Full-automatic silicon single crystal rod feeding and discharging system and feeding and discharging method thereof

Abstract

The invention provides a full-automatic silicon single crystal rod feeding and discharging system and a feeding and discharging method thereof, and the system comprises a timing recognition module which is used for recognizing whether a feeding and discharging site of a silicon single crystal rod enters a full-automatic work optimization timing or not; the model creating module is used for creating a holographic visual interaction control model of the loading and unloading site when the identification result is yes; the decision-making auxiliary module is used for assisting an administrator to complete decision-making of a full-automatic work optimization strategy of a feeding and discharging site based on the holographic visual interaction control model; and the optimization control module is used for performing relay corresponding full-automatic work optimization control on the loading and unloading site based on the full-automatic work optimization strategy. The system automatically identifies whether a loading and unloading site enters a full-automatic work optimization opportunity or not, manual operation of an administrator is not needed, the situation that optimization is not timely is avoided, under the assistance of the system, the administrator completes a full-automatic work optimization strategy based on a holographic scene interaction control model, the administrator does not need to go to the site, optimization convenience is improved, and optimization efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of semiconductor intelligent production, and in particular to a fully automatic single crystal silicon rod loading and unloading system and a loading and unloading method thereof. Background Art

[0002] In the semiconductor manufacturing process, the loading and unloading operation of single crystal silicon rods is a crucial part of the production process. The efficiency of the loading and unloading process directly affects the overall efficiency of the production line, resource utilization and product quality. Therefore, it is necessary to optimize the loading and unloading site with full automation.

[0003] Traditionally, when fully automatic work optimization is performed on the loading and unloading site, the administrator manually determines whether the loading and unloading site needs to be fully automatic based on experience. If it is determined to be necessary, the optimization is performed manually based on experience. However, this has a high labor cost and cannot accurately determine the timing of fully automatic work optimization on the loading and unloading site, which may lead to problems such as untimely optimization. In addition, it is not convenient for the administrator to perform manual on-site optimization, which reduces the optimization efficiency.

[0004] Therefore, a solution is urgently needed. Summary of the invention

[0005] One of the purposes of the present invention is to provide a fully automatic single crystal silicon rod loading and unloading system. The system automatically identifies whether the loading and unloading site has entered the time of fully automatic work optimization. There is no need for the administrator to perform manual work, thereby avoiding untimely optimization. With the assistance of the system, the administrator completes the fully automatic work optimization strategy based on the holographic visual interactive control model without going to the site, thereby improving the convenience of optimization and improving the optimization efficiency.

[0006] The fully automatic single crystal silicon rod loading and unloading system provided by the embodiment of the present invention comprises:

[0007] Timing recognition module, used to identify whether the loading and unloading site of the single crystal silicon rod has entered the fully automatic working optimization time;

[0008] A model creation module is used to create a holographic visual interactive control model of the loading and unloading site when the recognition is yes;

[0009] Decision-making support module, which is used to assist managers in making decisions on fully automatic work optimization strategies for loading and unloading sites based on the holographic visual interactive control model;

[0010] The optimization control module is used to carry out corresponding fully automatic work optimization control on the loading and unloading sites in a relay manner based on the fully automatic work optimization strategy.

[0011] Optionally, the timing identification module identifies whether the loading and unloading site of the single crystal silicon rod has entered the fully automatic working optimization timing, including:

[0012] Based on the fully automatic work evaluation system, the fully automatic work evaluation of the loading and unloading site is carried out according to the multi-modal work status information of the loading and unloading site to obtain the evaluation value;

[0013] When the evaluation value is less than or equal to the evaluation value threshold, it is recognized that the loading and unloading site is at the time of entering the fully automatic work optimization;

[0014] Otherwise, identify as no.

[0015] Optionally, the decision-making assistance module assists the administrator in completing the fully automatic work optimization strategy for the loading and unloading site based on the holographic visual interactive control model, including:

[0016] Based on the holographic visual interactive control model, the problem to be optimized can be detected in real time;

[0017] Whenever detected, based on the creation instruction tree of the problem to be optimized, an initial field of view, multiple fields of view to be triggered, and the triggering requirements and sub-field sequences of each field of view to be triggered are created in the holographic visual interactive control model;

[0018] VR leads the administrator into the initial field of view and activates the administrator's interaction record library;

[0019] When the trigger requirement represented by the interaction record library is met for the first time, VR leads the administrator to the triggering field of view to be triggered of the trigger requirement represented by the interaction record library that is met for the first time;

[0020] When the trigger requirement represented by the interaction record library is met twice, the VR leads the administrator to enter the sub-views in the sub-view sequence of the to-be-triggered view represented by the interaction record library respectively; wherein the order in which the VR leads the administrator to enter the sub-views is the order of the sequence positions of the sub-views in the view sequence;

[0021] When VR leads the administrator to enter all the fields of view to be triggered, the holographic scene interactive control model is optimized, decided, configured and displayed;

[0022] The receiving administrator completes the fully automatic work optimization strategy of making decisions based on the holographic visual interactive control model displayed after the optimized decision configuration.

[0023] Optionally, the decision support module detects the problem to be optimized in real time based on the holographic visual interactive control model, including:

[0024] Determine in turn whether the situations of multiple historical problems to be optimized in the historical situation library are repeated in the holographic visual interactive control model;

[0025] When it is determined to be yes, the historical problem to be optimized in which the recurrence occurs is used as the problem to be optimized.

[0026] Optionally, the decision support module creates an initial field of view, multiple fields of view to be triggered, and trigger requirements and sub-field of view sequences of each field of view to be triggered in the holographic visual interactive control model based on the creation indication tree of the problem to be optimized, including:

[0027] Determine a template based on the first requirement, and determine a first view creation requirement according to a unique root node in a creation instruction tree;

[0028] Based on the first field of view creation requirement, an initial field of view is created in the holographic scene interactive control model;

[0029] Traverse and create multiple leaf nodes in the indicator tree in sequence;

[0030] During each traversal, a template is determined based on the second requirement, and a second view creation requirement is determined based on the leaf node traversed;

[0031] Based on the second field of view creation requirements, create a field of view to be triggered in the holographic visual interactive control model;

[0032] Based on the requirement creation template, a trigger requirement of the to-be-triggered view is created according to a path identifier of a branch path connecting a unique root node and a traversed leaf node in a creation indication tree;

[0033] Determine a template based on the third requirement, and determine multiple third field of view creation requirements according to the node association relationship between two adjacent branch nodes on the branch path;

[0034] Based on the creation requirements of each third field of view, multiple sub-fields of view are created in the holographic scene interactive control model;

[0035] Based on each sub-view, a sub-view sequence is created; wherein the sub-view created based on the i-th third-view creation requirement ranks i-th in the sub-view sequence; the i-th third-view creation requirement is determined based on the node association relationship between the i-th branch node and the i+1-th branch node on the tree branch path; i=1, 2, 3, ..., N-1; N is the total number of branch nodes on the tree branch path.

[0036] The fully automatic single crystal silicon rod loading and unloading method provided by the embodiment of the present invention comprises:

[0037] Identify whether the loading and unloading site of single crystal silicon rods has entered the fully automatic working optimization time;

[0038] When the recognition is yes, a holographic visual interactive control model of the loading and unloading site is created;

[0039] Assist managers to complete the decision-making of fully automatic work optimization strategies at the loading and unloading site based on the holographic visual interactive control model;

[0040] Based on the fully automatic work optimization strategy, the loading and unloading sites are relayed with fully automatic work optimization control.

[0041] Optionally, the step of identifying whether the loading and unloading site of the single crystal silicon rod has entered a fully automatic operation optimization time includes:

[0042] Based on the fully automatic work evaluation system, the fully automatic work evaluation of the loading and unloading site is carried out according to the multi-modal work status information of the loading and unloading site to obtain the evaluation value;

[0043] When the evaluation value is less than or equal to the evaluation value threshold, it is recognized that the loading and unloading site is at the time of entering the fully automatic work optimization;

[0044] Otherwise, identify as no.

[0045] Optionally, the assistant administrator completes the fully automatic work optimization strategy for the decision-making loading and unloading site based on the holographic visual interactive control model, including:

[0046] Based on the holographic visual interactive control model, the problem to be optimized can be detected in real time;

[0047] Whenever detected, based on the creation instruction tree of the problem to be optimized, an initial field of view, multiple fields of view to be triggered, and the triggering requirements and sub-field sequences of each field of view to be triggered are created in the holographic visual interactive control model;

[0048] VR leads the administrator into the initial field of view and activates the administrator's interaction record library;

[0049] When the trigger requirement represented by the interaction record library is met for the first time, VR leads the administrator to the triggering field of view to be triggered of the trigger requirement represented by the interaction record library that is met for the first time;

[0050] When the trigger requirement represented by the interaction record library is met twice, the VR leads the administrator to enter the sub-views in the sub-view sequence of the to-be-triggered view represented by the interaction record library respectively; wherein the order in which the VR leads the administrator to enter the sub-views is the order of the sequence positions of the sub-views in the view sequence;

[0051] When VR leads the administrator to enter all the fields of view to be triggered, the holographic scene interactive control model is optimized, decided, configured and displayed;

[0052] The receiving administrator completes the fully automatic work optimization strategy of making decisions based on the holographic visual interactive control model displayed after the optimized decision configuration.

[0053] Optionally, the real-time detection of the problem to be optimized based on the holographic visual interactive control model includes:

[0054] Determine in turn whether the situations of multiple historical problems to be optimized in the historical situation library are repeated in the holographic visual interactive control model;

[0055] When it is determined to be yes, the historical problem to be optimized in which the recurrence occurs is used as the problem to be optimized.

[0056] Optionally, the creation of the instruction tree based on the problem to be optimized, creating an initial field of view, multiple fields of view to be triggered, and the triggering requirements and sub-field of view sequences of each field of view to be triggered in the holographic visual interactive control model, includes:

[0057] Determine a template based on the first requirement, and determine a first view creation requirement according to a unique root node in a creation instruction tree;

[0058] Based on the first field of view creation requirement, an initial field of view is created in the holographic scene interactive control model;

[0059] Traverse and create multiple leaf nodes in the indicator tree in sequence;

[0060] During each traversal, a template is determined based on the second requirement, and a second view creation requirement is determined based on the leaf node traversed;

[0061] Based on the second field of view creation requirements, create a field of view to be triggered in the holographic visual interactive control model;

[0062] Based on the requirement creation template, a trigger requirement of the to-be-triggered view is created according to a path identifier of a branch path connecting a unique root node and a traversed leaf node in a creation indication tree;

[0063] Determine a template based on the third requirement, and determine multiple third field of view creation requirements according to the node association relationship between two adjacent branch nodes on the branch path;

[0064] Based on the creation requirements of each third field of view, multiple sub-fields of view are created in the holographic scene interactive control model;

[0065] Based on each sub-view, a sub-view sequence is created; wherein the sub-view created based on the i-th third-view creation requirement ranks i-th in the sub-view sequence; the i-th third-view creation requirement is determined based on the node association relationship between the i-th branch node and the i+1-th branch node on the tree branch path; i=1, 2, 3, ..., N-1; N is the total number of branch nodes on the tree branch path.

[0066] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0067] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0069] Figure 1 Schematic diagram of a fully automatic single crystal silicon rod loading and unloading system in an embodiment of the present invention;

[0070] Figure 2 Flow chart of the fully automatic method for loading and unloading single crystal silicon rods in an embodiment of the present invention. DETAILED DESCRIPTION

[0071] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0072] The embodiment of the present invention provides a fully automatic single crystal silicon rod loading and unloading system, such as Figure 1 As shown, including:

[0073] Timing recognition module 1 is used to identify whether the loading and unloading site of the single crystal silicon rod has entered the fully automatic working optimization time;

[0074] Model creation module 2, for creating a holographic visual interactive control model of the loading and unloading site when the identification is yes;

[0075] Decision-making support module 3 is used to assist managers in making decisions on the fully automatic work optimization strategy for loading and unloading sites based on the holographic visual interactive control model;

[0076] The optimization control module 4 is used to carry out corresponding fully automatic work optimization control on the loading and unloading sites in a relay manner based on the fully automatic work optimization strategy.

[0077] Identify whether the loading and unloading site has entered the fully automatic work optimization time, and then create a holographic visual interactive control model of the loading and unloading site when entering, and assist the administrator to complete the decision-making fully automatic work optimization strategy based on the holographic visual interactive control model, and finally relay the corresponding fully automatic work optimization control of the loading and unloading site based on the fully automatic work optimization strategy. The holographic visual interactive control model is a virtual model of the loading and unloading site that restores the loading and unloading site in three dimensions, which displays the working status of different operating equipment in the loading and unloading site in real time, forming a holographic vision, and the administrator can interactively control the holographic visual interactive control model.

[0078] The system of the present invention automatically identifies whether the loading and unloading site has entered the time of fully automatic work optimization, without the need for manual work by the administrator, thus avoiding untimely optimization. With the assistance of the system, the administrator completes the fully automatic work optimization strategy based on the holographic visual interactive control model without going to the site, thereby improving the convenience of optimization and improving the optimization efficiency.

[0079] In one embodiment, the timing identification module identifies whether the loading and unloading site of the single crystal silicon rod has entered the fully automatic working optimization timing, including:

[0080] S11. Based on the fully automatic work evaluation system, according to the multi-modal work status information of the loading and unloading site, a fully automatic work evaluation is performed on the loading and unloading site to obtain an evaluation value;

[0081] In S11, the multimodal working state information at least includes: working states of different operating equipment in the loading and unloading site, such as: equipment operation state, workload, temperature, humidity, vibration, pressure and other real-time production data; the fully automatic working evaluation system is preset with evaluation scores corresponding to different working states, and the evaluation score represents the degree of goodness of the current working state of the loading and unloading site reflected by the working state, that is, the degree of suitability for fully automatic working optimization. When using the fully automatic working evaluation system, the evaluation scores corresponding to different working states in the multimodal working state information in the fully automatic working evaluation system are accumulated to obtain the evaluation value;

[0082] S12, when the evaluation value is less than or equal to the evaluation value threshold, it is recognized that the loading and unloading site is in a good time to enter the fully automatic work optimization;

[0083] In S12, the threshold of the evaluation value may be, for example, 80; when the evaluation value is less than or equal to the threshold of the evaluation value, it indicates that the comprehensive working state of the loading and unloading site reflected by the multimodal working state information is not good and full-automatic working optimization is required, and it is identified that the loading and unloading site is in a good time to enter full-automatic working optimization;

[0084] S13. Otherwise, identify it as no.

[0085] In one embodiment, the decision support module assists the administrator in completing the decision-making of the fully automatic work optimization strategy for the loading and unloading site based on the holographic visual interactive control model, including:

[0086] S31. Real-time detection of problems to be optimized based on the holographic visual interactive control model;

[0087] In S31, the holographic visual interactive control model restores the loading and unloading site in three dimensions, and displays the working status of different operating equipment in the loading and unloading site in real time. Therefore, the problem to be optimized can be detected based on it. The problem to be optimized is the fully automatic working problem that needs to be optimized at the loading and unloading site.

[0088] S32, whenever it is detected, based on the creation instruction tree of the problem to be optimized, create an initial field of view, multiple fields of view to be triggered, and the triggering requirements and sub-field of view sequences of each field of view to be triggered in the holographic visual interactive control model;

[0089] In S32, an instruction tree is created to indicate how to create an initial field of view, multiple fields of view to be triggered, and the triggering requirements and sub-field sequence of each field of view to be triggered; the initial field of view is the field of view that the administrator needs to enter first, and the administrator can preliminarily view the comprehensive overall situation of the problem to be optimized in the initial field of view and have a rough understanding; when the interaction record between the administrator and the holographic visual interactive control model meets the triggering requirements, the corresponding field of view to be triggered is triggered. The field of view to be triggered is the corresponding field of view that needs to be viewed when the administrator reflects through the interaction record that he needs to view an element of the problem to be optimized in detail (for example, the problem to be optimized is that the coordination efficiency between multiple robots for loading and unloading single crystal silicon rods is low, then the multiple elements of the problem can be the collaborative working postures of each robot, the current collaborative working plan of each robot, etc.), in the field of view to be triggered, the administrator can view the final development form of the element in detail (such as the uncoordinated working postures of each robot); there are multiple sub-fields arranged in sequence in the sub-field sequence, and the sub-fields show the historical development process before the final development form of the element (the changes in the working postures of each robot before the uncoordinated working postures of each robot are produced, etc.);

[0090] S33, VR leads the administrator into the initial field of view and activates the administrator's interaction record library;

[0091] In S33, VR first leads the administrator into the initial field of view, and the interaction record library continuously records the interaction records between the administrator and the holographic visual interactive control model, such as operation instructions, operation time, and the length of time of attention to different contents in the field of view; when the interaction record library is activated, the library starts to work and records the interaction records;

[0092] S34, when the trigger requirement represented by the interaction record library is met for the first time, VR leads the administrator to enter the triggering field of view to be triggered of the trigger requirement represented by the interaction record library that is met for the first time;

[0093] In S34, when the interaction record library indicates that the trigger requirement is met, that is, the interaction record recorded in the interaction record library meets the trigger requirement, when the trigger requirement is met for the first time, VR leads the administrator into the corresponding field of view to be triggered. For example, if the interaction record shows that the administrator has been paying attention to the working postures of the robots in the initial field of view for more than 300 seconds, it means that the administrator needs to view the elements of the collaborative working postures of the robots in detail, and then leads the administrator into the field of view to be triggered to view the uncoordinated working postures of the robots in detail. At this time, if the administrator believes that the optimization decision on the problem of displaying the elements in the field of view to be triggered can be completed, the administrator will make a decision.

[0094] S35, when the trigger requirement represented by the interaction record library is met twice, the VR leads the administrator to enter the sub-views in the sub-view sequence of the to-be-triggered view represented by the interaction record library and the trigger requirement is met twice in sequence; wherein the order in which the VR leads the administrator to enter the sub-views is the order of the sequence positions of the sub-views in the view sequence;

[0095] In S35, when the interaction record library represents that the trigger requirement is met for the second time, VR leads the administrator to enter each sub-view in the corresponding sub-view sequence in turn. For example, if the interaction record shows that the administrator has been paying attention to the working postures of the robots in the to-be-triggered view for more than 300 seconds, it means that the administrator has not made a timely decision and needs to further show the historical development process before the final development form of the element, for example, the changes in the working postures of the robots before they produce uncoordinated working postures. At this time, the administrator will make an optimization decision again based on the further viewed content.

[0096] S36. When the VR leads the administrator to enter all the fields of view to be triggered, the holographic scene interactive control model is optimized, the decision configuration is displayed;

[0097] In S36, when VR leads the administrator to enter all the fields of view to be triggered, it means that the user can make an optimization decision, and the optimization decision configuration display is performed on the holographic visual interactive control model. When the optimization decision configuration display is performed, different optimization decision options are displayed in the holographic visual interactive control model, and the administrator directly operates to select the optimization decision option to complete the decision of the fully automatic work optimization strategy;

[0098] S37, receiving the fully automatic work optimization strategy for the administrator to complete the decision based on the holographic visual interactive control model displayed after the optimized decision configuration.

[0099] The embodiments of the present invention achieve the following beneficial effects:

[0100] 1. Create an initial field of view, multiple fields of view to be triggered, and the triggering requirements and sub-field sequences of each field of view to be triggered in the holographic visual interactive control model. Based on the created content, the administrator VR is led into the holographic visual interactive control model. This not only eliminates the need for administrators to operate and view by themselves, but also improves the management decision-making efficiency of administrators. It also constrains the management decision-making rhythm of administrators to a certain extent, further improving their management decision-making efficiency.

[0101] 2. Under the instruction of creating the instruction tree, the initial field of view, multiple fields of view to be triggered, and the triggering requirements and sub-field sequences of each field of view to be triggered are created quickly and accurately, which improves the work efficiency of the system and improves the applicability of the system.

[0102] 3. The triggering vision adopts a trigger system, and the administrator is led in when the interaction record library meets the triggering requirements for the first time, which improves the accuracy and suitability of VR guidance for administrators, reduces the VR guidance resources of the system, and further improves the work efficiency of the system.

[0103] 4. When the trigger requirement represented by the interaction record library is met for the second time, the administrator is led into the sub-view in the corresponding sub-view sequence to ensure that the administrator does not need to be led into the sub-view again when he can make management decisions, which improves the administrator's management decision-making efficiency, further reduces the system's VR leadership resources, and improves the system's work efficiency.

[0104] In one embodiment, the decision support module detects the problem to be optimized in real time based on the holographic visual interactive control model, including:

[0105] S311, determining in sequence whether the situations of multiple historical problems to be optimized in the historical situation library are repeated in the holographic visual interactive control model;

[0106] In S311, the situation of the historical problem to be optimized is the situation of the problem to be optimized that occurred in history, and it is determined whether the situation is repeated in the holographic visual interactive control model, so as to determine whether the problem to be optimized that occurred in the corresponding history can be used as the problem to be optimized;

[0107] S312: When the determination is yes, the historical problem to be optimized of the situation in which the recurrence occurs is used as the problem to be optimized.

[0108] In one embodiment, the decision support module creates an initial field of view, multiple fields of view to be triggered, and trigger requirements and sub-field of view sequences of each field of view to be triggered in the holographic visual interactive control model based on a creation indication tree of the problem to be optimized, including:

[0109] S321, determining a template based on the first requirement, and determining a first view creation requirement according to a unique root node in a creation instruction tree;

[0110] S322, based on the first field of view creation requirement, creating an initial field of view in the holographic visual interactive control model;

[0111] S323, traverse and create multiple leaf nodes in the indication tree in sequence;

[0112] S324, during each traversal, determining a template based on the second requirement, and determining a second view creation requirement based on the traversed leaf node;

[0113] S325, based on the second field of view creation requirement, creating a field of view to be triggered in the holographic visual interaction control model;

[0114] S326, creating a template based on the requirement, and creating a trigger requirement for the view to be triggered according to a path identifier of a branch path connecting a unique root node and a traversed leaf node in the creation indication tree;

[0115] S327, determining a template based on the third requirement, and determining multiple third field of view creation requirements according to the node association relationship between two adjacent branch nodes on the tree branch path;

[0116] S328. Based on the third field of view creation requirements, create multiple sub-fields of view in the holographic visual interaction control model;

[0117] S329. Create a sub-view sequence based on each sub-view; wherein the sub-view created based on the i-th third-view creation requirement ranks i-th in the sub-view sequence; the i-th third-view creation requirement is determined based on the node association relationship between the i-th branch node and the i+1-th branch node on the tree branch path; i=1, 2, 3, ..., N-1; N is the total number of branch nodes on the tree branch path.

[0118] The creation indication tree includes a unique root node, multiple leaf nodes connected to the unique root node through different branch paths, and there are multiple branch nodes between the unique root node and the leaf nodes on the branch path; the unique root node is the comprehensive overall situation type of the problem to be optimized, and the template is determined based on the first requirement. When the first field of view creation requirement is determined, the first field of view creation requirement is determined to be the content of all comprehensive overall situation types visible in the field of view, so that the administrator can preliminarily view the comprehensive overall situation of the problem to be optimized in the initial field of view and have a rough understanding; a branch path represents the historical development process (i.e., branch node) and the final development form (i.e., leaf node) of an element of the problem to be optimized; the template is determined based on the second requirement, and the second field of view creation requirement is determined based on the traversed leaf nodes, so that the second field of view creation requirement is determined to be the final development form of the corresponding element visible in the field of view; in order to enable the administrator to view the changes in the historical development process more intuitively, clearly and accurately, the template is determined based on the third requirement, and the nodes between two adjacent branch nodes on the branch path are determined. Point association relationship, determine multiple third field of view creation requirements; node association relationship can be the same content type and the different content type. When determining the third field of view creation requirements, the third field of view creation requirements can be determined as: different content can be seen in a large area within the field of view, and the same content can be seen in a small area (the specific size of the area can be set in advance by the technical staff according to actual needs); the path identifier of the branch path is the process type of the historical development process of an element of the problem to be optimized, for example: the working posture change between the loading and unloading robots, then based on the requirements, a template is created, and according to the path identifier of the branch path connecting the unique root node and the traversed leaf node in the creation indication tree, when creating the triggering requirements for the field of view to be triggered, the triggering requirements are created as the interaction record is continuously and continuously related to the working posture change between the loading and unloading robots for multiple times; when creating a sub-field of view sequence, ensure that the sub-field created based on the i-th third field of view creation requirement ranks i-th in the sub-field of view sequence, so that when the administrator is led into each sub-field of view, he can understand the specific historical development process changes in sequence.

[0119] The embodiments of the present invention achieve the following beneficial effects:

[0120] 1. By creating an indicator tree and traversing the leaf nodes of the tree in sequence, each field of view is created based on clear triggering requirements and has a clear association with other fields of view, which can accurately control the hierarchy and triggering order of the fields of view.

[0121] 2. By indicating the path identification and node association of the tree, the triggering conditions of each field of view to be triggered can be dynamically adjusted, thereby avoiding unnecessary waste of resources and improving resource utilization efficiency.

[0122] 3. In the holographic visual interaction model, the creation of the field of view is not only the display of images or information, but also the core of the interactive process. By creating an instruction tree to precisely control the generation order and trigger conditions of the field of view, users can experience a more logical and intuitive way of interaction.

[0123] The embodiment of the present invention provides a fully automatic method for loading and unloading single crystal silicon rods, such as Figure 2 As shown, including:

[0124] S1. Identify whether the loading and unloading site of the single crystal silicon rod has entered the fully automatic working optimization time;

[0125] S2. When the recognition is yes, a holographic visual interactive control model of the loading and unloading site is created;

[0126] S3, assisting the administrator to complete the fully automatic work optimization strategy of the loading and unloading site based on the holographic visual interactive control model;

[0127] S4. Based on the fully automatic work optimization strategy, the loading and unloading sites are relayed with fully automatic work optimization control.

[0128] The identification of whether the loading and unloading site of the single crystal silicon rod has entered the fully automatic working optimization time includes:

[0129] Based on the fully automatic work evaluation system, the fully automatic work evaluation of the loading and unloading site is carried out according to the multi-modal work status information of the loading and unloading site to obtain the evaluation value;

[0130] When the evaluation value is less than or equal to the evaluation value threshold, it is recognized that the loading and unloading site is at the time of entering the fully automatic work optimization;

[0131] Otherwise, identify as no.

[0132] The assistant manager completes the fully automatic work optimization strategy for the loading and unloading site based on the holographic visual interactive control model, including:

[0133] Based on the holographic visual interactive control model, the problem to be optimized can be detected in real time;

[0134] Whenever detected, based on the creation instruction tree of the problem to be optimized, an initial field of view, multiple fields of view to be triggered, and the triggering requirements and sub-field sequences of each field of view to be triggered are created in the holographic visual interactive control model;

[0135] VR leads the administrator into the initial field of view and activates the administrator's interaction record library;

[0136] When the trigger requirement represented by the interaction record library is met for the first time, VR leads the administrator to the triggering field of view to be triggered of the trigger requirement represented by the interaction record library that is met for the first time;

[0137] When the trigger requirement represented by the interaction record library is met twice, the VR leads the administrator to enter the sub-views in the sub-view sequence of the to-be-triggered view represented by the interaction record library respectively; wherein the order in which the VR leads the administrator to enter the sub-views is the order of the sequence positions of the sub-views in the view sequence;

[0138] When VR leads the administrator to enter all the fields of view to be triggered, the holographic scene interactive control model is optimized, decided, configured and displayed;

[0139] The receiving administrator completes the fully automatic work optimization strategy of making decisions based on the holographic visual interactive control model displayed after the optimized decision configuration.

[0140] The holographic scene interactive control model is used to detect the problem to be optimized in real time, including:

[0141] Determine in turn whether the situations of multiple historical problems to be optimized in the historical situation library are repeated in the holographic visual interactive control model;

[0142] When it is determined to be yes, the historical problem to be optimized in which the recurrence occurs is used as the problem to be optimized.

[0143] The creation instruction tree based on the problem to be optimized creates an initial field of view, multiple fields of view to be triggered, and triggering requirements and sub-field of view sequences of each field of view to be triggered in the holographic visual interactive control model, including:

[0144] Determine a template based on the first requirement, and determine a first view creation requirement according to a unique root node in a creation instruction tree;

[0145] Based on the first field of view creation requirement, an initial field of view is created in the holographic scene interactive control model;

[0146] Traverse and create multiple leaf nodes in the indicator tree in sequence;

[0147] During each traversal, a template is determined based on the second requirement, and a second view creation requirement is determined based on the leaf node traversed;

[0148] Based on the second field of view creation requirements, create a field of view to be triggered in the holographic visual interactive control model;

[0149] Based on the requirement creation template, a trigger requirement of the to-be-triggered view is created according to a path identifier of a branch path connecting a unique root node and a traversed leaf node in a creation indication tree;

[0150] Determine a template based on the third requirement, and determine multiple third field of view creation requirements according to the node association relationship between two adjacent branch nodes on the branch path;

[0151] Based on the creation requirements of each third field of view, multiple sub-fields of view are created in the holographic scene interactive control model;

[0152] Based on each sub-view, a sub-view sequence is created; wherein the sub-view created based on the i-th third-view creation requirement ranks i-th in the sub-view sequence; the i-th third-view creation requirement is determined based on the node association relationship between the i-th branch node and the i+1-th branch node on the tree branch path; i=1, 2, 3, ..., N-1; N is the total number of branch nodes on the tree branch path.

[0153] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. Fully automatic single crystal silicon rod loading and unloading system, characterized by: include: Timing recognition module, used to identify whether the loading and unloading site of the single crystal silicon rod has entered the fully automatic working optimization time; A model creation module is used to create a holographic visual interactive control model of the loading and unloading site when the recognition is yes; Decision-making support module, which is used to assist managers in making decisions on fully automatic work optimization strategies for loading and unloading sites based on the holographic visual interactive control model; The optimization control module is used to carry out corresponding fully automatic work optimization control on the loading and unloading sites in a relay manner based on the fully automatic work optimization strategy.

2. The fully automatic single crystal silicon rod loading and unloading system according to claim 1, characterized in that: The timing recognition module recognizes whether the loading and unloading site of the single crystal silicon rod has entered the fully automatic working optimization time, including: Based on the fully automatic work evaluation system, the fully automatic work evaluation of the loading and unloading site is carried out according to the multi-modal work status information of the loading and unloading site to obtain the evaluation value; When the evaluation value is less than or equal to the evaluation value threshold, it is recognized that the loading and unloading site is at the time of entering the fully automatic work optimization; Otherwise, identify as no.

3. The fully automatic single crystal silicon rod loading and unloading system according to claim 1, characterized in that: The decision-making assistance module assists the administrator in completing the fully automatic work optimization strategy for the loading and unloading site based on the holographic visual interactive control model, including: Based on the holographic visual interactive control model, the problem to be optimized can be detected in real time; Whenever detected, based on the creation instruction tree of the problem to be optimized, an initial field of view, multiple fields of view to be triggered, and the triggering requirements and sub-field sequences of each field of view to be triggered are created in the holographic visual interactive control model; VR leads the administrator into the initial field of view and activates the administrator's interaction record library; When the trigger requirement represented by the interaction record library is met for the first time, VR leads the administrator to the triggering field of view to be triggered of the trigger requirement represented by the interaction record library that is met for the first time; When the trigger requirement represented by the interaction record library is met twice, the VR leads the administrator to enter the sub-views in the sub-view sequence of the to-be-triggered view represented by the interaction record library respectively; wherein the order in which the VR leads the administrator to enter the sub-views is the order of the sequence positions of the sub-views in the view sequence; When VR leads the administrator to enter all the fields of view to be triggered, the holographic scene interactive control model is optimized, decided, configured and displayed; The receiving administrator completes the fully automatic work optimization strategy of making decisions based on the holographic visual interactive control model displayed after the optimized decision configuration.

4. The fully automatic single crystal silicon rod loading and unloading system according to claim 3, characterized in that: The decision support module detects the problem to be optimized in real time based on the holographic visual interactive control model, including: Determine in turn whether the situations of multiple historical problems to be optimized in the historical situation library are repeated in the holographic visual interactive control model; When it is determined to be yes, the historical problem to be optimized in which the recurrence occurs is used as the problem to be optimized.

5. The fully automatic single crystal silicon rod loading and unloading system according to claim 3, characterized in that: The decision support module creates an initial field of view, multiple fields of view to be triggered, and trigger requirements and sub-field of view sequences of each field of view to be triggered in the holographic visual interactive control model based on the creation instruction tree of the problem to be optimized, including: Determine a template based on the first requirement, and determine a first view creation requirement according to a unique root node in a creation instruction tree; Based on the first field of view creation requirement, an initial field of view is created in the holographic scene interactive control model; Traverse and create multiple leaf nodes in the indicator tree in sequence; During each traversal, a template is determined based on the second requirement, and a second view creation requirement is determined based on the leaf node traversed; Based on the second field of view creation requirements, create a field of view to be triggered in the holographic visual interactive control model; Based on the requirement creation template, a trigger requirement of the to-be-triggered view is created according to a path identifier of a branch path connecting a unique root node and a traversed leaf node in a creation indication tree; Determine a template based on the third requirement, and determine multiple third field of view creation requirements according to the node association relationship between two adjacent branch nodes on the branch path; Based on the creation requirements of each third field of view, multiple sub-fields of view are created in the holographic scene interactive control model; Based on each sub-view, a sub-view sequence is created; wherein the sub-view created based on the i-th third-view creation requirement ranks i-th in the sub-view sequence; the i-th third-view creation requirement is determined based on the node association relationship between the i-th branch node and the i+1-th branch node on the tree branch path; i=1, 2, 3, ..., N-1; N is the total number of branch nodes on the tree branch path.

6. Fully automatic single crystal silicon rod loading and unloading method, characterized in that: include: Identify whether the loading and unloading site of single crystal silicon rods has entered the fully automatic working optimization time; When the recognition is yes, a holographic visual interactive control model of the loading and unloading site is created; Assist managers to complete the decision-making of fully automatic work optimization strategies at the loading and unloading site based on the holographic visual interactive control model; Based on the fully automatic work optimization strategy, the loading and unloading sites are relayed with fully automatic work optimization control.

7. The fully automatic single crystal silicon rod loading and unloading method according to claim 6, characterized in that: The identification of whether the loading and unloading site of the single crystal silicon rod has entered the fully automatic working optimization time includes: Based on the fully automatic work evaluation system, the fully automatic work evaluation of the loading and unloading site is carried out according to the multi-modal work status information of the loading and unloading site to obtain the evaluation value; When the evaluation value is less than or equal to the evaluation value threshold, it is recognized that the loading and unloading site is at the time of entering the fully automatic work optimization; Otherwise, identify as no.

8. The fully automatic single crystal silicon rod loading and unloading method according to claim 6, characterized in that: The assistant manager completes the fully automatic work optimization strategy for the loading and unloading site based on the holographic visual interactive control model, including: Based on the holographic visual interactive control model, the problem to be optimized can be detected in real time; Whenever detected, based on the creation instruction tree of the problem to be optimized, an initial field of view, multiple fields of view to be triggered, and the triggering requirements and sub-field sequences of each field of view to be triggered are created in the holographic visual interactive control model; VR leads the administrator into the initial field of view and activates the administrator's interaction record library; When the trigger requirement represented by the interaction record library is met for the first time, VR leads the administrator to the triggering field of view to be triggered of the trigger requirement represented by the interaction record library that is met for the first time; When the trigger requirement represented by the interaction record library is met twice, the VR leads the administrator to enter the sub-views in the sub-view sequence of the to-be-triggered view represented by the interaction record library respectively; wherein the order in which the VR leads the administrator to enter the sub-views is the order of the sequence positions of the sub-views in the view sequence; When VR leads the administrator to enter all the fields of view to be triggered, the holographic scene interactive control model is optimized, decided, configured and displayed; The receiving administrator completes the fully automatic work optimization strategy of making decisions based on the holographic visual interactive control model displayed after the optimized decision configuration.

9. The fully automatic single crystal silicon rod loading and unloading method according to claim 8, characterized in that: The holographic scene interactive control model is used to detect the problem to be optimized in real time, including: Determine in turn whether the situations of multiple historical problems to be optimized in the historical situation library are repeated in the holographic visual interactive control model; When it is determined to be yes, the historical problem to be optimized in which the recurrence occurs is used as the problem to be optimized.

10. The fully automatic single crystal silicon rod loading and unloading method according to claim 8, characterized in that: The creation instruction tree based on the problem to be optimized creates an initial field of view, multiple fields of view to be triggered, and triggering requirements and sub-field of view sequences of each field of view to be triggered in the holographic visual interactive control model, including: Determine a template based on the first requirement, and determine a first view creation requirement according to a unique root node in a creation instruction tree; Based on the first field of view creation requirement, an initial field of view is created in the holographic scene interactive control model; Traverse and create multiple leaf nodes in the indicator tree in sequence; During each traversal, a template is determined based on the second requirement, and a second view creation requirement is determined based on the leaf node traversed; Based on the second field of view creation requirements, create a field of view to be triggered in the holographic scene interactive control model; Based on the requirement creation template, a trigger requirement of the to-be-triggered view is created according to a path identifier of a branch path connecting a unique root node and a traversed leaf node in a creation indication tree; Determine a template based on the third requirement, and determine multiple third field of view creation requirements according to the node association relationship between two adjacent branch nodes on the branch path; Based on the creation requirements of each third field of view, multiple sub-fields of view are created in the holographic scene interactive control model; Based on each sub-view, a sub-view sequence is created; wherein the sub-view created based on the i-th third-view creation requirement ranks i-th in the sub-view sequence; the i-th third-view creation requirement is determined based on the node association relationship between the i-th branch node and the i+1-th branch node on the tree branch path; i=1, 2, 3, ..., N-1; N is the total number of branch nodes on the tree branch path.

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