CN113194190A - Intelligent classification processing method for waste mobile phone disassembly fault based on cloud computing - Google Patents
Intelligent classification processing method for waste mobile phone disassembly fault based on cloud computing Download PDFInfo
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Abstract
The invention discloses an intelligent classification processing method for disassembly faults of waste mobile phones based on cloud computing, which comprises the following steps, the processing method is to count the mobile phone faults, upload the mobile phone faults to the cloud computing database to calculate the probability, perfect the disassembly process, arrange the fault detection sequence according to the priority through the cloud computing database, when the fault instruction is transmitted, the cloud computing database downloads the corresponding fault solving instruction to the computer according to the priority fault detection sequence so as to operate the machine to complete fault solving, the invention leads out the fault probability through the computer and the cloud computing database, arranges the fault detection sequence according to the priority, improves the fault detection efficiency, solves the problem of low efficiency of manual disassembly, meanwhile, the cloud computing database is continuously enriched, big data in the field of mobile phone disassembly can be handled, and solutions can be applied more quickly when different faults occur.
Description
Technical Field
The invention relates to the technical field of mobile phone disassembly, in particular to an intelligent classification processing method for disassembly faults of waste mobile phones based on cloud computing.
Background
At present, with the continuous progress of science and technology, mobile phones are developed more and more rapidly, mobile phones are scrapped more and more due to the successive generations of mobile phones, and the problem of waste mobile phone treatment draws more and more social attention. In order to practice a green development concept, the method and the process for disassembling the parts of the mobile phone are designed, and meanwhile, in order to ensure the high efficiency of the mobile phone disassembly, automatic disassembly equipment is adopted to complete the disassembly as much as possible, so that the green development concept of efficient recovery and disassembly of waste mobile phone parts is ensured.
Chinese patent CN202011217107.3 specifically relates to an automatic mobile phone screen-detaching detection device and screen-detaching method capable of effectively preventing the flat cable from being torn off, which includes a mobile phone screen adsorption detaching mechanism rotating around a first rotating shaft, a lower housing clamping mechanism swinging around a second rotating shaft to realize angle turnover, and a detection plug-in connector for realizing circuit conduction with the mobile phone by plugging, wherein the first rotating shaft and the second rotating shaft are vertically arranged and located on the same horizontal plane, the first rotating shaft is collinear with one detached side of the detached mobile phone, and the second rotating shaft is collinear with the other adjacent detached side of the detached mobile phone; the adsorption disassembling mechanism comprises a first motor, a first supporting plate and an adsorption module, wherein the first supporting plate is driven by the first motor to rotate around a first rotating shaft; the lower shell clamping mechanism comprises a third motor, a third supporting plate driven by the third motor to swing around a second rotating shaft, and a shell clamping module fixed on the third supporting plate. The method greatly improves the success rate of mobile phone disassembly, and improves the reliability and detection efficiency of the detection result of the fault mobile phone. However, in the prior art, an efficient disassembly process is lacked to reasonably distribute all disassembly modes, and because the mobile phone parts have complexity and need to be completed by one fault detection, an intelligent classification processing method which combines the mobile phone parts with a cloud computing database aiming at the fault reasons of the mobile phone parts and can complete efficient fault collection and complete disassembly sequences while detecting the faults becomes very important.
Disclosure of Invention
In view of the above, the invention provides an intelligent classification processing method for a disassembly fault of a waste mobile phone based on cloud computing.
In order to achieve the purpose, the invention adopts the following technical scheme: an intelligent classification processing method for waste mobile phone disassembly faults based on cloud computing comprises the following steps:
the processing method includes the steps of counting mobile phone faults, uploading the mobile phone faults to a cloud computing database for computing probability, perfecting a disassembling process, prioritizing fault detection sequences through the cloud computing database, and when fault instructions are transmitted, downloading corresponding fault solving instructions to a computer through the cloud computing database according to the prioritized fault detection sequences so as to control a machine to complete fault solving.
Preferably, the mobile phone fault comprises a mobile phone screw disassembling fault detection problem and solution, a mobile phone rear cover disassembling fault detection problem and solution, a mobile phone camera disassembling fault detection problem and solution, and a mobile phone mainboard disassembling fault detection process and solution.
Preferably, the mobile phone screw disassembling fault detection problem comprises that when the clamp clamping mobile phone reaches the first inspection node mobile phone screw disassembling fault detection area, the disassembling process is to perform coordinate or visual positioning on the screw position, then the disassembling tool arrives at the screw position according to the coordinate position to disassemble, the screw is taken out and placed in the screw recovery area through magnetic force or other methods after the screw is disassembled, in the process, the fault to be detected comprises screw sliding, the disassembling tool and the screw center are biased, the screw rusts, the tool bit rotating direction is not matched with the screw rotating direction, the rotating screw force is not large enough, the trademark blocks, the screw breaks, the tool bit is not matched with the cross groove, the height is not enough during disassembling, the screw falls off due to insufficient magnetic force after the screw is unscrewed, and the equipment is halted.
Preferably, for the problem of the mobile phone screw, when the fault occurs, the mobile phone fault detection is stopped, the computer uploads the fault record to the cloud computing database to calculate the fault occurrence probability, if the tool bit of the disassembled screw is not matched with the screw, a proper screwdriver is found for the screw of the model and is installed in the machine for disassembly, and if the model is not matched, the other screw is replaced by the mobile phone, the screw is manually disassembled independently;
if the problem of thread sliding is that the abrasion of the groove is too large due to too many use times of the screw, the screw is detached by manual operation independently;
if the problem of wire slipping is that stains or powdery rust is stained on the wire slipping problem, manual treatment is directly carried out or each detachable mobile phone is wiped before detachment, and then detachment is carried out;
if the problem of screw thread sliding is caused by screw hole screw thread sliding, manual maintenance is carried out, the screw can be taken out by increasing the friction force of the hole, and the screw can be taken out by glue or a pad or by using a burning method and a cutting method;
for specific manual disassembly and uploading instructions to the computer and then to the cloud computing database, the cloud computing database downloads manual disassembly instructions to the computer so as to operate the clamp to convey the mobile phone to a manual disassembly area;
for the problem of the offset of the disassembling tool and the screw center, when a fault occurs, the fault detection of the mobile phone is stopped, the computer records the fault and uploads the fault to a cloud computing database to calculate the fault occurrence probability, and in the face of the offset, the offset is solved by adjusting the position of the mobile phone or the coordinate point of the disassembling tool;
if the disassembling tool is not aligned with the screw center due to physical factors, the solution is that the position is manually adjusted and changed to a proper position, the position is uploaded to a computer and then to a cloud computing database, and the cloud computing database downloads a manual disassembling instruction to the computer so as to operate a clamp to convey the mobile phone to a manual disassembling area;
for the problem of screw rusting, when a fault occurs, mobile phone fault detection is stopped, a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, and the fault record is manually processed;
the processing is carried out by a vibration, knocking, burning and welding method, and because the processing mode at the present stage mostly depends on manual operation, when a fault is detected, a manual process is transferred to upload an instruction to a computer and then to a cloud computing database, and the cloud computing database downloads a manual disassembly instruction to the computer so as to operate a clamp to convey the mobile phone to a manual disassembly area;
for the disassembly problem caused by the fact that the rotation direction of the cutter head is not matched with the screw rotation direction, when a fault occurs, mobile phone fault detection is stopped, a fault record is uploaded to a cloud computing database by a computer to calculate the fault occurrence probability, and when the fault occurs and the machine screw breaks beyond the yield limit, the rotation direction of the machine screw is matched with the screw rotation direction by changing a disassembly machine program, so that the screw is smoothly screwed out; if the fault is found to occur only in a single mobile phone and can not occur repeatedly, the part of the mobile phones are directly disassembled manually, an instruction is uploaded to a computer and then to a cloud computing database, and the cloud computing database downloads a manual disassembling instruction to the computer so as to operate a clamp to convey the mobile phones to a manual disassembling area;
for the problem that the force of a rotating screw is not large enough, when a fault occurs, the fault detection of the mobile phone is stopped, the computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, whether the screw on the mobile phone is detected to be caused by insufficient disassembling force or not is detected, and then the rotating force of the adjusting machine reaches the disassembling requirement;
for the problem that the screw is blocked by the trademark, when the fault occurs, the mobile phone fault detection is stopped, the computer uploads the fault record to a cloud computing database to calculate the fault occurrence probability, then manual processing is carried out, after the trademark blocking is manually removed, the screw disassembling and detecting process is carried out, and the mobile phone model with the trademark blocking problem is recorded;
if the mobile phones of the model have the trademark blocking problem, recording data through a cloud database, and then processing the trademark of the mobile phone of the model in advance before disassembling;
if the problem only appears in a certain mobile phone, the part of the mobile phones are directly disassembled manually when the fault is detected, and the method is that an uploading instruction is sent to the computer and then sent to the cloud computing database, and the cloud computing database downloads a manual disassembling instruction to the computer so as to operate the clamp to convey the mobile phone to a manual disassembling area;
for the problem of screw breakage, when a fault occurs, mobile phone fault detection is stopped, and the computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability;
if the torsion direction does not exceed the yield limit, firstly checking the rotation direction of a tool bit of the disassembling machine, recording the type of mobile phone, and then, paying attention to the adjustment of the torsion direction when the type of mobile phone is disassembled;
when the screw fracture fault is generated, smoothly taking out the screw, and maintaining the screw by adopting fracture screw taking-out equipment or manual operation, dripping lubricating oil by a lubricating method, reversely knocking to take out the fracture screw, or welding a handle on a fracture section by a welding method and reversely rotating the fracture section;
the manual disassembly process comprises the steps of uploading an instruction to a computer and then to a cloud computing database, and the cloud computing database downloads a manual disassembly instruction to the computer so as to operate a clamp to convey the mobile phone to a manual disassembly area;
for the problem that the tool bit is not matched with the screwing mode of the screw, when the fault occurs, the fault detection of the mobile phone is stopped, the fault record is uploaded to a cloud computing database by a computer to calculate the fault occurrence probability, the types of the mobile phone screws of different models need to be collected and recorded during disassembly, if the disassembly cannot be performed, the faults are recorded firstly, the types of the screws of the mobile phone of the model are checked, the tool bit of the disassembling tool of the disassembling machine is replaced in the same mode as the screwing mode, and the disassembly and the fault detection are performed on the mobile phone screws again after the replacement is finished;
if only the screwing mode of individual mobile phone screws is different, manual disassembly is directly carried out, the disassembly process is that an instruction is uploaded to a computer and then the instruction is sent to a cloud computing database, the cloud computing database downloads a manual disassembly instruction to the computer, and then a clamp is operated to convey the mobile phone to a manual disassembly area;
for the problem of insufficient disassembly height, when a fault occurs, the mobile phone fault detection is stopped, and the computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability;
aiming at the problem of wrong programming coordinates, when the mobile phone screw and other equipment parts are disassembled every time, zero calibration and disassembly inspection are completed on the coordinates, and the accuracy of the coordinates is ensured;
if the coordinates are wrong, updating the equipment coordinates and then completing the mobile phone disassembly;
when the mobile phone position change fault detection is carried out aiming at the mobile phone position problem, the coordinates can be operated by using computer coordinates or visually positioned when the clamp is used for moving; if the positioning coordinates of the clamp are wrong, the zero calibration and the coordinate updating are required to be completed;
if the problem still occurs after correction, the fault uploading computer and fault maintenance are carried out again, the part of the mobile phones are manually disassembled in the maintenance process, the disassembling process is that an uploading instruction is transmitted to the computer and then to a cloud computing database, and the cloud computing database transmits a manual disassembling instruction to the computer so as to control the clamp to convey the mobile phones to a manual disassembling area;
for the problem that the taken-down screw falls off due to insufficient magnetic force or other factors, when a fault occurs, mobile phone fault detection is stopped, and a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability;
if the screw falls off due to insufficient magnetic force, stopping the detection process, taking out the fallen screw, placing the fallen screw in a screw placing area, then checking the equipment problem, then carrying out disassembly fault detection for several times, and continuing to disassemble after no problem is detected;
if the screw cannot be sucked due to physical reasons or rusting of the screw, manual disassembly is carried out, physical factors are avoided in advance, and disassembly detection efficiency is improved; the manual disassembly process is that the user uploads an instruction to the computer and then to the cloud computing database, and the cloud computing database downloads a manual disassembly instruction to the computer so as to operate the clamp to convey the mobile phone to a manual disassembly area;
for the problem of the equipment crash, before the mobile phone disassembly detection, the program and the equipment are checked, abnormal signs and degradation information before the equipment fails are mastered, the running state of the equipment is evaluated, and the equipment is judged to be in a normal or abnormal state.
Preferably, in the process of importing the cloud computing database, a fault tree and a Bayesian network are added to complete probability computation;
the fault tree analysis is a deductive failure analysis method from top to bottom, and the unexpected state in the system is analyzed by using the Boolean logic combination low-order events;
the probability reasoning of the mobile phone disassembly fault tree adopts the fault tree technology to analyze the mobile phone disassembly fault, all minimal cut sets of top events are obtained and converted into knowledge taking a production rule as a main expression form, a rule base is established, and on the basis, the fault diagnosis and reasoning are based on the fault fact, and the heuristic search and matching process is carried out on the rule.
Preferably, after the fault tree for mobile phone disassembly is established, the failure probability of a top event is solved according to the failure probability of a bottom event, a cut set is a set N consisting of a plurality of bottom events, the method is used for mobile phone disassembly fault detection, and the bottom events of all faults are processed into a minimum cut set N by Boolean algebra operation;
suppose that the top event T has n minimal cut sets M1、M2...MnAnd obtaining a fault tree structure function:
ki represents the number of bottom events in the ith minimal cut set;
assuming that each Xi takes 1, the result is 1, which means that when all bottom events occur, a top event must occur, and this structure is called an and gate structure fault tree;
because the minimal cut sets are not mutually exclusive, the same bottom event can be generated to appear in a plurality of minimal cut sets, and the probability of the top event is solved by adopting the repulsion theorem:
preferably, the mobile phone fault tree has 40 minimum cutsThe total number of the components is 240-1≈1.1*1012Adopting an approximate algorithm; the upper and lower limits of the bottom event probability are approximate, and the top event probability is approximate as follows:
preferably, the bottom event is three x1、x2、x3The probability of occurrence of each bottom event is 0.1, and the minimum cut set of the fault tree has M1＝x1x2，M2＝x1x3，M3＝x2x3The calculation is performed according to the repulsion theorem:
upper limit approximation S1＝0.03；
Lower limit of approximate value of S2-S1＝0.027；
Intermediate approximation is S1-(1/2)S2＝0.0285；
Accurately calculating the probability of occurrence of the top event according to the theorem of repulsion-capacitance1-S2+S3＝0.028；
And obtaining an intermediate approximate value close to an accurate calculation value, and finally obtaining the probability of the top event to be 0.0285.
Preferably, analyzing the bottom event, and calculating the structural importance of the bottom event; the occurrence influence degree of each fault is known by calculating the structural importance, and the fault detection sequence is arranged according to the structural importance sequence;
set bottom event to Xi，XiThere are two kinds of state 1 faults, 0 fault does not occur, there are two kinds of state 1 faults or 0 fault does not occur in the top event, and there are four kinds of relations between the top event and the bottom event.
Preferably, in consideration of occurrence of a failure, the top event changes from 0 to 1, i.e., (1) when the bottom event changes to 1i，X)-φ(0i，X)＝1；
At this time, it is explained that the generation of the flow splitting fault affects the fault of the main flow, which causes the fault detection stop of the mobile phone disassembly;
the incompatible combinations of two states of n bottom events are 2n, the ith bottom event is taken as a change object, the states of the other bottom events are corresponding to the unchanged control groups, 2n-1, the ratio is taken as the structural importance, and the structural importance is expressed by the following formula:
there are 4 bottom events, and the number of the two state combinations of the bottom events is 24The state correspondence of the rest bottom events is kept unchanged by 23Structural importance of
And combining the fault probability inference completed by the fault tree with the Bayesian network probability inference to perfect.
The technical scheme of the invention at least has the following advantages and beneficial effects:
(1) according to the invention, the cloud computing is added in the mobile phone fault detection process, so that the fault detection efficiency is improved; when the fault is detected, the fault probability is stored and derived through the cloud computing database, and fault maintenance can be completed by adopting a reasonable solution scheme in time when different faults occur.
(2) According to the invention, when a fault occurs, mobile phone fault detection is stopped, a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, a corresponding fault solution method is converted into an instruction uploading computer, the computer uploads the instruction to the cloud computing database for storage, and when a fault instruction is transmitted, the cloud computing database downloads a corresponding fault solution instruction to the computer so as to operate a machine to complete fault solution; the invention designs the disassembling method and the disassembling process of each part of the mobile phone, and simultaneously adopts automatic disassembly to complete the disassembly in order to ensure the high efficiency of the disassembly of the mobile phone, thereby ensuring the green development idea of the efficient recovery and disassembly of the waste mobile phone parts.
(3) The invention provides a mobile phone disassembly fault detection and analysis process based on cloud computing, which is characterized in that fault probabilities are derived through a computer and a cloud computing database, fault detection sequences are arranged according to priorities, the fault detection efficiency is improved, the problem of low manual disassembly slow efficiency is solved, meanwhile, the cloud computing database is continuously enriched, big data in the field of mobile phone disassembly can be responded, and a solution can be quickly implemented when different faults are met. The process automation degree is high, the process is combined with cloud computing through detailed faults and solutions, the process can be carried out through a computer, a cloud computing database and a transporting device, and the process is more accurate and efficient in manual detection and improves the overall efficiency.
Drawings
FIG. 1 is a main tree diagram of a mobile phone disassembly failure of the present invention;
FIG. 2 is a tree diagram of a mobile phone screw disassembly failure of the present invention;
FIG. 3 is a tree diagram of a mobile phone rear cover disassembly failure according to the present invention;
FIG. 4 is a fault tree diagram for disassembling a camera of a mobile phone according to the present invention;
FIG. 5 is a disassembled fault tree diagram of the main board of the mobile phone according to the present invention;
FIG. 6 is a flow chart of a fault tree disassembly of a mobile phone motherboard according to the present invention;
fig. 7 is a flow chart of an intelligent classification processing method for disassembly faults of waste mobile phones based on cloud computing;
Detailed Description
The invention is described below with reference to the accompanying drawings and specific embodiments.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments.
Thus, the following detailed description of the embodiments of the invention is not intended to limit the scope of the invention as claimed, but is merely representative of some embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making an invasive task, are within the scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", "back", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings or the orientations or positional relationships in which the products of the present invention are usually placed when in use. Such terms are merely used to facilitate describing the invention and to simplify the description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the invention.
It should also be noted that, in the description of the present invention, unless otherwise explicitly specified or limited, the terms "disposed," "mounted," "connected," and "connected" are to be construed broadly and may, for example, be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
As shown in fig. 1 to 7, in the embodiment, cloud computing is added in the mobile phone fault detection process, so that the fault detection efficiency is improved. When a fault is detected, the fault probability is stored and derived through the cloud computing database, fault maintenance can be completed in time by adopting a reasonable solution scheme when different faults occur, the specific process is that mobile phone fault detection stops when the fault occurs, the fault records are uploaded to the cloud computing database by the computer to calculate the fault occurrence probability, a corresponding fault solving method is converted into an instruction uploading computer, the instruction is uploaded to the cloud computing database by the computer to be stored, and when a fault instruction is transmitted, the corresponding fault solving instruction is downloaded to the computer by the cloud computing database to further control the machine to complete fault solving.
In the process of importing the cloud computing database, a fault tree and a Bayesian network are added to complete probability computation.
The fault tree analysis is a top-down deductive failure analysis method, and utilizes Boolean logic combination low-order events to analyze undesired states in the system. Fault tree analysis is mainly used in the fields of safety engineering and reliability engineering to understand the cause of system failure, and find the best way to reduce the risk, or to confirm the occurrence of a certain safety accident or a specific system failure.
The symbols used for the fault tree are shown in table 1:
TABLE 1 Fault Tree symbol name
To facilitate fault tree building, we number faults as shown in table 2
TABLE 2 handset disassembly failure number
The main tree of the mobile phone disassembly fault is shown in fig. 1, the tree of the mobile phone screw disassembly fault is shown in fig. 2, the tree of the mobile phone rear cover disassembly fault is shown in fig. 3, the tree of the mobile phone camera disassembly fault is shown in fig. 4, and the tree of the mobile phone mainboard disassembly fault is shown in fig. 5.
The probability reasoning of the mobile phone disassembly fault tree adopts the fault tree technology to analyze the mobile phone disassembly fault, all minimal cut sets of top events are obtained, the minimal cut sets are converted into knowledge which takes production rules as main expression forms, and a rule base is established. On the basis, the fault diagnosis and reasoning are based on the fault fact, and the heuristic search and matching process is carried out on the rules.
After the fault tree for mobile phone disassembly is built, the failure probability of a top event is obtained according to the failure probability of a bottom event, a cut set is a set N consisting of a plurality of bottom events, when any bottom event of the set N is deleted, the set N is not a cut set, the set N is called a minimum cut set, the method is used for mobile phone disassembly fault detection, and the bottom events of all faults are processed into the minimum cut set through Boolean algebra operation.
We assume that the top event T has n minimal cut sets M1、M2...Mn. Because the bottom events in each cut set are in an and relationship and the minimum cut set is in an or relationship, we derive a fault tree structure function:
ki denotes the number of bottom events in the ith minimal cut set. Assuming that each Xi takes all 1, then 1, it means that when all bottom events occur, the top event must occur, and we refer to this structure as an and gate structure fault tree.
Because the minimal cut sets are not mutually exclusive, the same bottom event can be generated to appear in a plurality of minimal cut sets, so that the probability of the top event is solved by adopting the repulsion theorem:
since the "combinatorial explosion" problem occurs when the minimum number of cutsets is largeIf we assume that there are 40 minimum cut sets in the fault tree of the mobile phone, the total number is 2 according to the rule of repulsion40-1≈1.1*1012So we can use an approximation algorithm. Since the upper and lower limits of the probability of a bottom event are approximate, the probability of a top event is approximately:
for ease of understanding we assume the bottom event to be three x1、x2、x3The probability of occurrence of each bottom event is 0.1, and the minimum cut set of the fault tree has M1＝x1x2，M2＝x1x3，M3＝x2x3Calculated according to the repulsion theorem:
upper limit approximation S1＝0.03；
Lower limit of approximate value of S2-S1＝0.027；
Intermediate approximation is S1-(1/2)S2＝0.0285；
Accurately calculating the probability of occurrence of the top event according to the theorem of repulsion-capacitance1-S2+S3＝0.028；
From this, it is found that the intermediate approximation value is close to the exact calculation value, and therefore the probability of the top event to be finally obtained is 0.0285.
And analyzing the bottom event, and calculating the structural importance of the bottom event. The structural importance reflects the measurement of the contribution of the bottom event to the occurrence of the top event, and the occurrence influence degree of each fault can be known by calculating the structural importance, so that the fault detection sequence is arranged according to the structural importance sequence, and the detection efficiency is improved.
Set bottom event to Xi，XiThere are two 1 state faults, 0 fault and no 0 fault, and there are two 1 state faults for the top eventWhile there are four relationships between top and bottom events, we consider that a fault occurs, so that when a bottom event becomes 1, the top event changes from 0 to 1, i.e., (1) phii，X)-φ(0iX) ═ 1. At this time, the state change of the bottom event plays a role in the occurrence of the top event, and the generation of the branch flow fault affects the fault of the main flow by analogy with the mobile phone disassembly fault detection, so that the mobile phone disassembly fault detection is stopped. The number of mutually incompatible combinations of the two states of the n bottom events is 2 n. When the ith bottom event is taken as a change object, the states of the other bottom events correspond to 2n-1 control groups which are kept unchanged, the ratio is the structural importance, and the structural importance is expressed by the following formula:
for easy understanding, if we assume that there are 4 bottom events, the number of two-state combinations of the bottom events has 24The state correspondence of the rest bottom events is kept unchanged by 23Structural importance of
This is the fault probability inference done through the fault tree, but since the fault tree is a deterministic deductive inference, we need to add bayesian network probability inference to perfect it.
The probability inference based on the Bayesian network is to calculate the prior probability and the posterior probability of the fault node on the basis of establishing a fault Bayesian model for disassembling the mobile phone. The Bayesian network model can be analogized by a fault tree, and then a detailed inference flow is represented by the following flow chart, as shown in FIG. 7.
[1] The problem and the solution of the mobile phone screw disassembly fault detection are as follows:
each check node is listed for a detailed fault and its corresponding solution. When an anchor clamps clamping cell-phone reachs first inspection node cell-phone screw and disassembles the fault detection district, our flow of disassembling is, carry out coordinate or visual positioning to the screw position, then disassemble the instrument and arrive the screw position according to the coordinate position and dismantle, take out the screw through magnetic force or other methods after the screw is disassembled and put the screw recovery district, at this section process, the fault that needs to detect includes that the screw slides the silk, disassemble instrument and screw center biasing, the screw rusts, tool bit direction of rotation and screw are not matchd to, rotatory screw power is not enough, the trade mark blocks, the screw fracture, tool bit and cross recess are not matched, high when disassembling is not enough, because magnetic force is not enough after unscrewing the screw leads to the screw to drop, equipment is halted.
(1) Aiming at each fault, a corresponding solution is needed to solve, for the problem of mobile phone screws, when the fault occurs, mobile phone fault detection is stopped, a computer uploads fault records to a cloud computing database to calculate the fault occurrence probability, the mobile phone sliding thread causes a lot of reasons, and the problems of too strong or too biased power, too large device abrasion and too poor material quality are caused from the physical aspect. If the tool bit of the disassembled screw is not matched with the screw, a proper screwdriver needs to be found for the screw of the type and is installed in the machine for disassembly, if the type is not matched, the other screw is replaced by the mobile phone, the screw needs to be disassembled independently, and manual disassembly is better performed, so that the tool bit does not need to be replaced independently.
If the problem of thread sliding is that the abrasion of the groove is too large due to too many times of using the screw, the screw needs to be detached by manual work alone, and the machine cannot be detached by manual work due to the complex problems, so when the thread sliding caused by too many times of using the screw is detected, the screw is detached by manual work.
If the problem of wire slipping is that stain or powdery rust is stained on the surface of the mobile phone due to long time, people need to directly conduct manual treatment or pay attention to wiping each mobile phone to be dismounted before dismounting, and then dismounting is conducted.
If the problem of screw sliding is caused by screw hole screw sliding, people need to manually maintain the screw, the screw can be taken out by increasing the friction force of the hole, the screw can be taken out by glue or a pad, and the screw can also be used by a firing method and a cutting method.
In fact, the problem of the sliding wire is caused by complex and difficult control, most of machines cannot solve the problem of the sliding wire, some sliding wires are related to the material of the mobile phone screw, and the sliding of the sliding wire is not related to the disassembling method too much, so that the sliding of the sliding wire is mainly treated manually.
For the specific manual disassembly process, the command is uploaded to a computer and then to a cloud computing database, and the manual disassembly command is downloaded to the computer by the cloud computing database so as to operate a clamp to convey the mobile phone to a manual disassembly area.
(2) For the problem of offset of the disassembling tool and the screw center, when a fault occurs, mobile phone fault detection is stopped, the fault record is uploaded to a cloud computing database by a computer to calculate the fault occurrence probability, in the face of offset, the problem can be solved by adjusting the position of a mobile phone or a coordinate point of the disassembling tool, the coordinate point needs to be updated and checked constantly, and the machine is convenient to disassemble.
If the disassembling tool is not aligned with the screw center due to physical factors, people need to pay attention to whether the actual operation is influenced by friction caused by dust entering the machine or the position of the mobile phone or the disassembling tool is changed due to vibration and the like, the solution is to manually adjust and change the position to a proper position, upload an instruction to the computer and then to a cloud computing database, and download a manual disassembling instruction to the computer by the cloud computing database so as to control the clamp to convey the mobile phone to a manual disassembling area.
(3) To the rust problem of screw, cell-phone fault detection stops when the trouble takes place, and the computer with the fault record upload cloud calculation database calculation trouble probability, incorrect disassembly mode can lead to twisting smooth edges and corners, twist off the screw or twist bad disassembling tool when the screw rusts, to this type of problem, machinery also can't solve by oneself, we can change the manual work and handle. The method can be used for processing through vibration, knocking, burning and welding methods, the vibration is that the bolt is loosened through knocking by a tool, the knocking also enables the bolt to fall off through the vibration method, the burning cannot be used for disassembling the mobile phone, the performance of other parts of the mobile phone can be influenced because of high temperature, if the bolt is twisted off due to unreasonable disassembly, an iron bar or flat iron can be welded on the broken bolt, engine oil is dripped to a welding position quickly after the bolt is firmly welded, the flat iron is knocked back and forth along the horizontal direction by a small hammer after the bolt is cooled, and the bolt can be screwed out when the bolt is loosened. The manual process is changed into a manual process, namely, the user uploads an instruction to the computer and then to the cloud computing database, and the cloud computing database downloads a manual disassembling instruction to the computer so as to operate the clamp to convey the mobile phone to a manual disassembling area.
(4) To the problem of disassembling that the tool bit direction of rotation and the screw are mismatched and lead to, cell-phone fault detection stops when the trouble takes place, and the computer with the fault record upload cloud computing database calculation trouble probability, when the mismatch problem appears, if we can lead to the machine screw to exceed yield limit and fracture carelessly adjusting, we can make its direction of rotation and screw revolve to match through changing and disassemble the machine program, and then make the screw smoothly be twisted out. If the fault only appears in a single mobile phone and cannot repeatedly appear, the part of the mobile phones is directly converted into manual disassembly, the manual disassembly instruction is uploaded to the computer and then to the cloud computing database, the manual disassembly instruction is transmitted to the computer by the cloud computing database, and then the clamp is operated to convey the mobile phone to a manual disassembly area.
(5) The problem that the force of a rotary screw is not large enough is solved, when a fault occurs, mobile phone fault detection is stopped, a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, the screw on the mobile phone can be screwed due to repeated assembly and disassembly, if the rotary force of the machine for disassembling other mobile phones normally cannot meet the requirement, the mobile phone which cannot disassemble the screw can detect whether the disassembly force is not large enough, and then the rotary force of the machine is adjusted to meet the disassembly requirement.
(6) To the screw and receive the trade mark problem of blockking, cell-phone fault detection stops when the trouble takes place, and the computer is uploaded the fault record cloud and is calculated the trouble probability of taking place, some model cell-phones, trade company are in order to prevent buyer's self-disassembly machine, places obstacles such as trade mark at the position of can disassembling for screw disassembling equipment can't detect the screw position and also can't separate the trade mark and disassemble. When the problem is met, people need to manually carry out the process, and after the trademark blocking is manually removed, the screw disassembling and detecting process is carried out. We also need to record to having the trade mark to block the cell-phone model of problem, if this model cell-phone all has the trade mark to block the problem, then I record data through cloud database, then handle this model cell-phone trade mark in advance before disassembling, be favorable to reducing to disassemble the problem and appear, improve the screw and disassemble efficiency. If the problem only appears in a certain mobile phone, the part of the mobile phones are directly disassembled manually when the fault is detected, the command is uploaded to the computer and then to the cloud computing database, and the cloud computing database downloads the manual disassembling command to the computer so as to control the clamp to convey the mobile phone to a manual disassembling area.
(7) For the problem of screw breakage, when a fault occurs, mobile phone fault detection stops, a computer uploads fault records to a cloud computing database to compute the probability of the fault, the screw breakage is caused by a plurality of reasons, and screw material problems, the wrong direction of the torsion of the disassembled screw, the too large torsion force applied during disassembly and the wrong direction of the application force applied during disassembly can all cause the screw breakage.
If the torsional direction does not exceed the yield limit, the tool bit is broken due to over-extension under the action of impact load, firstly, the rotating direction of the tool bit of the disassembling machine is checked, the model of the machine is recorded, and then, for the disassembling of the model of the machine, attention is paid to the adjustment of the torsional direction.
Mostly be several kinds of reasons in the cell-phone field of dismantling and produce, firstly buyer disassembles the overtightening of machine with the screw tightening many times, and secondly this cell-phone model number screw is overtightened itself, and the third is that there is glue or viscidity material in screw department, leads to the screw to take off smoothly. After the fault occurs, after the fault is processed, the cloud database records the problem probability, the model is checked, the first reason and the third reason are the individual reasons of the mobile phone, the mobile phone can only be wiped and checked in advance to prevent the fault, the second reason and the third reason are that the torsion force of the disassembling equipment can be adjusted in advance when the mobile phone is disassembled, and if the mobile phone cannot be disassembled smoothly, the screw disassembling of the mobile phone is changed into manual disassembling.
After the screw fracture trouble produced, we will take out the screw smoothly, can adopt fracture screw to take out equipment or change the manual work and maintain, because cell-phone screw belongs to small-size precision part, can't adopt instrument operations such as rotary drill, we can drip into lubricating oil through the lubrication method and then reverse strike and take out fracture screw, also can weld the handle at the fracture cross-section with the welding method and then reverse and come out.
The manual disassembly process comprises the steps that an instruction is uploaded to a computer and then to a cloud computing database, and the cloud computing database downloads the manual disassembly instruction to the computer so as to operate a clamp to convey the mobile phone to a manual disassembly area.
(8) For the problem that a tool bit is not matched with a screwing mode of a screw, mobile phone fault detection stops when a fault occurs, a computer uploads fault records to a cloud computing database to calculate the fault occurrence probability, the screwing mode of the head of the screw comprises an outer hexagon, an inner hexagon, a straight line, a cross, an outer plum blossom, an inner plum blossom and the like, so that the types of mobile phone screws of different models need to be collected and recorded during disassembly, if the mobile phone screws cannot be disassembled, the types of the mobile phone screws are firstly recorded, then the types of the screws of the mobile phone are checked according to the model, the tool bit of a disassembling tool of the disassembling machine is completely replaced in the same mode as the screwing mode, and the mobile phone screws are disassembled and subjected to fault detection again after replacement. If the screwing modes of the screws of the individual mobile phones are different, when the mobile phones have the faults, the mobile phones are directly disassembled manually, the disassembling process is that the mobile phones upload instructions to the computer and then to the cloud computing database, and the cloud computing database downloads the manual disassembling instructions to the computer, so that the clamp is operated to convey the mobile phones to a manual disassembling area.
(9) For the problem that the disassembly height is insufficient, when a fault occurs, mobile phone fault detection stops, a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, and because the disassembly is completed in an ideal state in a mechanical automation mode, if a programming coordinate is wrong or a mobile phone is not in a proper position, the disassembly height is insufficient, and the equipment cannot complete screw disassembly.
Aiming at the problem of wrong programming coordinates, zero calibration and disassembly inspection of the coordinates are required to be completed when mobile phone screws and other equipment parts are disassembled every time, the coordinates are accurate, and if the coordinates are wrong, the equipment coordinates are required to be updated and then the mobile phone disassembly is completed.
Aiming at the problem of the position of a mobile phone, when the mobile phone position change fault is detected, in order to keep an automatic multipurpose clamp to move, the clamp can be used for operating by computer coordinates and also can be used for visually positioning coordinates when moving, and when the position error occurs, the error of the positioning coordinates of the clamp can be caused, and the zero point calibration and the coordinate updating are required to be completed.
If the mobile phone still has a problem after correction, the fault uploading computer and fault maintenance are carried out again, the part of the mobile phone is manually disassembled in the maintenance process, the disassembling process is that the mobile phone uploads an instruction to the computer and then to the cloud computing database, and the cloud computing database downloads a manual disassembling instruction to the computer so as to operate the clamp to convey the mobile phone to a manual disassembling area.
(10) The problem that the removed screws fall off due to insufficient magnetic force or other factors is solved, mobile phone fault detection stops when a fault occurs, a computer uploads fault records to a cloud computing database to calculate the probability of the fault occurrence, in order to guarantee the automation degree of the disassembly detection process, the screws are supposed to be removed through magnetic force or other mechanical means, if the screws fall off due to insufficient magnetic force, the detection flow needs to be stopped timely, the fallen screws are taken out and placed in a screw placement area, then equipment problems are checked, then the disassembly fault detection is carried out for several times, and disassembly is continued after no problem is detected.
If because physics reason or the screw rusts and can't absorb, we just carry out the manual work and disassemble and avoid physical factor in advance, improve and disassemble detection efficiency. The manual disassembly process is that the user uploads an instruction to the computer and then to the cloud computing database, and the cloud computing database downloads a manual disassembly instruction to the computer so as to operate the clamp to convey the mobile phone to a manual disassembly area.
(11) For the problem of equipment crash, before mobile phone disassembly detection, a program and equipment are checked, abnormal signs and degradation information before the equipment breaks down are mastered, the running state of the equipment is evaluated, and the equipment is judged to be in a normal or abnormal state, so that targeted measures can be taken in advance to control and prevent the faults.
We only prevent problems that can arise in the process including:
firstly, whether the exposed and hidden parts of the equipment are clean or not is observed, and whether oil stains, dust, accumulated scraps and the like exist or not is observed.
And secondly, observing whether the cooling liquid of the equipment leaks or not.
And the integrity of the parts of the equipment is checked, and the reliable connection of the fasteners and the neat and reasonable arrangement of the lines are ensured.
And fourthly, checking whether the surface of the route passed by the mobile phone disassembly operation is scratched or damaged.
Checking whether each label of the device is complete and clear.
Sixthly, checking whether the lubricating system is complete or not, and whether the lubricating system is blocked or not and whether the lubricating system is leaked or not are checked.
Checking whether each safety, protection and brake device of the equipment works normally and reliably.
Checking whether the indication and record of the test instrument are correct.
Ninthly, checking whether the periphery of the equipment is clean and tidy without sundries.
[2] The mobile phone rear cover disassembly fault detection and solution method comprises the following steps:
when the clamp clamps the mobile phone and arrives at the second inspection node mobile phone rear cover to dismantle the fault detection area, the known more connection mode of the rear cover is the buckle type connection and the glue connection type connection, the disassembly process of the glue connection type connection is that the rear cover is adsorbed and taken down by using a sucker through heating of a heating plate or soaking of a reagent, and the rear cover is placed in a mobile phone rear cover recovery area. If the connection is in a buckle type, the buckle of the rear cover is opened by a clamping needle mechanically, then the rear cover is adsorbed and taken down by a sucker, and the taken-down rear cover is placed in a rear cover recovery area. In the two disassembling processes, the faults needing to be detected include insufficient suction force of a sucker, insufficient heating temperature, wrong disassembling mode, greasy dirt and dust on a rear cover, mismatching of the position of the sucker and the position of the rear cover, failure of a mobile phone to disassemble, insufficient descending position of the sucker, insufficient soaking time, failure in fixing the mobile phone and equipment crash.
(1) Aiming at each fault, a corresponding solution is needed to solve, the problem of insufficient suction force of a sucker is solved, when the fault occurs, mobile phone fault detection stops, a computer uploads fault records to a cloud computing database to calculate the fault occurrence probability, the solution for the problem of insufficient suction force of the sucker is to adjust the size of the suction force of a machine to meet the requirement of sucking a rear cover, a fault processing method is converted into an instruction to be transmitted into the computer, the computer processes the data and uploads the processed data to a cloud database to store the solution, and when the fault instruction is transmitted, the cloud computing database downloads the solution instruction to the computer to further operate the machine to complete fault solution. If the back cover suction cannot be completed, the command is uploaded to the computer and then to the cloud computing database, and the manual disassembling command is transmitted to the computer by the cloud computing database, so that the clamp is operated to convey the mobile phone to a manual disassembling area.
(2) For the problem of insufficient heating temperature, when a fault occurs, mobile phone fault detection is stopped, a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, a mechanical heating device is adjusted to solve the problem of insufficient heating temperature, the heating temperature is increased, attention needs to be paid to the fact that the heating temperature does not exceed the bearing range of mobile phone parts, the fault processing method is converted into a command uploading computer, the command is uploaded to the cloud computing database by the computer to be stored, and when a fault command is transmitted, the cloud computing database downloads the corresponding fault solving command to the computer to operate the machine to complete fault solving. If the temperature requirement is still not met or the temperature requirement is too high, parts of the mobile phone can be damaged, the command is uploaded to the computer and then to the cloud computing database, and the cloud computing database downloads the manual disassembling command to the computer so as to operate the clamp to convey the mobile phone to a manual disassembling area.
(3) For the problem of a disassembling mode error, mobile phone fault detection is stopped when a fault occurs, a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, most of the disassembling mode error problems are caused by the fact that bayonet connection and adhesive connection are not clear, so that the connection mode of a mobile phone of the type is required to be analyzed and clear, the mobile phone type, the mobile phone connection mode and the corresponding disassembling mode are converted into a solution instruction in series to be uploaded to the computer, the computer uploads the cloud computing database, and when a fault instruction is transmitted, the cloud computing database downloads the corresponding fault solution instruction to the computer to control a machine to complete fault solution method conversion. If the connection mode of the mobile phone is different from the original connection mode of the mobile phone body for human change, the mobile phone needs to be manually disassembled, the mobile phone uploads an instruction to the computer and then to the cloud computing database, and the cloud computing database downloads the manual disassembly instruction to the computer so as to control the clamp to convey the mobile phone to a manual disassembly area.
(4) The problem that a mobile phone rear cover is polluted by oil and dust is solved, when a fault occurs, mobile phone fault detection stops, a computer uploads fault records to a cloud computing database to calculate the fault occurrence probability, the problem that the oil and dust is polluted is solved, when the rear cover generates dust, suction of a sucker is influenced, the computer can clean the mobile phone before disassembly through a mechanical blowing device, most machines with oil and dust cannot process the oil and dust, the mobile phone can be cleaned and wiped by the mobile phone before disassembly, a fault solving method is converted into an instruction uploading computer, the computer uploads the cloud computing database, and when a fault instruction is transmitted, the cloud computing database downloads a corresponding fault solving instruction to the computer to operate the machines to complete fault solving. If the problem of oil stain and dust of the mobile phone cannot be solved, people need to clean the mobile phone manually, the mobile phone uploads an instruction to the computer and then sends the instruction to the cloud computing database, and the cloud computing database downloads a manual disassembling instruction to the computer and then controls the clamp to convey the mobile phone to a manual disassembling area. Because the dust and oil stain can not be well relied on, if the fault probability of the batch of mobile phone oil stain and dust is too high, the mobile phone cleaning is carried out manually in advance when the batch of mobile phones are disassembled.
(5) For the problem that the position of a sucker is not matched with the position of a rear cover, when a fault occurs, mobile phone fault detection is stopped, a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, and for the problem that the position of the sucker is not matched with the position of the rear cover, a user needs to check whether a sucker programming coordinate point is wrong or not, update the coordinate position in time and check whether a machine has dust and oil dirt to generate friction to cause deviation or not, for the position deviation caused by physical factors such as machine vibration or wind blowing, reasonable measures are taken to find the problem, and after the problem and the solution are found, we convert this concatenation into instructions to upload to a computer, which uploads to a cloud computing database, when the fault instruction is transmitted, the cloud computing database downloads the corresponding fault solving instruction to the computer so as to control the machine to complete fault solving. If the position of the sucker is still not matched with the position of the rear cover, if the coordinates are not processed, people directly change the mobile phone to manual work for disassembly, if external factors cannot be solved, people also directly change the mobile phone to manual work for disassembly, the mobile phone uploads an instruction to the computer and then to the cloud computing database, and the cloud computing database downloads a manual disassembly instruction to the computer so as to operate the clamp to convey the mobile phone to a manual disassembly area.
(6) For the problem that a mobile phone does not reach a disassembly position, when a fault occurs, mobile phone fault detection stops, a computer records the fault and uploads a fault to a cloud computing database to calculate the fault occurrence probability, for the problem that the mobile phone does not reach the disassembly position, the computer checks whether a mobile phone positioning coordinate is wrong or not, updates the coordinate, performs disassembly inspection and zero point calibration in time, if the problem is due to vibration and mechanical oil stain deviation, the computer needs to clean and avoid in time, after the problem and a solution are found, the serial connection of the problem and the solution is converted into an instruction to upload to the computer, the computer uploads the cloud computing database, and when a fault instruction is transmitted, the cloud computing database downloads a corresponding fault solution instruction to the computer so as to operate the machine to complete fault solution. If the mobile phone still does not reach the disassembling position, the coordinate is found to be still incorrect, the coordinate is planned again, the mobile phone is firstly manually disassembled until the coordinate planning is completed, if the coordinate is due to external factors, the mobile phone is also directly manually disassembled until the problem is solved, the mobile phone uploads an instruction to a computer and then to a cloud computing database, and the cloud computing database downloads a manual disassembling instruction to the computer so as to control a clamp to convey the mobile phone to a manual disassembling area.
(7) For the problem that the falling position of a sucker is not enough, when the fault occurs, mobile phone fault detection stops, a computer uploads fault records to a cloud computing database to calculate the fault occurrence probability, the problem that the falling position of the sucker is not enough needs to be noticed whether the fault is a coordinate error problem or not, coordinate updating, disassembly inspection and zero point calibration are carried out on the machine in time, if the fault is caused by external factors, the problem needs to be solved and avoided in time, after the problem and a solution are found, the serial connection of the problem and the solution is converted into instructions to be uploaded to the computer, the computer uploads the cloud computing database, and when the fault instruction is transmitted, the cloud computing database downloads the corresponding fault solution instruction to the computer so as to operate the machine to complete fault solution. If the landing position of the sucker is still insufficient, if the problem is detected to be due to the coordinate problem, the coordinate is planned again, the mobile phone is firstly manually disassembled until the coordinate planning is completed, if the problem is detected to be due to external factors, the manual disassembly is directly performed until the problem is avoided, the mobile phone uploads an instruction to the computer and then to the cloud computing database, and the cloud computing database downloads a manual disassembly instruction to the computer so as to control the clamp to convey the mobile phone to a manual disassembly area.
(8) For the problem of insufficient soaking time, when a fault occurs, mobile phone fault detection is stopped, a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, and for the problem of insufficient soaking time, the method mainly aims at the problem that a glue-connected mobile phone needs to be soaked in a solution to be taken down to a back shell, if the glue is not completely dissolved due to insufficient soaking time, the back shell is broken and a mechanical accident occurs during disassembly, so when the problem is found, the glue is completely dissolved by increasing the soaking time of the mobile phone, the fault processing method is converted into an instruction to be uploaded to the computer, the computer uploads the cloud computing database, and when a fault instruction is transmitted, the cloud computing database downloads a corresponding fault solution instruction to the computer to operate the machine to complete fault solution. If the glue is not completely dissolved, if the glue is completely dissolved, soaking for a longer time to check whether the glue is time problem, if the glue is still not dissolved, checking solution components to replace the solution, changing the mobile phone to manual disassembly during the period, if the glue of the individual mobile phone is not dissolved, probably because the buyer carries out disassembly and installation, changing the individual mobile phone to manual disassembly, uploading a command to a computer and then to a cloud computing database, and downloading a manual disassembly command to the computer by the cloud computing database so as to operate a clamp to convey the mobile phone to a manual disassembly area.
(9) For the problem that a mobile phone is not fixed, when a fault occurs, fault detection of the mobile phone stops, a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, and for the problem that the mobile phone is not fixed, if the fault is not fixed, a sucker can suck a rear shell to move away, the mobile phone is directly lifted up, and the rear shell cannot be disassembled smoothly. If the mobile phone is not fixed well, the mobile phone needs to be checked whether the whole fixing device has a problem or not, the fixing device is repaired in time, the mobile phone is disassembled manually in the repairing process, an instruction is uploaded to a computer and then to a cloud computing database, and the cloud computing database transmits a manual disassembling instruction to the computer so as to operate a clamp to convey the mobile phone to a manual disassembling area.
(10) For the problem of equipment crash, the solution is consistent with the mobile phone screw disassembly fault detection area.
[3] The problem of fault detection and solution for disassembling the mobile phone camera are as follows:
when the clamp clamps the mobile phone to reach the third inspection node mobile phone camera disassembly fault detection area, the connection modes of the mobile phone cameras include soldering tin connection, BTB connector connection and ZIF connector connection. The disassembly mode for connecting the soldering tin comprises manual tin absorber disassembly, electric tin absorbing gun disassembly and hot air gun disassembly, the specific disassembly process comprises coordinate or visual positioning of the camera connecting position, then the disassembly tool achieves the connecting position according to the coordinate position to disassemble the camera, and the clamp conveys the disassembled camera to the camera recovery area. For the BTB connector, the BTB connector is mainly used for realizing mechanical and electrical connection of two PCBs of the connector, the disassembling mode is that an actuator is lifted to release a locking device, then a camera is taken out, the specific disassembling process is that coordinate or visual positioning is carried out on the connection position of the camera, then a disassembling tool achieves the connection position according to the coordinate position to disassemble the camera, and the clamp conveys the disassembled camera to a camera recovery area. For ZIF connector connection, our disassembling mode is for opening the locking closure and extract the camera, and specific disassembling flow is for carrying out coordinate or visual positioning to camera hookup location, then disassembles the instrument and arrives the hookup location according to the coordinate position and pull down the camera, and anchor clamps will transport the camera of pulling down to the camera recovery area. In the three disassembling processes, faults needing to be detected include that the soldering tin processing temperature does not reach the standard, the soldering tin heating time is too short or too long, the heating position deviates, the clamp or disassembling tool does not reach the camera position, the falling height of the clamp or disassembling tool is too low or too high, a mobile phone does not reach the disassembling position, the disassembling force of a connector is too large or insufficient, the ZIF connector is not leveled during disassembling, and equipment is halted.
(1) For the problem that the soldering tin processing temperature does not reach the standard, when the fault occurs, the fault detection of the mobile phone is stopped, the computer uploads the fault record to the cloud computing database to calculate the fault occurrence probability, for the camera connected by soldering tin, whatever disassembly mode is adopted, the camera is quickly taken out while the soldering tin is melted by high temperature, if the temperature is too low, the camera cannot be taken out, and if the temperature is too high, the camera is damaged, when the fault instruction is generated, the temperature of the equipment needs to be checked whether to be the standard temperature or not, if the temperature is wrong, the temperature is required to be modified in time, the fault solving method is converted into an instruction to be uploaded to a computer, the computer uploads a cloud computing database, when the fault instruction is transmitted, the cloud computing database downloads the corresponding fault solving instruction to the computer so as to operate the machine to complete fault solving. If the temperature is found to be not up to the standard, the fault uploading operation of the computer and the temperature checking are carried out again, manual disassembly is carried out when the temperature is not up to the standard for two times, instructions are uploaded to the computer and then to the cloud computing database, and the cloud computing database downloads the manual disassembly instructions to the computer so as to control the clamp to convey the mobile phone to a manual disassembly area.
(2) For the problem that the heating time of soldering tin is too short or too long, when a fault occurs, mobile phone fault detection stops, a computer uploads fault records to a cloud computing database to calculate the fault occurrence probability, if the heating time is too short for soldering tin disassembly, a camera cannot be disassembled, if the heating time process can cause damage to the camera, when a fault instruction arrives, the heating time setting of equipment needs to be checked timely, the adjustment time is modified to be proper, the fault solution is converted into an instruction uploading computer, the computer uploads the cloud computing database, and when the fault instruction is transmitted, the cloud computing database downloads a corresponding fault solution instruction to the computer so as to control a machine to complete fault solution. If the time is still not properly adjusted, the computer is uploaded for faults and the temperature setting is checked again, manual disassembly is carried out when the time for heating the mobile phone exceeds two times and is not enough, instructions are uploaded to the computer and then to a cloud computing database, the cloud computing database downloads the manual disassembly instructions to the computer, and then the clamp is operated to send the mobile phone to a manual disassembly area.
(3) For the problem of deviation of a heating position, when a fault occurs, mobile phone fault detection stops, a computer uploads a fault record to a cloud computing database to compute the fault occurrence probability, a heating gun is disassembled for soldering tin or heating equipment is aligned to a soldering tin position, as a camera belongs to a precise part and is connected with a main board, if a proper heating position is not found, the main board is easy to damage or the camera is damaged, when a fault instruction arrives, the coordinate position of the heating equipment needs to be checked to update coordinates, disassembly inspection, zero calibration and repeated experiments are carried out, then the fault processing method is converted into an instruction uploading computer, the computer uploads the cloud computing database, and when the fault instruction is transmitted, the cloud computing database downloads a corresponding fault solution instruction to the computer so as to operate the machine to complete fault solution. If the mobile phone is not properly adjusted, the fault uploading of the computer and the disassembly inspection, zero point calibration and coordinate updating of the heating equipment are carried out again, the mobile phone is manually disassembled in the renovating process, an instruction is uploaded to the computer and then to a cloud computing database, and the cloud computing database downloads the manual disassembling instruction to the computer so as to control the clamp to send the mobile phone to a manual disassembling area.
(4) For the problem that the clamp or the disassembling tool does not reach the position of the camera, when the fault occurs, mobile phone fault detection stops, the computer uploads fault records to the cloud computing database to calculate the fault occurrence probability, the clamp does not reach the position of the camera to influence the taking out and storage of the camera after disassembly, and the disassembling tool does not reach to cause disassembly failure. If the clamp or the disassembling tool still does not reach the designated position, the computer is uploaded again, the equipment is checked and disassembled again, the zero point calibration and the coordinate updating are carried out, the mobile phone is disassembled manually in the renovating process, the command is uploaded to the computer and then to the cloud computing database, and the manual disassembling command is transmitted to the computer by the cloud computing database, so that the clamp is operated to transmit the mobile phone to the manual disassembling area.
(5) For the problem that the dropping height of a clamp or a disassembling tool is too low or too high, when a fault occurs, mobile phone fault detection stops, a computer uploads fault records to a cloud computing database to calculate the fault occurrence probability, when the dropping height of the clamp or the disassembling tool is too high or too low, the damage that a camera cannot be taken down, the camera is damaged and the like is caused, whether coordinates of the clamp and the disassembling tool are accurate or not is checked, the clamp and the disassembling tool are subjected to disassembling inspection, zero point calibration and repeated experiments, then the fault processing method is converted into an instruction to be uploaded to the computer, the computer uploads the cloud computing database, and when a fault instruction is transmitted, the cloud computing database downloads a corresponding fault solving instruction to the computer so as to control the machine to complete fault solving. If the clamp or the disassembling tool still does not reach the designated position, the computer is uploaded again, the equipment is checked and disassembled again, the zero point calibration and the coordinate updating are carried out, the mobile phone is manually disassembled in the renovating process, the command is uploaded to the computer and then to the cloud computing database, and the manual disassembling command is transmitted to the computer by the cloud computing database, so that the clamp is operated to transmit the mobile phone to the manual disassembling area.
(6) For the problem that the mobile phone does not reach the disassembly position, when the fault occurs, the fault detection of the mobile phone is stopped, the computer records the fault and uploads a fault record to the cloud computing database to calculate the fault occurrence probability, and the disassembly of the mobile phone can cause disassembly failure, damage to mobile phone parts and other hazards when the fault does not reach the disassembly position. If the mobile phone still does not reach the disassembling position possibly because the coordinate still has a problem, the fault uploading computer, the coordinate repositioning and the zero point calibration are carried out again, the mobile phone is disassembled manually in the repairing process, the mobile phone uploads an instruction to the computer and then to the cloud computing database, and the cloud computing database downloads a manual disassembling instruction to the computer and then controls the clamp to send the mobile phone to a manual disassembling area.
(7) For the problem of overlarge or insufficient connector detaching force, when the fault occurs, the mobile phone fault detection is stopped, the computer uploads the fault record to the cloud computing database to compute the fault occurrence probability, for the connection of the BTB connector and the ZIF connector, a manipulator is required to complete the process of opening a lock cover or locking in the disassembling process, because the connector is precise and is easily damaged by improper operation, reasonable disassembly force is particularly important, and when a fault instruction is transmitted, the failure solution is converted into instructions to upload to a computer, the computer uploads to a cloud computing database, and when the fault instruction is transmitted, the cloud computing database downloads the corresponding fault solving instruction to the computer so as to control the machine to complete fault solving. If the connector is still damaged due to unreasonable disassembly force, the machine is required to be adjusted, restarted and checked again, the mobile phone is manually disassembled in the renovating process, instructions are uploaded to the computer and then to the cloud computing database, and manual disassembly instructions are transmitted to the computer by the cloud computing database, so that the mobile phone is sent to a manual disassembly area by the operation clamp.
(8) For the problem that the ZIF connector is not horizontal during disassembly, when the fault occurs, the mobile phone fault detection is stopped, the computer uploads the fault record to the cloud computing database to calculate the fault occurrence probability, for ZIF connectors, we have to pay attention to horizontal insertion when the manipulator is inserted into the lock opener, because the lock cover is deformed and damaged when an external force which is deviated to one side is locally applied or the edge of the lock cover is applied, poor contact of the terminal is caused when the lock cover is not completely closed, therefore, when a fault instruction is transmitted, the robot needs to check whether the manipulator is horizontally inserted into the unlocking device or not, adjust the coordinate insertion position of the manipulator, perform repeated experiment inspection and then disassemble again, convert the fault solution into an instruction uploading computer, upload a cloud computing database by the computer, and when the fault instruction is transmitted, the cloud computing database uploads a corresponding fault solution instruction to the computer so as to control the machine to complete fault solution. If the disassembly fails, the fault uploading of the computer and the coordinate inspection and debugging of the manipulator need to be carried out again, the mobile phone is manually disassembled in the renovating process, instructions are uploaded to the computer and then to the cloud computing database, and the cloud computing database downloads manual disassembly instructions to the computer so as to control the clamp to send the mobile phone to a manual disassembly area.
(9) For the problem of equipment crash, the solution is consistent with the mobile phone screw disassembly fault detection area.
When a clamp clamps a mobile phone to reach a fourth inspection node mobile phone mainboard disassembly fault detection area, before disassembling the mainboard, a user needs to take out an SIM card holder, disassemble a mainboard connecting screw, disassemble a protection iron sheet, disassemble a flat cable interface buckle, disassemble a Wifi antenna and the like, then disassemble the mainboard, the specific disassembly process is to perform coordinate positioning or visual positioning on each part of the mobile phone mainboard, operate a machine to complete the disassembly of the parts such as the screw, the flat cable, the protection iron sheet, the card holder and the like, the first inspection point fault detection method and the cloud computing database probability calculation are adopted when the problem of the screw fault is encountered in the disassembly process, and the fault detection of other parts cannot complete the disassembly machinery in actual application, therefore, without discussion, after the parts are disassembled, the whole main board is subjected to visual or coordinate positioning, and the mechanical arm takes out the main board from the mobile phone and puts the main board in a main board recovery area to complete the disassembly of the main board. The faults needing to be detected in the disassembling process include screw fault detection in a first detection point, inaccurate main board positioning, incapability of taking out the main board due to the influence of other parts of a mobile phone, problems caused by secondary disassembling of a buyer and equipment crash.
[4] The mobile phone mainboard disassembly fault detection process and the solution are as follows:
(1) and for the screw detection fault, a first detection point fault detection method and cloud computing database probability computation are adopted.
(2) The method comprises the steps that for the problem that a mainboard is inaccurate in positioning, mobile phone fault detection stops when a fault occurs, a computer uploads fault records to a cloud computing database to calculate fault occurrence probability, the problem that disassembly fails and the mainboard is damaged due to inaccurate positioning of the mainboard is solved, when a fault instruction is transmitted, disassembly inspection, zero point calibration and coordinate updating are carried out on positioning machinery and equipment causing the fault, then repeated experiments are carried out for multiple times, then the mobile phone mainboard is disassembled, the fault solving method is converted into an instruction to be uploaded to the computer, the computer uploads the cloud computing database, and when the fault instruction is transmitted, the cloud computing database downloads a corresponding fault solving instruction to the computer to further operate the machinery to complete fault solving. If the positioning still has problems, the fault uploading computer and the equipment coordinate correction are carried out again, the mobile phone is manually disassembled in the renovating process, the mobile phone uploads an instruction to the computer and then to the cloud computing database, and the cloud computing database downloads a manual disassembling instruction to the computer so as to operate the clamp to send the mobile phone to a manual disassembling area.
(3) For the problem that a main board cannot be taken out due to the influence of other parts of the mobile phone, when a fault occurs, the fault detection of the mobile phone is stopped, a computer uploads fault records to a cloud computing database to calculate the fault occurrence probability, the problems that repeated disassembly or high damage degree cannot be avoided due to the fact that the mobile phone is recycled again, for example, the screw cannot meet the required specification, the mechanical disassembly cannot be carried out to generate the residual, the disassembly failure of a wire arrangement cannot be solved easily by a mechanical method, when the problems occur, the mobile phone is directly manually disassembled, the manual transfer efficiency is improved for the serious damage or the disassembly cannot be completed, instructions are uploaded to the computer and then to the cloud computing database, and manual disassembly instructions are transmitted to the computer under the cloud computing database to operate a clamp to transmit the mobile phone to a manual disassembly area.
(4) For the problem caused by secondary disassembly of a buyer, when the fault occurs, the fault detection of a mobile phone is stopped, the fault record is uploaded to a cloud computing database by a computer to calculate the fault occurrence probability, the same disassembly difficulty exists between the fault and the problem that a main board cannot be taken out by other parts, and the disassembly cannot be completed by machinery.
(5) For the problem of equipment crash, the solution is consistent with the mobile phone screw disassembly fault detection area.
TABLE 3 handset disassembly trouble
The above detailed fault detection processes and fault solutions, and the close combination of the cloud computing databases completed for each fault detection process achieve high efficiency and mechanization requirements, and the fault detection system is perfected by continuously enriching the cloud computing databases. The method for analyzing and solving the faults of the four nodes and the sub-flows thereof is listed, so that the overall fault detection flow is enriched, an effective solving and processing method is provided, and a reasonable basis is provided for the subsequent mobile phone disassembling flow.
The above embodiments are merely illustrative and not restrictive of the technical solutions of the present invention. Any modification or partial replacement without departing from the spirit of the present invention should be covered in the scope of the claims of the present invention.
Claims (10)
1. An intelligent classification processing method for waste mobile phone disassembly faults based on cloud computing is characterized by comprising the following steps:
the processing method includes the steps of counting mobile phone faults, uploading the mobile phone faults to a cloud computing database for computing probability, perfecting a disassembling process, prioritizing fault detection sequences through the cloud computing database, and when fault instructions are transmitted, downloading corresponding fault solving instructions to a computer through the cloud computing database according to the prioritized fault detection sequences so as to control a machine to complete fault solving.
2. The intelligent classification processing method for the disassembly fault of the waste mobile phone based on the cloud computing as claimed in claim 1, characterized in that: the mobile phone faults comprise a mobile phone screw disassembling fault detection problem and a solution, a mobile phone rear cover disassembling fault detection problem and a solution, a mobile phone camera disassembling fault detection problem and a solution, and a mobile phone mainboard disassembling fault detection process and a solution.
3. The intelligent classification processing method for the disassembly fault of the waste mobile phone based on the cloud computing as claimed in claim 1, characterized in that:
the mobile phone screw disassembling fault detection problem comprises that when a clamp clamping mobile phone reaches a first inspection node mobile phone screw disassembling fault detection area, a disassembling process is carried out, coordinate or visual positioning is carried out on the position of a screw, then a disassembling tool reaches the position of the screw according to the coordinate position to disassemble, the screw is taken out through magnetic force or other methods after the screw is disassembled and is placed in a screw recovery area, in the process, faults needing to be detected comprise screw sliding, the disassembling tool and the center of the screw are biased, the screw rusts, the rotating direction of a tool bit is not matched with the rotating direction of the screw, the force of the rotating screw is not large enough, a trademark blocks, the screw breaks, the tool bit is not matched with a cross groove, the height is not enough during disassembling, the screw falls off due to insufficient magnetic force after the screw is unscrewed, and equipment is halted.
4. The intelligent classification processing method for the disassembly fault of the waste mobile phone based on the cloud computing as claimed in claim 3, characterized in that:
for the problem of mobile phone screws, when a fault occurs, mobile phone fault detection is stopped, a computer uploads fault records to a cloud computing database to calculate the fault occurrence probability, if the tool bit of a disassembled screw is not matched with a screw, a proper screwdriver is found for the screw of the type and is installed in a machine to be disassembled, and if the type is not matched, the screw is replaced by a mobile phone, manual disassembly is independently performed;
if the problem of thread sliding is that the abrasion of the groove is too large due to too many use times of the screw, the screw is detached by manual operation independently;
if the problem of wire slipping is that stains or powdery rust is stained on the wire slipping problem, manual treatment is directly carried out or each detachable mobile phone is wiped before detachment, and then detachment is carried out;
if the problem of screw thread sliding is caused by screw hole screw thread sliding, manual maintenance is carried out, the screw is taken out by increasing the friction force of the hole, and the screw is taken out through glue or padding, or a burning method and a knife carving method are used;
for specific manual disassembly and uploading instructions to the computer and then to the cloud computing database, the cloud computing database downloads manual disassembly instructions to the computer, and then the clamp is operated to convey the mobile phone to a manual disassembly area;
for the problem of offset of the disassembling tool and the screw center, when a fault occurs, the fault detection of the mobile phone is stopped, the computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, and the offset is faced, so that the problem is solved by adjusting the position of the mobile phone or the coordinate point of the disassembling tool;
if the disassembling tool is not aligned with the screw center due to physical factors, the solution is that the position is manually adjusted and changed to a proper position, the command is uploaded to the computer and then to the cloud computing database, and the cloud computing database downloads the manual disassembling command to the computer so as to operate the clamp to convey the mobile phone to a manual disassembling area;
for the problem of screw rusting, when a fault occurs, mobile phone fault detection is stopped, a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, and manual processing is carried out;
the mobile phone is processed by a vibration, knocking, burning and welding method, wherein a manual process is converted into an uploading instruction to a computer and then to a cloud computing database, and the cloud computing database downloads a manual disassembling instruction to the computer so as to operate a clamp to convey the mobile phone to a manual disassembling area;
for the disassembly problem caused by the fact that the rotation direction of the cutter head is not matched with the screwing direction of the screw, when the fault occurs, the mobile phone fault detection is stopped, the computer uploads the fault record to the cloud computing database to calculate the fault occurrence probability, and when the machine screw breaks due to the fact that the fault occurs and the machine screw exceeds the yield limit, the rotation direction of the machine screw is matched with the screwing direction of the screw by changing a disassembly machine program, so that the screw is smoothly screwed out; if the fault is found to occur only in a single mobile phone and not to occur repeatedly, the part of the mobile phones is directly converted into manual disassembly, an instruction is uploaded to a computer and then to a cloud computing database, the cloud computing database downloads the manual disassembly instruction to the computer, and then a clamp is operated to convey the mobile phones to a manual disassembly area;
for the problem that the force of a rotating screw is not large enough, when a fault occurs, the fault detection of the mobile phone is stopped, the computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability, whether the screw on the mobile phone is detected to be caused by the insufficient disassembling force or not is detected, and then the rotating force of the machine is adjusted to meet the disassembling requirement;
for the problem that the screw is blocked by the trademark, when the fault occurs, the mobile phone fault detection is stopped, the computer uploads the fault record to the cloud computing database to calculate the fault occurrence probability, then manual operation is carried out, after the trademark blocking is manually removed, the screw disassembling and detecting process is carried out, and the mobile phone model with the trademark blocking problem is recorded;
if the mobile phones of the models have the trademark blocking problem, recording data through a cloud database, and then processing the trademarks of the mobile phones of the models in advance before disassembling;
if the problem only appears in a certain mobile phone, the part of mobile phones are directly manually disassembled and uploaded to the computer and then to the cloud computing database when the fault is detected, and the cloud computing database downloads a manual disassembling instruction to the computer so as to operate the clamp to convey the mobile phone to a manual disassembling area;
for the problem of screw breakage, when a fault occurs, mobile phone fault detection is stopped, and a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability;
if the torsion direction does not exceed the yield limit, firstly checking the rotation direction of a tool bit of the disassembling machine, recording the type of mobile phone, and then, paying attention to the adjustment of the torsion direction when the type of mobile phone is disassembled;
when the screw fracture fault is generated, smoothly taking out the screw, and maintaining the screw by adopting fracture screw taking-out equipment or manual work, dripping lubricating oil by a lubricating method, reversely knocking to take out the fracture screw, or welding a handle on a fracture section by a welding method and then reversely rotating the fracture screw;
the manual disassembly process comprises the steps of uploading instructions to a computer and then to a cloud computing database, and the cloud computing database downloads the manual disassembly instructions to the computer so as to operate a clamp to convey the mobile phone to a manual disassembly area;
for the problem that the tool bit is not matched with the screwing mode of the screw, when the fault occurs, the fault detection of the mobile phone is stopped, the fault record is uploaded to a cloud computing database by a computer to calculate the fault occurrence probability, the types of the mobile phone screws of different models need to be collected and recorded during disassembly, if the disassembly cannot be realized, the faults are recorded firstly, the types of the screws of the mobile phone of the model are checked, the tool bit of the disassembling tool of the disassembling machine is replaced in the same mode as the screwing mode, and the disassembly and the fault detection are carried out on the mobile phone screws again after the replacement is finished;
if only the screwing mode of individual mobile phone screws is different, manual disassembly is directly carried out, the disassembly process is that an instruction is uploaded to a computer and then the instruction is sent to a cloud computing database, the cloud computing database downloads a manual disassembly instruction to the computer, and then a clamp is operated to convey the mobile phone to a manual disassembly area;
for the problem of insufficient disassembly height, when a fault occurs, the mobile phone fault detection is stopped, and the computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability;
aiming at the problem of wrong programming coordinates, when the mobile phone screw and other equipment parts are disassembled every time, zero calibration and disassembly inspection are completed on the coordinates, and the accuracy of the coordinates is ensured;
if the coordinates are wrong, updating the equipment coordinates and then completing the mobile phone disassembly;
when the mobile phone position change fault detection is carried out aiming at the mobile phone position problem, the coordinates can be operated by using computer coordinates or visually positioned when the clamp is used for moving; if the positioning coordinates of the clamp are wrong, the zero calibration and the coordinate updating are required to be completed;
if the mobile phone is still in a problem after correction, the fault uploading computer and fault maintenance are carried out again, the part of the mobile phone is manually disassembled in the maintenance process, the disassembling process is that an uploading instruction is sent to the computer and then sent to the cloud computing database, and the cloud computing database sends a manual disassembling instruction to the computer so as to control the clamp to convey the mobile phone to a manual disassembling area;
for the problem that the taken-down screw falls off due to insufficient magnetic force or other factors, when a fault occurs, mobile phone fault detection is stopped, and a computer uploads a fault record to a cloud computing database to calculate the fault occurrence probability;
if the screw falls off due to insufficient magnetic force, stopping the detection process, taking out the fallen screw, placing the fallen screw in a screw placing area, then checking the equipment problem, then carrying out disassembly fault detection for several times, and continuing to disassemble after no problem is detected;
if the screw cannot be sucked due to physical reasons or rusting of the screw, manual disassembly is carried out, physical factors are avoided in advance, and the disassembly detection efficiency is improved; the manual disassembly process is that the user uploads an instruction to the computer and then to the cloud computing database, and the cloud computing database downloads a manual disassembly instruction to the computer so as to operate the clamp to convey the mobile phone to a manual disassembly area;
for the problem of equipment crash, before the mobile phone disassembly detection is carried out, a program and equipment are checked, abnormal signs and degradation information before the equipment breaks down are mastered, the running state of the equipment is evaluated, and the equipment is judged to be in a normal or abnormal state.
5. The intelligent classification processing method for the disassembly fault of the waste mobile phone based on the cloud computing as claimed in claim 1, characterized in that: in the process of importing the cloud computing database, a fault tree and a Bayesian network are added to complete probability computation;
the fault tree analysis is a deductive failure analysis method from top to bottom, and the unexpected state in the system is analyzed by using the Boolean logic combination low-order events;
the probability reasoning of the mobile phone disassembly fault tree adopts the fault tree technology to analyze the mobile phone disassembly fault, all minimal cut sets of top events are obtained and converted into knowledge taking a production rule as a main expression form, a rule base is established, and on the basis, the fault diagnosis and reasoning are based on the fault fact, and the heuristic search and matching process is carried out on the rule.
6. The intelligent classification processing method for the disassembly fault of the waste mobile phone based on the cloud computing as claimed in claim 5, wherein:
after the mobile phone disassembly fault tree is established, solving the failure probability of a top event according to the failure probability of a bottom event, wherein a cut set is a set N consisting of a plurality of bottom events, the mode is used for mobile phone disassembly fault detection, and the bottom events of all faults are processed into a minimum cut set N by Boolean algebra operation;
suppose that the top event T has n minimal cut sets M1、M2...MnAnd obtaining a fault tree structure function:
ki represents the number of bottom events in the ith minimal cut set;
assuming that each Xi takes 1, the result is 1, which means that when all bottom events occur, a top event must occur, and this structure is called an and gate structure fault tree;
because the minimal cut sets are not mutually exclusive, the same bottom event can be generated to appear in a plurality of minimal cut sets, and the probability of the top event is solved by adopting the repulsion theorem:
7. the intelligent classification processing method for the disassembly fault of the waste mobile phone based on the cloud computing as claimed in claim 6, wherein:
the mobile phone fault tree has 40 minimum cut sets, and the total number is 2 according to the repulsion theorem40-1≈1.1*1012Adopting an approximation algorithm; the upper and lower limits of the probability of the bottom event are approximate, and the probability of the top event is approximateComprises the following steps:
8. the intelligent classification processing method for the disassembly fault of the waste mobile phone based on the cloud computing as claimed in claim 7, wherein:
the bottom event is three x1、x2、x3The probability of occurrence of each bottom event is 0.1, and the minimum cut set of the fault tree has M1＝x1x2，M2＝x1x3，M3＝x2x3The calculation is performed according to the repulsion theorem:
S1＝P[M1]+P[M2]+P[M3]＝P[x1x2]+P[x1x3]+P[x2][x1]
＝P(x1)P(x2)+P(x1)P(x3)+P(x2)P(x3)
＝0.03
S2＝P[M1M2]+P[M1M3]+P[M2M3]
＝P[x1x2x1x3]+P[x1x2x2x3]+P[x1x3x2x3]
＝P[x1x2x3]+P[x1x2x3]+P[x1x2x3]
＝0.003
S3＝P[M1M2M3]＝P[x1x2x3]＝0.001
upper limit approximation S1＝0.03；
Lower limit of approximate value of S2-S1＝0.027；
Intermediate approximation is S1-(1/2)S2＝0.0285；
Accurately calculating the probability of occurrence of the top event according to the theorem of repulsion-capacitance1-S2+S3＝0.028；
And obtaining an intermediate approximate value close to an accurate calculation value, and finally obtaining the probability of the top event to be 0.0285.
9. The intelligent classification processing method for the disassembly fault of the waste mobile phone based on the cloud computing as claimed in claim 8, wherein:
analyzing the bottom event, and calculating the structural importance of the bottom event; the occurrence influence degree of each fault is known by calculating the structural importance, and the fault detection sequence is arranged according to the structural importance sequence;
set bottom event to Xi，XiThere are two kinds of state 1 faults, 0 fault does not occur, there are two kinds of state 1 faults or 0 fault does not occur in the top event, and there are four kinds of relations between the top event and the bottom event.
10. The intelligent classification processing method for the disassembly fault of the waste mobile phone based on the cloud computing as claimed in claim 9, wherein:
considering the occurrence of a fault, the top event changes from 0 to 1, i.e., (1), when the bottom event changes to 1i，X)-φ(0i，X)＝1；
At this time, it is explained that the generation of the flow splitting fault affects the fault of the main flow, which causes the fault detection stop of the mobile phone disassembly;
the incompatible combinations of two states of n bottom events are 2n, the ith bottom event is taken as a change object, the states of the other bottom events are corresponding to the unchanged control groups, 2n-1, the ratio is taken as the structural importance, and the structural importance is expressed by the following formula:
there are 4 bottom events, and the number of the two state combinations of the bottom events is 24The state correspondence of the rest bottom events is kept unchanged by 23Structural importance of
And combining the fault probability inference completed by the fault tree with the Bayesian network probability inference to perfect.
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