CN-121563124-B - Dynamic management method and system for construction cost settlement based on blockchain

CN121563124BCN 121563124 BCN121563124 BCN 121563124BCN-121563124-B

Abstract

The application provides a dynamic management method and a system for engineering cost settlement based on a blockchain, which relate to the technical field of engineering management and are used for acquiring position information, quantity information, specification information and material consumption data of incoming material equipment in an engineering cost settlement stage, simulating the consumption process of the incoming material equipment by utilizing a digital twin model according to the material consumption data to generate a simulated consumption list, locally preprocessing the result of the steps through an edge computing node driven by the blockchain to obtain an initial data set and encrypt the initial data set to obtain an encrypted data set, verifying and performing quota matching processing on the encrypted data set to obtain quota matching information, and dynamically updating the engineering cost settlement amount by combining material inventory data so as to realize closed-loop management of the material equipment from the incoming verification stage, the construction loss tracking stage to the expense settlement stage, thereby improving the real-time property, the safety and the closed-loop management and control capability of the engineering cost settlement.

Inventors

Zeng Congbing
DING YONGFENG
HE SONG
FENG WENBIAO
LI DAN
MA XIAOYUN
YANG BAOPING
WANG FENGXIA

Assignees

中天成建筑工程管理咨询(北京)有限公司

Dates

Publication Date: 20260508
Application Date: 20251127

Claims (9)

1. The dynamic management method for the construction cost settlement based on the blockchain is characterized by comprising the following steps of: Acquiring position information, quantity information, specification information and material consumption data of incoming material equipment in a construction cost settlement stage, wherein the material consumption data comprises material state data, construction environment data, construction operation related data, material inventory data and material quality detection data; Simulating the consumption process of the incoming material equipment in the corresponding operation flow and the predicted construction time by utilizing a pre-constructed digital twin model according to the material consumption data, and generating a simulated consumption list; Locally preprocessing the position information, the quantity information, the specification information, the material consumption data and the simulated consumption list of the incoming material equipment through a block chain driven edge computing node to obtain an initial data set; encrypting the initial data set to obtain an encrypted data set; Verifying and quota matching the encrypted data set to obtain quota matching information, and dynamically updating the settlement amount of the engineering cost by combining the stock data of the materials so as to realize closed-loop management of the material equipment from an entrance verification stage, a construction loss tracking stage to a cost settlement stage; Encrypting the initial data set to obtain an encrypted data set, including: Extracting equipment unique identifiers corresponding to all the field material equipment from the initial data set, and generating an attribute identifier set based on the equipment unique identifiers, wherein the attribute identifier set comprises equipment type codes, production batch codes and specification parameter codes; determining encryption attribute association rules corresponding to the attribute identification sets according to authorized access rules of the engineering cost management platform; generating encryption sub-keys corresponding to each attribute dimension based on the encryption attribute association rule and the attribute dimension of the unique identifier of the equipment, and integrating each encryption sub-key into a global encryption key through an attribute association algorithm; encrypting the initial data set according to the global encryption key to form an initial encrypted data set; Binding a node identity of a blockchain-driven edge computing node with an initial encryption data set to generate an encryption credential, and combining the initial encryption data set to form an encryption data set, wherein the encryption credential comprises the node identity, an attribute encryption policy index and global encryption key verification information.
2. The method of claim 1, wherein simulating the consumption of the incoming material device within the corresponding operational flow and the predicted construction duration using a pre-constructed digital twin model based on the material consumption data, generating a simulated consumption inventory, comprises: determining the sequence of construction process nodes, the predicted construction time, the material use scene and the connection interval time of adjacent construction process nodes according to the construction process nodes in the material consumption data, the standard consumption parameters corresponding to the construction processes, the batch information of the material equipment for entering the field and the process connection record; performing association matching on the specification information and the batch information of the field material equipment and the adaptation requirements of the use scenes of the materials to form a scene matching table; Constructing an environment parameter set by utilizing a pre-constructed digital twin model according to construction environment data corresponding to each construction procedure node; According to the material quality detection data of each batch of equipment in the scene matching table, calculating consumption rate correction values of different batches of equipment under corresponding environment humiture, and generating a material consumption table of the incoming material equipment under corresponding environment humiture by combining material state data and an environment parameter set; According to the operation qualification grade corresponding to constructors in the construction operation related data and the sequence of construction procedure nodes, standard consumption parameters corresponding to each construction procedure are adjusted to obtain target consumption parameters; based on the process actual consumption standard, the material consumption table, the scene matching table and the material inventory data corresponding to each construction process, the digital twin model simulates the consumption process of the entering material equipment in the corresponding operation flow and the predicted construction time, and a simulated consumption list is generated by combining the scene matching table.
3. The method of claim 2, wherein constructing an environmental parameter set using a pre-constructed digital twin model from construction environment data corresponding to each construction process node comprises: generating environment parameter sets corresponding to different time intervals of each construction process node according to construction environment data corresponding to each construction process node, the sequence of the construction process nodes and the predicted construction time length; Extracting construction area coordinates corresponding to each construction procedure node from the position information of the approach material equipment, and associating the environment parameter sets corresponding to each construction procedure node with the construction area coordinates to determine the space range corresponding to each environment parameter set; loading a space model corresponding to each construction area coordinate in a pre-constructed digital twin model according to the space range corresponding to each environment parameter set and the sequence of construction process nodes, and binding the environment parameter set corresponding to each construction area coordinate with the space model to form an environment simulation unit corresponding to each construction process node; And extracting the coordinate of the adaptive construction area, the adaptive time interval corresponding to each construction procedure node and the construction environment parameters in each adaptive time interval from each environment simulation unit after verification by the digital twin model to form an environment parameter set.
4. The method of claim 2, wherein simulating, based on the process actual consumption benchmark, the materials consumption table, the scene matching table, and materials inventory data corresponding to each construction process, the consumption process of the incoming materials equipment within the corresponding operational process and the predicted construction duration by the digital twin model, in combination with the scene matching table, generating a simulated consumption list comprises: Calculating the consumption amount of unit materials in unit time according to the target consumption parameters of each construction process node and the consumption rate correction value of the corresponding batch in the material consumption table; Dividing a plurality of time slices according to the expected construction duration of each construction procedure node, simulating the consumption process of the material entering equipment through the digital twin model according to the time sequence of the time slices and the corresponding operation flow, and calculating the material consumption quantity at the end of each time slice by combining the unit material consumption quantity so as to obtain simulated consumption data; When the connection interval time between adjacent construction process nodes is simulated, calculating the natural loss quantity and the stock remaining quantity of each construction process node according to the natural loss rate of corresponding batch equipment in the material consumption table under the corresponding environment; in the simulation process, comparing the stock remaining amount with the stock threshold value of the corresponding construction process node in the scene matching table, and generating a material adjustment record of the target stock node when the target stock node with the stock remaining amount smaller than the stock threshold value exists; and integrating the simulated consumption data, the natural consumption amount, the material adjustment record and the scene matching table of each construction process node to generate a simulated consumption list.
5. The method of claim 1, wherein locally preprocessing the location information, quantity information, specification information, the material consumption data, and the simulated consumption inventory of the incoming material device by a blockchain-driven edge computing node to obtain an initial dataset, comprising: extracting a unique device identifier from the specification information of the field material device through a block chain driven edge computing node, generating a first hash value corresponding to the unique device identifier based on a block chain hash algorithm, and integrating the specification information, the position information and the quantity information of the field material device by taking the first hash value as an association reference to form an association table; According to a pre-stored inter-node data association rule in the block chain, matching material state data, construction environment data, construction operation association data and material inventory data corresponding to each construction process node with the association table to form a first association data set; according to the block chain transaction format, binding the simulated consumption data, the natural consumption and the material adjustment record corresponding to each construction process node with the first association data set to generate a second association data set; Classifying and integrating various data in the second associated data set according to the time sequence rule of the construction process node prestored in the block chain to form a process grouping data set; and according to the data acquisition time corresponding to various data, arranging the data of each group in the procedure group data set to obtain arranged information, and distributing association identifiers based on a block chain structure for the arranged information to form an initial data set.
6. The method of claim 1, wherein performing verification and quorum matching processing on the encrypted data set to obtain quorum matching information comprises: According to the attribute encryption strategy index and the encryption attribute association rule in the encrypted data set, combining the platform authorization access rule and the attribute dimension decoding permission of the unique identifier of the equipment, performing decryption processing on the initial encrypted data set to obtain a decrypted data set; calculating a second hash value based on the decrypted data set, comparing the second hash value with a first hash value in the decrypted data set, and simultaneously comparing a node identity in the decrypted data set with a node identity of a target edge node prestored in an engineering cost management platform to obtain a verification data set; matching the simulated consumption data and the natural consumption amount in the verification data set with corresponding engineering quota standards respectively to calculate quota matching amounts of all construction process nodes; And calculating the purchasing cost and the transportation cost of the supplementary materials according to the stock remaining amount and the material adjustment record of each construction process node, and generating quota matching information by combining the quota matching amount of each construction process node.
7. A dynamic management system for settlement of construction costs based on a blockchain, which is used for the dynamic management method for settlement of construction costs based on a blockchain as set forth in any one of claims 1 to 6, comprising: The system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring position information, quantity information, specification information and material consumption data of incoming material equipment in a construction cost settlement stage, wherein the material consumption data comprises material state data, construction environment data, construction operation related data, material inventory data and material quality detection data; The simulation module is used for simulating the consumption process of the material entering equipment in the corresponding operation flow and the predicted construction time by utilizing a pre-constructed digital twin model according to the material consumption data, and generating a simulation consumption list; the processing module is used for carrying out local preprocessing on the position information, the quantity information, the specification information, the material consumption data and the simulation consumption list of the field material equipment through the edge computing node driven by the block chain to obtain an initial data set; The encryption module is used for carrying out encryption processing on the initial data set to obtain an encrypted data set; and the updating module is used for verifying the encrypted data set and performing quota matching processing to obtain quota matching information, and dynamically updating the settlement amount of the engineering cost by combining the stock data of the materials so as to realize closed-loop management of the material equipment from an approach verification stage, a construction loss tracking stage to a cost settlement stage.
8. A computing device comprising a processing component and a storage component, the storage component storing one or more computer instructions for execution by the processing component, the one or more computer instructions to implement a blockchain-based dynamic management method of engineering cost settlement as claimed in any one of claims 1 to 6.
9. A computer storage medium storing a computer program which, when executed by a computer, implements a blockchain-based dynamic management method for engineering cost settlement as claimed in any one of claims 1 to 6.

Description

Dynamic management method and system for construction cost settlement based on blockchain Technical Field The application relates to the technical field of engineering management, in particular to a block chain-based dynamic management method and system for settlement of engineering cost. Background Under the background of increasing complexity of current large-scale infrastructure and constructional engineering, the settlement of engineering cost is in urgent need of realizing high-precision, real-time and multiparty collaborative dynamic management. In particular, in links such as material equipment approach, construction process loss tracking and final cost accounting, project participants put higher requirements on the authenticity, timeliness and non-falsifiability of data, and the traditional static rating pricing mode is difficult to adapt to the actual scene that the material consumption is dynamically influenced by multidimensional factors such as environment, operation, inventory and the like in the construction process. At present, the existing scheme is combined with a centralized cloud platform through an Internet of things sensor, position, quantity and state data of construction site materials are collected in real time, theoretical consumption is deduced according to a building information model and compared with actual consumption to dynamically adjust settlement basis, however, the existing scheme is easy to support local low-time delay decision due to dependence on centralized processing and is easy to be influenced by single-point faults and network delay, the data is easy to tamper or selectively report, a multiparty trust mechanism is lacked, disputes are caused, and multisource data is not effectively preprocessed and encrypted at the edge side, so that information leakage and counterfeiting risks exist, and the whole process reliability closed-loop management is difficult to realize. Disclosure of Invention The application aims to provide a dynamic management method and a system for engineering cost settlement based on a blockchain, which are used for solving the problems of easy data tampering, response delay and lack of trusted closed-loop management caused by a centralized architecture in the prior art. In order to solve the above technical problems, in a first aspect, the present application provides a dynamic management method for settlement of construction cost based on blockchain, comprising: Acquiring position information, quantity information, specification information and material consumption data of incoming material equipment in a construction cost settlement stage, wherein the material consumption data comprises material state data, construction environment data, construction operation related data, material inventory data and material quality detection data; Simulating the consumption process of the incoming material equipment in the corresponding operation flow and the predicted construction time by utilizing a pre-constructed digital twin model according to the material consumption data, and generating a simulated consumption list; Locally preprocessing the position information, the quantity information, the specification information, the material consumption data and the simulated consumption list of the incoming material equipment through a block chain driven edge computing node to obtain an initial data set; encrypting the initial data set to obtain an encrypted data set; And verifying and performing quota matching processing on the encrypted data set to obtain quota matching information, and dynamically updating the settlement amount of the engineering cost by combining the stock data of the materials so as to realize closed-loop management of the material equipment from an approach verification stage, a construction loss tracking stage to a cost settlement stage. Optionally, according to the material consumption data, simulating a consumption process of the approach material equipment in a corresponding operation flow and a predicted construction duration by using a pre-built digital twin model, and generating a simulated consumption list, including: determining the sequence of construction process nodes, the predicted construction time, the material use scene and the connection interval time of adjacent construction process nodes according to the construction process nodes in the material consumption data, the standard consumption parameters corresponding to the construction processes, the batch information of the material equipment for entering the field and the process connection record; performing association matching on the specification information and the batch information of the field material equipment and the adaptation requirements of the use scenes of the materials to form a scene matching table; Constructing an environment parameter set by utilizing a pre-constructed digital twin model according to construction environment data corresponding to each