CN111832978A - Intelligent rubber mixing system and method - Google Patents

Intelligent rubber mixing system and method Download PDF

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CN111832978A
CN111832978A CN202010765815.4A CN202010765815A CN111832978A CN 111832978 A CN111832978 A CN 111832978A CN 202010765815 A CN202010765815 A CN 202010765815A CN 111832978 A CN111832978 A CN 111832978A
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rubber mixing
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王舒扬
韩星
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Shanghai Hongyi Electric Co ltd
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Abstract

The invention provides an intelligent rubber mixing system which comprises an electric quantity counting device, a wear early warning device, a power counting device, a vibration monitoring device and a report analysis device. The electric quantity statistical device is used for acquiring electric quantity statistical information of the rubber mixing machine. The abrasion early warning device is used for acquiring abrasion early warning information of the rubber mixing machine, and sending reminding information when the abrasion early warning information reaches the threshold value of the remaining service time. The power statistical device is used for obtaining power statistical information of the rubber mixing machine. The vibration monitoring device is used for acquiring vibration monitoring information of the rubber mixing machine. The report analysis device generates daily report information and monthly report information related to a specific user according to the electric quantity statistical information, the wear early warning information, the power statistical information and the vibration monitoring information. The invention can realize the early warning of the abnormal condition in the running process of the rubber mixing machine equipment through the real-time monitoring of each device of the intelligent rubber mixing system, prevent major faults of the equipment, effectively improve the monitoring accuracy of the rubber mixing machine equipment and increase the yield.

Description

Intelligent rubber mixing system and method
Technical Field
The invention belongs to the technical field of rubber machinery, and particularly relates to an intelligent rubber mixing system and method.
Background
For the rubber machinery industry, the internal mixer only works singly in the production process, the detection and alarm functions of main parts of equipment are omitted, a proper machine table is not reasonably arranged for the upper-level production task, and the efficiency is poor.
Disclosure of Invention
In view of the above problems, the present invention provides an intelligent rubber mixing system and method for improving the problem of poor efficiency of rubber mixing in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
in a first aspect, the present invention provides an intelligent rubber mixing system, which is applied to a plurality of rubber mixing machines, and comprises:
the electric quantity statistical device is used for acquiring the electric quantity statistical information of one of the rubber mixing machines;
the abrasion early warning device is electrically connected with the electric quantity counting device and used for acquiring abrasion early warning information of one of the rubber mixing machines, the abrasion early warning information is at least related to a machine temperature factor, a machine rotating speed factor and a machine pressure factor, and when the abrasion early warning information reaches a residual service time threshold value, reminding information is sent;
the power statistical device is electrically connected with the wear early warning device and is used for acquiring power statistical information of one of the rubber mixing machines;
the vibration monitoring device is electrically connected with the power statistics device and is used for acquiring vibration monitoring information of one of the rubber mixing machines;
and the report analysis device is in communication connection with the electric quantity counting device, the wear early warning device, the power counting device and the vibration monitoring device, and at least generates daily report information and monthly report information related to a specific user according to the electric quantity counting information, the wear early warning information, the power counting information and the vibration monitoring information.
In a second aspect, the present invention provides an intelligent rubber mixing method, where the intelligent rubber mixing method is applied to an intelligent rubber mixing system, and the intelligent rubber mixing system is applied to a plurality of rubber mixing machines, the intelligent rubber mixing system includes an electric quantity statistics device, a wear early warning device, a power statistics device, a vibration monitoring device and a report analysis device, the wear early warning device is electrically connected to the electric quantity statistics device, the power statistics device is electrically connected to the wear early warning device, the vibration monitoring device is electrically connected to the power statistics device, the report analysis device is communicatively connected to the electric quantity statistics device, the wear early warning device, the power statistics device and the vibration monitoring device, and the intelligent rubber mixing method includes:
acquiring the electric quantity statistical information of one of the rubber mixing machines by the electric quantity statistical device;
the method comprises the steps that abrasion early-warning information of one of a plurality of rubber mixing machines is obtained through an abrasion early-warning device, the abrasion early-warning information is at least related to a machine temperature factor, a machine rotating speed factor and a machine pressure factor, and when the abrasion early-warning information reaches a residual service time threshold value, reminding information is sent;
the power statistical device acquires power statistical information of one of the rubber mixing machines;
the vibration monitoring device acquires vibration monitoring information of one of the rubber mixing machines;
and generating at least daily report information and monthly report information which are related to a specific user by the report analysis device according to the electric quantity statistical information, the wear early warning information, the power statistical information and the vibration monitoring information.
The invention provides an intelligent rubber mixing system which comprises an electric quantity counting device, a wear early warning device, a power counting device, a vibration monitoring device and a report analysis device. The electric quantity statistical device is used for acquiring electric quantity statistical information of the rubber mixing machine. The abrasion early warning device is used for acquiring abrasion early warning information of the rubber mixing machine, and sending reminding information when the abrasion early warning information reaches the threshold value of the remaining service time. The power statistical device is used for obtaining power statistical information of the rubber mixing machine. The vibration monitoring device is used for acquiring vibration monitoring information of the rubber mixing machine. The report analysis device generates daily report information and monthly report information related to a specific user according to the electric quantity statistical information, the wear early warning information, the power statistical information and the vibration monitoring information. The intelligent rubber mixing system provided by the invention can realize the early warning of abnormal conditions in the running process of the rubber mixing machine equipment through real-time monitoring of all devices of the intelligent rubber mixing system, prevent major faults of the equipment, effectively improve the monitoring accuracy of the rubber mixing machine equipment and increase the rubber mixing yield. In addition, the report analysis device compares the efficiency of rubber mixing of different internal mixer production lines, optimizes the rubber mixing efficiency of each internal mixer, improves the rubber mixing efficiency, calculates the remaining service time of main parts by the wear early warning device, reasonably arranges the maintenance time, reduces the damage rate of the machines, prevents major faults of equipment, shortens the maintenance time of the equipment, prejudges the remaining service time of the main parts of the equipment by the wear early warning device, and makes a component replacement plan in advance to increase the accuracy and predictability. Moreover, the wearing and tearing early warning device in the intelligence system of smelting rubber can the surplus live time of calculating equipment essential element, rationally arranges to shut down and change the component time. The intelligent rubber mixing system monitors the production process in real time, collects the state data of each internal mixer in real time, reasonably arranges production tasks for each internal mixer table by comparing and analyzing the collected data, and achieves the purposes of saving energy consumption and improving efficiency.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, and it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope of the present invention.
FIG. 1 is a schematic block diagram of an intelligent rubber mixing system provided in example 1 of the present invention;
FIG. 2 is a flow chart of the intelligent rubber mixing method provided in example 2 of the present invention;
fig. 3 is a table of an embodiment of power statistics of the present invention;
fig. 4A and 4B are a normal power curve diagram and an abnormal power curve diagram obtained by the power statistics device of the present invention, respectively;
FIG. 5 is a vibration curve recording chart formed by the vibration monitoring device of the present invention acquiring vibration monitoring information of bearings of each rubber mixing machine;
FIGS. 6A and 6B are daily production statistics of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be 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 of the embodiments.
The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
Hereinafter, the terms "including", "having", and their derivatives, which may be used in various embodiments of the present invention, are only intended to indicate specific features, numbers, steps, operations, elements, components, or combinations of the foregoing, and should not be construed as first excluding the existence of, or adding to, one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Example 1
Referring to fig. 1, fig. 1 is a block schematic diagram of an intelligent rubber mixing system provided in embodiment 1 of the present invention.
In an embodiment, the intelligent rubber mixing system is applied to a plurality of rubber mixing machines (which can be regarded as internal mixers), and the intelligent rubber mixing system provided by the invention can be applied to a rubber mixing department in a rubber enterprise, and can be used for carrying out individual machine evaluation on the plurality of rubber mixing machines in the rubber mixing department, or carrying out evaluation on an operator, or carrying out evaluation on the whole rubber raw material consumption, or carrying out evaluation on the whole product yield. The intelligent rubber mixing system 100 includes an electric quantity counting device 110, a wear early warning device 120, a power counting device 130, a vibration monitoring device 140, and a report analysis device 150. The wear-out warning device 120 is electrically connected to the power statistics device 110. The power statistics device 130 is electrically connected to the wear-warning device 120. The vibration monitoring device 140 is electrically connected to the power statistics device 130. The report analyzer 150 is connected to the power statistics device 110, the wear pre-warning device 120, the power statistics device 130, and the vibration monitoring device 140 in communication.
For example, the power statistics device 110, the wear warning device 120, the power statistics device 130, and the vibration monitoring device 140 are composed of one or more functional circuits, which include a power detection circuit, a vibration sensor, a communication circuit, a driving circuit, a power statistics circuit, and the like. For example, the electric quantity counting device 110, the wear warning device 120, the power counting device 130, and the vibration monitoring device 140 may be respectively disposed on the rubber mixing machine, and are in communication connection with the report analysis device 150 in a wired or wireless manner. The report analyzer 150 may be implemented by an electronic device with an operation function, and the report analyzer 150 may be a notebook computer, a desktop computer, an intelligent mobile phone, a tablet computer, etc., and the invention is not limited by the type of the report analyzer 150.
In an embodiment, the electric quantity statistical apparatus 110 is configured to obtain electric quantity statistical information of one of the plurality of rubber mixing machines. In other words, the electric quantity statistical device 110 obtains the electric quantity statistical information of each rubber mixing machine through an electric quantity statistical program therein, wherein the electric quantity statistical information at least includes a serial number factor, a formula factor, an electric quantity factor, an electric charge factor and a machine number factor. As will be illustrated in figure 3.
The power factor PF01 of the serial number factor 1 (corresponding to the machine number factor 1#) and the serial number factor 6 (corresponding to the machine number factor 3#) are the same, the power factor of the serial number factor 1 (the machine number factor 1#) is 27, the power factor of the serial number factor 6 (the machine number factor 3#) is 35, the power of the representative machine number factor 1# is lower than that of the machine number factor 3#, and the production cost is also lower than that of the power factor 52.5 of the representative machine number factor #1, which is lower than that of the machine number factor 3 #.5. In the process of rubber material production, software (which can be regarded as an electric quantity statistical program) collects and stores used electric energy in real time, and the energy consumption (which can be regarded as an electric quantity factor) of a single rubber material vehicle is counted after the production task of each vehicle is finished. Software statistics is carried out on the consumption energy of the single vehicle when the same sizing material formula is produced by different machines, and the consumption energy of the single vehicle (machine number factor) of different machines is compared with the consumption energy of the single vehicle (machine number factor) of different machines of each sizing material formula (which can be regarded as a formula factor), so that the lowest consumption energy of the sizing material of the single vehicle (formula factor) of each formula of which machine is used can be obtained, the production task can be reasonably arranged for each machine, and the efficiency and the.
In an embodiment, the wear warning device 120 is configured to obtain wear warning information of one of the rubber mixing machines, where the wear warning information is at least associated with a machine temperature factor, a machine rotation speed factor, and a machine pressure factor, and send a warning message when the wear warning information reaches a remaining usage time threshold. In a word, the wear warning device 120 obtains the wear warning information of each rubber mixing machine through the electric quantity statistical program, and sends the reminding information when the wear warning information reaches the remaining service time threshold value through the result obtained by the algorithm of comparing the accumulated time and the allowable operation time embedded in the electric quantity statistical program. The wear early warning device 120 counts the service time of rotatable parts (such as sealing rings, bearings and the like) of rubber mixing machine equipment, the time coefficient is calculated through the temperature (which can be regarded as a temperature factor), the rotating speed (which can be regarded as a machine rotating speed factor) and the pressure (which can be regarded as a machine pressure factor) inside the parts, which are collected in real time, and the operation time of the parts is accumulated by using the time coefficient. The device sets the allowable operation time length of each component through software before operation, and judges the residual service time of each component by comparing the accumulated time with the allowable operation time (which can be regarded as an algorithm for comparing the accumulated time with the allowable operation time). When the upper limit of the residual service time is reached (which can be regarded as the condition that the wear early warning information reaches the threshold of the residual service time), a user is reminded to reasonably arrange the downtime to replace the corresponding part in time, if the corresponding part is not replaced in time, and when the lower limit of the residual service time of the part is reached, the equipment is forbidden to be started so as to prevent the equipment from generating serious faults.
In an embodiment, the power statistics device 130 is configured to obtain power statistics information of one of the plurality of rubber mixing machines. In a word, the power statistical device 130 obtains power statistical information of one of the rubber mixing machines through a power statistical program therein, compares whether a material mixing time factor and a rubber discharging mode power factor in the power statistical information are within a threshold value through the power statistical program, if so, does not send abnormal information, and if not, sends the abnormal information, wherein the range of the material mixing time factor is 1-180 seconds, and the range of the rubber discharging mode power factor is 0-5 kw. Referring to fig. 3, 4A and 4B together, the following fig. 4A and 4B will be illustrated.
Under the same formula factor, a standard rubber mixing curve graph is formed after weighting and averaging rubber mixing data of each vehicle, when single vehicle production is carried out, rubber mixing data at each time point are compared with data at the time point of the corresponding standard curve graph, and if the data difference value between the normal power value and the abnormal power value is more than 10%, abnormal rubber mixing is regarded and remarked. Whether the material mixing time factor and the glue discharging mode power factor of the power statistical device 130 provided by the invention are within the threshold value can represent whether the quality of the mixed glue is within a qualified line, so that the excellent rate of rubber finished products is improved.
In one embodiment, the vibration monitoring device 140 is used to obtain vibration monitoring information of one of the plurality of rubber mixing machines, for example, the vibration monitoring device 140 may include a vibration sensor. In summary, the vibration monitoring device 140 obtains the vibration monitoring information of each rubber mixing machine platform through the vibration monitoring program therein, the vibration monitoring device 140 obtains the vibration monitoring information of the bearing of each rubber mixing machine platform through the sensor and the vibration monitoring program therein and forms a vibration curve recording chart (fig. 5), and the result obtained through the vibration monitoring program is that the warning information is sent when the vibration monitoring information reaches the upper limit of the vibration monitoring threshold. In other words, the vibration sensor is added at the main bearing position of the rubber mixing machine station equipment, the vibration data of each bearing is collected in real time through the vibration sensor to form a vibration curve recording chart (figure 5), the upper limit of a vibration value (which can be regarded as the upper limit of a vibration monitoring threshold value) is set in software (which can be regarded as a vibration monitoring program), and when the real-time vibration value of the bearing reaches the upper limit of the vibration value, an alarm prompt is triggered to inform (which can be regarded as reminding information) that the abnormal vibration of the bearing needs to be checked and confirmed, so that the equipment problem is prevented from being. The following fig. 5 will illustrate.
In one embodiment, the report analyzer 150 at least generates daily report information and monthly report information associated with a specific user according to the power statistics information, the wear warning information, the power statistics information and the vibration monitoring information. In addition, the report analysis device 150 creates an intelligent rubber mixing model f (x) by a relevance analysis method according to the PLC rubber mixing program in the intelligent rubber mixing program according to the electricity quantity statistical information x1, the wear warning information x2, the power statistical information x3 and the vibration monitoring information x4, and then at least generates daily report information and monthly report information related to a specific user or rubber product, wherein f (x) is a1x1+ a2x2+ a3x3+ a4x4, a 1-a 4 is a preset parameter, x 1-x 4 is an independent variable, and f (x) is a strain number, and when the strain number exceeds a standard value range, at least one of x 1-x 4 is automatically optimized and adjusted. The invention records and stores the data in the production process by the report analysis function of the report analysis device 150. The statistics and summarization generate daily and monthly yield reports, so that the user can conduct assessment performance on the staff as reference, and the user can also conduct reference on the production efficiency of rubber products, and the applicability is improved. The electric quantity statistical information, the wear early warning information, the power statistical information and the vibration monitoring information can be realized by a PLC rubber mixing program, and in addition, the report form analysis device 150 can be realized by a touch screen of a tablet computer, so that the practicability and the convenience are improved. Moreover, an intelligent rubber mixing model is established by a correlation analysis method of a statistical principle, so that the data accuracy can be improved, and then automatic optimization and adjustment are carried out, so that the rubber mixing capacity is effectively improved. Fig. 6A and 6B below will be exemplified.
Example 2
Referring to fig. 2, fig. 2 is a flow chart of the intelligent rubber mixing method provided in embodiment 2 of the present invention. An intelligent rubber mixing method is applied to an intelligent rubber mixing system, the intelligent rubber mixing system is applied to a plurality of rubber mixing machine tables, the intelligent rubber mixing system comprises an electric quantity counting device, a wear early warning device, a power counting device, a vibration monitoring device and a report form analysis device, the wear early warning device is electrically connected with the electric quantity counting device, the power counting device is electrically connected with the wear early warning device, the vibration monitoring device is electrically connected with the power counting device, the report form analysis device is in communication connection with the electric quantity counting device, the wear early warning device, the power counting device and the vibration monitoring device, and the intelligent rubber mixing method comprises the following steps:
s210, acquiring the electric quantity statistical information of one of the rubber mixing machines by the electric quantity statistical device;
s220, acquiring wear early warning information of one of a plurality of rubber mixing machines by the wear early warning device, wherein the wear early warning information is at least related to a machine temperature factor, a machine rotating speed factor and a machine pressure factor, and sending reminding information when the wear early warning information reaches a remaining service time threshold;
s230, acquiring power statistical information of one of the rubber mixing machines by the power statistical device;
s240, acquiring vibration monitoring information of one of the rubber mixing machines by the vibration monitoring device;
and S250, generating at least daily report information and monthly report information related to a specific user by the report analysis device according to the electric quantity statistical information, the wear early warning information, the power statistical information and the vibration monitoring information.
In an embodiment, the electric quantity statistical information of each rubber mixing machine is obtained by the electric quantity statistical device through an electric quantity statistical program therein, wherein the electric quantity statistical information at least includes a serial number factor, a formula factor, an electric quantity factor, an electric charge factor and a machine number factor.
In one embodiment, the wear warning device obtains the wear warning information of each rubber mixing machine through an electric quantity statistical program, and a result obtained through comparison accumulation time and allowable operation time algorithms embedded in the electric quantity statistical program is used for sending reminding information when the wear warning information reaches a remaining use time threshold value.
In one embodiment, the power statistical device obtains power statistical information of one of rubber mixing machines through a power statistical program, the power statistical program compares whether a mixing time factor and a rubber discharging mode power factor in the power statistical information are within a threshold value, if so, abnormal information is not sent, and if not, abnormal information is sent, wherein the mixing time factor ranges from 1 second to 180 seconds, and the rubber discharging mode power factor ranges from 0 kilowatt to 5 kilowatts;
the vibration monitoring device acquires the vibration monitoring information of each rubber mixing machine platform through a vibration monitoring program, the vibration monitoring device acquires the vibration monitoring information of the bearing of each rubber mixing machine platform through a sensor and the vibration monitoring program and forms a vibration curve recording chart, and a reminding message is sent when the vibration monitoring information reaches the upper limit of a vibration monitoring threshold value through the result acquired by the vibration monitoring program.
In an embodiment, after an intelligent rubber mixing model f (x) is established by the report analysis device through a PLC rubber mixing program according to the electricity quantity statistical information x1, the wear warning information x2, the power statistical information x3 and the vibration monitoring information x4 through a relevance analysis method, at least daily report information and monthly report information related to a specific user or rubber product are generated, wherein f (x) is a1x1+ a2x2+ a3x3+ a4x4, a 1-a 4 are preset parameters, x 1-x 4 are independent variables, and f (x) is a strain number, and when the strain number exceeds a standard value range, at least one of x 1-x 4 is automatically optimized and adjusted.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, each functional module or unit in each embodiment of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part of the technical solution that contributes to the prior art in essence can be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention.

Claims (10)

1. The utility model provides an intelligence system of smelting rubber which characterized in that, intelligence system of smelting rubber is applied to a plurality of machines of smelting rubber, intelligence system of smelting rubber includes:
the electric quantity statistical device is used for acquiring the electric quantity statistical information of one of the rubber mixing machines;
the abrasion early warning device is electrically connected with the electric quantity counting device and used for acquiring abrasion early warning information of one of the rubber mixing machines, the abrasion early warning information is at least related to a machine temperature factor, a machine rotating speed factor and a machine pressure factor, and when the abrasion early warning information reaches a residual service time threshold value, reminding information is sent;
the power statistical device is electrically connected with the wear early warning device and is used for acquiring power statistical information of one of the rubber mixing machines;
the vibration monitoring device is electrically connected with the power statistics device and is used for acquiring vibration monitoring information of one of the rubber mixing machines;
and the report analysis device is in communication connection with the electric quantity counting device, the wear early warning device, the power counting device and the vibration monitoring device, and at least generates daily report information and monthly report information related to a specific user according to the electric quantity counting information, the wear early warning information, the power counting information and the vibration monitoring information.
2. The intelligent rubber mixing system as claimed in claim 1, wherein the electric quantity statistical device obtains the electric quantity statistical information of each rubber mixing machine through an electric quantity statistical program therein, wherein the electric quantity statistical information at least comprises a serial number factor, a formula factor, an electric quantity factor, an electric charge factor and a machine number factor.
3. The intelligent rubber mixing system as claimed in claim 1, wherein the wear early warning device obtains the wear early warning information of each rubber mixing machine through an electric quantity statistical program, and sends a reminding message when the wear early warning information reaches a remaining use time threshold value through a result obtained by comparing accumulated time and allowable operation time algorithms embedded in the electric quantity statistical program.
4. The intelligent rubber mixing system according to claim 1, wherein the power statistical device obtains power statistical information of one of the rubber mixing machines through a power statistical program therein, compares whether a mixing time factor and a rubber outlet mode power factor in the power statistical information are within a threshold value through the power statistical program, if so, does not send abnormal information, and if not, sends abnormal information, wherein the mixing time factor ranges from 1 to 180 seconds, and the rubber outlet mode power factor ranges from 0 to 5 kilowatts;
the vibration monitoring device acquires the vibration monitoring information of each rubber mixing machine platform through a vibration monitoring program, the vibration monitoring device acquires the vibration monitoring information of the bearing of each rubber mixing machine platform through a sensor and the vibration monitoring program and forms a vibration curve recording chart, and a reminding message is sent when the vibration monitoring information reaches the upper limit of a vibration monitoring threshold value through the result acquired by the vibration monitoring program.
5. The intelligent rubber mixing system as claimed in claim 1, wherein the report analysis device creates an intelligent rubber mixing model f (x) by a correlation analysis method according to the electric quantity statistic information x1, the wear early warning information x2, the power statistic information x3 and the vibration monitoring information x4, and then at least generates daily report information and monthly report information related to a specific user or rubber product, wherein f (x) a1x1+ a2x2+ a3x3+ a4x4, a 1-a 4 are preset parameters, x 1-x 4 are independent variables, f (x) is a strain number, and when the strain number exceeds a standard value range, at least one of x 1-x 4 is automatically optimized and adjusted.
6. An intelligent rubber mixing method is characterized in that the intelligent rubber mixing method is applied to an intelligent rubber mixing system, the intelligent rubber mixing system is applied to a plurality of rubber mixing machine tables, the intelligent rubber mixing system comprises an electric quantity counting device, a wear early warning device, a power counting device, a vibration monitoring device and a report analyzing device, the wear early warning device is electrically connected with the electric quantity counting device, the power counting device is electrically connected with the wear early warning device, the vibration monitoring device is electrically connected with the power counting device, the report analyzing device is in communication connection with the electric quantity counting device, the wear early warning device, the power counting device and the vibration monitoring device, and the intelligent rubber mixing method comprises the following steps:
acquiring the electric quantity statistical information of one of the rubber mixing machines by the electric quantity statistical device;
the method comprises the steps that abrasion early-warning information of one of a plurality of rubber mixing machines is obtained through an abrasion early-warning device, the abrasion early-warning information is at least related to a machine temperature factor, a machine rotating speed factor and a machine pressure factor, and when the abrasion early-warning information reaches a residual service time threshold value, reminding information is sent;
the power statistical device acquires power statistical information of one of the rubber mixing machines;
the vibration monitoring device acquires vibration monitoring information of one of the rubber mixing machines;
and generating at least daily report information and monthly report information which are related to a specific user by the report analysis device according to the electric quantity statistical information, the wear early warning information, the power statistical information and the vibration monitoring information.
7. The intelligent rubber mixing method according to claim 6, characterized by comprising the following steps of:
and acquiring the electric quantity statistical information of each rubber mixing machine by the electric quantity statistical device through an electric quantity statistical program, wherein the electric quantity statistical information at least comprises a sequence number factor, a formula factor, an electric quantity factor, an electric charge factor and a machine number factor.
8. The intelligent rubber mixing method according to claim 6, characterized by comprising the following steps of:
the wear early warning device acquires the wear early warning information of each rubber mixing machine through an electric quantity statistical program, and sends reminding information when the wear early warning information reaches a residual service time threshold value through a result obtained by comparing accumulated time and allowable operation time algorithms embedded in the electric quantity statistical program.
9. The intelligent rubber mixing method according to claim 6, characterized by comprising the following steps of:
the power statistical device obtains power statistical information of one of rubber mixing machines through a power statistical program, the power statistical program compares whether a material mixing time factor and a rubber outlet mode power factor in the power statistical information are within a threshold value, if yes, abnormal information is not sent, if not, the abnormal information is sent, wherein the material mixing time factor ranges from 1 second to 180 seconds, and the rubber outlet mode power factor ranges from 0 kilowatt to 5 kilowatts;
the vibration monitoring device acquires the vibration monitoring information of each rubber mixing machine platform through a vibration monitoring program, the vibration monitoring device acquires the vibration monitoring information of the bearing of each rubber mixing machine platform through a sensor and the vibration monitoring program and forms a vibration curve recording chart, and a reminding message is sent when the vibration monitoring information reaches the upper limit of a vibration monitoring threshold value through the result acquired by the vibration monitoring program.
10. The intelligent rubber mixing method according to claim 6, characterized by comprising the following steps of:
the report analysis device creates an intelligent mixing model f (x) according to the electric quantity statistical information x1, the wear early warning information x2, the power statistical information x3 and the vibration monitoring information x4 by a relevance analysis method through a PLC mixing program, and then at least generates daily report information and monthly report information related to a specific user or rubber product, wherein (x) a1x1+ a2x2+ a3x3+ a4x4, a 1-a 4 are preset parameters, x 1-x 4 are independent variables, and f (x) is a strain number, and when the strain number exceeds a standard value range, at least one of the x 1-x 4 is automatically optimized and adjusted.
CN202010765815.4A 2020-08-03 2020-08-03 Intelligent rubber mixing system and method Pending CN111832978A (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2075663A1 (en) * 2007-12-27 2009-07-01 IVECO S.p.A. Method and device for predictive wear analysis of components in use on a vehicle,in particular an industrial or commercial vehicle
CN103632408A (en) * 2013-12-20 2014-03-12 双钱集团(江苏)轮胎有限公司 Inspection system for rubber mixing process
CN208615092U (en) * 2018-06-21 2019-03-19 深圳市赛亿科技开发有限公司 A kind of mixer intelligence control system

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2075663A1 (en) * 2007-12-27 2009-07-01 IVECO S.p.A. Method and device for predictive wear analysis of components in use on a vehicle,in particular an industrial or commercial vehicle
CN103632408A (en) * 2013-12-20 2014-03-12 双钱集团(江苏)轮胎有限公司 Inspection system for rubber mixing process
CN208615092U (en) * 2018-06-21 2019-03-19 深圳市赛亿科技开发有限公司 A kind of mixer intelligence control system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
张海, 马铁军, 钟荣: "密炼机混炼过程功率曲线的作用", 橡胶工业, no. 04, 10 April 1999 (1999-04-10), pages 232 - 234 *
邱立武, 邸志龙, 李文东: "用功率曲线辅助分析密炼机胶料混炼过程", 轮胎工业, no. 11, 10 November 2004 (2004-11-10), pages 689 - 692 *

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