Prefabricated part field installation construction method based on Internet of Things technology

Abstract

The invention discloses a prefabricated part on-site installation construction method based on the Internet of Things technology, and the method comprises the steps: employing a pre-constructed propagation path database, combining with the multi-party collaborative operation demands of a construction site, judging the target receiver and transmission order of each piece of information, and obtaining a customized information transmission scheme; through a customized information transmission scheme, the key information is distributed according to a determined sequence and a target receiver, the integrity of the information in the transmission process is guaranteed by adopting an encrypted transmission channel, and a distributed transmission record is acquired; and for a new transmission scheme, combining with the complex dynamic change of the construction site, adjusting the information transmission range and mode, and updating the information distribution state through the multi-party collaborative operation platform to obtain an adjusted transmission result.

Description

Technical Field

[0001] This invention relates to the field of on-site installation technology for prefabricated components, and in particular to a method for on-site installation of prefabricated components based on Internet of Things (IoT) technology. Background Technology

[0002] On-site installation of precast components is a key area in the development of industrialized construction, directly impacting project quality, schedule, and cost. The introduction of IoT technology has significantly improved on-site construction information management and coordination capabilities, providing crucial support for achieving efficient and precise installation. However, existing methods still have significant limitations in practical applications. Traditional construction information management relies heavily on manual recording and transmission, easily leading to information delays and distortions, especially in multi-shift, multi-level collaborative operations, making it difficult to meet the real-time and accuracy requirements of dynamic and complex scenarios. Furthermore, existing IoT applications often focus on data collection from single devices or processes, lacking the systematic organization and dynamic adjustment capabilities for information dissemination, resulting in frequent information silos.

[0003] Against this backdrop, the core challenges facing on-site installation and construction lie in the automatic dissemination and dynamic coordination of information. Automatic information dissemination requires the system to accurately identify key information, such as installation progress, quality inspection results, or safety status, based on real-time changes in the construction scenario, and efficiently transmit this information to relevant work teams and management. However, due to the complexity of construction sites, the importance and relevance of information are difficult to determine quickly, easily leading to information redundancy or omissions. This problem further exacerbates the difficulty of dynamic coordination—that is, how to ensure that the scope and method of information dissemination can adaptively adjust in scenarios involving multiple parties to achieve seamless collaboration among all participants. The automatic information dissemination mechanism directly affects the effectiveness of dynamic coordination, while insufficient coordination, in turn, restricts the efficiency of information dissemination, creating a mutual technological constraint.

[0004] Therefore, how to build an IoT-based on-site information dissemination network to achieve automatic identification, accurate transmission, and dynamic coordination of key information has become a key issue in improving the efficiency and quality of on-site installation of precast components. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to address the shortcomings of the prior art by providing a method for on-site installation of prefabricated components based on Internet of Things (IoT) technology. This method optimizes information flow through verification rules, continuously updates the data acquisition module, realizes a dynamic coordination mechanism, and uses distributed storage technology to synchronously update the information databases of each work team and management team, thereby achieving automatic identification, accurate transmission, and closed-loop management of construction site information.

[0006] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The on-site installation method for prefabricated components based on Internet of Things (IoT) technology includes the following steps: Real-time data is acquired from the sensor network at the construction site using IoT technology. Preliminary data collection is conducted on multiple dimensions such as installation progress, quality inspection results, and safety status. The collected raw data is then structured using a pre-established data classification model to obtain a classified set of on-site information. Based on the classified on-site information set, the information flow processing algorithm is used to analyze the priority and relevance of the information. If the priority of a certain piece of information is higher than the preset threshold, it is marked as key information, and a list of key information that needs to be transmitted is determined. For the list of key information, a pre-built propagation path database is used, combined with the multi-party collaborative operation needs at the construction site, to determine the target recipients and transmission order of each piece of information, and obtain a customized information transmission solution. Through customized information delivery solutions, key information is distributed to the target recipients in a predetermined order, and encrypted transmission channels are used to ensure the integrity of the information during the transmission process, and the distributed transmission records are obtained. Based on the distributed transmission records, the feedback data of the information recipient is monitored in real time. If the feedback data indicates that the information has not been received correctly or is misunderstood, the adaptive adjustment mechanism is triggered to recalculate the transmission path and determine a new transmission scheme. In response to the new delivery plan, and considering the complex dynamic changes at the construction site, the scope and method of information dissemination were adjusted. The information distribution status was updated through a multi-party collaborative operation platform to obtain the adjusted dissemination results. Based on the adjusted propagation results, analyze the information redundancy problem and the risk of information omission, and use the preset verification rules to compare the propagation results. If redundancy or omission is found, generate supplementary information or deletion instructions to obtain the optimized information flow. For the optimized information flow, the data acquisition module supported by IoT technology is continuously updated. Combined with the real-time data acquisition function, it is determined whether the information flow meets the requirements of the dynamic coordination mechanism, and the final coordination status data is obtained. By using the final coordinated status data, the information databases of each work team and management at the construction site are updated synchronously. Distributed storage technology is used to ensure data consistency and complete the closed loop of automatic information identification and accurate transmission.

[0007] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects: 1. The present invention provides a method for on-site installation of prefabricated components based on Internet of Things (IoT) technology. It collects multi-dimensional construction data in real time through a sensor network, performs structured processing using a data classification model, and analyzes information priority using an information flow processing algorithm to determine a list of key information. 2. This invention combines a pre-built propagation path database with the needs of multi-party collaborative operations to formulate a customized information transmission scheme, and distributes information through an encrypted transmission channel; 3. The present invention also includes an adaptive adjustment mechanism that adjusts the transmission path in real time based on feedback from the recipient and updates the information distribution status through a multi-party collaborative operation platform; 4. This invention optimizes information flow through verification rules, continuously updates the data acquisition module, realizes a dynamic coordination mechanism, and uses distributed storage technology to synchronously update the information databases of each work team and management team, thereby achieving automatic identification, accurate transmission, and closed-loop management of construction site information. Attached Figure Description

[0008] Figure 1 This is a flowchart of a prefabricated component on-site installation method based on Internet of Things (IoT) technology according to the present invention. Detailed Implementation

[0009] To further understand the content of this invention, a detailed description of the invention is provided in conjunction with the accompanying drawings and embodiments. The specific embodiments described herein are for illustrative purposes only and are not intended to limit the invention. It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings.

[0010] A method for on-site installation of prefabricated components based on Internet of Things (IoT) technology, such as Figure 1 As shown, it can specifically include: S101. Real-time data is acquired from the sensor network at the construction site using IoT technology. Preliminary data collection is conducted on multi-dimensional information such as installation progress, quality inspection results, and safety status. The collected raw data is then structured using a pre-established data classification model to obtain a classified set of on-site information.

[0011] Real-time data is acquired from a sensor network at the construction site using IoT technology. Preliminary data collection is performed on multi-dimensional information, including installation progress, quality inspection, and safety status, resulting in an initial on-site data set. Based on this initial data set, a pre-built data classification model is used to structure the data, classifying and organizing the multi-dimensional information to obtain a categorized on-site information set. For this categorized information set, installation progress information is compared against a preset threshold. If the installation progress falls below the threshold, an anomaly indicator is triggered, resulting in a progress assessment result. Based on the progress assessment result, the data distribution characteristics of quality inspection information are obtained. If the proportion of abnormal data in quality inspection information exceeds a preset range, it is marked as a quality anomaly, determining the quality assessment result. Using the quality assessment result, the real-time trend of safety status information is obtained. A support vector machine model is used to predict the risks of safety status information and determine the potential safety risk level. Based on the risk level of the safety status information, high-risk data is prioritized using preset logical rules, resulting in a risk priority sequence. Using the risk priority sequence, relevant data from the corresponding on-site information set is obtained. Information integration tools are used to summarize and process the multi-dimensional information, determining the final on-site status assessment result.

[0012] S102. Based on the classified on-site information set, the information flow processing algorithm is used to analyze the priority and relevance of the information. If the priority of a certain piece of information is higher than the preset threshold, it is marked as key information, and a list of key information that needs to be transmitted is determined.

[0013] For the key information list, information integration tools are used to summarize and organize the labeled data. If the relevance of key information exceeds a preset threshold, it is classified as a key focus object, resulting in a key focus dataset. Based on the key focus dataset, abnormal fluctuation characteristics in the field information are obtained, and a support vector machine model is used to assess the risk of abnormal fluctuations and determine the potential risk level distribution. Based on the risk level distribution, for high-risk field information, a pre-established logical rule is used to re-prioritize it, resulting in an adjusted priority sequence. Based on the adjusted priority sequence, related data in the information set is obtained, and information flow analysis tools are used to cross-validate multi-dimensional data to determine the dependencies between data. Based on the dependencies between data, the matching degree between key information and field information is compared. If the matching degree is lower than a preset threshold, an anomaly marker is triggered, resulting in an anomaly marker set. Based on the anomaly marker set, an information traceability mechanism is used to review the accuracy of data classification, determine whether there is a classification bias, and obtain the classification review result. Based on the classification review result, for information sets with large biases, information correction tools are used to adjust the data, determining the final optimized set of field information.

[0014] S103. For the list of key information, using a pre-built propagation path database and combined with the multi-party collaborative operation needs at the construction site, determine the target recipients and transmission order of each piece of information to obtain a customized information transmission plan.

[0015] For the key information list, transmission rules related to the construction site are obtained from a pre-built propagation path database. Combined with the operational needs of multi-party collaboration, the transmission targets of each piece of information are analyzed to determine a preliminary information distribution framework. Based on this framework, real-time on-site demand data is acquired, and the transmission targets are sorted using preset priority rules to obtain an adjusted transmission order list. Using this adjusted order list, the corresponding operational needs of each participant in the multi-party collaboration are obtained, and the transmission order is verified using an information matching tool to determine the final transmission order scheme. Based on the final transmission order scheme, historical transmission records related to the personalized plan are extracted from the database source, and their compatibility with the current construction site environment is analyzed. If the compatibility is lower than a preset threshold, an adjustment mechanism is triggered to obtain an optimized distribution strategy. For the optimized distribution strategy, the correlation data between key information and transmission targets is obtained, and a support vector machine model is used to predict potential conflicts in information distribution, determining whether there are conflict risks and obtaining conflict detection results. Based on the conflict detection results, for information distribution paths with potential risks, a path optimization tool is used to replan the propagation path. Combining on-site and operational needs, the final personalized information distribution scheme is determined. Based on the final personalized information distribution plan, the content to be delivered in the information list is obtained, and the data is encapsulated according to the delivery order and target recipient to obtain a set of executable information delivery tasks.

[0016] S104. Through a customized information transmission scheme, key information is distributed to the target recipients in a determined order, and an encrypted transmission channel is used to ensure the integrity of the information during the transmission process, and the distributed transmission records are obtained.

[0017] For critical information, a delivery plan related to the distribution task is retrieved from a pre-established database. The information's classification and priority are analyzed to determine a preliminary delivery order. Based on this preliminary order and the real-time status data of the target recipient, the information arrangement is adjusted using preset rules to obtain an optimized task execution list. Using this optimized list, secure transmission channel configurations are obtained, and encryption tools are used to protect the transmission channels, establishing a secure delivery environment. Within this secure environment, critical information is encapsulated according to the information arrangement and delivery order. Combined with the specific requirements of the distribution task, executable distribution data is obtained. Based on this executable data, information is distributed through the configured transmission channels, while the distribution process is monitored in real time, acquiring distribution status and data tracking records. If the distribution status shows an anomaly in the acquired data tracking records, a preset remedial mechanism is triggered to readjust the delivery plan and determine the final distribution result. Based on the final distribution result, the records are saved to a pre-established repository. The saved records are then categorized and archived to obtain a complete distribution data archive.

[0018] S105. Based on the distributed transmission records, monitor the feedback data of the information recipient in real time. If the feedback data indicates that the information has not been received correctly or there is a misunderstanding, trigger the adaptive adjustment mechanism, recalculate the transmission path, and determine a new transmission scheme.

[0019] For the transmission records, a pre-established monitoring system acquires feedback data from the information receiver in real time, determining whether the feedback data contains indications of inaccurate reception or deviation, thus obtaining a preliminary reception status assessment. Based on the preliminary reception status assessment, if the feedback data indicates that the information was not accurately received or has deviation, an adaptive adjustment process is initiated. Historical data related to the transmission path is acquired to determine the priority direction of the adjustment process. Based on the priority direction of the adjustment process, alternative transmission paths are retrieved from a pre-established path database, and their feasibility is screened using preset rules to obtain a set of candidate paths that meet the criteria. Using the candidate path set, combined with deviation information in the feedback data, a logical judgment method is used: if the deviation originates from transmission delay, a low-latency path is prioritized; if the deviation originates from data loss, a high-stability path is prioritized, thus determining the final transmission path. Based on the final transmission path, configuration parameters related to the distribution scheme are acquired, and these parameters are dynamically adjusted to obtain an updated distribution scheme framework. For the updated distribution scheme framework, a pre-established verification tool is used to test the executability of the scheme, determine whether there are potential conflicts, and obtain a verified distribution scheme. Based on the verified distribution scheme, the information is repackaged using a secure transmission channel, and the final distribution execution plan is determined by combining the real-time acquired receiver status data.

[0020] S106. In response to the new transmission scheme, and in light of the complex dynamic changes at the construction site, the scope and method of information dissemination are adjusted. The information distribution status is updated through a multi-party collaborative operation platform to obtain the adjusted dissemination results.

[0021] By acquiring dynamic change data of the construction site through a pre-established monitoring system and combining it with the information dissemination requirements in the transmission plan, it is determined whether the dissemination range meets the current site conditions. If the range is insufficient, the dissemination coverage area is expanded to obtain adjusted dissemination range data. Based on the adjusted dissemination range data, configuration information related to the dissemination method is obtained, and the dissemination method is filtered using preset rules. If the dynamic changes on site indicate significant communication interference, a more stable dissemination method is prioritized to determine the final dissemination method scheme. For the final dissemination method scheme, the current information distribution status data is obtained from the multi-party collaborative operation platform. By comparing it with preset thresholds, it is determined whether the distribution status meets the real-time requirements to obtain the evaluation result of the distribution status. Based on the evaluation result of the distribution status, collaboration data related to multi-party collaboration is obtained. Using a logical matching method, if the collaboration data indicates information lag, the information distribution priority is adjusted to determine the updated distribution status information. Using the updated distribution status information, combined with the dynamic change data of the construction site, a pre-established decision model is used to determine whether the information dissemination covers all relevant parties, obtaining the verification result of the dissemination coverage. Based on the verification results of the dissemination coverage, feedback data on the adjustment results is obtained from the operation platform. By comparing the results with historical dissemination data, it is determined whether there are any deviations, and the final dissemination result data is determined. Based on the final dissemination result data, the information is re-encapsulated using a secure transmission channel, and combined with the status updates of the multi-party collaborative operation platform, an adjusted information dissemination execution plan is derived.

[0022] S107. Based on the adjusted propagation results, analyze the information redundancy problem and the risk of information omission, compare the propagation results using preset verification rules, and if redundancy or omission is found, generate supplementary information or deletion instructions to obtain the optimized information flow.

[0023] For the dissemination result data, the complete content of the information stream is obtained. A preset verification rule is used to compare each item in the information stream to determine if there are any redundancies or omissions, yielding preliminary analysis results. Based on the preliminary analysis results, the specific distribution data of redundancies is obtained. If the redundancy exceeds a preset threshold, a deletion instruction is generated to determine the handling plan for the redundant parts. For the analysis results of omissions, relevant identifiers of missing content are extracted from the information stream. If the missing content affects the integrity of the information, supplementary information is generated to fill in the missing parts. Using the supplementary information and deletion instructions, combined with the original structure of the information stream, a logical matching method is used to reorganize the information stream. It is then determined whether the reorganized information stream meets the preset integrity standard, yielding the reorganized information stream data. For the reorganized information stream data, relevant indicators of optimization information are obtained. A preset evaluation model is used to perform a secondary verification of the information stream. If the optimization information does not meet the preset standard, the execution order of the supplementary information or deletion instructions is adjusted to determine the final optimized information data. Based on the final optimized information data, the distribution status of the information stream in the dissemination result is obtained. By comparing with historical data, it is determined whether there are potential problems in identifying hidden dangers, yielding the verification results of hidden danger identification. Based on the verification results of the hazard identification, the information flow is adjusted in a rule-based manner. If the verification results show that there are still hazard omissions, relevant content is extracted from the backup data source to supplement them, and the adjusted final information flow data is obtained.

[0024] S108. For the optimized information flow, continuously update the data acquisition module supported by IoT technology, and combine it with the real-time data acquisition function to determine whether the information flow meets the requirements of the dynamic coordination mechanism, and obtain the final coordination status data.

[0025] Supported by IoT technology, real-time data is acquired from the data acquisition module. The content of the information flow is dynamically monitored to determine if it matches the preset mechanism standards, thus obtaining preliminary coordination status data. Based on this preliminary coordination status data, the analysis function compares the real-time data in the information flow. If the real-time data deviates from the dynamic coordination standards, an adjustment command is triggered, determining the adjusted information flow content. For the adjusted information flow content, the latest data flow supported by IoT is acquired through the continuous update module. The matching degree between this data flow and the optimized information flow is analyzed, obtaining matching status evaluation data. Based on the matching status evaluation data, if the matching degree does not meet the mechanism standards, relevant data is extracted from backup data sources to supplement the flow, determining the supplemented information flow structure. For the supplemented information flow structure, a pre-established dynamic coordination model is used to perform a secondary verification of the information flow, determining whether the verification result meets the coordination status requirements, thus obtaining verified status data. Using the verified status data, the final data is compared with the real-time data. If the comparison shows a deviation, the information flow is locally optimized to determine the final coordination status data. Based on the final coordination status data, a logical mapping method is used to associate and store the information flow with the dynamic coordination mechanism, resulting in a persistent record of the optimized information flow under the mechanism standard.

[0026] S109. Through the final coordinated status data, the information databases of each work team and management at the construction site are updated synchronously. Distributed storage technology is used to ensure data consistency and complete the closed loop of automatic information identification and accurate transmission.

[0027] For coordinated status data, distributed storage technology is used to synchronously update the information repositories of each work team and management level at the construction site, obtaining updated repository status data. Based on the updated repository status data, and considering the information interaction needs between work teams and management levels, automatic identification technology is used to classify data flows, determining the classified data flow structure. According to the classified data flow structure, and to meet data consistency requirements, if inconsistencies are detected in the data flow structure, a synchronization correction mechanism is triggered to obtain corrected data flow records. For the requirement of accurate transmission, pre-established mapping rules are used to optimize the distribution paths of the data flow records, determining whether the distribution paths conform to closed-loop management standards, and identifying the optimized distribution path data. Based on the optimized distribution path data, and for the implementation of the complete process, an information verification tool is used to perform consistency checks on the distribution path data. If the check results show deviations, the path allocation is readjusted, obtaining adjusted path allocation data. Based on the adjusted path allocation data, and aiming at closed-loop management, logical association technology is used to bind and store the path allocation data with the real-time status of the construction site, obtaining the bound status association data.

[0028] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

Claims

1. A method for on-site installation of prefabricated components based on Internet of Things (IoT) technology, characterized in that: Specifically, it includes the following steps: Real-time data is acquired from the sensor network at the construction site using IoT technology. Preliminary data collection is conducted on multiple dimensions such as installation progress, quality inspection results, and safety status. The collected raw data is then structured using a pre-established data classification model to obtain a classified set of on-site information. Based on the classified on-site information set, the information flow processing algorithm is used to analyze the priority and relevance of the information. If the priority of a certain piece of information is higher than the preset threshold, it is marked as key information, and a list of key information that needs to be transmitted is determined. For the list of key information, a pre-built propagation path database is used, combined with the multi-party collaborative operation needs at the construction site, to determine the target recipients and transmission order of each piece of information, and obtain a customized information transmission solution. Through customized information delivery solutions, key information is distributed to the target recipients in a predetermined order, and encrypted transmission channels are used to ensure the integrity of the information during the transmission process, and the distributed transmission records are obtained. Based on the distributed transmission records, the feedback data of the information recipient is monitored in real time. If the feedback data indicates that the information has not been received correctly or is misunderstood, the adaptive adjustment mechanism is triggered to recalculate the transmission path and determine a new transmission scheme. In response to the new delivery plan, and considering the complex dynamic changes at the construction site, the scope and method of information dissemination were adjusted. The information distribution status was updated through a multi-party collaborative operation platform to obtain the adjusted dissemination results. Based on the adjusted propagation results, analyze the information redundancy problem and the risk of information omission, and use the preset verification rules to compare the propagation results. If redundancy or omission is found, generate supplementary information or deletion instructions to obtain the optimized information flow. For the optimized information flow, the data acquisition module supported by IoT technology is continuously updated. Combined with the real-time data acquisition function, it is determined whether the information flow meets the requirements of the dynamic coordination mechanism, and the final coordination status data is obtained. By using the final coordinated status data, the information databases of each work team and management at the construction site are updated synchronously. Distributed storage technology is used to ensure data consistency and complete the closed loop of automatic information identification and accurate transmission.

2. The on-site installation method for prefabricated components based on Internet of Things technology according to claim 1, characterized in that, The process involves acquiring real-time data from a sensor network at the construction site using IoT technology. Preliminary data collection is conducted on multi-dimensional information such as installation progress, quality inspection results, and safety status. A pre-established data classification model is then used to structure the collected raw data, resulting in a categorized set of on-site information, including: By acquiring real-time data from the sensor network at the construction site using IoT technology, preliminary data collection is conducted on multiple dimensions such as installation progress, quality inspection, and safety status to obtain an initial set of on-site data. Based on the initial set of field data, a pre-built data classification model is used to structure the data, classify and organize the multi-dimensional information, and obtain a classified set of field information. For the categorized set of on-site information, the installation progress information is compared with a preset threshold. If the installation progress information is lower than the preset threshold, an anomaly indicator is triggered, and the progress assessment result is obtained. Based on the progress assessment results, the data distribution characteristics of the quality inspection information are obtained. If the proportion of abnormal data in the quality inspection information exceeds the preset range, it is marked as a quality abnormality state, and the quality assessment result is determined. Based on the quality assessment results, the real-time trend of safety status information is obtained, and the support vector machine model is used to predict the risk of safety status information and determine the level of potential safety risks. Based on the risk level of the security status information, data with high risk level are prioritized using preset logical rules to obtain a risk priority sequence. By prioritizing risks, relevant data are obtained from the corresponding on-site information sets. Information integration tools are used to summarize and process multi-dimensional information to determine the final on-site condition assessment result.

3. The on-site installation method for prefabricated components based on Internet of Things technology according to claim 1, characterized in that, Based on the categorized set of on-site information, an information flow processing algorithm is used to analyze the priority and relevance of the information. If the priority of a certain piece of information is higher than a preset threshold, it is marked as key information, and a list of key information to be transmitted is determined, including: For the list of key information, information integration tools are used to summarize and organize the labeled data. If the relevance of key information exceeds a preset threshold, it is classified as a key focus object, thus obtaining a key focus dataset. Based on the key dataset, abnormal fluctuation characteristics in the field information are obtained, and a support vector machine model is used to assess the risk of abnormal fluctuations and determine the potential risk level distribution. Based on the risk level distribution, for high-risk level on-site information, priority is re-sorted using pre-established logical rules to obtain an adjusted priority sequence; Based on the adjusted priority sequence, obtain the related data in the information set, and use information flow analysis tools to cross-validate the multi-dimensional data to determine the dependencies between the data. By comparing the degree of matching between key information and on-site information based on the dependencies between data, if the degree of matching is lower than a preset threshold, an anomaly flag is triggered, and a set of anomaly flags is obtained. Based on the set of anomaly identifiers, an information tracing mechanism is used to verify the accuracy of data classification, determine whether there is a classification bias, and obtain the classification verification result. Based on the classification and verification results, for information sets with large deviations, information correction tools are used to adjust the data and determine the final optimized set of on-site information.

4. The on-site installation method for prefabricated components based on Internet of Things technology according to claim 1, characterized in that, The aforementioned key information list utilizes a pre-built propagation path database, combined with the multi-party collaborative operation needs at the construction site, to determine the target recipients and transmission order of each piece of information, resulting in a customized information transmission scheme, including: For the list of key information, the transmission rules related to the construction site are obtained from the pre-built propagation path database. Combined with the operational needs of multi-party collaboration, the transmission objectives of each piece of information are analyzed to determine the preliminary information distribution framework. Based on the preliminary information distribution framework, real-time on-site demand data of the construction site is obtained, and the delivery targets are sorted according to the preset priority rules to obtain the adjusted delivery order list. By using the adjusted delivery order list, we obtain the corresponding work requirements information for each participant in the multi-party collaboration, use information matching tools to verify the delivery order, and determine the final delivery order scheme. Based on the final delivery order scheme, historical delivery records related to the personalized case are extracted from the database source, and their adaptability to the current construction site environment is analyzed. If the adaptability is lower than the preset threshold, the adjustment mechanism is triggered to obtain the optimized distribution strategy. For the optimized distribution strategy, obtain the correlation data between key information and the delivery target, use the support vector machine model to predict potential conflicts in information distribution, determine whether there are potential conflicts, and obtain conflict detection results. Based on the conflict detection results, for information distribution paths with potential risks, path optimization tools are used to replan the dissemination path, and combined with on-site and operational needs, the final personalized information distribution plan is determined. Based on the final personalized information distribution plan, the content to be delivered in the information list is obtained, and the data is encapsulated according to the delivery order and target recipient to obtain a set of executable information delivery tasks.

5. The on-site installation method for prefabricated components based on Internet of Things technology according to claim 1, characterized in that, The customized information transmission scheme distributes key information to target recipients in a predetermined order, employs an encrypted transmission channel to ensure information integrity during transmission, and retrieves the distributed transmission records, including: For key information, retrieve the delivery plan related to the distribution task from the pre-established database, analyze the classification and priority of the information, and determine the preliminary delivery order; Based on the initial transmission order and combined with the real-time status data of the target recipient, the information arrangement is adjusted according to preset rules to obtain an optimized task execution list; By optimizing the task execution list, the channel configuration related to secure transmission is obtained, and encryption tools are used to protect the transmission channel to determine a secure transmission environment. For a secure transmission environment, key information is encapsulated according to information arrangement and transmission order, and combined with the specific requirements of the distribution task, executable distribution data is obtained. Based on the executable distribution data, information is distributed through the configured transmission channel, and the distribution process is monitored in real time to obtain distribution status and data tracking records. If the distribution status of the acquired data tracking records shows an anomaly, a preset remedial mechanism will be triggered to readjust the delivery plan and determine the final distribution result. Based on the final distribution results, the records are saved to a pre-established repository, and the saved records are categorized and archived to obtain a complete distribution data archive.

6. The on-site installation method for prefabricated components based on Internet of Things technology according to claim 1, characterized in that, The process involves real-time monitoring of feedback data from the information receiver based on the distributed transmission records. If the feedback data indicates that the information has not been correctly received or is misunderstood, an adaptive adjustment mechanism is triggered to recalculate the transmission path and determine a new transmission scheme, including: For the transmission records, a pre-established monitoring system is used to obtain feedback data from the information recipient in real time, determine whether the feedback data contains indications of inaccurate reception or deviation, and obtain a preliminary assessment of the reception status. Based on the initial reception status assessment, if the feedback data indicates that the information has not been accurately received or has a deviation, an adaptive adjustment process is initiated to obtain historical data related to the transmission path and determine the priority direction of the adjustment process. Based on the priority direction of the adjustment process, alternative transmission paths are obtained from the pre-established path database, and the feasibility of the paths is screened using preset rules to obtain a set of candidate paths that meet the conditions. By combining the candidate path set with the deviation information in the feedback data, a logical judgment method is used to determine the final transmission path. If the deviation is caused by transmission delay, the low-latency path is selected first; if the deviation is caused by data loss, the high-stability path is selected first. Based on the final delivery path, obtain the configuration parameters related to the distribution scheme, dynamically adjust the parameters, and obtain the updated distribution scheme framework. For the updated distribution scheme framework, the feasibility of the scheme is tested using pre-established verification tools to determine whether there are any potential conflicts, and a verified distribution scheme is derived. Based on the verified distribution scheme, the information is repackaged using a secure transmission channel, and the final distribution execution plan is determined by combining the real-time acquired receiver status data.

7. The on-site installation method for prefabricated components based on Internet of Things technology according to claim 1, characterized in that, The proposed new transmission scheme, taking into account the complex dynamic changes at the construction site, adjusts the scope and method of information dissemination. The information distribution status is updated through a multi-party collaborative operation platform to obtain the adjusted dissemination results, including: By using a pre-established monitoring system, dynamic change data of the construction site is obtained. Combined with the information dissemination requirements in the transmission plan, it is determined whether the dissemination range meets the current site conditions. If the range is insufficient, the dissemination coverage area is expanded to obtain the adjusted dissemination range data. Based on the adjusted propagation range data, obtain the configuration information related to the propagation method, and use preset rules to filter the propagation methods. If the dynamic changes on site indicate significant communication interference, prioritize the propagation method with higher stability and determine the final propagation method scheme. For the final dissemination method, the current information distribution status data is obtained from the multi-party collaborative operation platform. By comparing it with the preset threshold, it is determined whether the distribution status meets the real-time requirements, and the evaluation result of the distribution status is obtained. Based on the evaluation results of the distribution status, obtain the collaboration data related to multi-party collaboration, and use a logical matching method. If the collaboration data indicates that there is information lag, adjust the priority of information distribution and determine the updated distribution status information. By combining the updated distribution status information with dynamic change data at the construction site, and using a pre-established decision-making model, we can determine whether the information dissemination covers all relevant parties and obtain the verification results of the dissemination coverage. Based on the verification results of the propagation coverage, feedback data on the adjustment results are obtained from the operation platform. By comparing with historical propagation results, it is determined whether there are any deviations and the final propagation result data is determined. Based on the final dissemination results data, the information is repackaged using a secure transmission channel, and combined with the status updates of the multi-party collaborative operation platform, an adjusted information dissemination execution plan is derived.

8. The on-site installation method for prefabricated components based on Internet of Things technology according to claim 1, characterized in that, Based on the adjusted propagation results, the process analyzes information redundancy and omission risks, compares the propagation results using preset verification rules, and generates supplementary information or deletion instructions if redundancy or omission is found, thereby obtaining the optimized information flow. This includes: For the dissemination results data, the complete content in the information flow is obtained, and the information flow is compared item by item using preset verification rules to determine whether there are any redundancies or omissions, and to obtain preliminary analysis results. Based on the preliminary analysis results, the specific distribution data of the redundancy phenomenon is obtained. If the redundancy phenomenon exceeds the preset threshold, a deletion instruction is generated to determine the processing plan for the redundant part. Based on the analysis results of potential omissions, relevant identifiers of missing content are extracted from the information flow. If the missing content affects the integrity of the information, supplementary information is generated to obtain the filling data for the missing parts. By supplementing information and deleting instructions, combined with the original structure of the information flow, the information flow is reorganized using a logical matching method. The reorganized information flow is then judged to determine whether it meets the preset integrity standard, and the reorganized information flow data is obtained. For the reorganized information flow data, relevant indicators of optimization information are obtained, and the information flow is verified a second time using a preset evaluation model. If the optimization information does not meet the preset standard, the execution order of supplementary information or deletion instructions is adjusted to determine the final optimization information data. Based on the final optimized information data, the distribution status of information flow in the propagation results is obtained. By comparing with historical data, it is determined whether there are potential hidden danger identification problems, and the verification results of hidden danger identification are obtained. Based on the verification results of the hazard identification, the information flow is adjusted in a rule-based manner. If the verification results show that there are still hazard omissions, relevant content is extracted from the backup data source to supplement them, and the adjusted final information flow data is obtained.

9. The on-site installation method for prefabricated components based on Internet of Things technology according to claim 1, characterized in that, The optimized information flow is continuously updated using the data acquisition module supported by IoT technology. Combined with real-time data acquisition, it determines whether the information flow meets the requirements of the dynamic coordination mechanism, obtaining the final coordination status data, including: With the support of IoT technology, real-time data is acquired from the data acquisition module, the content of the information flow is dynamically monitored, and it is determined whether the information flow matches the preset mechanism standards to obtain preliminary coordination status data. Based on the preliminary coordination status data, the analysis function is used to compare the real-time data in the information flow. If the real-time data deviates from the dynamic coordination standard, an adjustment instruction is triggered to determine the adjusted information flow content. For the adjusted information flow content, the latest data flow supported by the Internet of Things is obtained through the continuous update module, the matching degree between the data flow and the optimized information flow is analyzed, and the matching status evaluation data is obtained. Based on the evaluation data of the matching status, if the matching degree does not meet the mechanism standard, relevant data is extracted from the backup data source to supplement it, and the supplemented information flow structure is determined. For the supplemented information flow structure, a pre-established dynamic coordination model is used to perform a secondary verification of the information flow, and the verification result is used to determine whether it meets the requirements of the coordination state, so as to obtain the verified state data. By comparing the final data with the real-time data using the verified status data, if the comparison results show a deviation, the information flow is locally optimized to determine the final coordinated status data. Based on the final coordination status data, a logical mapping method is used to associate and store the information flow with the dynamic coordination mechanism, resulting in a persistent record of the optimized information flow under the mechanism standard.

10. The on-site installation method for prefabricated components based on Internet of Things technology according to claim 1, characterized in that, The process involves synchronously updating the information databases of each work team and management at the construction site using the final coordinated status data, employing distributed storage technology to ensure data consistency, and completing a closed loop for the automatic identification and accurate transmission of information. This includes: For the coordination status data, distributed storage technology is used to synchronously update the information repository of each work team and management level at the construction site to obtain the updated repository status data. Based on the updated repository status data, and in response to the information exchange needs between work teams and management levels, automatic identification technology is used to classify the data flow and determine the structure of the classified data flow. Based on the classified data flow structure, and in response to data consistency requirements, if inconsistent records are detected in the data flow structure, a synchronization correction mechanism is triggered to obtain the corrected data flow records. Obtain the corrected data flow records. To meet the need for accurate transmission, use pre-established mapping rules to optimize the distribution path of the data flow records, determine whether the distribution path meets the closed-loop management standard, and determine the optimized distribution path data. Based on the optimized distribution path data, for the implementation of the complete process, an information verification tool is used to perform consistency checks on the distribution path data. If the check results show that there is a deviation, the path allocation is readjusted to obtain the adjusted path allocation data. Based on the adjusted path allocation data, and in line with the goal of closed-loop management, logical association technology is used to bind and store the path allocation data with the real-time status of the construction site, thereby obtaining the bound status association data.

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