CN108855631B - Flotation machine yield control device based on foam image analyzer - Google Patents
Flotation machine yield control device based on foam image analyzer Download PDFInfo
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- CN108855631B CN108855631B CN201810638106.2A CN201810638106A CN108855631B CN 108855631 B CN108855631 B CN 108855631B CN 201810638106 A CN201810638106 A CN 201810638106A CN 108855631 B CN108855631 B CN 108855631B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03D—FLOTATION; DIFFERENTIAL SEDIMENTATION
- B03D1/00—Flotation
- B03D1/14—Flotation machines
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B03—SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
- B03D—FLOTATION; DIFFERENTIAL SEDIMENTATION
- B03D1/00—Flotation
- B03D1/02—Froth-flotation processes
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Abstract
The invention discloses a flotation machine yield control device based on a foam image analyzer, which comprises a human-computer interface, a detection device, an intelligent controller and an execution mechanism, wherein the human-computer interface is used for inputting set parameters related to the yield of a flotation machine; the detection device is used for detecting actual parameters of the operation state of the flotation machine; the intelligent controller is used for carrying out comparative analysis on actual parameters detected by the detection device according to the parameters set by the human-computer interface, and automatically processing abnormal conditions of the overflow tank so as to ensure that the moving speed of the surface foam of the flotation machine conforms to the set value and the foam thickness of the flotation machine is kept within the range of the upper limit and the lower limit; the execution mechanism is used for executing the result action issued by the intelligent controller according to the analysis result of the intelligent controller, so as to realize corresponding regulation control. The device can directly set the surface foam moving speed of the flotation machine, has better yield linearity with the flotation machine, has faster reaction speed, and greatly reduces the operation frequency of the flotation machine.
Description
Technical Field
The invention relates to the technical field of automatic control of application industry, in particular to a flotation machine yield control device based on a foam image analyzer.
Background
The flotation process is one of the important links of mineral separation production, and the stability of the flotation process directly influences the flotation production index and the economic index of the whole mineral separation plant, so that the realization of the stabilization control of the flotation process is an abnormally important and meaningful work, and the stabilization control of the flotation process is a difficult problem in the flotation production. The common way of controlling the flotation machine in the prior art is to use two single circuits, wherein the first circuit firstly stabilizes the aeration quantity of the flotation machine, and then the second circuit adjusts the actual thickness of the foam of the flotation machine, and the two circuits are completely separated in the control program without direct influence, but in the actual production, the action results of the two circuits can mutually influence, and the operation of the two circuits is balanced and adjusted by a flotation worker. The control mode of the flotation machine has the following problems:
although the actual thickness of the froth of the flotation machine has a certain correlation with the yield of the flotation machine, the linearity of the froth and the yield of the flotation machine is not ideal, the overflow of the flotation machine is kept stable along with the change of the ore property, the setting of the froth thickness of the flotation machine needs to be continuously adjusted, and the change can occur within a few minutes after observation and data comparison; in the aspects of sensitivity and precision for reflecting the state change of the flotation machine, the floating ball is obviously inferior to a foam image analyzer for measuring the surface foam moving speed of the flotation machine when the actual thickness of the foam of the flotation machine is measured; through data analysis and repeated communication with a flotation worker, the organization mode of the existing method is found to be different from the human thinking mode, the flotation worker can directly observe only the outflow condition of the foam on the surface of the flotation machine, which is also the main basis for the flotation worker to adjust the foam thickness setting and the aeration quantity setting of the flotation machine, but the process needs the flotation worker to convert the observed phenomenon into the corresponding foam thickness setting and the aeration quantity setting of the flotation machine according to experience, so when a floating ball is abnormal or fails, the flotation worker can still perform similar conversion, namely the observed phenomenon is converted into the adjustment of the opening degree of a cone valve of the flotation machine and the aeration quantity setting value of the flotation machine.
Disclosure of Invention
The invention aims to provide a flotation machine yield control device based on a foam image analyzer, which can directly set the movement speed of foam on the surface of a flotation machine, has better linearity with the yield of the flotation machine and faster reaction speed, and greatly reduces the operation frequency of a flotation machine.
The purpose of the invention is realized by the following technical scheme:
a flotation machine yield control device based on a foam image analyzer comprises a human-computer interface, a detection device, an intelligent controller and an execution mechanism, wherein:
the human-computer interface is used for inputting set parameters related to the yield of the flotation machine; the setting parameters specifically include: the method comprises the following steps of setting a set value of air supply quantity of a flotation machine, setting an optimized upper limit of air supply quantity of the flotation machine, setting an optimized lower limit of air supply quantity of the flotation machine, setting a range of surface foam moving speed of the flotation machine, setting an upper limit of cone valve linkage of the flotation machine, setting a lower limit of cone valve linkage of the flotation machine, setting an upper limit of foam thickness of the flotation machine, setting a lower limit of foam thickness of the flotation machine, and setting protection of;
the detection device is used for detecting actual parameters of the operation state of the flotation machine; the actual parameters specifically include: actual air supply quantity of the flotation machine, actual moving speed of foam on the surface of the flotation machine and actual thickness of the foam of the flotation machine;
the intelligent controller is used for carrying out comparative analysis on actual parameters detected by the detection device according to the parameters set by the human-computer interface, and automatically processing abnormal conditions of the overflow tank so as to ensure that the moving speed of the surface foam of the flotation machine conforms to the set value and the foam thickness of the flotation machine is kept within the range of the upper limit and the lower limit;
wherein, the intelligent controller includes four exception handling logics, which are respectively: foam thickness exception handling logic, cone valve upper and lower limit linkage exception handling logic, image exception handling logic and floating ball liquid level meter exception handling logic; and two master control logics, respectively: foam speed-cone valve single closed loop main logic, foam thickness-inflation quantity-inflation valve double closed loop main logic;
the executing mechanism specifically comprises a flotation machine cone valve and an aeration quantity regulating valve, and is used for executing the result action given by the intelligent controller according to the analysis result of the intelligent controller to realize corresponding regulation control.
According to the technical scheme provided by the invention, the device can directly set the moving speed of the surface foam of the flotation machine, the linearity of the surface foam and the yield of the flotation machine is better, and the reaction speed is higher, so that the problem that the yield change caused by factors such as ore property change needs to be manually corrected and set is solved, and the operation frequency of a flotation machine is greatly reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a flotation machine yield control device based on a froth image analyzer according to an embodiment of the present invention;
FIG. 2 is a schematic diagram showing the 4 hour profile of the froth travel speed of a flotation machine before and after the use of an apparatus according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an exemplary device layout according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of another device layout according to an exemplary embodiment of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments 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 of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the present invention will be further described in detail with reference to the accompanying drawings, and fig. 1 is a schematic structural diagram of a flotation machine yield control device based on a froth image analyzer according to an embodiment of the present invention, the device mainly includes a human-computer interface, a detection device, an intelligent controller and an execution mechanism, wherein:
the human-computer interface is used for inputting set parameters related to the yield of the flotation machine; the setting parameters specifically include: the method comprises the following steps of setting a set value of air supply quantity of a flotation machine, setting an optimized upper limit of air supply quantity of the flotation machine, setting an optimized lower limit of air supply quantity of the flotation machine, setting a range of surface foam moving speed of the flotation machine, setting an upper limit of cone valve linkage of the flotation machine, setting a lower limit of cone valve linkage of the flotation machine, setting an upper limit of foam thickness of the flotation machine, setting a lower limit of foam thickness of the flotation machine, and setting protection of;
the detection device is used for detecting actual parameters of the operation state of the flotation machine; the actual parameters specifically include: actual air supply quantity of the flotation machine, actual moving speed of foam on the surface of the flotation machine and actual thickness of the foam of the flotation machine; the minimum updating period of the actual parameters is less than 1 second so as to meet the requirement of real-time control;
the intelligent controller is used for carrying out comparative analysis on actual parameters detected by the detection device according to the parameters set by the human-computer interface, and automatically processing abnormal conditions of the overflow tank so as to ensure that the moving speed of the surface foam of the flotation machine conforms to the set value and the foam thickness of the flotation machine is kept within the range of the upper limit and the lower limit;
the executing mechanism specifically comprises a flotation machine cone valve and an aeration quantity regulating valve, and is used for executing the result action given by the intelligent controller according to the analysis result of the intelligent controller to realize corresponding regulation control.
In a specific implementation, the intelligent controller may include four exception handling logics, which are respectively: foam thickness exception handling logic, cone valve upper and lower limit linkage exception handling logic, image exception handling logic and floating ball liquid level meter exception handling logic;
and two master control logics, respectively: foam speed-cone valve single closed loop main logic, foam thickness-inflation quantity-inflation valve double closed loop main logic.
Further, the foam velocity-cone valve single closed loop main logic process specifically comprises:
when the intelligent controller judges that the actual moving speed of the surface foam of the flotation machine is deviated from the set interval of the moving speed of the surface foam of the flotation machine, the intelligent controller controls a cone valve of the flotation machine of the actuating mechanism to operate, and the overflow quantity of the foam of the flotation machine is reduced or increased by opening or closing the cone valve, so that the actual moving speed of the surface foam of the flotation machine is reduced or increased;
the double-closed-loop main logic of the foam thickness-inflation volume-inflation valve further comprises a foam thickness-inflation volume outer closed-loop circuit and an inflation volume-inflation valve inner closed-loop circuit, wherein:
the processing process of the foam thickness-inflation quantity external closed loop circuit is as follows:
when the intelligent controller judges that the actual thickness of the foam of the flotation machine is greater than or equal to the upper limit of the foam thickness of the flotation machine, the intelligent controller reduces the set value of the air supply rate of the flotation machine within the set optimized lower limit range of the air supply rate of the flotation machine according to the relative relationship between the actual thickness of the foam of the flotation machine and the upper limit of the foam thickness of the flotation machine, so as to realize the effect of reducing the actual thickness of the foam of the flotation machine;
when the intelligent controller judges that the actual thickness of the foam of the flotation machine is smaller than or equal to the lower limit of the foam thickness of the flotation machine, the intelligent controller increases the set value of the air supply rate of the flotation machine within the set optimized upper limit range of the air supply rate of the flotation machine according to the relative relationship between the actual thickness of the foam of the flotation machine and the lower limit of the foam thickness of the flotation machine, so as to achieve the effect of increasing the actual thickness of the foam of the flotation machine;
when the intelligent controller judges that the actual thickness of the foam of the flotation machine is larger than the lower limit setting of the foam thickness of the flotation machine and smaller than the upper limit setting of the foam thickness of the flotation machine, the intelligent controller keeps the set value of the air supply amount of the flotation machine unchanged;
the processing process of the closed loop in the inflation valve is as follows:
the intelligent controller automatically adjusts an inflation quantity adjusting valve in the executing mechanism according to the set value of the air supply quantity of the flotation machine, so that the actual air supply quantity of the flotation machine reaches the set value of the air supply quantity of the flotation machine, and the actual thickness of the foam of the flotation machine is kept between the setting of the lower limit of the foam thickness of the flotation machine and the setting of the upper limit of the foam thickness of the flotation machine.
In addition, the processing procedure of the foam thickness exception processing logic is as follows:
when the intelligent controller judges that the actual thickness of the foam of the flotation machine is smaller than or equal to the lower limit of the foam thickness of the flotation machine, the intelligent controller adjusts a cone valve of the flotation machine in the executing mechanism according to the lower limit protection setting of the foam thickness of the flotation machine, and overflow is temporarily reduced so as to avoid overflow of the flotation machine; when the foam thickness of the flotation machine is stable and reaches a set interval, the overflow of the flotation machine is restored to a set value again; if the actual thickness of the foam of the flotation machine is smaller than the lower limit set by the thickness of the foam of the flotation machine again during recovery, the process is repeated, and the aims of not only overflowing the foam of the flotation machine but also avoiding overflowing the ore pulp in the overflow tank are achieved.
The cone valve upper and lower limit linkage abnormity processing logic specifically comprises a double closed loop formed by the actual moving speed of foam on the surface of the flotation machine, a set value of air supply quantity of the flotation machine and an inflation valve, and the specific processing process comprises the following steps:
when the intelligent controller judges that the opening degree of the cone valve of the flotation machine exceeds the cone valve linkage upper limit of the flotation machine, the intelligent controller optimizes the setting of the air volume of the flotation machine according to the relative relation between the actual moving speed of the surface foam of the flotation machine and the set interval of the moving speed of the surface foam of the flotation machine; if the actual moving speed of the surface foam of the flotation machine is smaller than the set interval of the moving speed of the surface foam of the flotation machine, the intelligent controller increases the set value of the air supply rate of the flotation machine within the set optimized upper limit range of the air supply rate of the flotation machine; if the actual moving speed of the surface foam of the flotation machine is greater than the set interval of the moving speed of the surface foam of the flotation machine, the intelligent controller reduces the set value of the air supply rate of the flotation machine within the set optimization lower limit range of the air supply rate of the flotation machine; the method has the advantages that the phenomenon that the control capacity of the cone valve of the flotation machine is insufficient is made up, and the actual moving speed of the surface foam of the flotation machine is stabilized in an auxiliary mode:
when the intelligent controller judges that the opening degree of the cone valve of the flotation machine exceeds the cone valve linkage lower limit of the flotation machine, the intelligent controller automatically optimizes the setting of the air quantity of the flotation machine according to the relative relation between the actual moving speed of the surface foam of the flotation machine and the setting interval of the moving speed of the surface foam of the flotation machine; if the actual moving speed of the surface foam of the flotation machine is smaller than the set interval of the moving speed of the surface foam of the flotation machine, the intelligent controller increases the set value of the air supply rate of the flotation machine within the set optimized upper limit range of the air supply rate of the flotation machine; if the actual moving speed of the surface foam of the flotation machine is greater than the set interval of the moving speed of the surface foam of the flotation machine, the intelligent controller reduces the set value of the air supply rate of the flotation machine within the set optimization lower limit range of the air supply rate of the flotation machine; therefore, when the adjusting capacity of the cone valve of the flotation machine is insufficient, auxiliary adjustment is carried out to stabilize the actual moving speed of the foam on the surface of the flotation machine;
in the specific implementation, the intelligent controller automatically adjusts the inflation regulating valve in the actuating mechanism according to the set value of the air supply quantity of the flotation machine, so that the actual air supply quantity of the flotation machine reaches the set value of the air supply quantity of the flotation machine, and when the regulating capacity of the cone valve of the flotation machine is insufficient, the intelligent controller assists in adjustment to stabilize the actual moving speed of the surface foam of the flotation machine.
The processing procedure of the image exception handling logic is as follows:
when the intelligent control ware detects that foam image analyzer detects and appears unusually, automatic switching is traditional flotation device foam thickness and aerifys control mode into, wherein:
the intelligent controller automatically adjusts an inflation quantity adjusting valve in the actuating mechanism according to the set value of the air supply quantity of the flotation machine, so that the actual air supply quantity of the flotation machine reaches the set value of the air supply quantity of the flotation machine; the intelligent controller automatically adjusts a cone valve of the flotation machine in the execution mechanism, so that the actual thickness of the foam of the flotation machine is kept in a state when the foam image analyzer fails;
the image exception handling logic aims to keep the state of the foam image analyzer unchanged when the foam image analyzer fails, and gives an alarm to prompt so as to realize smooth transition, and after the foam image analyzer is repaired, the intelligent controller operates according to normal logic.
The processing process of the abnormal processing logic of the floating ball liquid level meter comprises the following steps:
when the intelligent controller detects that the floating ball liquid level meter is abnormal, the intelligent controller executes the foam speed-cone valve single closed loop main logic and the foam thickness-inflation volume-inflation valve double closed loop main logic;
and after the repair, the intelligent controller operates according to normal logic.
In the concrete implementation, an inflation pipeline is required to be arranged on each tank body of the flotation machine, a flow meter and an air quantity control valve are arranged on the inflation pipeline, a foam image analyzer is arranged on the flotation machine, and a floating ball liquid level meter is arranged on the flotation machine to measure the actual foam thickness of the flotation machine.
In a specific implementation, the processing flow of the apparatus is specifically:
firstly, setting parameters and collecting data in a human-computer interface, wherein the set parameters related to the yield of the flotation machine are input, and the setting comprises the following steps: the method comprises the following steps of setting a set value of air supply quantity of a flotation machine, setting an optimized upper limit of air supply quantity of the flotation machine, setting an optimized lower limit of air supply quantity of the flotation machine, setting a range of surface foam moving speed of the flotation machine, setting an upper limit of cone valve linkage of the flotation machine, setting a lower limit of cone valve linkage of the flotation machine, setting an upper limit of foam thickness of the flotation machine, setting a lower limit of foam thickness of the flotation machine, and setting protection of;
then, acquiring actual parameters of the operation state of the flotation machine by using a detection device, wherein the actual parameters comprise: actual air supply quantity of the flotation machine, actual moving speed of foam on the surface of the flotation machine and actual thickness of the foam of the flotation machine;
and then the intelligent controller preferentially judges whether the equipment state is normal or not, then judges the system state and executes the following operations according to the judgment result:
when the foam image analyzer is normal and the actual thickness of the foam of the flotation machine is greater than the lower limit of the foam thickness of the flotation machine, selecting the operation foam speed-cone valve single closed loop main logic;
when the opening degree of the cone valve of the flotation machine is not triggered to be interlocked, selecting the main logic of the operation foam thickness, the aeration quantity and the double closed loops of the aeration valve;
selecting and operating a foam thickness exception processing logic when the actual foam thickness of the flotation machine is less than or equal to the lower limit of the foam thickness of the flotation machine;
when the opening degree of the cone valve of the flotation machine triggers linkage, selecting and operating the upper and lower limit linkage abnormity processing logic of the cone valve;
when the foam image analyzer is abnormal, selecting to run an image abnormality processing logic;
and when the floating ball liquid level meter is abnormal, selecting to operate abnormal processing logic of the floating ball liquid level meter.
As shown in fig. 2, which is a schematic diagram of the 4-hour change curve of the surface froth moving speed of the flotation machine before and after the device of the embodiment of the invention is used, it can be seen that: 2 hours before the device is used, the foam moving speed on the surface of the flotation machine fluctuates greatly, and the yield is unstable; the flotation machine surface foam moving speed is controlled within a small area range 2 hours after the device is used, so that the flotation machine yield is stable and controllable, wherein the unit of the flotation machine surface foam moving speed is mm/s.
The following describes the implementation process of the above device in detail by using specific examples:
example 1, as shown in fig. 3, a schematic layout of an apparatus according to an example of the embodiment of the present invention is shown, where the human-computer interface and the intelligent controller are integrated on a computer; the intelligent controller is connected with the foam image analyzer in the detection device through a Modbus TCP, and acquires analysis results of the foam image analyzer. The intelligent controller is connected with the DCS through OPC, the DCS is connected with the on-site operation box through Profibus DP, the on-site operation box is connected with a flowmeter for detecting the actual air supply quantity of the flotation machine and a floating ball liquid level meter for detecting the actual thickness of the foam of the flotation machine in the detection device through cables, and the on-site operation box is connected with the execution mechanism through cables.
The DCS system and the local operation box are both intermediaries which are connected with the intelligent controller, the detection device and the execution mechanism.
Example 2, as shown in fig. 4, is a schematic layout of another apparatus according to an example of the embodiment of the present invention, the human-computer interface and the intelligent controller are integrated on a computer; the intelligent controller is connected with the foam image analyzer in the detection device through a Modbus TCP, and acquires analysis results of the foam image analyzer. The intelligent controller is connected with the DCS through OPC, the DCS is connected with the on-site operation box through Profibus DP, the on-site operation box is connected with a flowmeter for detecting the actual air supply quantity of the flotation machine and a floating ball liquid level meter for detecting the actual thickness of the foam of the flotation machine in the detection device through cables, and the on-site operation box is connected with the execution mechanism through cables. The DCS system and the local operation box are both intermediaries which are connected with the intelligent controller, the detection device and the execution mechanism.
This example 2 differs from example 1 in that:
1. the embodiment 2 is a double-tank flotation machine, and the embodiment 1 is a single-tank flotation machine;
2. in the embodiment 2, the foam image analyzer is arranged on a trough body with the largest overflow amount;
3. in the embodiment 2, two inflation quantities, namely, an inflation valve inner closed loop, are provided, and specifically, the inflation quantity of the cell body provided with the foam image analyzer, namely, the inflation valve inner closed loop, is judged according to the overflow condition of the two cell bodies, and the inflation quantity of the cell body not provided with the foam image analyzer, namely, the inflation valve inner closed loop, is operated in the manner of the embodiment 1, or the same manner, and the condition is the embodiment 1; or the single operation is not adjusted, namely the charging amount is added in the embodiment 1, namely the single closed loop circuit of the charging valve, and the single closed loop circuit is a change or replacement which can be easily thought of by the invention.
It is noted that those skilled in the art will recognize that embodiments of the present invention are not described in detail herein.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (2)
1. A flotation machine yield control device based on a foam image analyzer is characterized by comprising a human-computer interface, a detection device, an intelligent controller and an execution mechanism, wherein:
the human-computer interface is used for inputting set parameters related to the yield of the flotation machine; the setting parameters specifically include: the method comprises the following steps of setting a set value of air supply quantity of a flotation machine, setting an optimized upper limit of air supply quantity of the flotation machine, setting an optimized lower limit of air supply quantity of the flotation machine, setting a range of surface foam moving speed of the flotation machine, setting an upper limit of cone valve linkage of the flotation machine, setting a lower limit of cone valve linkage of the flotation machine, setting an upper limit of foam thickness of the flotation machine, setting a lower limit of foam thickness of the flotation machine, and setting protection of;
the detection device is used for detecting actual parameters of the operation state of the flotation machine; the actual parameters specifically include: actual air supply quantity of the flotation machine, actual moving speed of foam on the surface of the flotation machine and actual thickness of the foam of the flotation machine;
the intelligent controller is used for carrying out comparative analysis on actual parameters detected by the detection device according to the parameters set by the human-computer interface, and automatically processing abnormal conditions of the overflow tank so as to ensure that the moving speed of the surface foam of the flotation machine conforms to the set value and the foam thickness of the flotation machine is kept within the range of the upper limit and the lower limit;
wherein, the intelligent controller includes four exception handling logics, which are respectively: foam thickness exception handling logic, cone valve upper and lower limit linkage exception handling logic, image exception handling logic and floating ball liquid level meter exception handling logic; and two master control logics, respectively: foam speed-cone valve single closed loop main logic, foam thickness-inflation quantity-inflation valve double closed loop main logic;
wherein, the processing procedure of the foam thickness exception processing logic is as follows:
when the intelligent controller judges that the actual thickness of the foam of the flotation machine is smaller than or equal to the lower limit of the foam thickness of the flotation machine, the intelligent controller adjusts a cone valve of the flotation machine in the executing mechanism according to the lower limit protection setting of the foam thickness of the flotation machine, and overflow is temporarily reduced so as to avoid overflow of the flotation machine; when the foam thickness of the flotation machine is stable and reaches a set interval, the overflow of the flotation machine is restored to a set value again; if the actual thickness of the foam of the flotation machine is smaller than the lower limit set by the thickness of the foam of the flotation machine again during recovery, repeating the process;
the cone valve upper and lower limit linkage abnormity processing logic specifically comprises a double closed loop formed by the actual moving speed of foam on the surface of the flotation machine, a set value of air supply quantity of the flotation machine and an inflation valve, and the specific processing process comprises the following steps:
when the intelligent controller judges that the opening degree of the cone valve of the flotation machine exceeds the cone valve linkage upper limit of the flotation machine, the intelligent controller optimizes the setting of the air volume of the flotation machine according to the relative relation between the actual moving speed of the surface foam of the flotation machine and the set interval of the moving speed of the surface foam of the flotation machine; if the actual moving speed of the surface foam of the flotation machine is smaller than the set interval of the moving speed of the surface foam of the flotation machine, the intelligent controller increases the set value of the air supply rate of the flotation machine within the set optimized upper limit range of the air supply rate of the flotation machine; if the actual moving speed of the surface foam of the flotation machine is greater than the set interval of the moving speed of the surface foam of the flotation machine, the intelligent controller reduces the set value of the air supply rate of the flotation machine within the set optimization lower limit range of the air supply rate of the flotation machine;
when the intelligent controller judges that the opening degree of the cone valve of the flotation machine exceeds the cone valve linkage lower limit of the flotation machine, the intelligent controller automatically optimizes the setting of the air quantity of the flotation machine according to the relative relation between the actual moving speed of the surface foam of the flotation machine and the setting interval of the moving speed of the surface foam of the flotation machine; if the actual moving speed of the surface foam of the flotation machine is smaller than the set interval of the moving speed of the surface foam of the flotation machine, the intelligent controller increases the set value of the air supply rate of the flotation machine within the set optimized upper limit range of the air supply rate of the flotation machine; if the actual moving speed of the surface foam of the flotation machine is greater than the set interval of the moving speed of the surface foam of the flotation machine, the intelligent controller reduces the set value of the air supply rate of the flotation machine within the set optimization lower limit range of the air supply rate of the flotation machine;
the processing procedure of the image exception handling logic is as follows:
when the intelligent controller detects that the detection of the foam image analyzer is abnormal, the intelligent controller automatically adjusts an aeration regulating valve in the executing mechanism according to the set value of the air supply quantity of the flotation machine, so that the actual air supply quantity of the flotation machine reaches the set value of the air supply quantity of the flotation machine; the intelligent controller automatically adjusts a cone valve of the flotation machine in the execution mechanism, so that the actual thickness of the foam of the flotation machine is kept in a state when the foam image analyzer fails;
the processing process of the abnormal processing logic of the floating ball liquid level meter comprises the following steps:
when the intelligent controller detects that the floating ball liquid level meter is abnormal, the intelligent controller executes the foam speed-cone valve single closed loop main logic and the foam thickness-inflation volume-inflation valve double closed loop main logic;
the executing mechanism specifically comprises a flotation machine cone valve and an aeration quantity regulating valve, and is used for executing the result action given by the intelligent controller according to the analysis result of the intelligent controller to realize corresponding regulation control.
2. The froth image analyzer-based flotation machine yield control device according to claim 1,
the foam speed-cone valve single closed loop main logic specifically comprises the following steps:
when the intelligent controller judges that the actual moving speed of the surface foam of the flotation machine is deviated from the set interval of the moving speed of the surface foam of the flotation machine, the intelligent controller controls a cone valve of the flotation machine of the actuating mechanism to operate, and the overflow quantity of the foam of the flotation machine is reduced or increased by opening or closing the cone valve, so that the actual moving speed of the surface foam of the flotation machine is reduced or increased;
the double-closed-loop main logic of the foam thickness-inflation volume-inflation valve further comprises a foam thickness-inflation volume outer closed-loop circuit and an inflation volume-inflation valve inner closed-loop circuit, wherein:
the processing process of the foam thickness-inflation quantity external closed loop circuit is as follows:
when the intelligent controller judges that the actual thickness of the foam of the flotation machine is greater than or equal to the upper limit of the foam thickness of the flotation machine, the intelligent controller reduces the set value of the air supply rate of the flotation machine within the set optimized lower limit range of the air supply rate of the flotation machine according to the relative relationship between the actual thickness of the foam of the flotation machine and the upper limit of the foam thickness of the flotation machine, so as to realize the effect of reducing the actual thickness of the foam of the flotation machine;
when the intelligent controller judges that the actual thickness of the foam of the flotation machine is smaller than or equal to the lower limit of the foam thickness of the flotation machine, the intelligent controller increases the set value of the air supply rate of the flotation machine within the set optimized upper limit range of the air supply rate of the flotation machine according to the relative relationship between the actual thickness of the foam of the flotation machine and the lower limit of the foam thickness of the flotation machine, so as to achieve the effect of increasing the actual thickness of the foam of the flotation machine;
when the intelligent controller judges that the actual thickness of the foam of the flotation machine is larger than the lower limit setting of the foam thickness of the flotation machine and smaller than the upper limit setting of the foam thickness of the flotation machine, the intelligent controller keeps the set value of the air supply amount of the flotation machine unchanged;
the processing process of the closed loop in the inflation valve is as follows:
the intelligent controller automatically adjusts an inflation quantity adjusting valve in the executing mechanism according to the set value of the air supply quantity of the flotation machine, so that the actual air supply quantity of the flotation machine reaches the set value of the air supply quantity of the flotation machine, and the actual thickness of the foam of the flotation machine is kept between the setting of the lower limit of the foam thickness of the flotation machine and the setting of the upper limit of the foam thickness of the flotation machine.
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| CN110918270A (en) * | 2019-12-31 | 2020-03-27 | 江西理工大学 | Magnetic flotation column with coil height adjustable and forced ore discharge device and control method |
| CN113042220B (en) * | 2021-04-07 | 2022-09-13 | 中国恩菲工程技术有限公司 | Flotation run control system and flotation run control method |
| CN113731645A (en) * | 2021-09-07 | 2021-12-03 | 招金矿业股份有限公司大尹格庄金矿 | Froth flotation concentrate scraping system |
| CN114653485B (en) * | 2022-03-18 | 2023-09-26 | 云南华迅达智能科技有限公司 | Flotation process fuzzy control method based on foam flow velocity |
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