A method defines and configures a hardware setup (2) of a fluid processing system. A user input is processed (103) at a client module (15). The user input includes a set of requirement data for the fluid processing system, The set of requirement data is received (105) at a server module (17) from the client module. The server module is connected to the client module via a network (11). The hardware setup of the fluid processing system is defined (107) by a setup module based on the set of requirement data and stored catalogue data. A configuration file (25) is generated (109) by a configuration module based on the hardware setup and the set of requirement data. The hardware setup is approved (113) by the client module. The configuration file is transferred (116) to a generic control module (29) of the hardware setup for configuring the fluid processing system.

A system and method for process control using multiple levels of control is disclosed. The system utilizes a first level of control which provides a dosing regimen based solely on volume. A second level uses predictive analysis or other such tools to predict a dosing regimen. A third level uses an array of small scale testing to test various dosing regimens to determine which one is optimal. If a disruption event occurs for the second or third level, or the system is off-line, the system reverts back to the first level control.

Systems and methods include a computer-implemented method for displaying future trends of evaporation pond wastewater quantity and quality. A distributed float network is managed using a wastewater evaporation pond management (WEPM) system with an embedded supervisory control and data acquisition (SCADA) system. The WEPM collects data, including sensory information, from evaporation ponds. A configuration data upload for remote terminal units (RTUs) managed by the WEPM is automated using the WEPM system and the embedded SCADA system. Evaporation pond wastewater quantity and quality and adherence to environmental standards and regulations are monitored using the WEPM system. Environmental compliance data is collected from the distributed float network. The environmental compliance data collected from the distributed float network managed by the WEPM system is analyzed. A dashboard is provided displaying future trends of the evaporation ponds wastewater quantity and quality.

An object of the present invention is to reduce the workload of an operator to attach classification information necessary for estimating operational know-how of a water plant to time-series data of measured values and control values. An operational know-how estimation device includes a data acquisition unit configured to acquire target time-series, a classification information attachment unit configured to classify the target time-series data for each section and attach the classification information to the sections of the target time-series data, a know-how estimation unit configured to calculate a conditional probability that measured values and control values are simultaneously held for each piece of classification information, and estimate operational know-how based on the conditional probability, and a display control unit configured to create display information that supports state understanding or operation manipulation of a water plant based on the operational know-how and cause a display unit to display the display information.

Disclosed is an intelligent circulation and allocation control system for multiple surface and ground water resources, including a physical, chemical and biological multi-stage decentralized restoration system, which is respectively connected with a water quality detection and reinjection system, an integrated data processing system, an intelligent safety early warning system, and an asynchronous and self-adaptive dual-regulation optimization control system, the water quality detection and reinjection system is connected with the intelligent safety early warning system, the intelligent safety early warning system is connected with the integrated data processing system, and the integrated data processing system is further connected with the asynchronous and self-adaptive dual-regulation optimization control system. The intelligent circulation and allocation control system is based on an improved wastewater treatment process coupling physical, chemical and biological technologies and combined with an artificial intelligence technology to treat various water sources in a macroscopic water environment and optimize allocation control.

A programmable logic controller, PLC, comprising: a programmable logic module; a Modbus interface configured to receive one or more Modbus commands, the one or more Modbus commands specifying a configuration for one or more Boolean logic operations; and a programming module operatively coupled to the Modbus interface and the programmable logic module, the programming module being configured to program the programmable logic module in accordance with the configuration for the one or more Boolean logic operations specified by the received one or more Modbus commands.

A management device for a water treatment facility includes: a transmembrane pressure difference prediction unit configured to predict a general trend in a transmembrane pressure difference in a water treatment system based on an operation information, the operation information being related to the water treatment system including a membrane separation device installed therein; a chemical solution cleaning planning unit configured to devise such a chemical solution cleaning plan that chemical solution cleaning is performed before a period when a value of the transmembrane pressure difference predicted reaches a specified value; and a chemical solution order placement information generation unit configured to generate chemical solution order placement information based on the and the cleaning chemical solution stock information.

Embodiments of the present invention provide hydroponics farming apparatus, and systems including the same. The farming apparatus comprises a frame, a plurality of functional systems, a first plurality of sensors configured to monitor conditions associated with farming of the one or more plants, and one or more modular storage cabinets removably attached to the frame. The one or more modular storages include electronics that are pre-assembled and configured to communicate with one or more of the first plurality of sensors and the plurality of functional systems. The electronics includes a main controller configured to collect data from the first plurality of sensors.

Disclosed is a cascade water recycling intelligent system for shale gas exploitation, comprising a cascade water recycling system, wherein a data output end of the cascade water recycling system is connected with a data input end of an information system, a data output end of the information system is connected with a data input end of a decision making system, and a data output end of the decision making system is connected with a regulator; the cascade water recycling system comprises at least one time of water quantity judgment, a current exploiting intensity of shale gas is continued under a condition that the water quantity does not exceed a water safety threshold; and monitoring data is transferred to the information system under a condition that the water quantity exceeds the water safety threshold; the information system is further used for transferring the collected data to the decision making system.

A pelletizing apparatus includes a filter device connected with a melt feed, a granulator downstream of the filter device, particularly an underwater granulator, a water treatment device, and a control means for controlling the filter device, underwater granulator, and water treatment device and adapted to provide at least one control parameter. The apparatus includes at least one machine-readable and -writable identification means for storing and providing an item of component-specific information and being associated with a component in the flow path of the melt or the process water, and a reading device communicating with the control means to receive the component-specific information from the identification means, and a writing device to write the identification means with the component-specific information, the control means to adapt the control parameter based on the component-specific information to provide the component-specific information, and, based on the component-specific information, to execute a diagnostic process.