CN114632616B - Jaw crusher capable of automatically adjusting optimal efficiency and control method thereof - Google Patents
Jaw crusher capable of automatically adjusting optimal efficiency and control method thereof Download PDFInfo
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- CN114632616B CN114632616B CN202210547791.4A CN202210547791A CN114632616B CN 114632616 B CN114632616 B CN 114632616B CN 202210547791 A CN202210547791 A CN 202210547791A CN 114632616 B CN114632616 B CN 114632616B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C25/00—Control arrangements specially adapted for crushing or disintegrating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B02—CRUSHING, PULVERISING, OR DISINTEGRATING; PREPARATORY TREATMENT OF GRAIN FOR MILLING
- B02C—CRUSHING, PULVERISING, OR DISINTEGRATING IN GENERAL; MILLING GRAIN
- B02C1/00—Crushing or disintegrating by reciprocating members
- B02C1/02—Jaw crushers or pulverisers
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Abstract
The invention relates to the technical field of engineering machinery, in particular to a jaw crusher capable of automatically adjusting optimal efficiency and a control method thereof. The method obtains crusher operation data under different working environments, obtains an optimal operation temperature sequence under each working environment according to the crusher operation data, and groups the working environments according to the optimal operation temperature sequence to obtain similar working environment groups. And keeping the reference temperature constant in the same type of working environment group to obtain a crushing efficiency change sequence. And obtaining the data confidence of each reference temperature according to the difference distance between each crushing efficiency change sequence. And obtaining the optimal crushing efficiency corresponding to the reference temperature according to the data confidence. And selecting according to each reference temperature and the optimal crushing efficiency to obtain the integral optimal crushing efficiency and the corresponding optimal reference temperature. The jaw crusher is controlled by a controller to operate at an overall optimum crushing efficiency and an optimum reference temperature. The invention realizes the operation of the jaw crusher with optimal efficiency by automatically adjusting the working environment.
Description
Technical Field
The invention relates to the technical field of engineering machinery, in particular to a jaw crusher capable of automatically adjusting optimal efficiency and a control method thereof.
Background
Jaw crushers are commonly called as jaw crushers and are also called as tiger mouths. The crushing cavity is composed of two jaw plates of a movable jaw and a static jaw, and the two jaws of an animal are simulated to move so as to finish the crushing operation of the material. The crusher is widely applied to crushing of various ores and large materials in the industries of mine smelting, building materials, highways, railways, water conservancy, chemical engineering and the like. When the jaw crusher works, the movable jaw plate performs periodic reciprocating motion on the fixed jaw plate, the movable jaw plate approaches to the fixed jaw plate sometimes and leaves from the fixed jaw plate sometimes, and when the movable jaw plate approaches to the fixed jaw plate, materials are extruded, split and impacted between the two jaw plates to be crushed; when the crushed material leaves, the crushed material is discharged from the discharge opening under the action of gravity, so that the crushing process is realized.
During the operation of the jaw crusher, the components such as the wheel shaft and the like generate friction heat along with the movement of the components, and the temperature inside the crusher can be increased by the heat generated by electrification, so that the operation of the machine is influenced. There is thus an effective temperature range for each crusher during operation. However, because the crusher is widely applied and various in reference environment, the external environment affects the heat dissipation condition of the crusher, so that the effective temperature range is not determined, and an optimal temperature range cannot be obtained to operate the crusher, thereby maximizing the efficiency of the crusher.
Disclosure of Invention
In order to solve the above technical problems, an object of the present invention is to provide a jaw crusher capable of automatically adjusting an optimal efficiency and a control method thereof, wherein the jaw crusher adopts the following technical scheme:
the invention provides a jaw crusher, which comprises a jaw crusher body, wherein the jaw crusher body comprises a movable jaw plate, a spring and a fixed jaw plate, the spring is fixedly assembled and connected with the fixed jaw plate, the jaw crusher also comprises a jaw crusher control system, and the jaw crusher control system comprises a controller, and a spring tensioning degree detector, a jaw crusher eccentric shaft main wheel rotation frequency detector and a jaw crusher body temperature detector which are connected with signals of the controller;
the jaw crusher eccentric shaft main wheel rotation frequency detector is used for detecting the rotation frequency of a jaw crusher eccentric shaft main wheel, and the jaw crusher body temperature detector is used for detecting the temperature of a jaw crusher body;
the controller obtains a tensioning degree sequence of a spring, a rotation frequency sequence of a main wheel of the eccentric shaft and a temperature sequence of a bearing which normally run in different working environments under each gear according to preset sampling time; obtaining a crushing efficiency sequence according to the tensioning degree sequence and the rotation frequency sequence; obtaining the maximum crushing efficiency according to the crushing efficiency sequence; counting the temperature which can reach the maximum crushing efficiency under each working environment to obtain an optimal operation temperature sequence; grouping the working environments according to the similarity between the optimal operating temperature sequences of different working environments to obtain similar working environment groups; in the same type of working environment group, keeping the temperature in the temperature sequence unchanged, and obtaining a crushing efficiency change sequence at each temperature; obtaining a difference distance between the crushing efficiency change sequences corresponding to each temperature; obtaining data confidence according to the sum of difference distances between each temperature and other temperatures; taking the product of the data confidence and the maximum crushing efficiency in the crushing efficiency change sequence as the optimal crushing efficiency at the temperature; obtaining the integral optimal crushing efficiency and the corresponding optimal reference temperature according to each temperature and the corresponding optimal crushing efficiency; and controlling the operation of the jaw crusher according to the optimal reference temperature and the integral optimal crushing efficiency.
The invention also proposes a method of controlling a jaw crusher for automatically adjusting the optimum efficiency, said method comprising:
acquiring a tensioning degree sequence of a spring, a rotation frequency sequence of an eccentric shaft main wheel and a temperature sequence of a bearing which normally run in different working environments according to preset sampling time;
obtaining a crushing efficiency sequence according to the tensioning degree sequence and the rotation frequency sequence; counting the temperature which can reach the maximum crushing efficiency under each working environment according to the crushing efficiency sequence to obtain an optimal operation temperature sequence; grouping the working environments according to the difference degree between the optimal operation temperature sequences of different working environments to obtain similar working environment groups;
obtaining a preset reference temperature sequence; in the same type of working environment group, keeping the reference temperature in the reference temperature sequence unchanged, and obtaining a crushing efficiency change sequence at each reference temperature; obtaining a difference distance between the crushing efficiency change sequences corresponding to each reference temperature; obtaining data confidence according to the accumulated sum of the difference distances between each reference temperature and other reference temperatures; taking the product of the data confidence coefficient and the maximum crushing efficiency in the crushing efficiency change sequence as the optimal crushing efficiency at the reference temperature;
obtaining the integral optimal crushing efficiency and the corresponding optimal reference temperature according to each reference temperature and the corresponding optimal crushing efficiency in each similar working environment group; and controlling the operation of the jaw crusher according to the optimal reference temperature and the integral optimal crushing efficiency.
Further, the obtaining of the crushing efficiency sequence according to the sequence of the degrees of tension and the sequence of the rotation frequencies comprises:
obtaining the tensioning degree sequence and the rotation frequency sequence at each sampling time according to a preset sampling frequency in each sampling time; and taking the product of the extreme difference between the maximum value and the minimum value in the tensioning degree sequence and the average value of the rotation frequency sequence as a crushing efficiency index to obtain the crushing efficiency sequence.
Further, obtaining the temperature sequence of the bearing further comprises:
fitting a temperature curve according to the temperature sequence; and taking the reciprocal of the maximum slope in the temperature curve as an index of the working environment.
Further, obtaining a degree of difference between the optimal operating temperature sequences for different of the operating environments comprises:
obtaining the difference degree according to a difference degree formula; the degree of difference formula includes:
wherein, the first and the second end of the pipe are connected with each other,
to be the extent of the difference in the above-mentioned degree,
for the calculation formula of the pearson coefficient,
as a working environment
Is determined by the optimum operating temperature sequence of the engine,
as a working environment
Is determined by the optimum operating temperature sequence of the engine,
is composed of
The very poor quality of (a) is,
is composed of
The very poor quality of (a) is,
is composed of
The standard deviation of (a) is determined,
is composed of
Standard deviation of (d).
Further, the grouping the working environments according to the difference degree between the optimal operating temperature sequences of different working environments to obtain similar working environment groups includes:
and grouping the working environments by using a density clustering algorithm according to the difference degree to obtain a plurality of similar working environment groups.
Further, the obtaining a difference distance between the crushing efficiency variation sequences corresponding to each of the reference temperatures comprises:
and obtaining the difference distance between the crushing efficiency change sequences corresponding to each reference temperature according to a dynamic time warping algorithm.
Further, the obtaining a data confidence according to the accumulated sum of the difference distance between each reference temperature and other reference temperatures comprises:
obtaining the data confidence according to a data confidence formula; the data confidence formula includes:
wherein the content of the first and second substances,
for the purpose of the confidence level of the data,
is the accumulated sum of the normalized difference distances.
Further, the obtaining of the overall optimal crushing efficiency and the corresponding optimal reference temperature according to each reference temperature and the corresponding optimal crushing efficiency in each group of similar working environments comprises:
constructing a reference temperature-crushing efficiency curve according to each reference temperature and the corresponding optimal crushing efficiency in each same type working environment group; the horizontal axis of the reference temperature-crushing efficiency curve is the reference temperature, and the vertical axis is the optimal crushing efficiency; and obtaining an extreme point of the reference temperature-crushing efficiency curve, and using the reference temperature and the optimal crushing efficiency within the preset selection range of the extreme point as the optimal reference temperature and the overall optimal crushing efficiency.
The embodiment of the invention at least has the following beneficial effects:
1. according to the embodiment of the invention, the maximum crushing efficiency under each working environment is determined by obtaining the operation data of the crusher. And grouping the working environments according to the optimal operating temperature sequence which can reach the maximum crushing efficiency under each working environment to obtain the similar working environment group. The working environments with the same working characteristics can be jointly analyzed in a grouping mode, the calculated amount is reduced, and the control of a follow-up crusher is facilitated.
2. According to the embodiment of the invention, the data confidence is obtained according to the difference distance between the crushing efficiency change sequence at each reference temperature and the crushing efficiency change sequences at other reference temperatures in each similar working environment group. Because the temperature of the crusher can rise along with the rise of the crushing efficiency in the working process, but the crushing efficiency can not rise after the temperature reaches a certain degree, and the crushing efficiency can be reduced in order to ensure the safety of the machine. Therefore, the difference distance can represent the adaptability of the crusher to each reference temperature, that is, the variation trend of the crushing efficiency variation sequence is the same in a proper and stable temperature range, so that the efficiency corresponding to each reference temperature can be adjusted according to the data confidence, and an index with strong reference is obtained for obtaining the subsequent optimal reference temperature and the overall optimal crushing efficiency, and controlling the crusher.
Drawings
FIG. 1 is a control schematic of a jaw crusher of the type provided by the present invention which automatically adjusts for optimum efficiency;
fig. 2 is a flow chart of a control method of the jaw crusher for automatically adjusting the optimum efficiency according to the present invention.
Detailed Description
To further illustrate the technical means and effects of the present invention for achieving the predetermined objects, the following detailed description of the edge detection method based on image multidimensional analysis, its specific implementation, structure, features and effects will be given below with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" refers to not necessarily the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
A jaw crusher with automatic adjustment of optimum efficiency includes a jaw crusher body and a jaw crusher control system.
The jaw crusher body may be conventional jaw crusher equipment, in this embodiment, the jaw crusher body includes movable jaw, spring and fixed jaw fixed fit connection. The spring is a spring in the spring pull rod. Since the jaw crusher equipment is common jaw crusher equipment, the structural composition, the working principle and the working process of the jaw crusher equipment are not described in detail.
As shown in fig. 1, the jaw crusher control system comprises a controller 101, and a spring tension level detector 102, a jaw crusher eccentric shaft main wheel rotation frequency detector 103 and a jaw crusher body temperature detector 104 in signal connection with the controller.
The spring tension detector 102 is used to detect the tension of the spring, and may be a conventional sensor for detecting the tension of the spring. A jaw crusher eccentric shaft main wheel rotational frequency detector 103 is used to detect the rotational frequency of the jaw crusher eccentric shaft and a jaw crusher body temperature detector 104 is used to detect the temperature of the jaw crusher body. The controller 101 may be a conventional control chip for computing and controlling purposes, such as a single chip.
It should be noted that the jaw crusher is simply referred to as a crusher in the course of the following description. The crusher usually comprises a plurality of gears, each gear corresponds to different crushing efficiencies, because the analysis process of each gear is the same, the default is to analyze the operation process of the crusher under one gear in the subsequent process, and each gear can be analyzed according to the same analysis algorithm in other implementation processes.
The controller performs a method of controlling the jaw crusher, which automatically adjusts the optimum efficiency, as shown in fig. 2, on the basis of the respective data information received. The control method of the jaw crusher comprises the following specific steps:
step S1: and obtaining a tensioning degree sequence of the spring, a rotation frequency sequence of the eccentric shaft main wheel and a temperature sequence of the bearing which normally run in different working environments according to preset sampling time.
Different working environments can affect the heat dissipation of the crusher, and the temperature change process of the crusher is different. For example, in a strong wind environment, the airflow flux in the crusher is increased along with the material entering the crusher, so that the temperature rise of the crusher is slowed down; in the cold winter environment, due to the influence of the external temperature, the heat conduction of the crusher is fast, and the temperature rise of the crusher is slow. Therefore, the working data in each working environment needs to be analyzed to select the most suitable temperature for working. In the embodiment of the invention, in order to obtain the operation data under different working environments, various working environments can be simulated according to parameters such as air pressure, air speed and temperature, and data acquisition is carried out.
In the embodiment of the invention, the spring tension degree detector is a strain sensor, is connected with the spring, and can obtain a large amount of spring tension degree data according to sampling frequency within preset sampling time to form a tension degree sequence.
In the embodiment of the invention, the sampling time is set to be 3 minutes, namely three minutes are used for counting data once, the sampling frequency is set to be 1 second, namely a total of 180 spring tension data are obtained in one sampling time, and one element in one tension sequence is formed.
And obtaining the rotation frequency sequence of the main wheel of the eccentric shaft according to the same sampling time and sampling frequency. I.e. each element in the rotational frequency sequence is 180 main wheel rotational frequency data.
Because the temperature rise change of the crusher cannot rise sharply in the operation process, in the embodiment of the invention, in the acquisition process of the temperature data, the sampling time and the sampling frequency are the same and are both 3 minutes, namely 3 minutes are sampled once, and the temperature sequence of the crusher is obtained.
It should be noted that the number of elements of the data sequence, i.e. the length of the sequence, represents the time of the crusher operation process. The running time can be set according to specific tasks, the data can be collected in the process that no material idles in the crusher, the material size of the material in the crusher can be kept the same, and multiple data collection in different running environments can be carried out, and the method is not limited herein.
Because the trend of temperature change can reflect the characteristics of the current working environment, a temperature curve can be fitted according to the temperature sequence; the reciprocal of the maximum slope in the temperature curve is taken as the working environment index, namely the larger the working environment index is, the slower the temperature change is, and the more possible the temperature change is, the more suitable the working environment of the crusher is.
It should be noted that the working environment index is only used for simple evaluation of the current working environment, and is intended to simply quantify the current working environment, convert the working environment type in the text form into the index in the data form, and facilitate data storage in the controller. Because the problem to be solved by the embodiment of the invention needs to consider the crushing efficiency in the working process, the working environment index is only based on the temperature change analysis, and therefore, the method is not used for classifying the working environment.
Step S2: obtaining a crushing efficiency sequence according to the tensioning degree sequence and the rotation frequency sequence; obtaining the maximum crushing efficiency according to the crushing efficiency sequence; counting the temperature which can reach the maximum crushing efficiency under each working environment to obtain an optimal operation temperature sequence; and grouping the working environments according to the difference degree between the optimal operating temperature sequences of different working environments to obtain the same type of working environment group.
The greater the crushing efficiency of the crusher means that the greater the degree of compression of the movable jaw plate with the fixed jaw plate, i.e. the greater the degree of tensioning of the spring and the greater the main wheel rotation frequency, results in finer material being crushed. Therefore, a crushing efficiency sequence can be obtained according to the tensioning degree sequence and the selection frequency sequence, and the crushing efficiency sequence specifically comprises the following steps:
taking the product of the maximum value and minimum value range in the tensioning degree sequence and the average value of the rotation frequency sequence as a crushing efficiency index, obtaining a crushing efficiency sequence, namely:
wherein, in the step (A),
is as follows
The crushing efficiency of each sampling time is high,
is the first in a rotating frequency sequence
The number of the elements is one,
the function is calculated for the average value,
is the first in the sequence of degrees of tension
The greatest degree of spring tension in the individual elements,
in the sequence of degrees of tension
The smallest degree of spring tension in an element. The crushing efficiency sequence is equal to the lengths of the tensioning degree sequence, the rotation frequency sequence and the temperature sequence, and corresponds to one another, and the position of each element represents the time of the current state.
It should be noted that the crushing efficiency in the crushing efficiency sequence is a degree value, has no specific physical significance, and only represents the degree of the crushing efficiency, and for convenience of data analysis, in the embodiment of the present invention, the crushing efficiency in the crushing efficiency sequence is normalized, and the value range is limited to [0,1], and the closer the crushing efficiency is to 1, the larger the crushing efficiency is.
For the crusher, the maximum crushing efficiency of a current gear exists in the operation process of the crusher, and the corresponding maximum crushing efficiency index can be obtained after the maximum crushing efficiency is quantized through the tensioning degree and the rotating frequency. The running data under each working environment is counted through the crushing efficiency sequence, so that the temperature which can reach the maximum crushing efficiency under each working environment can be obtained, and the optimal running temperature sequence is obtained. It should be noted that the optimal operating temperature sequence is arranged from large to small by default. Namely, each working environment corresponds to an optimal operation temperature sequence and represents the temperature data of the machine body, which can maintain the maximum crushing efficiency in the current working environment. The working environments can be grouped according to the difference degree between the optimal operating temperature sequences of different working environments, and the method specifically comprises the following steps:
obtaining the difference degree according to a difference degree formula; the formula of the degree of difference includes:
wherein the content of the first and second substances,
in order to be the degree of the difference,
for the calculation formula of the pearson coefficient,
as a working environment
The optimum operating temperature sequence of (a) is,
as a working environment
The optimum operating temperature sequence of (a) is,
is composed of
The very poor quality of (a) is,
is composed of
The very poor quality of (a) is,
is composed of
The standard deviation of (a) is determined,
is composed of
Standard deviation of (2).
The degree of difference formula utilizes the pearson coefficient to represent the linear correlation relationship between the two sequences, i.e. the similarity of the variation trends. The more similar the trend of the two sequences is, the larger the pearson coefficient is. And further combining the range difference and the standard deviation to express the difference of numerical values in the two sequences, and obtaining the difference degree with strong reference.
And grouping the working environments by using a density clustering algorithm according to the difference degree to obtain a plurality of clustering clusters, wherein each clustering cluster is a same-class working environment group to obtain a plurality of same-class working environment groups. The influence of the working environment in a group of similar working environments on the efficiency and temperature of the crusher is the same, so that the working environments can be classified into one type for analysis, and the subsequent control process of the controller is facilitated.
Step S3: obtaining a preset reference temperature sequence; in the same type of working environment group, keeping the reference temperature in the reference temperature sequence unchanged, and obtaining a crushing efficiency change sequence at each reference temperature; obtaining the difference distance between the crushing efficiency change sequences corresponding to each reference temperature; obtaining data confidence according to the accumulated sum of the difference distances between each reference temperature and other reference temperatures; and taking the product of the data confidence coefficient and the maximum crushing efficiency in the crushing efficiency change sequence as the optimal crushing efficiency at the temperature.
The preset reference temperature sequence can arrange the temperatures from large to small according to a fixed step length, in the embodiment of the invention, 10 degrees is used as the starting reference temperature, the step length is 5 degrees, and the ending temperature is set to be 70 degrees.
In the same type of working environment group, the crusher can be controlled according to parameters of the adjusting spring and the main wheel, so that the reference temperature is kept unchanged, and a crushing efficiency change sequence at each reference temperature is obtained, namely, the lower the requirement of the reference temperature is, the slower the rotation of the main wheel, namely the tensioning of the spring is, and the higher the requirement of the reference temperature is, the faster the rotation and the tensioning of the main wheel is. The crushing efficiency variation sequence is a crushing efficiency sequence of the crusher changing along with the time variation at a fixed temperature. The crushing efficiency should have a direct and linear relationship with the temperature in the initial temperature range, i.e. the greater the crushing efficiency, the greater the initial temperature; after rising to a balanced temperature, crushing efficiency can not rise again, and can continue to rise to dangerous temperature along with operating duration continues to impel balanced temperature, and the breaker can reduce crushing efficiency in order to reduce equipment burden of being heated in order to guarantee machine safety this moment, therefore initial temperature, balanced temperature and dangerous temperature correspond crushing efficiency sequence have the difference, wherein the temperature that is located the balanced temperature within range is more, the crushing efficiency sequence in the balanced temperature within range has similar characteristics, consequently can obtain the data confidence under every reference temperature according to the difference distance of crushing efficiency, specifically include:
obtaining the difference distance between the crushing efficiency change sequences corresponding to each reference temperature according to a dynamic time warping algorithm, and obtaining a data confidence coefficient according to the accumulated sum of the difference distances between each reference temperature and other reference temperatures, specifically comprising:
obtaining a data confidence coefficient according to a data confidence coefficient formula; the data confidence formula includes:
wherein the content of the first and second substances,
for the purpose of the confidence in the data,
is the cumulative sum of the normalized difference distances. I.e. the greater the cumulative sum of the difference distances, the more similarity between the data is accounted forSmall, the less data confidence. The higher the confidence of the data, the more similar data, the current reference temperature is in the equilibrium temperature range.
And taking the product of the data confidence coefficient and the maximum crushing efficiency in the crushing efficiency change sequence as the optimal crushing efficiency at the reference temperature.
It should be noted that, because the influences of the working environments in the same working environment group on the crushing efficiency and the temperature are similar, when the data confidence is analyzed, data collection can be performed on any one working environment in the same working environment group.
Step S4: obtaining the integral optimal crushing efficiency and the corresponding optimal reference temperature according to each reference temperature and the corresponding optimal crushing efficiency in each similar working environment group; and controlling the operation of the jaw crusher according to the optimal reference temperature and the overall optimal crushing efficiency.
After the processing of step S3, each reference temperature pair corresponds to an optimal crushing efficiency, and a reference temperature-crushing efficiency curve is constructed according to each reference temperature and the corresponding optimal crushing efficiency in each similar working environment group. The horizontal axis of the reference temperature-crushing efficiency curve is the reference temperature, and the vertical axis is the optimal crushing efficiency. And obtaining an extreme point of a reference temperature-crushing efficiency curve, and using the reference temperature and the optimal crushing efficiency within a preset selection range of the extreme point as the optimal reference temperature and the overall optimal crushing efficiency.
In the embodiment of the invention, the temperature range with the range of 5 degrees before the extreme point is preset and selected as the optimal reference temperature.
By obtaining the optimal reference temperature and the overall optimal crushing efficiency in each similar working environment group, the controller can control the equipment of the crusher aiming at the working environment, so that the efficiency of the crusher reaches the overall optimal efficiency and the temperature of the crusher body is stabilized in the optimal reference temperature. In an embodiment of the invention, the controller may be adapted to control the rotational frequency of the eccentric shaft main wheel to achieve a controlled crushing efficiency.
In summary, the embodiments of the present invention obtain the crusher operation data in different working environments, obtain the optimal operation temperature sequence in each working environment according to the crusher operation data, and group the working environments according to the optimal operation temperature sequence to obtain the same kind of working environment group. And keeping the reference temperature constant in the same type of working environment group to obtain a crushing efficiency change sequence. And obtaining the data confidence of each reference temperature according to the difference distance between each crushing efficiency change sequence. And obtaining the optimal crushing efficiency corresponding to the reference temperature according to the data confidence. And selecting according to each reference temperature and the optimal crushing efficiency to obtain the integral optimal crushing efficiency and the corresponding optimal reference temperature. The jaw crusher is controlled by a controller to operate at an overall optimum crushing efficiency and an optimum reference temperature.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (9)
1. A jaw crusher comprises a jaw crusher body, wherein the jaw crusher body comprises a movable jaw, a spring and a fixed jaw, the spring is fixedly assembled and connected with the fixed jaw, and the jaw crusher is characterized by further comprising a jaw crusher control system, the jaw crusher control system comprises a controller, and a spring tensioning degree detector, a jaw crusher eccentric shaft main wheel rotation frequency detector and a jaw crusher body temperature detector which are connected with signals of the controller;
the jaw crusher eccentric shaft main wheel rotation frequency detector is used for detecting the rotation frequency of a jaw crusher eccentric shaft main wheel, and the jaw crusher body temperature detector is used for detecting the temperature of a jaw crusher body;
the controller obtains a tensioning degree sequence of a spring, a rotation frequency sequence of a main wheel of the eccentric shaft and a temperature sequence of a bearing which normally run in different working environments under each gear according to preset sampling time; obtaining a crushing efficiency sequence according to the tensioning degree sequence and the rotation frequency sequence; obtaining the maximum crushing efficiency according to the crushing efficiency sequence; counting the temperature which can reach the maximum crushing efficiency under each working environment to obtain an optimal operation temperature sequence; grouping the working environments according to the similarity between the optimal operating temperature sequences of different working environments to obtain similar working environment groups; in the same type of working environment group, keeping the temperature in the temperature sequence unchanged to obtain a crushing efficiency change sequence at each temperature; obtaining a difference distance between the crushing efficiency change sequences corresponding to each temperature; obtaining data confidence according to the sum of difference distances between each temperature and other temperatures; taking the product of the data confidence coefficient and the maximum crushing efficiency in the crushing efficiency change sequence as the optimal crushing efficiency at the temperature; obtaining the integral optimal crushing efficiency and the corresponding optimal reference temperature according to each temperature and the corresponding optimal crushing efficiency; and controlling the operation of the jaw crusher according to the optimal reference temperature and the integral optimal crushing efficiency.
2. A method of controlling a jaw crusher to automatically adjust for optimum efficiency, the method comprising:
acquiring a tensioning degree sequence of a spring, a rotation frequency sequence of an eccentric shaft main wheel and a temperature sequence of a bearing which normally run in different working environments according to preset sampling time;
obtaining a crushing efficiency sequence according to the tensioning degree sequence and the rotation frequency sequence; counting the temperature which can reach the maximum crushing efficiency under each working environment according to the crushing efficiency sequence to obtain an optimal operation temperature sequence; grouping the working environments according to the difference degree between the optimal operation temperature sequences of different working environments to obtain similar working environment groups;
obtaining a preset reference temperature sequence; in the same type of working environment group, keeping the reference temperature in the reference temperature sequence unchanged, and obtaining a crushing efficiency change sequence at each reference temperature; obtaining a difference distance between the crushing efficiency change sequences corresponding to each reference temperature; obtaining data confidence according to the accumulated sum of the difference distances between each reference temperature and other reference temperatures; taking the product of the data confidence coefficient and the maximum crushing efficiency in the crushing efficiency change sequence as the optimal crushing efficiency at the reference temperature;
obtaining the integral optimal crushing efficiency and the corresponding optimal reference temperature according to each reference temperature and the corresponding optimal crushing efficiency in each similar working environment group; and controlling the operation of the jaw crusher according to the optimal reference temperature and the integral optimal crushing efficiency.
3. A method of controlling a jaw crusher for automatically adjusting the optimum efficiency according to claim 2, characterized in that said obtaining a crushing efficiency sequence from said sequence of tightening degrees and said sequence of rotation frequencies comprises:
obtaining the tensioning degree sequence and the rotation frequency sequence at each sampling time according to a preset sampling frequency in each sampling time; and taking the product of the minimum value and the maximum value in the tensioning degree sequence and the average value of the rotation frequency sequence as a crushing efficiency index to obtain the crushing efficiency sequence.
4. The method of claim 2, wherein obtaining the temperature sequence for the bearings further comprises:
fitting a temperature curve according to the temperature sequence; and taking the reciprocal of the maximum slope in the temperature curve as an index of the working environment.
5. A method of controlling a jaw crusher for automatically adjusting optimum efficiency as set forth in claim 2, characterized in that obtaining a degree of difference between said optimum operating temperature sequences for different said working environments comprises:
obtaining the difference degree according to a difference degree formula; the degree of difference formula includes:
wherein the content of the first and second substances,
to be the extent of the difference in the above-mentioned degree,
for the calculation formula of the pearson coefficient,
as a working environment
The optimum operating temperature sequence of (a) is,
as a working environment
Is determined by the optimum operating temperature sequence of the engine,
is composed of
The very poor quality of (a) is,
is composed of
The very poor quality of (a) is,
is composed of
The standard deviation of (a) is determined,
is composed of
Standard deviation of (2).
6. The method of claim 5, wherein said grouping of said operating environments according to a degree of difference between said optimum operating temperature sequences for different said operating environments to obtain a homogeneous group of operating environments comprises:
and grouping the working environments by using a density clustering algorithm according to the difference degree to obtain a plurality of similar working environment groups.
7. A method of controlling a jaw crusher with automatic adjustment of optimum efficiency as claimed in claim 2, characterized in that said obtaining the difference distance between said sequence of crushing efficiency changes for each of said reference temperatures comprises:
and obtaining the difference distance between the crushing efficiency change sequences corresponding to each reference temperature according to a dynamic time warping algorithm.
8. A method of controlling a jaw crusher with automatic adjustment of optimum efficiency as set forth in claim 2, characterized in that said obtaining a data confidence from the accumulated sum of the difference distances between each of said reference temperatures and the other reference temperatures comprises:
obtaining the data confidence according to a data confidence formula; the data confidence formula includes:
wherein the content of the first and second substances,
for the purpose of the confidence level of the data,
is the accumulated sum of the normalized difference distances.
9. The method of claim 2, wherein said deriving an overall optimal crushing efficiency and a corresponding optimal reference temperature based on each of said reference temperatures and a corresponding optimal crushing efficiency in each of said similar work environment groups comprises:
constructing a reference temperature-crushing efficiency curve according to each reference temperature and the corresponding optimal crushing efficiency in each same type working environment group; the horizontal axis of the reference temperature-crushing efficiency curve is the reference temperature, and the vertical axis is the optimal crushing efficiency; and obtaining an extreme point of the reference temperature-crushing efficiency curve, and using the reference temperature and the optimal crushing efficiency within the preset selection range of the extreme point as the optimal reference temperature and the overall optimal crushing efficiency.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210547791.4A CN114632616B (en) | 2022-05-20 | 2022-05-20 | Jaw crusher capable of automatically adjusting optimal efficiency and control method thereof |
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| CN1938094A (en) * | 2004-03-25 | 2007-03-28 | 山特维克知识产权股份有限公司 | Method and device for the control of a crusher |
| CN207769863U (en) * | 2017-12-21 | 2018-08-28 | 国网山东省电力公司莱芜供电公司 | Power plant's lump coal jaw crusher with bearing shell temperature alarming device |
| CN209287507U (en) * | 2018-11-26 | 2019-08-23 | 浙江博远机械设备有限公司 | The controllable jaw crusher of bearing temperature |
| CN112752612A (en) * | 2018-07-30 | 2021-05-04 | 美卓矿物工业公司 | Gyratory crusher comprising a variable speed drive and a control system |
| CN113275118A (en) * | 2021-05-31 | 2021-08-20 | 江苏邦鼎科技有限公司 | Intelligent detection method and system for screen pieces of grinder |
| CN114417641A (en) * | 2022-03-29 | 2022-04-29 | 启东市海信机械有限公司 | Push rod equipment service life prediction method based on artificial intelligence |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1938094A (en) * | 2004-03-25 | 2007-03-28 | 山特维克知识产权股份有限公司 | Method and device for the control of a crusher |
| CN207769863U (en) * | 2017-12-21 | 2018-08-28 | 国网山东省电力公司莱芜供电公司 | Power plant's lump coal jaw crusher with bearing shell temperature alarming device |
| CN112752612A (en) * | 2018-07-30 | 2021-05-04 | 美卓矿物工业公司 | Gyratory crusher comprising a variable speed drive and a control system |
| CN209287507U (en) * | 2018-11-26 | 2019-08-23 | 浙江博远机械设备有限公司 | The controllable jaw crusher of bearing temperature |
| CN113275118A (en) * | 2021-05-31 | 2021-08-20 | 江苏邦鼎科技有限公司 | Intelligent detection method and system for screen pieces of grinder |
| CN114417641A (en) * | 2022-03-29 | 2022-04-29 | 启东市海信机械有限公司 | Push rod equipment service life prediction method based on artificial intelligence |
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