2.1 Industry pain points

1. No energy consumption assessment index management system has been established, and the bottom employees do not care about energy consumption.

2. High energy consumption and high cost.

3. The energy consumption data reported manually is accurate and costly.

4. The energy consumption data is transmitted level by level and the real-time performance is poor.

5. Delayed statistics, unable to participate in scheduling adjustment in real time, resulting in high energy consumption unavoidable.

6. Without realizing electronic mobile office, corporate employees cannot view key data anytime and anywhere.

2.2 Construction goals

1. Energy saving and consumption reduction

Energy consumption is tracked in real time and adjusted in time to realize energy saving and consumption reduction and reduce costs.

2. Optimize enterprise management and formulate energy consumption assessment index system

Electronic management process, personnel follow the management system, and achieve performance appraisal.

3. Linkage between scheduling and energy consumption to achieve real-time energy saving adjustment

Energy consumption is calculated in real-time on the same day, and adjustments can be made in time to save energy.

4. Liberation of labor

Release the manpower that the company used to be responsible for making daily energy consumption reports and analyzing charts to do more meaningful things.

5. Leakage failure found

Loss of water analysis function, real-time analysis of site loss of water, can be aware of leakage accidents in advance.

2.3 System Architecture

Hardware configuration: Configure 2 servers, which are used as data acquisition/calculation engine server and database server. Deploy the KingFusion platform of Asia Control Technology.

Data flow: Real-time data related to energy consumption data is read from the KingSCADA acquisition server of the thermal company's dispatch system.

System background services realize data calculation, processing, and storage.

The user interface display uses the BS version of the client to read the analysis results from the database server and display them to the user.

Support mobile browser access, remote office.

3.1 Visual management of the cockpit

Set up the cockpit on the system homepage and display key management data in diversified graphics.

Current time, weather, area, number of online heat exchange stations, number of households on the Internet (10,000 households), and fee-charging building area (10,000 square meters);

Cumulative cost value of heat, water, and electricity, and total cumulative charge;

The total energy consumption and unit consumption of this heating season; blacklist of energy consumption, fines and rewards;

Reminders and scheduling adjustment suggestions for stations exceeding the standard on the day;

3.2 Develop an assessment plan

Develop evaluation plan indicators every year to associate employee KPIs with energy consumption. Through ranking and report results, combined with reward and punishment strategies, KPI indicators, the results of energy consumption rewards and punishments are given. Realize that every employee cares about energy consumption and use performance salary to motivate employees to save energy and reduce consumption.

At the beginning of each heating season, the online energy consumption plan is formulated and decomposed according to the management mode of the enterprise. Reduce workload and improve work efficiency and accuracy.

Classified according to different types of sites, determine energy consumption assessment indicators for each site.

3.3.1 Weather forecast and analysis

Meteorological data is the basic basis for heating dispatch. The system introduces meteorological information to command dispatch and as the basic basis for measuring heat consumption. In the meteorological data management, three functional modules are provided: meteorological status, meteorological forecast and meteorological data statistical analysis.

3.3.2 Statistical analysis of energy consumption

The energy consumption of all heat exchange stations is queried according to the granularity of day, week, month, and heating season. The unit consumption ranks TOP10 before and after. The planned heat consumption is compared with the actual heat consumption, and the savings and costs are inquired. Combine queries from different dimensions in time and space.

3.3.3 Real-time energy consumption TOP10 ranking

The heat, water, and electricity energy consumption of the same type of heat exchange stations will be ranked in the top 5 and bottom 5 of the day.

The manager knows the sites with high and low energy consumption at any time, understands the overall operation status, and provides a basis for decision-making.

3.3.4 Early warning of excessive heat consumption

The planning index of each site is broken down to every hour as the theoretical planning value. Convert the accumulated heat collected in real time into the same unit as the planned index for comparison. If it exceeds the limit, prompt it. The administrators corresponding to the sites are aware of the sites whose energy consumption exceeds the standard in time, and respond in time to achieve real-time energy saving.

3.3.5 Scheduling adjustment suggestions

Realize the linkage between dispatch and energy consumption system, energy consumption guide dispatch adjustment, and achieve real-time energy saving.

For sites with excessive heat consumption, the system analyzes the reasons for the exceeding, and based on the analyzed reasons, gives scheduling adjustment suggestions and pushes them to the corresponding administrator. The person in charge of each station makes adjustments and responses based on the suggested suggestions and the actual situation, supervises the implementation of the plan, and implements energy saving and consumption reduction.

3.3.6 Analysis of water loss in heat exchange station

Perform data analysis on the data collected by the water replenishment meter in a heat exchange station to determine the water loss of the station in a certain period of time. Judge whether the water replenishment volume exceeds the standard and whether the water loss of the station is within the allowable range, and it can be displayed through the water replenishment curve at the same time. For the person in charge of the site to analyze the leakage and water stealing of the pipe network. Anticipate leakage failures in advance.

3.4.1 Year-on-year analysis of heat exchange stations

The energy consumption of similar sites year-on-year and month-on-month. That is, in the same histogram, select a certain day to display the heat, water, and electricity consumption of that type of site on that day, which can be compared with yesterday and the same period last year.

Display in order of ranking. Assist managers to find problem sites with high energy consumption.

3.4.2 Energy consumption report

The system automatically generates energy consumption reports, heating year, month, and day granularity. Reports can be generated according to similar sites, or all types of sites, or can be selected according to the scope of management, such as a project department report.

Automatic report generation reduces the workload of employees and reduces labor costs.

3.4.3 Energy consumption cost analysis

The basic information of the system includes the unit prices of heat, water, and electricity, and settlement formulas. The system generates cost statistics reports to provide basis and reference for the production department. Real-time cost statistics help managers to grasp the heating cost and income in real time.

3.4.4 Analysis of Energy Consumption Trend of Single Station

Site energy consumption trend analysis helps administrators analyze a single site and locate problems. You can query the trend of outdoor temperature change, heat consumption, water consumption, power consumption, water consumption, electricity consumption, and heat consumption within a time period.

Based on this function, the person in charge of the site can verify the pros and cons of previous adjustments, and combined with weather forecasts, can provide a basis for future adjustments.

3.4.5 Section Super Analysis

According to historical energy consumption data, form daily, monthly, and heating season reports. It not only reflects the savings in water, electricity, and heat, but also reflects the cost value of the savings.

As the basis for energy consumption assessment, find the corresponding administrator and implement the assessment policy.

3.5.1 Monthly assessment

According to the water, electricity, and heat consumption of each station, the excess cost, the excess cost and the energy saving cost will be settled every month, and reward and punishment measures will be implemented to the specific responsible person.

Fines according to the cost exceeding the standard; reward the specific person in charge according to the energy saving cost

The appraisal system guides all employees of the company to care about energy conservation and truly take measures for energy conservation.

3.5.2 Assessment of heating season

At the end of each heating season, count the accumulated value of all stations in the entire heating season, deduct the previous monthly rewards or penalties, and conduct energy consumption assessments throughout the year based on the principle of more refunds and less compensation. It is also energy-saving rewards and penalties for exceeding standards.

3.7.1 Basic information entry

As a set of products, the system has maintainable functions. At the beginning of the launch, the back-end database was built to store the basic information of the year.

Support online maintenance. Authorized users can modify basic information online on the system interface, such as: heat exchange station area information, space attribution information, and heating type information.

3.7.2 Data correction

When there is a discrepancy between the data collected by the equipment and the actual data, or the change of the meter leads to a difference in the accumulated value, the system provides a modification window, and authorized staff can maintain the accuracy of the recorded data on the system interface.

Eliminate the error of statistical analysis results due to inaccurate data.

3.7.3 User Management

The system has user management functions. Users with authority can modify the information of the person in charge of each station online. When the employee's job position changes or rotates, it can be modified in the system. Ensure the accuracy of system analysis.

4.1 Maintainability

The system is highly maintainable. The system is built based on the concept of modeling, and subsequent sites are added without modifying the interface. Only the background maintenance is required to add basic site information and associate real-time data.

4.2 Openness

Developed based on a general configuration software platform, with multiple interfaces of the system Eliminate information islands, and can be interconnected with other third-party systems through database interfaces to achieve seamless connection of production and operation management data.

At the same time, the system provides standard interfaces for application systems outside the platform to access the data of the platform, which creates conditions for collaboration between different systems and protects users' investment.

4.3 Security

The system structure is flat, and the user's management authority and control authority can be flexibly set. Only authorized users can operate.

The security level is high, with hardware firewalls and servers each taking their own responsibilities. The comprehensive identity authentication system ensures the uninterrupted and safe operation of the system.

4.4 Scalability

The entire system is easy to expand and can meet the management needs of one data center and multiple sub-centers. Realize one point generation of information and multiple points of application.