# US 2018/0324504 A1 · Intelligent monitoring method and apparatus

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 2018/0324504 A1
- Document ID: US20180324504A1
- Status: Published application
- Kind: A1
- Application number: 15/889,984
- Filed: 2018-02-06
- Published: 2018-11-08
- Earliest claimed: 2017-05-08
- Assignees: Beijing Baidu Science Technology Co., Ltd.
- Applicants: Beijing Baidu Science and Technology Co., Ltd.
- Inventors: Hu Tang; Xiaoyun Yan; Jianchao Cao; Yiming Luo; Lifei Zhang; Binghua Zhang
- Web page: https://patentgrep.com/patent/US20180324504A1

## CPC

- G05B 19/4184: {characterised by fault tolerance, reliability of production system}
- G08B 21/182: {Level alarms, e.g. alarms responsive to variables exceeding a threshold}
- G05B 19/418: Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G08B 21/18: Status alarms (G08B21/02 takes precedence)
- G08B 21/185: {Electrical failure alarms}
- G08B 21/187: {Machine fault alarms}
- H04Q 9/00: Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
- Y02P 90/02: Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
- G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G)
- G08B: SIGNALLING SYSTEMS, e.g. PERSONAL CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- H04Q: SELECTING (switches, relays, selectors H01H; wireless communication networks H04W)
- Y02P: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS

## Abstract

The present disclosure discloses an intelligent monitoring method and apparatus. One specific implementation of the method comprises: determining, based on a plurality of parameter values of a warning associated parameter of a to-be-monitored apparatus within a preset period, a time dependent characteristic that parameter values of the warning associated parameter; and determining a target period, based on the parameter values of the warning associated parameter of the to-be-monitored apparatus at a current time and the time dependent characteristic of the parameter values of the warning associated parameter, and determining whether to generate a warning information based on a period interval encompassing the target period. The warning of possible faults in the operation of industrial equipment is implemented, without a manual monitoring of the operation of the industrial equipment is not required and a complete automated operation of the industrial equipment is implemented.

## Claims

### Claim 1

An intelligent monitoring method, the method comprising:
determining, based on a plurality of parameter values of a warning associated parameter of a to-be-monitored apparatus within a preset period, a time dependent characteristic of the warning associated parameter; and
determining a target period, based on the parameter values of the warning associated parameter of the to-be-monitored apparatus at a current time and the time dependent characteristic of the warning associated parameter, and determining whether to generate warning information based on a period interval encompassing the target period, the target period being a period between the current time and the parameter values of the warning associated parameter being greater than a threshold corresponding to the warning associated parameter.

### Claim 2 (depends on 1)

The method according to claim 1, wherein the to-be-monitored apparatus comprises one of the following: a water pump, a fan, and a cooling tower.

### Claim 3 (depends on 2)

The method according to claim 2, wherein the to-be-monitored apparatus is a water pump, the warning associated parameter is a power deviation rate of the water pump, the time dependent characteristic of the parameter values of the warning associated parameter is a waveform characteristic of the power deviation rate of the water pump; and
the determining, based on a plurality of parameter values of a warning associated parameter of a to-be-monitored apparatus within a preset period, a time dependent characteristic of the warning associated parameter, comprises:
executing following operations to determine a first characteristic of the power deviation rate:
acquiring a first operating parameter of the water pump, the first operating parameter comprising: a rotation speed or a power;
calculating, based on the first operating parameter and a preset operating parameter, the power deviation rate of the water pump, the preset operating parameter comprising one of: a rated first operating parameter, and a calibrated first operating parameter;
determining the waveform characteristic of the power deviation rate of the water pump;
judging whether a sum of periods for executing the operations to determine the first characteristic of the power deviation rate is greater than a first preset period;
if not, executing the operations to determine the first characteristic of the power deviation rate again after a second preset period; and
if yes, aggregating the waveform characteristic of the power deviation rate of the water pump determined in each of the operations to determine the first characteristic of the power deviation rate, to obtain the waveform characteristic of the power deviation rate of the water pump.

### Claim 4 (depends on 2)

The method according to claim 2, wherein the to-be-monitored apparatus is a water pump, the warning associated parameter is a power deviation rate of the water pump, the time dependent characteristic of the parameter values of the warning associated parameter is a waveform characteristic of the power deviation rate of the water pump; and
the determining, based on a plurality of parameter values of a warning associated parameter of a to-be-monitored apparatus within a preset period, a time dependent characteristic of the warning associated parameter, comprises:
executing following operations to determine a second characteristic of the power deviation rate:
acquiring a water pump rotation speed and a second operating parameter of the water pump, the second operating parameter including: a lift, or a flow;
querying, based on the water pump rotation speed and the second operating parameter of the water pump, the flow or the lift of the water pump from a flow-list curve corresponding to the rotation speed;
calculating a water pump efficiency based on the water pump rotation speed and the flow or the list of the water pump after the querying, and calculating the power deviation rate of the water pump based on the water pump efficiency;
determining the waveform characteristic of the power deviation rate of the water pump;
judging whether a sum of periods for executing the operations to determine the second characteristic of the power deviation rate is greater than a first preset period;
if not, executing the operations to determine the second characteristic of the power deviation rate again after a second preset period; and
if yes, aggregating the waveform characteristic of the power deviation rate of the water pump determined in each of the operations to determine the second characteristic of the power deviation rate, to obtain the waveform characteristic of the power deviation rate of the water pump.

### Claim 5 (depends on 2)

The method according to claim 2, wherein the to-be-monitored apparatus is a water pump, the warning associated parameter is a power deviation rate of the water pump, the time dependent characteristic of the parameter values of the warning associated parameter is a waveform characteristic of the power deviation rate of the water pump; and
the determining, based on a plurality of parameter values of a warning associated parameter of a to-be-monitored apparatus within a preset period, a time dependent characteristic of the warning associated parameter, comprises:
executing following operations to determine a third characteristic of the power deviation rate:
acquiring a third operating parameter of the water pump, the third operating parameter comprising: a rotation speed, a flow or a power;
judging whether an operating point corresponding to the third operating parameter is a new operating point;
if yes, using the third operating parameter as a fitting data required for constructing a power-flow-rotation speed model indicating an associated relation between the power of the water pump, the flow of the water pump, and the rotation speed water pump;
if not, calculating the power deviation rate of the water pump based on the power-flow-rotation speed model;
determining the waveform characteristic of the power deviation rate of the water pump;
judging whether a sum of periods for executing the operations to determine the third characteristic of the power deviation rate is greater than a first preset period;
if not, executing the operations to determine the third characteristic of the power deviation rate again after a second preset period; and
if yes, aggregating the waveform characteristic of the power deviation rate of the water pump determined in each of the operations to determine the third characteristic of the power deviation rate, to obtain the waveform characteristic of the power deviation rate of the water pump.

### Claim 6 (depends on 2)

The method according to claim 2, wherein the method further comprises:
executing following operations multiple times to determine an energy saving characteristic:
adjusting a rotation speed of a water pump and a valve opening;
acquiring, after adjusting the rotation speed and the valve opening, a flow of the water pump, a lift of the water pump, the rotation speed of the water pump and a power of the water pump, and calculating an efficiency of the water pump;
determining an associated relation between the flow, the lift and the efficiency at the rotation speed after adjusting the rotation speed, based on the flow of the water pump, the lift of the water pump and the efficiency of the water pump after adjusting the rotation speed and the valve opening; and
aggregating associated relations between the flow, the lift and the efficiency at the rotation speed after adjusting the rotation speed determined in each of operations to determine the energy saving characteristic, to obtain a flow-lift-efficiency database comprising the associated relations between the flow, the lift and the efficiency at multiple speeds.

### Claim 7 (depends on 2)

The method according to claim 2, wherein the to-be-monitored apparatus is a water pump, the warning associated parameter is a functional value of a function indicating an associated relation between temperature information and a rotation speed of the water pump, the time dependent characteristic of parameter values of the warning associated parameter is a waveform characteristic of the function indicating the associated relation between the temperature information and the rotation speed of the water pump; and
the determining, based on a plurality of parameter values of the warning associated parameter of the to-be-monitored apparatus within a preset period, a time dependent characteristic of parameter values of the warning associated parameter, comprises:
executing following operations to determine a function characteristic:
acquiring the temperature information or the rotation speed of the water pump, the temperature information comprising: ambient temperature, fluid temperature or bearing temperature;
taking the temperature information or the rotation speed of the water pump as a fitting data required for constructing a function indicating the associated relation between the temperature information and the rotation speed of the water pump;
calculating, based on the temperature information or the rotation speed of the water pump, the functional value of the function indicating the associated relation between the temperature information and the rotation speed of the water pump;
determining the waveform characteristic of the function indicating the associated relation between the temperature information and the rotation speed of the water pump;
judging whether a sum of periods for executing the operations to determine the function characteristic is greater than a first preset period;
if not, executing the operations to determine the function characteristic again after a second preset period;
if yes, aggregating the waveform characteristic of the function indicating the associated relation between the temperature information and the rotation speed of the water pump determined in each of the operations to determine the functional characteristic, to obtain the waveform of the functional characteristic indicating the associated relation between the temperature information and the rotation speed of the water pump.

### Claim 8 (depends on 2)

The method according to claim 2, wherein the to-be-monitored apparatus is a water pump, the warning associated parameter comprises: a power deviation rate, a flow deviation rate and a lift deviation rate, the time dependent characteristic of parameter values of the warning associated parameter comprises: a waveform characteristic of the power deviation rate of the water pump, a waveform characteristic of the flow deviation rate of the water pump and a waveform characteristic of the lift deviation rate of the water pump; and
the determining, based on a plurality of parameter values of the warning associated parameter of the to-be-monitored apparatus within a preset period, a time dependent characteristic of parameter values of the warning associated parameter, comprises:
executing following operations to determine a comprehensive characteristic:
acquiring a fourth operating parameter of the water pump, the fourth operating parameter comprising one of: a flow, a lift, a power and a rotation speed;
querying, based on the operating parameter, from a pre-constructed flow-lift-rotation-speed-power model indicating an associated relation between the flow, the lift, the rotation speed and the power, data required for calculating the power deviation rate of the water pump, the flow deviation rate of the water pump and the lift deviation rate of the water pump;
calculating the power deviation rate of the water pump, the flow deviation rate of the water pump and the lift deviation rate of the water pump, based on the queried data;
determining the waveform characteristic of the power deviation rate of the water pump, the waveform characteristic of the flow deviation rate of the water pump and the waveform characteristic of the lift deviation rate of the water pump;
judging whether a sum of periods for executing the operations to determine the comprehensive characteristic is greater than the first preset period;
if not, executing the operations to determine the comprehensive characteristic again after a second preset period; and
if yes, aggregating the waveform characteristic of the power deviation rate of the water pump, the waveform characteristic of the flow deviation rate of the water pump and the waveform characteristic of the lift deviation rate of the water pump determined in each of the operations to determine the comprehensive characteristic, to obtain the waveform of the power deviation rate of the water pump, the waveform characteristic of the flow deviation rate of the water pump and the waveform characteristic of the lift deviation rate of the water pump.

### Claim 9

An intelligent monitoring apparatus, comprising:
at least one processor; and
a memory storing instructions, the instructions when executed by the at least one processor, cause the at least one processor to perform operations, the operations comprising:
determining, based on a plurality of parameter values of a warning associated parameter of a to-be-monitored apparatus within a preset period, a time dependent characteristic of the warning associated parameter; and
determining a target period, based on the parameter values of the warning associated parameter of the to-be-monitored apparatus at a current time and the time dependent characteristic of the warning associated parameter, and determining whether to generate warning information based on a period interval encompassing the target period, the target period being a period between the current time and the parameter values of the warning associated parameter being greater than a threshold corresponding to the warning associated parameter.

### Claim 10

A non-transitory computer storage medium, storing a computer program, the computer program when executed by one or more processors, causes the one or more processors to perform operations, the operations comprising:
determining, based on a plurality of parameter values of a warning associated parameter of a to-be-monitored apparatus within a preset period, a time dependent characteristic of the warning associated parameter; and
determining a target period, based on the parameter values of the warning associated parameter of the to-be-monitored apparatus at a current time and the time dependent characteristic of the warning associated parameter, and determining whether to generate warning information based on a period interval encompassing the target period, the target period being a period between the current time and the parameter values of the warning associated parameter being greater than a threshold corresponding to the warning associated parameter.