CN105501884A - Remote monitoring and service system for mine capacity - Google Patents
Remote monitoring and service system for mine capacity Download PDFInfo
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- CN105501884A CN105501884A CN201510230955.0A CN201510230955A CN105501884A CN 105501884 A CN105501884 A CN 105501884A CN 201510230955 A CN201510230955 A CN 201510230955A CN 105501884 A CN105501884 A CN 105501884A
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Abstract
The invention discloses a remote monitoring and service system for mine capacity. The system comprises a data center, wherein the data center comprises a central access server and/or a mobile intelligent terminal, the central access server is used for performing real-time analysis processing on real-time weight data which are subjected to data transmission processing and acquired by belt conveyors on a mining site, and the mobile intelligent terminal is used for realizing data display and human-computer interaction conveniently; the system further comprises a wagon balance. The mine capacity measurement process of the system comprises steps as follows: data output by a weighing instrument are read, and weighing data of the belt conveyors are acquired; the acquired weighing data of the belt conveyors are compared with historical weighing data, which can be compared correspondingly, of the wagon balance, and data checking is performed; if the state of wireless data transmission equipment is normal, the state of a production line is judged; if the state of the production line is normal, conveying equipment data checking is performed; historical transportation data are accumulated, and accumulative capacity statistics is performed; capacity estimation is performed.
Description
Technical field
The invention belongs to technical field of mining equipment, particularly the production capacity remote monitoring of a kind of mine and service system.
Background technology
Construction machinery and equipment, especially be the weight equipment of representative with mining machinery, intensive, high employment, high added value, the industry of possessing skills drives the features such as property is strong, itself and Sensor Network technology are that the modern high technology of representative combines, and are that construction machinery and equipment industry realizes strategic transformation and fast-developing necessary basis.Under the background of global industry 4.0 upsurge, the informationization of domestic and international common concern heavy mechanical equipment, intellectuality, high-endization development process.But from China's development level, for a long time, because technology is limited, the level of understanding is limited, the reason such as backward in management, extensive style exploitation, China's mine resources comprehensive utilization ratio is lower.
In the production capacity metering of mine, current most of mine adopts weighbridge manually to weigh, accuracy rate of weighing is low, by reading workman or gerentocratic subjective impact large, lack actv. ladder of management, many work inconvenience and negative influence are brought to workman, mine management person, mine owner and government administration section.
Summary of the invention
The object of this invention is to provide the production capacity remote monitoring of a kind of mine and service system.Utilize in mine operation, what have a belted electronic balance function a kind ofly just can carry out the Automatic balance of consecutive weighings without the need to quality segmentation or the load-transfer device that interrupts to the loose unpacked material on load-transfer device, and in mine, harbour, the industry such as metallurgy be all widely used.Therefore, the present invention is by utilizing Sensor Network technology to the monitoring of belted electronic balance, realization is to the running state of mine operation line, Real-time Obtaining, the process of instantaneous output and manage, acquisition mine production capacity state that can be relatively accurate, and carries out corresponding statistics and diagnosis.Even if belt conveyer scale of the present invention has the belt feeder of function of weighing.
Technical scheme of the present invention is, a kind of mine production capacity remote monitoring and service system, comprise at least one for the belt feeder of mass transport, this belt feeder has LOAD CELLS and tachogenerator, the real-time weight of belt feeder convey materials can be obtained, described LOAD CELLS is connected with weighing instrument, and tachogenerator obtains the speed of belt feeder
Described system comprises data center, data center comprises central access services device and/or mobile intelligent terminal, wherein, the weight real time data that central authorities' access services device is used for the belt feeder of the mine site after data transmission and processing obtains carries out real-time analysis process, mobile intelligent terminal is used for conveniently realizing data display and man-machine interaction
Described system also comprises the weighbridge of weighing,
The mine production capacity metering process of described system comprises the following steps:
Read weighing instrument and export data, obtain belt feeder weighing data;
The belt feeder weighing data of acquisition is compared with the historical data that may correspond to the weight bridge weighing compared, carries out data check;
If Wireless data transmission equipment state is normal, then judge to produce line states;
If it is normal to produce line states, then carry out load transfer device data check;
To historical shipment data accumulation, accumulative production capacity statistics;
Carry out productivity estimation.
Described productivity estimation process comprises:
Weighbridge crossed by haulage truck,
Obtain weighbridge data L (n, m) and produce line n,
Call belt conveyer scale historical data, according to product line n product type, time division section is set according to calibration, acquisition time sequence i;
Calculate L ' (n, m), L ' (n, m)=∑ β (i) w (i) v (i);
Relatively this weighbridge obtains data L (n, m) and belt feeder productivity estimation data L ' (n, m), if difference is greater than threshold value, then sends alarm,
Wherein L ' (n, m) computation process is as follows:
Arrange metering cycle, in this metering cycle, accumulation finished product crosses weighbridge, adopts m cycle to carry out data calibration,
Belt production time in each metering cycle is divided into i unit, and i is positive integer,
Each metering cycle, produces line n for certain, acquisition data w (1), w (2) ..., w (24) }, v (1), v (2) ..., v (24) } and with L (n, m),
With L (n, m), w (i) v (i) is returned, obtain β (i), obtain
L’(m)=∑β(i)·w(i)·v(i)
Wherein, β (i) only has three kinds of values:
Acceleration mode (v (i+1)-v (i) >0.01)
Deceleration regime (v (i+1)-v (i) <-0.01)
At the uniform velocity state (v (i+1)-v (i) approximates 0, positive and negative be no more than 0.01m/s).
The present invention is based on the belt-conveying to surface mine material, by being arranged on the LOAD CELLS image data on travelling belt, and on cloud service platform, analyzing and processing being carried out to data, obtaining mine production capacity information, and according to the demand of terminal user, based on mobile terminal Graphics Processing result.The present invention, by mine formulation experiment and service system, is defined by the Data acquisition and transmit Procedure Acquisition information of belt conveyer scale to calculate the process of production capacity at cloud platform.The present invention realizes a kind of system of the yield monitoring for surface mine, can automatic acquisition mine instantaneous output, and calculates the periodic production capacity in mine, improves the mine operation efficiency of management and monitoring precision.
Accompanying drawing explanation
Equipment composition schematic diagram in Fig. 1 one embodiment of the invention
Fig. 2 production capacity measurement flow of the present invention figure
Fig. 3 embodiment of the present invention AOF calculation diagram of circuit
Productivity estimation process in Fig. 4 production capacity measurement flow of the present invention
Fig. 5 present system composition schematic diagram.
Fig. 6 present system framework composition schematic diagram.
Wherein, 1---LOAD CELLS, 2---tachogenerator, 3---weighing instrument, 4---crane span structure of weighing, 5---weighing carrier roller, 6---return belt.
Detailed description of the invention
As shown in Figure 5, the present invention realize mine formulation experiment and long distance service system comprise following components: wherein, belt conveyer scale on-site data gathering sensing terminal is arranged on each sensor, and is identified respectively by unified approach, as shown in figure below belt position.Monitor terminal is arranged in the control cabin in mine, and by GPRS network, the operating condition convergence of each belt conveyer scale is carried out analyzing and processing to data center, eventually through mobile intelligent terminal interface display.Concrete system architecture as shown in Figure 6.
Belt conveyer scale on-site data gathering of the present invention is by being arranged on LOAD CELLS on belt feeder and speed sensor obtains on-the-spot belt feeder work data.
Data transmission and processing can convert the RS485/RS232 signal that weighing instrument exports to ethernet signal by sensor Information Monitoring by serial server, make the data of instrument that mine Intranet can be utilized to transfer to built-in terminal, the distance of transmission quality that is unrestricted, transmission improves greatly.
Real time processing is by software simulating to the management of weighing data and status data etc. and process, and management function comprises: Operation system setting, data query, system maintenance.Wherein, Operation system setting comprises communications setting, calibration is arranged, and data query comprises logout, report form statistics, history production capacity, cycle index of the performance comparatively, and system maintenance comprises interface setting, user management.
Data display and man-machine interaction are by realizing display and the man-machine interaction of data based on the mobile APP of mobile intelligent terminal.The APP page comprises two-layer, and ground floor shows mine production capacity overall conclusion and each product line key message in the form of a list, and click wall scroll product line and can enter the second layer, the second layer shows information and the belt of every bar belt feeder in the form of a list.
The present invention relates in the formulation experiment system of mine, the teleprocessing transport module realizing many belt conveyer scale data transmission and processing with based on the data processing of belt conveyer scale and exchange method, comprising:
1. the sensing data pair being arranged on each belt conveyer scale realizes concentrated collection, relates to data and comprises trimmed size, finished product instant flow rate, finished product cumulative amount and belt speed.
2. by above-mentioned monitor terminal, data are uploaded to data center by GPRS, realize the process to data by data center, the instantaneous load of single belt is than calculating by following formula: instantaneous load ratio=(this hourly output/start duration (the number of minutes) in this hour) * 60/ specified load per hour.
3., based on periodic weighbridge data, utilize the Return Law to train the accumulative productivity estimation of belt conveyer scale, make the belt conveyer scale after process add up capacity data and obtain automatic calibration, and realize the alarm function in weighbridge data exception situation.
4. the human-computer interaction interface of long-distance metering information is realized by mobile phone A PP, the APP page comprises two-layer, ground floor shows mine production capacity overall conclusion and each product line key message in the form of a list, click wall scroll product line and can enter the second layer, the second layer shows information and the belt of every bar belt feeder in the form of a list.
For regression analysis, when employing linear regression analysis, known quantity is
L (m): weighbridge perception data.
W (i) v (i): the cumulative production that each unit of time (metering cycle) is inner and average velociity.
If the factor beta (i) in regression equation:
A) acceleration mode (v (i+1)-v (i) >0.01): β (1) (note: the threshold value of 0.01 can be arranged according to different belt conveyer scale models)
B) deceleration regime (v (i+1)-v (i) <0.01): β (2)
C) at the uniform velocity state (v (i+1)-v (i) approximates 0, positive and negative be no more than 0.01m/s): β (0)
D) the initial value of three kinds of β is 1.That is, when not calibrating, the continuous data of acquiescence belt conveyer scale is exactly capacity data.
For convenience of description, if:
E) W
0∑ w (i) v (i) of=at the uniform velocity state
F) W
1∑ w (k) v (k) of=acceleration mode
G) W
2∑ w (j) v (j) of=deceleration regime
When returning calculating, suppose the whole at the uniform velocity state of belt feeder in above-mentioned production process, then formula is:
h)L(m)=β(0)×∑w(i)·v(i)。
I) namely by this equation, a variable β (0) is calculated.In productivity estimation process, if be all at the uniform velocity state, then L ' (m)=β (0) * ∑ w (i) v (i), if having acceleration mode and deceleration regime, then L ' (m)=β (0) × W0+1 × W
1+ 1 × W
2;
Acceleration, deceleration, at the uniform velocity state are all deposited in case, adopt method of least square to calculate:
J) variance minimum value: minQ=∑ e
m 2,, wherein, e
m=L ' (m)-L (m).
K) use variance Q to ask local derviation to β (0), β (1), β (2) respectively, draw ternary cubic equation, solve an equation to obtain β (0), β (1), β (2).
When can be used for solving the L (m) of β value, the observed reading (i.e. sample value) of w (i) v (i) is when increasing, recalculate three kinds of β value and upgrade in systems in which, before the sample value of upper once L (m) inputs and recalculates new round β value, productivity estimation is namely by up-to-date a set of β value.
Claims (2)
1. a mine production capacity remote monitoring and service system, comprise at least one for the belt feeder of mass transport, this belt feeder has LOAD CELLS and tachogenerator, the real-time weight of belt feeder convey materials can be obtained, described LOAD CELLS is connected with weighing instrument, tachogenerator obtains the speed of belt feeder
Described system comprises data center, data center comprises central access services device and/or mobile intelligent terminal, wherein, the weight real time data that central authorities' access services device is used for the belt feeder of the mine site after data transmission and processing obtains carries out real-time analysis process, mobile intelligent terminal is used for conveniently realizing data display and man-machine interaction
Described system also comprises the weighbridge of weighing,
It is characterized in that, the mine production capacity metering process of described system comprises the following steps:
Read weighing instrument and export data, obtain belt feeder weighing data;
The belt feeder weighing data of acquisition is compared with the historical data that may correspond to the weight bridge weighing compared, carries out data check;
If Wireless data transmission equipment state is normal, then judge to produce line states;
If it is normal to produce line states, then carry out load transfer device data check;
To historical shipment data accumulation, accumulative production capacity statistics;
Carry out productivity estimation.
2. mine production capacity remote monitoring as claimed in claim 1 and service system, it is characterized in that, described productivity estimation process comprises:
Weighbridge crossed by haulage truck,
Obtain weighbridge data L (n, m) and produce line n,
Call belt conveyer scale historical data, according to product line n product type, time division section is set according to calibration, acquisition time sequence i;
Calculate L ' (n, m), L ' (n, m)=∑ β (i) w (i) v (i);
Relatively this weighbridge obtains data L (n, m) and belt feeder productivity estimation data L ' (n, m), if difference is greater than threshold value, then sends alarm,
Wherein L ' (n, m) computation process is as follows:
Arrange metering cycle, in this metering cycle, accumulation finished product crosses weighbridge, adopts m cycle to carry out data calibration,
Belt production time in each metering cycle is divided into i unit, and i is positive integer,
Each metering cycle, produces line n for certain, acquisition data w (1), w (2) ..., w (24) }, v (1), v (2) ..., v (24) } and with L (n, m),
With L (n, m), w (i) v (i) is returned, obtain β (i), obtain
L’(m)=∑β(i)·w(i)·v(i)
Wherein, β (i) has three kinds of values:
Acceleration mode (v (i+1)-v (i) >0.01)
Deceleration regime (v (i+1)-v (i) <0.01)
At the uniform velocity state (v (i+1)-v (i) approximates 0, positive and negative be no more than 0.01m/s).
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Cited By (6)
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CN107680075A (en) * | 2017-08-11 | 2018-02-09 | 辽宁科技大学 | A kind of sublevel caving method without sill pillar ore removal effect remote real-time monitoring system and method |
CN108446998A (en) * | 2018-03-29 | 2018-08-24 | 成都精灵云科技有限公司 | Coal mine output based on cloud platform and mass monitoring system |
CN109696230A (en) * | 2017-10-24 | 2019-04-30 | 中国水利水电第十二工程局有限公司 | Mine automatic gauge, the true order quantity device of output |
CN110542472A (en) * | 2019-09-25 | 2019-12-06 | 吴镇宇 | mine productivity remote monitoring and service system |
CN111896087A (en) * | 2020-08-12 | 2020-11-06 | 无锡跃进科技有限公司 | Dynamic metering method for hopper scale |
CN112577586A (en) * | 2020-10-19 | 2021-03-30 | 邯郸钢铁集团有限责任公司 | Material object scale correcting method for belt electronic scale of disc feeder |
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CN103200232A (en) * | 2013-03-04 | 2013-07-10 | 南京三埃工控股份有限公司 | Remote support system and remote support method of belt weigher |
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US240618A (en) * | 1881-04-26 | Street-crossing protector for elevated railways | ||
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107680075A (en) * | 2017-08-11 | 2018-02-09 | 辽宁科技大学 | A kind of sublevel caving method without sill pillar ore removal effect remote real-time monitoring system and method |
CN109696230A (en) * | 2017-10-24 | 2019-04-30 | 中国水利水电第十二工程局有限公司 | Mine automatic gauge, the true order quantity device of output |
CN109696230B (en) * | 2017-10-24 | 2020-12-11 | 中国水利水电第十二工程局有限公司 | Automatic metering, outputting and determining goods quantity device for mine |
CN108446998A (en) * | 2018-03-29 | 2018-08-24 | 成都精灵云科技有限公司 | Coal mine output based on cloud platform and mass monitoring system |
CN110542472A (en) * | 2019-09-25 | 2019-12-06 | 吴镇宇 | mine productivity remote monitoring and service system |
CN111896087A (en) * | 2020-08-12 | 2020-11-06 | 无锡跃进科技有限公司 | Dynamic metering method for hopper scale |
CN112577586A (en) * | 2020-10-19 | 2021-03-30 | 邯郸钢铁集团有限责任公司 | Material object scale correcting method for belt electronic scale of disc feeder |
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