methods for the system include peak shaving and valley filling energy-saving management, power compensation energy-saving management, natural energy generation grid connected energy-saving management, and system intelligent energy-saving promotion (including intelligent state control and intelligent automatic control). Based on the energy consumption structure of gas stations, this system recommends using peak shaving and valley filling, power compensation, intelligent state control, and intelligent automatic control for energy-saving management. Each site conducts energy-saving management and energy efficiency evaluation on their own site, and uploads data to the main site for storage, comprehensive analysis, and report statistics.

4.2 Energy Efficiency Assessment

Each station shall analyze and summarize the details of energy conservation and consumption reduction within its own station, as well as the details of energy consumption data, scientifically evaluate its energy conservation and consumption reduction measures, analyze the current energy efficiency and consumption reduction potential of the station, analyze energy consumption anomalies and alarms, conduct equipment status analysis based on abnormal energy consumption information, and generate energy efficiency evaluation reports by integrating various types of information.

Energy efficiency evaluation includes energy consumption analysis of the total load and important equipment load of the site, equipment energy efficiency analysis, and evaluation reports. Analysis models can be added according to user needs, and various comprehensive analysis reports and statistical functions can be added.

4.3 Energy Efficiency Analysis of the Main Station

Each station sends local data to the main station server through 4G modem, and the main station comprehensively analyzes and manages the energy consumption and energy saving data of each station, which can achieve comprehensive energy consumption analysis of the entire station, including comprehensive energy consumption analysis (year-on-year, month on month, comprehensive comparison query, energy consumption details, energy consumption ranking), comprehensive cost analysis (expense receipts, electricity fee information, electricity fee anomalies, electricity fee comprehensive query), and energy saving renovation analysis (effect evaluation, energy saving analysis, energy saving report)

4.4 Fault analysis and alarm management

Alarm analysis: Real time online monitoring and analysis of all general electrical quantities in the entire station. Alarm thresholds can be set for each monitoring measurement, and the system will issue alarms based on the alarm thresholds. At the same time, alarm information generated by equipment analysis, energy consumption management, fault prediction, etc. will also automatically pop up through alarm boxes.

Fault analysis: It is possible to set and edit fault trigger recording conditions. When the trigger conditions are met (usually during a fault), a transient data waveform file is automatically generated, which can be downloaded and viewed for waveform analysis, offline analysis, etc.

Long term data: The system has a long wave recording function, which can view transient data at any time in the near future, analyze non triggered accident characteristics, enrich accident models, and compensate for the shortcomings of unexpected fault recording failures.

Fault modeling: Conduct transient characteristic analysis and modeling on the fault data of the entire station, and summarize comprehensive information such as accident occurrence characteristics, cause analysis, handling measures, and handling suggestions to form a complete accident analysis report.

Safety assessment: Evaluate the electrical safety management of the entire station and have complete report output and report organization functions.

4.5 Power Quality Management

It has the function of real-time analysis of the power quality of each device, and can view the current power quality data of each station and load anytime and anywhere. Record and store historical data of power supply for each device, draw power quality data curves, and visually view the quality of power.

Evaluate the quality of current power supply based on the electrical requirements of key equipment such as gas dispensers and air conditioners, as well as the current power supply standards. Including comparative analysis between current power supply standard data and actual energy data, as well as summary and evaluation of energy events.

4.6 Intelligent Device Management

Classify electrical equipment according to equipment type for status analysis, including equipment operation time, degree of wear and tear, expected time life, expected mechanical life, current status, key attention suggestions, etc.

Through real-time analysis of device data, data moderation analysis, and data outlier analysis methods, combined with horizontal comparison of data from similar devices and vertical comparison of data from the same device, devices with abnormal data are identified.

Summarize and analyze the status, replacement, accident warning, maintenance, and other situations of all equipment in the station for this month/year, summarize the effects of the renovated functions (equipment sub item management, equipment accident warning, etc.), and compare them with the data before the renovation.

4.7 Monitoring and Protection of Electrical Networks (Arc Light, Dielectric Loss, Leakage Current, Insulation)

Real time monitoring and data analysis of arc phenomena, dielectric losses, and insulation performance in the power supply system, real-time detection of arc sites in the line, and recording of transient data of the line at the time of arc occurrence to form waveform report files, establishing an electrical fault data model.

Locate the arc phenomenon, comprehensively analyze the frequency, duration, and location of arc occurrence, extract electrical safety anomalies such as line edge damage precursors and electrical equipment insulation damage precursors, and issue warnings.

Real time monitoring of electrical network dielectric loss, leakage current, and insulation condition, sensitive identification of insulation performance degradation or warning information, and real-time alarm.

4.8 Monitoring and evaluation of the effectiveness of anti-static measures

Real time monitoring of oil tanks, unloading points, refueling machine oil guns, and rubber hose grounding lines, evaluation of grounding reliability, and alerting for grounding abnormalities.

4.9 Monitoring and evaluation of lightning protection measures effectiveness

Real time monitoring of the grounding status of shelters, business rooms, and oil tank respirators, real-time analysis of grounding resistance, evaluation of grounding status, and high-value alarm of grounding resistance. Connect to the thunderstorm weather warning system. During thunderstorm weather, the power will be automatically cut off and business is strictly prohibited.

4.10 Fire and access control monitoring and evaluation

Real time monitoring of smoke status at various distribution points within the station, identification and alarm of smoke status, and alarm or protective measures based on the sensitivity of smoke status location to prevent the expansion of fire accidents.

Real time monitoring and abnormal status alarm of equipment and room doors within the station.

Real time monitoring and alerting of oil tank leakage status.

Can be connected to video surveillance.

4.12 Accident prediction and prevention management

By integrating various monitoring data and functional module information, a safety accident prediction model is extracted to predict faults in equipment, lines, etc. in advance, ensuring sufficient time for hazard handling and preventing accidents from occurring.

Real time monitoring of the temperature of important load line nodes, real-time analysis of temperature changes, timely detection of abnormal temperature rise and alarm, strict monitoring and timely alarm of overload phenomena, and forced cutting off of severe overload phenomena.