A supervision method, system and readable storage medium for autonomous material collection behavior

Abstract

The present invention discloses a method, system and readable storage medium for supervising the autonomous use of materials, and belongs to the field of materials and warehouse management technology. The method includes: acquisition: obtaining material use application information from the demand unit; audit: auditing the material use application information and outputting an audit report; matching: matching the stored materials with the materials that need to be used according to the audit report, and sending it to the demand unit for corresponding material use according to the material matching results; monitoring: constructing an abnormal use behavior monitoring model, monitoring the use of materials, and issuing an alarm when abnormal use behavior occurs. The present invention solves the lag in material release, effectively supervises demand submission and use, has advantages in terms of effectiveness and transparency, improves the level of automation, material storage efficiency and material utilization efficiency, and realizes green warehousing.

Description

Technical Field

[0001] The present invention relates to the technical field of materials and warehouse management, and more particularly to a method, system and readable storage medium for supervising the autonomous use of materials. Background Art

[0002] Demand submission and collection lack effective oversight. Demand submission and collection provide an information-sharing mechanism for upstream and downstream supply chains and are a key measure for State Grid Material Company to achieve supply chain collaboration. However, due to the challenges of demand uncertainty and delayed material release, the existing demand submission and collection process lacks effective oversight. Furthermore, the assessment of resource release by demand units reduces their motivation to share information, hindering information sharing and supply chain collaboration.

[0003] Therefore, how to provide a supervision method, system and readable storage medium for the autonomous use of materials is an urgent problem that needs to be solved by those skilled in the art. Summary of the Invention

[0004] In view of this, the present invention provides a method, system and readable storage medium for supervising the autonomous use of materials, in order to solve the problems existing in the above-mentioned prior art.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] In one aspect, the present invention provides a method for supervising the autonomous use of materials, comprising the following steps:

[0007] Obtain: Obtain material requisition application information from the demanding unit;

[0008] Audit: Audit the material requisition application information and output an audit report;

[0009] Matching: Match the stored materials with the materials that need to be collected according to the audit report, and send them to the demanding units for corresponding material collection according to the material matching results;

[0010] Monitoring: Build a monitoring model for abnormal material collection behavior, monitor the behavior of material collection, and issue an alarm when abnormal material collection behavior occurs.

[0011] Preferably, the material requisition application information includes: the account information of the demanding unit, the total number of historical submissions by the demanding unit, the total number of materials requisitioned by the demanding unit, the requisition requirements and the requisition time.

[0012] Preferably, the review specifically includes the following steps:

[0013] authenticating the requesting unit based on the account information of the requesting unit;

[0014] Verify the demand of the demanding unit based on the total number of historical submissions and the total number of cumulative withdrawals by the demanding unit;

[0015] Determining whether the requesting unit is eligible for the application based on the results of the identity verification and the demand verification;

[0016] When the demanding unit is qualified to receive the goods, the existing storage volume is determined to be able to meet the demand based on the demand and the time of receipt;

[0017] When the existing storage volume can meet the demand for collection, an audit report will be output.

[0018] Preferably, the audit also includes outputting an audit failure report when the demanding unit does not have the qualifications to use the products or when the inventory does not meet the use requirements.

[0019] Preferably, the matching specifically includes the following steps:

[0020] Get the current material data of each warehouse;

[0021] The votes of neighboring warehouses are weighted based on the distance between each warehouse's location and the demand unit's location. The closer the warehouse is, the greater the corresponding weight.

[0022] Establish a KNN model, and match each warehouse material with the materials that need to be collected in order according to the order of the warehouse weight values ​​to obtain the matching results;

[0023] The matching results are sent to the demanding units, and the demanding units collect the corresponding materials according to the material matching results.

[0024] Preferably, the KNN model is established to match each stored material with the materials that need to be collected in sequence according to the order of the storage weight values, including:

[0025] Input the current material data of the first warehouse, and compare the characteristics of the current material data of the first warehouse with the characteristics of the materials to be collected;

[0026] If the first warehouse does not meet the requirements or only meets part of the requirements, the current material data of the second warehouse is input into the KNN model to perform material matching;

[0027] If the material data of the second warehouse does not meet the requirements, the current material data of the third warehouse is input into the KNN model to perform material matching;

[0028] If the current material data of each warehouse does not meet the requirements, the nearest warehouse will be used for supply, and the unsatisfied parts will be directly purchased for replenishment.

[0029] Preferably, the monitoring specifically includes the following steps:

[0030] Collect operational information on material collection by current demand units;

[0031] Build an abnormal requisition behavior monitoring model to calculate the similarity between the preset material requisition standards and the current demand unit's material requisition operation information;

[0032] Output abnormal usage behavior detection results based on similarity.

[0033] Preferably, the abnormal use behavior detection result includes: a detection result of no abnormal use behavior being triggered, a detection result of triggering a first-level abnormal use behavior, and a detection result of triggering a second-level abnormal use behavior. The specific steps are:

[0034] Use the percentage system to initialize the abnormal behavior of each demand unit;

[0035] When the demand unit does not trigger abnormal requisition behavior within the preset time, calculate the abnormal behavior value = A = A0-D×T g ;

[0036] When the demand unit triggers the first-level abnormal requisition behavior, calculate the abnormal behavior value = A×(1-D×T g ×40%);

[0037] When the demand unit triggers the second-level abnormal requisition behavior, calculate the abnormal behavior value = A×60%×(1-D×T g );

[0038] Where A0 is the value of the last abnormal behavior, A is the value of the current abnormal behavior, T g The current cumulative number of abnormal withdrawals, D is an incremental value assigned when abnormal withdrawal behavior occurs, where D is a constant.

[0039] In another aspect, the present invention provides a system for supervising the autonomous use of materials, including:

[0040] The acquisition module is used to obtain material requisition information from the demanding units;

[0041] An audit module, connected to the acquisition module, is used to audit the material requisition application information and output an audit report;

[0042] The matching module is connected to the audit module, matches the stored materials with the materials that need to be collected according to the audit report, and sends it to the demand unit for corresponding material collection according to the material matching results;

[0043] The monitoring module is connected to the matching module and is used to build an abnormal collection behavior monitoring model to monitor the behavior of material collection and issue an alarm when abnormal collection behavior occurs.

[0044] On the other hand, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for supervising the autonomous use of materials as described above.

[0045] It can be seen from the above technical solutions that, compared with the existing technology, the present invention discloses a method, system and readable storage medium for supervising the autonomous collection of materials. Based on the innovative autonomous collection model, it mainly includes online automatic review of collection applications related to autonomous collection of materials and supervision of abnormal collection behavior, which solves the lag in material release and effectively supervises demand submission and collection. Compared with the existing long-link hierarchical collection model, the flat autonomous collection model has advantages in effectiveness and transparency, improves the level of automation, material storage efficiency and material utilization efficiency, and realizes green warehousing. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0047] Figure 1 Schematic diagram of the method flow of the present invention;

[0048] Figure 2 Schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0049] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0050] On the one hand, see Appendix Figure 1 As shown, the embodiment of the present invention discloses a method for supervising the behavior of autonomous use of materials, including the following steps:

[0051] Obtain: Obtain material requisition application information from the demanding unit;

[0052] Audit: Audit the material requisition application information and output the audit report;

[0053] Matching: Match the stored materials with the materials that need to be collected according to the audit report, and send them to the demanding units for corresponding material collection according to the material matching results;

[0054] Monitoring: Build a monitoring model for abnormal material collection behavior, monitor the behavior of material collection, and issue an alarm when abnormal material collection behavior occurs.

[0055] In a specific embodiment, the material requisition application information includes: the account information of the demanding unit, the total number of historical submissions by the demanding unit, the total number of materials requisitioned by the demanding unit, the requisition requirements and the requisition time.

[0056] In a specific embodiment, the audit specifically includes the following steps:

[0057] Authenticate the requesting unit based on the requesting unit's account information;

[0058] Verify the demand of the demanding unit based on the total number of historical submissions and the total number of cumulative withdrawals by the demanding unit;

[0059] Determine whether the requesting unit is eligible to receive the application based on the results of identity verification and demand verification;

[0060] When the demanding unit is qualified to receive the goods, the existing storage volume is determined to be sufficient to meet the demand based on the demand and time of receipt.

[0061] When the existing storage volume can meet the demand for collection, an audit report will be output.

[0062] Specifically, based on the total number of historical submissions and the total number of applications received by the demanding units, the demand verification is carried out on the demanding units, including:

[0063] Based on historical withdrawal behavior, an account abnormality indicator system for the demand unit is established. The main indicators are shown in Table 1:

[0064] Table 1 Account abnormality indicator system of demand units

[0065] Indicator name Indicator Definition Frequency of use Number of withdrawals from the user account in the past three months Number of clicks Number of clicks on the user account in the past week Multiple logins Number of times the user account logged in from multiple locations in the past week

[0066] Specifically, when the demanding unit is eligible for use, the existing storage capacity is determined to meet the demand based on the demand and time of use, including:

[0067] Establish an indicator system for reviewing the use demand of demand units. The main indicators are shown in Table 2:

[0068] Table 2 Index system for reviewing the demand for use by demanding units

[0069]

[0070] In a specific embodiment, the audit further includes outputting an audit failure report when the requesting unit does not have the qualifications to use the goods or when the inventory does not meet the use requirements.

[0071] Specifically, the present invention verifies the user account of the demanding unit, matches the demand on the basis of ensuring that the unit has the qualifications to receive the materials, and guides the demanding unit / user account to perform standardized receipt behavior, thereby establishing a good material receipt behavior ecosystem.

[0072] Specifically, the audit failure report will point out the reasons for failure so that rectification and adjustment can be made.

[0073] In a specific embodiment, matching specifically includes the following steps:

[0074] Get the current material data of each warehouse;

[0075] The votes of neighboring warehouses are weighted based on the distance between each warehouse's location and the demand unit's location. The closer the warehouse is, the greater the corresponding weight.

[0076] Establish a KNN model, and match each warehouse material with the materials that need to be collected in order according to the order of the warehouse weight values ​​to obtain the matching results;

[0077] The matching results are sent to the demanding units, and the demanding units will collect the corresponding materials according to the matching results.

[0078] In a specific embodiment, a KNN model is established to match each stored material with the materials that need to be collected in sequence according to the order of the storage weight values, including:

[0079] Input the current material data of the first warehouse, and compare the characteristics of the current material data of the first warehouse with the characteristics of the materials to be collected;

[0080] If the first warehouse does not meet the requirements or only meets part of the requirements, the current material data of the second warehouse is input into the KNN model to perform material matching;

[0081] If the material data of the second warehouse does not meet the requirements, the current material data of the third warehouse is input into the KNN model to perform material matching;

[0082] If the current material data of each warehouse does not meet the requirements, the nearest warehouse will be used for supply, and the unsatisfied parts will be directly purchased for replenishment.

[0083] In a specific embodiment, monitoring specifically includes the following steps:

[0084] Collect operational information on material collection by current demand units;

[0085] Build an abnormal requisition behavior monitoring model to calculate the similarity between the preset material requisition standards and the current demand unit's material requisition operation information;

[0086] Output abnormal usage behavior detection results based on similarity.

[0087] In a specific embodiment, the abnormal use behavior detection results include: a detection result of no abnormal use behavior being triggered, a detection result of triggering a first-level abnormal use behavior, and a detection result of triggering a second-level abnormal use behavior. The specific steps are:

[0088] Use the percentage system to initialize the abnormal behavior of each demand unit;

[0089] When the demand unit does not trigger abnormal requisition behavior within the preset time, calculate the abnormal behavior value = A = A0-D×T g ;

[0090] When the demand unit triggers the first-level abnormal requisition behavior, calculate the abnormal behavior value = A×(1-D×T g ×40%);

[0091] When the demand unit triggers the second-level abnormal requisition behavior, calculate the abnormal behavior value = A×60%×(1-D×T g );

[0092] Where A0 is the value of the last abnormal behavior, A is the value of the current abnormal behavior, T g The current cumulative number of abnormal withdrawals, D is an incremental value assigned when abnormal withdrawal behavior occurs, where D is a constant.

[0093] Existing technology primarily reviews the total number of historical submissions, receipt status, application notes, and inventory levels of the requesting entity. However, the proactive receipt model carries a higher level of regulatory risk compared to the existing hierarchical receipt model. Therefore, through the aforementioned technical solution, the present invention incorporates the aforementioned abnormal receipt behavior index into the demand receipt review process, thereby mitigating the risk of abnormal receipt behavior under the proactive receipt model.

[0094] In addition, to further standardize the use of bills, this technical route recommends using the abnormal use behavior index as an indicator of demand satisfaction priority, as follows:

[0095] A. Differentiating the service experience for demand units / user accounts with different "collection behavior" abnormality indices: Based on whether the abnormal collection behavior monitoring results are those that do not trigger abnormal collection behavior, those that trigger level one abnormal collection behavior, or those that trigger level two abnormal collection behavior, the present invention grants different resource viewing permissions to demand units / user accounts. Specifically, demand units / user accounts that do not trigger abnormal collection behavior can view and place collection requests in real time; demand units / user accounts that trigger level one abnormal collection behavior can view or place collection requests with a delay of 3 seconds; and demand units / user accounts that trigger level two abnormal collection behavior can view or place collection requests with a delay of 10 seconds. This further regulates collection behavior from a non-policy perspective.

[0096] B. Differentiating the demand satisfaction priorities of demand units / user accounts with different "collection behavior" abnormality indexes: Based on whether the above-mentioned abnormal collection behavior monitoring results are detection results of no abnormal collection behavior being triggered, detection results of triggering first-level abnormal collection behavior, and detection results of triggering second-level abnormal collection behavior, the present invention determines different demand satisfaction priorities, that is, the demand satisfaction priority of demand units / user accounts with excellent scores is high; the demand satisfaction priority of demand units / user accounts with qualified scores is second; and the demand satisfaction priority of demand units / user accounts with unqualified scores is the lowest. Demand units / user accounts with the same priority level meet the collection needs according to the "first come, first served" rule. This further regulates collection behavior from a non-policy perspective.

[0097] Another invention, see attached Figure 2 As shown, a supervision system for the autonomous use of materials includes:

[0098] The acquisition module is used to obtain material requisition information from the demanding units;

[0099] The audit module is connected to the acquisition module and is used to audit the material requisition application information and output the audit report;

[0100] The matching module is connected to the audit module to match the stored materials with the materials that need to be collected according to the audit report, and send it to the demand unit to collect the corresponding materials according to the material matching results;

[0101] The monitoring module is connected to the matching module and is used to build an abnormal collection behavior monitoring model to monitor the behavior of material collection and issue an alarm when abnormal collection behavior occurs.

[0102] On the one hand, this embodiment discloses a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned method for supervising the autonomous use of materials are implemented.

[0103] Through the above technical solution, the present invention discloses a method, system and readable storage medium for supervising the autonomous use of materials, which have the following beneficial effects:

[0104] 1. Through independent material collection, the entire process of original material collection is optimized, the material satisfaction rate is increased by about 10%, and the turnover rate is increased by about 5%.

[0105] 2. Break down the information barriers between different departments, promote the automatic identification of releasable materials and the sharing of inventory information, make it convenient for demand units to view the availability of idle resources, and query information such as material collection time and logistics transportation status in real time, improve the efficiency of material reserves and the efficiency of material utilization, and realize green warehousing.

[0106] 3. Transform traditional manual review into intelligent automatic review by the system, shorten the application cycle, enable the independent collection of materials by the demanding units, improve the efficiency of demand response, and save a lot of manpower and material resources.

[0107] 4. Introduce a collection behavior supervision mechanism to conduct real-time supervision on the collection behavior of the demand unit / user account, warn of improper collection behavior, establish a good collection behavior ecology, make the collection of materials more scientific and standardized, improve the efficiency of material management, and reduce demand response time by 50%.

[0108] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Reference can be made to the common and similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method description.

[0109] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention is not limited to the embodiments shown herein but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for supervising the autonomous use of materials, characterized in that: The following steps are involved: Obtain: Obtain material requisition application information from the demanding unit; Audit: Audit the material requisition application information and output an audit report; Matching: Match the stored materials with the materials that need to be collected according to the audit report, and send them to the demanding units for corresponding material collection according to the material matching results; Monitoring: Build a monitoring model for abnormal material collection behavior to monitor material collection behavior and issue an alarm when abnormal material collection behavior occurs; The matching specifically includes the following steps: Get the current material data of each warehouse; The votes of neighboring warehouses are weighted based on the distance between each warehouse's location and the demand unit's location. The closer the warehouse is, the greater the corresponding weight. Establish a KNN model, and match each warehouse material with the materials that need to be collected in order according to the order of the warehouse weight values ​​to obtain the matching results; The matching results are sent to the demanding units, and the demanding units collect the corresponding materials according to the matching results; The KNN model is established to match each stored material with the materials that need to be collected in sequence according to the order of the storage weight values, including: Input the current material data of the first warehouse, and compare the characteristics of the current material data of the first warehouse with the characteristics of the materials to be collected; If the first warehouse does not meet the requirements or only meets part of the requirements, the current material data of the second warehouse is input into the KNN model to perform material matching; If the material data of the second warehouse does not meet the requirements, the current material data of the third warehouse is input into the KNN model to perform material matching; If the current material data of each warehouse does not meet the requirements, the nearest warehouse will be used for supply, and the unsatisfied parts will be directly purchased for replenishment; The monitoring specifically comprises the following steps: Collect operational information on material collection by current demand units; Build an abnormal requisition behavior monitoring model to calculate the similarity between the preset material requisition standards and the current demand unit's material requisition operation information; Output abnormal usage behavior detection results based on similarity; The abnormal use behavior detection results include: a detection result of no abnormal use behavior being triggered, a detection result of triggering a first-level abnormal use behavior, and a detection result of triggering a second-level abnormal use behavior. The specific steps are: Use the percentage system to initialize the abnormal behavior of each demand unit; When the demand unit does not trigger abnormal requisition behavior within the preset time, calculate the abnormal behavior value = A = A0-D×T g ; When the demand unit triggers the first-level abnormal requisition behavior, the abnormal behavior value is calculated as A×(1-D×T g ×40%); When the demand unit triggers the second-level abnormal requisition behavior, calculate the abnormal behavior value = A×60%×(1-D×T g ); Where A0 is the value of the last abnormal behavior, A is the value of the current abnormal behavior, T g The current cumulative number of abnormal withdrawals, D is an incremental value assigned when abnormal withdrawal behavior occurs, where D is a constant.

2. A method for supervising the autonomous use of materials according to claim 1, characterized in that: The material requisition application information includes: the account information of the demanding unit, the total number of historical submissions by the demanding unit, the total number of materials requisitioned by the demanding unit, the requisition requirements and the requisition time.

3. A method for supervising the autonomous use of materials according to claim 2, characterized in that: The review specifically includes the following steps: authenticating the requesting unit based on the account information of the requesting unit; Verify the demand of the demanding unit based on the total number of historical submissions and the total number of cumulative withdrawals by the demanding unit; Determining whether the requesting unit is eligible for the application based on the results of the identity verification and the demand verification; When the demanding unit is qualified to receive the goods, the existing storage volume is determined to be able to meet the demand based on the demand and the time of receipt; When the existing storage volume can meet the demand for collection, an audit report will be output.

4. A method for supervising the autonomous use of materials according to claim 3, characterized in that: The audit also includes outputting an audit failure report when the requesting unit does not have the qualifications to use the goods or when the inventory does not meet the use requirements.

5. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for supervising the autonomous use of materials as described in any one of claims 1 to 4.

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