Distribution processing method and device for field first-aid materials
By obtaining and preprocessing material demand and inventory information, and establishing and implementing the demand inventory matching model, the optimization matching problem of field first aid material allocation is solved, and efficient allocation of materials and cost reduction is achieved.
Patent Information
- Application Number
- CN202510191528.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-20
- Publication Date
- 2025-06-10
AI Technical Summary
How to optimize the allocation of first aid materials in a wild environment, meet the matching needs of various material needs, warehousing resources and supply chain resources, and ensure the smooth progress of various field operations.
By obtaining the material demand information set and the material inventory information set, pre-processing and pattern matching processing are performed, a demand inventory matching model is established, the first and second matching processing is performed, and the matching vector is fused to determine the serial number value of the material to be sent.
It has achieved efficient and rapid distribution of field first aid materials, reduced the cost of material flow, and ensured the smooth progress of various types of guarantee operations.
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Figure CN120125142A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the fields of logistics and data processing, and particularly relates to a method and device for allocating and processing first-aid supplies in the wild. Background Art
[0002] In the wild environment, the storage and supply capabilities of supplies are limited. At the same time, for the material needs in professional fields such as medical treatment, epidemic prevention, and electric power, the wild material needs show characteristics of time variation and diversification, and the storage needs and supply chain needs of different types of materials are different. Warehousing plays a crucial role in the logistics system and is the focus of current research and planning in the logistics field. Inventory cost is one of the main supply chain costs. Efficient and reasonable warehousing can help speed up the flow of supplies, reduce costs, ensure the smooth progress of various types of support operations, and can achieve effective control and management of resources.
[0003] How to optimize the matching of various material needs, warehousing resources, and supply chain resources according to the needs of first-aid supply distribution in the wild environment, so as to meet the requirements of first-aid supply distribution in the wild environment and ensure the smooth progress of various wild operations, is an urgent problem to be solved currently. Summary of the Invention
[0004] The present invention mainly solves the problem of how to optimize the matching of various material needs, warehousing resources, and supply chain resources according to the needs of first-aid supply distribution in the wild environment, and discloses a method and device for allocating and processing first-aid supplies in the wild.
[0005] In the first aspect of the embodiment of the present invention, a method for allocating and processing first-aid supplies in the wild is disclosed, including:
[0006] S1, obtaining a set of material demand information and a set of material inventory information; the set of material demand information includes material demand information; the material demand information includes the name of the demand location and the urgency value of the demand at each material capacity index of the demand location; the set of material inventory information includes material inventory information; the material inventory information includes the serial number value of a stocked material and the value of the material at each material capacity index.
[0007] S2, preprocessing the set of material demand information and the set of material inventory information to obtain a preprocessed set of material demand information and a preprocessed set of material inventory information;
[0008] S3, performing demand-inventory matching processing on the preprocessed set of material demand information and the preprocessed set of material inventory information to obtain the serial number value of the material to be sent;
[0009] Preprocessing the material demand information set and the material inventory information set to obtain the preprocessed material demand information set and the material inventory information set, including:
[0010] Performing boundary check processing on the material demand information set and the material inventory information set to obtain a first information set;
[0011] Performing time alignment processing on the first information set to obtain a second information set;
[0012] Performing pattern matching processing on the second information set to obtain the preprocessed material demand information set and the material inventory information set.
[0013] The pattern matching processing on the second data set to obtain the preprocessed material demand information set and the material inventory information set includes:
[0014] S231. For each type of data in the second data set, using the sequence of the type of data as a row vector, constructing an approximation matrix by using the data sequences of all types; constructing a collection matrix based on the data collection information of each type of data; the row vector of the collection matrix is the data collection information of one type of data; taking the approximation matrix as the dependent variable and the collection matrix as the independent variable to construct a pattern matching model;
[0015] S232. Solving the pattern matching model to obtain a matching model; the expression of the matching model is f(x)=xA, where x is the input collection matrix of the matching model, and the matrix A is obtained by solving the pattern matching model;
[0016] S233. Using the matching model to perform calculation processing on the data collection information of all types of data to obtain a solution matrix;
[0017] S234. For each data in the solution matrix, subtracting and taking the absolute value of the corresponding data in the same row and column as the data in the solution matrix in the approximation matrix to obtain the difference value of the data;
[0018] S235. Deleting the data with the difference value greater than the set difference threshold from the second data set;
[0019] S236. Performing S231 to S235 on all types of data sets in the second data set to obtain the preprocessed material demand information set and the material inventory information set.
[0020] The pattern matching model, its expression is:
[0021] min|vA - R|,
[0022] subject to AA T = I A ,
[0023] where I A represents the identity matrix with the row dimension of matrix A, matrix A represents the matrix to be solved, v represents the acquisition matrix, and R represents the approximation matrix.
[0024] The demand-inventory matching process for the preprocessed material demand information set and material inventory information set to obtain the serial number value of the material to be sent includes:
[0025] Express the demand urgency value of each demand location on each material capacity index as the demand vector of the demand location;
[0026] Express the values of all materials in the material inventory information set on each material capacity index as the material supply matrix; the row vector of the material supply matrix is the value of a material on each material capacity index; the serial number of the row vector of the material supply matrix is consistent with the serial number value of the stocked material;
[0027] Perform the first matching process on the demand vector and the material supply matrix to obtain the first matching vector;
[0028] Perform the second matching process on the demand vector and the material supply matrix to obtain the second matching vector;
[0029] Perform a fusion calculation on the first matching vector and the second matching vector to obtain a fusion matching vector;
[0030] Determine the serial number of the element with the smallest value in the fusion matching vector as the serial number value of the material to be sent at the demand location.
[0031] The expression of the first matching process is:
[0032]
[0033] where c i is the i-th item of the first matching vector, N is the column dimension of the material supply matrix, x ij is the element in the i-th row and j-th column of the material supply matrix, y j is the j-th element of the demand vector, and x i is the mean value of the elements in the i-th row of the material supply matrix.
[0034] The expression of the second matching process is:
[0035]
[0036] where Ti () represents the i-th order polynomial of the first kind of Chebyshev polynomial, e i represents the i-th term of the second matching vector.
[0037] In the second aspect of the implementation of the present invention, a distribution processing device for field first aid supplies is disclosed. The device includes:
[0038] A memory storing executable program code;
[0039] A processor coupled to the memory;
[0040] The processor calls the executable program code stored in the memory and executes the above-mentioned distribution processing method for field first aid supplies.
[0041] In the third aspect of the implementation of the present invention, a computer-readable storage medium is disclosed. The computer-readable storage medium stores computer instructions, which are used to execute the above-mentioned distribution processing method for field first aid supplies when called by a computer.
[0042] In the fourth aspect of the implementation of the present invention, an information data processing terminal is disclosed. The information data processing terminal is used to implement the above-mentioned distribution processing method for field first aid supplies.
[0043] The beneficial effects of the present invention are as follows:
[0044] The present invention optimizes the matching of various supplies and supply chain requirements, achieves the goal of accelerating the flow rate of supplies and reducing costs, and ensures the smooth progress of various types of support operations.
[0045] Before resource matching, the present invention effectively suppresses the influence of various noise interferences in the data acquisition process by preprocessing the information set, ensuring the accuracy of the acquired data.
[0046] For the resource matching process, the present invention represents demand information with vectors and first aid supply resources with matrices, establishes a mathematical model for the first matching process and the second matching process, extracts the matching degree of demand information and supply information from two dimensions, and finally obtains the distribution processing result of field first aid supplies through fusion processing of the matching information, realizing the efficient and rapid distribution of field first aid supplies. BRIEF DESCRIPTION OF THE DRAWINGS
[0047] Figure 1 is a flowchart of the implementation of the method of the present invention. DETAILED DESCRIPTION OF THE INVENTION
[0048] To better understand the content of the present invention, an embodiment is given here.
[0049] Figure 1This is the implementation flowchart of the method of the present invention.
[0050] In the first aspect of the embodiments of the present invention, a method for distributing and processing field first-aid supplies is disclosed, including:
[0051] S1. Obtain a set of material demand information and a set of material inventory information; the set of material demand information includes material demand information; the material demand information includes the name of the demand location and the urgency value of the demand at each material capacity index of the demand location; the set of material inventory information includes material inventory information; the material inventory information includes the serial number value of the stocked materials and the values of the materials at each material capacity index.
[0052] S2. Preprocess the set of material demand information and the set of material inventory information to obtain a preprocessed set of material demand information and a preprocessed set of material inventory information.
[0053] S3. Perform demand-inventory matching processing on the preprocessed set of material demand information and the preprocessed set of material inventory information to obtain the serial number value of the materials to be sent.
[0054] The preprocessing of the set of material demand information and the set of material inventory information to obtain a preprocessed set of material demand information and a preprocessed set of material inventory information includes:
[0055] Perform boundary check processing on the set of material demand information and the set of material inventory information to obtain a first set of information.
[0056] Perform time alignment processing on the first set of information to obtain a second set of information.
[0057] Perform pattern matching processing on the second set of information to obtain a preprocessed set of material demand information and a preprocessed set of material inventory information.
[0058] The pattern matching processing of the second data set to obtain a preprocessed set of material demand information and a preprocessed set of material inventory information includes:
[0059] S231. For each type of data in the second data set, use the sequence of the type of data as a row vector, and construct an approximation matrix by using the data sequences of all types; construct a collection matrix based on the data collection information of each type of data; the row vector of the collection matrix is the data collection information of a type of data; construct a pattern matching model with the approximation matrix as the dependent variable and the collection matrix as the independent variable.
[0060] S232. Solve the pattern matching model to obtain a matching model; the expression of the matching model is f(x) = xA, where x is the acquisition matrix input to the matching model, and the matrix A is obtained by solving the pattern matching model.
[0061] S233. Use the matching model to perform calculation processing on the data acquisition information of all types of data to obtain a solution matrix.
[0062] S234. For each data in the solution matrix, subtract and take the absolute value of the corresponding data in the same row and column of the approximation matrix as the data in the solution matrix to obtain the difference value of the data.
[0063] S235. Delete the data with the difference value greater than the set difference threshold from the second data set.
[0064] S236. For all types of data sets in the second data set, execute S231 to S235 to obtain a preprocessed set of material demand information and a set of material inventory information.
[0065] The pattern matching model has the following expression:
[0066] min|vA - R|,
[0067] subject to AA T = I A ,
[0068] where I A represents the identity matrix with the row dimension of matrix A as the dimension, matrix A represents the matrix to be solved, v represents the acquisition matrix, and R represents the approximation matrix.
[0069] The demand - inventory matching process for the preprocessed set of material demand information and the set of material inventory information to obtain the serial number value of the materials to be sent includes:
[0070] S31. Represent the demand urgency value of each demand location on each material capacity index as the demand vector of the demand location.
[0071] S32. Represent the values of all materials in the material inventory information set on each material capacity index as a material supply matrix; the row vector of the material supply matrix is the value of a material on each material capacity index; the serial number of the row vector of the material supply matrix is consistent with the serial number value of the stocked materials.
[0072] S33. Perform a first matching process on the demand vector and the material supply matrix to obtain a first matching vector.
[0073] S34. Perform a second matching process on the demand vector and the material supply matrix to obtain a second matching vector;
[0074] S35. Perform a fusion calculation on the first matching vector and the second matching vector to obtain a fusion matching vector;
[0075] S36. Determine the serial number of the element with the smallest value in the fusion matching vector as the serial number value of the material to be sent at the demand location;
[0076] S37. Perform the operations of S31 to S36 on the urgency values of each demand location in each material capacity index to obtain the serial number value of the material to be sent at each demand location;
[0077] After obtaining the serial number value of the material to be sent at each demand location, delete the values of each material capacity index of the material to be sent from the material inventory information set.
[0078] The expression of the first matching process is:
[0079]
[0080] where c i is the i-th item of the first matching vector, N is the column dimension of the material supply matrix, x ij is the element in the i-th row and j-th column of the material supply matrix, y j is the j-th element of the demand vector, is the mean value of the elements in the i-th row of the material supply matrix;
[0081] The expression of the second matching process is:
[0082]
[0083] where T i () represents the i-th order polynomial of the first kind of Chebyshev polynomial, e i represents the i-th item of the second matching vector.
[0084] The expression of the fusion calculation process is:
[0085]
[0086] where p i is the i-th element of the fusion matching vector.
[0087] The expression of the second matching process is:
[0088] W ij =(x i -y j )(xi -y j ) T ,
[0089] W -1 Xv = λv,
[0090] Y = XV,
[0091] wherein, W -1 Xv = λv represents solving a generalized eigenvalue operation, W represents a first normalization matrix, v represents an eigenvector obtained by solving the generalized eigenvalue operation, and λ represents an eigenvalue obtained by solving the generalized eigenvalue operation; x i represents the i-th row vector of the material supply matrix; W ij represents the element in the i-th row and j-th column of the first normalization matrix, V represents an eigenvalue vector, Y represents a second matching vector, and X represents a material supply matrix.
[0092] The solution algorithm of the pattern matching model can adopt a genetic algorithm and a particle filter algorithm;
[0093] The data acquisition information includes time information, spatial information, or capability type information corresponding to the data acquisition;
[0094] The boundary check processing is to judge whether the value of each type of data in the dataset is within the value range of that type of data, and delete the data whose value is not within the value range from the dataset.
[0095] The time alignment processing is to unify different types of data to the same time base; the time alignment processing can adopt interpolation / extrapolation method, Lagrange three-point interpolation method, etc.;
[0096] The material capability index can be weight, volume, applicable symptoms, working time, scene adaptability value; the specific material capability index is determined by the material type in a specific scene.
[0097] The element of the demand vector is a quantified value of the demand for a material capability index;
[0098] In the second aspect of the present invention, a distribution processing device for first-aid materials in the wild is disclosed, and the device includes:
[0099] A memory storing executable program code;
[0100] A processor coupled to the memory;
[0101] The processor calls the executable program code stored in the memory to execute the distribution processing method of the first-aid materials in the wild.
[0102] In a third aspect of the embodiments of the present invention, a computer-readable storage medium is disclosed. The computer-readable storage medium stores computer instructions, which are used to execute the method for allocating and processing first-aid supplies in the wild when called by a computer.
[0103] In a fourth aspect of the embodiments of the present invention, an information data processing terminal is disclosed. The information data processing terminal is used to implement the method for allocating and processing first-aid supplies in the wild.
[0104] The above are only the embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, various changes and modifications can be made to the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the scope of the claims of the present invention.
Claims
1. A method for distributing and processing field emergency supplies, characterized in that: include: S1, obtaining a material demand information set and a material inventory information set; the material demand information set includes material demand information; The material demand information includes the name of the demand location and the demand urgency value of the demand location on each material capacity indicator; the material inventory information set includes material inventory information; the material inventory information includes the serial number value of a stocked material and the value of the material on each material capacity indicator; S2, preprocessing the material demand information set and the material inventory information set to obtain a preprocessed material demand information set and a material inventory information set; S3, performing demand-inventory matching processing on the preprocessed material demand information set and material inventory information set to obtain the serial number value of the material to be sent.
2. The method for distributing and processing field emergency supplies according to claim 1, characterized in that: The preprocessing of the material demand information set and the material inventory information set to obtain the preprocessed material demand information set and the material inventory information set includes: Performing boundary check processing on the material demand information set and the material inventory information set to obtain a first information set; Performing time alignment processing on the first information set to obtain a second information set; The second information set is subjected to pattern matching processing to obtain a preprocessed material demand information set and a material inventory information set.
3. The method for distributing and processing field emergency supplies according to claim 2, characterized in that: The performing pattern matching processing on the second data set to obtain a preprocessed material demand information set and a material inventory information set includes: S231, for each type of data in the second data set, using the sequence of the type of data as a row vector, using all types of data sequences to construct an approximation matrix; using the data collection information of each type of data, constructing a collection matrix; the row vector of the collection matrix is the data collection information of one type of data; using the approximation matrix as a dependent variable and the collection matrix as an independent variable, constructing a pattern matching model; S232, solving the pattern matching model to obtain a matching model; the expression of the matching model is f(x)=xA, x is the acquisition matrix of the input of the matching model, and the matrix A is obtained by solving the pattern matching model; S233, using the matching model, calculating and processing the data collection information of all types of data to obtain a solution matrix; S234, subtracting each data in the solution matrix from the data in the approximation matrix corresponding to the same row and column as the data in the solution matrix, and calculating the absolute value to obtain a difference value of the data; S235, deleting the data whose difference value is greater than a set difference threshold from the second data set; S236, executing S231 to S235 for all types of data sets in the second data set to obtain a pre-processed material demand information set and a material inventory information set.
4. The method for distributing and processing field emergency supplies according to claim 3, characterized in that: The pattern matching model is expressed as follows: min|vA-R|, subject to AA T =I A , Among them, I A represents the identity matrix with the row dimension of matrix A as its dimension, matrix A represents the matrix to be solved, v represents the acquisition matrix, and R represents the approximation matrix.
5. The method for distributing and processing field emergency supplies according to claim 4, characterized in that: The performing demand-inventory matching processing on the preprocessed material demand information set and the material inventory information set to obtain the sequence number value of the material to be sent includes: The demand urgency value of each demand location on each material capacity indicator is expressed as a demand vector of the demand location; The values of all materials in the material inventory information set on each material capacity index are expressed as a material supply matrix; the row vector of the material supply matrix is the value of a material on each material capacity index; the serial number of the row vector of the material supply matrix is consistent with the serial number value of the inventory material; Performing a first matching process on the demand vector and the material supply matrix to obtain a first matching vector; Performing a second matching process on the demand vector and the material supply matrix to obtain a second matching vector; Performing a fusion calculation on the first matching vector and the second matching vector to obtain a fused matching vector; The sequence number of the element with the smallest value in the fused matching vector is determined as the sequence number value of the materials to be sent to the demand location.
6. The method for distributing and processing field emergency supplies according to claim 5, characterized in that: The expression of the first matching process is: Among them, c i is the i-th item of the first matching vector, N is the column dimension of the material supply matrix, x ij is the element in the i-th row and j-th column of the material supply matrix, y j is the jth element of the demand vector, is the mean of the elements in the i-th row of the material supply matrix.
7. The method for distributing and processing field emergency supplies according to claim 6, characterized in that: The expression of the second matching process is: Among them, T i () represents the i-th order polynomial of the first kind Chebyshev polynomial, e i represents the i-th item of the second matching vector.
8. A distribution and processing device for field emergency supplies, characterized in that: The device comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the method for distributing and processing field emergency supplies according to any one of claims 1 to 7.
9. A computer storable medium, characterized in that: The computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the method for distributing and processing field emergency supplies as described in any one of claims 1 to 7.
10. An information data processing terminal, characterized in that: The information data processing terminal is used to implement the method for distributing and processing field emergency supplies as described in any one of claims 1 to 7.
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