Cloud-computing-based intelligent early warning query system for computer hardware inventory

Abstract

The application relates to the technical field of inventory management, and discloses a computer hardware inventory intelligent early warning query system based on cloud computing, which comprises a data acquisition unit, a sales monitoring unit, a health assessment unit, a delivery risk unit and a comprehensive analysis unit; the data acquisition unit is combined with an inventory database and a sensor array to automatically collect multi-dimensional data such as inventory duration, sales volume, delivery and health, thereby replacing traditional manual counting and experience judgment, greatly improving counting efficiency, reducing counting errors, guaranteeing the accuracy and timeliness of data acquisition, and also enabling the sales monitoring unit, the health assessment unit and the delivery risk unit to accurately calculate a sales coefficient, an inventory health index and a delivery risk index respectively, and the comprehensive analysis unit to operate a comprehensive early warning index, so that the dynamic control of the inventory state is realized, managers can real-timely master the hardware sales efficiency, the inventory health degree and the stability of supplier delivery, and the hysteresis of traditional management is broken.

Description

Technical Field

[0001] This invention relates to the field of inventory management technology, and in particular to a cloud computing-based intelligent inventory early warning and query system for computer hardware. Background Technology

[0002] Computer hardware, as a core foundational component of the information technology industry, encompasses various core components and peripheral devices such as CPUs, motherboards, memory, and hard drives. Its applications have penetrated into multiple fields, including enterprise offices, industrial production, and public services. With the deepening of digital transformation, the market demand for computer hardware continues to rise, and the categories are becoming increasingly complex. Cloud computing technology, as the core support of the new generation of information technology, has been widely used in various industry management scenarios due to its advantages such as distributed architecture, elastic expansion, massive data processing, and on-demand services. It provides strong technical support for the intelligent upgrading of traditional management models. It can break the resource limitations of localized deployment, realize cross-regional data collaboration and efficient computing, and provide accurate and real-time data analysis capabilities for complex inventory management scenarios.

[0003] However, with the rapid development of the computer hardware industry, computer hardware inventory management is facing increasingly complex challenges. Traditional computer hardware inventory management relies heavily on manual inventory counting and experience-based judgment, which is not only inefficient and prone to counting errors, but also makes it difficult to achieve dynamic control over inventory status. Over-reliance on the experience of staff leads to insufficient timeliness and accuracy in management.

[0004] To address the aforementioned technical deficiencies, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to address the problem that traditional computer hardware inventory management relies heavily on manual counting and experience-based judgment, which not only results in low inventory efficiency and easy counting errors, but also makes it difficult to achieve dynamic control over inventory status and leads to insufficient timeliness and accuracy due to over-reliance on the experience of staff.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: a cloud computing-based intelligent early warning and query system for computer hardware inventory, comprising a data acquisition unit, a sales monitoring unit, a health assessment unit, a delivery risk unit, and a comprehensive analysis unit; The data acquisition unit is used to collect data on the inventory duration of computer hardware, sales volume of computer hardware, delivery data from suppliers, and health data of computer hardware through an inventory database and sensor array. It also classifies the stored computer hardware, sends sales volume data to the sales monitoring unit, health data to the health assessment unit, and delivery data to the delivery risk unit. The sales monitoring unit is used to acquire sales data, perform analysis and calculations, and derive the sales coefficient for computer hardware. The health assessment unit is used to acquire health data, perform analysis and calculations to derive the inventory health index of computer hardware, and classify the health status of computer hardware. The delivery risk unit is used to acquire delivery data, perform analysis and calculations to derive the supplier's delivery risk index, which is used to assess the supplier's ability to deliver computer hardware. The comprehensive analysis unit is used to obtain sales coefficients, inventory health index, and delivery risk index. It combines inventory data for analysis and calculation to derive a comprehensive early warning index for computer hardware inventory and classify the inventory status of computer hardware.

[0007] Furthermore, the system also includes an intelligent early warning unit, which is used to trigger an abnormality warning when there is an anomaly in the computer hardware inventory and send the abnormality information to the early warning query terminal. At the same time, the early warning query terminal displays the sales coefficient, inventory health index, delivery risk index, comprehensive early warning index, and data collected by the data acquisition unit.

[0008] Furthermore, the process of classifying and storing inventory computer hardware involves: obtaining the inventory duration of the computer hardware. and compared with the preset inventory duration threshold. Comparative analysis, when At that time, the inventory of computer hardware was classified as short-term storage. At that time, the inventory of computer hardware was categorized into medium-term storage. At that time, the inventory of computer hardware was classified as long-term storage.

[0009] Furthermore, the calculation process for the sales coefficient of computer hardware is as follows: S11. Obtain and analyze sales data for computer hardware. S12. Analyze the sales coefficient of computer hardware using the following formula. : in, For historical computer hardware, the number of sales samples per unit sales cycle. This represents the highest sales volume in the history of computer hardware. For computer hardware stored for short-term historical purposes, in the first Sales volume in the second sales sample Computer hardware stored in the mid-historical period, in the first Sales volume in the second sales sample For computer hardware stored for a long period of history, in the first Sales volume in the second sales sample The preset short-term storage weighting coefficient, The preset weighting coefficients are stored in the intermediate period. The sales coefficient is a preset weighting factor for long-term storage. The larger the value of the sales coefficient of computer hardware, the higher the sales efficiency of computer hardware, that is, the larger the sales volume within the sales cycle. Conversely, the smaller the sales coefficient, the lower the sales efficiency of computer hardware, that is, the lower the sales volume within the sales cycle.

[0010] Furthermore, the calculation process for the inventory health index of computer hardware is as follows: S21. Acquire and analyze health data of computer hardware, including temperature and humidity of the surrounding environment of the stored computer hardware and vibration intensity data of the computer hardware. S22. Calculate the inventory health index of computer hardware using the following formula. : in, The temperature value of the environment surrounding the stored computer hardware. The humidity level of the environment surrounding the stored computer hardware. The vibration intensity on the stored computer hardware, The preset standard temperature value for the storage environment. The preset standard humidity value for the storage environment. This is the maximum vibration intensity that is allowed on the computer hardware by default. S23. Obtain the preset inventory health threshold. The health index of computer hardware inventory Comparative analysis, when If this occurs, it indicates that the health of the computer hardware in stock is low, which will trigger the intelligent early warning unit to issue an abnormal warning and send the abnormal information to the early warning query terminal. S24, when If the condition is met, it indicates that the health of the computer hardware in stock is high and will not trigger the intelligent warning unit.

[0011] Furthermore, the calculation process for the supplier's delivery risk index is as follows: S31. Obtain and analyze the supplier's delivery data. The delivery data includes the quantity of computer hardware delivered by the supplier, the delivery time of the supplier, and the financial health data of the supplier. The financial health of the supplier is obtained by comprehensively evaluating the debt-to-equity ratio, current ratio, and cash flow status obtained from the supplier's annual report and financial statements, and obtaining the financial health of the supplier through a scale. S32. Calculate the supplier's delivery risk index according to the following formula. : in, The number of times computer hardware deliveries were sampled from historical suppliers. For the first time in history The actual volume of computer hardware delivered by the secondary supplier. For the first time in history The standard delivery volume for secondary suppliers of computer hardware. The actual average delivery volume of computer hardware to historical suppliers. To ensure the supplier's transparent financial health. The number of times computer hardware was delivered on time by a historical supplier. The higher the value of the delivery risk index, the worse the delivery capability and the more unstable the supplier's supply chain for computer hardware, based on the preset standard of financial health. S33. Obtain the preset delivery risk threshold. Delivery risk index with suppliers Comparative analysis, when If this occurs, it indicates that the supplier has poor delivery capabilities and that the supplier's supply chain for computer hardware is unstable. S34, when If the supply chain is strong, it indicates that the supplier has strong delivery capabilities and the supply chain is stable.

[0012] Furthermore, the calculation process for the comprehensive early warning index of computer hardware inventory is as follows: S41. Obtain the sales coefficient, inventory health index, and delivery risk index, and analyze and calculate them in conjunction with inventory data; S42. Calculate the comprehensive early warning index of computer hardware inventory according to the following formula. : in, This represents the sales coefficient for computer hardware. A health index for computer hardware inventory. This is the supplier's delivery risk index. This refers to the actual inventory of computer hardware. Standard inventory of computer hardware The preset inventory health threshold, This is a preset delivery risk threshold; S43. Obtain the preset comprehensive early warning threshold. A comprehensive early warning index for computer hardware inventory Comparative analysis, when At that time, the computer hardware inventory status will be classified as normal inventory status, and no abnormal warning will be issued; S44, when When the computer hardware inventory status is classified as abnormal, the intelligent early warning unit will be triggered to issue an abnormal warning and send the abnormal information to the early warning query terminal, which will then arrange for staff to handle the abnormal inventory status.

[0013] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are: This cloud-based intelligent early warning and query system for computer hardware inventory automatically collects multi-dimensional data such as inventory duration, sales volume, delivery, and health through a data acquisition unit combined with an inventory database and sensor array. This replaces traditional manual inventory counting and experience-based judgment, significantly improving inventory efficiency, reducing counting errors, and ensuring the accuracy and timeliness of data collection. Furthermore, the system can accurately calculate sales coefficients, inventory health indices, and delivery risk indices through sales monitoring, health assessment, and delivery risk units, respectively. Combined with the comprehensive early warning index calculation by the comprehensive analysis unit, it achieves dynamic control over inventory status, allowing managers to monitor hardware sales efficiency, inventory health, and supplier delivery stability in real time, overcoming the lag in traditional management. Simultaneously, the intelligent early warning unit promptly triggers alerts when inventory anomalies occur, synchronizing key data to the query terminal to help staff quickly locate and address problems, further improving management response speed. Attached Figure Description

[0014] Figure 1 A schematic diagram of the system flow of the present invention is shown. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] Example: like Figure 1 As shown, the cloud-based intelligent early warning and query system for computer hardware inventory first uses a data acquisition unit to collect data on the inventory duration, sales volume, supplier delivery, and health of computer hardware through an inventory database and sensor array. The system then categorizes the stored computer hardware, sends the sales volume data to the sales monitoring unit, the health data to the health assessment unit, and the delivery data to the delivery risk unit. The process of classifying and storing computer hardware inventory involves: obtaining the inventory duration of the computer hardware. and compared with the preset inventory duration threshold. Comparative analysis, when At that time, the inventory of computer hardware was classified as short-term storage. At that time, the inventory of computer hardware was categorized into medium-term storage. At that time, the inventory of computer hardware was classified as long-term storage.

[0017] Then, sales data is obtained through the sales monitoring unit and analyzed to obtain the sales coefficient of computer hardware; The calculation process for the sales coefficient of computer hardware is as follows: S11. Obtain and analyze sales data for computer hardware. S12. Analyze the sales coefficient of computer hardware using the following formula. : in, For historical computer hardware, the number of sales samples per unit sales cycle (the unit sales cycle is preset by staff; common unit sales cycles can be set to one month, one quarter, or one year). This represents the highest sales volume in the history of computer hardware. For computer hardware stored for short-term historical purposes, in the first Sales volume in the second sales sample Computer hardware stored in the mid-historical period, in the first Sales volume in the second sales sample For computer hardware stored for a long period of history, in the first Sales volume in the second sales sample The preset short-term storage weighting coefficient, The preset weighting coefficients are stored in the intermediate period. The preset weighting coefficients for long-term storage are based on the fact that the longer computer hardware is stored in inventory, the more easily it ages, thus affecting its sales competitiveness and necessitating price reductions. Therefore, the weighting coefficients are set accordingly. ,and The higher the sales coefficient of computer hardware, the higher the sales efficiency of the computer hardware, that is, the greater the sales volume within the sales cycle. Conversely, the lower the sales coefficient, the lower the sales efficiency of the computer hardware, that is, the lower the sales volume within the sales cycle.

[0018] Then, health data is obtained through the health assessment unit, and analyzed and calculated to obtain the inventory health index of computer hardware, and the health status of computer hardware is classified. The calculation process for the inventory health index of computer hardware is as follows: S21. Acquire and analyze health data of computer hardware, including temperature and humidity of the surrounding environment of the stored computer hardware and vibration intensity data of the computer hardware. S22. Calculate the inventory health index of computer hardware using the following formula. : in, The temperature value of the environment surrounding the stored computer hardware. The humidity level of the environment surrounding the stored computer hardware. The vibration intensity on the stored computer hardware, The preset standard temperature value for the storage environment. The preset standard humidity value for the storage environment. This is the maximum vibration intensity that is allowed on the computer hardware by default. S23. Obtain the preset inventory health threshold. The health index of computer hardware inventory Comparative analysis, when If the health status of the computer hardware in stock is low, it will trigger the intelligent early warning unit to issue an abnormal warning and send the abnormal information to the early warning query terminal. This indicates that the health deterioration of the computer hardware during the stock period will become more and more serious. Staff will be dispatched to deal with the stock conditions of the computer hardware (such as adjusting the temperature and humidity around the stock and investigating the source of vibration on the computer hardware) in order to reduce the health deterioration of the computer hardware during the stock period. S24, when If the condition is met, it indicates that the health of the computer hardware in stock is high and will not trigger the intelligent warning unit.

[0019] Then, delivery data is obtained through the delivery risk unit and analyzed to derive the supplier's delivery risk index, which is used to assess the supplier's ability to deliver computer hardware. The calculation process for the supplier's delivery risk index is as follows: S31. Obtain and analyze the supplier's delivery data. The delivery data includes the quantity of computer hardware delivered by the supplier, the delivery time of the supplier, and the financial health data of the supplier. The financial health of the supplier is obtained by comprehensively evaluating the debt-to-equity ratio, current ratio, and cash flow status obtained from the supplier's annual report and financial statements. The financial health of the supplier is obtained through a scale. The higher the financial health value, the healthier the financial condition of the supplier. S32. Calculate the supplier's delivery risk index according to the following formula. : in, The number of times computer hardware deliveries were sampled from historical suppliers. For the first time in history The actual volume of computer hardware delivered by the secondary supplier. For the first time in history The standard delivery volume for secondary suppliers of computer hardware. The actual average delivery volume of computer hardware to historical suppliers. To ensure the supplier's transparent financial health. The number of times computer hardware was delivered on time by a historical supplier. The higher the value of the delivery risk index, the worse the delivery capability and the more unstable the supplier's supply chain for computer hardware, based on the preset standard of financial health. S33. Obtain the preset delivery risk threshold. Delivery risk index with suppliers Comparative analysis, when If this occurs, it indicates that the supplier has poor delivery capabilities and an unstable supply chain for computer hardware. Contingency plans need to be developed to prevent disruptions in the supply chain for computer hardware. S34, when If the supply chain is strong, it indicates that the supplier has strong delivery capabilities and the supply chain is stable.

[0020] Finally, the sales coefficient, inventory health index and delivery risk index are obtained through the comprehensive analysis unit. Combined with inventory data, the comprehensive early warning index of computer hardware inventory is obtained and the status of computer hardware inventory is classified. The calculation process for the comprehensive early warning index of computer hardware inventory is as follows: S41. Obtain the sales coefficient, inventory health index, and delivery risk index, and analyze and calculate them in conjunction with inventory data; S42. Calculate the comprehensive early warning index of computer hardware inventory according to the following formula. : in, This represents the sales coefficient for computer hardware. A health index for computer hardware inventory. This is the supplier's delivery risk index. This refers to the actual inventory of computer hardware. Standard inventory of computer hardware The preset inventory health threshold, This is a preset delivery risk threshold; S43. Obtain the preset comprehensive early warning threshold. A comprehensive early warning index for computer hardware inventory Comparative analysis, when At that time, the computer hardware inventory status will be classified as normal inventory status, and no abnormal warning will be issued; S44, when When computer hardware inventory is classified as abnormal, the intelligent early warning unit will issue an alert and send the abnormal information to the early warning query terminal. Staff will then be assigned to address the abnormal inventory status (e.g., reducing the selling price of the computer hardware, increasing sales volume, improving inventory conditions, or collaborating with suppliers with strong delivery capabilities). Simultaneously, the intelligent early warning unit can display sales coefficients, inventory health index, delivery risk index, comprehensive early warning index, and data collected by the data acquisition unit on the early warning query terminal, facilitating staff inquiries and decision-making.

[0021] This invention utilizes a data acquisition unit combined with an inventory database and sensor array to automatically collect multi-dimensional data such as inventory duration, sales volume, delivery, and health status. This replaces traditional manual inventory counting and experience-based judgment, significantly improving inventory efficiency, reducing counting errors, and ensuring the accuracy and timeliness of data collection. Furthermore, through a sales monitoring unit, health assessment unit, and delivery risk unit, it accurately calculates sales coefficients, inventory health indices, and delivery risk indices, respectively. Combined with the comprehensive analysis unit's comprehensive early warning index calculation, it achieves dynamic control over inventory status, allowing managers to monitor hardware sales efficiency, inventory health, and supplier delivery stability in real time, overcoming the lag inherent in traditional management. Simultaneously, the intelligent early warning unit promptly triggers alerts when inventory anomalies occur, synchronizing key data to the query terminal to help staff quickly locate and address problems, further improving management response speed.

[0022] The size of the interval and threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by those skilled in the art for each set of sample data; as long as it does not affect the ratio between the parameter and the quantized value.

[0023] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation. The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A cloud-based intelligent early warning and query system for computer hardware inventory, characterized in that: It includes a data acquisition unit, a sales monitoring unit, a health assessment unit, a delivery risk unit, and a comprehensive analysis unit; The data acquisition unit is used to collect data on the inventory duration of computer hardware, sales volume of computer hardware, delivery data from suppliers, and health data of computer hardware through an inventory database and sensor array. It also classifies the stored computer hardware, sends sales volume data to the sales monitoring unit, health data to the health assessment unit, and delivery data to the delivery risk unit. The sales monitoring unit is used to acquire sales data, perform analysis and calculations, and derive the sales coefficient for computer hardware. The health assessment unit is used to acquire health data, perform analysis and calculations to derive the inventory health index of computer hardware, and classify the health status of computer hardware. The delivery risk unit is used to acquire delivery data, perform analysis and calculations to derive the supplier's delivery risk index, which is used to assess the supplier's ability to deliver computer hardware. The comprehensive analysis unit is used to obtain sales coefficients, inventory health index, and delivery risk index. It combines inventory data for analysis and calculation to derive a comprehensive early warning index for computer hardware inventory and classify the inventory status of computer hardware.

2. The intelligent early warning and query system for computer hardware inventory based on cloud computing according to claim 1, characterized in that, The system also includes an intelligent early warning unit, which is used to trigger an abnormality warning when there is an anomaly in the computer hardware inventory and send the abnormality information to the early warning query terminal. At the same time, the early warning query terminal displays the sales coefficient, inventory health index, delivery risk index, comprehensive early warning index and data collected by the data acquisition unit.

3. The intelligent early warning and query system for computer hardware inventory based on cloud computing according to claim 1, characterized in that, The process of classifying and storing computer hardware inventory involves: obtaining the inventory duration of the computer hardware. and compared with the preset inventory duration threshold. Comparative analysis, when At that time, the inventory of computer hardware was classified as short-term storage. At that time, the inventory of computer hardware was categorized into medium-term storage. At that time, the inventory of computer hardware was classified as long-term storage.

4. The intelligent early warning and query system for computer hardware inventory based on cloud computing according to claim 1, characterized in that, The calculation process for the sales coefficient of computer hardware is as follows: S11. Obtain and analyze sales data for computer hardware. S12. Analyze the sales coefficient of computer hardware using the following formula. : in, For historical computer hardware, the number of sales samples per unit sales cycle. This represents the highest sales volume in the history of computer hardware. For computer hardware stored for short-term historical purposes, in the first Sales volume in the second sales sample Computer hardware stored in the mid-historical period, in the first Sales volume in the second sales sample For computer hardware stored for a long period of history, in the first Sales volume in the second sales sample The preset short-term storage weighting coefficient, The preset weighting coefficients are stored in the intermediate period. The sales coefficient is a preset weighting factor for long-term storage. The larger the value of the sales coefficient of computer hardware, the higher the sales efficiency of computer hardware, that is, the larger the sales volume within the sales cycle. Conversely, the smaller the sales coefficient, the lower the sales efficiency of computer hardware, that is, the lower the sales volume within the sales cycle.

5. The intelligent early warning and query system for computer hardware inventory based on cloud computing according to claim 1, characterized in that, The calculation process for the inventory health index of computer hardware is as follows: S21. Acquire and analyze health data of computer hardware, including temperature and humidity of the surrounding environment of the stored computer hardware and vibration intensity data of the computer hardware. S22. Calculate the inventory health index of computer hardware using the following formula. : in, The temperature value of the environment surrounding the stored computer hardware. The humidity level of the environment surrounding the stored computer hardware. The vibration intensity on the stored computer hardware, The preset standard temperature value for the storage environment. The preset standard humidity value for the storage environment. This is the maximum vibration intensity that is allowed on the computer hardware by default. S23. Obtain the preset inventory health threshold. The health index of computer hardware inventory Comparative analysis, when If this occurs, it indicates that the health of the computer hardware in stock is low, which will trigger the intelligent early warning unit to issue an abnormal warning and send the abnormal information to the early warning query terminal. S24, when If the condition is met, it indicates that the health of the computer hardware in stock is high and will not trigger the intelligent warning unit.

6. The intelligent early warning and query system for computer hardware inventory based on cloud computing according to claim 1, characterized in that, The calculation process for the supplier's delivery risk index is as follows: S31. Obtain and analyze the supplier's delivery data. The delivery data includes the quantity of computer hardware delivered by the supplier, the delivery time of the supplier, and the financial health data of the supplier. The financial health of the supplier is obtained by comprehensively evaluating the debt-to-equity ratio, current ratio, and cash flow status obtained from the supplier's annual report and financial statements, and obtaining the financial health of the supplier through a scale. S32. Calculate the supplier's delivery risk index according to the following formula. : in, The number of times computer hardware deliveries were sampled from historical suppliers. For the first time in history The actual volume of computer hardware delivered by the secondary supplier. For the first time in history The standard delivery volume for secondary suppliers of computer hardware. The actual average delivery volume of computer hardware to historical suppliers. To ensure the supplier's transparent financial health. The number of times computer hardware was delivered on time by a historical supplier. The higher the value of the delivery risk index, the worse the delivery capability and the more unstable the supplier's supply chain for computer hardware, based on the preset standard of financial health. S33. Obtain the preset delivery risk threshold. Delivery risk index with suppliers Comparative analysis, when If this occurs, it indicates that the supplier has poor delivery capabilities and that the supplier's supply chain for computer hardware is unstable. S34, when If the supply chain is strong, it indicates that the supplier has strong delivery capabilities and the supply chain is stable.

7. The intelligent early warning and query system for computer hardware inventory based on cloud computing according to claim 1, characterized in that, The calculation process for the comprehensive early warning index of computer hardware inventory is as follows: S41. Obtain the sales coefficient, inventory health index, and delivery risk index, and analyze and calculate them in conjunction with inventory data; S42. Calculate the comprehensive early warning index of computer hardware inventory according to the following formula. : in, This represents the sales coefficient for computer hardware. A health index for computer hardware inventory. This is the supplier's delivery risk index. This refers to the actual inventory of computer hardware. Standard inventory of computer hardware The preset inventory health threshold, This is a preset delivery risk threshold; S43. Obtain the preset comprehensive early warning threshold. A comprehensive early warning index for computer hardware inventory Comparative analysis, when At that time, the computer hardware inventory status will be classified as normal inventory status, and no abnormal warning will be issued; S44, when When the computer hardware inventory status is classified as abnormal, the intelligent early warning unit will be triggered to issue an abnormal warning and send the abnormal information to the early warning query terminal, which will then arrange for staff to handle the abnormal inventory status.

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