Steel structure production management traceability system based on electronic tags

Abstract

The invention relates to the technical field of production management traceability, and specifically discloses a steel structure production management traceability system based on electronic tags, comprising: a traceability construction module, which acquires production nodes and paths to construct traceability paths and node sets; a node discrimination module, which divides traceability nodes into active and blank nodes according to historical data, calculates expected analysis node steady-state values ​​by an entropy weight method, and determines steady-state unbalanced nodes; a node analysis module, which analyzes the continuity of steady-state unbalanced node distribution, calculates the overall instability value and compares it with a threshold to determine whether to generate an instability analysis signal; an instability analysis module, which constructs node steady-state and defective node sequences, calculates mutual information values ​​by constructing an analysis table, and determines high-risk unbalanced nodes; an imbalance analysis module, which analyzes the aging of equipment and system maintenance of high-risk unbalanced nodes, calculates maintenance values ​​and strengthens the maintenance of high-risk unbalanced nodes, so as to improve the quality control level of steel structure production.

Description

Technical Field

[0001] The present invention relates to the technical field of production management tracing, and in particular to a steel structure production management tracing system based on electronic tags. Background Art

[0002] In the field of steel structure production, the traditional production management and traceability methods have exposed many drawbacks when faced with complex steel structure production processes.

[0003] A Chinese patent application with announcement number CN118244706B discloses an intelligent production management system for steel structure products, including: involving the field of production management technology, scheduling and matching execution according to priority allocation coefficients can achieve reasonable allocation of raw materials and reduce transportation costs and time; by timely adjusting the allocation strategy, raw materials are allocated from production areas with sufficient supply to production areas with insufficient raw materials, ensuring that each production area can complete orders on time and improve overall production efficiency.

[0004] In the existing technology, there is no traceability path and traceability node set. Once a product has quality problems, it is difficult for the company to quickly determine the specific link where the problem occurs, and it is impossible to trace the error to the raw materials, processing or operation links, which hinders the implementation of production quality improvement work.

[0005] In the existing technology, there is a lack of numerical analysis of defective products produced by traceability nodes, and it is impossible to analyze steady-state imbalance nodes and take timely measures. Therefore, when the system faces sudden equipment failures or process parameter drifts, it is unable to detect and respond in time, affecting the company's production efficiency and economic benefits and reducing the company's market competitiveness.

[0006] To this end, the present invention provides a steel structure production management and tracing system based on electronic tags. Summary of the invention

[0007] The purpose of the present invention is to provide a steel structure production management and traceability system based on electronic tags to solve the above-mentioned problems.

[0008] The purpose of the present invention can be achieved through the following technical solutions:

[0009] The steel structure production management and traceability system based on electronic tags includes:

[0010] Traceability construction module: obtain different nodes and production paths of steel structure production, build the traceability path of steel structure production, and establish a traceability node set based on the production nodes on the traceability path;

[0011] Node discrimination module: Based on the traceability node set, the traceability nodes that fail to obtain traceability information are marked as traceability blank nodes. The traceability blank nodes and expected analysis nodes are analyzed by entropy weight method, and the steady-state value of the expected analysis node is calculated to obtain the steady-state imbalance node.

[0012] Node analysis module: Based on the steady-state imbalance node, the continuity of the distribution of the steady-state imbalance node in the traceability path is analyzed to obtain the overall instability value of the steady-state imbalance node on the traceability path. Based on the overall instability value, a comparative analysis is performed to determine whether an instability analysis signal needs to be generated;

[0013] Instability analysis module: Based on the instability analysis signal, the steady-state imbalance nodes are sorted according to the steady-state value, and the node steady-state sequence is constructed. The defective steel structure products produced at each node in the traceability path are quantitatively analyzed to obtain the defective node sequence. The correlation between the node steady-state sequence and the defective node sequence is analyzed to determine the high-risk imbalance nodes;

[0014] Traceability optimization module: Analyze the maintenance times of the node traceability system of the high-risk imbalance node, obtain the node maintenance value, and strengthen the maintenance of the high-risk imbalance node until the high-risk imbalance node no longer becomes a high-risk imbalance node or a traceability blank node.

[0015] As a further technical solution of the present invention, the method for obtaining the steady-state imbalance node is:

[0016] Obtain the number of times the same traceability node is marked as a traceability blank node and the number of times the traceability node data is recorded in the historical traceability data;

[0017] The number of times the same traceability node is marked as a traceability blank node is processed by ratio with the number of traceability node data records to obtain the blank node rate, which is marked as Kb;

[0018] If the traceability node is a node that is expected to require traceability analysis, the traceability node is marked as an expected analysis node;

[0019] Calculate the blank node rate of each expected analysis node, and construct a blank node vector K based on the blank node rate of each expected analysis node;

[0020] The number of times the same traceable node is marked as a traceable active node is processed by ratio with the number of traceable node data records to obtain the active node rate;

[0021] Calculate the active node rate of each expected analysis node, and construct an active node vector based on the active node rate of each expected analysis node;

[0022] Based on the blank node vector and the active node vector, the node original matrix A of the traceable node is constructed;

[0023] Perform data standardization on the original node matrix A and construct the node analysis matrix B;

[0024] Based on the node analysis matrix B, the entropy weight method is used to calculate the steady-state value Wt of each expected analysis node i ;

[0025] If the steady-state value Wt of the expected analysis node i Above the steady-state threshold, the prospective analysis node is marked as a steady-state imbalance node.

[0026] As a further technical solution of the present invention, the method for obtaining the traceable blank node is:

[0027] From the historical traceability data, obtain the traceability node in the traceability node set. If the traceability information of the traceability node cannot be obtained, mark the traceability node as a traceability blank node.

[0028] As a further technical solution of the present invention, the instability analysis signal is obtained in the following manner:

[0029] The continuity of the distribution of the steady-state unbalanced nodes in the traceability path is analyzed to obtain the continuous instability ratio Lw and the interval mean ratio Jgz, and the overall instability value Zts of the traceability path is calculated;

[0030] By formula: Get the overall instability value Zts of the traceability path, where c1 and c2 are preset proportional coefficients;

[0031] If the overall instability value Zts is higher than the overall instability threshold, an instability analysis signal needs to be generated.

[0032] As a further technical solution of the present invention, the continuous instability ratio Lw is obtained as follows:

[0033] Based on the steady-state imbalance nodes, a node index model is constructed using the sliding window method to determine whether the distribution of steady-state imbalance nodes in the traceability path appears continuously;

[0034] Specifically, the node index model is constructed as follows:

[0035] A1. According to the order of each traceability node in the traceability path, each traceability node in the traceability node set is numbered in sequence, and the traceability nodes in the traceability node set are reordered according to the order of the numbers to construct a sorted traceability node set;

[0036] A2. Obtain the order of the steady-state imbalance nodes in the sorted traceability node set, use the sliding window method to determine the continuous steady-state imbalance nodes, and construct the continuous node set Zs;

[0037] A3, repeat step A2 until the sliding window moves to the end tracing node of the tracing path;

[0038] The number of continuous steady-state imbalance nodes in the continuous node subset is obtained, and the number of continuous steady-state imbalance nodes in the continuous node set Zs is summed and averaged to obtain a continuous instability value;

[0039] The number of traceable nodes in the traceable node set is obtained, and the continuous instability value is ratioed with the number of traceable nodes in the traceable node set to obtain a continuous instability ratio, which is marked as Lw.

[0040] As a further technical solution of the present invention, the interval mean ratio Jgz is obtained as follows:

[0041] Get the number of traceable nodes between each continuous node subset in the continuous node set Zs, and get the interval node value;

[0042] All interval node values ​​in the continuous node set Zs are summed and averaged to obtain the interval node mean;

[0043] The mean of the interval nodes is compared with the number of traceable nodes in the traceable node set to obtain the interval mean ratio, which is marked as Jgz.

[0044] As a further technical solution of the present invention, the method for obtaining the high-risk imbalance node is:

[0045] Analyze the correlation between the node steady-state sequence and the defective node sequence, and obtain the mutual information value of the node analysis table through the mutual information formula;

[0046] Compare the mutual information value with the mutual information discrimination value to determine whether there is a correlation between the node steady-state sequence and the defective node sequence;

[0047] If there is a correlation between the node steady-state sequence or the defective node sequence, the traceability node with the random variable Z of 1 in the node analysis table is selected and marked as a high-risk imbalance node.

[0048] As a further technical solution of the present invention, the mutual information value is obtained in the following manner:

[0049] The node steady-state sequence is taken as the random variable X, the defect node sequence is taken as the random variable Y, the number overlap value is taken as the random variable Z, and a node analysis table is constructed;

[0050] The mutual information value of the node analysis table is obtained through the mutual information formula.

[0051] As a further technical solution of the present invention, the node steady-state sequence is constructed as follows:

[0052] Based on the instability analysis signal, the steady-state value of each traceability node in the traceability node set is obtained, the steady-state value of the traceability node is subjected to difference processing with the steady-state threshold, and the obtained result is subjected to ratio processing with the steady-state threshold to obtain the instability over-limit ratio;

[0053] According to the order of instability over-bound ratio from large to small, the traceability nodes are sorted to construct a node steady-state sequence;

[0054] The defect node sequence is constructed as follows:

[0055] Obtain the number of defective steel structure products produced by each traceability node in the traceability path, as well as the number of steel structure products generated by each traceability node, and perform ratio processing on the number of defective steel structure products and the number of steel structure products to obtain the production defect ratio;

[0056] Obtain the generation defect ratio of all traceability nodes in the traceability path, sort all traceability nodes in descending order of generation defect ratio, and construct a defect node sequence.

[0057] As a further technical solution of the present invention, the node maintenance value is obtained in the following manner:

[0058] From the maintenance log of the traceability node, obtain the actual maintenance times and maintenance times range of the high-risk imbalance node;

[0059] If the actual maintenance times of the high-risk imbalance node are lower than the minimum value of the maintenance times range, the maintenance times of the high-risk imbalance node need to be increased immediately;

[0060] If the actual maintenance times of the high-risk imbalance node are within the maintenance times range, the target maintenance times of the high-risk imbalance node is subtracted from the maximum endpoint value of the maintenance times range and the absolute value is taken to obtain the high-risk imbalance ratio;

[0061] From the historical maintenance data, obtain the number of times a high-risk imbalance node becomes a high-risk imbalance node again or a blank node after maintenance, and obtain the maintenance inefficiency value;

[0062] The high-risk imbalance ratio is multiplied by the maintenance inefficiency value to obtain the node maintenance value;

[0063] Obtain the average of the node maintenance values ​​of all high-risk imbalance nodes to obtain the node maintenance mean;

[0064] If the node maintenance value of a high-risk imbalance node is lower than the node maintenance average, the high-risk imbalance node will be maintained more effectively so that the high-risk imbalance node will no longer become a high-risk imbalance node or a traceable blank node.

[0065] Beneficial effects of the present invention:

[0066] By constructing a set of traceability nodes, potential risk points and steady-state imbalance nodes in the production process can be identified. For example, the steady-state value of the expected analysis node is calculated by the entropy weight method and compared with the threshold to timely discover the steady-state imbalance node.

[0067] By comprehensively analyzing the system maintenance status of high-risk imbalance nodes and calculating the node maintenance value, the maintenance work can be more targeted and scientific. For example, for a high-risk imbalance node, if its node maintenance value is lower than the node maintenance average, the system will prompt that maintenance needs to be strengthened. Based on this prompt, maintenance personnel can perform more frequent inspections and maintenance on the equipment at the node, which is conducive to improving the reliability of the production management traceability system. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] The present invention will be further described below in conjunction with the accompanying drawings.

[0069] Figure 1 It is a module diagram of the steel structure production management and tracing system based on electronic tags of the present invention;

[0070] Figure 2 It is a flow chart of the steel structure production management traceability method based on electronic tags in the present invention. DETAILED DESCRIPTION

[0071] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] Example 1

[0073] See also Figure 1 As shown, the present invention is a steel structure production management and traceability system based on electronic tags, including the following modules:

[0074] Traceability construction module: obtain different nodes and production paths of steel structure production, build the traceability path of steel structure production, and establish a traceability node set based on the production nodes on the traceability path;

[0075] In some embodiments, the production process of the steel structure is obtained, the production process is divided into multiple nodes, and a reader / writer of an electronic tag is installed on the equipment of each node. When the steel structure is in the corresponding node for production and manufacturing, the equipment of the node reads the electronic tag of the steel structure to obtain the number of the steel structure, and the equipment of the node writes the node production data corresponding to the steel structure number into the traceability database;

[0076] Among them, the nodes of the production process include: raw material receiving and inspection nodes, steel pretreatment nodes, component assembly nodes, welding nodes, etc.; the node production data corresponding to the production process nodes include: basic information of raw materials, cutting data of steel pretreatment, component positioning and assembly data of component assembly nodes, and data of welding nodes;

[0077] According to the progressive order of the steel structure production process, a traceability path is constructed, and the nodes of the production process in the traceability path are marked as traceability nodes;

[0078] Take all traceability nodes as set elements to construct a traceability node set;

[0079] Node discrimination module: Based on the traceability node set, the traceability nodes that fail to obtain traceability information are marked as traceability blank nodes. The traceability blank nodes and expected analysis nodes are analyzed by entropy weight method, and the steady-state value of the expected analysis node is calculated to obtain the steady-state imbalance node.

[0080] From the historical traceability data, obtain the traceability node in the traceability node set. If the traceability information of the traceability node cannot be obtained, mark the traceability node as a traceability blank node;

[0081] If the traceability information of the traceability node can be obtained, the traceability node is marked as a traceability active node;

[0082] It should be noted that the traceability blank node reflects that in the production node of the steel structure corresponding to the traceability node, due to the sudden failure of the equipment responsible for data collection, such as reader failure, sensor damage, or interference by human factors, such as the operator's mistaken operation of not starting the data collection program, and illegal shutdown of related equipment, the production data of the node cannot be successfully stored in the traceability database. When the production process of the steel structure needs to be traced for the purpose of quality control and problem troubleshooting, the complete traceability data of the traceability node cannot be retrieved from the traceability database, causing information faults in the entire traceability process, which adds obstacles to production management and problem tracing;

[0083] Obtain the number of times the same traceability node is marked as a traceability blank node and the number of times the traceability node data is recorded in the historical traceability data;

[0084] The number of times the same traceability node is marked as a traceability blank node is processed by ratio with the number of traceability node data records to obtain the blank node rate, which is marked as Kb;

[0085] If the traceability node is a node that is expected to require traceability analysis, the traceability node is marked as an expected analysis node;

[0086] Calculate the blank node rate Kb for each expected analysis node i, where i=1,2,...,n, i is the number of the expected analysis node, and n is the total number of the expected analysis nodes;

[0087] Based on the blank node rate Kb of each expected analysis node i Construct a blank node vector K, K=[Kb1,Kb2,...,Kb n ];

[0088] The number of times the same traceable node is marked as a traceable active node is processed by ratio with the number of traceable node data records to obtain the active node rate, and the active node rate is marked as Jy;

[0089] Calculate the active node rate Jy for each expected analysis node i , based on the active node rate Jy of each expected analysis node i Construct the active node vector Y, Y=[Jy1,Jy2,...,Jy n ];

[0090] Based on the blank node vector K and the active node vector Y, the node original matrix A of the traceability node is constructed = (a ij ) nx2 , transpose the blank node vector K and the active node vector Y respectively, and use them as the first and second columns of the original node matrix, j=1,2;

[0091] Among them, the node original matrix , a 11 The value of Kb1, a 12 The value of is Jy1;

[0092] Perform data standardization on the original node matrix A and construct the node analysis matrix B;

[0093] Specifically, the data standardization process is as follows:

[0094] , ,in, Represents the original matrix a of the node i1 The maximum and minimum values ​​of this column of elements, based on b i1 , b i2 Construct node analysis matrix B, B=(b ij ) nx2 ;

[0095] Based on the node analysis matrix B, the entropy weight method is used to calculate the steady-state value Wt of each expected analysis node i ;

[0096] Specifically, calculate the entropy value e of each expected analysis node i ;

[0097] By formula: Get the entropy value e of each expected analysis node i ;

[0098] By formula: Get the steady-state value Wt of each expected analysis node i ;

[0099] The steady-state value Wt of each expected analysis node i Compare with the steady-state threshold to obtain the steady-state imbalance node;

[0100] If the steady-state value Wt of the expected analysis node i If it is above the steady-state threshold, the expected analysis node is marked as a steady-state imbalance node;

[0101] If the steady-state value Wt of the expected analysis node i If it is below the steady-state threshold, no treatment will be performed;

[0102] The technical solution of this embodiment is: obtaining different nodes and production paths of steel structure production, constructing a traceability path for steel structure production, establishing a traceability node set based on the production nodes on the traceability path, marking the traceability nodes for which traceability information cannot be obtained as traceability blank nodes based on the traceability node set, analyzing the traceability blank nodes and the expected analysis nodes through the entropy weight method, calculating the steady-state value of the expected analysis node, and obtaining the steady-state imbalance node, and dividing the traceability nodes of the traceability path, which is helpful to discover problems in the traceability path.

[0103] Example 2

[0104] Please refer to Figure 1 As shown in the figure, the steel structure production management and traceability system based on electronic tags also includes the following modules:

[0105] Node analysis module: Based on the steady-state imbalance node, the continuity of the distribution of the steady-state imbalance node in the traceability path is analyzed to obtain the overall instability value of the steady-state imbalance node on the traceability path. Based on the overall instability value, a comparative analysis is performed to determine whether an instability analysis signal needs to be generated;

[0106] Based on the steady-state imbalance nodes, a node index model is constructed using the sliding window method to determine whether the distribution of steady-state imbalance nodes in the traceability path appears continuously;

[0107] Specifically, the node index model is constructed as follows:

[0108] A1. According to the order of each traceability node in the traceability path, each traceability node in the traceability node set is numbered in sequence, and the traceability nodes in the traceability node set are reordered according to the order of the numbers to construct a sorted traceability node set;

[0109] A2. Obtain the order of the steady-state imbalance nodes in the sorted traceability node set, use the sliding window method to determine the continuous steady-state imbalance nodes, and construct the continuous node set Zs;

[0110] Specifically, the size of the sliding window is set to 2, and the sliding window starts from the starting tracing node of the tracing path;

[0111] If two traceability nodes that are adjacent to each other in the traceability path in the sliding window are both marked as steady-state imbalance nodes, the steady-state imbalance nodes are considered to be continuous, otherwise, they are discontinuous;

[0112] The sliding window moves along the tracing path, the sliding window moves a tracing node, the continuous steady-state imbalance nodes are marked in the tracing node set, the continuous steady-state imbalance nodes in the tracing node set are divided into a continuous node subset, and the continuous node set Zs is constructed;

[0113] For example, the traceability node set is {a1, a2, a3, a4, ..., a n-3 , a n-2 , a n-1 ,a n}, the continuous node set Zs={a1,{a2,a3},a4,...,{a n-3 , a n-2 , a n-1},a n}, {a2, a3} represents a continuous node subset, a2 and a3 in the subset represent continuous steady-state imbalance nodes, where a1 represents each traceable node, 1 represents the number of the traceable node in the traceable path, and n is the total number of traceable nodes;

[0114] A3, repeat step A2 until the sliding window moves to the end tracing node of the tracing path;

[0115] The number of continuous steady-state imbalance nodes in the continuous node subset is obtained, and the number of continuous steady-state imbalance nodes in the continuous node set Zs is summed and averaged to obtain a continuous instability value;

[0116] The number of traceable nodes in the traceable node set is obtained, and the continuous instability value is processed by ratio with the number of traceable nodes in the traceable node set to obtain a continuous instability ratio, and the continuous instability ratio is marked as Lw;

[0117] Get the number of traceable nodes between each continuous node subset in the continuous node set Zs, and get the interval node value;

[0118] All interval node values ​​in the continuous node set Zs are summed and averaged to obtain the interval node mean;

[0119] The mean of the interval nodes is compared with the number of traceable nodes in the traceable node set to obtain the interval mean ratio, which is marked as Jgz;

[0120] Based on the continuous instability ratio Lw and the interval mean ratio Jgz, the overall instability value Zts of the traceability path is calculated;

[0121] By formula: The overall instability value Zts of the traceability path is obtained, and c1 and c2 are 0.82 and 0.43 respectively;

[0122] Compare the overall instability value Zts with the overall instability threshold to determine whether an instability analysis signal needs to be generated;

[0123] It should be noted that the overall instability threshold is set by those skilled in the art based on experience;

[0124] If the overall instability value Zts is higher than the overall instability threshold, it indicates that the continuous steady-state imbalance nodes on the traceability path account for a large proportion, which makes the traceability path of steel structure production management unstable and requires the generation of instability analysis signals;

[0125] If the overall instability value Zts is lower than the overall instability threshold, it means that the proportion of consecutive steady-state imbalance nodes on the traceability path is within expectations, and there is no need to generate an instability analysis signal;

[0126] Instability analysis module: Based on the instability analysis signal, the steady-state imbalance nodes are sorted according to the steady-state value, and the node steady-state sequence is constructed. The defective steel structure products produced at each node in the traceability path are quantitatively analyzed to obtain the defective node sequence. The correlation between the node steady-state sequence and the defective node sequence is analyzed to determine the high-risk imbalance nodes;

[0127] Based on the instability analysis signal, the steady-state value of each traceability node in the traceability node set is obtained, the steady-state value of the traceability node is subjected to difference processing with the steady-state threshold, and the obtained result is subjected to ratio processing with the steady-state threshold to obtain the instability over-limit ratio;

[0128] According to the order of instability over-bound ratio from large to small, the traceability nodes are sorted to construct a node steady-state sequence;

[0129] It should be noted that, since not all traceability nodes in the traceability node set are expected analysis nodes, some traceability nodes do not have steady-state values. After the traceability nodes with steady-state values ​​are sorted by the instability over-bound ratio, the remaining traceability nodes without steady-state values ​​are sorted according to the node order of the original traceability node set.

[0130] Obtain the number of defective steel structure products produced by each traceability node in the traceability path, as well as the number of steel structure products generated by each traceability node, and perform ratio processing on the number of defective steel structure products and the number of steel structure products to obtain the production defect ratio;

[0131] Obtain the generation defect ratio of all traceability nodes in the traceability path, sort all traceability nodes in descending order of generation defect ratio, and construct a defect node sequence;

[0132] The node steady-state sequence is taken as the random variable X, the defect node sequence is taken as the random variable Y, the number overlap value is taken as the random variable Z, and a node analysis table is constructed;

[0133] It should be noted that the number overlap value indicates the state where the numbers of the traceable nodes in the node steady-state sequence and the defective node sequence are the same;

[0134] Among them, each row in the node analysis table represents each node in the node steady-state sequence or defective node sequence, and each column represents the state of the node with steady-state imbalance;

[0135] If a steady-state imbalance node appears in the column where the random variable X is located, it is marked as 1, otherwise it is marked as 0;

[0136] If a steady-state imbalance node appears in the column where the random variable Y is located, it is marked as 1, otherwise it is marked as 0;

[0137] If the traceability nodes in the random variable Z column, the node steady-state sequence and the defect node sequence have the same number, that is, the same sequence, it is marked as 1, otherwise it is marked as 0;

[0138] Count the number of times all the columns of random variables X, Y, and Z are marked as 1, marked as n xyz ;

[0139] Calculate the joint probability P(X,Y,Z), , n is the total number of traceability nodes in the traceability node set;

[0140] Calculate the marginal probability distribution P(X, Z), P(Y, Z) by the formula:

[0141] Get the marginal probability distribution P(X, Z), where Z is the limiting condition;

[0142] in, Represents the probability of all the random variables X and Z being marked as 1;

[0143] By formula: Get the marginal probability distribution P(Y, Z);

[0144] Through the mutual information formula: Get the mutual information value of the node analysis table ,in , , ;

[0145] It should be noted that the mutual information value measures the amount of information contained between two random variables. In the node steady-state sequence and the defective node sequence, the mutual information value reflects the ability to infer the information of another sequence through the information of one sequence. When the mutual information value is high, it means that the state in the node steady-state sequence can provide more information about the state of the node in the defective node sequence, and vice versa, reflecting that there is a strong correlation between the two sequences.

[0146] Compare the mutual information value with the mutual information discrimination value to determine whether there is a correlation between the node steady-state sequence and the defective node sequence;

[0147] Among them, the mutual information discrimination value is 0.8;

[0148] If the mutual information value is higher than the mutual information discrimination value, then the node steady-state sequence is associated with the defective node sequence, otherwise, there is no association;

[0149] If there is a correlation between the node steady-state sequence and the defective node sequence, select the traceability node whose random variable Z is 1 in the node analysis table and mark it as a high-risk imbalance node;

[0150] The technical solution of this embodiment is as follows: based on the steady-state imbalance nodes, the continuity of the distribution of the steady-state imbalance nodes in the traceability path is analyzed to obtain the overall instability value of the steady-state imbalance nodes on the traceability path; based on the overall instability value, a comparative analysis is performed to determine whether it is necessary to generate an instability analysis signal; based on the instability analysis signal, the steady-state imbalance nodes are sorted according to the steady-state value to construct a node steady-state sequence; a quantitative analysis is performed on the defective steel structure products produced at each node in the traceability path to obtain a defective node sequence; the correlation between the node steady-state sequence and the defective node sequence is analyzed to determine the high-risk imbalance nodes; the high-risk imbalance nodes on the traceability path are determined in combination with the unstable traceability nodes on the traceability path and the proportion of steel structure defects in the traceability path; the existing problems of the traceability system are analyzed from multiple dimensions, which is conducive to providing the stability of the traceability system.

[0151] Example 3

[0152] Traceability optimization module: Analyze the maintenance times of the node traceability system of high-risk imbalance nodes, obtain the node maintenance value, and strengthen the maintenance of high-risk imbalance nodes until the high-risk imbalance nodes no longer become high-risk imbalance nodes or traceability blank nodes;

[0153] From the maintenance log of the traceability node, obtain the actual maintenance times and maintenance times range of the high-risk imbalance node;

[0154] It should be noted that each traceability node has a corresponding maintenance times range value, and the maintenance times range value is set by professional and technical personnel in this field based on experience;

[0155] If the actual maintenance times of the high-risk imbalance node are lower than the minimum value of the maintenance times range, the maintenance times of the high-risk imbalance node need to be increased immediately;

[0156] If the actual maintenance times of the high-risk imbalance node are within the maintenance times range, the target maintenance times of the high-risk imbalance node is subtracted from the maximum endpoint value of the maintenance times range and the absolute value is taken to obtain the high-risk imbalance ratio;

[0157] From the historical maintenance data, obtain the number of times a high-risk imbalance node becomes a high-risk imbalance node again or traces back to a blank node after maintenance, and perform dedimensionalization processing to obtain the maintenance inefficiency value;

[0158] The high-risk imbalance ratio is multiplied by the maintenance inefficiency value to obtain the node maintenance value;

[0159] Obtain the average of the node maintenance values ​​of all high-risk imbalance nodes to obtain the node maintenance mean;

[0160] If the node maintenance value of a high-risk imbalance node is lower than the node maintenance average, the high-risk imbalance node will be maintained more effectively so that the high-risk imbalance node will no longer become a high-risk imbalance node or a traceable blank node;

[0161] The technical solution of this embodiment is: analyze the maintenance times of the node traceability system of the high-risk imbalance node to obtain the node maintenance value, strengthen the maintenance of the high-risk imbalance node until the high-risk imbalance node is no longer a high-risk imbalance node or a traceability blank node, and optimize the high-risk analysis nodes on the traceability path in combination with the maintenance times of the traceability node, which is conducive to improving the stability of the traceability system.

[0162] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the present invention.

Claims

1. The steel structure production management and traceability system based on electronic tags is characterized by: include: Traceability construction module: constructs the traceability path and traceability node set for steel structure production; The traceability path and traceability node set are constructed as follows: Obtain the production process of the steel structure, divide the production process into multiple nodes, install the reader / writer of the electronic tag on the equipment of each node, when the steel structure is in the corresponding node for production and manufacturing, the equipment of the node reads the electronic tag of the steel structure, obtains the number of the steel structure, and the equipment of the node writes the node production data corresponding to the steel structure number into the traceability database; According to the progressive order of the steel structure production process, a traceability path is constructed, and the nodes of the production process in the traceability path are marked as traceability nodes; Take all traceability nodes as set elements to construct a traceability node set; Node discrimination module: Based on the traceability node set, the traceability nodes that failed to obtain traceability information are converted into traceability blank nodes. The traceability blank nodes and expected analysis nodes are analyzed by entropy weight method, and the steady-state values ​​of the expected analysis nodes are analyzed to obtain steady-state imbalance nodes. Node analysis module: Based on the steady-state imbalance nodes, the continuity of the distribution of the steady-state imbalance nodes in the traceability path is analyzed to obtain the overall instability value of the steady-state imbalance nodes on the traceability path, and determine whether it is necessary to generate an instability analysis signal; Instability analysis module: Based on the instability analysis signal, the node steady-state sequence is constructed, the defective steel structure products produced at each node in the traceability path are quantitatively analyzed, the defective node sequence is established, the correlation analysis between the node steady-state sequence and the defective node sequence is performed, and the high-risk imbalance nodes are determined; Tracing optimization module: Perform numerical analysis on the maintenance times of high-risk imbalance nodes to obtain node maintenance values, and strengthen maintenance of high-risk imbalance nodes based on the node maintenance values ​​until the high-risk imbalance nodes no longer become high-risk imbalance nodes or are traceable blank nodes.

2. The steel structure production management and traceability system based on electronic tags according to claim 1 is characterized by: The method for obtaining the steady-state imbalance node is as follows: Obtain the number of times the same traceability node is marked as a traceability blank node and the number of times the traceability node data is recorded in the historical traceability data; The number of times the same traceability node is marked as a traceability blank node is ratioed to the number of traceability node data records to obtain the blank node rate; If the traceability node is a node that is expected to require traceability analysis, the traceability node is marked as an expected analysis node; Calculate the blank node rate of each expected analysis node, and construct a blank node vector K based on the blank node rate of each expected analysis node; The number of times the same traceable node is marked as a traceable active node is processed by ratio with the number of traceable node data records to obtain the active node rate; Calculate the active node rate of each expected analysis node, and construct an active node vector based on the active node rate of each expected analysis node; Based on the blank node vector and the active node vector, the node original matrix A of the traceable node is constructed; Perform data standardization on the original node matrix A and construct the node analysis matrix B; Based on the node analysis matrix B, the entropy weight method is used to calculate the steady-state value Wt of each expected analysis node i , i is the number of the expected analysis node; If the steady-state value Wt of the expected analysis node i Above the steady-state threshold, the prospective analysis node is marked as a steady-state imbalance node.

3. The steel structure production management and traceability system based on electronic tags according to claim 2 is characterized by: The method for obtaining the traceability blank node is as follows: From the historical traceability data, obtain the traceability node in the traceability node set. If the traceability information of the traceability node cannot be obtained, mark the traceability node as a traceability blank node.

4. The steel structure production management and traceability system based on electronic tags according to claim 1 is characterized by: The instability analysis signal is obtained in the following manner: The continuity of the distribution of the steady-state unbalanced nodes in the traceability path is analyzed to obtain the continuous instability ratio Lw and the interval mean ratio Jgz, and the overall instability value Zts of the traceability path is calculated; The overall instability value Zts of the traceability path is obtained through the formula: c1 and c2 are preset proportional coefficients; If the overall instability value Zts is higher than the overall instability threshold, an instability analysis signal needs to be generated.

5. The steel structure production management and traceability system based on electronic tags according to claim 4 is characterized by: The continuous instability ratio Lw is obtained as follows: Based on the steady-state imbalance nodes, a node index model is constructed using the sliding window method to determine whether the distribution of steady-state imbalance nodes in the traceability path appears continuously; Specifically, the node index model is constructed as follows: A1. According to the order of each traceability node in the traceability path, each traceability node in the traceability node set is numbered in sequence, and the traceability nodes in the traceability node set are reordered according to the order of the numbers to construct a sorted traceability node set; A2. Obtain the order of the steady-state imbalance nodes in the sorted traceability node set, use the sliding window method to determine the continuous steady-state imbalance nodes, and construct the continuous node set Zs; A3, repeat step A2 until the sliding window moves to the end tracing node of the tracing path; The number of continuous steady-state imbalance nodes in the continuous node subset is obtained, and the number of continuous steady-state imbalance nodes in the continuous node set Zs is summed and averaged to obtain a continuous instability value; The number of traceable nodes in the traceable node set is obtained, and the continuous instability value is ratioed with the number of traceable nodes in the traceable node set to obtain a continuous instability ratio, which is marked as Lw.

6. The steel structure production management and traceability system based on electronic tags according to claim 4 is characterized by: The interval mean ratio Jgz is obtained as follows: Get the number of traceable nodes between each continuous node subset in the continuous node set Zs, and get the interval node value; All interval node values ​​in the continuous node set Zs are summed and averaged to obtain the interval node mean; The mean of the interval nodes is compared with the number of traceable nodes in the traceable node set to obtain the interval mean ratio, which is marked as Jgz.

7. The steel structure production management and traceability system based on electronic tags according to claim 1 is characterized by: The method for obtaining the high-risk imbalance node is as follows: Analyze the correlation between the node steady-state sequence and the defective node sequence, and obtain the mutual information value of the node analysis table through the mutual information formula; If the mutual information value is higher than the mutual information discrimination value, then the node steady-state sequence is associated with the defective node sequence; If there is a correlation between the node steady-state sequence or the defective node sequence, the traceability node with the random variable Z of 1 in the node analysis table is selected and marked as a high-risk imbalance node.

8. The steel structure production management and traceability system based on electronic tags according to claim 7 is characterized by: The mutual information value is obtained in the following manner: The node steady-state sequence is taken as the random variable X, the defect node sequence is taken as the random variable Y, the number overlap value is taken as the random variable Z, and a node analysis table is constructed; The mutual information value of the node analysis table is obtained through the mutual information formula.

9. The steel structure production management and traceability system based on electronic tags according to claim 8 is characterized by: The node steady-state sequence is constructed as follows: Based on the instability analysis signal, the steady-state value of each traceability node in the traceability node set is obtained, the steady-state value of the traceability node is subjected to difference processing with the steady-state threshold, and the obtained result is subjected to ratio processing with the steady-state threshold to obtain the instability over-limit ratio; According to the order of instability over-bound ratio from large to small, the traceability nodes are sorted to construct a node steady-state sequence; The defect node sequence is constructed as follows: Obtain the number of defective steel structure products produced by each traceability node in the traceability path, as well as the number of steel structure products generated by each traceability node, and perform ratio processing on the number of defective steel structure products and the number of steel structure products to obtain the production defect ratio; Obtain the generation defect ratio of all traceability nodes in the traceability path, sort all traceability nodes in descending order of generation defect ratio, and construct a defect node sequence.

10. The steel structure production management and traceability system based on electronic tags according to claim 1 is characterized by: The node maintenance value is obtained in the following way: From the historical maintenance data, obtain the number of times a high-risk imbalance node becomes a high-risk imbalance node again or a traceable blank node after maintenance, and perform dedimensionalization to obtain the maintenance inefficiency value; The high-risk imbalance ratio is multiplied by the maintenance inefficiency value to obtain the node maintenance value; The method for determining whether a high-risk imbalance node is no longer a high-risk imbalance node or a blank node is traced back is as follows: Obtain the average of the node maintenance values ​​of all high-risk imbalance nodes to obtain the node maintenance mean; If the node maintenance value of a high-risk imbalance node is lower than the node maintenance average, the high-risk imbalance node will be maintained more effectively so that the high-risk imbalance node will no longer become a high-risk imbalance node or a traceable blank node.

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