Management system and method for construction device

Abstract

The invention relates to the technical field of device management, and discloses a management system and method for a construction device, and the system comprises an acquisition module which determines the lowest safety stock threshold value of a to-be-managed construction device according to historical consumption data, replenishment period data and expected stock stockout probability data; the judging module is used for judging whether to adjust the minimum safe inventory threshold value or not according to the use frequency; the adjustment module compares the construction demand data with historical data, and then adjusts the minimum safety stock threshold value; the processing module is used for calculating the similarity between the fault frequency data and the historical fault frequency data and adjusting the minimum safety stock threshold value according to the similarity to obtain the adjusted minimum safety stock threshold value; and the early warning module is configured to collect real-time inventory data of the to-be-managed construction device and judge whether inventory early warning is carried out or not. According to the invention, the inventory of the construction device can be effectively managed, and the continuity and efficiency of the construction process are ensured.

Description

Technical Field

[0001] The present invention belongs to the technical field of device management, and in particular, relates to a management system and method for construction devices. Background Art

[0002] There are some significant problems on the current construction site, which are mainly reflected in many aspects. First, the management efficiency of construction equipment is low, which leads to many inconveniences in the use and maintenance of equipment, thus affecting the overall construction progress. Secondly, the inventory early warning system is not timely enough, which makes it impossible to effectively monitor and manage the materials and equipment required for construction, which may lead to material shortages, thus affecting the construction progress and the rational use of resources. The existence of these problems not only has a negative impact on the construction progress, but also may lead to waste of resources, increase construction costs, and affect the economic benefits of the entire project.

[0003] Therefore, it is necessary to design a management system and method for construction equipment to solve the problems existing in the current technology. Summary of the invention

[0004] In view of this, the present invention proposes a management system and method for construction equipment, aiming to solve the problem that materials and equipment required for construction cannot be effectively monitored and managed.

[0005] In one aspect, the present invention provides a management system for a construction device, comprising:

[0006] A collection module is configured to determine the construction equipment to be managed in the construction area, collect historical consumption data, replenishment cycle data and expected inventory shortage probability data of the construction equipment to be managed, and determine the minimum safety inventory threshold of the construction equipment to be managed according to the historical consumption data, replenishment cycle data and expected inventory shortage probability data;

[0007] A judgment module is configured to collect the usage frequency of the construction device to be managed, and judge whether to adjust the minimum safety stock threshold according to the usage frequency;

[0008] an adjustment module, configured to control the acquisition module to acquire the construction demand data of the construction device to be managed, compare the construction demand data with the historical data, and adjust the minimum safety stock threshold according to the comparison result when it is determined that the minimum safety stock threshold is to be adjusted;

[0009] The processing module is configured to control the acquisition module to acquire the fault frequency data of the construction device to be managed, and calculate the similarity between the fault frequency data and the historical fault frequency data, and adjust the minimum safety stock threshold according to the similarity to obtain the adjusted minimum safety stock threshold when there is no data identical to the construction demand data in the historical data;

[0010] The early warning module is configured to collect real-time inventory data of the construction equipment to be managed, and determine whether to issue an inventory early warning based on the real-time inventory data.

[0011] Further, when determining the minimum safety stock threshold of the construction equipment to be managed according to the historical consumption data, the replenishment cycle data and the expected inventory shortage probability data, it includes:

[0012] The minimum safety stock threshold is obtained by the following formula:

[0013]

[0014] Among them, S represents the minimum safety stock threshold, D represents the historical average daily consumption, T represents the historical replenishment cycle, and P represents the expected inventory out-of-stock probability.

[0015] Further, judging whether to adjust the minimum safety stock threshold according to the usage frequency includes:

[0016] Comparing the usage frequency with the usage frequency threshold, and determining whether to adjust the minimum safety stock threshold according to the comparison result;

[0017] When the usage frequency is greater than or equal to the usage frequency threshold, determining to adjust the minimum safety stock threshold;

[0018] When the usage frequency is less than the usage frequency threshold, it is determined not to adjust the minimum safety stock threshold.

[0019] Furthermore, the construction demand data is compared with the historical data, and the minimum safety stock threshold is adjusted according to the comparison result, including:

[0020] When there is historical demand data identical to the construction demand data in the historical data, an adjustment coefficient is calculated based on the historical demand data to adjust the minimum safety stock threshold;

[0021] When there is no data identical to the construction demand data in the historical data, the failure frequency data of the construction device to be managed is collected, and the similarity between the failure frequency data and the historical failure frequency data is calculated, and the minimum safety stock threshold is adjusted according to the similarity.

[0022] Further, when the adjustment coefficient is calculated based on the historical demand data to adjust the minimum safety stock threshold, it includes:

[0023] Establishing a historical demand data set according to the time series and the historical demand data, and calculating a historical demand fluctuation value according to the historical demand data set; wherein the historical demand fluctuation value is the difference between the current cycle demand data and the previous cycle demand data;

[0024] Calculate the primary adjustment coefficient according to the historical demand fluctuation value, and use the product of the primary adjustment coefficient and the minimum safety stock threshold as the adjusted minimum safety stock threshold;

[0025] The primary adjustment coefficient is obtained by the following formula:

[0026]

[0027] Among them, K1 represents the primary adjustment coefficient, D t is the characteristic value of demand in the current period, D t-T is the demand characteristic value of the previous period, D avg The historical demand average.

[0028] Further, calculating the similarity between the fault frequency data and the historical fault frequency data, and adjusting the minimum safety stock threshold according to the similarity includes:

[0029] The similarity is obtained according to the following formula:

[0030]

[0031] Among them, Sim represents similarity, F c，i represents the i-th fault frequency data, F h，i represents the i-th historical fault frequency data, and n represents the total number of fault frequency data.

[0032] Further, when the minimum safety stock threshold is adjusted according to the similarity, it includes:

[0033] Presetting a secondary adjustment coefficient interval, wherein the secondary adjustment coefficient interval includes a secondary first adjustment coefficient, a secondary second adjustment coefficient and a secondary third adjustment coefficient;

[0034] Calculating a similarity ratio between the similarity and a similarity threshold;

[0035] When the similarity ratio is less than 1.1, the quadratic first adjustment coefficient is selected as the adjustment coefficient corresponding to the minimum safety stock threshold, and the product value of the quadratic first adjustment coefficient and the minimum safety stock threshold is used as the adjusted minimum safety stock threshold;

[0036] When the similarity ratio is greater than or equal to 1.1 and less than 1.35, the quadratic second adjustment coefficient is selected as the adjustment coefficient corresponding to the minimum safety stock threshold, and the product value of the quadratic second adjustment coefficient and the minimum safety stock threshold is used as the adjusted minimum safety stock threshold;

[0037] When the similarity ratio is greater than 1.35, the quadratic third adjustment coefficient is selected as the adjustment coefficient corresponding to the minimum safety stock threshold, and the product value of the quadratic third adjustment coefficient and the minimum safety stock threshold is used as the adjusted minimum safety stock threshold.

[0038] Further, when determining whether to issue an inventory warning based on the real-time inventory data, it includes:

[0039] When the real-time inventory data is greater than or equal to the adjusted minimum safety inventory threshold, it is determined that no inventory warning is issued;

[0040] When the real-time inventory data is less than the adjusted minimum safety inventory threshold, it is determined that an inventory warning is to be issued, and a warning level is determined according to the real-time inventory data.

[0041] Furthermore, when determining the warning level according to the real-time inventory data, it includes:

[0042] Calculating the inventory difference between the real-time inventory data and the adjusted minimum safety inventory threshold, comparing the inventory difference with a first inventory difference threshold and a second inventory difference threshold, and determining a warning level according to the comparison result; wherein the first inventory difference threshold is less than the second inventory difference threshold;

[0043] When the inventory difference is less than or equal to the first inventory difference threshold, determining that the warning level is the first level;

[0044] When the inventory difference is greater than the first inventory difference threshold and less than or equal to the second inventory difference threshold, determining that the warning level is the second level;

[0045] When the inventory difference is greater than the second inventory difference threshold, the warning level is determined to be the second level.

[0046] Compared with the prior art, the beneficial effects of the present invention are as follows: the acquisition module of the present invention is used to determine the minimum safety stock threshold based on the collected data, which is the basis for the system to carry out inventory management. The judgment module is responsible for monitoring the frequency of use of the construction equipment to determine whether it is necessary to dynamically adjust the minimum safety stock threshold. The adjustment module ensures that the inventory level matches the actual demand by comparing the construction demand data with the historical data. When the historical data cannot provide sufficient information, the processing module further optimizes the inventory threshold by analyzing the fault frequency data. The early warning module monitors the inventory situation in real time. Once it is found that the inventory is lower than the minimum safety stock threshold, an early warning is immediately issued to replenish the inventory in time to avoid construction interruption. Through the collaborative work of these modules, the system can effectively manage the inventory of construction equipment and ensure the continuity and efficiency of the construction process.

[0047] In another aspect, the present invention further provides a management method for a construction device, comprising the following steps:

[0048] S100: Determine the construction equipment to be managed in the construction area, collect historical consumption data, replenishment cycle data and expected inventory out-of-stock probability data of the construction equipment to be managed, and determine the minimum safety inventory threshold of the construction equipment to be managed according to the historical consumption data, replenishment cycle data and expected inventory out-of-stock probability data;

[0049] S200: collecting the usage frequency of the construction device to be managed, and determining whether to adjust the minimum safety stock threshold according to the usage frequency;

[0050] S300: When it is determined that the minimum safety stock threshold is to be adjusted, the construction demand data of the construction device to be managed is collected, and the construction demand data is compared with the historical data, and the minimum safety stock threshold is adjusted according to the comparison result;

[0051] S400: When the historical data does not contain data identical to the construction demand data, the fault frequency data of the construction device to be managed is collected, and the similarity between the fault frequency data and the historical fault frequency data is calculated, and the minimum safety stock threshold is adjusted according to the similarity to obtain the adjusted minimum safety stock threshold;

[0052] S500: Collecting real-time inventory data of the construction equipment to be managed, and determining whether to issue an inventory warning based on the real-time inventory data.

[0053] It is understandable that the above-mentioned management system and method for construction equipment have the same beneficial effects, which will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0055] Figure 1 A structural block diagram of a management system for a construction device provided by an embodiment of the present invention;

[0056] Figure 2 A flowchart of a management method for construction equipment provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0057] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0058] See also Figure 1 As shown, in some embodiments of the present application, this embodiment provides a management system for a construction device, including:

[0059] A collection module is configured to determine the construction equipment to be managed in the construction area, collect historical consumption data, replenishment cycle data and expected inventory shortage probability data of the construction equipment to be managed, and determine the minimum safety inventory threshold of the construction equipment to be managed according to the historical consumption data, replenishment cycle data and expected inventory shortage probability data;

[0060] A judgment module is configured to collect the usage frequency of the construction device to be managed, and judge whether to adjust the minimum safety stock threshold according to the usage frequency;

[0061] an adjustment module, configured to control the acquisition module to acquire the construction demand data of the construction device to be managed, compare the construction demand data with the historical data, and adjust the minimum safety stock threshold according to the comparison result when it is determined that the minimum safety stock threshold is to be adjusted;

[0062] The processing module is configured to control the acquisition module to acquire the fault frequency data of the construction device to be managed, and calculate the similarity between the fault frequency data and the historical fault frequency data, and adjust the minimum safety stock threshold according to the similarity to obtain the adjusted minimum safety stock threshold when there is no data identical to the construction demand data in the historical data;

[0063] The early warning module is configured to collect real-time inventory data of the construction equipment to be managed, and determine whether to issue an inventory early warning based on the real-time inventory data.

[0064] In this embodiment, the historical consumption data refers to the consumption records of the construction equipment in a specific time period. By analyzing these historical consumption data, the consumption trend in the future period can be predicted, thereby providing a basis for inventory management.

[0065] In this embodiment, the replenishment cycle data reflects the time required for the construction device to send out a replenishment request and receive the new goods.

[0066] In this embodiment, the expected inventory out-of-stock probability data is calculated by analyzing historical replenishment cycle data and actual usage of the construction equipment.

[0067] In this embodiment, the minimum safety stock threshold refers to the lower limit of the stock without considering any unexpected circumstances, ensuring that the normal operation of the construction equipment will not be affected by shortage of stock.

[0068] In this embodiment, the adjustment of the minimum safety stock threshold is based on the analysis of real-time data and historical data to adapt to changes in actual usage and ensure that the inventory level can meet demand without causing excessive backlogs.

[0069] It can be understood that the acquisition module is used to determine the minimum safety stock threshold based on the collected data, which is the basis for the system to manage inventory. The judgment module is responsible for monitoring the frequency of use of construction equipment to determine whether the minimum safety stock threshold needs to be dynamically adjusted. The adjustment module ensures that the inventory level matches the actual demand by comparing the construction demand data with the historical data. When the historical data cannot provide sufficient information, the processing module further optimizes the inventory threshold by analyzing the fault frequency data. The early warning module monitors the inventory situation in real time. Once it is found that the inventory is lower than the minimum safety stock threshold, an early warning will be issued immediately to replenish the inventory in time to avoid construction interruption. Through the collaborative work of these modules, this system can effectively manage the inventory of construction equipment and ensure the continuity and efficiency of the construction process.

[0070] Specifically, when determining the minimum safety inventory threshold of the construction equipment to be managed according to the historical consumption data, the replenishment cycle data and the expected inventory out-of-stock probability data, it includes:

[0071] The minimum safety stock threshold is obtained by the following formula:

[0072]

[0073] Among them, S represents the minimum safety stock threshold, D represents the historical average daily consumption, T represents the historical replenishment cycle, and P represents the expected inventory out-of-stock probability.

[0074] It can be seen that the formula takes into account the average value of historical consumption, replenishment cycle, and expected out-of-stock probability to calculate a reasonable inventory threshold. Through such calculation, it can ensure that construction equipment has sufficient inventory at any point in time to meet construction needs, while avoiding excessive inventory backlogs, thereby optimizing inventory management.

[0075] Specifically, judging whether to adjust the minimum safety stock threshold according to the usage frequency includes:

[0076] Comparing the usage frequency with the usage frequency threshold, and determining whether to adjust the minimum safety stock threshold according to the comparison result;

[0077] When the usage frequency is greater than or equal to the usage frequency threshold, determining to adjust the minimum safety stock threshold;

[0078] When the usage frequency is less than the usage frequency threshold, it is determined not to adjust the minimum safety stock threshold.

[0079] It can be seen that the setting of the usage frequency threshold is based on an in-depth analysis of the usage pattern of construction equipment, ensuring that the inventory level is adjusted in a timely manner when the usage frequency is high, and avoiding unnecessary inventory adjustments when the usage frequency is low, thereby reducing management costs and waste of resources.

[0080] Specifically, the construction demand data is compared with the historical data, and the minimum safety stock threshold is adjusted according to the comparison result, including:

[0081] When there is historical demand data identical to the construction demand data in the historical data, an adjustment coefficient is calculated based on the historical demand data to adjust the minimum safety stock threshold;

[0082] When there is no data identical to the construction demand data in the historical data, the failure frequency data of the construction device to be managed is collected, and the similarity between the failure frequency data and the historical failure frequency data is calculated, and the minimum safety stock threshold is adjusted according to the similarity.

[0083] In this embodiment, the construction demand data includes but is not limited to: construction task volume, construction progress, construction intensity, etc. These data can provide a detailed description of the demand for construction equipment, making inventory management more accurate and efficient.

[0084] It can be seen that the comparison and analysis of construction demand data is a key step in dynamically adjusting inventory thresholds. By monitoring changes in construction demand in real time, the system can respond to demand fluctuations in a timely manner, thereby avoiding construction delays due to insufficient inventory or waste of resources due to excess inventory. In addition, when there is a large difference between construction demand data and historical data, the system can identify potential risk factors and further optimize inventory management strategies by analyzing fault frequency data. This data-driven inventory management method not only improves the efficiency of construction equipment, but also reduces operating costs and ensures the smooth progress of construction projects.

[0085] Specifically, when the adjustment coefficient is calculated based on the historical demand data to adjust the minimum safety stock threshold, it includes:

[0086] Establishing a historical demand data set according to the time series and the historical demand data, and calculating a historical demand fluctuation value according to the historical demand data set; wherein the historical demand fluctuation value is the difference between the current cycle demand data and the previous cycle demand data;

[0087] Calculate the primary adjustment coefficient according to the historical demand fluctuation value, and use the product of the primary adjustment coefficient and the minimum safety stock threshold as the adjusted minimum safety stock threshold;

[0088] The primary adjustment coefficient is obtained by the following formula:

[0089]

[0090] Among them, K1 represents the primary adjustment coefficient, D t is the characteristic value of demand in the current period, D t-T is the demand characteristic value of the previous period, D avg The historical demand average.

[0091] In this embodiment, the current cycle demand characteristic value is calculated by weighted average of the current cycle's construction task volume, construction progress, and construction intensity; the previous cycle demand characteristic value is calculated by weighted average of the previous cycle's construction task volume, construction progress, and construction intensity; the historical demand average value Davg is calculated by taking the arithmetic average of the demand characteristic values ​​in the past several cycles to reflect the long-term average demand level.

[0092] It can be seen that the calculation method of the adjustment coefficient takes into account the volatility of demand and dynamically adjusts the inventory threshold by comparing demand data from different periods to adapt to changes in construction demand. This calculation method helps the system increase the inventory threshold when demand increases to avoid stockouts; and reduce the inventory threshold when demand decreases to reduce inventory backlogs. Through such dynamic adjustments, the system can respond more flexibly to uncertainties in the construction process and ensure that the supply of construction equipment always keeps pace with demand.

[0093] Specifically, calculating the similarity between the failure frequency data and the historical failure frequency data, and adjusting the minimum safety stock threshold according to the similarity includes:

[0094] The similarity is obtained according to the following formula:

[0095]

[0096] Among them, Sim represents similarity, F c，i represents the i-th fault frequency data, F h，i represents the i-th historical fault frequency data, and n represents the total number of fault frequency data.

[0097] It can be seen that the similarity calculation method evaluates whether the current inventory level is adapted to the construction demand by comparing the similarity between the current fault frequency data and the historical fault frequency data. If the similarity is high, it means that the current inventory level matches the historical situation, and the system will maintain the existing minimum safety stock threshold unchanged; conversely, if the similarity is low, it means that the current inventory level may not be adapted to the new construction demand, and the system will adjust the inventory threshold according to the difference in similarity to ensure that the supply of construction equipment is consistent with demand. In this way, the system can promptly identify and respond to changes in construction demand, thereby improving the efficiency of the use of construction equipment and the overall performance of the construction project.

[0098] Specifically, when adjusting the minimum safety stock threshold according to the similarity, it includes:

[0099] Presetting a secondary adjustment coefficient interval, wherein the secondary adjustment coefficient interval includes a secondary first adjustment coefficient, a secondary second adjustment coefficient and a secondary third adjustment coefficient;

[0100] Calculating a similarity ratio between the similarity and a similarity threshold;

[0101] When the similarity ratio is less than 1.1, the quadratic first adjustment coefficient is selected as the adjustment coefficient corresponding to the minimum safety stock threshold, and the product value of the quadratic first adjustment coefficient and the minimum safety stock threshold is used as the adjusted minimum safety stock threshold;

[0102] When the similarity ratio is greater than or equal to 1.1 and less than 1.35, the quadratic second adjustment coefficient is selected as the adjustment coefficient corresponding to the minimum safety stock threshold, and the product value of the quadratic second adjustment coefficient and the minimum safety stock threshold is used as the adjusted minimum safety stock threshold;

[0103] When the similarity ratio is greater than 1.35, the quadratic third adjustment coefficient is selected as the adjustment coefficient corresponding to the minimum safety stock threshold, and the product value of the quadratic third adjustment coefficient and the minimum safety stock threshold is used as the adjusted minimum safety stock threshold.

[0104] It can be seen that the secondary adjustment coefficient interval is designed to provide flexible inventory management strategies at different similarity levels. The secondary first adjustment coefficient is usually set to a small positive value to fine-tune the inventory level to ensure that the inventory threshold is not over-adjusted when the similarity is slightly low. The secondary second adjustment coefficient is between the first and third adjustment coefficients and is used to make moderate inventory adjustments when the similarity is medium. The secondary third adjustment coefficient is a large positive value, which is used to significantly increase the inventory threshold when the similarity is significantly lower than the historical level to cope with potential supply risks. In this way, the system can take corresponding inventory management measures according to the real-time changes in construction demand, thereby minimizing resource waste while ensuring construction continuity.

[0105] Specifically, judging whether to issue an inventory warning according to the real-time inventory data includes:

[0106] When the real-time inventory data is greater than or equal to the adjusted minimum safety inventory threshold, it is determined that no inventory warning is issued;

[0107] When the real-time inventory data is less than the adjusted minimum safety inventory threshold, it is determined that an inventory warning is to be issued, and a warning level is determined according to the real-time inventory data.

[0108] It can be seen that the system can issue an early warning in time when the inventory level is lower than the safety threshold, reminding managers to pay attention to the inventory status and take corresponding replenishment or adjustment measures. The early warning level can be determined based on the gap between the real-time inventory data and the adjusted minimum safety inventory threshold. The larger the gap, the higher the early warning level, which helps to prioritize those situations where the inventory level is seriously insufficient. Through this real-time monitoring and early warning mechanism, the system can effectively prevent construction delays caused by insufficient inventory and ensure the stability and continuity of the construction progress. In addition, the system can also predict possible inventory shortages in the future based on historical early warning data and the current construction progress, prepare in advance, and further improve the supply guarantee capability of construction equipment.

[0109] Specifically, when determining the warning level according to the real-time inventory data, it includes:

[0110] Calculating the inventory difference between the real-time inventory data and the adjusted minimum safety inventory threshold, comparing the inventory difference with a first inventory difference threshold and a second inventory difference threshold, and determining a warning level according to the comparison result; wherein the first inventory difference threshold is less than the second inventory difference threshold;

[0111] When the inventory difference is less than or equal to the first inventory difference threshold, determining that the warning level is the first level;

[0112] When the inventory difference is greater than the first inventory difference threshold and less than or equal to the second inventory difference threshold, determining that the warning level is the second level;

[0113] When the inventory difference is greater than the second inventory difference threshold, the warning level is determined to be the second level.

[0114] It can be seen that the setting of the warning level is intended to provide a clear indication of the inventory status, so that managers can take appropriate measures according to the different levels of inventory shortage. The first level of warning usually means that the inventory level is close to but not yet below the safety threshold, and regular inventory replenishment can be carried out at this time. The second level of warning indicates that the inventory shortage is already serious and emergency measures need to be taken to replenish the inventory to avoid affecting the construction progress. The third level of warning is a serious warning, indicating that the inventory shortage is very serious and immediate action may be required, and even temporary procurement or deployment of resources may be required to ensure the continuity of construction. Through this hierarchical warning mechanism, the system can not only detect inventory problems in a timely manner, but also guide managers to take appropriate countermeasures, thereby effectively avoiding construction delays caused by insufficient inventory and ensuring the smooth progress of construction projects.

[0115] See also Figure 2 As shown, in some embodiments of the present application, this embodiment provides a management method for a construction device, comprising the following steps:

[0116] S100: Determine the construction equipment to be managed in the construction area, collect historical consumption data, replenishment cycle data and expected inventory out-of-stock probability data of the construction equipment to be managed, and determine the minimum safety inventory threshold of the construction equipment to be managed according to the historical consumption data, replenishment cycle data and expected inventory out-of-stock probability data;

[0117] S200: collecting the usage frequency of the construction device to be managed, and determining whether to adjust the minimum safety stock threshold according to the usage frequency;

[0118] S300: When it is determined that the minimum safety stock threshold is to be adjusted, the construction demand data of the construction device to be managed is collected, and the construction demand data is compared with the historical data, and the minimum safety stock threshold is adjusted according to the comparison result;

[0119] S400: When the historical data does not contain data identical to the construction demand data, the fault frequency data of the construction device to be managed is collected, and the similarity between the fault frequency data and the historical fault frequency data is calculated, and the minimum safety stock threshold is adjusted according to the similarity to obtain the adjusted minimum safety stock threshold;

[0120] S500: Collecting real-time inventory data of the construction equipment to be managed, and determining whether to issue an inventory warning based on the real-time inventory data.

[0121] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0122] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0123] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0124] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0125] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A management system for a construction device, characterized in that: include: A collection module is configured to determine the construction equipment to be managed in the construction area, collect historical consumption data, replenishment cycle data and expected inventory shortage probability data of the construction equipment to be managed, and determine the minimum safety inventory threshold of the construction equipment to be managed according to the historical consumption data, replenishment cycle data and expected inventory shortage probability data; A judgment module is configured to collect the usage frequency of the construction device to be managed, and judge whether to adjust the minimum safety stock threshold according to the usage frequency; an adjustment module, configured to control the acquisition module to acquire the construction demand data of the construction device to be managed, compare the construction demand data with the historical data, and adjust the minimum safety stock threshold according to the comparison result when it is determined that the minimum safety stock threshold is to be adjusted; The processing module is configured to control the acquisition module to acquire the fault frequency data of the construction device to be managed, and calculate the similarity between the fault frequency data and the historical fault frequency data, and adjust the minimum safety stock threshold according to the similarity to obtain the adjusted minimum safety stock threshold when there is no data identical to the construction demand data in the historical data; The early warning module is configured to collect real-time inventory data of the construction equipment to be managed, and determine whether to issue an inventory early warning based on the real-time inventory data.

2. The management system for construction equipment according to claim 1, characterized in that: When determining the minimum safety stock threshold of the construction equipment to be managed according to the historical consumption data, the replenishment cycle data and the expected inventory shortage probability data, it includes: The minimum safety stock threshold is obtained by the following formula: Among them, S represents the minimum safety stock threshold, D represents the historical average daily consumption, T represents the historical replenishment cycle, and P represents the expected inventory out-of-stock probability.

3. The management system for construction equipment according to claim 1, characterized in that: When determining whether to adjust the minimum safety stock threshold according to the usage frequency, it includes: Comparing the usage frequency with the usage frequency threshold, and determining whether to adjust the minimum safety stock threshold according to the comparison result; When the usage frequency is greater than or equal to the usage frequency threshold, determining to adjust the minimum safety stock threshold; When the usage frequency is less than the usage frequency threshold, it is determined not to adjust the minimum safety stock threshold.

4. The management system for construction equipment according to claim 1, characterized in that: Comparing the construction demand data with the historical data and adjusting the minimum safety stock threshold according to the comparison result includes: When there is historical demand data identical to the construction demand data in the historical data, an adjustment coefficient is calculated based on the historical demand data to adjust the minimum safety stock threshold; When there is no data identical to the construction demand data in the historical data, the failure frequency data of the construction device to be managed is collected, and the similarity between the failure frequency data and the historical failure frequency data is calculated, and the minimum safety stock threshold is adjusted according to the similarity.

5. The management system for construction equipment according to claim 4, characterized in that: When calculating an adjustment coefficient based on the historical demand data to adjust the minimum safety stock threshold, it includes: Establishing a historical demand data set according to the time series and the historical demand data, and calculating a historical demand fluctuation value according to the historical demand data set; wherein the historical demand fluctuation value is the difference between the current cycle demand data and the previous cycle demand data; Calculate the primary adjustment coefficient according to the historical demand fluctuation value, and use the product of the primary adjustment coefficient and the minimum safety stock threshold as the adjusted minimum safety stock threshold; The primary adjustment coefficient is obtained by the following formula: Among them, K1 represents the primary adjustment coefficient, D t is the characteristic value of demand in the current period, D t-T is the demand characteristic value of the previous period, D avg The historical demand average.

6. The management system for construction equipment according to claim 1, characterized in that: Calculating the similarity between the failure frequency data and the historical failure frequency data, and adjusting the minimum safety stock threshold according to the similarity, includes: The similarity is obtained according to the following formula: Among them, Sim represents similarity, F c，i represents the i-th fault frequency data, F h，i represents the i-th historical fault frequency data, and n represents the total number of fault frequency data.

7. The management system for construction equipment according to claim 6, characterized in that: When adjusting the minimum safety stock threshold according to the similarity, it includes: Presetting a secondary adjustment coefficient interval, wherein the secondary adjustment coefficient interval includes a secondary first adjustment coefficient, a secondary second adjustment coefficient and a secondary third adjustment coefficient; Calculating a similarity ratio between the similarity and a similarity threshold; When the similarity ratio is less than 1.1, the quadratic first adjustment coefficient is selected as the adjustment coefficient corresponding to the minimum safety stock threshold, and the product value of the quadratic first adjustment coefficient and the minimum safety stock threshold is used as the adjusted minimum safety stock threshold; When the similarity ratio is greater than or equal to 1.1 and less than 1.35, the quadratic second adjustment coefficient is selected as the adjustment coefficient corresponding to the minimum safety stock threshold, and the product value of the quadratic second adjustment coefficient and the minimum safety stock threshold is used as the adjusted minimum safety stock threshold; When the similarity ratio is greater than 1.35, the quadratic third adjustment coefficient is selected as the adjustment coefficient corresponding to the minimum safety stock threshold, and the product value of the quadratic third adjustment coefficient and the minimum safety stock threshold is used as the adjusted minimum safety stock threshold.

8. The management system for construction equipment according to claim 1, characterized in that: When determining whether to issue an inventory warning according to the real-time inventory data, it includes: When the real-time inventory data is greater than or equal to the adjusted minimum safety inventory threshold, it is determined that no inventory warning is issued; When the real-time inventory data is less than the adjusted minimum safety inventory threshold, it is determined that an inventory warning is to be issued, and a warning level is determined according to the real-time inventory data.

9. The management system for construction equipment according to claim 8, characterized in that: When determining the warning level based on the real-time inventory data, it includes: Calculating the inventory difference between the real-time inventory data and the adjusted minimum safety inventory threshold, comparing the inventory difference with a first inventory difference threshold and a second inventory difference threshold, and determining a warning level according to the comparison result; wherein the first inventory difference threshold is less than the second inventory difference threshold; When the inventory difference is less than or equal to the first inventory difference threshold, determining that the warning level is the first level; When the inventory difference is greater than the first inventory difference threshold and less than or equal to the second inventory difference threshold, determining that the warning level is the second level; When the inventory difference is greater than the second inventory difference threshold, the warning level is determined to be the second level.

10. A management method for construction equipment, applied to the management system for construction equipment according to any one of claims 1 to 9, characterized in that: include: Determine the construction equipment to be managed in the construction area, collect historical consumption data, replenishment cycle data and expected inventory out-of-stock probability data of the construction equipment to be managed, and determine the minimum safety inventory threshold of the construction equipment to be managed based on the historical consumption data, replenishment cycle data and expected inventory out-of-stock probability data; Collecting the usage frequency of the construction equipment to be managed, and determining whether to adjust the minimum safety stock threshold according to the usage frequency; When it is determined that the minimum safety stock threshold is to be adjusted, the construction demand data of the construction device to be managed is collected, and the construction demand data is compared with the historical data, and the minimum safety stock threshold is adjusted according to the comparison result; When the historical data does not contain data identical to the construction demand data, the fault frequency data of the construction device to be managed is collected, and the similarity between the fault frequency data and the historical fault frequency data is calculated, and the minimum safety stock threshold is adjusted according to the similarity to obtain the adjusted minimum safety stock threshold; The real-time inventory data of the construction equipment to be managed is collected, and it is determined whether to issue an inventory warning according to the real-time inventory data.

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