System for monitoring physical parameters of textile machinery and method of predictive maintenance

1. A method for identifying malfunctions or degradation of the operation of a textile machine, comprising the steps of:

providing, in a spinning line, a plurality of textile machines, each textile machine provided with a control unit for processing management and at least one detection device for detecting a physical value of a component of a respective textile machine constituting detected data, wherein the detected data for each textile machine includes at least one of:

i) a temperature value of support structures of moving organs of the machine;

ii) a pressure value in suction ducts of the machine;

iii) an acceleration value of the component;

iv) a distance value between two organs of the machine;

v) a current value of electric motors of the machine;

vi) a force value of tensioned belts of the machine; and

vii) images relating to the machine or organs thereof;

storing, by a storage device remotely located with respect to the spinning line, the detected data or status data of the spinning line or of the textile machine;

transmitting the detected data or the status data from the detection device to the storage device;

providing remote processing means operatively connected with the storage device for processing the detected data or the status data stored;

correlating a trend of the detected data or the status data of the individual ones of the textile machines based on an amount of data; and

implementing a predictive maintenance on at least one of the textile machines based on the trend.

2. The method according to claim 1 , further comprising correlating the trend of the detected data or the status data of a first textile machine of the plurality of textile machines with the trend of detected data or status data of a second textile machine of the plurality of textile machines.

3. The method according to claim 1 , wherein the detected data or the status data are transmitted to the storage device in real time means with temporal continuity.

4. The method according to claim 2 , wherein the detected data or status data are transmitted to the storage device with a predefined frequency or upon an occurrence of a predefined event.

5. The method according to claim 2 , wherein the physical value of the component of the textile machine is an operating parameter.

6. The method according to claim 5 , further comprising:

analysing collected data of a single operating parameter, the collected data being the detected or the status data collected over a period of time, and

detecting a drift phenomenon indicating a deterioration of operating conditions.

7. The method according to claim 2 , wherein the first textile machine is upstream of the second textile machine in the spinning line.

8. The method according to claim 7 , wherein the first textile machine is a blow room machine and the second textile machine is a spinning machine.

9. The method according to claim 1 , wherein the detected data or the status data are transmitted to the storage device in real time with temporal continuity.

10. The method according to claim 1 , wherein the detected data or the status data are transmitted to the storage device with a predefined frequency or upon an occurrence of a predefined event.

11. The method according to claim 1 , wherein the detected data or the status data are transmitted to the storage device with a predefined frequency, the predefined frequency being daily or weekly.

12. The method according to claim 1 , wherein the detected data or the status data are transmitted to the storage device upon an occurrence of a predefined event, the predefined event being a machine stoppage or an approach of scheduled service.

13. The method according to claim 1 , wherein the plurality of textile machines of the spinning line comprise:

one or more blow room machines, a blow room machine being at least one of: a plucker, a mixer, an opener, a mixing loader, a scale loader, and a tuft blender;

one or more carding machines;

one or more combing machines, a combing machine being at least one of: a drawing frame, a lap winder, and a comber; and

one or more spinning machines, a spinning machine being a roving frame or a spinning machine.

14. The method according to claim 1 , further comprising:

identifying an anomalous trend of the detected data or the status data of an individual textile machine of the plurality of textile machines.

15. The method according to claim 1 , further comprising:

notifying an operator to perform a maintenance on at least one textile machine of the plurality of textile machines in the spinning line.

16. The method according to claim 1 , wherein the amount of data is collected over a period of time.

17. A method of identifying a malfunction or a degradation in an operation of a textile machine, comprising:

providing a textile machine in a spinning line, wherein the textile machine comprises (i) a control unit for processing management data and (ii) at least one detection device for detecting a physical value of a component of the textile machine constituting detected data, wherein the at least one detection device is configured to provide at least one of:

a temperature value of support structures of moving organs of the textile machine;

a pressure value in suction ducts of the textile machine;

an acceleration value of the component of the textile machine;

a distance value between two organs of the textile machine;

a current value of electric motors of the textile machine;

a force value of tensioned belts of the textile machine; and

images relating to the textile machine or organs thereof;

providing a local monitoring system operatively connected to the at least one detection device, the local monitoring system comprising:

local transmission/reception means;

a local data storage; and

a local processing device;

providing main storage means remote with respect to the spinning line for storing detected data or status data of the spinning line or of the textile machine;

providing remote transmission/reception means for transmitting the detected data or the status data collected in the local storage to the main storage means;

providing remote processing means operatively connected with the main storage means for processing the detected data or the status data as stored; and

correlating a trend between the detected data or the status data of the textile machine and;

implementing a predictive maintenance based at least in part on an amount of data.