CN-121981441-A - Intelligent material management method and system for building operation

CN121981441ACN 121981441 ACN121981441 ACN 121981441ACN-121981441-A

Abstract

The invention relates to an intelligent material management method and system for building operation. The method comprises the steps of monitoring short-time state jump of each storage unit in a construction operation site, analyzing the association characteristic of each storage unit and mechanical disturbance to judge the jump cause as structural abnormality or non-structural disturbance, triggering different checking and inventory updating processes according to the jump cause, analyzing the material demand of the construction unit based on updated inventory records, identifying different risks by comparing historical consumption data, calculating the comprehensive urgency of the demand by combining material function dependence, co-occurrence frequency and consumption correlation, and finally generating a differentiated material scheduling strategy according to the comprehensive urgency. The invention effectively solves the problem of inventory false alarm caused by vibration interference in a complex building environment, realizes the intelligent matching of accurate prediction of material demands and supply chain resources, and improves the material management efficiency and the construction guarantee level.

Inventors

MEI JIANGTAO
YU FANGGANG
GU BO
Pan Pengchao
ZHANG RUOHAO
CHEN GANG
LI LEI
XU XIAOHUI
XIAO HAN
YUAN CHENG
MA HUAIZHANG
QUAN YOUWEI
BAO HAN

Assignees

南京中建八局智慧科技有限公司
中建八局第三建设有限公司

Dates

Publication Date: 20260505
Application Date: 20251229

Claims (10)

1. An intelligent material management method for building operation is characterized by comprising the following steps: Monitoring each storage unit in a storage area of a construction operation site, analyzing whether short-time state jump information exists, and marking the storage unit with the short-time state jump as a target storage unit; Analyzing the mechanical disturbance-jump correlation characteristic factors of the target storage unit in a preset monitoring window, and judging the short-time state jump correlation information of the target storage unit according to the mechanical disturbance-jump correlation characteristic factors; when the short-time state jump association information is judged to be abnormal disturbance of the structure of the storage unit, combining the historical mechanical disturbance-jump association characteristic factors of the target storage unit, judging an abnormal grade and triggering a corresponding structure safety verification operation flow; When the short-time state jump associated information is judged to be non-structural abnormal disturbance, analyzing the reliability index of the material access operation of the target storage unit, synchronously analyzing the consistency quantity of the material access operation directions of the target storage unit to extract a reliability constraint factor, judging the operation effectiveness by combining the reliability index of the material access operation, and triggering the operation flow of stock update or manual review; and executing a material demand analysis and strategy generation flow based on the updated inventory records so as to output a scheduling strategy of material distribution or purchase.
2. The intelligent material management method for building operations according to claim 1, wherein the executing material demand analysis and policy generation flow specifically comprises: analyzing material demand information submitted by a construction unit, extracting key fields and generating demand feature vectors; Comparing the current material demand with the historical period consumption data, identifying a difference field, constructing a two-dimensional vector according to the variation amplitude and the preset business weight, and grading the difference risk by using a clustering algorithm; Calculating the functional dependency relationship, the historical co-occurrence frequency and the consumption correlation among different materials so as to quantify the strong association relationship among the materials; Combining the difference risk level with the strong association relation, and calculating the comprehensive urgency of the material demand; And generating a scheduling strategy for material distribution or purchase based on the comprehensive urgency.
3. The intelligent material management method for building operations according to claim 1, wherein the analyzing whether short-time state jump information exists specifically comprises: Acquiring state monitoring data of sensors corresponding to all storage units in real time; Based on a preset short time threshold and a state jump threshold, identifying a bit storage unit with the state change times exceeding the state jump threshold in the short time threshold; And marking the identified bit storage unit as short-time state jump information exists.
4. A method of intelligent material management for construction operations according to claim 1 or 3, wherein the mechanical disturbance-jump correlation characteristic factor is obtained by analysis by: Acquiring a mechanical disturbance sensor data sequence and a state jump data sequence of a target storage unit in the monitoring window; calculating the cross-correlation coefficient of the data sequence of the mechanical disturbance sensor and the state jump data sequence under different time delays; And taking the mechanical disturbance data characteristic corresponding to the maximum value of the cross-correlation coefficient as the mechanical disturbance-jump correlation characteristic factor.
5. The intelligent material management method for building operations according to claim 4, wherein the determining of the abnormal level and triggering of the corresponding structural safety verification operation flow by combining the historical mechanical disturbance-jump correlation characteristic factor of the target storage unit comprises: Acquiring a mechanical disturbance-jump correlation characteristic factor sequence of the target storage unit in a history period; Calculating the deviation degree of the current mechanical disturbance-jump correlation characteristic factor and the historical sequence; when the deviation degree is lower than a first set threshold value, judging that the environment background is mechanically disturbed, and automatically prolonging a confirmation window of state jump; triggering mechanical disturbance source positioning analysis and generating a patrol prompt when the deviation degree is higher than or equal to the first set threshold value and lower than a second set threshold value; And when the deviation degree is higher than or equal to the second set threshold value, generating a structural safety early warning.
6. The intelligent material management method for construction operation according to claim 1, wherein the analyzing the material access operation reliability index of the target storage unit specifically comprises: Acquiring weight monitoring data of the target bit storage unit before and after a state jump time point and state data of adjacent bit storage units; and constructing the reliability index of the material access operation based on the synergy of the weight change value and the states of the adjacent storage units.
7. The intelligent material management method for building operations according to claim 6, wherein the determining operation availability by combining the material access operation reliability index and triggering inventory update or manual review operation flow specifically comprises: comparing the reliability index of the material access operation with a preset reliability threshold; when the index is higher than the credibility threshold, judging that the index is effective material access operation, and updating the inventory record; and when the index is lower than or equal to the credibility threshold, checking by combining the credibility constraint factors, namely updating the inventory record and recording the abnormal label if checking is passed, and generating early warning information needing to be confirmed manually if checking is not passed.
8. The intelligent material management method for building operations according to claim 2, wherein the business weight is obtained through offline learning of a logistic regression model based on construction delay loss data and rework loss data caused by historical material shortage.
9. The intelligent material management method for building operations according to claim 2, wherein the generating a scheduling policy for material distribution or purchasing based on the comprehensive urgency specifically comprises: when the comprehensive urgency is lower than a preset threshold, matching and screening are carried out in the range of a global supply service provider according to the similarity of the materials; when the integrated urgency is greater than or equal to a preset threshold, a provider with historical collaboration records and good ratings is preferentially recommended.
10. An intelligent material management system for building operations, for implementing an intelligent material management method for building operations according to any one of claims 1 to 9, the system comprising: the short-time state jump monitoring module is configured to monitor each storage unit in a storage area of a construction operation site, analyze short-time state jump information and identify a target storage unit; the jump association information judging module is configured to analyze the mechanical disturbance-jump association characteristic factors of the target bit storage unit in a preset monitoring window and judge the short-time state jump association information; The structural abnormality handling module is configured to judge an abnormality grade in combination with the historical mechanical disturbance characteristics and trigger a structural safety verification process when judging that the structure of the storage unit is abnormally disturbed; the access operation checking module is configured to analyze the reliability and the direction consistency of the material access operation when the non-structural abnormal disturbance is determined, determine the operation effectiveness and trigger the inventory update or the manual rechecking process; and the material demand analysis and strategy generation module is configured to execute a material demand analysis and strategy generation flow based on the updated inventory records so as to output a scheduling strategy of material distribution or purchase.

Description

Intelligent material management method and system for building operation Technical Field The invention relates to the technical field of data processing, in particular to an intelligent material management method and system for building operation. Background In a construction operation site, the efficiency of material management directly affects project cost, construction period and safety. The traditional material management method relies on manual periodic inspection and recording, and is difficult to deal with the dynamic change of the construction environment. In the prior art, although there are schemes for attempting to improve management efficiency through the internet of things or image recognition technology, there are still obvious limitations. For example, some systems can only optimize the flow of material acceptance, and cannot comprehensively analyze and predict the progress of the whole project and the material demand, and part of schemes depend on inventory inspection with a fixed period, so that the system is difficult to respond to the sudden demand in construction, and the deviation between material supply and actual consumption is caused. In addition, the construction site environment is complex, continuous vibration generated by heavy machinery operation can generate significant interference on the shelf monitoring sensor, and the conventional method is difficult to effectively distinguish false alarms and real material access operation caused by the environment vibration, so that inventory records are misaligned. In addition, the scheme is focused on identifying materials through two-dimensional images, but the change of the volume of the materials cannot be accurately calculated, and errors exist in management. Although a method for dividing areas and carrying out early warning based on a material consumption thermodynamic diagram exists, the method lacks in-depth analysis of the relevance among materials, and also fails to link on-site state monitoring, inventory updating and intelligent closed loop of a supply chain response, so that accurate and dynamic matching of material supply and actual construction requirements is difficult to realize. Therefore, a material management method which can adapt to building operation specificity, has strong anti-interference capability and can realize closed loop intelligent management in the whole process is urgently needed. Disclosure of Invention In order to solve the technical problems, the invention provides an intelligent material management method for building operation, which comprises the following steps: Monitoring each storage unit in a storage area of a construction operation site, analyzing whether short-time state jump information exists, and marking the storage unit with the short-time state jump as a target storage unit; Analyzing the mechanical disturbance-jump correlation characteristic factors of the target storage unit in a preset monitoring window, and judging the short-time state jump correlation information of the target storage unit according to the mechanical disturbance-jump correlation characteristic factors; when the short-time state jump association information is judged to be abnormal disturbance of the structure of the storage unit, combining the historical mechanical disturbance-jump association characteristic factors of the target storage unit, judging an abnormal grade and triggering a corresponding structure safety verification operation flow; When the short-time state jump associated information is judged to be non-structural abnormal disturbance, analyzing the reliability index of the material access operation of the target storage unit, synchronously analyzing the consistency quantity of the material access operation directions of the target storage unit to extract a reliability constraint factor, judging the operation effectiveness by combining the reliability index of the material access operation, and triggering the operation flow of stock update or manual review; and executing a material demand analysis and strategy generation flow based on the updated inventory records so as to output a scheduling strategy of material distribution or purchase. Further, the executing the material demand analysis and policy generation flow specifically includes: analyzing material demand information submitted by a construction unit, extracting key fields and generating demand feature vectors; Comparing the current material demand with the historical period consumption data, identifying a difference field, constructing a two-dimensional vector according to the variation amplitude and the preset business weight, and grading the difference risk by using a clustering algorithm; Calculating the functional dependency relationship, the historical co-occurrence frequency and the consumption correlation among different materials so as to quantify the strong association relationship among the materials; Combining the difference risk