CN115760018A - Intelligent construction site management method, device and system and computer readable storage medium - Google Patents
Intelligent construction site management method, device and system and computer readable storage medium Download PDFInfo
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Abstract
The invention discloses an intelligent construction site management method, device and system and a computer readable storage medium, and belongs to the technical field of intelligent construction sites. The method comprises the following steps: acquiring basic engineering information and actual engineering conditions, wherein the basic engineering information comprises an engineering contract text and engineering requirements; carrying out structured disassembly on the engineering contract text to obtain contract terms of each category; and sending early warning information to the corresponding participating units according to the actual engineering situation, the engineering requirements and the contract clauses of each category so as to prompt the participating units to fulfill the contract clauses. The invention takes contract management as a gripper fundamentally, and can give accurate early warning to engineering projects in time, thereby aiming at realizing comprehensive and efficient management of a construction site.
Description
Technical Field
The invention relates to the field of intelligent construction sites, in particular to an intelligent construction site management method, device and system and a computer readable storage medium.
Background
The building industry, one of national economy pillar industries, makes important contributions to promotion of economic and social development, promotion of novel urbanization construction, guarantee and improvement of people's life. Compared with other industries, the management mode in the construction stage of the building industry is mainly managed by people, and the problems of extensive management mode, low management efficiency, low digitalization and intelligentization level and the like exist, so that the method is not suitable for the theme of national high-quality development.
In recent years, "intelligent site" is being promoted nationwide as an innovative management means. The intelligent construction site is an intelligent construction site with informationization, digitization, networking and synergy by applying modern information technologies such as big data, internet of things and cloud computing.
The construction progress and the risk prevention of the main focus job site of current wisdom building site cloud platform belong to one kind of local wisdom management, because local wisdom management is one kind with the holistic management mode of local representation for final management result can be because of not comprehensive and the distortion, leads to participating in the execution circumstances that the unit can't in time know building engineering, can't the accuracy in time make construction adjustment.
The above is only for the purpose of assisting understanding of the technical solution of the present invention, and does not represent an admission that the above is the prior art.
Disclosure of Invention
The invention mainly aims to provide a method, a device and a system for managing a smart construction site and a computer readable storage medium, and aims to solve the technical problem that the existing smart construction site cloud platform cannot accurately early warn an engineering project in time.
In order to achieve the above object, the present invention provides an intelligent worksite management method, including the steps of:
acquiring basic engineering information and actual engineering conditions, wherein the basic engineering information comprises an engineering contract text and engineering requirements;
carrying out structured disassembly on the engineering contract text to obtain contract terms of each category;
and sending early warning information to corresponding participating units according to the project actual conditions, the project requirements and the contract clauses of each category so as to prompt the participating units to fulfill the contract clauses.
Optionally, the engineering practical situation includes quality behavior big data, the engineering requirement includes a quality behavior management file and a preset quality behavior threshold, and the step of sending the early warning information to the corresponding participating unit according to the engineering practical situation, the engineering requirement and the contract terms of each category includes:
carrying out structured disassembly on the quality behavior management file to obtain structured quality behavior information;
comparing the quality behavior big data with the structured quality behavior information and contract terms of corresponding categories to obtain a quality behavior analysis result;
and if the quality behavior analysis result reaches or exceeds the preset quality behavior threshold value, sending early warning information to a corresponding participating unit.
Optionally, the engineering practical situation includes quality data, the engineering requirement includes a technical standard specification and a preset quality data threshold, and the step of sending the warning information to the corresponding participating unit according to the engineering practical situation, the engineering requirement and the contract terms of each category includes:
carrying out structured disassembly on the quality data to obtain structured quality data information;
comparing the structured quality data information with the technical standard specification and contract terms of corresponding categories to obtain a quality data analysis result;
and if the quality data analysis result reaches or exceeds the preset quality data threshold value, sending early warning information to a corresponding participating unit.
Optionally, the engineering practical situation includes a total actual progress, the engineering requirement includes a total planned progress, a construction process and an engineering three-dimensional model, and the step of sending the early warning information to the corresponding participating unit according to the engineering practical situation, the engineering requirement and the contract terms of each category includes:
splitting the total planned progress into a planned progress label according to the construction process and a target construction period in contract terms of corresponding categories, and splitting the total actual progress into an actual progress label according to the construction process;
matching the planned progress label with the engineering three-dimensional model to generate a dynamic engineering three-dimensional model;
matching the actual progress label with the engineering three-dimensional model to generate a modified dynamic engineering three-dimensional model;
determining a deviation probability and a deviation cost based on the dynamic engineering three-dimensional model and the corrected dynamic engineering three-dimensional model;
and sending early warning information to corresponding participating units according to the deviation probability and the deviation cost.
Optionally, the participating units include direct participating units, the engineering requirements include a preset progress early warning threshold, and the step of sending early warning information to the corresponding participating units according to the deviation probability and the deviation cost includes:
determining a progress analysis result according to the deviation probability and the deviation cost, wherein the progress analysis result comprises a deviation state and a deviation amount;
if the deviation state is after the progress delay and the deviation amount is smaller than the preset progress early warning threshold value, sending early warning information to a corresponding direct participation unit;
and if the deviation state is after the progress delay and the deviation amount is greater than or equal to the preset progress early warning threshold value, sending early warning information to the corresponding participating units.
Optionally, the engineering practical situation includes entrance guard management information, electronic fence information, site monitoring information, mechanical equipment monitoring information, and vehicle monitoring information, the engineering requirement includes a safety standard and a weight coefficient, and the step of sending the warning information to the corresponding participating unit according to the engineering practical situation, the engineering requirement, and the contract terms of each category includes:
respectively comparing the access control management information, the electronic enclosure information, the site monitoring information, the mechanical equipment monitoring information and the vehicle monitoring information with the safety standard to determine corresponding risk loss amount and risk probability;
determining a corresponding risk amount according to the corresponding risk loss amount and risk probability;
determining a comprehensive risk amount according to the risk amount and the weight coefficient;
and sending early warning information to corresponding participating units according to the comprehensive risk amount and contract terms of corresponding categories.
Optionally, the step of sending early warning information to the corresponding participating entity according to the comprehensive risk amount and the contract terms of the corresponding category includes:
if the comprehensive risk amount is smaller than a preset comprehensive risk amount threshold value in the contract clauses of the corresponding categories, sending low-level early warning information to the corresponding participating units;
and if the comprehensive risk is greater than or equal to a preset comprehensive risk threshold in the contract clauses of the corresponding categories, sending high-level early warning information to the corresponding participating units.
In addition, to achieve the above object, the present invention also provides an intelligent worksite management apparatus, including:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring basic engineering information and actual engineering conditions, and the basic engineering information comprises an engineering contract text and engineering requirements;
the structural module is used for performing structural disassembly on the engineering contract text to obtain contract terms of various categories;
and the early warning module is used for sending early warning information to corresponding participating units according to the project actual conditions, the project requirements and the contract clauses of all categories so as to prompt the participating units to fulfill the contract clauses.
In addition, to achieve the above object, the present invention also provides an intelligent worksite management system, including: a memory, a processor and a computer program stored on the memory and executable on the processor, the computer program configured to implement the steps of the intelligent worksite management method.
In addition, to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the intelligent worksite management method.
In one technical scheme provided by the invention, the basic engineering information and the actual engineering condition are obtained, then the engineering contract text in the basic engineering information is structured and disassembled to obtain contract terms of each category, the engineering requirement and the contract terms of each category are used as standard standards, the actual engineering condition is compared and analyzed, and finally early warning information is sent to the corresponding participating units according to the analysis result to prompt the participating units to fulfill the contract terms. Compared with the prior art that the engineering project is managed only by construction progress and risk prevention of a construction site, the technical scheme provided by the invention fundamentally takes contract management as a gripper, and based on the actual engineering situation, the engineering requirements and the analysis results of various types of contract terms, accurate early warning information about the engineering project is timely sent to corresponding participating units so as to prompt the participating units to fulfill the contract terms and timely take remedial measures, so that the standardization and orderliness of the aspects of the progress, quality, safety and the like of the engineering project are further ensured, the refinement and intelligentization level of the engineering management is improved, and the comprehensive and efficient management of the construction site is realized.
Drawings
FIG. 1 is a schematic diagram of an intelligent worksite management system for a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a system block diagram of an intelligent worksite management system according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a first embodiment of the intelligent worksite management method of the present invention;
FIG. 4 is a flowchart illustrating a second embodiment of the intelligent worksite management method of the present invention;
FIG. 5 is a flowchart illustrating a third exemplary embodiment of a method for intelligent site management according to the present invention;
FIG. 6 is a flowchart illustrating a fourth exemplary embodiment of an intelligent worksite management method according to the present invention;
FIG. 7 is a flowchart illustrating a sixth exemplary embodiment of a method for intelligent site management according to the present invention;
FIG. 8 is a functional block diagram of an intelligent worksite management apparatus according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an intelligent worksite management system of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the intelligent worksite management system may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to implement connection communication among these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) Memory, or may be a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of the intelligent worksite management system, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of storage medium, may include therein an operating system, a data storage module, a network communication module, a user interface module, and a computer program.
In the intelligent worksite management system shown in FIG. 1, network interface 1004 is primarily used for data communication with other systems; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the intelligent worksite management system according to the present invention may be provided in the intelligent worksite management system, and the intelligent worksite management system calls the computer program stored in the memory 1005 through the processor 1001 and executes the intelligent worksite management method according to the embodiment of the present invention.
In specific implementation, the intelligent site management method may be applied to an intelligent site management system, which is integrated by a plurality of functional subsystems, and specifically, the intelligent site management system includes: the basic data subsystem is used for acquiring basic Information of an engineering project by the system after manual input is finished, screening and reading a construction drawing from the basic Information, and then carrying out BIM (Building Information Modeling) three-dimensional Modeling based on the content of the construction drawing; the contract management subsystem is used for disassembling the engineering contract text in the basic information into contract terms of various categories, then encrypting and distributing the contract terms of various categories to each participating unit, and sending out early warning to each participating unit according to the contract fulfillment condition; the progress management subsystem is used for importing the total planned progress and the total actual progress in the basic information, respectively generating a dynamic three-dimensional model and a modified dynamic three-dimensional model so as to judge whether the project progress has delay risks and send out progress early warning; the quality management subsystem comprises a quality behavior management part and an entity quality management part, analyzes the quality behavior big data and the quality data in the basic information, and judges and warns according to the analysis result; and the safety management subsystem calculates comprehensive risk amount and makes safety early warning by monitoring the entrance guard of the project entrance and exit, the electronic enclosure, the real-time field monitoring, the mechanical equipment operation monitoring and the vehicle monitoring.
Optionally, the basic data subsystem includes a basic information entry module, a drawing reading module and a three-dimensional modeling module: the basic information input module is used for acquiring basic information such as manually input engineering project general profiles, general profiles of each participating unit, engineering technicians, construction procedures, quality standards, engineering contract texts, engineering actual conditions and the like, and automatically generating index tags by the system for other subsystems to read and call; the reading drawing module firstly reads the format of the engineering construction drawing, and then reads the construction drawing content according to the software interfaces corresponding to the construction drawings with different formats; the three-dimensional modeling module carries out BIM three-dimensional modeling on the construction drawing content read by the drawing reading module to form an engineering three-dimensional model, and the engineering three-dimensional model can be corrected through later-stage design drawing change.
Optionally, the contract management subsystem includes a contract structuring module, a clause distribution module, and a contract early warning module: the contract structuring module is used for structuring and disassembling the engineering contract texts in the basic information, namely, all contract clauses are divided in detail according to an agreed rule to obtain contract clauses of various categories; the clause distribution module correspondingly distributes contract clauses of various categories to the management terminals of the participating units so as to restrict the related participating units to fulfill the contracts; the contract early warning module receives early warning information of the progress management subsystem, the quality management subsystem and the safety management subsystem, judges default risks, sends out early warning information to related participating units, or synthesizes the early warning information sent out by the three subsystems, and then sends out comprehensive early warning information to the related participating units.
Optionally, the progress management subsystem includes a progress plan importing module, a dynamic model generation module, an actual progress entering module, a progress AI analysis module, and a progress early warning module: the schedule import module divides the total schedule into schedule progress tags according to the construction process and the target construction period in the contract terms of the corresponding categories; the dynamic model generation module is used for matching the planned progress label with the engineering three-dimensional model to generate a dynamic engineering three-dimensional model; actual progress entryThe module inputs the total actual progress according to a certain frequency, splits the total actual progress into actual progress tags according to the construction process, and then matches the actual progress tags with the engineering three-dimensional model to generate a modified dynamic engineering three-dimensional model; the progress AI analysis module carries out big data analysis and calculation on a dynamic three-dimensional model generated by the planned progress label and the actual progress label and the modified dynamic three-dimensional model, judges the progress state of the project, and pre-judges whether the target construction period is delayed or not, wherein the deviation probability (the advance or delay influence probability) of the target construction period is P 1 Resulting in a deflection cost (engineering cost savings or added cost) of C 1 The progress analysis result is S 1 ＝P 1 ×C 1 (ii) a The progress early warning module receives a progress analysis result S 1 And a preset progress early warning threshold S Y And comparing, and sending or not sending out progress early warning information:
(1) Progress advancement
S 1 ≥S Y Sending excess reward early warning information to a contract early warning module;
S 1 ＜S Y sending out normal reward early warning information to a contract early warning module;
(2) Progress delay
S 1 ≥S Y Sending out the progress delay early warning information to a contract early warning module, and reminding each participating unit to take corresponding measures;
S 1 ＜S Y sending progress delay early warning information to a contract early warning module and reminding a direct participating unit to take a countermeasure;
(3) Progress is normal
P 1 And =0, no progress warning information is sent to the contract warning module.
Optionally, the quality management subsystem comprises a quality behavior management module and an entity quality management module.
The quality behavior management module comprises a quality behavior leading-in unit, a quality behavior AI identification unit, a quality behavior AI judgment unit and a quality behavior AI early warning unit: the quality behavior import unit uploads and imports quality behavior management files such as qualification, personnel qualification, quality system, quality files and the like of the participating units; the quality behavior AI identification unit performs AI identification and extraction on the quality behavior management file to generate structured quality behavior information; the quality behavior AI judgment unit analyzes and compares the structured quality behavior information with the quality behavior big data and contract clauses of corresponding categories; the quality behavior AI early warning unit compares the analysis result of the quality behavior AI judgment unit with a preset quality behavior threshold value, and sends quality behavior early warning information to the contract early warning module when the analysis result reaches or exceeds the preset quality behavior threshold value, and does not send the quality behavior early warning information to the contract early warning module when the analysis result does not reach the preset quality behavior threshold value.
The entity quality management module comprises a quality data import unit, a quality data AI identification unit, a quality data AI judgment unit and a quality data AI early warning unit: the quality data import unit uploads and imports quality data obtained by quality acceptance of each construction process, project and unit project; the quality data AI identification unit performs AI identification and extraction on the quality data to generate structured quality data information; the quality data AI judgment unit analyzes and compares the structured quality data information with contract terms of the corresponding category of the technical standard specification; the quality data AI early warning unit compares the analysis result of the quality data AI judgment unit with a preset quality data threshold value, and sends quality data early warning information to the contract early warning module when the analysis result reaches or exceeds the preset quality data threshold value, and does not send the quality data early warning information to the contract early warning module when the analysis result does not reach the preset quality data threshold value.
Optionally, the safety management subsystem includes entrance guard management module, electronic fence module, place monitoring module, mechanical equipment monitoring module, vehicle monitoring module, danger source AI identification module and safety precaution module: the access control management module compares the information of the personnel at the entrance and exit of the project with the information of the project personnel database, can check the attendance of project workers, effectively intercepts the intrusion of non-project personnel into a construction site, and sends the perception information to the hazard source AI identification module; the electronic enclosure module prevents non-project personnel from crossing the construction enclosure to enter the site by sensing the boundary condition of the construction site and sending sensing information to the siteA danger source AI identification module; the site monitoring module monitors the state of the whole project in real time through monitoring cameras arranged on the periphery of a construction site, extracts key frame images and sends the key frame images to the danger source AI identification module; the mechanical equipment monitoring module acquires a panoramic monitoring picture around the equipment through a monitoring camera arranged on the equipment, a safety limit is marked on the panoramic monitoring picture, the safety state around the mechanical equipment is judged through the panoramic monitoring picture, a positioning device is arranged on the mechanical equipment, and the mechanical equipment monitoring module transmits the positioning of the mechanical equipment, the running state of the mechanical equipment and the panoramic monitoring picture around the mechanical equipment to the hazard source AI identification module; the vehicle monitoring module sends the vehicle positioning, the vehicle running state and the surrounding panoramic monitoring picture to the danger source AI identification module; the danger source AI identification module respectively identifies and analyzes the received perception information of the entrance guard management module, the perception information of the electronic enclosure module, the key frame image of the site monitoring module, the mechanical equipment positioning and mechanical equipment running state and the surrounding panoramic monitoring picture sent by the mechanical equipment monitoring module, and the vehicle positioning and vehicle running state and the surrounding panoramic monitoring picture sent by the vehicle monitoring module, compares the identification information with a safety standard, and determines the corresponding risk loss L i And a risk probability Qi. The safety early warning module obtains a risk loss L according to the danger source AI identification module i And the risk probability Q i Calculating the amount of risk D i ，D i ＝L i ×Q i I =1,2,3,4,5, and determines whether to issue safety warning information to the contract warning module according to whether the risk amount meets the requirements of the contract clauses. Furthermore, the safety early warning module respectively distributes weights W to the entrance guard management module, the electronic fence module, the field monitoring module, the mechanical equipment monitoring module and the vehicle monitoring module i Calculating the comprehensive risk quantity D T ，
Will synthesize the risk quantity D T And a preset comprehensive risk amount threshold D L Comparison, when D T ≥D L The safety early warning module sends high-level early warning information to the contract early warning module and reminds the participating units to take measuresTaking measures; d T ＜D L And then, the safety early warning module sends general-level early warning information to the contract early warning module and reminds the direct participating units to take corresponding measures.
It should be noted that the contract early warning module generates early warning reports according to a certain period for the received early warning information of the progress management subsystem, the quality management subsystem and the safety management subsystem, a supervision unit in a participating unit carries out comprehensive examination and approval when examining and approving progress money of a construction unit and issues the progress money of a project, and the early warning reports serve as important consideration factors when dealing with settlement money of the project.
An embodiment of the invention provides an intelligent construction site management method, and referring to fig. 3, fig. 3 is a schematic flow chart of a first embodiment of the intelligent construction site management method according to the invention.
In this embodiment, the intelligent worksite management method includes:
step S11: acquiring basic engineering information and actual engineering conditions, wherein the basic engineering information comprises an engineering contract text and engineering requirements;
the intelligent construction site is characterized in that an informatization means is applied, engineering projects are accurately designed and simulated through a three-dimensional design platform, construction process management is performed around, a construction project informatization ecological circle with interconnection cooperation, intelligent production and scientific management is established, data mining analysis is performed on the data and engineering information acquired by the Internet of things in a virtual reality environment, process trend prediction and expert preplan are provided, visual intelligent management of engineering construction is achieved, engineering management informatization level is improved, and green construction and ecological construction are gradually achieved.
Specifically, the basic engineering information can be manually input in advance, and then the system automatically generates an index tag for other modules to read and call. The basic engineering information refers to various basic data for standardizing the actual construction process of an engineering project and mainly comprises an engineering contract text and engineering requirements. Before formal construction, each participating organization can agree with engineering construction matters through negotiation and sign an engineering contract to determine the rights, obligations, responsibilities and the like of each party, supervise the common execution of all parties of the contract and ensure the smooth promotion of engineering. The engineering requirements are specific specifications preset by technicians for the construction process and the construction results, and the specifications are set according to national industry specifications, regulations and standards, such as "acceptance criteria for construction quality of concrete structure engineering", "technical specifications for roofing engineering" and "specifications related to wood structures", and the specific specifications include, but are not limited to, quality behavior management files, technical standard specifications, acceptance criteria, preset quality behavior thresholds, preset entity quality thresholds and preset progress early warning thresholds.
Specifically, the actual conditions of all aspects of the project can be manually recorded according to a certain frequency, and then the index tag is automatically generated by the system for other modules to read and call. Further, the actual situation of the project is obtained, and the actual situation of the project refers to real-time data related to various aspects of the project, including but not limited to quality behavior data, entity quality data, total actual progress, entrance and exit personnel information, and site boundary conditions.
Step S12: carrying out structured disassembly on the engineering contract text to obtain contract terms of each category;
specifically, after the engineering contract text is obtained, because the content of the contract clauses is emphasized, the related subjects may be different, and in order to facilitate the subsequent constraint of each party to fulfill the contract, the engineering contract text is structurally disassembled through the contract structuring module.
Illustratively, the engineering contract text is structurally disassembled according to specific contents, namely rights, obligations, targets, quality, default obligations and the like, to obtain various categories of contract terms, such as 10 th to 20 th contract terms of rights class, 21 st to 30 th contract terms of obligations class and 31 st to 40 th contract terms of quality class.
Illustratively, the project contract text is structurally disassembled according to the subjects involved, namely, the construction party, the design party, the supervision party, the construction party and the like, and various types of contract terms are obtained, such as 10 th to 20 th contract terms related to the construction party and 21 st to 30 th contract terms related to the design party.
Furthermore, after the structural disassembly is completed, the clause distribution module can distribute the contract clauses of each category to the management terminal of the corresponding participating unit so as to remind each relevant party to fulfill the contract.
Step S13: and sending early warning information to corresponding participating units according to the project actual conditions, the project requirements and the contract clauses of each category so as to prompt the participating units to fulfill the contract clauses.
It can be understood that after the actual conditions of the project, the project requirements and the contract terms of each category are analyzed, the early warning information can be sent to the corresponding participating units based on the analysis results. Specifically, the engineering practical situation is used for representing real-time data of all aspects in the construction process, and if the engineering practical situation needs to be evaluated, relevant standards need to be determined, so the engineering requirement and contract terms of all categories are used as standard files, wherein the engineering requirement is used for representing specific standards of all aspects preset by technicians according to national industry standards, regulations and standards, including but not limited to quality behavior management files, preset quality behavior thresholds, technical standard standards and preset quality data thresholds, and the contract terms are preset standards for project construction of participating parties, and part of the standards may be the same as the engineering requirements or may be strictly the engineering requirements.
It should be noted that, for a specific specification standard, if only the engineering requirement/contract clause is recorded, the engineering requirement/contract clause is directly used as a standard for comparison; if the engineering requirements and the contract terms are recorded, the stricter contract terms are compared with each other to ensure that the effect of the engineering project is better in all aspects, so that the national standard can be met, and the requirements of each participating unit can be met.
Exemplarily, if the project quality needs to be evaluated, selecting quality contract terms from all types of contract terms, and comparing the actual quality condition of the project with the contract terms, so as to directly determine whether the current quality condition of the project meets a preset standard, wherein if the current quality condition of the project meets the preset standard, the project quality is qualified, and no early warning information needs to be output; if the construction quality does not reach the preset standard, the abnormal condition of the engineering quality is shown, early warning information needs to be output through the contract early warning module in time, so that relevant building units are reminded to perform adaptive adjustment on the construction process according to the early warning information, the building units are promoted to fulfill contract terms, for example, the early warning information is construction delay, direct building units can be reminded at the moment, such as constructors, personnel are added to make progress, or other building units are reminded, such as supervisors, the supervision of the construction process is improved, and the phenomenon that workers are lazy is avoided.
In a technical solution provided in this embodiment, basic engineering information and actual engineering conditions are obtained, then, the engineering contract text in the basic engineering information is structured and disassembled to obtain contract terms of each category, the engineering requirements and the contract terms of each category are used as standard standards, the actual engineering conditions are compared and analyzed, and finally, early warning information is sent to corresponding participating units according to the analysis results to prompt the participating units to fulfill the contract terms. Compared with the prior art that the engineering project is only managed according to the construction progress and risk prevention of the construction site, the technical scheme provided by the embodiment fundamentally takes contract management as a grip, and timely sends accurate early warning information about the engineering project to corresponding participating units based on the actual engineering situation, the engineering requirements and the analysis results of various types of contract terms so as to prompt the participating units to fulfill the contract terms and timely take remedial measures, so that the standardization and orderliness of the aspects of the progress, quality, safety and the like of the engineering project are further ensured, the refinement and intelligence level of the engineering management is improved, and the comprehensive and efficient management of the construction site is realized.
Further, referring to FIG. 4, a second embodiment of the intelligent worksite management method of the present invention is provided. Based on the embodiment shown in fig. 3, the engineering actual situation includes quality behavior big data, the engineering requirement includes a quality behavior management file and a preset quality behavior threshold, and the step of sending the warning information to the corresponding participating unit according to the engineering actual situation, the engineering requirement and the contract terms of each category includes:
step S21: carrying out structured disassembly on the quality behavior management file to obtain structured quality behavior information;
it can be understood that the engineering requirement is a specific specification preset by a technician for a construction process and a construction result, specifically, for quality behavior management in the construction process, the technician may upload and import quality behavior management files such as qualification, quality system, and quality file of a participating entity by using a quality behavior import unit in advance, and then perform structured disassembly on the quality behavior management files according to processes, parts, and the like by using a quality behavior AI identification unit to obtain structured quality behavior information, for example, the quality behavior information of the first process is class a, the quality behavior information of the second process is class B, the quality behavior information of the first part is class C, and the quality behavior information of the second part is class D.
Step S22: comparing the quality behavior big data with the structured quality behavior information and contract terms of corresponding categories to obtain a quality behavior analysis result;
it can be understood that data statistical analysis is the basis of enterprise quality management work, therefore, the system can collect and count various quality behaviors in the construction process, and the specific steps can be that the data are collected in sequence according to procedures, parts and the like, and finally, quality behavior big data are generated. Further, the quality behavior big data is used for representing real-time data of various quality behaviors in the construction process, and if the quality behavior big data is to be evaluated, relevant standards are required to be determined, so structured quality behavior information and contract terms of corresponding categories, namely quality contract terms, are used as standard documents, and the quality behavior big data is compared with the standards to obtain quality behavior analysis results, for example, the quality behavior of the first process reaches 50% of the standard, and the quality behavior of the second process reaches 80% of the standard.
Step S23: and if the quality behavior analysis result reaches or exceeds the preset quality behavior threshold value, sending early warning information to a corresponding participating unit.
Specifically, after the quality behavior analysis result is obtained through calculation, a preset quality behavior threshold is obtained, and the preset quality behavior threshold is set by technicians based on factors such as an engineering contract text, engineering requirements, past experience and the like and is used for representing the passing level of the quality behavior, for example, the quality behavior of the first process should reach 60% of the standard. It should be noted that, in this embodiment, the preset quality behavior threshold is set as a reverse rule, that is, if the quality behavior analysis result reaches or exceeds the preset quality behavior threshold, it indicates that the quality behavior does not reach the standard, and a potential safety hazard may be caused subsequently, so that the early warning information needs to be sent to the corresponding participating unit in time; and if the quality behavior analysis result does not reach the preset quality behavior threshold, the quality behavior is up to the standard, the subsequent steps can be normally carried out, and early warning information does not need to be output.
Exemplarily, the preset quality behavior threshold is 60%, and according to the quality behavior analysis result, if the quality behavior of the first process is 50% of the standard, that is, the quality behavior analysis result of the first process exceeds the preset quality behavior threshold, the early warning information needs to be sent to the construction unit in time; if the quality behavior of the second procedure is 70% of the standard, namely the quality behavior analysis result of the second procedure does not reach the preset quality behavior threshold value, no early warning information needs to be output at this moment.
In a technical solution provided in this embodiment, the quality behavior management file is structured and disassembled to obtain structured quality behavior information, the quality behavior big data is compared with the structured quality behavior information and contract terms of corresponding categories to obtain a quality behavior analysis result, and if the quality behavior analysis result reaches or exceeds a preset quality behavior threshold, the quality behavior analysis result sends early warning information to a corresponding participating entity. The technical scheme provided by the embodiment provides a concrete evaluation mode of quality behaviors in engineering projects, mass behavior big data acquired in real time are analyzed with special structured quality behavior information and contract terms of quality classes, an analysis result is compared with a preset quality behavior threshold value, if the quality behavior big data reach or exceed the preset quality behavior threshold value, the quality behavior does not reach the standard, and therefore early warning information needs to be sent to a building unit in time to prompt the building unit to process the quality behavior in time, for example, theoretical training of the quality behavior is held, through quality behavior management, various past irregular behaviors can be found and indicated in time, and a foundation can be laid for the specification of subsequent engineering.
Further, referring to fig. 5, a third embodiment of the intelligent worksite management method of the present invention is provided. Based on the embodiment shown in fig. 3, the engineering actual situation includes quality data, the engineering requirement includes a technical standard specification and a preset quality data threshold, and the step of sending the warning information to the corresponding participating unit according to the engineering actual situation, the engineering requirement and the contract terms of each category includes:
step S31: carrying out structured disassembly on the quality data to obtain structured quality data information;
it can be understood that the engineering requirement is a specific specification preset by a technician for a construction process and a construction result, specifically, for entity quality management corresponding to the construction result, the technician may upload and import quality data obtained by quality acceptance of each construction process, project, sub-project and unit project by using a quality data importing unit in advance, and then structurally disassemble the quality data according to processes, parts and the like by using a quality data AI identifying unit to obtain structured quality data information, where the quality data information of the first process is class a, the quality data information of the second process is class B, the quality data information of the first part is class C, and the quality data information of the second part is class D.
Step S32: comparing the structured quality data information with the technical standard specification and contract terms of corresponding categories to obtain a quality data analysis result;
it is understood that the structured quality data information may be used to indicate actual acceptance of construction results of each process and each part, and if the quality data information is to be evaluated, relevant standards are determined, so that the technical standard specification and contract terms of corresponding categories, i.e. quality class contract terms, are used as standard documents, and the structured quality data information is compared with the above standards to obtain quality data analysis results, for example, the quality data of the first process reaches 50% of the standard, and the quality data of the second process reaches 80% of the standard.
Step S33: and if the quality data analysis result reaches or exceeds the preset quality data threshold, sending early warning information to a corresponding participating unit.
Specifically, after the quality data analysis result is obtained through calculation, a preset quality data threshold is obtained from the engineering requirement, and the preset quality data threshold is set by technical personnel based on factors such as an engineering contract text, engineering requirements, past experience and the like and is used for representing the passing level of the entity quality, for example, the quality data of the first process should reach 60% of the standard. It should be noted that, in this embodiment, the preset quality data threshold is set as a reverse rule, that is, if the quality data analysis result reaches or exceeds the preset quality data threshold, it indicates that the quality data does not reach the standard, and a potential safety hazard may be caused subsequently, so that early warning information needs to be sent to the corresponding participating unit in time; if the quality data analysis result does not reach the preset quality data threshold value, the quality data is up to the standard, the subsequent steps can be normally carried out, and early warning information does not need to be output.
Illustratively, the preset quality data threshold is 60%, and according to the quality data analysis result, if the quality data of the first procedure is 50% of the standard, that is, the quality data analysis result of the first procedure exceeds the preset quality data threshold, the early warning information needs to be sent to the construction unit in time; if the quality data of the second procedure is 70% of the standard, namely the quality data analysis result of the second procedure does not reach the preset quality data threshold, the early warning information does not need to be output at the moment.
In one technical solution provided in this embodiment, the quality data is first structured and disassembled to obtain structured quality data information, and then the structured quality data information is compared with the technical standard specification and contract terms of the corresponding category to obtain a quality data analysis result, and if the quality data analysis result reaches or exceeds a preset quality data threshold, the quality data analysis result sends early warning information to the corresponding participating unit. The embodiment provides a specific evaluation mode of entity quality in an engineering project, which is characterized in that actual structured quality data information is analyzed with contract terms of special technical standard specifications and quality classes, an analysis result is compared with a preset quality data threshold, if the quality data reaches or exceeds the preset quality data threshold, the entity quality does not reach the standard, early warning information needs to be sent to a participating unit in time to prompt the participating unit to process the quality in time, for example, rework reconstruction, quality problems of a project building body are discovered in time through entity quality management, each process and each part are implemented to be qualified, the problem is avoided to be discovered at the last stage, the situation that the whole building needs to be overturned for reconstruction is avoided, and the construction cost is further reduced.
Further, referring to FIG. 6, a fourth embodiment of the intelligent worksite management method of the present invention is provided. Based on the embodiment shown in fig. 3, the actual engineering situation includes a total actual progress, the engineering requirement includes a total planned progress, a construction process, and an engineering three-dimensional model, and the step of sending the warning information to the corresponding participating unit according to the actual engineering situation, the engineering requirement, and the contract terms of each category includes:
step S41: splitting the total planned progress into a planned progress label according to the construction process and a target construction period in contract terms of corresponding categories, and splitting the total actual progress into an actual progress label according to the construction process;
it can be understood that, in order to ensure the achievement of project construction period goal, on one hand, according to the goal construction period in the construction process and the contract clause of the corresponding category, the total planned progress is divided into planned progress labels, such as a first process-planned completion progress 30%, a second process-planned completion progress 60%, a third process-planned completion progress 100%, and the planned completion time of the third process is ensured to be earlier than the goal construction period; on the other hand, a technician can input the total actual progress of the project according to a certain frequency, and on the basis, the total actual progress is split according to the construction procedures to generate an actual progress label, such as a first procedure-the actual completion progress is 20%, and a second procedure-the actual completion progress is 50%.
Step S42: matching the planned progress label with the engineering three-dimensional model to generate a dynamic engineering three-dimensional model;
step S43: matching the actual progress label with the engineering three-dimensional model to generate a modified dynamic engineering three-dimensional model;
specifically, a technician can firstly read the format of the construction drawing by reading the drawing module, then select a corresponding software interface according to the format to read the specific content of the construction drawing, then use the three-dimensional modeling module to perform BIM three-dimensional modeling on the read specific content of the construction drawing to form an engineering three-dimensional model, and can modify the engineering three-dimensional model by later-stage design drawing change.
Further, matching the planned progress label with the engineering three-dimensional model to generate a dynamic engineering three-dimensional model, and representing the planned completion progress of each process by a three-dimensional graph; and matching the actual progress label with the engineering three-dimensional model to generate a modified dynamic engineering three-dimensional model, and representing the actual completion progress of each process by using a three-dimensional graph.
Step S44: determining a deviation probability and a deviation cost based on the dynamic engineering three-dimensional model and the corrected dynamic engineering three-dimensional model;
specifically, the dynamic engineering three-dimensional model is compared with the modified dynamic engineering three-dimensional model, namely the planned progress and the actual progress of each process are compared through a three-dimensional graph, and the deviation probability P is calculated by utilizing mathematical models such as fuzzy mathematics, a neural network model, a Bayesian belief network and the like 1 And a deviation charge C 1 Wherein the deviation probability P 1 The influence probability and deviation expense C on the advance or delay of the target construction period 1 Which means a savings or increased cost of construction. It should be noted that in the calculation process, the weight can also be increasedValues to distinguish the importance of each process.
Step S45: and sending early warning information to corresponding participating units according to the deviation probability and the deviation cost.
Specifically, after the deviation probability and the deviation expense are calculated, the deviation condition is integrally analyzed based on the two data, and if the analysis result meets the preset condition, early warning information is sent to the corresponding building unit. The preset condition may be, for example, that the deviation probability is greater than a first preset parameter (0.5), or the deviation expense is greater than a second preset parameter (5000), or the product of the deviation probability and the deviation expense is greater than a third preset parameter (2500), or both that the deviation probability is greater than a fourth preset parameter (0.3) and the deviation expense is greater than a fifth preset parameter (3000), which is not limited in this embodiment.
In a technical solution provided in this embodiment, the total planned progress and the total actual progress are respectively split into a planned progress tag and an actual progress tag, then a dynamic engineering three-dimensional model and a modified dynamic engineering three-dimensional model are respectively generated by combining the engineering three-dimensional model, a deviation probability and a deviation cost are determined based on the two models, and finally warning information is sent to a corresponding participating unit based on the determined deviation probability and the deviation cost. The technical scheme provided by the embodiment provides a specific assessment mode of the progress of the engineering project, the total plan progress and the total actual progress are split and matched to obtain different three-dimensional models, the deviation probability and the deviation cost are further determined, early warning information is sent to a building unit according to the deviation probability and the deviation cost, advance conditions are rewarded through progress management, delay conditions are promoted, the whole project can be effectively controlled to work on schedule, and the project construction period target is guaranteed to be achieved.
Further, a fifth embodiment of the intelligent worksite management method of the present invention is provided. Based on the embodiment shown in fig. 6, the participating units include direct participating units, the engineering requirements include a preset progress early warning threshold, and the step of sending early warning information to the corresponding participating units according to the deviation probability and the deviation cost includes:
step S51: determining a progress analysis result according to the deviation probability and the deviation cost, wherein the progress analysis result comprises a deviation state and a deviation amount;
in particular, according to the deviation probability P 1 And a deviation charge C 1 Determining a progress analysis result S 1 Defining the progress analysis result S 1 ＝P 1 ×C 1 Through the progress analysis result, the progress of the deviation state can be known to be advanced or delayed (can be embodied by a sign), and the numerical value of the deviation amount (can be embodied by an absolute value), namely the cost which can be influenced can be known.
Step S52: if the deviation state is after the progress delay and the deviation amount is smaller than the preset progress early warning threshold value, sending early warning information to a corresponding direct participation unit;
specifically, if the deviation state is the progress delay, and the deviation amount is smaller than the preset progress early warning threshold, it indicates that although the progress is delayed, the cost increased due to the progress falling is still within the allowable range, so that the early warning information only needs to be sent to the direct participating unit, where the direct participating unit can be set by a technician, such as a construction unit and a supervision unit.
Step S53: and if the deviation state is after the progress delay and the deviation amount is greater than or equal to the preset progress early warning threshold value, sending early warning information to the corresponding participating units.
Specifically, if the deviation state is the progress delay, and the deviation amount is greater than or equal to the preset progress early warning threshold, it indicates that the progress delay is performed at this time, and the cost increased due to the progress falling exceeds the allowable acceptance range, so that the early warning information needs to be sent to all the participating units, where all the participating units may be set by a technician, for example, the participating units include direct participating units such as a construction unit and a supervision unit, and also include other participating units such as a construction unit, and this embodiment is not specifically limited.
It should be noted that different settings can be performed on the early warning information under different conditions, and if the deviation state is after the progress delay and the deviation amount is smaller than the preset progress early warning threshold, the progress delay early warning information is sent to the corresponding direct participating unit; and if the deviation state is after the progress delay and the deviation amount is greater than or equal to the preset progress early warning threshold value, sending progress serious delay early warning information to all corresponding building units.
Further, if the deviation state is that the progress is advanced and the deviation amount is smaller than a preset progress early warning threshold value, sending normal reward early warning information; and if the deviation state is the progress advance and the deviation amount is greater than or equal to the preset progress early warning threshold value, sending excess reward early warning information.
In one technical scheme provided by this embodiment, a progress analysis result is determined according to a deviation probability and a deviation cost, wherein the progress analysis result includes a deviation state and a deviation amount, and if the deviation state is a progress delay and the deviation amount is smaller than a preset progress early warning threshold, early warning information is sent to a corresponding direct participating unit; and if the deviation state is after the progress delay and the deviation amount is greater than or equal to the preset progress early warning threshold value, sending early warning information to all corresponding participating units. According to the technical scheme, the specific object for sending the early warning information is determined by taking the preset progress early warning threshold value as a reference, namely, the specific object is only needed to be sent to the direct participating units when the progress is delayed less, and is needed to be sent to all participating units when the progress is delayed more.
Further, referring to fig. 7, a sixth embodiment of the intelligent worksite management method of the present invention is provided. Based on the embodiment shown in fig. 3, the engineering actual situation includes access control management information, electronic fence information, site monitoring information, mechanical equipment monitoring information, and vehicle monitoring information, the engineering requirement includes a safety standard and a weight coefficient, and the step of sending the warning information to the corresponding participating unit according to the engineering actual situation, the engineering requirement, and the contract terms of each category includes:
step S61: respectively comparing the access control management information, the electronic enclosure information, the site monitoring information, the mechanical equipment monitoring information and the vehicle monitoring information with the safety standard to determine corresponding risk loss amount and risk probability;
specifically, the entrance guard management module compares the information of the personnel at the entrance and exit of the project with the information of the project personnel database, can check the attendance of project workers, effectively intercepts the intrusion of non-project personnel into a construction site, and generates entrance guard management information; the electronic enclosure module is used for preventing non-project personnel from crossing the construction enclosure to enter a site by sensing the boundary condition of a construction site and generating electronic enclosure information; the field monitoring module monitors the state of the whole project in real time through monitoring cameras arranged on the periphery of a construction site, and extracts key frame images to generate field monitoring information; the mechanical equipment monitoring module acquires a panoramic monitoring picture around the equipment through a monitoring camera arranged on the equipment, a safety limit is marked on the panoramic monitoring picture, the safety state around the mechanical equipment is judged through the panoramic monitoring picture, and a positioning device is arranged on the mechanical equipment, namely the mechanical equipment monitoring module generates mechanical equipment monitoring information through the positioning of the mechanical equipment, the running state of the mechanical equipment and the panoramic monitoring picture around the mechanical equipment; the vehicle monitoring module generates vehicle monitoring information through vehicle positioning, vehicle running state and surrounding panoramic monitoring pictures.
Further, the entrance guard management information, the electronic enclosure information, the site monitoring information, the mechanical equipment monitoring information and the vehicle monitoring information are respectively compared with the safety standard, and the corresponding risk loss L is determined according to the comparison result i And the risk probability Q i ，i＝1，2，3，4，5。
Step S62: determining a corresponding risk amount according to the corresponding risk loss amount and risk probability;
specifically, the risk loss L corresponding to the access control management information, the electronic enclosure information, the site monitoring information, the mechanical equipment monitoring information and the vehicle monitoring information i And probability of risk Q i Determining a corresponding risk quantity D i ＝L i ×Q i ，i＝1，2，3，4，5。
Step S63: determining a comprehensive risk amount according to the risk amount and the weight coefficient;
specifically, the risk quantity D of the access control management information, the electronic enclosure information, the site monitoring information, the mechanical equipment monitoring information and the vehicle monitoring information is obtained through calculation i Then, the corresponding weight coefficient W is determined i Calculating the comprehensive risk quantity D T ，
Step S64: and sending early warning information to corresponding participating units according to the comprehensive risk amount and contract terms of corresponding categories.
Specifically, the comprehensive risk amount is analyzed according to contract terms of corresponding categories, that is, contract terms of safety categories, and exemplarily, if the comprehensive risk amount has a numerical value with practical significance, that is, not equal to zero, it is indicated that the engineering project has a risk, and at this time, early warning information needs to be sent to a corresponding building unit. Further, a preset comprehensive risk amount threshold may be increased, for example, the early warning information is sent only when the comprehensive risk amount exceeds the preset comprehensive risk amount threshold, for example, the low-level early warning information is sent when the comprehensive risk amount is equal to or greater than the preset comprehensive risk amount threshold, and the high-level early warning information is sent when the comprehensive risk amount is less than the preset comprehensive risk amount threshold, which is not specifically limited in this embodiment.
In a technical solution provided in this embodiment, information in five aspects, namely, access control management information, electronic enclosure information, site monitoring information, mechanical equipment monitoring information, and vehicle monitoring information, is respectively compared with a safety standard to determine corresponding risk loss amount and risk probability, further determine five risk amounts, further determine a comprehensive risk amount of the whole project, and finally send early warning information to corresponding participating units based on contract terms of the category corresponding to the comprehensive risk amount. The technical scheme provided by the embodiment provides a specific evaluation mode of the engineering project safety, and the safety of the engineering project is evaluated from five aspects respectively, and then the comprehensive risk amount is calculated based on the evaluation results of the aspects, so that the safety condition of the project is comprehensively controlled.
Further, a seventh embodiment of the intelligent worksite management method of the present invention is provided. Based on the embodiment shown in fig. 7, the step of sending the early warning information to the corresponding participating units according to the comprehensive risk amount and the contract terms of the corresponding categories includes:
step S71: if the comprehensive risk amount is smaller than a preset comprehensive risk amount threshold value in the contract clauses of the corresponding categories, sending low-level early warning information to the corresponding participating units;
specifically, if the comprehensive risk amount is smaller than the preset comprehensive risk amount threshold in the contract terms of the corresponding category, it indicates that although there is a risk at this time, the risk degree is low, so that only low-level early warning information needs to be sent to the corresponding participating unit to prompt timely taking of a countermeasure.
Step S72: and if the comprehensive risk amount is greater than or equal to a preset comprehensive risk amount threshold value in the contract clauses of the corresponding category, sending high-level early warning information to the corresponding participating units.
Specifically, if the comprehensive risk amount is greater than or equal to the preset comprehensive risk amount threshold in the contract clause of the corresponding category, it indicates that a risk exists at this time, and the risk degree is high, so that high-level early warning information needs to be sent to the corresponding participating unit to prompt timely taking of a countermeasure.
It should be noted that different settings can be performed for the participating units sending the early warning information under different conditions, and if the comprehensive risk amount is smaller than the preset comprehensive risk amount threshold, the low-level early warning information is sent to the corresponding direct participating units; and if the comprehensive risk amount is greater than or equal to the preset comprehensive risk amount threshold value, sending high-level early warning information to all the participating units.
In one technical solution provided in this embodiment, if the comprehensive risk amount is smaller than a preset comprehensive risk amount threshold, sending low-level warning information to a corresponding participating unit, otherwise, sending high-level warning information to the corresponding participating unit. According to the technical scheme provided by the embodiment, the grade of the early warning information is determined by comparing the comprehensive risk amount obtained through calculation with the preset comprehensive risk amount threshold value, so that the early warning information of different grades can be sent by the participating units under different risk conditions, and accordingly, the participating units can also take different remedial measures, and the excessive loss caused by the unadvantaged measures is avoided.
Referring to fig. 8, a functional module diagram of an embodiment of the intelligent construction site management device is shown.
The system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring basic engineering information and actual engineering conditions, and the basic engineering information comprises an engineering contract text and engineering requirements;
the structural module is used for performing structural disassembly on the engineering contract text to obtain contract terms of various categories;
and the early warning module is used for sending early warning information to corresponding participating units according to the project actual conditions, the project requirements and the contract clauses of all categories so as to prompt the participating units to fulfill the contract clauses.
Since the embodiments of the apparatus portion and the method portion correspond to each other, please refer to the description of the embodiments of the method portion for the embodiments of the apparatus portion, which is not repeated herein.
The embodiment of the invention provides an intelligent construction site management system, which comprises: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program configured to implement the steps in any embodiment of the intelligent worksite management method.
Since the embodiment of the intelligent worksite management system portion and the embodiment of the method portion correspond to each other, please refer to the description of the embodiment of the method portion, which is not repeated herein.
Embodiments of the present invention provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in any embodiment of the above intelligent worksite management method.
Since the embodiment of the computer-readable storage medium portion and the embodiment of the method portion correspond to each other, please refer to the description of the embodiment of the method portion for the embodiment of the computer-readable storage medium portion, which is not repeated herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or system comprising the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An intelligent construction site management method is characterized by comprising the following steps:
acquiring basic engineering information and actual engineering conditions, wherein the basic engineering information comprises an engineering contract text and engineering requirements;
carrying out structured disassembly on the engineering contract text to obtain contract terms of each category;
and sending early warning information to the corresponding participating units according to the actual engineering situation, the engineering requirements and the contract clauses of each category so as to prompt the participating units to fulfill the contract clauses.
2. The intelligent construction site management method according to claim 1, wherein the engineering actual situation includes quality behavior big data, the engineering requirement includes quality behavior management files and preset quality behavior threshold values, and the step of sending early warning information to the corresponding participating units according to the engineering actual situation, the engineering requirement and the contract terms of each category includes:
carrying out structured disassembly on the quality behavior management file to obtain structured quality behavior information;
comparing the quality behavior big data with the structured quality behavior information and contract terms of corresponding categories to obtain a quality behavior analysis result;
and if the quality behavior analysis result reaches or exceeds the preset quality behavior threshold value, sending early warning information to a corresponding participating unit.
3. The intelligent construction site management method according to claim 1, wherein the actual engineering situation includes quality data, the engineering requirement includes technical standard specifications and preset quality data threshold values, and the step of sending early warning information to the corresponding participating units according to the actual engineering situation, the engineering requirement and the contract terms of each category includes:
carrying out structured disassembly on the quality data to obtain structured quality data information;
comparing the structured quality data information with the technical standard specification and contract terms of corresponding categories to obtain a quality data analysis result;
and if the quality data analysis result reaches or exceeds the preset quality data threshold value, sending early warning information to a corresponding participating unit.
4. The intelligent construction site management method according to claim 1, wherein the actual engineering situation comprises a total actual progress, the engineering requirement comprises a total planned progress, a construction process and an engineering three-dimensional model, and the step of sending early warning information to the corresponding participating units according to the actual engineering situation, the engineering requirement and the contract terms of each category comprises the following steps:
splitting the total planned progress into a planned progress label according to the construction process and a target construction period in contract terms of corresponding categories, and splitting the total actual progress into an actual progress label according to the construction process;
matching the planned progress label with the engineering three-dimensional model to generate a dynamic engineering three-dimensional model;
matching the actual progress label with the engineering three-dimensional model to generate a modified dynamic engineering three-dimensional model;
determining a deviation probability and a deviation cost based on the dynamic engineering three-dimensional model and the corrected dynamic engineering three-dimensional model;
and sending early warning information to corresponding participating units according to the deviation probability and the deviation cost.
5. The intelligent worksite management method according to claim 4, wherein the participating units comprise direct participating units, the engineering requirements comprise a preset progress early warning threshold, and the step of sending early warning information to the corresponding participating units according to the deviation probability and the deviation cost comprises:
determining a progress analysis result according to the deviation probability and the deviation cost, wherein the progress analysis result comprises a deviation state and a deviation amount;
if the deviation state is the progress delay, and the deviation amount is smaller than the preset progress early warning threshold value, sending early warning information to a corresponding direct participating unit;
and if the deviation state is after the progress delay and the deviation amount is greater than or equal to the preset progress early warning threshold value, sending early warning information to the corresponding participating units.
6. The intelligent construction site management method according to claim 1, wherein the actual engineering situation includes entrance guard management information, electronic enclosure information, site monitoring information, mechanical equipment monitoring information, and vehicle monitoring information, the engineering requirement includes safety standards and weight coefficients, and the step of sending early warning information to corresponding participating units according to the actual engineering situation, the engineering requirement, and the contract terms of each category includes:
respectively comparing the access control management information, the electronic enclosure information, the site monitoring information, the mechanical equipment monitoring information and the vehicle monitoring information with the safety standard to determine corresponding risk loss amount and risk probability;
determining corresponding risk quantity according to the corresponding risk loss quantity and risk probability;
determining a comprehensive risk amount according to the risk amount and the weight coefficient;
and sending early warning information to corresponding participating units according to the comprehensive risk amount and contract terms of corresponding categories.
7. The intelligent worksite management method according to claim 6, wherein the step of transmitting the warning information to the corresponding participating entity according to the integrated risk amount and the contract terms of the corresponding category includes:
if the comprehensive risk amount is smaller than a preset comprehensive risk amount threshold value in the contract clauses of the corresponding categories, sending low-level early warning information to the corresponding participating units;
and if the comprehensive risk is greater than or equal to a preset comprehensive risk threshold in the contract clauses of the corresponding categories, sending high-level early warning information to the corresponding participating units.
8. An intelligent worksite management apparatus, characterized in that the apparatus comprises:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring basic engineering information and actual engineering conditions, and the basic engineering information comprises an engineering contract text and engineering requirements;
the structural module is used for carrying out structural disassembly on the engineering contract text to obtain contract terms of various categories;
and the early warning module is used for sending early warning information to corresponding participating units according to the project actual conditions, the project requirements and the contract clauses of all categories so as to prompt the participating units to fulfill the contract clauses.
9. An intelligent worksite management system, characterized in that the system comprises: memory, processor and computer program stored on said memory and executable on said processor, said computer program being configured to implement the steps of the intelligent worksite management method according to any one of claims 1 to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon which, when being executed by a processor, carries out the steps of the intelligent worksite management method according to one of claims 1 to 7.
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