CN116142723A - Belt feeder intelligent protection early warning system based on chip intelligent control - Google Patents
Belt feeder intelligent protection early warning system based on chip intelligent control Download PDFInfo
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- 239000003245 coal Substances 0.000 claims abstract description 40
- 238000012544 monitoring process Methods 0.000 claims abstract description 5
- 239000000779 smoke Substances 0.000 claims description 24
- 230000008859 change Effects 0.000 claims description 20
- 239000002390 adhesive tape Substances 0.000 claims description 15
- 238000001514 detection method Methods 0.000 claims description 9
- 238000003384 imaging method Methods 0.000 claims description 7
- 230000010485 coping Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000012417 linear regression Methods 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 238000012216 screening Methods 0.000 claims description 2
- 230000004044 response Effects 0.000 abstract description 2
- 238000000034 method Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 4
- 238000002485 combustion reaction Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 230000002269 spontaneous effect Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- -1 for example Substances 0.000 description 1
- 239000008187 granular material Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G15/00—Conveyors having endless load-conveying surfaces, i.e. belts and like continuous members, to which tractive effort is transmitted by means other than endless driving elements of similar configuration
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
- B65G43/08—Control devices operated by article or material being fed, conveyed or discharged
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/04—Detection means
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/04—Detection means
- B65G2203/041—Camera
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Control Of Conveyors (AREA)
Abstract
The invention discloses an intelligent protection and early warning system of a belt conveyor based on intelligent chip control, which relates to the technical field of belt conveyors, and is used for detecting the movement state of the belt, establishing a first state data set and forming a first safety coefficient Oas; monitoring the state of the coal on the conveyor belt, and establishing a second state data set to determine a second safety coefficient Tas; when the first safety coefficient Oas and the second safety coefficient Tas are smaller than the corresponding threshold values, acquiring a comprehensive safety coefficient Zas in a correlation way, and fitting a function based on a plurality of comprehensive safety coefficients Zas; forming a prediction for the belt running parameters according to the formed predicted value of the safety coefficient Zas and the corresponding hidden danger time point Yt; and respectively constructing a fault feature library and a fault scheme library, determining that the belt possibly has faults at the hidden danger time point Yt, outputting a corresponding response scheme, predicting whether the potential safety hazards are possibly generated during belt transportation, and outputting possible risk parameters when the potential safety hazards are possibly generated, wherein the early warning information is clearer and more definite.
Description
Technical Field
The invention relates to the technical field of belt conveyors, in particular to an intelligent protection and early warning system of a belt conveyor based on intelligent chip control.
Background
The belt conveyor is a short-term belt conveyor, and has the advantages of fixed type and movable type, simple structure and high efficiency, and is a continuous conveying machine for carrying and pulling the crop by using a flexible conveying belt. The materials are placed on the upper branch, and the friction force between the driving roller and the belt is utilized to drag the conveying belt and the materials to run. The conveyor is suitable for conveying granular materials and finished articles in horizontal and inclined directions, for example, coal lump coal materials are conveyed on a coal mine.
With the development of chips and intelligent control technologies, the automation degree of the operation of the belt conveyor is better.
However, when the belt conveyor is used for transporting coal, for example, smoke is generated by friction between the driving roller and the adhesive tape, breakage or spontaneous combustion may occur when the belt conveyor is serious, or when the belt conveyor has speed change, the position of the coal mine is changed under the action of inertia, and particularly the belt conveyor is damaged when the coal mine penetrates into the belt conveyor.
However, the existing belt conveyor lacks an early warning system, and can only passively process when faults or potential safety hazards are generated, but cannot actively perform early warning and provide corresponding solving strategies.
Therefore, the intelligent protection early warning system for the belt conveyor based on the intelligent chip control is provided.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides an intelligent protection and early warning system of a belt conveyor based on intelligent chip control, which is used for detecting the motion state of a belt, establishing a first state data set and forming a first safety coefficient Oas; monitoring the state of the coal on the conveyor belt, and establishing a second state data set to determine a second safety coefficient Tas; when the first safety coefficient Oas and the second safety coefficient Tas are smaller than the corresponding threshold values, acquiring a comprehensive safety coefficient Zas in a correlation way, and fitting a function based on a plurality of comprehensive safety coefficients Zas; forming a prediction for the belt running parameters according to the formed predicted value of the safety coefficient Zas and the corresponding hidden danger time point Yt; and respectively constructing a fault feature library and a fault scheme library, determining that the belt possibly has faults at the hidden trouble time Yt, and outputting a corresponding response scheme. The method has the advantages that whether potential safety hazards are possibly generated during belt transportation is predicted, risk parameter output is possibly generated when the potential safety hazards are possibly generated, early warning information is clearer and more definite, and the problem in the background technology is solved.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: the intelligent belt conveyor protection and early warning system based on intelligent chip control comprises the steps of detecting the motion state of a belt when the belt is in the motion state, establishing a first state data set, forming a first safety coefficient Oas, and judging the safety state of the current belt; when the belt is loaded with coal blocks exceeding a threshold weight, monitoring the state of the coal blocks on the conveying belt, establishing a second state data set, determining a second safety coefficient Tas, and judging the current belt safety state;
when the first safety coefficient Oas and the second safety coefficient Tas are smaller than the corresponding threshold values, acquiring the comprehensive safety coefficients Zas in a correlation way, fitting a function based on a plurality of comprehensive safety coefficients Zas, and outputting the fitted function; predicting the comprehensive safety coefficient Zas according to a Zas fitting function, and predicting the belt running parameters according to the formed safety coefficient Zas predicted value and the corresponding hidden danger time point Yt to obtain a parameter predicted value;
according to common faults and corresponding schemes thereof existing when the belt conveys coal blocks, a fault characteristic library and a fault scheme library are respectively constructed, after early warning is sent out, the potential faults of the belt at hidden danger time Yt are determined, and corresponding schemes are output.
Further, when the belt is in a motion state, the motion speed Pv of the belt is obtained, when the motion speed Pv exceeds a corresponding threshold value, a machine vision device positioned above the belt is started, the belt and coal blocks borne on the surface of the belt are imaged, and a coal block imaging library is built according to the obtained images; acquiring images from a coal block imaging library, identifying the images, and judging the transverse offset Py and the longitudinal sliding quantity Hd of the coal block above the belt; and summarizing the motion speed Pv, the offset Py and the sliding quantity Hd, and establishing a first state data set.
Further, obtaining a motion speed Pv, an offset Py and a sliding quantity Hd, and correlating to form a first safety coefficient Oas after dimensionless treatment; the first safety factor Oas is obtained according to the following formula:
wherein, alpha and beta are parameters of changeable constants, alpha is more than or equal to 0.51 and less than or equal to 0.76,0.61 and beta is more than or equal to 0.93, a user can adjust according to actual conditions, and C is a constant correction coefficient.
Further, when the belt is loaded with coal blocks, the weight detection unit obtains the coal block bearing capacity Czl on the belt, and when the bearing capacity Czl is larger than a threshold value, the temperature detection unit detects the temperature of the joint of the roller and the adhesive tape, determines the temperature as the adhesive tape temperature, screens out the highest temperature in a plurality of adhesive tape temperatures, and obtains the temperature change rate Tb according to the change trend of the highest temperature;
when the difference value between the highest temperature and the temperature threshold value is within a preset range, judging whether the joint of the roller and the adhesive tape is emitting smoke to the outside by a smoke detection device, and if the smoke is emitted to the outside, acquiring the quantity of generated smoke to form a smoke quantity Tw; when the smoke quantity Tw is large, the adhesive tape obviously has the risks of deformation, fracture and even spontaneous combustion, and has great potential safety hazards; the load capacity Czl, the temperature change rate Tb, and the smoke amount Tw are acquired, and a second state data set is established.
Further, acquiring a bearing capacity Czl, a temperature change rate Tb and a smoke quantity Tw, and performing dimensionless treatment to form a second safety coefficient Tas in a correlation manner; the second safety factor Tas is formed as follows:
wherein, gamma is more than or equal to 0 and less than or equal to 1, theta is more than or equal to 0 and less than or equal to 1, and gamma+theta is more than or equal to 1.25 and less than or equal to 1.85, and gamma and theta are weights, and the specific values can be adjusted and set by a user or generated by fitting an analysis function.
Further, a first safety coefficient Oas and a second safety coefficient Tas are obtained, and when at least one of the two safety coefficients exceeds a threshold value, an early warning is sent to the outside; when both the two are not beyond the threshold value, acquiring a comprehensive safety coefficient Zas in a correlation way; several sets of integrated safety coefficients Zas are obtained at fixed time intervals JT along the time axis, the functions are fitted according to the change of the integrated safety coefficients Zas, after the K-S verification, the fitted functions are output, and the fitted functions are recorded as Zas fitting functions.
Further, the integrated security factor Zas is formed as follows:
wherein k is 0.ltoreq.k 1 ≤1，0≤k 2 Not more than 1, and k 1 2 +k 2 2 ＝1，k 2 、k 1 The specific value of the weight is adjustable and set by a user;
wherein Oas i Is the expected intermediate value of the first security coefficient Oas, tas i For the expected intermediate value of the second security coefficient Tas, n is the number of times the first security coefficient Oas and the second security coefficient Tas are obtained.
Further, a Zas fitting function is obtained to form a prediction on the change of the comprehensive safety coefficient Zas, and at least three predicted values of the safety coefficient Zas are output at fixed time intervals JT; and when at least two of the three subsequent predicted values of the safety coefficient Zas exceed the warning threshold value, sending an early warning to the outside.
Further, a time point output in which potential safety hazards are possibly generated is determined as a potential hazard time point Yt, and at the potential hazard time point Yt, predictions are formed for parameters in the first state data set and the second state data set according to a linear regression model, so that parameter predicted values are obtained.
Further, a fault feature library is constructed according to common faults and fault features of belt transportation, wherein the fault feature library at least comprises parameters in a first state data set and a second state data set, corresponding fault solutions are collected according to the fault features, and a fault solution library is built after summarization; and acquiring a parameter predicted value at the hidden danger time point Yt, determining the parameter predicted value as a fault characteristic when the parameter predicted value exceeds a corresponding threshold value, and matching a corresponding coping scheme from a fault scheme library when the fault characteristic appears in the fault characteristic library.
(III) beneficial effects
The invention provides an intelligent protection and early warning system of a belt conveyor based on intelligent chip control. The beneficial effects are as follows:
according to the distribution of the first safety coefficient Oas, the state of the coal blocks on the belt is evaluated, when the first safety coefficient Oas exceeds a corresponding threshold value, the condition that certain potential safety hazards exist in the coal blocks transported on the belt is indicated, timely treatment is needed, early warning is sent to the outside, and the transportation safety is improved;
when the bearing capacity Czl is larger than a threshold value, the safety of the belt is evaluated at the angle of the bearing capacity Czl, and when potential safety hazards exist, an early warning is sent to the outside, so that the potential safety hazards can be timely processed, and eliminated; when the distance to be transmitted is too long, the risk of belt faults can be effectively reduced;
the comprehensive safety coefficients Zas are formed in a correlation mode, and the comprehensive safety coefficients Zas are predicted to form a comprehensive early warning mechanism; based on the obtained predicted value of the safety coefficient Zas, predicting whether potential safety hazards possibly occur during belt transportation, outputting generated risk parameters and giving out early warning when the potential safety hazards exist, wherein early warning information is clearer and more definite, and a user can process the potential safety hazards in a targeted manner;
based on the established fault feature library and fault scheme library, after the possible risk parameters are output, corresponding fault features are matched from the fault feature library, and further the corresponding fault scheme library is matched, when early warning is completed, corresponding solutions can be output together, and a user can solve the impending fault; thereby increasing the solving speed when the fault comes.
Drawings
FIG. 1 is a schematic flow chart of an intelligent protection and early warning system of a belt conveyor;
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a belt conveyor intelligent protection early warning system based on chip intelligent control, which comprises the following steps:
detecting the motion state of the belt when the belt is in the motion state, establishing a first state data set, forming a first safety coefficient Oas, and judging the safety state of the current belt;
the first step comprises the following steps:
step 101, when the belt is in a motion state, acquiring the motion speed Pv of the belt, when the motion speed Pv exceeds a corresponding threshold value, starting a machine vision device positioned above the belt, imaging the belt and coal blocks carried on the surface of the belt, and establishing a coal block imaging library according to the acquired images;
102, acquiring images from a coal block imaging library, identifying the images, and judging the transverse offset Py and the longitudinal sliding quantity Hd of the coal block above the belt;
summarizing the motion speed Pv, the offset Py and the sliding quantity Hd, and establishing a first state data set;
step 103, obtaining a motion speed Pv, an offset Py and a sliding quantity Hd, and correlating to form a first safety coefficient Oas after dimensionless treatment;
the first security coefficient Oas is obtained according to the following formula:
wherein, alpha and beta are parameters of changeable constants, alpha is more than or equal to 0.51 and less than or equal to 0.76,0.61 and beta is more than or equal to 0.93, a user can adjust according to actual conditions, and C is a constant correction coefficient.
In use, the contents of steps 101 to 103,
when the movement speed Pv exceeds a corresponding threshold value, a first safety coefficient Oas is formed, the state of the coal blocks on the belt is evaluated according to the distribution of the first safety coefficient Oas, when the first safety coefficient Oas exceeds the corresponding threshold value, the fact that certain potential safety hazards exist in the coal blocks transported on the belt is indicated, timely treatment is needed, for example, the transportation speed of the belt is reduced, and at the moment, the transportation safety can be improved by sending early warning to the outside.
Step two, when the belt carries the coal blocks exceeding the threshold weight, monitoring the state of the coal blocks on the conveying belt, establishing a second state data set, determining a second safety coefficient Tas, and judging the safety state of the current belt;
the second step comprises the following steps:
step 201, when coal blocks are loaded on the belt, acquiring the loading capacity Czl of the coal blocks on the belt by a weight detection unit, and when the loading capacity Czl is greater than a threshold value, detecting the temperature of the joint of the roller and the adhesive tape by a temperature detection unit, and determining the temperature as the temperature of the adhesive tape;
screening out the highest temperature in the temperatures of a plurality of adhesive tapes, and acquiring a temperature change rate Tb according to the change trend of the highest temperature; by forming the temperature change rate Tb, the process can be performed in time.
Step 202, when the difference value between the highest temperature and the temperature threshold value is within a preset range, judging whether the joint of the roller and the adhesive tape emits smoke to the outside or not by a smoke detection device, and if so, acquiring the quantity of smoke generated to form a smoke quantity Tw; when the smoke quantity Tw is large, the adhesive tape obviously has the risks of deformation, fracture and even spontaneous combustion, and has great potential safety hazards;
acquiring a bearing capacity Czl, a temperature change rate Tb and a smoke quantity Tw, and establishing a second state data set;
step 203, obtaining the bearing capacity Czl, the temperature change rate Tb and the smoke quantity Tw, and correlating the obtained products to form a second safety coefficient Tas after dimensionless treatment;
the second safety factor Tas is formed as follows:
wherein, gamma is more than or equal to 0 and less than or equal to 1, theta is more than or equal to 0 and less than or equal to 1, and gamma+theta is more than or equal to 1.25 and less than or equal to 1.85, and gamma and theta are weights, and the specific values can be adjusted and set by a user or generated by fitting an analysis function.
In use, the contents of steps 201 to 203 are combined:
forming a second safety coefficient Tas on the basis of the bearing capacity Czl, the temperature change rate Tb and the smoke quantity Tw, and when the bearing capacity Czl is larger than a threshold value, evaluating the safety of the belt at the angle of the bearing capacity Czl, and when potential safety hazards exist, giving an early warning to the outside, so that the potential safety hazards can be timely processed and eliminated; for example, when the distance required to be transmitted is too long, the risk of belt faults can be effectively reduced.
Step three, when the first safety coefficient Oas and the second safety coefficient Tas are smaller than the corresponding threshold values, acquiring a comprehensive safety coefficient Zas in a correlation way, and outputting a fitted function based on a plurality of Zas fitting functions of the comprehensive safety coefficients;
the third step comprises the following steps:
step 301, acquiring a first safety coefficient Oas and a second safety coefficient Tas, and sending an early warning to the outside when at least one of the two safety coefficients exceeds a threshold value; when both the two are not beyond the threshold value, acquiring a comprehensive safety coefficient Zas in a correlation way;
it should be noted that, the first safety coefficient Oas and the second safety coefficient Tas are both in a continuously acquired state;
for example, say: first safety factor Oas 1 、Oas 2 、Oas 3 Oas n-1 、Oas n The method comprises the steps of carrying out a first treatment on the surface of the And a second safety factor Tas 1 、Tas 2 、Tas 3 Tas n-1 、Tas n ；
The integrated safety factor Zas (O, T) is formed as follows:
wherein k is 0.ltoreq.k 1 ≤1，0≤k 2 Not more than 1, and k 1 2 +k 2 2 ＝1，k 2 、k 1 The specific value of the weight is adjustable and set by a user;
wherein Oas i Is the expected intermediate value of the first security coefficient Oas, tas i For the expected intermediate value of the second security coefficient Tas, n is the number of times the first security coefficient Oas and the second security coefficient Tas are obtained.
Step 302, obtaining a plurality of sets of comprehensive safety coefficients Zas at fixed time intervals JT along a time axis, performing function fitting according to the change of the comprehensive safety coefficients Zas, outputting the fitted function after the K-S verification, and recording the fitted function as a Zas fitting function.
When the safety warning system is used, early warning is sent to the outside preferentially according to the distribution of the first safety coefficient Oas and the second safety coefficient Tas, if no large potential safety hazard is found in the first safety coefficient Oas and the second safety coefficient Tas, the safety warning system is related to form a comprehensive safety coefficient Zas, and the comprehensive safety coefficient Zas is predicted to form a comprehensive early warning mechanism.
Fourth, predicting the comprehensive safety coefficient Zas according to a Zas fitting function, and predicting the belt running parameters according to the formed safety coefficient Zas predicted value and the corresponding hidden danger time point Yt to obtain a parameter predicted value;
the fourth step comprises the following steps:
step 401, obtaining Zas fitting function to form prediction for the change of the comprehensive safety coefficient Zas, and outputting at least three predicted values of the safety coefficient Zas at fixed time intervals JT; when at least two of the three follow-up predicted values of the safety coefficient Zas exceed the warning threshold value, an early warning is sent to the outside;
and step 402, outputting a time point at which potential safety hazards are likely to occur, determining the time point as a potential hazard time point Yt, and forming predictions for parameters in the first state data set and the second state data set according to a linear regression model at the potential hazard time point Yt to obtain parameter predicted values.
When the belt conveying system is used, based on the obtained predicted value of the safety coefficient Zas, whether potential safety hazards possibly occur during belt conveying can be predicted, if the potential safety hazards possibly exist, risk parameter output possibly occurs, and when early warning is sent out, early warning information is clearer and more definite, and a user can process in a targeted mode.
Step five, respectively constructing a fault characteristic library and a fault scheme library according to common faults and corresponding schemes thereof existing when the belt conveys coal blocks, determining that the belt possibly has faults at hidden danger time Yt after early warning is sent out, and outputting corresponding schemes.
The fifth step comprises the following steps:
step 501, constructing a fault feature library according to common faults and fault features of belt transportation, wherein the fault feature library at least comprises parameters in a first state data set and a second state data set, such as overspeed, coal block offset, smoke generation and the like, collecting corresponding fault solutions according to the fault features, and building a fault solution library after summarizing;
step 502, obtaining a parameter predicted value at a hidden trouble time point Yt, determining the parameter predicted value as a fault feature when the parameter predicted value exceeds a corresponding threshold value, and matching a corresponding coping scheme from a fault scheme library when the fault feature appears in the fault feature library.
When the system is used, based on the established fault feature library and fault scheme library, after possible risk parameters are output, corresponding fault features are matched from the fault feature library, and further corresponding fault scheme libraries are matched, when early warning is completed, corresponding solutions can be output together, and a user can solve the impending fault; thereby increasing the solving speed when the fault comes.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention, but to enable any modification, equivalent or improvement to be made without departing from the spirit and principles of the invention.
Claims (10)
1. Belt feeder intelligent protection early warning system based on chip intelligent control, its characterized in that: comprising the steps of (a) a step of,
when the belt is in a motion state, detecting the motion state of the belt, establishing a first state data set, forming a first safety coefficient Oas, and judging the safety state of the current belt;
when the belt is loaded with coal blocks exceeding a threshold weight, monitoring the state of the coal blocks on the conveying belt, establishing a second state data set, determining a second safety coefficient Tas, and judging the current belt safety state;
when the first safety coefficient Oas and the second safety coefficient Tas are smaller than the corresponding threshold values, acquiring the comprehensive safety coefficients Zas in a correlation way, fitting a function based on a plurality of comprehensive safety coefficients Zas, and outputting the fitted function;
predicting the comprehensive safety coefficient Zas according to a Zas fitting function, and predicting the belt running parameters according to the formed safety coefficient Zas predicted value and the corresponding hidden danger time point Yt to obtain a parameter predicted value;
according to common faults and corresponding schemes thereof existing when the belt conveys coal blocks, a fault characteristic library and a fault scheme library are respectively constructed, after early warning is sent out, the potential faults of the belt at hidden danger time Yt are determined, and corresponding schemes are output.
2. The intelligent protection and early warning system of the belt conveyor based on intelligent chip control according to claim 1, wherein the intelligent protection and early warning system is characterized in that: when the belt is in a motion state, the motion speed Pv of the belt is obtained, when the motion speed Pv exceeds a corresponding threshold value, a machine vision device positioned above the belt is started, the belt and coal blocks borne on the surface of the belt are imaged, and a coal block imaging library is built according to the obtained images;
acquiring images from a coal block imaging library, identifying the images, and judging the transverse offset Py and the longitudinal sliding quantity Hd of the coal block above the belt; and summarizing the motion speed Pv, the offset Py and the sliding quantity Hd, and establishing a first state data set.
3. The intelligent protection and early warning system of the belt conveyor based on intelligent chip control according to claim 2, wherein: acquiring a motion speed Pv, an offset Py and a sliding quantity Hd, and correlating to form a first safety coefficient Oas after dimensionless treatment; the first safety factor Oas is obtained according to the following formula:
wherein, alpha and beta are parameters of changeable constants, alpha is more than or equal to 0.51 and less than or equal to 0.76,0.61 and beta is more than or equal to 0.93, a user can adjust according to actual conditions, and C is a constant correction coefficient.
4. The intelligent protection and early warning system of the belt conveyor based on intelligent chip control according to claim 1, wherein the intelligent protection and early warning system is characterized in that: when the belt is loaded with coal blocks, acquiring the bearing capacity Czl of the coal blocks on the belt by a weight detection unit, detecting the temperature of the joint of the roller and the adhesive tape by a temperature detection unit when the bearing capacity Czl is larger than a threshold value, determining the temperature as the temperature of the adhesive tape, screening out the highest temperature of a plurality of adhesive tape temperatures, and acquiring a temperature change rate Tb according to the change trend of the highest temperature;
when the difference value between the highest temperature and the temperature threshold value is within a preset range, judging whether the joint of the roller and the adhesive tape is emitting smoke to the outside by a smoke detection device, and if so, acquiring the quantity of smoke to form a smoke quantity Tw;
the load capacity Czl, the temperature change rate Tb, and the smoke amount Tw are acquired, and a second state data set is established.
5. The intelligent protection and early warning system of the belt conveyor based on intelligent chip control according to claim 4, wherein the intelligent protection and early warning system is characterized in that: acquiring a bearing capacity Czl, a temperature change rate Tb and a smoke quantity Tw, and performing dimensionless treatment to form a second safety coefficient Tas in a correlation manner;
the second safety factor Tas is formed as follows:
wherein, gamma is more than or equal to 0 and less than or equal to 1, theta is more than or equal to 0 and less than or equal to 1, and gamma+theta is more than or equal to 1.25 and less than or equal to 1.85, and gamma and theta are weights, and the specific values can be adjusted and set by a user or generated by fitting an analysis function.
6. The intelligent protection and early warning system of the belt conveyor based on intelligent chip control according to claim 1, wherein the intelligent protection and early warning system is characterized in that: acquiring a first safety coefficient Oas and a second safety coefficient Tas, and sending an early warning to the outside when at least one of the two safety coefficients exceeds a threshold value; when both the two are not beyond the threshold value, acquiring a comprehensive safety coefficient Zas in a correlation way;
several sets of integrated safety coefficients Zas are obtained at fixed time intervals JT along the time axis, the functions are fitted according to the change of the integrated safety coefficients Zas, after the K-S verification, the fitted functions are output, and the fitted functions are recorded as Zas fitting functions.
7. The intelligent protection and early warning system of the belt conveyor based on intelligent chip control according to claim 6, wherein the intelligent protection and early warning system is characterized in that: the overall safety factor Zas is formed as follows:
wherein k is 0.ltoreq.k 1 ≤1，0≤k 2 Not more than 1, and k 1 2 +k 2 2 ＝1，k 2 、k 1 The specific value of the weight is adjustable and set by a user;
wherein Oas i Is the expected intermediate value of the first security coefficient Oas, tas i For the expected intermediate value of the second security coefficient Tas, n is the number of times the first security coefficient Oas and the second security coefficient Tas are obtained.
8. The intelligent protection and early warning system of the belt conveyor based on intelligent chip control according to claim 6, wherein the intelligent protection and early warning system is characterized in that: acquiring Zas fitting functions to form predictions on the changes of the comprehensive safety coefficients Zas, and outputting at least three safety coefficient Zas predicted values at fixed time intervals JT; and when at least two of the three subsequent predicted values of the safety coefficient Zas exceed the warning threshold value, sending an early warning to the outside.
9. The intelligent protection and early warning system of the belt conveyor based on intelligent chip control according to claim 8, wherein the intelligent protection and early warning system is characterized in that: and outputting a time point at which potential safety hazards are likely to occur, determining the time point as a potential hazard time point Yt, and forming predictions for parameters in the first state data set and the second state data set according to a linear regression model at the potential hazard time point Yt to obtain parameter predicted values.
10. The intelligent protection and early warning system of the belt conveyor based on intelligent chip control according to claim 1, wherein the intelligent protection and early warning system is characterized in that: constructing a fault feature library according to common faults and fault features of belt transportation,
the fault characteristic library at least comprises parameters in a first state data set and a second state data set, corresponding fault solutions are collected according to the fault characteristics, and a fault scheme library is built after summarization;
and acquiring a parameter predicted value at the hidden danger time point Yt, determining the parameter predicted value as a fault characteristic when the parameter predicted value exceeds a corresponding threshold value, and matching a corresponding coping scheme from a fault scheme library when the fault characteristic appears in the fault characteristic library.
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