Internet-based enterprise consumable asset data management system

Abstract

The invention relates to the technical field of enterprise asset data management, in particular to an internet-based enterprise consumable asset data management system, which comprises an asset information module, an asset verification module, an asset change module, an asset matching module and an asset management module, the method comprises the following steps: acquiring asset information and enterprise consumables of asset equipment, and setting an asset interaction relationship corresponding to the asset information and the enterprise consumables; checking asset equipment according to the asset interaction relationship, determining the actual state of each asset equipment, exporting the asset position and the updating frequency of the asset equipment, verifying the use condition of each asset equipment under the change of the asset position according to the actual state of each asset equipment, and generating an asset change vector; performing interactive matching by using the asset change vector and the update frequency to obtain an asset matching result of the multi-attention combination; assessing the asset equipment according to the asset matching result, and determining the use type distribution of the enterprise consumables; accuracy of asset management and operation efficiency of enterprise consumables are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise asset data management, and in particular to an enterprise consumable asset data management system based on the Internet. Background Art

[0002] Enterprise asset management refers to the effective planning, configuration, use, maintenance and disposal of various tangible or intangible assets within the enterprise to improve the efficiency and value of asset use, reduce asset risks and costs, and achieve the strategic goals of the enterprise. Enterprise asset management involves many aspects, such as asset identification, asset location, asset movement, asset recording, asset inspection, etc.

[0003] As enterprises expand in size and their business becomes more complex, enterprise asset management becomes increasingly complex. Especially for enterprises that rely on a large number of consumables, how to effectively manage asset equipment and their related consumables consumption has become a key issue. Traditional asset management methods often lack a deep understanding of the interaction between asset equipment and consumables, resulting in waste of resources, increased maintenance costs, and low efficiency.

[0004] For example, Chinese patent publication number CN115310952A discloses an enterprise asset management method and system based on the Internet of Things, which relates to the field of data processing technology. By constructing an enterprise asset database including enterprise asset information and asset number information, asset status monitoring information is obtained, the enterprise asset database is updated based on the asset status monitoring information, and asset health status assessment is performed on each asset coding information according to the enterprise asset database to obtain health assessment information of each asset. It is determined whether the health assessment information of each asset reaches a preset threshold. If the threshold is reached, a warning message is generated, and if the threshold is not reached, an operation and maintenance management work order is generated.

[0005] For example, Chinese patent publication number CN117094574A discloses a method, system, device and computer-readable storage medium for efficient management of enterprise assets. The method includes: binding a Bluetooth tag to a movable asset and entering asset information; generating an asset mobile pass based on the asset information and issuing it to the user; scanning the pass QR code to verify the pass, and using indoor positioning technology to locate the Bluetooth tag to determine the current location of the asset; when the asset location changes, generating a location change record and storing it as a data block, the data block includes a check code part and a location change content part, and the check code is calculated by a hash algorithm to ensure the integrity and non-tamperability of the data.

[0006] The prior art describes a method of conducting a health assessment of enterprise assets through asset classification, and a method of determining asset access rights by checking asset locations; however, it is difficult to track the status of enterprise consumables under multiple asset equipment through only these two aspects, so that enterprise consumables cannot be allocated in time according to the needs of asset equipment, resulting in increased equipment management costs and reduced operational efficiency of enterprise asset data management. Summary of the invention

[0007] In order to solve the above technical problems, the technical solution adopted by the present invention is: an Internet-based enterprise consumables asset data management system, including: an asset information module, which is used to obtain asset information of asset equipment and enterprise consumables based on basic information during asset management, and set the asset interaction relationship between asset information and enterprise consumables.

[0008] The asset verification module is used to conduct an inventory of assets and equipment based on asset interaction relationships, determine the actual status of each asset and equipment, and derive the asset location and update frequency of the asset equipment. The asset location includes static location, dynamic location and business process location.

[0009] The asset change module is used to verify the target change trend corresponding to the usage status of each asset equipment under the asset location change according to the actual status of each asset equipment, and generate an asset change vector.

[0010] The asset matching module is used to use the asset change vector for interactive matching, determine the comparison features under asset interaction, combine the comparison features with the update frequency of the asset equipment, and obtain the asset matching results of the multi-attention combination.

[0011] The asset management module is used to evaluate asset equipment based on asset matching results and determine the usage type distribution of enterprise consumables.

[0012] The beneficial effects of the present invention are as follows: 1. The present invention collects and processes basic information of asset equipment, including static location, dynamic location and business process location, and establishes an interactive relationship between asset information and enterprise consumables; it associates asset equipment with the use of enterprise consumables in events such as maintenance, idleness and repair to determine the use of asset equipment under normal management, and can track the status of asset equipment and verify the consumption of enterprise consumables in real time, thereby improving the control of enterprise consumable costs. At the same time, the different asset locations on asset equipment can be controlled, and the enterprise asset data of multiple data officers can be integrated to improve the data integration effect in complex situations, so as to reduce the difficulty of data integration and the difficulty of quantifying enterprise consumables due to the scattered and complicated data sources during enterprise data management.

[0013] 2. The present invention can ensure the accuracy and real-time nature of asset status by taking inventory based on asset interaction relationships, extract relevant data on asset equipment during its normal life cycle, and determine the maintenance time, maintenance location, and maintenance cost of this data to identify whether there are abnormalities in asset equipment maintenance and large consumption of enterprise consumables, thereby preventing excessive consumption of enterprise consumables.

[0014] 3. The present invention generates asset change vectors by monitoring the state changes of assets and equipment. After matching the asset change vectors multiple times, the multi-attention mechanism is used to calculate the matching probability between asset change vectors to identify similar asset patterns; finally, based on the asset matching results, the distribution of the usage types of enterprise consumables is determined. Under asset management, the state changes corresponding to the assets and equipment are associated with the enterprise consumables to determine the accuracy of the corresponding data during asset management; at the same time, according to the matching processing of the asset change vectors, the current changes in the demand and cost of the enterprise consumables can be analyzed, helping the enterprise to quickly understand the consumption and expected use of consumables. Finally, after displaying the usage trends of these situations, the relevant types of enterprise consumables are clustered and displayed, which can assist the enterprise in managing the enterprise consumables and ultimately improve the operation efficiency of the enterprise consumables. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0016] Figure 1 The system diagram of an enterprise consumables asset data management system based on the Internet.

[0017] Figure 2 The invention is a flowchart of the asset information module of the enterprise consumable asset data management system based on the Internet.

[0018] Figure 3 The invention is a flowchart of an asset verification module of an enterprise consumable asset data management system based on the Internet.

[0019] Figure 4 The invention is a flowchart of an asset change module of an enterprise consumable asset data management system based on the Internet. DETAILED DESCRIPTION

[0020] The embodiments of the present invention are described in detail below. The embodiments described below are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention. If no specific techniques or conditions are specified in the embodiments, the techniques or conditions described in the literature in the art or the product specifications are used.

[0021] See also Figure 1, an enterprise consumables asset data management system based on the Internet, including: an asset information module, an asset verification module, an asset change module, an asset matching module and an asset management module; wherein the output end of the asset information module is connected to the asset verification module, the output end of the asset verification module is connected to the asset change module, the output end of the asset change module is connected to the asset matching module, and the output end of the asset matching module is connected to the asset management module.

[0022] The asset information module is used to obtain asset information of asset equipment and enterprise consumables based on basic information during asset management, and to set asset interaction relationships between asset information and enterprise consumables.

[0023] The asset verification module is used to conduct an inventory of assets and equipment based on asset interaction relationships, determine the actual status of each asset and equipment, and derive the asset location and update frequency of the asset equipment. The asset location includes static location, dynamic location and business process location.

[0024] The asset change module is used to verify the target change trend corresponding to the usage status of each asset equipment under the asset location change according to the actual status of each asset equipment, and generate an asset change vector.

[0025] The asset matching module is used to use the asset change vector for interactive matching, determine the comparison features under asset interaction, combine the comparison features with the update frequency of the asset equipment, and obtain the asset matching results of the multi-attention combination.

[0026] The asset management module is used to evaluate asset equipment based on asset matching results and determine the usage type distribution of enterprise consumables.

[0027] The basic information in asset management represents the basic asset situation, such as the total asset value, residual value of assets, asset expenses, maintenance costs, etc. The asset information obtained generally needs to explain the location, quantity, model, type, and corresponding working conditions of the assets. Then, the consumables used in asset management are associated with their usage. For example, in terms of the dimensions of the consumable equipment being in use, idle, lost, and scrapped, the location, condition, preparation for use, and maintenance of the assets are associated as the asset interaction relationship during asset management at this time. The usage and residual value of the current equipment under the corresponding equipment quantity are verified and marked out. Finally, the asset information is compared to conduct comprehensive management of equipment of multiple categories.

[0028] It should be noted that enterprise consumables refer to items that are used in conjunction with assets (such as equipment, tools, etc.) and will be gradually consumed or need to be replaced regularly during the operation process; such items are usually not accounted for as assets separately, but their usage, inventory and cost will be bound to the associated assets to comprehensively track asset operation and maintenance costs and resource consumption. At this time, the basic information of asset management is associated with the usage of enterprise consumables, and the location and usage of each device in multiple dimensions corresponding to enterprise consumables are determined, and finally the asset interaction between devices is completed, which is convenient for timely verification of the normal operation of machinery and equipment and the linkage of asset status, and the optimization and refinement of operation and maintenance costs.

[0029] Therefore, when setting the asset interaction relationship corresponding to the asset information, such as Figure 2 As shown, the implementation method of the asset information module also includes: obtaining the scenario type of the asset information, dividing the asset information into scenarios, determining the data distribution of the asset information in each scenario, and generating classification categories of the asset information.

[0030] When segmenting the scenarios, the scenario types described can be procurement and warehousing, allocation and issuance, operation and maintenance, inventory and auditing, as well as scenarios corresponding to depreciation and scrapping. These scenarios represent the usage of related equipment and consumables in the enterprise. Then, the record data of the corresponding assets, equipment and consumables in each scenario is described to obtain the corresponding data distribution. Finally, the asset information categories are divided into three categories: static attributes, dynamic status, and business associations. These three categories represent the classification categories of current asset information; static attributes are inherent information that does not change with time or scenario, and are centrally stored in the core database for shared reading in multiple scenarios; dynamic status information that changes in real time with business activities is distributedly stored in time series databases, IoT edge nodes, and other locations; business associations are contextual information bound to external systems or processes, which are mostly cross-system associated storage and require API dynamic calls to obtain related data. These data will indicate the differences in asset information storage and usage to describe the main focus of asset management.

[0031] Based on the classification of the asset information, a semantic segmentation vector of the asset information is obtained, and multiple mapping relationships of the asset information are obtained in sequence according to the semantic segmentation vector.

[0032] At this time, the semantic segmentation vector represents the classification of asset information. The data under the three categories are spliced ​​in the form of vectors. Then the data corresponding to these vectors are used as multiple mapping relationships of the asset information at this time to describe the asset interaction process and business generated by the asset data under the corresponding category.

[0033] The asset information is associated and combined with the data corresponding to the enterprise consumables according to the mapping relationship, and the result of the association and combination is used as the asset interaction relationship between the asset information and the enterprise consumables.

[0034] When performing an association combination, the result of the association combination is used as the implementation method of setting the asset interaction relationship corresponding to the asset information and the enterprise consumables, including: verifying the time ratio numerator of each asset equipment under the mapping relationship of the asset information, and the value ratio numerator of the enterprise consumables in the classification category of each asset equipment, where the time ratio numerator is the ratio of the working time of an asset equipment to the total working time of the total asset equipment, and the value ratio numerator is the ratio of the value of an asset equipment to the value of the total asset equipment; the time ratio factor of each asset equipment represents the length of the time period corresponding to each state of the asset equipment under the asset interaction, and this time period length will indicate how long the asset equipment needs to replace the consumables, or the length of time the consumables corresponding to the asset equipment can be used. This indicator can help identify which equipment is used frequently and may require more maintenance or updates; and which equipment has low utilization and may have idle resources.

[0035] The value ratio factor describes the proportion of the cost of a certain category of consumables to the total consumables cost when the consumables corresponding to the asset equipment interact with the asset. Analyzing the consumable ratio at this time can help understand the relative value of the consumables currently consumed, and assist in subsequent adjustments to the consumables to reduce cost losses.

[0036] For example, the current asset information includes three main devices A, B, and C. The three main devices have been used for a total of 30 days. Among them, device A has been used for 15 days, and the time proportion numerator is 50%; device B has been used for 10 days, and the time proportion numerator is 33%; device C has been used for 5 days, and the time proportion numerator is 16.7%. By identifying the time proportion numerator at this time, the different working frequencies of the three devices can be found to identify the corresponding idle, working and other states of these devices.

[0037] Afterwards, the three main equipment A, B, and C correspond to three consumables: raw material X, parts Y, and auxiliary material Z. The total value of these three consumables is 10,000 yuan, of which the cost of raw material X is 4,000 yuan, and the value accounts for 40%; the cost of parts Y is 3,500 yuan, and the value accounts for 35%; the cost of auxiliary material Z is 2,500 yuan, and the value accounts for 25%. At this point, you can find the corresponding situation of different consumables in the current situation. Then, by associating these data, you can find the relationship between asset information and consumable consumption, which is convenient for subsequent overall asset management and planning.

[0038] Based on the time proportion numerator of each asset device, the timeline of data changes in asset information under the mapping relationship is obtained, and each sub-event of asset interaction under the timeline is extracted.

[0039] Identify whether the time points of each sub-event overlap, and use the value ratio numerator to determine whether the asset interaction is logical. When the asset interaction is logical and there are overlaps, divide each sub-event into the interaction layer, contract layer, and standard layer, and set the asset interaction relationship between the asset information and the enterprise consumables according to the connection relationship under the corresponding layer.

[0040] At this time, the purpose of dividing each sub-event into the interaction layer, contract layer and standard layer is to explain the ongoing steps of the asset interaction and whether the asset interaction is proceeding normally. The interaction layer indicates the events in which the current asset equipment and enterprise consumables have undergone status changes and location updates. At this time, the asset information and enterprise consumables will change from the idle label to the in-use status to indicate that the assets corresponding to the enterprise consumables are in an available state.

[0041] The contract layer indicates whether the asset interaction under the sub-event complies with the preset strategy, that is, it indicates the interaction of the asset information under its approval process and authority control. For example, if the asset maintenance cost reported under the current asset interaction is too large, exceeding the threshold of 50%, the asset interaction event will be changed, forcibly triggering the scrapping or other processing of the relevant equipment. The sub-events described in the contract layer are mostly sub-events that use sub-events to determine changes in the approval process and corresponding authority control after reporting the asset interaction.

[0042] The standard layer describes the actual operations performed on the asset interactions, what operations were ultimately performed on the reported asset interactions, and the information corresponding to these operations.

[0043] According to the relationship between these three levels in the submission process of asset interaction, the asset interaction relationship between the current asset information and the corresponding enterprise consumables is formed. This processing can integrate the asset interaction under multiple systems and data sources, so that the use of enterprise consumables under asset interaction can be traced and identified in time, preventing the problem of excessive or insufficient consumption of enterprise consumables.

[0044] When identifying whether the time points of each sub-event overlap, the main thing is to obtain certain synchronous times. If the starting and ending points of these times overlap, it means that these times can represent rapid changes in equipment or consumables. These contents need to be analyzed centrally to prevent waste of consumables and repeated purchase approvals. For the use value ratio numerator, it is necessary to determine whether the asset interaction is logical by identifying the cost of consumables when the asset interaction is currently ongoing to prevent inconsistent consumable costs.

[0045] In one embodiment of the present invention, the asset verification module is mainly used to explain the corresponding conditions of each asset device in the asset interaction, so as to indicate the usage of the consumables corresponding to the current asset device after multiple data updates.

[0046] The asset location of the asset equipment here can be expressed as shown in Table 1.

[0047] Table 1. Asset location diagram

[0048]

[0049] Table 1 illustrates the forms in which the currently exported asset location is used. One is the static location that has been entered. The static location represents the form of equipment storage. In this case, the equipment location is almost fixed and will not change with time or scenario. The associated consumables and other assets will be regarded as additional storage assets; the other is the dynamic location that is changing. This means that the equipment is being transported or in a dynamic working scenario. The consumables associated with this asset location will be recorded in a timely manner for consumption and distribution to determine the usage of the relevant consumables; and there is also a business process location registered using the business process, which represents the current equipment situation. In this case, the consumables associated with the equipment also need to be associated with the description of the business process to determine how the consumables are replenished and consumed. If it is in a maintenance state, the corresponding consumables that need to be used are recorded to determine the required quantity of consumables under the business process, thereby completing the scheduling of asset location and consumables.

[0050] The update frequency refers to the time interval between the asset equipment and the corresponding consumables being refreshed in the system under the asset interaction relationship, to determine the speed or frequency of actual use or scheduling of consumables, and to map these contents with the actual status of the asset equipment to determine whether the current equipment has problems such as excessive consumption of consumables or insufficient consumables.

[0051] like Figure 3 As shown, the implementation method of the asset verification module includes: obtaining the life cycle corresponding to the asset information, according to the life cycle corresponding to the asset information, relationally encoding each interaction data in the asset interaction relationship, setting the relationship vector corresponding to the asset interaction relationship, and calculating the cosine similarity between each relationship vector to obtain the sequence data of the relationship vector under the current life cycle.

[0052] Perform status dimension inventory on the sequence data in the current life cycle to determine whether the asset interaction in the current life cycle is normal. If normal, extract the asset location and update frequency of the current asset equipment.

[0053] The life cycle corresponding to the asset information starts from the time each asset is purchased or put into use, and is the total length of time corresponding to maintenance and scrapping. The content of the asset information during maintenance and process changes during this time is described, and each asset equipment and enterprise consumables are used as nodes in the inventory of asset interaction relationships. The type, frequency, intensity, etc. of interactions in the asset interaction relationship are used as edges during the inventory of asset interaction relationships. The interaction data corresponding to the asset interaction relationship is converted into a relationship vector in digital form, and then the cosine similarity of the relationship vectors under different asset interactions is calculated to evaluate the similarity between different asset equipment and enterprise consumables when interacting. Finally, the data with similarity is combined into a sequence data to describe asset equipment and enterprise consumables with similar interaction methods.

[0054] After that, we will conduct a status dimension inventory to evaluate whether there are any abnormalities in the normal interaction and resource call between the asset equipment and the enterprise consumables, that is, to determine whether their interaction mode and interaction frequency meet expectations, and then further extract specific information related to the asset, such as its location and frequency of data updates. This is crucial to ensure the accuracy and timeliness of the asset management system.

[0055] The form of relationship coding is to use numbers to represent the interaction between assets and enterprise consumables, and then add the type, frequency, and intensity of the interaction in the asset interaction relationship, and use these data in digital form to form a relationship vector. For the type of interaction, the digital code will be set according to the content described under the scenario type, and then the frequency represents the frequency of changes of the asset equipment under normal business processes and maintenance conditions, and the intensity represents the quantity or cost of the corresponding asset equipment, and finally the setting of the relationship vector is completed.

[0056] The status dimension generally includes time, location, frequency of use, health status and other contents. These contents represent the dimensions of the actual status of the current asset equipment. By taking inventory of the status of the asset equipment under these dimensions, it can be found that when the asset equipment is associated with the corresponding consumables, the time and location of the consumables used, and the content of what consumables are needed to maintain their health status can be explained to more comprehensively represent the actual quantity and value of consumables required for consumable management of enterprise assets, thereby facilitating the subsequent change trend during use, and finally completing the trend represented by the total consumption and consumption distribution of consumables under the change of asset information.

[0057] The implementation method of status dimension inventory of sequence data in the current life cycle includes: based on the sequence data in the current life cycle, obtaining the maintenance time, maintenance location and maintenance cost of the asset equipment; the maintenance time indicates the time when the asset equipment replaces the consumables, the maintenance location indicates the location where the current asset equipment is replaced or repaired when replacing the consumables, and the maintenance cost indicates how much the consumables cost when replacing the consumables, so as to record the normal situation of the equipment using consumables.

[0058] Determine whether the maintenance time, maintenance location, and maintenance cost of the asset equipment meet the preset rules. If they meet the preset rules, it is determined that the asset interaction is normal in the current life cycle.

[0059] In the current situation, the preset rules indicate that the time period corresponding to the maintenance time of the asset equipment and the average time period of the normal maintenance interval of the equipment in the historical data differ by less than 10%. This indicates whether the time for the equipment's own maintenance and replacement of consumables is the same as normal, to find out whether there is excessive consumption. Regardless of whether these data meet the preset rules, they will be recorded as data corresponding to the actual status of each asset equipment.

[0060] The preset rule of the maintenance position indicates whether the frequency of consumable replacement at the corresponding position of the asset equipment exceeds the average frequency of consumable replacement at the same position of the same equipment in historical data after the consumables are replaced. If it is less than the average, it is considered that the preset rule of the maintenance position is met.

[0061] The preset rule for maintenance cost indicates the cost required to replace or repair consumables of asset equipment. This cost shall not exceed 80% of the maximum value of repairs of the same equipment under the same circumstances in historical data. Otherwise, the equipment maintenance cost is considered to be too high, which is an abnormal asset maintenance phenomenon.

[0062] In one embodiment of the present invention, when describing changes in asset locations, the target change trend of the usage status of each asset device will be processed in sequence according to the changes in static location, dynamic location, and business process location, and an asset change vector will be formed based on these processed data.

[0063] Under static position changes, the changes in the usage and maintenance frequencies of asset equipment when it is dispatched from one location to another to describe the possible growth and consumption of consumables will be emphasized. For example, a manufacturing company transfers a CNC machine tool from a spare warehouse to the main station of a production line. At this time, the usage frequency increases from 10 hours per month to 8 hours per day. The maintenance log shows that more frequent lubrication and sensor calibration are required. At the same time, due to the high ambient temperature of the production line, the equipment heat dissipation demand increases, resulting in an increase in the failure rate of the cooling system. The consumables consumed by the maintenance generated at this time are expressed in the form of a usage trend chart, which can be used to obtain the method required under static positions.

[0064] Under dynamic position changes, the increase in the cost of consumables used during transportation or movement on a certain path will be explained to describe the resulting change trend. For example, the transportation route of a transport truck of a logistics company from city A to city B changes. The new route adds mountain roads, which causes the engine temperature to rise and fuel consumption to increase by 15%. The on-board sensor data shows that the brake system wears faster. The maintenance team also performs emergency repairs during transportation, which increases downtime. The costs of these maintenance will be described, and a related trend chart will be generated according to the labels corresponding to the dynamic position changes to describe the trend of changes in consumables under this method.

[0065] When the business process position changes, the amount of consumables required when the asset equipment status changes will be explained, and the amount of consumables will be used as the trend change at this time. For example, the asset equipment status indicates three states: in production, in maintenance, and standby. At this time, the asset equipment corresponds to the content of the work order, and whether the consumables required for maintenance under the work order will change due to the work order content and the asset equipment status. The consumables consumption and predicted replenishment quantity generated by normal work at this time are used as the main identified change trends under the business process position change.

[0066] According to the above description, when the three asset locations of static location, dynamic location and business process location change, it is actually necessary to obtain the change trend of their consumables consumption and the change trend of subsequent replenishment scheduling. Therefore, after matching the trend quantity of consumables demand, the trend quantity of consumables use and the trend quantity of consumables cost with the corresponding category of asset location, as the target change trend of the use status of each asset equipment, the change trend of each category is spliced ​​to finally obtain the output asset change vector.

[0067] This section will further explain the existing consumption trends of enterprise consumables, and comprehensively identify the associated changes between the identified consumption trends and equipment, such as changes in asset value, asset expenses, maintenance costs, etc., to determine the actual consumption of assets and equipment under different circumstances.

[0068] like Figure 4 As shown, the implementation method of the asset change module includes: according to the actual status of each asset equipment, extracting the consumables data corresponding to each asset equipment under the asset position change, the consumables data includes consumables demand, consumables usage and consumables cost.

[0069] The consumables data is associated with the asset equipment to generate a target change trend, and the trend slope of the target change trend is used as the output asset change vector.

[0070] The method of associating consumables data with asset equipment is to extract trend features of the usage status of each asset equipment at static locations, dynamic locations and business process locations.

[0071] The usage time and maintenance interval corresponding to the asset equipment at the static position are used as the trend characteristics of the static position, and the trend characteristics of the static position are associated with the consumables usage to obtain the consumables consumption trend chart. The consumables consumption trend chart will use the corresponding consumables usage as the ordinate of the consumables consumption trend chart after the usage time and maintenance interval change, and the time point corresponding to the changed maintenance interval as the abscissa, and then use the usage frequency and maintenance interval as the content described at this time.

[0072] The maintenance times corresponding to the asset equipment at the dynamic position are used as the trend characteristics of the dynamic position, and the trend characteristics of the dynamic position are associated with the consumables cost to generate a consumables cost trend chart. In the consumables cost trend chart, the maintenance times corresponding to the maintenance interval at the dynamic position are used as the horizontal axis, and the consumables cost of the maintenance is represented as the vertical axis.

[0073] Calculate the state transition frequency at the business process location as the trend feature of the business process location, associate the trend feature of the business process location with the consumables demand, and generate a consumables demand trend chart. The state transition frequency counts the number of times the equipment switches between states such as "production → maintenance → standby" to describe the actual working conditions of the equipment, whether there are multiple maintenance or other idle situations, and uses the consumables demand in this situation as the vertical coordinate, and the time point of each state transition as the horizontal coordinate. The horizontal coordinate can be further expressed in unit time to determine the increase in consumables demand as the frequency of state conversion increases. These related data can be directly queried from the asset information recorded in the actual status of each asset equipment and the asset interaction relationship of the enterprise consumables, and the characteristics required for the target change trend are formed according to these data.

[0074] The moving average of the slope values ​​of the consumables consumption trend chart, consumables cost trend chart, and consumables demand trend chart is used as the trend slope of the target change trend. Then, the trend slope change rate of the target change trend can be directly obtained based on this trend slope. The asset change vector will also include the slope values ​​represented by the curves in these three trend charts to indicate the usage of the consumables corresponding to the current asset equipment in terms of demand, usage, and cost.

[0075] In one embodiment of the present invention, the comparison features in the asset matching module indicate that there are data of the same dimension or representing the same type of object between asset change vectors, and the corresponding data of the asset change vectors are screened as comparison features for comparison; these data represent data that can be interactively matched in the asset change vectors, which can assist in the evaluation of finding candidate matching pairs that can be used for rapid asset management, to assist in the centralized storage or management of assets.

[0076] Therefore, the implementation method of the asset matching module includes: obtaining the interactive matching target of the asset change vector for interactive matching, the interactive matching target includes matching the assets to be maintained with the maintenance team, and matching the asset change vectors with high similarity to find the relative similarity between the asset change vectors; at this time, the interactive matching target represents the data pair of the asset change vectors corresponding to the two asset devices, or represents the two asset change vectors extracted corresponding to the interactive matching target, to represent the processing status of the interactive matching.

[0077] Perform feature screening on the asset change vectors to determine the comparison features under each interactive matching target. Perform multi-attention calculation on the comparison features according to the normalized values ​​of the asset change vectors and update frequency to obtain the matching probability between each asset change vector. Then, sort the asset change vectors from large to small according to the matching probability as the output asset matching result.

[0078] Assume that at the time of final matching, there is asset A: ACV=[0.65, 0.8, 0.45, 0.72, 0.18], UF_score=0.9, at this time ACV represents the asset change vector, and UF_score represents the update frequency.

[0079] There is a maintenance team B: ACV=[0.63, 0.79, 0.44, 0.71, 0.17], UF_score=0.85; then the matching probability between asset A and team B is 0.92.

[0080] For maintenance team B, the asset change vector is extracted by extracting the relevant data of the asset equipment handled by the maintenance team. The value of the asset change vector is to extract part of the data from the trend slope corresponding to the asset change vector as the data content explained at this time. The score of the update frequency is set according to the average value of the asset equipment data relative to the historical data update frequency. For example, close to 90% of the historical data average value, it can be set to 0.9 points to indicate that this situation belongs to the frequently updated part; at this time, the corresponding data situations between the asset change vectors are matched, and after the asset change vector is inserted into the update frequency, the corresponding cosine similarity is calculated to obtain the matching degree between the asset change vectors. When performing multi-attention combination, four attention heads are set according to the asset change vector and update frequency corresponding to asset A and maintenance team B, and then each attention head is calculated. Then, after the data of each attention head is spliced, all data are weighted and summed in the spliced ​​dimension to obtain the weighted features processed by the multi-attention combination. Finally, the weighted features are input into the neural network and the sigmoid function is used to output the matching probability. The asset change vectors are sorted from large to small according to the size of the matching probability. The final sorted list is the asset matching result. The output matching probability will represent the Gaussian distribution probability of the corresponding feature. This probability will indicate whether there is a high degree of matching similarity between the values ​​of the two asset change vectors being matched under the features of the current multi-attention combination processing. The final asset matching result can show the relationship between the respective asset change vectors under different matching probabilities.

[0081] In one embodiment of the present invention, the implementation method of the asset management module includes: based on the asset matching results, mining the association rules of the asset matching results, identifying the multiple consumables usage modes corresponding to the asset matching results, grouping the asset equipment according to the consumables usage mode, and setting the usage type distribution of the enterprise consumables according to the enterprise consumables corresponding to the asset equipment under each group. The method of evaluating the asset equipment means grouping the relevant equipment according to the data of the asset matching results under the corresponding matching value using the consumables usage mode and the value of the matching probability, that is, when it is determined that the asset equipment is low-maintenance, the data that meets this requirement is selected as part of the equipment grouping at this time, or the data of each matched asset equipment in the asset matching results is used as a node in the form of discrete distribution, and the edges between the nodes are represented by the matching probability, and the nodes are clustered, and the clustered data is used as the equipment group corresponding to the consumables usage mode.

[0082] During clustering, any node is used as the central node, and the central node is connected to other nodes to form multiple clusters. Each cluster is continuously iterated until the average value of the matching probability calculation in each cluster reaches a stable state. When there is no change, the corresponding cluster is output as the data after the asset equipment is grouped according to the consumable usage mode.

[0083] The implementation method of the consumables usage pattern is as follows: identify the high-frequency consumables combination of the enterprise consumables corresponding to the asset matching results, use the Apriori algorithm to identify the frequent item sets in the enterprise consumables corresponding to the asset matching results, combine the frequent item sets according to the preset association rules, and output the data that meets the preset conditions in the combined frequent item sets as the consumables usage pattern.

[0084] The preset condition indicates that the support and confidence values ​​of the combined frequent itemsets meet at least one of the following conditions: the support of the combined frequent itemsets is greater than the minimum support threshold, and the confidence of the combined frequent itemsets is greater than the minimum confidence threshold; at this time, the minimum support threshold is required to be 0.3, and the minimum confidence threshold is 0.6. Since the types and data corresponding to asset equipment may be complicated and scattered, the main enterprise consumables under asset equipment maintenance and processing will be classified to find out the obvious consumption combinations in the enterprise consumables. The data display of these combinations can further describe how the current enterprise consumables are used and distributed.

[0085] The preset association rules will be set in advance based on the association between enterprise consumables, such as filter elements, lubricants and other products. These products will represent the consumables that need to be replaced simultaneously when the equipment is repaired, and will serve as the preset association rules for the enterprise consumables at this time.

[0086] When grouping equipment, the assets and equipment are grouped according to the matching probability values ​​calculated in the assets and equipment, and are divided into groups under various consumable usage modes such as high-energy consumption group and low-maintenance group. Then, the corresponding data of the enterprise consumables under each group is displayed to obtain the usage type distribution of the enterprise consumables, and to display the distribution of enterprise consumables under multiple data combination relationships such as asset equipment-consumable type-consumption scenario-consumption amount to describe the consumption intensity of consumables. After displaying these data intuitively, the enterprise can timely view the relevant data of enterprise consumables and assets and equipment obtained from multiple data sources to formulate resource management strategies for consumables management, and ultimately achieve the core goal of reducing costs and increasing efficiency.

[0087] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and they are still covered by the protection scope of the present invention.

Claims

1. An Internet-based enterprise consumables asset data management system, characterized in that: include: The asset information module is used to obtain asset information of asset equipment and enterprise consumables based on basic information during asset management, and to set asset interaction relationships between asset information and enterprise consumables; The asset verification module is used to conduct an inventory of assets and equipment based on the asset interaction relationship, determine the actual status of each asset and equipment, and derive the asset location and update frequency of the asset equipment. The asset location includes static location, dynamic location and business process location; The asset change module is used to verify the target change trend of the usage status of each asset equipment under the asset location change according to the actual status of each asset equipment, and generate an asset change vector; The asset matching module is used to perform interactive matching using asset change vectors, determine the comparison features under asset interaction, combine the comparison features with the update frequency of asset equipment, and obtain asset matching results of multi-attention combinations; The asset management module is used to evaluate asset equipment based on asset matching results and determine the usage type distribution of enterprise consumables.

2. The Internet-based enterprise consumables asset data management system according to claim 1, characterized in that: The implementation of the asset information module also includes: Obtain the scenario type of asset information, segment the asset information into scenarios, determine the data distribution of asset information in each scenario, and generate the classification categories of asset information; Based on the classification of the asset information, a semantic segmentation vector of the asset information is obtained, and multiple mapping relationships of the asset information are obtained in sequence according to the semantic segmentation vector; The asset information is associated and combined with the data corresponding to the enterprise consumables according to the mapping relationship, and the result of the association and combination is used as the asset interaction relationship between the asset information and the enterprise consumables.

3. The Internet-based enterprise consumables asset data management system according to claim 2, characterized in that: The implementation methods of associating and combining the asset information with the data corresponding to the enterprise consumables according to the mapping relationship include: Verify the time proportion of each asset equipment under the asset information mapping relationship, as well as the value proportion of enterprise consumables in each asset equipment category; Based on the time proportion numerator of each asset device, obtain the timeline of data changes in asset information under the mapping relationship, and extract each sub-event of asset interaction under this timeline; Identify whether the time points of each sub-event overlap, and use the value ratio numerator to determine whether the asset interaction is logical. When the asset interaction is logical and there are overlaps, divide each sub-event into the interaction layer, contract layer, and standard layer, and set the asset interaction relationship between the asset information and the enterprise consumables according to the connection relationship under the corresponding layer.

4. The Internet-based enterprise consumables asset data management system according to claim 1, characterized in that: The implementation methods of the asset verification module include: Obtain the life cycle corresponding to the asset information, perform relational coding on each interaction data in the asset interaction relationship according to the life cycle corresponding to the asset information, set the relationship vector corresponding to the asset interaction relationship, and calculate the cosine similarity between each relationship vector to obtain the sequence data of the relationship vector under the current life cycle; Perform status dimension inventory on the sequence data in the current life cycle to determine whether the asset interaction in the current life cycle is normal. If normal, extract the asset location and update frequency of the current asset equipment.

5. The Internet-based enterprise consumables asset data management system according to claim 4, characterized in that: The implementation methods for status dimension inventory of sequence data in the current life cycle include: Based on the sequence data of the current life cycle, obtain the maintenance time, maintenance location and maintenance cost of asset equipment; Determine whether the maintenance time, maintenance location, and maintenance cost of the asset equipment meet the preset rules. If they meet the preset rules, it is determined that the asset interaction is normal in the current life cycle.

6. The Internet-based enterprise consumables asset data management system according to claim 1, characterized in that: The implementation methods of the asset change module include: According to the actual status of each asset equipment, extract the consumables data corresponding to each asset equipment under the asset location change. The consumables data includes the consumables demand, consumables usage and consumables cost; The consumables data is associated with the asset equipment to generate a target change trend, and the trend slope of the target change trend is used as the output asset change vector.

7. The Internet-based enterprise consumables asset data management system according to claim 6, characterized in that: The way to associate consumables data with asset equipment is as follows: Extract trend features of the usage status of each asset equipment at static locations, dynamic locations, and business process locations; The usage time and maintenance interval corresponding to the asset equipment at the static position are used as the trend characteristics of the static position, and the trend characteristics of the static position are associated with the consumables usage to obtain a consumables consumption trend graph; The number of maintenance times corresponding to the asset equipment at the dynamic position is used as the trend feature of the dynamic position, and the trend feature of the dynamic position is associated with the consumables cost to generate a consumables cost trend chart; Calculate the state transition frequency at the business process position as the trend feature of the business process position, associate the trend feature of the business process position with the consumables demand, and generate a consumables demand trend graph; The moving average of the slope values ​​of the consumables consumption trend graph, the consumables cost trend graph, and the consumables demand trend graph is used as the trend slope of the target change trend.

8. The Internet-based enterprise consumables asset data management system according to claim 1, characterized in that: The implementation methods of the asset matching module include: Obtain the interactive matching target for interactive matching of asset change vectors, perform feature screening on asset change vectors, determine the comparison features under each interactive matching target, perform multi-attention calculation on the comparison features according to the normalized values ​​of asset change vectors and update frequency, obtain the matching probability between each asset change vector, and sort the asset change vectors from large to small according to the size of the matching probability as the output asset matching result.

9. The Internet-based enterprise consumables asset data management system according to claim 1, characterized in that: The implementation methods of the asset management module include: Based on the asset matching results, association rule mining is performed on the asset matching results to identify multiple consumable usage patterns corresponding to the asset matching results, and the assets and equipment are grouped according to the consumable usage patterns. According to the enterprise consumables corresponding to the asset equipment in each group, the usage type distribution of the enterprise consumables is set.

10. The Internet-based enterprise consumables asset data management system according to claim 9, characterized in that: The consumables usage mode is implemented as follows: Identify the frequent item sets in the enterprise consumables corresponding to the asset matching results, combine the frequent item sets according to the preset association rules, and output the data in the combined frequent item sets that meet the preset conditions as the consumables usage mode.

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