Analysis of Smart Heating Network System, Recharge Management for Self owned Power Plants, Introduction to Steam Charging Software

Description :

Qingdao Hesheng Smart Heating Network Heating User Management: 1. Basic information management of heating users, including user name, number, person, method, pipe diameter and wall thickness, metering equipment form (vortex street, orifice plate, etc.), declared steam consumption, commonly used steam consumption, etc. 2. Analyze the proportion of key users in branch lines, main lines, and overall thermal users, and provide scheduling optimization suggestions based on historical data and other factors to assess the impact of key user start stop on corresponding pipeline parameters. 3. Analysis report on peak and valley flow of hot users, statistics on load situation, and analysis to assist in formulating business plans. 4. Comparative analysis of temperature, pressure, and flow curves of thermal users with similar pipelines and diameters to assist in identifying pipeline anomalies.

　　fiveAnalysis of Smart Heating Network SystemThe GPRS remote meter reading system is a management system that integrates microcomputer technology, network technology, communication technology, and automatic measurement technology. The open database design supports user-defined monitoring station expansion and monitoring sensor expansion. Adapting to the continuous development needs of enterprises, with the continuous development of urban construction and the expansion of supply areas such as hot water, steam, tap water, and gas, traditional manual meter reading methods can no longer meet the requirements of enterprises for cost recovery, instrument operation status, and the construction of digital management technology platforms

　　Qingdao Zhiyuan Instrument Prepaid Calculator complies with the JJG1003-2016 standard and meets the trade settlement requirements of the new metering regulations for integrated calculators.

　　A. Instrument model EF-II/TCP, LCD display screen.

　　B. The instrument has an accuracy of ± 0.2% and is capable of outputting 4-20mA analog signal current (output category can be freely defined).

　　C. The function of intelligent accumulation instrument is to measure pressure, temperature, instantaneous flow rate, cumulative flow rate, frequency, differential pressure, steam balance, power outage frequency, power outage and incoming call time, daily cumulative monthly cumulative query, etc. It is programmable and can set parameters according to actual needs;

　　D. Multiple cumulative methods (lower limit flow, over flow), cumulative coefficient (percentage) can be set. It can be set that when the flow rate is less than a certain percentage of the range (such as 10%), the lower limit flow rate will be accumulated according to this fixed value. It can also be set that when the flow rate is greater than a certain percentage of the range (such as 110%), the excess flow rate will be accumulated according to the set multiplier, thus solving the problem of low flow rate in small flow and excess flow measurement and meeting the actual needs of heat network calculation.

　　Qingdao Hesheng Zhiyuan Automation System Co., LtdAnalysis of Smart Heating Network System, Recharge Management for Self owned Power Plants, Introduction to Steam Charging SoftwareMeaning: In the context of vigorously building a smart city and promoting the development of "Internet plus" smart energy, the concept of smart heating came into being as an important branch of the energy industry. existingVortex metering terminalThere are still some issues during operation, such as insufficient remote points, relatively outdated control technology, high energy consumption, and low energy metering. Urban heating belongs to the main content of energy conservation and emission reduction. The development of contemporary heating systems must effectively combine traditional engineering with modern data science and technology, and improve the effectiveness of energy efficiency management by predicting the operation status of the heating network. The design of heating systems is often driven by demand, and predicting the demand for heat load on the consumer side plays a crucial role in improving the overall efficiency of the heating network operation.

Analysis of Smart Heating Network System, Recharge Management for Self owned Power Plants, Introduction to Steam Charging SoftwareIt combines computer technology, sensor technology, data communication technology, and incorporates prepaid management functions. This prepaid management system is mainly used for monitoring and managing the metering systems of various heat users in industrial parks. It uses the GPRS wireless network platform to send the parameters of each heat network user in the park to the data database on the heat network server in the heat network center through secondary instruments and wireless measurement and control communication modules. And through software, real-time monitoring of user data in the heating network is carried out, with functions such as reporting reminders, trend recording, report statistical analysis, remote recharging, and real-time control of remote electric valves for overdue payments. It assists heating network dispatch and maintenance personnel in ensuring the safety, stability, and energy-saving operation of the heating network, which is a basic prepaid system for remote meter reading in the heating network. The remote demonstration function of the sewage prepayment system data allows the system to establish sub centers at any location except for the main dispatch center, which can be connected to the main center through GPRS network to facilitate user management and use. The IC card prepayment flowmeter solves the above problems for gas companies, and due to recharging before using gas, gas supply companies can obtain liquidity in advance, which can be used for investment or deposit interest, etc., all of which have generated good economic benefits for enterprises

　　Qingdao Hesheng Zhiyuan Automation System Co., Ltd

　　189 Hui Xin 5483 Same number 1481

　　Q：3438-5007-67

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• Analysis of Smart Heating Network System