Remote control system for rainwater harvesting online monitoring system

The water treatment control system combines water quality detection technology, water treatment control technology, frequency conversion energy-saving technology, comprehensive automation system, computer network technology and the production process of water plants, realizing full-process automatic control such as filter automation, dosing automation, pump station automation, water quality detection automation and information collection of on-site data. It is connected to the water plant monitoring center through the network, realizing "data collection, decentralized control, centralized monitoring and unified management", and ensuring the safe and efficient operation of the water plant.

●Remote monitoring and management

The water treatment control system collects, transmits, stores and preliminarily processes the operation data of each sewage treatment plant and pump station, enabling personnel at all levels of the enterprise to grasp the production and operation status at any time. It is more suitable for the remote supervision of subordinate project companies by group enterprises.

1) Automatically collect and store the operation data of online instruments and equipment in the enterprise's automatic control system in real time;

2) Real-time graphical display of enterprise production and operation status, which can be viewed remotely through the network;

3) Historical production and operation data can be quickly searched and viewed at any time;

4) Production and operation data can be visually compared through bar charts, pie charts, curve charts and other effects;

5) Automatically monitor all kinds of production and operation data, and give real-time alarms when abnormalities are found;

6) The alarm handling process and handling results can be tracked and recorded;

7) Historical alarm information can be queried, summarized and statistically analyzed;

8) Alarm handling plans can be compiled to provide references for alarm handling and improve handling efficiency;

●Production operation management

All kinds of information that need to be recorded during the production and operation process of water enterprises are digitized, and the classification, summary, calculation, export and other operations of these data are realized, which reduces repeated data filling, improves the degree of data sharing, greatly reduces the workload of personnel at all levels, and improves work efficiency. Combined with the years of report management experience of sewage treatment experts, a set of statistical analysis and reports that fully meet the management of water enterprises has been formulated and formed, making the enterprise's data statistical analysis and report generation more standardized and efficient. All kinds of recorded data can be automatically generated and exported to Excel, and managers at all levels can view them at any time according to their permissions, providing basic data support for guiding production process management.

1) Simple and intuitive data filling interface and presentation form, making data filling intuitive and convenient;

2) Complete report system covering all aspects of production and operation;

3) Flexible report configuration system, which can freely combine various basic data sets to form the required reports;

4) The calculation relationship between data can be flexibly configured to easily handle all kinds of complex calculation formulas;

5) Integrated office plug-in to realize online viewing of reports through the browser;

6) Flexible permission control, which can be refined to the filling, modification and viewing of specific data items;

7) Easily grasp all kinds of fluctuations of production and operation data through graphical comparative analysis;

8) It can be exported into Excel reports to easily realize data reporting;

●Equipment management

Based on the equipment ledger, taking the submission, review and execution of work orders as the main line, it tracks and manages the entire life cycle of equipment according to several possible modes such as fault maintenance, preventive maintenance, reliability-centered maintenance and condition-based maintenance. Modern information technology is used to improve the operation reliability and use value of equipment, reduce maintenance costs and repair costs, and ensure the production and operation of enterprises.

1) Complete equipment file management to accurately grasp all basic information of equipment;

2) Comprehensive equipment maintenance management. By establishing equipment lubrication, maintenance, overhaul, medium repair and minor repair plans, the system automatically generates equipment maintenance orders at the planned implementation time and submits them to the equipment maintenance department. This makes the equipment maintenance work well-organized and improves the service life of equipment;

3) Efficient equipment maintenance management. Through the standardized management of the whole process of equipment maintenance work orders from generation, processing to completion, equipment maintenance is timely, accurate and efficient;

4) Eye-catching maintenance information reminders, enabling equipment managers at all levels to accurately grasp equipment faults and maintenance situations;

5) Standardized spare parts management, making the outbound and inbound of spare parts more standardized, and the flow of spare parts clear and easy to check. The intelligent inventory monitoring mechanism gives early warning when the inventory is too low or the medicine expires;

6) Intelligent statistical analysis function, making the equipment availability, failure rate, maintenance cost and other information clear at a glance;

●Energy consumption cost management

Intelligently extract all kinds of production and operation data related to energy consumption costs, conduct statistical summary, and generate various energy consumption cost indicators in real time, making the management of energy consumption costs fast, accurate and efficient.

1) Rapid statistics and automatic generation of water consumption, electricity consumption and chemical consumption data;

2) Visual comparison of various indicators in graphical form, and intuitive display of energy consumption costs;

3) It can interact and call cost data with financial software;

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