摘要:
A system for wastewater treatment process control comprising a set of measuring means arranged to obtain a dataset, the dataset comprises a plurality of process variables related to a parameter of the wastewater treatment process; a prediction module arranged to receive the dataset and predict the parameter of wastewater treatment process based on a soft sensor; a troubleshooting module arranged to compare the predicted parameter with a predetermined criterion; wherein if the predicted parameter does not satisfy the predetermined criterion; the troubleshooting module is operable to identify at least one process variable from the plurality of process variables which causes the predicted parameter not to satisfy the predetermined criterion and determine whether the identified at least one process variable from the plurality of process variables is controllable. An optimisation module for use in a wastewater treatment system is also disclosed.
摘要:
A system for wastewater treatment process control comprising a set of measuring means arranged to obtain a dataset, the dataset comprises a plurality of process variables related to a parameter of the wastewater treatment process; a prediction module arranged to receive the dataset and predict the parameter of wastewater treatment process based on a soft sensor; a troubleshooting module arranged to compare the predicted parameter with a predetermined criterion; wherein if the predicted parameter does not satisfy the predetermined criterion; the troubleshooting module is operable to identify at least one process variable from the plurality of process variables which causes the predicted parameter not to satisfy the predetermined criterion.
摘要:
A method includes receiving (502) information associated with operation of multiple pieces of industrial equipment (104) at multiple sites (102a-102n). The multiple pieces of industrial equipment are of a same or similar type, and the information represents different types of data including operational data associated with the multiple pieces of industrial equipment and text-based data associated with the multiple pieces of industrial equipment. The method also includes analyzing (503) the information to identify correlations in the information associated with one or more conditions involving the pieces of industrial equipment. The method further includes, based on the analyzing, generating (510) one or more monitoring rules or routines to be used to identify the one or more conditions. The multiple pieces of industrial equipment could include machines with rotating components, machines with heat transfer equipment, or general process equipment.
摘要:
In one aspect, a method of generating a model for HVAC system control is provided. The method includes generating a model of the performance of an HVAC system, providing the generated model to at least one of an optimal control system and a diagnostic system, and automatically tuning the HVAC system using the generated model and at least one of the optimal control system and the diagnostic system.
摘要:
A cooling tower simulation system may receive a measurement from a cooling tower sensor and generate a predicted output of a cooling tower system based on a model of the cooling tower system. The simulation system may generate an estimated output using an extended Kalman filter with the measurement and the predicted output as inputs, wherein the estimated output represents a characteristic of the cooling tower system.
摘要:
Disclosed is a system and method for monitoring and/or diagnosing operation of a production line (8, 223) of an industrial plant which is controlled by an automation system (10, 226). The system comprises a remote data processing server (6, 200) installed outside of the industrial plant (228) which is arranged to receive a digital input signal (205) reflecting the at least one control input signal (12, 222), and a digital output signal (208) reflecting the second operational state (224), determine at least a first and a second modeled state (14', 207) corresponding to the at least first and second (224) operational states, respectively, by inputting the digital input (205) and the digital output (208) signals to a digital observer model (4, 202) of the production line (8, 223) and the automation system (6, 200) and by processing the digital observer model (4, 202), and to forward the at least first and second modeled states (14', 207) to an output interface (203) from where they can be accessed by modeling and/or diagnosing modules (210, 212).
摘要:
L'invention concerne un dispositif (DISP) de détection d'anomalies par analyse acoustique d'une turbomachine (TURBO) d'aéronef (AERO), caractérisé en ce qu'il est non embarqué et qu'il comporte: Au moins un module (MOD) mobile comportant: des moyens d'acquisition (MDAC) directionnels de signaux acoustiques de la turbomachine (TURBO); des moyens de traitement (MDTT) desdits signaux, adaptés pour générer un rapport d'endommagement (RAP_END); des moyens de transmission (MDTM) dudit rapport d'endommagement (RAP_END); un serveur (SERV) apte à échanger des données avec le au moins un module (MOD), ledit serveur (SERV) comportant: des moyens de réception (MDR) du rapport d'endommagement (RAP_END); des moyens de stockage (MDS) adaptés pour stocker ledit rapport d'endommagement (RAP_END).
摘要:
A platform at a communication network is provided for the procurement of control logic. Customer order parameters are obtained via the communication network. The customer order parameters include at least one of: interface connections for the automation controller, interface configurations for the automation controller, and operating characteristics of the automation controller. Control logic is built that conforms to the custom order parameters. The control logic is stored on the communication network. Changes to the control logic are received and the control logic is changed without the involvement of a third party monitor.
摘要:
A system and method for monitoring underground drilling in which vibration is monitored by creating a model of the drill string using finite element techniques or finite difference techniques and (i) predicting vibration by inputting real time values of operating parameters into the model, and then adjusting the model to agree with measured vibration data, (ii) predicting the weight on bit and drill string and mud motor speeds at which resonance will occur, as well as when stick-slip will occur, so that the operator can avoid operating regimes that will result in high vibration, (iii) determining vibration and torque levels along the length of the drill string based on the measured vibration and torque at one or more locations, (iv) determining the remaining life of critical components of the drill string based on the history of the vibration to which the components have been subjected, and (v) determining the optimum drilling parameters that will avoid excessive vibration of the drill string.