CN214298771U

CN214298771U - Intelligent early warning device based on elevator performance monitoring

Info

Publication number: CN214298771U
Application number: CN202023097905.5U
Authority: CN
Inventors: 杜海峰; 曹喜生; 赵兴彦; 杨治山; 曹硕
Original assignee: Tianshui Electric Transmission Research Institute Group Co ltd
Current assignee: Tianshui Electric Transmission Research Institute Group Co ltd
Priority date: 2020-12-21
Filing date: 2020-12-21
Publication date: 2021-09-28
Anticipated expiration: 2030-12-21

Abstract

The utility model discloses an intelligent early warning device based on elevator performance monitoring, which comprises a local data acquisition and processing center connected with a local information center and an industrial cloud center, wherein the local data acquisition and processing center is connected with a hydraulic system detection terminal, an electric control system detection terminal and a mechanical system monitoring terminal; the local data acquisition and processing center comprises a controller, and the controller is connected with a switching value acquisition unit, an analog value acquisition unit and a communication data reading unit; the switching value acquisition unit, the analog value acquisition unit and the communication data reading unit read the operation data of the elevator through various sensors arranged at an electric control detection terminal and a hydraulic system detection terminal of the elevator. The utility model discloses when accomplishing lifting machine performance monitoring, extract the information that can the sign trouble, make trouble early warning analysis and judgement, generate data trend curve, file data to form the fortune dimension report, strengthen the security of lifting machine, improve production efficiency.

Description

Intelligent early warning device based on elevator performance monitoring

Technical Field

The utility model relates to a mine mechanical equipment technical field, specific intelligent early warning device based on lifting machine performance monitoring that says so.

Background

The mine hoist is a key and large-scale special device in the mine industry, and the safety and the reliability of the mine hoist are the most concerned key points of each mine user, so that the problem of paying attention to each user and manufacturer is always how to avoid accidents, particularly catastrophic accidents, of the hoist. Since the occurrence of an accident cannot be predicted for a long time, two countermeasures have to be taken: firstly, when the equipment is damaged, the maintenance is carried out, the economic loss of the method is very large, and when the equipment is damaged, the expensive maintenance cost is often needed, the equipment needs to be replaced even if the equipment is damaged in a catastrophic way, and even casualties can be caused; and secondly, equipment is overhauled regularly, the method has certain planning and precautionary properties, but the method has the defects that if no fault exists, the economic loss is large, and the time period of the regular overhaul is difficult to determine. Therefore, the reasonable maintenance should be predictable, that is, the hidden danger of the equipment is monitored in the early stage of the failure of the hoister, and the forecast is performed in advance so as to take corresponding measures timely and reasonably.

SUMMERY OF THE UTILITY MODEL

The utility model aims at providing an intelligence early warning device based on lifting machine performance monitoring carries out all-round, all-weather monitoring to the machinery of lifting machine, automatically controlled, three major systems of hydraulic pressure, through the quiet of the different positions of sensor, instrument and meter collection lifting machine, when the time domain data's of combining analysis and judgement, produces intelligent trouble warning function in advance, supplies the user to carry out preventive maintenance to scientific and reasonable's formulation is maintained, maintenance plan.

In order to achieve the above purpose, the utility model adopts the following technical scheme:

an intelligent early warning device based on performance monitoring of a hoist comprises a local data acquisition and processing center connected with a local information center and an industrial cloud center through a network switch, wherein the local data acquisition and processing center is connected with a hydraulic system detection terminal, an electric control system detection terminal and a mechanical system monitoring terminal; the local data acquisition and processing center comprises a data acquisition and processing center built by a high-performance programmable logic controller, and a timer is arranged in the controller; the controller is connected with the switching value acquisition unit, the analog value acquisition unit and the communication data reading unit; the switching value acquisition unit comprises a switching value acquisition module, and the analog value acquisition unit comprises an analog value acquisition module; the communication data reading unit comprises a communication interface; the switching value acquisition unit, the analog value acquisition unit and the communication data reading unit read the operation data of the elevator through various sensors arranged at an electric control detection terminal and a hydraulic system detection terminal of the elevator.

Preferably, the controller is S7-1517-3PN/DP, and comprises three interfaces, namely a PROFINET IO controller supporting RT/IRT, a PROFINET IO controller supporting RT and a PROFIBUS DP master station; the controller also integrates Profinet and Profibus field bus interfaces.

Preferably, the switching value acquisition unit acquires signals of the operation switch of the cooling fan, the wind pressure protection switch, the opening and closing state of the valve, the position fixed point monitoring switch and the overwinding protection switch through a sensor connected with the switching value acquisition module; the model of the switching value acquisition module is 6ES521-1BL00-0AB 0.

Preferably, the analog quantity acquisition unit acquires analog quantity signals, analog quantity signals mechanical system signals, hydraulic system signals and electric control system signals in the running process of the elevator through a sensor connected with the analog quantity acquisition module; the mechanical system signals comprise motor X/Y direction vibration, lubricating oil pressure, lubricating oil temperature and lubricating oil liquid level; the hydraulic system signals comprise brake oil pressure, brake oil temperature, hydraulic valve state, brake shoe clearance, brake disc temperature and key device operation time; the electric control system signals comprise power device temperature, fan running time, converter running time, key wearing part working time, high-voltage system voltage and current power factors, low-voltage system voltage and current power factors, high-voltage system harmonic waves, transformer temperature, reactor temperature and high-low voltage bus temperature, and the sensors convert the signals into 4-20mA or 0-20mA electric signals through the transmitters connected with the sensors and send the signals to the analog quantity acquisition unit of the local data acquisition center; the analog quantity acquisition module has the following model: 6ES7531-7KF00-0AB 0.

Preferably, the communication data reading unit comprises CM, PtP and RS422/RS485 communication interfaces.

The utility model discloses a working process does:

after lifting machine equipment is electrified, the device begins the self-checking, simultaneously, reads the static parameter of the corresponding part of lifting machine, through the parameter of dispatching from the factory of the relevant equipment of storage in the local information center, judges whether static parameter is in normal within range, whether allow the driving. After the elevator is started, a built-in timer in the device is started simultaneously, dynamic parameters of elevator components are read, and whether real-time data of the elevator operation is within a normal range or not is judged through comparison and analysis with a component dynamic parameter range value stored in a local information center, so that all-dimensional state detection of the elevator is completed. The local information center forms a basic reference value for fault early warning through the collected operation data of the hoister, and early warning data of relevant parts of the hoister is obtained through long-term self-correction; some calculation analysis which is difficult to complete in the local data acquisition and processing center is sent to the industrial cloud center through the cloud gateway for big data analysis, an analysis data report is formed and sent back to the local information center to be stored in the information center data server, and a host computer of the local information center automatically forms a report which can be visually displayed to prompt a client to perform corresponding maintenance in advance.

Industry cloud center can rent good commercial industry cloud platform of operation.

The utility model has the advantages that:

the utility model discloses when accomplishing lifting machine performance monitoring, from a large amount of monitoring data, utilize reasonable data analysis method, extract the information that can the sign trouble, make trouble early warning analysis and judgement, generate data trend curve, file data to form the fortune dimension report, strengthen the security of lifting machine, improve production efficiency.

The utility model discloses a to lifting machine running signal's collection, can obtain the trend of change of data through local information center and industry cloud center to carry out the early warning before part, components and parts break down, guarantee that the operation of lifting machine is healthy good state.

The method can be used for the mine hoist and can be widely applied to other systems with higher requirements on safety performance.

Drawings

Fig. 1 is a schematic structural diagram of the present invention.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings.

The intelligent early warning device based on the performance monitoring of the hoister shown in the figure 1 comprises a local data acquisition and processing center which is connected with a local information center and an industrial cloud center through a network switch, wherein the local data acquisition and processing center is connected with a hydraulic system detection terminal, an electric control system detection terminal and a mechanical system monitoring terminal; the local data acquisition and processing center comprises a data acquisition and processing center built by a high-performance programmable logic controller, and a timer is arranged in the controller; the controller is connected with the switching value acquisition unit, the analog value acquisition unit and the communication data reading unit; the switching value acquisition unit comprises a switching value acquisition module, and the analog value acquisition unit comprises an analog value acquisition module; the communication data reading unit comprises a communication interface; the switching value acquisition unit, the analog value acquisition unit and the communication data reading unit read the operation data of the elevator through various sensors arranged at an electric control detection terminal and a hydraulic system detection terminal of the elevator.

The controller is S7-1517-3PN/DP, and comprises three interfaces, namely a PROFINET IO controller supporting RT/IRT, a PROFINET IO controller supporting RT and a PROFIBUS DP master station; the controller also integrates Profinet and Profibus field bus interfaces.

The switching value acquisition unit acquires signals of a cooling fan running switch, a wind pressure protection switch, a valve opening and closing state, a position fixed point monitoring switch and an overwinding protection switch through a sensor connected with the switching value acquisition module; the model of the switching value acquisition module is 6ES521-1BL00-0AB 0.

The analog quantity acquisition unit acquires analog quantity signals, analog quantity signal mechanical system signals, hydraulic system signals and electric control system signals in the running process of the elevator through a sensor connected with the analog quantity acquisition module; the mechanical system signals comprise motor X/Y direction vibration, lubricating oil pressure, lubricating oil temperature and lubricating oil liquid level; the hydraulic system signals comprise brake oil pressure, brake oil temperature, hydraulic valve state, brake shoe clearance, brake disc temperature and key device operation time; the electric control system signals comprise power device temperature, fan running time, converter running time, key wearing part working time, high-voltage system voltage and current power factors, low-voltage system voltage and current power factors, high-voltage system harmonic waves, transformer temperature, reactor temperature and high-low voltage bus temperature, and the sensors convert the signals into 4-20mA or 0-20mA electric signals through the transmitters connected with the sensors and send the signals to the analog quantity acquisition unit of the local data acquisition center; the analog quantity acquisition module has the following model: 6ES7531-7KF00-0AB 0.

The communication data reading unit comprises CM, PtP and RS422/RS485 communication interfaces.

The utility model discloses a working process does:

Claims

1. The utility model provides an intelligence early warning device based on lifting machine performance monitoring, includes the local data acquisition processing center who links through network switch and local information center and industry cloud center, its characterized in that: the local data acquisition and processing center is connected with a hydraulic system detection terminal, an electric control system detection terminal and a mechanical system monitoring terminal; the local data acquisition and processing center comprises a data acquisition and processing center built by a high-performance programmable logic controller, and a timer is arranged in the controller; the controller is connected with the switching value acquisition unit, the analog value acquisition unit and the communication data reading unit; the switching value acquisition unit comprises a switching value acquisition module, and the analog value acquisition unit comprises an analog value acquisition module; the communication data reading unit comprises a communication interface; the switching value acquisition unit, the analog value acquisition unit and the communication data reading unit read the operation data of the elevator through various sensors arranged at an electric control detection terminal and a hydraulic system detection terminal of the elevator.

2. The intelligent early warning device based on elevator performance monitoring of claim 1, wherein: the controller is S7-1517-3PN/DP, and comprises three interfaces, namely a PROFINET IO controller supporting RT/IRT, a PROFINET IO controller supporting RT and a PROFIBUS DP master station; the controller also integrates Profinet and Profibus field bus interfaces.

3. The intelligent early warning device based on elevator performance monitoring of claim 1 or 2, characterized in that: the switching value acquisition unit acquires signals of a cooling fan running switch, a wind pressure protection switch, a valve opening and closing state, a position fixed point monitoring switch and an overwinding protection switch through a sensor connected with the switching value acquisition module; the model of the switching value acquisition module is 6ES521-1BL00-0AB 0.

4. The intelligent early warning device based on elevator performance monitoring of claim 3, wherein: the analog quantity acquisition unit acquires analog quantity signals, analog quantity signal mechanical system signals, hydraulic system signals and electric control system signals in the running process of the elevator through a sensor connected with the analog quantity acquisition module; the mechanical system signals comprise motor X/Y direction vibration, lubricating oil pressure, lubricating oil temperature and lubricating oil liquid level; the hydraulic system signals comprise brake oil pressure, brake oil temperature, hydraulic valve state, brake shoe clearance, brake disc temperature and key device operation time; the electric control system signals comprise power device temperature, fan running time, converter running time, key wearing part working time, high-voltage system voltage and current power factors, low-voltage system voltage and current power factors, high-voltage system harmonic waves, transformer temperature, reactor temperature and high-low voltage bus temperature, and the sensors convert the signals into 4-20mA or 0-20mA electric signals through the transmitters connected with the sensors and send the signals to the analog quantity acquisition unit of the local data acquisition center; the analog quantity acquisition module has the following model: 6ES7531-7KF00-0AB 0.

5. The intelligent early warning device based on elevator performance monitoring of claim 4, wherein: the communication data reading unit comprises CM, PtP and RS422/RS485 communication interfaces.