Smart connection panel with LAN link

The new Sinam­ics Con­nect 300 from Siemens pro­vides a sim­ple plug-and-play solu­tion for inte­grat­ing con­vert­ers of the Sinam­ics fam­i­ly into the IT world. The new solu­tion is suit­able for low-volt­age con­vert­ers and sup­ports cloud-based dig­i­tal­iza­tion solu­tions. Mind­Sphere appli­ca­tions such as Ana­lyze MyDrives can now be used direct­ly via Sinam­ics Con­nect 300. Sinam­ics Con­nect 300 is an IoT gate­way with its own ded­i­cat­ed LAN con­nec­tion. The con­vert­er is con­nect­ed direct­ly to the Sinam­ics Con­nect 300 ter­mi­nal block. Para­me­ters, oper­at­ing data and sta­tus­es are being trans­mit­ted over uni­ver­sal ser­i­al inter­face pro­to­col and can be retrieved at any time. No mod­i­fi­ca­tions are nec­es­sary to the hard­ware or firmware of dri­ves used with Sinam­ics Con­nect 300, nor do PLC pro­grams need to be adjust­ed. Com­mis­sion­ing takes place con­ve­nient­ly and sim­ply using a web serv­er user inter­face. Sinam­ics Con­nect 300 does not bring about any changes to the data and sig­nal flow of the machine automa­tion, nor does it place any addi­tion­al load on the field bus of the machine or plant. This makes the use of Sinam­ics Con­nect 300 com­plete­ly inde­pen­dent of the automa­tion and enables rapid, trou­ble-free and low-cost com­mis­sion­ing. The simul­ta­ne­ous con­nec­tion of up to eight dri­ves opens up out­stand­ing economies of scale, and the Sinam­ics Con­nect 300 is also high­ly suit­ed for machine users look­ing to direct­ly upgrade het­ero­ge­neous lega­cy machine fleets in brown field projects.

Analyze MyDrives now available for MindSphere version

The Mind­Sphere app Ana­lyze MyDrives is being pre­pared for use with the lat­est Mind­Sphere ver­sion. Ana­lyze MyDrives allows oper­a­tors to mon­i­tor the dri­ve com­po­nents of their machines. The app col­lates and eval­u­ates all the oper­at­ing data, and can be used to ana­lyze and visu­al­ize any para­me­ters, or to define the thresh­old val­ues and work area. By con­tin­u­ous­ly mon­i­tor­ing pow­er con­sump­tion, torque and fre­quen­cy, it enables the deter­mi­na­tion of actu­al main­te­nance require­ments. As a result, machine oper­a­tors are informed about any crit­i­cal oper­at­ing sta­tus­es with­in the dri­ve train, and machine builders are able to offer ser­vic­ing tai­lored to actu­al needs. Reg­u­lar machine main­te­nance per­formed gen­er­al­ly at pre­de­fined inter­vals is no longer required, enhanc­ing machine capac­i­ty uti­liza­tion and pro­duc­tiv­i­ty while reduc­ing main­te­nance inter­vals and down­times. The analy­sis of oper­at­ing data also enables pre­dic­tive main­te­nance and so reduces the risk of unsched­uled costs, allow­ing all opti­miza­tion poten­tial to be chan­neled into ener­gy-sav­ing measures