The present disclosure relates to a manufacturing system, method and control circuitry for quality assured manufacturing of at least two biopharmaceutical products. The manufacturing system comprises a warehouse facility, a hydration facility, and at least two biopharmaceutical manufacturing facilities, wherein the warehouse facility and hydration facility are comprised in the macro structure. Each biopharmaceutical manufacturing facility is comprised in a respective micro node, and a control facility in the macro structure is configured to control interoperability of the macro structure and the micro nodes by means of a network spine interconnecting the macro structure with each micro node.

The present disclosure relates to a manufacturing system, method and control circuitry for quality assured manufacturing of at least two biopharmaceutical products. The manufacturing system comprises a warehouse facility, a hydration facility, and at least two biopharmaceutical manufacturing facilities, wherein the warehouse facility and hydration facility are comprised in the macro structure. Each biopharmaceutical manufacturing facility is comprised in a respective micro node, and a control facility in the macro structure is configured to control interoperability of the macro structure and the micro nodes by means of a network spine interconnecting the macro structure with each micro node.

An apparatus, system, and methods for measuring environmental parameters are disclosed. The apparatus, system and methods can be used for a variety of applications, including HVAC air balancing and building commissioning. The system includes a variety of wireless sensing modules and wearable modules for control. display, and storage. Parameters measured include air and water temperature, pressure. velocity, and flow. Also included are sensors for light intensity, CO concentrations, and CO2 concentrations.

An apparatus, system, and methods for measuring environmental parameters are disclosed. The apparatus, system and methods can be used for a variety of applications, including HVAC air balancing and building commissioning. The system includes a variety of wireless sensing modules and wearable modules for control. display, and storage. Parameters measured include air and water temperature, pressure. velocity, and flow. Also included are sensors for light intensity, CO concentrations, and CO2 concentrations.

A system and method for remote monitoring and control of landfill and recycling operations provide an intelligent centralized platform for remote, real-time industrial data gathering and process control for management of landfill and recycling operations such as leachate, gas, water and other liquids. The system and method can directly upload machine data (such as liquid volumes, flows, level, equipment runtime, sorter data, status, etc) into a centralized platform. This data can be used for analytics and automation of processes and equipment control.

A system and method for remote monitoring and control of landfill and recycling operations provide an intelligent centralized platform for remote, real-time industrial data gathering and process control for management of landfill and recycling operations such as leachate, gas, water and other liquids. The system and method can directly upload machine data (such as liquid volumes, flows, level, equipment runtime, sorter data, status, etc) into a centralized platform. This data can be used for analytics and automation of processes and equipment control.

Tools and techniques are described to automate line testing when wiring devices (such as equipment and sensors) to controllers. Controllers have access to databases of the devices that are controlled by them, including wiring diagrams and protocols, such that the controller can automatically check that each wire responds correctly to stimulus from the controller. After testing, a reporting device rapidly shows the results of the line testing.

Tools and techniques are described to automate line testing when wiring devices (such as equipment and sensors) to controllers. Controllers have access to databases of the devices that are controlled by them, including wiring diagrams and protocols, such that the controller can automatically check that each wire responds correctly to stimulus from the controller. After testing, a reporting device rapidly shows the results of the line testing.

Systems and methods for monitoring and controlling a plant using extremum-seeking control. The method includes perturbing a setpoint for a controller by applying a dither signal to the setpoint. The controller uses a perturbed setpoint to generate one or more control inputs for the building equipment. Receiving, from the building equipment, an output signal and obtaining values of a performance variable based on the output signal, the values of the performance variable resulting from operating the building equipment based on the perturbed setpoint. The method includes determining a gradient of the performance variable with respect to the perturbed setpoint and a Hessian of the performance variable affected by the building equipment with respect to the setpoint. The method includes determining an adjustment to the setpoint predicted to drive the performance variable to an extremum based on the gradient and the Hessian of the performance variable.

Systems and methods for monitoring and controlling a plant using extremum-seeking control. The method includes perturbing a setpoint for a controller by applying a dither signal to the setpoint. The controller uses a perturbed setpoint to generate one or more control inputs for the building equipment. Receiving, from the building equipment, an output signal and obtaining values of a performance variable based on the output signal, the values of the performance variable resulting from operating the building equipment based on the perturbed setpoint. The method includes determining a gradient of the performance variable with respect to the perturbed setpoint and a Hessian of the performance variable affected by the building equipment with respect to the setpoint. The method includes determining an adjustment to the setpoint predicted to drive the performance variable to an extremum based on the gradient and the Hessian of the performance variable.