CN115826471A - Mining machinery remote intelligent control system - Google Patents
Mining machinery remote intelligent control system Download PDFInfo
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Abstract
The invention provides a mining machinery remote intelligent control system. A mining machinery remote intelligent control system comprises the following steps: detecting the opening state of the mining machinery; detecting working parameters of the mining machinery; detecting the self state of the mining machinery; and (4) closing operation processing is carried out on the mining machinery, and the self state fault information of the mining machinery is uploaded to a display terminal and an alarm is given. The invention provides a mining machinery remote intelligent control system, which can be automatically started in mining machinery, can better master the working condition of the mining machinery by controlling the working parameters and the self state of various mining machinery, can accurately judge the failure reason of the mining machinery when the condition occurs, and can shut down equipment, thereby avoiding further damage of the mining machinery, simultaneously being convenient for monitoring and maintenance by workers, improving the working efficiency, and having the advantages of simple operation, high automation degree and low time cost.
Description
Technical Field
The invention relates to a mining machinery control system, in particular to a mining machinery remote intelligent control system.
Background
With the continuous development of mineral resources in China, the demand of mining machinery and equipment is increasing day by day. In order to guarantee the long-term effective operation of the mining mechanical equipment, workers need to regularly overhaul the mining mechanical equipment, find the fault problem inside the equipment as soon as possible and guarantee the smooth development of mineral resources. With the continuous development of mining equipment, the demand for using a mining machine remote intelligent control system is increasing day by day, most of the existing mining machine remote intelligent control systems can only control one type of mining machines, different systems are needed for monitoring all the mining machines, the time is long, and the efficiency is low.
Disclosure of Invention
In order to overcome the defects that most of the existing mining machinery remote intelligent control systems can only control one type of mining machinery at present, different systems are needed for monitoring all the mining machinery, the time is long, and the efficiency is low, the invention provides the mining machinery remote intelligent control system, so that the mining machinery can be automatically started, the working conditions of the mining machinery can be better controlled by controlling the working parameters and the self-states of various mining machinery, the failure reason of the mining machinery can be accurately judged when the conditions occur, equipment is shut down, further damage of the mining machinery is avoided, meanwhile, the monitoring and maintenance of workers are facilitated, the working efficiency is improved, the operation is simple, the automation degree is high, and the time cost is low.
In order to solve the technical problem, the following technical scheme is adopted, and the remote intelligent control system for the mining machinery comprises the following steps of:
s1: detecting the starting state of the mining machinery, controlling the starting of the corresponding mining machinery if the mining machinery is not started, and entering S2 if the mining machinery is started;
s2: detecting working parameters of the mining machinery, judging whether the working parameters of the mining machinery are in the corresponding preset parameter range, if the working parameters of the mining machinery are in the preset parameter range, repeatedly monitoring, if the working parameters of the mining machinery are not in the preset parameter range, closing the corresponding mining machinery, and displaying an error of the working parameters of the corresponding mining machinery on a display terminal and giving an alarm;
s3: detecting the self-state information of the mining machinery, judging whether the self-state information of the mining machinery is in a normal state, if the self-state information of the mining machinery is in the normal state, repeatedly monitoring, and if not, entering S4; the normal state of the mining machinery is that the temperature, the running speed, the residual oil and the abrasion degree of the mining machinery are within a preset range;
s4: and (4) closing operation processing is carried out on the mining machinery, and the self state fault information of the mining machinery is uploaded to a display terminal and an alarm is given.
Further, in the step S3, the determination of the mining machine temperature specifically includes the following steps:
c1: setting corresponding early warning temperature T1 and overload temperature T2 of the mining machinery;
c2: continuously acquiring the temperature T3 and the time T1 of the corresponding mining machinery;
c3: constructing an f (T1) function by using T3 and T1, and calculating a derivative function f' (T1) of the f (T1) function;
c4: continuously judging whether T3 is more than T1, if T3 is more than T1, entering C5, otherwise entering C6;
c5: judging whether the auxiliary cooling device is started, if the auxiliary cooling device is started, closing the auxiliary cooling device, and keeping continuous judgment on T3 < T1, if the auxiliary cooling device is not started, not operating;
c6: starting the auxiliary cooling device, after an interval time t2, judging whether f '(t 1) < 0' is established, if so, entering C4, otherwise, entering C7;
c7: displaying on a display terminal: continuously judging whether the temperature of the mining machinery is in a continuously rising trend, if so, displaying overhigh temperature and giving an alarm on a display terminal, and otherwise, entering C8;
c8: and closing the operation of the corresponding mining machinery, and uploading the temperature fault information of the mining machinery to the display terminal.
Further, in the step S3, the determination of the operation speed of the mining machine specifically includes:
g1: setting a preset running speed range corresponding to the mining machinery by taking m1 as a minimum value and m2 as a maximum value;
g2: continuously acquiring the running speed m of the corresponding mining machinery;
g3: judging whether m1 is more than or equal to m2 is true, if m1 is more than or equal to m2, not operating, and maintaining the continuous judgment of the running speed of the mining machine, otherwise, entering G4;
g4: and closing the corresponding mining machinery operation, judging that m is less than m1, if m is less than m1, displaying that the mining machinery operation speed is too low and giving an alarm on the display terminal, or displaying that the mining machinery operation speed is too high and giving an alarm on the display terminal.
Further, in the step S3, the mining machine oil surplus includes a mining machine lubricating oil surplus and a condensate surplus, and the determination of the mining machine oil surplus includes the specific steps of:
h1: setting a corresponding threshold U1 of the surplus of the lubricating oil of the mining machinery and a threshold L1 of the surplus of the condensate;
h2: continuously acquiring the residual U2 of the lubricating oil and the residual L2 of the condensate of the corresponding mining machinery;
h3, judging whether U2 is more than or equal to U1 and L2 is more than or equal to L1, if U2 is more than or equal to U1 and L2 is more than or equal to L1, not operating, and keeping continuous judgment on the residual oil, otherwise, entering H4;
h4: judging whether U2< U1& L2> L1 'is established or not, if the U2< U1& L2> L1' is established, prompting that lubricating oil is insufficient at a display terminal, and requesting to supplement in time, otherwise entering H5;
h5, if 'U2 > U1& L2< L1' is established, prompting that the condensate is insufficient at the display terminal, and requesting to supplement in time, otherwise entering H6;
and H6, uploading the fault information of the residual oil quantity of the mining machinery to a display terminal and giving an alarm.
Further, in the step S3, the determination of the wear degree of the mining machine specifically includes the following steps:
k1: judging the external wear degree of the corresponding mining machinery, storing the external wear degree of the mining machinery by using a Boolean value, wherein 0 represents no wear, and 1 represents wear;
k1.1: continuously acquiring the corresponding external wear degree P2 of the mining machinery by using a monitoring probe;
k1.2: judging whether the 'P2 = = 0' is true, if the 'P2 = = 0' is true, entering K1.1, and if not, entering K1.3;
k1.3, closing the operation of the corresponding mining machine, uploading the external abrasion degree fault information of the mining machine to a display terminal and giving an alarm;
k2, judging the internal wear degree of the corresponding mining machine;
k2.1: setting corresponding internal wear degree P3 of the mining machinery;
k2.2: continuously acquiring the corresponding internal wear degree P4 of the mining machinery by using ultrasonic waves;
k2.3: judging whether P3< P4 'is true, if P3< P4' is true, entering K2.2, otherwise entering K2.4;
k2.4: and closing the operation of the corresponding mining machine, uploading the internal wear degree fault information of the mining machine to a display terminal, and giving an alarm.
Further, comprising:
the control module is used for starting and closing the mining machinery;
the memory module is used for storing preset working parameters of all mining machines, presetting self state information and storing f (t 1) functions;
the running speed detection module is used for acquiring the running speed of the mining machinery;
the alarm module is used for giving an alarm;
the display terminal module is used for displaying fault information, responding to the input of a user and setting a preset parameter range, preset state information, current working parameters and current state information;
the working parameter detection module is used for detecting the working parameters of the mining machinery and judging whether the current working parameters of the mining machinery are normal or not;
and the self-state information detection module is used for detecting the self-state information of the mining machinery and judging whether the current self-state of the mining machinery is normal or not.
Further, the self-status information detection module includes:
the temperature detection unit is used for acquiring the current temperature of the mining machinery;
the auxiliary cooling unit is used for further cooling the mining machinery;
the oil liquid surplus detection unit is used for acquiring the current oil liquid surplus of the mining machinery;
and the abrasion degree detection unit is used for acquiring the current abrasion degree of the mining machinery.
Further, the wear degree detection unit includes:
the external detection assembly of the mining machinery is used for detecting the external abrasion degree of the mining machinery;
the internal detection assembly of the mining machine is used for detecting the internal abrasion degree of the mining machine. The invention has the following advantages:
1. the invention provides a mining machinery remote intelligent control system, which can be automatically started in mining machinery, can better master the working condition of the mining machinery by controlling the working parameters and the self state of various mining machinery, can accurately judge the failure reason of the mining machinery when the condition occurs, and can shut down equipment, thereby avoiding further damage of the mining machinery, simultaneously being convenient for monitoring and maintenance by workers, improving the working efficiency, and having the advantages of simple operation, high automation degree and low time cost.
2. According to the invention, the temperature of the mining machinery is monitored in real time and compared with the early warning temperature and the overload temperature, when the temperature of the mining machinery exceeds the early warning temperature, the auxiliary cooling system is started, when the temperature of the mining machinery exceeds the overload temperature, the operation of the corresponding mining machinery is closed, the temperature fault information of the mining machinery is uploaded to the display terminal, and the management personnel are reminded.
3. According to the invention, through real-time monitoring of the running speed of the mining machine and comparison with the preset running speed range of the mining machine, when the running speed of the mining machine is too low, the display terminal displays that the running speed of the mining machine is too low and gives an alarm, otherwise, the display terminal displays that the running speed of the mining machine is too high and gives an alarm, and the alarm reminds managers.
4. According to the invention, through real-time monitoring of the residual amount of the oil and comparison with the residual amount of the oil preset by the mining machinery, when the lubricating oil of the mining machinery is insufficient, the shortage of the lubricating oil is prompted at the display terminal, timely replenishment is requested, and a manager is prompted to timely replenish.
5. According to the invention, through real-time monitoring of the wear degree and comparison with the preset wear degree of the mining machinery, when the mining machinery is worn, the operation of the corresponding mining machinery is closed, the failure information of the wear degree of the mining machinery is uploaded to the display terminal and an alarm is given, and when the mining machinery is worn, the internal wear or the external wear can be accurately judged, so that a manager is reminded to carry corresponding parts to replace.
6. The method is carried out through the terminal, the failure of the mining machinery due to any reason can be accurately judged when the mining machinery is in a state, and the equipment is shut down, so that the further damage and danger of the mining machinery are avoided, the monitoring and maintenance of workers are facilitated, and the working efficiency is improved.
Drawings
Fig. 1 is a schematic flow chart of the remote intelligent control of the mining machine according to the present invention.
Fig. 2 is a schematic flow chart of the mining machine temperature fault cause judgment according to the present invention.
Fig. 3 is a schematic flow chart illustrating the determination of the cause of the failure in the operation speed of the mining machine according to the present invention.
FIG. 4 is a schematic flow chart of the mining machinery residual oil quantity fault reason judgment method.
Fig. 5 is a schematic flow chart of the mining machine wear degree fault cause determination according to the present invention.
Fig. 6 is a schematic structural diagram of a mining machine remote intelligent control system adopted in the present invention.
Fig. 7 is a schematic structural diagram of a self-status information monitoring module according to the present invention.
Fig. 8 is a schematic structural view of the wear level monitoring unit of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The invention provides a mining machinery remote intelligent control system, as shown in fig. 1, the remote intelligent control of the mining machinery comprises the following steps:
s1: detecting the starting state of the mining machinery, and if the mining machinery is not started, controlling the corresponding mining machinery to be started;
s2: detecting working parameters of the mining machinery, judging whether the working parameters of the mining machinery are in the corresponding preset parameter range, if the working parameters of the mining machinery are not in the preset parameter range, closing the corresponding mining machinery, and displaying an error of the working parameters of the corresponding mining machinery on a display terminal to give an alarm;
s3: detecting the self-state information of the mining machinery, judging whether the self-state information of the mining machinery is in a normal state, if the self-state information of the mining machinery is in the normal state, repeatedly monitoring, and if not, entering S4; the normal state of the mining machinery is that the temperature, the running speed, the residual oil and the abrasion degree of the mining machinery are within a preset range;
s4: closing operation processing is carried out on the mining machinery, and self state information of the mining machinery is uploaded to a display terminal and an alarm is given;
according to the mining machine fault diagnosis system, the mining machine can be automatically started, the working conditions of the mining machine can be better controlled by monitoring the working parameters and the self state of various mining machines in real time, the fault reasons of the mining machine can be accurately judged when the conditions occur, equipment is shut down, further damage to the mining machine is avoided, meanwhile, monitoring and maintenance of workers are facilitated, the working efficiency is improved, the operation is simple, the automation degree is high, and the time cost is low.
Example 2
As shown in fig. 2, the monitoring of the temperature by the mine remote intelligent control system comprises the following steps:
c1: setting corresponding early warning temperature T1 and overload temperature T2 of the mining machinery;
c2: continuously acquiring the temperature T3 and the time T1 of the corresponding mining machinery;
c3: constructing an f (T1) function by using T3 and T1, and calculating a derivative function f' (T) of the f (T) function;
c4: continuously judging whether T3 is more than T1, if T3 is more than T1, entering C5, otherwise entering C6;
c5: judging whether the auxiliary cooling device is started, if the auxiliary cooling device is started, closing the auxiliary cooling device, maintaining the continuous judgment of 'T3 < T1', and if the auxiliary cooling device is not started, not operating;
c6: starting the auxiliary cooling device, after an interval time t2, judging whether 'f' (t) < 0 'is established, if' f '(t) < 0' is established, entering C4, otherwise entering C7;
c7: displaying on a display terminal: continuously judging whether the temperature of the mining machinery is in a continuously rising trend, if so, displaying overhigh temperature and giving an alarm on a display terminal, and otherwise, entering C8;
c8: and closing the operation of the corresponding mining machinery, and uploading the temperature fault information of the mining machinery to the display terminal.
According to the invention, the system can monitor the temperature of the mining machinery in real time, the mining machinery is covered by dust, oil stains and the like, the heat dissipation capacity of the mining machinery is reduced when the ventilation opening is opened, the temperature of the condensate liquid is gradually increased, the auxiliary cooling system can be started to remind an administrator when the temperature of the mining machinery exceeds the early warning temperature, and no danger is generated when the mining machinery still operates at the early warning temperature.
As shown in fig. 3, the monitoring of the operation speed by the mine remote intelligent control system comprises the following steps:
g1: setting a preset running speed range corresponding to the mining machinery by taking m1 as a minimum value and m2 as a maximum value;
g2: continuously acquiring the running speed m of the corresponding mining machinery;
g3: judging whether m is greater than or equal to m1 and is less than or equal to m2, if m is greater than or equal to m1 and is less than or equal to m2, not operating, and maintaining continuous judgment on the running speed of the mining machine, otherwise, entering G4;
g4: and closing the corresponding mining machinery operation, judging that m is less than m1, if m is less than m1, displaying that the mining machinery operation speed is too low and giving an alarm on the display terminal, or displaying that the mining machinery operation speed is too high and giving an alarm on the display terminal.
According to the system, the running speed of the mining machine can be monitored in real time, and when the running speed of the mining machine is influenced by dust, stones and the like, the mining and ore crushing speeds are reduced, so that the efficiency of the mining machine is lowered, and the construction period is influenced. Under the condition, the system can display that the running speed of the mining machinery is too low at the terminal, and reminds a manager to clean in time.
As shown in fig. 4, the monitoring of the remaining amount of oil by the mine remote intelligent control system comprises the following steps:
h1: setting a corresponding threshold U1 of the surplus of the lubricating oil of the mining machinery and a threshold L1 of the surplus of the condensate;
h2: continuously acquiring the residual U2 of the lubricating oil and the residual L2 of the condensate of the corresponding mining machinery;
h3, judging whether U2 is more than or equal to U1 and L2 is more than or equal to L1, if U2 is more than or equal to U1 and L2 is more than or equal to L1, not operating, and maintaining continuous judgment of the residual oil, otherwise, entering H4;
h4: judging whether U2< U1& L2> L1 'is established or not, if the U2< U1& L2> L1' is established, prompting that lubricating oil is insufficient at a display terminal, and requesting to supplement in time, otherwise entering H5;
h5, if 'U2 > U1& L2< L1' is established, prompting that the condensate is insufficient at the display terminal, and requesting to supplement in time, otherwise entering H6;
and H6, uploading the fault information of the residual oil quantity of the mining machinery to a display terminal and giving an alarm.
In the invention, the system can monitor the residual oil quantity of the mining machinery in real time, and when the lubricating oil is insufficient, the running speed and the heat dissipation capacity of the mining machinery can be influenced. When the condensate is insufficient, the heat dissipation capacity of the mining machinery can be affected, under the condition, the system can display that the condensate of the mining machinery is insufficient at the terminal, and reminds a manager to supplement in time.
As shown in fig. 5, the monitoring of the wear degree by the mine remote intelligent control system includes the following steps:
k1: judging the external wear degree of the corresponding mining machinery, storing the external wear degree of the mining machinery by using a Boolean value, wherein 0 represents no wear, and 1 represents wear;
k1.1: continuously acquiring the external wear degree P2 of the corresponding mining machinery by using a monitoring probe;
k1.2: judging whether the 'P2 = = 0' is true, if the 'P2 = = 0' is true, entering K1.1, and if not, entering K1.3;
k1.3, closing the operation of the corresponding mining machine, uploading the external abrasion degree fault information of the mining machine to a display terminal and giving an alarm;
k2, judging the internal wear degree of the corresponding mining machine;
k2.1: setting corresponding internal wear degree P3 of the mining machinery;
k2.2: continuously acquiring the corresponding internal wear degree P4 of the mining machinery by using ultrasonic waves;
k2.3: judging whether P3< P4 'is true, if P3< P4' is true, entering K2.2, otherwise entering K2.4;
k2.4: and closing the operation of the corresponding mining machine, uploading the internal wear degree fault information of the mining machine to a display terminal, and giving an alarm.
In the invention, the system can use a monitoring probe and ultrasonic waves to monitor the abrasion degree of the mining machinery in real time:
the external wear degree of the machine is checked by a monitoring probe by using a coloring detection method, for example, a jaw crusher is used, the monitoring probe is used for monitoring a jaw plate of the jaw crusher in real time, whether the jaw plate is decolorized or not is judged, the coloring condition of the jaw plate is displayed at a terminal, and when the jaw plate is decolorized, the external wear of the mining machine can be displayed at the display terminal.
The internal wear degree of the machine is monitored by ultrasonic flaw detection, ultrasonic waves are used for monitoring the inside of the machine in real time such as a main shaft, when the main shaft is cracked and worn, the returned sound waves of ultrasonic equipment are different from normal sound waves and are single defect echoes, when the property of the single defect echoes is that the height is greater than phi 2 and the distance exceeds 50mm, the condition that the inside of the machine is worn is judged, and the internal wear of the mining machine can be displayed at a terminal.
Example 3
As shown in fig. 6, a mine remote intelligent control system includes the following modules:
the control module is used for starting and closing the mining machinery;
the storage module is used for storing preset working parameters of all mining machines, presetting self state information and storing f (t) functions;
the running speed detection module is used for acquiring the running speed of the mining machinery;
the alarm module is used for giving an alarm;
the display terminal module is used for displaying fault information, responding to the input of a user and setting a preset parameter range, preset state information, current working parameters and current state information;
the working parameter detection module is used for detecting the working parameters of the mining machinery and judging whether the current working parameters of the mining machinery are normal or not;
and the self-state information detection module is used for detecting the self-state information of the mining machinery and judging whether the current self-state of the mining machinery is normal or not.
As shown in fig. 7, the self-status information detecting module includes:
the temperature detection unit is used for acquiring the current temperature of the mining machinery;
the auxiliary cooling unit is used for further cooling the mining machinery;
the oil liquid surplus detection unit is used for acquiring the current oil liquid surplus of the mining machinery;
and the abrasion degree detection unit is used for acquiring the current abrasion degree of the mining machinery.
As shown in fig. 8, the wear degree detecting unit includes:
the external detection assembly of the mining machinery is used for detecting the external abrasion degree of the mining machinery;
the internal detection assembly of the mining machine is used for detecting the internal abrasion degree of the mining machine.
Claims (8)
1. The mining machinery remote intelligent control system is characterized in that the remote intelligent control of the mining machinery comprises the following steps:
s1: detecting the starting state of the mining machinery, controlling the starting of the corresponding mining machinery if the mining machinery is not started, and entering S2 if the mining machinery is started;
s2: detecting working parameters of the mining machinery, judging whether the working parameters of the mining machinery are in the corresponding preset parameter range, if the working parameters of the mining machinery are in the preset parameter range, repeatedly monitoring, if the working parameters of the mining machinery are not in the preset parameter range, closing the corresponding mining machinery, and displaying an error of the working parameters of the corresponding mining machinery on a display terminal and giving an alarm;
s3: detecting the self-state information of the mining machinery, judging whether the self-state information of the mining machinery is in a normal state, if the self-state information of the mining machinery is in the normal state, repeatedly monitoring, and if not, entering S4; the normal state of the mining machinery is that the temperature, the running speed, the residual oil and the abrasion degree of the mining machinery are within a preset range;
s4: and (4) closing operation processing is carried out on the mining machinery, and self state fault information of the mining machinery is uploaded to a display terminal and an alarm is given.
2. The mining machine remote intelligent control system according to claim 1, wherein in the step S3, the mining machine temperature is determined by the following specific steps:
c1: setting corresponding early warning temperature T1 and overload temperature T2 of the mining machinery;
c2: continuously acquiring the temperature T3 and the time T1 of the corresponding mining machinery;
c3: constructing an f (T1) function by using T3 and T1, and calculating a derivative function f' (T1) of the f (T1) function;
c4: continuously judging whether T3 < T1 is true, if T3 < T1 is true, entering into
C5, otherwise, entering C6;
c5: judging whether the auxiliary cooling device is started, if the auxiliary cooling device is started, closing the auxiliary cooling device, and keeping continuous judgment on T3 < T1, if the auxiliary cooling device is not started, not operating;
c6: starting the auxiliary cooling device, after an interval time t2, judging whether f '(t 1) < 0' is established, if so, entering C4, otherwise, entering C7;
c7: displaying on a display terminal: continuously judging whether the temperature of the mining machinery is in a continuously rising trend, if so, displaying overhigh temperature and giving an alarm on a display terminal, and otherwise, entering C8;
c8: and closing the operation of the corresponding mining machinery, and uploading the temperature fault information of the mining machinery to the display terminal.
3. The mining machine remote intelligent control system according to claim 1, wherein the determination of the mining machine operating speed in step S3 specifically includes:
g1: setting a preset running speed range corresponding to the mining machinery by taking m1 as a minimum value and m2 as a maximum value;
g2: continuously acquiring the running speed m of the corresponding mining machinery;
g3: judging whether m is greater than or equal to m1 and is less than or equal to m2, if m is greater than or equal to m1 and is less than or equal to m2, not operating, and maintaining continuous judgment on the running speed of the mining machine, otherwise, entering G4;
g4: and closing the corresponding mining machinery operation, judging that m is less than m1, if m is less than m1, displaying that the mining machinery operation speed is too low and giving an alarm on the display terminal, or displaying that the mining machinery operation speed is too high and giving an alarm on the display terminal.
4. The mining machine remote intelligent control system according to claim 1, wherein in the step S3, the remaining mining machine oil includes the remaining mining machine lubricating oil and the remaining condensate, and the determination of the remaining mining machine oil includes the following specific steps:
h1: setting a corresponding threshold U1 of the surplus of the lubricating oil of the mining machinery and a threshold L1 of the surplus of the condensate;
h2: continuously acquiring the residual U2 of the lubricating oil and the residual L2 of the condensate of the corresponding mining machinery;
h3, judging whether U2 is more than or equal to U1 and L2 is more than or equal to L1, if U2 is more than or equal to U1 and L2 is more than or equal to L1, not operating, and keeping continuous judgment on the residual oil, otherwise, entering H4;
h4: judging whether U2< U1& L2> L1 'is established or not, if the U2< U1& L2> L1' is established, prompting that lubricating oil is insufficient at a display terminal, and requesting to supplement in time, otherwise entering H5;
h5, if 'U2 > U1& L2< L1' is established, prompting that the condensate is insufficient at the display terminal, and requesting to supplement in time, otherwise entering H6;
and H6, uploading the fault information of the residual oil quantity of the mining machinery to a display terminal and giving an alarm.
5. The mining machine remote intelligent control system according to claim 1, wherein in the step S3, the mining machine wear degree is determined by the specific steps of:
k1: judging the external wear degree of the corresponding mining machinery, storing the external wear degree of the mining machinery by using a Boolean value, wherein 0 represents no wear, and 1 represents wear;
k1.1: continuously acquiring the corresponding external wear degree P2 of the mining machinery by using a monitoring probe;
k1.2: judging whether the 'P2 = = 0' is true, if the 'P2 = = 0' is true, entering K1.1, otherwise entering K1.3;
k1.3, closing the operation of the corresponding mining machine, uploading the external abrasion degree fault information of the mining machine to a display terminal and giving an alarm;
k2, judging the internal wear degree of the corresponding mining machine;
k2.1: setting corresponding internal wear degree P3 of the mining machinery;
k2.2: continuously obtaining the corresponding internal wear degree P4 of the mining machinery by using ultrasonic waves;
k2.3: judging whether P3< P4 'is true, if P3< P4' is true, entering K2.2, otherwise entering K2.4;
k2.4: and closing the operation of the corresponding mining machine, uploading the internal wear degree fault information of the mining machine to a display terminal, and giving an alarm.
6. The mining machine remote intelligent control system of claim 1, comprising:
the control module is used for starting and closing the mining machinery;
the memory module is used for storing preset working parameters of all mining machines, presetting self state information and storing f (t 1) functions;
the running speed detection module is used for acquiring the running speed of the mining machinery;
the alarm module is used for giving an alarm;
the display terminal module is used for displaying fault information, responding to the input of a user and setting a preset parameter range, preset state information, current working parameters and current state information;
the working parameter detection module is used for detecting the working parameters of the mining machinery and judging whether the current working parameters of the mining machinery are normal or not;
and the self-state information detection module is used for detecting the self-state information of the mining machinery and judging whether the current self-state of the mining machinery is normal or not.
7. The mining machine remote intelligent control system according to claim 6, wherein the self-state information detection module includes:
the temperature detection unit is used for acquiring the current temperature of the mining machinery;
the auxiliary cooling unit is used for further cooling the mining machinery;
the oil liquid surplus detection unit is used for acquiring the current oil liquid surplus of the mining machinery;
and the wear degree detection unit is used for acquiring the current wear degree of the mining machinery.
8. The mining machine remote intelligent control system according to claim 7, wherein the wear degree detection unit includes:
the external detection assembly of the mining machinery is used for detecting the external abrasion degree of the mining machinery;
the internal detection assembly of the mining machine is used for detecting the internal abrasion degree of the mining machine.
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| CN202211636022.8A CN115826471A (en) | 2022-12-20 | 2022-12-20 | Mining machinery remote intelligent control system |
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| CN103676801A (en) * | 2012-09-14 | 2014-03-26 | 江苏晨光盛得液压设备有限公司 | Hydraulic hoist remote control diagnosis and control system |
| CN109779846A (en) * | 2019-01-11 | 2019-05-21 | 北京京运通科技股份有限公司 | Fault early warning method based on Wind turbines temperature |
| CN110351356A (en) * | 2019-07-06 | 2019-10-18 | 内蒙古智能煤炭有限责任公司 | The transmission of mining equiment operation data, intelligent early-warning, remote medical consultation with specialists analysis system and method |
| CN113345212A (en) * | 2021-05-21 | 2021-09-03 | 浙江师范大学 | Engineering machinery monitoring system based on operation parameters |
| CN114973149A (en) * | 2022-06-28 | 2022-08-30 | 上海煤科信息科技有限公司 | AI equipment fault monitoring method and system for intelligent mine and computer readable storage medium |
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| CN103676801A (en) * | 2012-09-14 | 2014-03-26 | 江苏晨光盛得液压设备有限公司 | Hydraulic hoist remote control diagnosis and control system |
| CN109779846A (en) * | 2019-01-11 | 2019-05-21 | 北京京运通科技股份有限公司 | Fault early warning method based on Wind turbines temperature |
| CN110351356A (en) * | 2019-07-06 | 2019-10-18 | 内蒙古智能煤炭有限责任公司 | The transmission of mining equiment operation data, intelligent early-warning, remote medical consultation with specialists analysis system and method |
| CN113345212A (en) * | 2021-05-21 | 2021-09-03 | 浙江师范大学 | Engineering machinery monitoring system based on operation parameters |
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