Storage processing method and device for warehouse materials

Abstract

The invention discloses a storage processing method and device for warehouse materials. The method comprises the following steps: acquiring a storage demand information set and a material resource description information set; preprocessing the storage demand information set and the material resource description information set to obtain a preprocessed storage demand information set and a preprocessed material resource description information set; performing warehouse matching processing on the preprocessed warehouse demand information set and the preprocessed material resource description information set to obtain a warehouse storage information set; the warehouse storage information set comprises warehouse storage information. According to the method, optimization matching is carried out on various materials and supply chain demands, the purposes of increasing the material flowing speed and reducing the cost are achieved, and smooth proceeding of various types of guarantee work is guaranteed.

Description

Technical Field

[0001] The present invention relates to the fields of logistics and information processing, and in particular to a storage and processing method and device for warehouse materials. Background Art

[0002] Warehousing is the inventory control center in logistics and supply chain, an important part of modern logistics, plays a vital role in the logistics system, and is the focus of current research and planning in the field of logistics. Inventory cost is one of the main supply chain costs. Efficient and reasonable warehousing can help speed up the flow of materials, reduce costs, ensure the smooth progress of various types of support operations, and achieve effective control and management of resources.

[0003] For material storage in professional fields, such as electricity and epidemic prevention, the materials in their warehouses are diversified. The storage and supply chain demands of different types of materials are different. How to optimize the matching of various types of materials and supply chain demands to speed up the flow of materials, reduce costs, and ensure the smooth progress of various types of support operations is an issue that needs to be urgently addressed. Summary of the invention

[0004] The present invention mainly solves the problem of how to optimize the matching of various types of materials and supply chain needs to speed up the flow of materials, reduce costs, and ensure the smooth progress of various types of support operations. The present invention discloses a storage and processing method and device for warehouse materials.

[0005] In a first aspect of the embodiment of the present application, a storage and processing method for warehouse materials is disclosed, comprising:

[0006] S1, obtaining a storage demand information set and a material resource description information set; the storage demand information set includes storage demand information; the material resource description information set includes material resource description information; the storage demand information includes warehouse name, warehouse number, warehouse belonging area, required material name, material index description information of warehouse demand, strong constraint condition, weak constraint condition; the material resource description information includes name, serial number, size, weight, index information sequence;

[0007] S2, preprocessing the storage demand information set and the material resource description information set to obtain a preprocessed storage demand information set and a material resource description information set;

[0008] S3, performing warehousing matching processing on the preprocessed warehousing demand information set and the material resource description information set to obtain a warehousing storage information set; the warehousing storage information set includes warehousing storage information.

[0009] The preprocessing of the storage demand information set and the material resource description information set to obtain the preprocessed storage demand information set and the material resource description information set includes:

[0010] S21, performing boundary check processing on the storage demand information set and the material resource description information set respectively, to obtain the storage demand information set and the material resource description information set after boundary check;

[0011] S22, performing data cleaning processing on the storage demand information set and the material resource description information set after the boundary check respectively, to obtain a pre-processed storage demand information set and a material resource description information set.

[0012] The step of performing boundary check processing on the storage demand information set and the material resource description information set respectively to obtain the storage demand information set and the material resource description information set after boundary check includes:

[0013] S221, for each type of data attribute of the information set, using the data collection information of the data as an independent variable and the data value of the data as a dependent variable, perform autoregression-sliding average modeling to obtain a regression model of the data attribute of each type;

[0014] Using the regression model, the independent variable is calculated to obtain regression data values;

[0015] Determine whether the absolute value of the difference between the regression data value and the corresponding dependent variable value is greater than a set first regression discrimination threshold; if it is greater than the first regression discrimination threshold, delete the data from the information set; if it is less than or equal to the first regression discrimination threshold, do not process the data;

[0016] S222, performing fusion processing on all data of the information set after executing S221, to obtain an information set after boundary check.

[0017] The performing of warehousing matching processing on the preprocessed warehousing demand information set and the material resource description information set to obtain a warehousing storage information set includes:

[0018] S31, screening the preprocessed storage demand information set and material resource description information set to obtain a candidate material resource description information set;

[0019] S32, performing matching and solving processing on the candidate material resource description information set and the pre-processed storage demand information set to obtain a storage storage information set.

[0020] The pre-processed storage demand information set and material resource description information set are screened to obtain a candidate material resource description information set, including:

[0021] The initialization judgment sequence number value is 1; confirming that the initialized candidate material resource description information set is a material resource description information set;

[0022] Confirm that the warehouse number in the storage demand information set is the storage demand information with the judgment sequence value, which is the storage demand information to be processed;

[0023] For each material resource description information in the candidate material resource description information set, determine whether its name contains the name of the required material of the storage demand information to be processed, and obtain a first determination result; for the material resource description information for which the first determination result is negative, delete it from the candidate material resource description information set;

[0024] For each material resource description information in the candidate material resource description information set, determine whether its indicator information sequence contains the material indicator description information of the warehouse demand of the storage demand information to be processed, and obtain a second determination result; for the material resource description information for which the second determination result is negative, delete it from the candidate material resource description information set;

[0025] For each material resource description information in the candidate material resource description information set, determine whether it satisfies the weak constraint condition of the storage demand information to be processed, and obtain a third determination result; for the material resource description information for which the third determination result is negative, delete it from the candidate material resource description information set;

[0026] Perform boundary calculation processing on each material resource description information in the candidate material resource description information set and the boundary range of each constraint item of the strong constraint condition of the storage demand information to be processed to obtain the boundary distance value of the material resource description information;

[0027] For each material resource description information in the candidate material resource description information set, determine whether the boundary distance value is greater than a preset distance threshold value to obtain a fourth determination result; for the material resource description information for which the fourth determination result is negative, delete the material resource description information from the candidate material resource description information set;

[0028] Increasing the judgment sequence number value by 1;

[0029] Determine whether the judgment sequence number value is greater than the number of storage demand information in the storage demand information set to obtain a fifth judgment result; when the fifth judgment result is no, trigger the execution to confirm that the storage demand information with the warehouse number in the storage demand information set as the judgment sequence number value is the storage demand information to be processed; when the fifth judgment result is yes, obtain a candidate material resource description information set.

[0030] The boundary calculation process, its calculation expression is:

[0031]

[0032] Among them, ds represents the calculated boundary distance value, a i represents the value of the corresponding indicator of the i-th constraint item of the strong constraint condition in the indicator information sequence of the material resource description information, li i and la i They respectively represent the lower bound and upper bound of the value of the ith constraint item of the strong constraint condition, and N1 is the number of constraint items of the strong constraint condition.

[0033] The matching and solving process of the candidate material resource description information set and the preprocessed storage demand information set is performed to obtain the storage storage information set, including:

[0034] The preprocessed storage demand information is represented as a matrix A; the element A in the i-th row and j-th column of the matrix A ij , represents the demand urgency value of the jth indicator type for the i-th warehouse; the demand urgency value of each indicator type is determined according to the average of the lower bound and upper bound of the corresponding constraint item in the strong constraint condition;

[0035] The candidate material resource description information set is represented as a matrix B; the i-th row vector of the matrix B represents the index information sequence of the i-th candidate material;

[0036] Initialize the warehouse storage vector; the i-th element Ti of the warehouse storage vector T represents the serial number of the materials stored in the i-th warehouse;

[0037] Establish a warehouse storage optimization model, and its expression is:

[0038]

[0039] Ti≠0,i=1,2,…,N,

[0040] Where N is the number of warehouses, B Ti,j represents the element of the Ti-th row and j-th column of the matrix B, T0 is the preset allocation threshold, and the storage vector T is the vector to be solved;

[0041] The warehouse storage optimization model is solved to obtain warehouse storage result information.

[0042] In a second aspect of an embodiment of the present invention, a storage and processing device for warehouse materials is disclosed, the device comprising:

[0043] A memory storing executable program code;

[0044] a processor coupled to the memory;

[0045] The processor calls the executable program code stored in the memory to execute the storage processing method of warehouse materials.

[0046] According to a third aspect of an embodiment of the present invention, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the storage and processing method of warehouse materials.

[0047] According to 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 storage and processing method of warehouse materials.

[0048] The beneficial effects of the present invention are:

[0049] The present invention optimizes the matching of various types of materials and supply chain requirements, achieves the goal of accelerating the flow of materials, reducing costs, and ensuring the smooth progress of various types of support operations.

[0050] The present invention effectively suppresses the influence of various noise interferences in the data collection process by performing boundary check processing on the information set before performing resource matching, thereby ensuring the accuracy of the acquired data.

[0051] After acquiring the warehousing demand information set and the material resource description information, the present invention first screens the warehousing demand information set and the material resource description information set to obtain a candidate material resource description information set, thereby reducing the number of materials to be matched and greatly reducing the complexity of the subsequent warehousing matching process; at the same time, in the screening process, by using various demand information to screen the materials, effective candidate materials are retained to the greatest extent.

[0052] The present invention establishes a warehousing storage optimization model, performs matching and solving processing on a candidate material resource description information set and a preprocessed warehousing demand information set, thereby improving the matching accuracy and obtaining an effective and accurate warehousing storage information set. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a flow chart for implementing the method of the present invention. DETAILED DESCRIPTION

[0054] In order to better understand the content of the present invention, an embodiment is given here.

[0055] Figure 1 It is a flow chart for implementing the method of the present invention.

[0056] In a first aspect of the embodiment of the present application, a storage and processing method for warehouse materials is disclosed, comprising:

[0057] S1, obtaining a storage demand information set and a material resource description information set; the storage demand information set includes storage demand information; the material resource description information set includes material resource description information; the storage demand information includes warehouse name, warehouse number, warehouse belonging area, required material name, material index description information of warehouse demand, strong constraint condition, weak constraint condition; the material resource description information includes name, serial number, size, weight, index information sequence;

[0058] S2, preprocessing the storage demand information set and the material resource description information set to obtain a preprocessed storage demand information set and a material resource description information set;

[0059] S3, performing storage matching processing on the preprocessed storage demand information set and material resource description information set to obtain a storage storage information set; the storage storage information set includes storage storage information; the storage storage information is used to represent the materials stored in each warehouse;

[0060] The storage demand information set and the material resource description information set can be obtained by searching a database, or by collecting the storage demand information set through sensors installed in the workplace; the material resource description information set can be obtained by digitally converting the material resource information. The digital conversion can be achieved by a scanner and digital text recognition software.

[0061] The preprocessing of the storage demand information set and the material resource description information set to obtain the preprocessed storage demand information set and the material resource description information set includes:

[0062] S21, performing boundary check processing on the storage demand information set and the material resource description information set respectively, to obtain the storage demand information set and the material resource description information set after boundary check;

[0063] S22, performing data cleaning processing on the storage demand information set and the material resource description information set after the boundary check, respectively, to obtain a pre-processed storage demand information set and a material resource description information set;

[0064] The step of performing boundary check processing on the storage demand information set and the material resource description information set respectively to obtain the storage demand information set and the material resource description information set after boundary check includes:

[0065] S221, for each type of data attribute of the information set, the data collection information of the data is used as the independent variable, and the data value of the data is used as the dependent variable, and autoregression-sliding average modeling is performed to obtain the regression model of the data attribute of the class; using the regression model, the independent variable is calculated and processed to obtain the regression data value; it is determined whether the absolute value of the difference between the regression data value and the corresponding dependent variable value is greater than the set first regression discrimination threshold; if it is greater than the first regression discrimination threshold, the data is deleted from the information set; if it is less than or equal to the first regression discrimination threshold, the data is not processed;

[0066] S222, performing fusion processing on all data of the information set after executing S221 to obtain an information set after boundary check;

[0067] The information set is a storage demand information set or a material resource description information set;

[0068] The autoregressive-moving average modeling can be implemented using the ARMA method.

[0069] The data cleaning process includes filling missing values, smoothing noise data, and smoothing or deleting outliers; the smoothed noise data is obtained by first determining the noise data, and then smoothing the noise data according to the data before and after the noise data; the noise data is a value whose value is less than the detection sensitivity of the sensor of the observed data, or greater than the measurement upper limit of the sensor of the observed data. The outlier point can be determined by the Kalman filter method. The filling value of the missing value can be determined by averaging the measured values ​​within a certain sampling interval before and after the missing value.

[0070] The performing of warehousing matching processing on the preprocessed warehousing demand information set and the material resource description information set to obtain a warehousing storage information set includes:

[0071] S31, screening the preprocessed storage demand information set and material resource description information set to obtain a candidate material resource description information set;

[0072] S32, performing matching and solving processing on the candidate material resource description information set and the preprocessed storage demand information set to obtain a storage storage information set;

[0073] The pre-processed storage demand information set and material resource description information set are screened to obtain a candidate material resource description information set, including:

[0074] The initialization judgment sequence number value is 1; confirming that the initialized candidate material resource description information set is a material resource description information set;

[0075] Confirm that the warehouse number in the storage demand information set is the storage demand information with the judgment sequence value, which is the storage demand information to be processed;

[0076] For each material resource description information in the candidate material resource description information set, determine whether its name contains the name of the required material of the storage demand information to be processed, and obtain a first determination result; for the material resource description information for which the first determination result is negative, delete it from the candidate material resource description information set;

[0077] For each material resource description information in the candidate material resource description information set, determine whether its indicator information sequence contains the material indicator description information of the warehouse demand of the storage demand information to be processed, and obtain a second determination result; for the material resource description information for which the second determination result is negative, delete it from the candidate material resource description information set;

[0078] For each material resource description information in the candidate material resource description information set, determine whether it satisfies the weak constraint condition of the storage demand information to be processed, and obtain a third determination result; for the material resource description information for which the third determination result is negative, delete it from the candidate material resource description information set;

[0079] Perform boundary calculation processing on each material resource description information in the candidate material resource description information set and the boundary range of each constraint item of the strong constraint condition of the storage demand information to be processed to obtain the boundary distance value of the material resource description information;

[0080] For each material resource description information in the candidate material resource description information set, determine whether the boundary distance value is greater than a preset distance threshold value to obtain a fourth determination result; for the material resource description information for which the fourth determination result is negative, delete the material resource description information from the candidate material resource description information set;

[0081] Increasing the judgment sequence number value by 1;

[0082] Determine whether the judgment sequence number value is greater than the number of storage demand information in the storage demand information set to obtain a fifth judgment result; when the fifth judgment result is no, trigger execution to confirm that the storage demand information whose warehouse number in the storage demand information set is the judgment sequence number value is the storage demand information to be processed; when the fifth judgment result is yes, obtain a candidate material resource description information set;

[0083] The boundary calculation process, its calculation expression is:

[0084]

[0085] Among them, ds represents the calculated boundary distance value, a i represents the value of the corresponding indicator of the i-th constraint item of the strong constraint condition in the indicator information sequence of the material resource description information, li i and la i They respectively represent the lower bound and upper bound of the value of the ith constraint item of the strong constraint condition, and N1 is the number of constraint items of the strong constraint condition;

[0086] The number of constraint items of the strong constraint condition is the same as the number of indicators in the indicator information sequence.

[0087] The matching and solving process of the candidate material resource description information set and the preprocessed storage demand information set is performed to obtain the storage storage information set, including:

[0088] The preprocessed storage demand information is represented as a matrix A; the element A in the i-th row and j-th column of the matrix A ij , represents the urgency value of the demand for the jth indicator type in the i-th warehouse;

[0089] The demand urgency value of each indicator type is determined according to the average of the lower bound and the upper bound of the corresponding constraint item in the strong constraint condition; each constraint item in the strong constraint condition is one-to-one with the standard type.

[0090] The candidate material resource description information set is represented as a matrix B; the i-th row vector of the matrix B represents the index information sequence of the i-th candidate material;

[0091] Initialize the warehouse storage vector; the i-th element Ti of the warehouse storage vector T represents the serial number of the material stored in the i-th warehouse;

[0092] Establish a warehouse storage optimization model, and its expression is:

[0093]

[0094] Ti≠0,i=1,2,…,N,

[0095] Where N is the number of warehouses, B Ti,j Represents the element in the Ti-th row and j-th column of the matrix B, T0 is the preset allocation threshold, and the warehouse storage vector T is the vector to be solved.

[0096] The warehouse storage optimization model is solved to obtain warehouse storage result information. The warehouse storage result information is a warehouse storage vector T.

[0097] The step of performing boundary check processing on the storage demand information set and the material resource description information set respectively to obtain the storage demand information set and the material resource description information set after boundary check includes:

[0098] For each type of data attribute of the information set, the data collection information of the data is used as a known independent variable, and the data value of the data is used as a known dependent variable. The known independent variable and the known dependent variable are used to construct a curve to be approximated, and the function approximation method is used to perform curve fitting on the curve to be approximated to obtain the best consistent approximation polynomial f(Ix) of the data attribute; the best consistent approximation polynomial f(Ix) is used to calculate and process the known independent variables to obtain an approximate dependent variable; it is determined whether the absolute value of the difference between the approximate dependent variable and the corresponding known dependent variable is greater than a set second regression discrimination threshold; if it is greater than the second regression discrimination threshold, the data is deleted from the information set; if it is less than or equal to the second regression discrimination threshold, the data is not processed;

[0099] Performing fusion processing on all boundary-checked data of the information set to obtain a boundary-checked information set;

[0100] The curve fitting of the curve to be approximated by the function approximation method may be performed by using the best consistent linear approximation method. The best consistent approximation polynomial f(Ix) is expressed as:

[0101] f(Ix)=α P1 (Ix) P1 +α P1-1 (Ix) P1-1 +…+α2(Ix) 2 +α1(Ix)+α0,

[0102] Where P1 is the order of the best consistent approximation polynomial f(Ix), α0, α1, α2, …, α P1 are the coefficients of the optimal consistent approximation polynomial f(Ix);

[0103] The step of performing boundary check processing on the storage demand information set and the material resource description information set respectively to obtain the storage demand information set and the material resource description information set after boundary check includes:

[0104] S2201, for each data attribute of the information set, taking the data collection information of the data as the independent variable and the data value of the data as the dependent variable, perform cluster analysis processing to obtain clustering result information of the data attribute of the class; the clustering result information includes the cluster category to which all data of the data attribute of the class belongs;

[0105] S2202, determining the number of data included in each cluster category; setting a data volume threshold; deleting the data included in the cluster category whose data volume is less than the data volume threshold from the information set;

[0106] S2203, executing S2201 and S2202 for all data in the information set to obtain the information set after boundary checking;

[0107] The data collection information includes time information, space information or capability type information corresponding to the data collection; when performing data fitting, any of the above information can be used as an independent variable, and the corresponding data value can be used as a dependent variable.

[0108] In a second aspect of an embodiment of the present invention, a storage and processing device for warehouse materials is disclosed, the device comprising:

[0109] A memory storing executable program code;

[0110] a processor coupled to the memory;

[0111] The processor calls the executable program code stored in the memory to execute the storage processing method of warehouse materials.

[0112] According to a third aspect of an embodiment of the present invention, a computer storable medium is disclosed, wherein the computer storable medium stores computer instructions, and when the computer instructions are called by a computer, they are used to execute the storage and processing method of warehouse materials.

[0113] According to 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 storage and processing method of warehouse materials.

[0114] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A storage and processing method for warehouse materials, characterized in that: include: S1, obtaining a storage demand information set and a material resource description information set; the storage demand information set includes storage demand information; the material resource description information set includes material resource description information; the storage demand information includes warehouse name, warehouse number, warehouse belonging area, required material name, material index description information of warehouse demand, strong constraint condition, weak constraint condition; the material resource description information includes name, serial number, size, weight, index information sequence; S2, preprocessing the storage demand information set and the material resource description information set to obtain a preprocessed storage demand information set and a material resource description information set; S3, performing warehousing matching processing on the preprocessed warehousing demand information set and the material resource description information set to obtain a warehousing storage information set; the warehousing storage information set includes warehousing storage information.

2. The storage and processing method for warehouse materials according to claim 1, characterized in that: The preprocessing of the storage demand information set and the material resource description information set to obtain the preprocessed storage demand information set and the material resource description information set includes: S21, performing boundary check processing on the storage demand information set and the material resource description information set respectively, to obtain the storage demand information set and the material resource description information set after boundary check; S22, performing data cleaning processing on the storage demand information set and the material resource description information set after the boundary check respectively, to obtain a pre-processed storage demand information set and a material resource description information set.

3. The storage and processing method of warehouse materials according to claim 2, characterized in that: The step of performing boundary check processing on the storage demand information set and the material resource description information set respectively to obtain the storage demand information set and the material resource description information set after boundary check includes: S221, for each type of data attribute of the information set, using the data collection information of the data as an independent variable and the data value of the data as a dependent variable, perform autoregression-sliding average modeling to obtain a regression model of the data attribute of each type; Using the regression model, the independent variable is calculated to obtain regression data values; Determine whether the absolute value of the difference between the regression data value and the corresponding dependent variable value is greater than a set first regression discrimination threshold; if it is greater than the first regression discrimination threshold, delete the data from the information set; if it is less than or equal to the first regression discrimination threshold, do not process the data; S222, performing fusion processing on all data of the information set after executing S221, to obtain an information set after boundary check.

4. The storage and processing method for warehouse materials according to claim 2, characterized in that: The performing of warehousing matching processing on the preprocessed warehousing demand information set and the material resource description information set to obtain a warehousing storage information set includes: S31, screening the preprocessed storage demand information set and material resource description information set to obtain a candidate material resource description information set; S32, performing matching and solving processing on the candidate material resource description information set and the pre-processed storage demand information set to obtain a storage storage information set.

5. The storage and processing method for warehouse materials according to claim 4, characterized in that: The pre-processed storage demand information set and material resource description information set are screened to obtain a candidate material resource description information set, including: The initialization judgment sequence number value is 1; confirming that the initialized candidate material resource description information set is a material resource description information set; Confirm that the warehouse number in the storage demand information set is the storage demand information with the judgment sequence value, which is the storage demand information to be processed; For each material resource description information in the candidate material resource description information set, determine whether its name contains the name of the required material of the storage demand information to be processed, and obtain a first determination result; for the material resource description information for which the first determination result is negative, delete it from the candidate material resource description information set; For each material resource description information in the candidate material resource description information set, determine whether its indicator information sequence contains the material indicator description information of the warehouse demand of the storage demand information to be processed, and obtain a second determination result; for the material resource description information for which the second determination result is negative, delete it from the candidate material resource description information set; For each material resource description information in the candidate material resource description information set, determine whether it satisfies the weak constraint condition of the storage demand information to be processed, and obtain a third determination result; for the material resource description information for which the third determination result is negative, delete it from the candidate material resource description information set; Perform boundary calculation processing on each material resource description information in the candidate material resource description information set and the boundary range of each constraint item of the strong constraint condition of the storage demand information to be processed to obtain the boundary distance value of the material resource description information; For each material resource description information in the candidate material resource description information set, determine whether the boundary distance value is greater than a preset distance threshold value to obtain a fourth determination result; for the material resource description information for which the fourth determination result is negative, delete the material resource description information from the candidate material resource description information set; Increasing the judgment sequence number value by 1; Determine whether the judgment sequence number value is greater than the number of storage demand information in the storage demand information set to obtain a fifth judgment result; when the fifth judgment result is no, trigger the execution to confirm that the storage demand information with the warehouse number in the storage demand information set as the judgment sequence number value is the storage demand information to be processed; when the fifth judgment result is yes, obtain a candidate material resource description information set.

6. The storage and processing method of warehouse materials according to claim 5, characterized in that: The boundary calculation process, its calculation expression is: Among them, ds represents the calculated boundary distance value, a i represents the value of the corresponding indicator of the i-th constraint item of the strong constraint condition in the indicator information sequence of the material resource description information, li i and la i They respectively represent the lower bound and upper bound of the value of the ith constraint item of the strong constraint condition, and N1 is the number of constraint items of the strong constraint condition.

7. The storage and processing method of warehouse materials according to claim 5, characterized in that: The matching and solving process of the candidate material resource description information set and the preprocessed storage demand information set is performed to obtain the storage storage information set, including: The preprocessed storage demand information is represented as a matrix A; the element A in the i-th row and j-th column of the matrix A ij , represents the demand urgency value of the jth indicator type for the i-th warehouse; the demand urgency value of each indicator type is determined according to the average of the lower bound and upper bound of the corresponding constraint item in the strong constraint condition; The candidate material resource description information set is represented as a matrix B; the i-th row vector of the matrix B represents the index information sequence of the i-th candidate material; Initialize the warehouse storage vector; the i-th element Ti of the warehouse storage vector T represents the serial number of the materials stored in the i-th warehouse; Establish a warehouse storage optimization model, and its expression is: Where N is the number of warehouses, B Ti,j represents the element of the Ti-th row and j-th column of the matrix B, T0 is the preset allocation threshold, and the storage vector T is the vector to be solved; The warehouse storage optimization model is solved to obtain warehouse storage result information.

8. A storage and processing device for warehouse materials, 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 storage and processing method for warehouse materials 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 storage and processing method for warehouse materials 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 storage and processing method of warehouse materials as described in any one of claims 1 to 7.

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