A method and device for intelligent assembly of power distribution switch cabinet

Abstract

The present invention relates to the field of switch cabinet technology, and specifically to an intelligent assembly method and device for a power distribution switch cabinet, including a data statistics module, a model building module, a sequence generation module, and a data analysis module. The present invention is through a sequence generation module, a data analysis module, and a transport assembly module. A standard assembly subsequence is generated by the sequence generation module, a standard assembly matrix is ​​generated by the data analysis module, a feature assembly matrix is ​​generated by an arrangement method, and corresponding assembly nodes are established by traversing and marking the assembly matrix to optimize the assembly process, so as to ensure that the parts will not be assembled in the assembly process due to errors in the setting of assembly nodes, resulting in an assembly unit with many types of parts at the front end of the assembly line, and an assembly unit with few types of parts at the back end of the assembly line, and the problem of low assembly efficiency caused by congestion at the terminal or back end of the assembly line due to uneven distribution of the types of parts in the assembly unit in the assembly line.

Description

Technical Field

[0001] The present invention relates to the technical field of switch cabinets, and in particular to an intelligent assembly method and device for a power distribution switch cabinet. Background Art

[0002] The parts used in products of different types of switch cabinets may belong to the same batch of parts, but the assembly order may be different. There are various parts combination structures, and the types of parts used and the parts assembly order used in different parts combination structures are not the same. This places very high requirements on the assembly sequence and the setting of assembly nodes during the assembly process.

[0003] In the prior art, for example, in a patent document entitled "A Method and System for Assembling a Part Assembly" with publication number CN113805541A, it includes: identifying the basic parts and subassemblies in the three-dimensional model, obtaining the connection matrix and interference matrix of each subassembly; based on the connection matrix and interference matrix of each subassembly, identifying multiple subassemblies on the same path, and obtaining multiple assembly nodes: assembling the subassemblies on multiple assembly nodes in parallel, and completing the assembly of all subassemblies. The present invention identifies the subassemblies on the same path based on the connection matrix and interference matrix of each subassembly, and assembles the subassemblies on different paths in parallel, which can improve the assembly efficiency of the entire assembly. However, in the above patent document, it is impossible to assemble according to the complexity of the parts of the subassembly, and at the same time, it is impossible to obtain the path complexity of the subassembly. During the assembly process, it is easy to cause congestion of the production line due to uneven distribution of the assembly production line, and the effect is not ideal. Summary of the invention

[0004] The purpose of the present invention is to solve the problems in the background technology and to propose an intelligent assembly method and device for a distribution switch cabinet.

[0005] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: an intelligent assembly method and device for a power distribution switch cabinet, a data statistics module, a model building module, a sequence generation module, a data analysis module and a monitoring and adjustment module: characterized in that: the data statistics module is used to obtain part information, the part information includes part types and part quantities corresponding to different part types, and transmits the part information to the part numbering module;

[0006] A model building module is used to generate a three-dimensional model of the subject to be assembled, identify independent parts and dependent parts of the three-dimensional model, obtain the assembly order of the dependent parts in the assembly unit, build a feature assembly subset according to the assembly order, and arrange the feature assembly subset according to the order of the dependent parts, and transmit the feature assembly subset to the part numbering module;

[0007] The sequence generation module performs a union operation on the feature assembly subsets to obtain the feature assembly set, obtains the number of all non-independent parts in the feature assembly set, and numbers the non-independent parts in the feature assembly set according to the basic quantity sorting method to obtain a standard assembly sequence;

[0008] A data analysis module is used to construct a standard assembly matrix according to standard assembly subsequences of several assembly units, obtain a column sequence Li in the standard assembly matrix, implement an arrangement method on the column sequence Li to obtain an arrangement result, perform a corresponding transformation on the standard assembly subsequence according to the arrangement result to obtain a feature assembly matrix, and traverse the feature assembly matrix to obtain a traversal result;

[0009] Sort the non-independent part numbers in the feature assembly subsequence to obtain a feature number sequence, calculate the feature path, perform data analysis on the feature path to obtain analysis results, and implement assembly node expansion plan S2 for the assembly unit corresponding to the feature path according to the analysis results;

[0010] The assembly node expansion scheme S2 includes the following steps:

[0011] The non-independent part number i in the feature assembly subsequence is sorted by number to obtain a feature number sequence {i1, i2, ..., ik}, where k is the element number in the feature number sequence, k is a positive integer, k=1, 2, 3, ..., n3, n3 represents the total number of elements;

[0012] Processing formula according to path length: ;

[0013] The characteristic path length S is calculated; where: It is an element number acquisition function, which means obtaining the element number of the sequence element ik; It represents the number difference formed by element ik to element i (k+1) in the forward numbering sequence, TZ represents the characteristic coefficient, and the characteristic coefficient TZ satisfies: ;

[0014] Compare the characteristic path S with the standard path Sc; if the characteristic path S is not greater than the standard path Sc, it is determined that the characteristic path S meets the standard path Sc, and no additional assembly nodes are set; if the characteristic path S is greater than the standard path Sc, the minimum assembly node relationship is used:

[0015] ;

[0016] The minimum number of additional assembly nodes A is calculated, and the minimum number of additional assembly nodes A satisfies A∈{1,2,…,n3}; the standard path Sc is obtained based on the statistics of historical situations that meet the assembly capacity standards; n4 is the minimum added value, and n4 is a positive integer.

[0017] In the above-mentioned intelligent assembly method of a distribution switch cabinet, the basic quantity sorting method is:

[0018] Sort the number of dependent parts from large to small to obtain a non-independent parts sorting sequence. Different dependent parts are marked as FDi according to the non-independent parts sorting sequence. The obtained standard assembly sequence is {FD1, FD2, FD3, ..., FDn1}; i is the non-independent part number, i=1, 2, ..., n1, n1 is the total number of non-independent part types;

[0019] A characteristic assembly subsequence is obtained according to the non-independent part numbers and the assembly order of the non-independent parts in the assembly unit, and a sequence construction method is implemented on the characteristic assembly subsequence to obtain a standard assembly subsequence; the characteristic assembly subsequence and the corresponding standard assembly subsequence are transmitted to a data analysis module.

[0020] In the above-mentioned intelligent assembly method of a power distribution switch cabinet, the sequence construction method is:

[0021] Construct a first empty sequence of the same length as the standard assembly sequence, and sequentially place the elements in the standard assembly sequence into the feature assembly subsequence for element traversal;

[0022] If the traversal result exists, return the element; if the traversal result does not exist, return 0; obtain the address in the traversal result, and insert the traversal result into the first empty sequence according to the address to generate a standard assembly subsequence.

[0023] In the above-mentioned intelligent assembly method for distribution switch cabinet, several standard assembly subsequences are arranged vertically to obtain an i×j standard assembly matrix; j is the row number of the standard assembly matrix, j∈[1,n2], and n2 is the total number of assembly units; the element position L(i,j) of the standard assembly matrix is ​​obtained;

[0024] Obtain a column sequence Li of the standard assembly matrix, and implement an arrangement method on the elements in the column sequence Li to obtain a column number sequence;

[0025] The specific arrangement method is:

[0026] Construct a second empty sequence of the same length as the column sequence Li, and traverse the column sequence Li;

[0027] If the traversal result is 0, the traversal result is inserted into the second empty sequence in the order from the starting element to the last element of the second empty sequence; if the traversal result is not 0, the traversal result is inserted into the remaining positions of the second empty sequence in sequence to obtain a column number sequence.

[0028] In the above-mentioned intelligent assembly method of a power distribution switch cabinet, it is determined whether the column number in the column number sequence has the first characteristic and the second characteristic and the first target column number and the second target column number are obtained respectively;

[0029] According to the first target column number and the second target column number, respectively obtain the first target sequence and the second target sequence of the next column sequence L(i+1), arrange the first target sequence and the second target sequence according to the arrangement method, and update the column number sequence;

[0030] According to the column number sequence, the standard assembly subsequence in the standard assembly matrix is ​​transformed into a characteristic assembly matrix, and the assembly node is established according to the characteristic assembly matrix.

[0031] In the above-mentioned intelligent assembly method of distribution switch cabinet, the monitoring and adjustment module is used to obtain the assembly output value and compare the assembly output value with the standard output value range. If the assembly output value belongs to the standard output value range, the assembly output value is continuously monitored; if the assembly output value is less than the minimum value of the standard output value range, the data analysis module is called to implement the assembly node expansion plan S2; if the assembly output value is greater than the maximum value of the standard output value range, the ratio of the assembly output value to the median of the standard output value range is calculated to obtain the improvement coefficient K, and the minimum and maximum values ​​of the standard output value range are multiplied by the improvement coefficient K to update the standard output value range.

[0032] In addition, the present invention also discloses an intelligent assembly device for a distribution switch cabinet, including a transport assembly module for assembling parts onto a main body to be assembled. The transport assembly module consists of an assembly production line and assembly nodes. The assembly production line consists of several sub-production lines. The assembly production line is used to set up a transport mechanism for transporting parts and the main body to be assembled.

[0033] Compared with the prior art, the advantages of the present invention are:

[0034] A standard assembly subsequence is generated through the sequence generation module, a standard assembly matrix is ​​generated through the data analysis module, a standard feature configuration matrix is ​​generated through the arrangement method, and the corresponding assembly nodes are established by traversing the labeled assembly matrix to optimize the assembly process. This ensures that during the assembly process, there will be no problems such as incorrect assembly node settings leading to assembly units with many types of parts at the front end of the assembly line and assembly units with few types of parts at the back end of the assembly line, as well as low assembly efficiency caused by congestion at the terminal or back end of the assembly line due to uneven distribution of part types in the assembly units in the assembly line.

[0035] The feature assembly subsequence is generated through the sequence generation module, the feature path of the feature assembly subsequence is calculated through the data analysis module, the minimum number of additional assembly nodes is calculated through the minimum assembly node relationship, and the existing assembly nodes are expanded to improve the assembly efficiency and ensure the assembly output value. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a schematic diagram of the module structure of the present invention.

[0037] Figure 2 It is a schematic diagram of the planar structure of the transport assembly module of the present invention.

[0038] In the figure: 1. Assembly line; 2. Assembly node; 101. Sub-production line. DETAILED DESCRIPTION

[0039] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0040] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0041] Embodiment 1: A method and device for intelligent assembly of a power distribution switch cabinet, comprising a data statistics module for acquiring part information, the part information including part types and part quantities corresponding to different part types, and transmitting the part information to a part numbering module;

[0042] The model building module is used to generate a three-dimensional model of the subject to be assembled, identify the independent parts and dependent parts of the three-dimensional model, obtain the assembly order of the dependent parts in the assembly unit, build a feature assembly subset according to the assembly order, and the feature assembly subset is arranged according to the order of the dependent parts. The feature assembly subset is transmitted to the part numbering module; it should be noted that the method for identifying independent parts and dependent parts is:

[0043] Constructing a three-dimensional model through modeling software, such as Solidworks; judging whether parts of different models have a connection relationship through the three-dimensional model, judging parts that are not connected to other parts as independent parts, and judging parts that are connected to other parts as non-independent parts, is a prior art and will not be described in detail here;

[0044] It is particularly important to note that the parts directly connected to the cabinet of the power distribution cabinet or switch cabinet are independent parts, and the cabinet may be a frame, etc.; the connection relationship includes but is not limited to existing connection technology methods such as riveting, welding, and threaded connection;

[0045] The monitoring and adjustment module is used to obtain the assembly output value and compare the assembly output value with the standard output value range. If the assembly output value belongs to the standard output value range, the assembly output value is continuously monitored; if the assembly output value is less than the minimum value of the standard output value range, the data analysis module is called to implement the assembly node expansion plan S2; if the assembly output value is greater than the maximum value of the standard output value range, the ratio of the assembly output value to the median of the standard output value range is calculated to obtain the improvement coefficient K, and the minimum and maximum values ​​of the standard output value range are multiplied by the improvement coefficient K to update the standard output value range; the assembly output value can be obtained by counting the assembly body conveying lines that have been assembled at the back end. Specifically, the existing technologies such as counters can be used for calculation.

[0046] Example 2: Reference Figure 1 , an intelligent assembly method and device for a power distribution switch cabinet, comprising a sequence generation module, performing a union operation on feature assembly subsets to obtain a feature assembly total set, obtaining the number of all non-independent parts in the feature assembly total set, and numbering the non-independent parts in the feature assembly total set according to a basic quantity sorting method to obtain a standard assembly sequence;

[0047] The basic quantity sorting method is:

[0048] Sort the number of dependent parts from large to small to obtain a non-independent parts sorting sequence. Different dependent parts are marked as FDi according to the non-independent parts sorting sequence. The obtained standard assembly sequence is {FD1, FD2, FD3, ..., FDn1}; i is the non-independent part number, i=1, 2, ..., n1, n1 is the total number of non-independent part types;

[0049] A characteristic assembly subsequence is obtained according to the non-independent part numbers and the assembly sequence of the non-independent parts in the assembly unit, and a sequence construction method is implemented on the characteristic assembly subsequence to obtain a standard assembly subsequence; the characteristic assembly subsequence and the corresponding standard assembly subsequence are transmitted to the data analysis module; the characteristic assembly subsequence can be composed of several non-independent parts, such as an assembly unit composed of five non-independent parts, whose characteristic assembly subsequence is {FD3, FD1, FD5, FD2, FD7}, and whose assembly sequence is: assemble FD3 first, then assemble FD1 onto FD3, then assemble FD5 onto FD3, and so on;

[0050] The sequence construction method is:

[0051] Construct a first empty sequence of the same length as the standard assembly sequence, and sequentially place the elements in the standard assembly sequence into the feature assembly subsequence for element traversal;

[0052] If the traversal result exists, return the element; if the traversal result does not exist, return 0; get the address in the traversal result, and insert the traversal result into the first empty sequence according to the address to generate a standard assembly subsequence; according to the above-mentioned characteristic assembly subsequence is {FD3, FD1, FD5, FD2, FD7}, its standard assembly subsequence can be {FD1, FD2, FD3, 0, FD5, 0, 0..., 0};

[0053] A data analysis module is used to construct a standard assembly matrix according to standard assembly subsequences of several assembly units, obtain a column sequence Li in the standard assembly matrix, implement an arrangement method on the column sequence Li to obtain an arrangement result, perform a corresponding transformation on the standard assembly subsequence according to the arrangement result to obtain a feature assembly matrix, traverse the feature assembly matrix to obtain a traversal result, and implement an assembly node setting scheme S1 according to the traversal result;

[0054] S101. Arrange several standard assembly subsequences vertically to obtain an i×j standard assembly matrix; j is the row number of the standard assembly matrix, j∈[1,n2], and n2 is the total number of assembly units; obtain the element position L(i,j) of the standard assembly matrix; for example, several standard assembly subsequences {0, FD2, 0, FD4, 0}, {FD1, 0, FD3, 0, FD5}, {FD1, FD2, FD3, FD4, FD5}, {0, 0, 0, FD4, FD5}, {FD1, 0, 0, FD4, 0} are constructed into a standard assembly matrix as follows:

[0055] ; Formula (1)

[0056] S102, obtaining a column sequence Li of a standard assembly matrix, and performing an arrangement method on elements in the column sequence Li to obtain a column number sequence;

[0057] The specific arrangement method is:

[0058] Construct a second empty sequence of the same length as the column sequence Li, and traverse the column sequence Li;

[0059] If the traversal result is 0, the traversal result is inserted into the second empty sequence in the order from the starting element to the last element of the second empty sequence; if the traversal result is not 0, the traversal result is inserted into the remaining positions of the second empty sequence in order to obtain a column number sequence;

[0060] S103, judging whether the column number in the column number sequence has the first characteristic and the second characteristic:

[0061] The judgment method of the first feature is:

[0062] Determine whether there are consecutive 0 numbers in the column number sequence. If there are consecutive 0 column numbers, determine that the consecutive 0 column numbers have the first feature, and mark the consecutive 0 column numbers as the first target column numbers; otherwise, determine that the column numbers in the column number sequence do not have the first feature;

[0063] The second feature is determined by:

[0064] Determine whether there are consecutive non-zero column numbers in the column number sequence. If there are consecutive non-zero column numbers, determine that the consecutive non-zero column numbers have the second feature, and mark the consecutive non-zero column numbers as the second target column numbers; otherwise, determine that the column numbers in the column number sequence do not have the second feature;

[0065] S104, performing corresponding row transformation on the standard assembly subsequence in the standard assembly matrix according to the column number sequence to obtain a characteristic assembly matrix, and establishing an assembly node according to the characteristic assembly matrix;

[0066] As in the above formula (1), the column sequence L1 is {0, 1, 1, 0, 1}, L2 is {2, 0, 2, 0, 0}, L3 is {0, 3, 3, 0, 0}, and so on to obtain the column sequences L1-L5; for the column sequence L1, after sorting, the numbering sequence obtained is {0, 0, 1, 1, 1}, where the first target column number is {0, 0} and the second target column number is {1, 1, 1}; after the column sequence L1 is sorted, at this time, the column sequence L2 is {2, 0, 0, 2, 0}; the column sequence L3 is {0, 0, 3, 3, 0}; and so on to obtain the column sequences L1-L5 after the first arrangement;

[0067] According to the first target column number and the second target column number, respectively obtain the first target sequence and the second target sequence of the next column sequence L(i+1), arrange the first target sequence and the second target sequence according to the arrangement method, and update the column number sequence;

[0068] For example, if the first target sequence of the column sequence L2 is {2,0}, and the second target sequence is {0,2,0}, the first target sequence and the second target sequence are sorted to obtain {0,2} and {0,0,2} respectively. In this case, the column number sequence L2 is updated to {2,0,0,0,2}, where {0,0,0} satisfies the first feature and does not have the second feature. The first target column number is updated to {0,0,0}, and there is no second target column number.

[0069] At this time, the column sequence L3 is {0,0,3,0,3}, wherein the first target sequence of the column sequence L3 is {0,3,0}, and there is no second target sequence; and the sorting is completed in the same way;

[0070] After the above arrangement, the feature assembly matrix is ​​as follows;

[0071] ; Formula (2)

[0072] S105, obtaining a feature assembly matrix point T (i, j), traversing the feature assembly matrix row by row starting from the point T (1, 1), and establishing a corresponding assembly node according to the traversal result;

[0073] In the first row, create the assembly nodes of FD4 and FD5;

[0074] In the second row, create the assembly node of FD2 and FD5;

[0075] In the third row, create the assembly node of FD1 and FD4;

[0076] In the fourth row, since three different parts appear, it is necessary to obtain the feature assembly sequence of the assembly unit; the feature assembly sequence can be set to {FD1, FD3, FD5}, which means that the assembly order of the assembly unit is to assemble FD1 first, then FD3, and finally FD5. Therefore, it is necessary to establish the assembly nodes of FD1 and FD3 and FD3 and FD5 respectively;

[0077] In the fifth row, the feature assembly sequence of the assembly unit can be set to {FD1, FD4, FD2, FD3, FD5}, then the assembly order of the assembly unit is an expansion of the assembly order of the second, third and fourth rows, and only the assembly nodes of FD2 and FD4 need to be established; it should be noted that different assembly nodes are established in parallel, if the assembly nodes required by the assembly unit include existing assembly nodes, then the required assembly nodes are serially established after the established parallel nodes;

[0078] It should be noted that the assembly production line is the total assembly industrial line, which can have multiple assembly lines, not specifically one assembly line; in the above assembly node setting scheme, the vertical order of the standard assembly subsequence in the feature assembly matrix can be understood as the complexity of the assembly type. The later the order, the higher the complexity of the assembly type. The assembly nodes are set according to the types of parts required by different assembly units and the complexity of the assembly types, and the assembly process is optimized to ensure that the parts will not be assembled in the process of assembling due to the wrong assembly node setting, resulting in the assembly unit with many types of parts at the front end of the assembly production line and the assembly unit with few types of parts at the back end of the assembly production line, and the problem of low assembly efficiency caused by congestion at the terminal or back end of the assembly production line due to uneven distribution of the types of parts in the assembly unit in the assembly production line;

[0079] Sort the non-independent part numbers in the feature assembly subsequence to obtain a feature number sequence, calculate the feature path, perform data analysis on the feature path to obtain analysis results, and implement assembly node expansion plan S2 for the assembly unit corresponding to the feature path according to the analysis results;

[0080] The steps to implement the assembly node expansion solution include:

[0081] S201, sorting the non-independent part number i in the feature assembly subsequence to obtain a feature number sequence {i1, i2, ..., ik}, where k is the element number in the feature number sequence, k is a positive integer, k=1, 2, 3, ..., n3, where n3 represents the total number of elements;

[0082] S202, processing formula according to path length:

[0083] ;

[0084] The characteristic path length S is calculated; where: It is an element number acquisition function, which means obtaining the element number of the sequence element ik; It represents the number difference formed by element ik to element i (k+1) in the forward numbering sequence, TZ represents the characteristic coefficient, and the characteristic coefficient TZ satisfies:

[0085] ;

[0086] The characteristic path S can be understood as the complexity of the parts assembly sequence; the characteristic coefficient XL indicates that the forward assembly sequence is from a large number of parts to a small number of parts, and the complexity of the parts assembly sequence is low, and the assembly can be performed according to the existing assembly nodes; the reverse assembly sequence is from a small number of parts to a large number of parts, and the complexity of the parts assembly sequence is high, and additional assembly nodes need to be established for assembly;

[0087] For example, the feature number sequence of the feature assembly subsequence {FD1, FD2, FD3, FD4, FD5} is {1, 2, 3, 4, 5}, the total difference number n3 is 4, and the feature path length S=1+1+1+1+1=5; for example, the feature number sequence of the feature assembly subsequence {FD3, FD1, FD5, FD2, FD7} is {3, 1, 5, 2, 7}, the total difference number n3 is 4, and the feature path length S=4×2+1×4+4×3+1×5=29;

[0088] S203, compare the characteristic path S with the standard path Sc; if the characteristic path S is not greater than the standard path Sc, it is determined that the characteristic path S meets the standard path Sc, and no additional assembly nodes are set; if the characteristic path S is greater than the standard path Sc, the minimum assembly node relationship is used:

[0089] ;

[0090] The minimum number of additional assembly nodes A is calculated, and the minimum number of additional assembly nodes A satisfies A∈{1,2,…,n3}; the standard path Sc is obtained based on the statistics of historical situations that meet the assembly capacity standards; n4 is the minimum added value, and n4 is a positive integer;

[0091] For example, if the characteristic path S=29, the standard path Sc is 10, and the minimum additional value n4 is 1, the minimum number of additional assembly nodes A=(29+1) / 10-1=2 can be obtained. It is necessary to expand two identical assembly nodes in the existing nodes to improve assembly efficiency.

[0092] By implementing the assembly node setting plan S1 and the assembly node expansion plan S2, the transport assembly module is controlled, the assembly line is optimized, the assembly efficiency is improved, and the assembly output value is guaranteed.

[0093] Example 3: Reference Figure 2 , a method and device for intelligent assembly of a power distribution switch cabinet, comprising

[0094] The transport assembly module is used to assemble parts onto the main body to be assembled. The transport assembly module consists of an assembly production line 1 and an assembly node 2. The assembly production line consists of several sub-production lines 101. The assembly production line 1 is used to set up a transport mechanism for transporting parts and the main body to be assembled. In the figure, the solid circle represents the set assembly node 2, and the dotted circle represents the expanded assembly node 2. The transport mechanism can be existing technical equipment such as a conveyor belt.

[0095] It is further explained that the above-mentioned fixed connection should be understood in a broad sense unless otherwise clearly specified and limited. For example, it can be welding, gluing, or one-piece molding, etc., which are conventional means well known to those skilled in the art.

[0096] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An intelligent assembly method for a power distribution switch cabinet, comprising a data statistics module, a model building module, a sequence generation module, a data analysis module and a monitoring and adjustment module, characterized in that: A data statistics module is used to obtain part information, including part types and part quantities corresponding to different part types, and transmit the part information to a part numbering module; A model building module is used to generate a three-dimensional model of the subject to be assembled, identify independent parts and dependent parts of the three-dimensional model, obtain the assembly order of the dependent parts in the assembly unit, build a feature assembly subset according to the assembly order, and arrange the feature assembly subset according to the order of the dependent parts, and transmit the feature assembly subset to the part numbering module; The sequence generation module performs a union operation on the feature assembly subsets to obtain the feature assembly set, obtains the number of all non-independent parts in the feature assembly set, and numbers the non-independent parts in the feature assembly set according to the basic quantity sorting method to obtain a standard assembly sequence; A data analysis module is used to construct a standard assembly matrix according to standard assembly subsequences of several assembly units, obtain a column sequence Li in the standard assembly matrix, implement an arrangement method on the column sequence Li to obtain an arrangement result, perform a corresponding transformation on the standard assembly subsequence according to the arrangement result to obtain a feature assembly matrix, and traverse the feature assembly matrix to obtain a traversal result; Sort the non-independent part numbers in the feature assembly subsequence to obtain a feature number sequence, calculate the feature path, perform data analysis on the feature path to obtain analysis results, and implement assembly node expansion plan S2 for the assembly unit corresponding to the feature path according to the analysis results; The assembly node expansion scheme S2 includes the following steps: The non-independent part number i in the feature assembly subsequence is sorted by number to obtain a feature number sequence {i1, i2, ..., ik}, where k is the element number in the feature number sequence, k is a positive integer, k=1, 2, 3, ..., n3, n3 represents the total number of elements; Processing formula according to path length: ； The characteristic path length S is calculated; where: It is an element number acquisition function, which means obtaining the element number of the sequence element ik; It represents the number difference formed by element ik to element i (k+1) in the forward numbering sequence, TZ represents the characteristic coefficient, and the characteristic coefficient TZ satisfies: ； Compare the characteristic path S with the standard path Sc; if the characteristic path S is not greater than the standard path Sc, it is determined that the characteristic path S meets the standard path Sc, and no additional assembly nodes are set; if the characteristic path S is greater than the standard path Sc, the minimum assembly node relationship is used: ； The minimum number of additional assembly nodes A is calculated, and the minimum number of additional assembly nodes A satisfies A∈{1,2,…,n3}; The standard path Sc is obtained based on the historical statistics of situations that meet the assembly capacity standards; n4 is the minimum added value, and n4 is a positive integer.

2. The intelligent assembly method of a power distribution switch cabinet according to claim 1, characterized in that: for: Sort the number of dependent parts from large to small to obtain a non-independent parts sorting sequence. Different dependent parts are marked as FDi according to the non-independent parts sorting sequence. The obtained standard assembly sequence is {FD1, FD2, FD3, ..., FDn1}; i is the non-independent part number, i=1, 2, ..., n1, n1 is the total number of non-independent part types; A characteristic assembly subsequence is obtained according to the non-independent part numbers and the assembly order of the non-independent parts in the assembly unit, and a sequence construction method is implemented on the characteristic assembly subsequence to obtain a standard assembly subsequence; the characteristic assembly subsequence and the corresponding standard assembly subsequence are transmitted to a data analysis module.

3. The intelligent assembly method of a power distribution switch cabinet according to claim 2, characterized in that: The sequence construction method is: Construct a first empty sequence of the same length as the standard assembly sequence, and sequentially place the elements in the standard assembly sequence into the feature assembly subsequence for element traversal; If the traversal result exists, return the element; if the traversal result does not exist, return 0; obtain the address in the traversal result, and insert the traversal result into the first empty sequence according to the address to generate a standard assembly subsequence.

4. The intelligent assembly method of a power distribution switch cabinet according to claim 3 is characterized in that: Arrange several standard assembly subsequences vertically to obtain an i×j standard assembly matrix; j is the row number of the standard assembly matrix, j∈[1,n2], and n2 is the total number of assembly units; Get the element position L(i, j) of the standard assembly matrix; Obtain a column sequence Li of the standard assembly matrix, and implement an arrangement method on the elements in the column sequence Li to obtain a column number sequence; The specific arrangement method is: Construct a second empty sequence of the same length as the column sequence Li, and traverse the column sequence Li; If the traversal result is 0, the traversal result is inserted into the second empty sequence in the order from the starting element to the last element of the second empty sequence; if the traversal result is not 0, the traversal result is inserted into the remaining positions of the second empty sequence in sequence to obtain a column number sequence.

5. The intelligent assembly method of a power distribution switch cabinet according to claim 4, characterized in that: Determine whether a column number in the column number sequence has a first feature and a second feature and obtain a first target column number and a second target column number respectively; According to the first target column number and the second target column number, respectively obtain the first target sequence and the second target sequence of the next column sequence L(i+1), arrange the first target sequence and the second target sequence according to the arrangement method, and update the column number sequence; According to the column number sequence, the standard assembly subsequence in the standard assembly matrix is ​​transformed into a characteristic assembly matrix, and the assembly node is established according to the characteristic assembly matrix.

6. The intelligent assembly method of a power distribution switch cabinet according to claim 5, characterized in that: The monitoring and adjustment module is used to obtain the assembly output value and compare the assembly output value with the standard output value range. If the assembly output value belongs to the standard output value range, the assembly output value is continuously monitored; if the assembly output value is less than the minimum value of the standard output value range, the data analysis module is called to implement the assembly node expansion plan S2; if the assembly output value is greater than the maximum value of the standard output value range, the ratio of the assembly output value to the median of the standard output value range is calculated to obtain the improvement coefficient K, and the minimum and maximum values ​​of the standard output value range are multiplied by the improvement coefficient K to update the standard output value range.

7. An intelligent assembly device for a power distribution switch cabinet, using the intelligent assembly method for a power distribution switch cabinet as described in claim 1, characterized in that: It comprises a transport assembly module for assembling parts onto a body to be assembled. The transport assembly module consists of an assembly production line (1) and an assembly node (2). The assembly production line consists of a plurality of sub-production lines (101). The assembly production line (101) is used to set a transport mechanism for transporting parts and the body to be assembled.

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