CN117893170A

CN117893170A - Construction progress management method, system, device and storage medium

Info

Publication number: CN117893170A
Application number: CN202410080350.7A
Authority: CN
Inventors: 刘勇刚; 赵燚; 蒋昔勇
Original assignee: Yizhi Technology Chengdu Co ltd
Current assignee: Yizhi Technology Chengdu Co ltd
Priority date: 2024-01-18
Filing date: 2024-01-18
Publication date: 2024-04-16
Anticipated expiration: 2044-01-18
Also published as: CN117893170B

Abstract

The invention provides a construction progress management method, a system, a device and a storage medium, wherein the method comprises the steps of acquiring a task item set, space information and component information of a construction project; determining a plurality of minimum production units based on the task item set, the spatial information and the component information; dispatching task sheets to at least one construction party, each task sheet comprising at least a portion of corresponding final task items in a plurality of minimum production units; and acquiring acceptance information of the plurality of minimum production units, and determining the construction progress of the construction project based on the acceptance information. The method can be realized by a construction progress management device. The method may also be run after being read by computer instructions stored on a computer readable storage medium. According to the invention, the construction project is deconstructed into the minimum production unit which can be identified by the computer in a space and task item coding mode, so that the construction workload of the whole entity project can be quantized, the realization progress and cost can be quantized and calculated.

Description

Construction progress management method, system, device and storage medium

Technical Field

The present disclosure relates to the field of construction management, and in particular, to a construction progress management method, system, device, and storage medium.

Background

Construction progress is the main dimension of construction industry field management, and construction quality, safety, technology, cost, materials, machinery and contracts are all related to construction progress, but the existing progress management mode is difficult to meet management requirements. The current mainstream progress management mode mainly measures the construction progress by manually observing whether key nodes are finished or not, and only the completion condition can be expressed by a Boolean value or a percentage, so that the construction progress is fuzzy and difficult to quantify, cannot be used for calculation of a computer, and cannot guarantee the authenticity and accuracy of the construction progress. Before the progress risk explodes, no precursor is usually available, and only the management experience of the manager can be used for prejudgment, so that an effective progress and cost early warning method is lacked.

Meanwhile, after the construction progress is determined, the construction progress is usually displayed in a data mode and an image mode. However, the data display and the visual display are difficult to be compatible. The image progress is mainly used for checking whether the progress situation of each task procedure and the penetration situation of each task procedure are reasonable, judging the cost and the risk of the progress, judging whether the cooperation of each functional department has the risk or not, and the like. The current main stream expression mode is biased to visual display, for example, the display is performed through a BIM model, an effect diagram and a construction simulation dynamic diagram, but the information content is low and cannot be used for actual management; or to a data presentation, making it difficult for a fanciful manager to imagine.

Therefore, it is desirable to provide a construction progress management method, system, device and storage medium, which can effectively realize the quantification and calculation of construction progress and realize the effective compromise of data display and visual display.

Disclosure of Invention

In order to solve the problems that the construction progress is fuzzy and difficult to quantify, the data display and the visual display are difficult to consider, the specification provides a construction progress management method, a construction progress management system, a construction progress management device and a construction progress management storage medium.

One of the present disclosure provides a construction progress management method, the method including: acquiring a task item set, space information and component information of a construction project; determining a plurality of minimum production units based on the task item set, the space information and the component information, wherein each minimum production unit corresponds to a final task item corresponding to a component unit in the space unit; dispatching a task list to at least one construction party, wherein each task list comprises at least part of the final task items corresponding to the minimum production units; and acquiring acceptance information of the plurality of minimum production units, and determining the construction progress of the construction project based on the acceptance information.

One aspect of the present invention provides a construction progress management system, the system comprising: the acquisition module is used for acquiring a task item set, space information and component information of a construction project; a dividing module, configured to determine a plurality of minimum production units based on the task item set, the spatial information, and the component information, where each minimum production unit corresponds to a final task item corresponding to a component unit in the spatial units; the dispatch module is used for dispatching a task list to at least one construction party, and each task list comprises at least part of the final-stage task items corresponding to the minimum production units; and the acceptance module is used for acquiring acceptance information of the plurality of minimum production units and determining the construction progress of the construction project based on the acceptance information.

One aspect of the present invention provides a construction progress management apparatus, the apparatus comprising at least one processor and at least one memory; the at least one memory is configured to store computer instructions; the at least one processor is configured to execute at least some of the computer instructions to implement a construction progress management method.

One aspect of the present invention provides a computer-readable storage medium storing computer instructions that, when read by a computer, perform a construction progress management method.

The advantages of the above summary include, but are not limited to: (1) Constructing the construction project into a minimum production unit identifiable by a computer in a space and task item coding mode, quantifying the construction workload of the whole entity project, realizing the progress, quantifying the cost and calculating; (2) According to the equivalent work efficiency and the equivalent cost of the minimum production unit checked in the task list, the pre-estimation procedure and the pre-estimation cost of the minimum production unit which are not checked are determined by combining the space information, so that the local change of the space can be compatible, the recent service change can be considered from the statistical angle, for example, factors affecting the efficiency such as suddenly increased hands, material supply tension and the like are increased, the prediction accuracy is improved, and a more accurate prediction value is obtained compared with the experience judgment; (3) Whether the early warning is sent out is judged according to the difference between the actual cost consumption of the task list and the theoretical cost consumption, and whether the early warning is sent out can be judged according to the actual condition of the task list or the actual condition of the task procedure, so that when the actual condition is predicted to be inconsistent with the expected condition, the risk early warning is timely sent out, and the follow-up dynamic deduction of the construction process and the adjustment of the construction strategy are facilitated.

Drawings

FIG. 1 is an exemplary block diagram of a construction progress management system according to some embodiments of the present description;

FIG. 2 is a schematic diagram of an exemplary mobile device on which certain systems may be implemented, as shown in accordance with some embodiments of the present description;

FIG. 3 is a schematic diagram of exemplary hardware and software components of an exemplary computing device shown in accordance with some embodiments of the present description;

FIG. 4 is an exemplary flow chart of a construction progress management method according to some embodiments of the present description;

FIG. 5 is an exemplary diagram of a coding information table shown in accordance with some embodiments of the present description;

FIG. 6 is an exemplary schematic diagram of a space-task item matrix shown in accordance with some embodiments of the present description;

FIG. 7 is an exemplary schematic diagram of a space-task item matrix and a task sheet shown in accordance with some embodiments of the present description;

FIG. 8 is an exemplary schematic diagram of a zone-process matrix shown in accordance with some embodiments of the present description;

FIG. 9 is an exemplary schematic diagram of an avatar schedule presentation shown in accordance with some embodiments of the present description;

FIG. 10 is an exemplary flow chart of a progress of a predictive task process shown in accordance with some embodiments of the present disclosure;

FIG. 11 is one of exemplary diagrams of determining whether to issue an early warning according to some embodiments of the present disclosure;

FIG. 12 is a second exemplary diagram illustrating a determination of whether to issue an early warning according to some embodiments of the present disclosure;

FIG. 13 is a third exemplary diagram illustrating a determination of whether to issue an early warning according to some embodiments of the present disclosure;

FIG. 14 is an exemplary flow chart of determining a propulsion strategy for an incomplete task process, according to some embodiments of the present description;

FIG. 15A is one of exemplary schematic diagrams of a project period-cost scatter plot according to some embodiments of the present disclosure;

FIG. 15B is a second exemplary schematic diagram of a project-cost scatter plot shown in accordance with some embodiments of the present disclosure;

FIG. 15C is a third exemplary schematic diagram of a project period-cost scatter plot according to some embodiments of the present disclosure;

FIG. 15D is a fourth exemplary schematic diagram of a time period-cost scatter plot, according to some embodiments of the present description.

Detailed Description

In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present specification, and it is possible for those of ordinary skill in the art to apply the present specification to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.

As used herein, a "system," "apparatus," "unit," and/or "module" is a means for distinguishing between different components, elements, parts, portions, or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

The terms "a," "an," "the," and/or "the" are not specific to the singular, but may include the plural, unless the context clearly indicates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.

A flowchart is used in this specification to describe the operations performed by the system according to embodiments of the present specification. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.

Fig. 1 is an exemplary block diagram of a construction progress management system according to some embodiments of the present description. In some embodiments, the construction progress management system 100 may include an acquisition module 110, a partitioning module 120, a dispatch module 130, and an acceptance module 140. In some embodiments, acquisition module 110, partitioning module 120, dispatch module 130, and acceptance module 140 may be implemented by a processor.

In some embodiments, the acquisition module 110 may acquire a task item set, spatial information, and component information for a construction project.

In some embodiments, the partitioning module 120 may determine a plurality of minimum production units based on the task item set, the spatial information, and the component information.

In some embodiments, dispatch module 130 may dispatch a job ticket to at least one construction party, each job ticket including at least a portion of a corresponding last-level job item in a plurality of minimum production units.

In some embodiments, acceptance module 140 may obtain acceptance information for a plurality of minimum production units and determine a construction progress for the construction project based on the acceptance information.

In some embodiments, acceptance module 140 may determine a task completion of the task sheet based on the acceptance information; and determining the construction progress based on the task completion degree.

In some embodiments, the acceptance module 140 may aggregate the plurality of minimum production units into at least one task process by a preset aggregation condition based on the spatial information and the part information. In some embodiments, acceptance module 140 may determine a process completion of the task process based on the acceptance information, the spatial information, the process information of the task process; and determining the construction progress based on the process completion.

For more details on acquisition module 110, partitioning module 120, serving module 130, and acceptance module 140, see FIG. 4 and its associated description.

In some embodiments, the construction progress management system 100 may include a prediction module (not shown in fig. 1).

In some embodiments, the prediction module may determine an equivalent work efficiency and/or an equivalent cost of the first minimum production unit based on the labor information and/or the acceptance information of the task sheet in response to the minimum production unit being included within the task procedure, the first minimum production unit being the minimum production unit being accepted; based on the equivalent work efficiency and/or the equivalent cost and the space information, determining the estimated work efficiency and/or the estimated cost of a second minimum production unit, wherein the second minimum production unit is an unverified minimum production unit; and predicting the advancing progress of the construction project based on the estimated work efficiency and/or the estimated cost. For more description of the prediction module, see fig. 10 and its associated description.

In some embodiments, the construction progress management system 100 may include an early warning module (not shown in fig. 1).

In some embodiments, the early warning module may determine actual cost consumption based on the labor information of the task sheet; determining theoretical cost consumption based on the task completion degree and the planning cost of the task list; and responding to the difference between the actual cost consumption and the theoretical cost consumption to meet the preset early warning condition, and sending out early warning.

In some embodiments, the early warning module may determine an estimated end time of the task process based on an estimated work efficiency of a second minimum production unit included in the task process; and sending out early warning in response to the estimated ending time being greater than the planned ending time.

In some embodiments, the early warning module may determine remaining planning effort for the task process based on planning effort for the task process and acceptance information for the task process; determining a dominable work efficiency of a second minimum production unit included in the task process based on the remaining planning work efficiency; and sending out early warning in response to the estimated work efficiency of the second minimum production unit contained in the task procedure being greater than the available work efficiency.

In some embodiments, the pre-warning module may determine a remaining required cost of the task process based on the estimated cost of the second smallest production unit contained within the task process; and sending out an early warning in response to the remaining required cost being greater than the remaining planning cost.

In some embodiments, the early warning module may determine a remaining planning cost for a task process based on a planning cost for the task process and labor information for the task process; determining a dominant cost of a second minimum production unit contained within the task process based on the remaining planning costs; and sending out an early warning in response to the estimated cost of the second smallest production unit contained in the task procedure being greater than the available cost.

In some embodiments, the early warning module may determine an associated task process of the task process in response to the minimum accepted production unit not being included within the task process; determining estimated work efficiency and/or estimated cost of a second minimum production unit contained in the task process based on historical labor information and/or historical acceptance information of the associated task process; determining estimated end time and/or residual required cost of the task process based on estimated work efficiency and/or estimated cost of a second minimum production unit contained in the task process; and sending out early warning in response to the estimated ending time being greater than the planned ending time and/or the remaining required cost being greater than the remaining planned cost.

For more details on the early warning module, see fig. 11, 12, 13 and their associated description.

In some embodiments, the construction progress management system 100 may include a planning module (not shown in fig. 1).

In some embodiments, the planning module may determine an estimated end time for an incomplete task process; acquiring a first boundary condition between task procedures and a second boundary condition of a construction item; and determining a propulsion strategy of the unfinished task procedure based on the estimated end time, the first boundary condition and the second boundary condition. See fig. 14 and its associated description for more details regarding the planning module.

It should be noted that the above description of the candidate display, determination system, and modules thereof is for descriptive convenience only and is not intended to limit the present description to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the principles of the system, various modules may be combined arbitrarily or a subsystem may be constructed in connection with other modules without departing from such principles. In some embodiments, the acquisition module 110, the division module 120, the dispatch module 130, and the acceptance module 140 disclosed in fig. 1 may be different modules in one system, or may be one module to implement the functions of two or more modules. For example, each module may share one memory module, or each module may have a respective memory module. Such variations are within the scope of the present description.

Fig. 2 is a schematic diagram of an exemplary mobile device on which certain systems may be implemented, as shown in accordance with some embodiments of the present description. In some embodiments, the client terminal device, which may be the mobile device 200, is configured to display and transmit information related to the construction progress. The mobile device may include, but is not limited to, a smart phone, tablet, music player, portable gaming device, GPS receiver, wearable computing device (e.g., glasses, watch, etc.), and the like. Mobile device 200 may include one or more Central Processing Units (CPUs) 240, one or more Graphics Processing Units (GPUs) 230, a display 220, a memory 260, a communication unit 210, a storage unit 290, and one or more input/output (I/O) 250. In addition, mobile device 200 may also include, but is not limited to, a system bus or any other suitable component of a controller (not shown in FIG. 2). As shown in fig. 2, a mobile operating system 270 (e.g., IOS, android, windows Phone, etc.) and one or more application programs 280 may be loaded from the storage unit 290 into the memory 260 for execution by the CPU 240. Application 280 may include a browser or other mobile application for receiving and processing information related to a query (e.g., construction progress) entered by a user in mobile device 200. A user may obtain information related to one or more search results via the I/O250 of the system and provide the information to a server and/or other modules or units of the construction progress management system 100.

To implement the various modules, units, and functions thereof described above, a computer hardware platform may be used as a hardware platform for one or more elements. Since these hardware elements, operating systems, and programming languages are general, it can be assumed that those skilled in the art are familiar with these techniques and that they can provide the information required for online-to-offline services according to the techniques described in this disclosure. A computer with a user interface may be used as a Personal Computer (PC) or other type of workstation or terminal device. If properly programmed, a computer with a user interface can be used as a server. It is believed that one skilled in the art will be familiar with the construction, programming, or general operation of computer devices of this type. Accordingly, no additional explanation is made with respect to the description of the drawings.

FIG. 3 is a schematic diagram of exemplary hardware and software components of an exemplary computing device shown in accordance with some embodiments of the present description. The computing device 300 may be configured to perform one or more functions of the various modules in the construction progress management system 100 disclosed in embodiments of the present specification.

The computing device 300 may be a general purpose computer or a special purpose computer, both of which may be used to implement the construction progress management system 100 of the present application. The computing device 300 may be used to implement any component of the construction progress management system 100 according to the present application. For example, a processor may be implemented on computing device 300 by way of its hardware, software programs, firmware, or a combination thereof. For convenience, only one computer is shown, but the computer functions described herein in connection with the search service may be implemented in a distributed fashion across multiple similar platforms to spread out the processing load.

For example, computing device 300 may include a communication port 350 that connects to and/or from a network to enable data communication. Computing device 300 may also include one or more processors 320 in the form of a processor for executing program instructions. An exemplary computer platform can include an internal communication bus 310, different types of program memory and data storage (e.g., magnetic disk 370, read Only Memory (ROM) 330, or Random Access Memory (RAM) 340), and various data files for processing and/or transmission by a computer. The exemplary computer platform also includes program instructions stored in ROM 330, RAM 340, and/or other forms of non-transitory storage media for execution by processor 320. The methods and/or processes of the present application may be implemented as program instructions. Computing device 300 may also include input/output interface 360, which may support input/output between the computer and other components. Computing device 300 may also receive programming and data over a network communication.

Computing device 300 may also include a hard disk controller in communication with a hard disk, a keypad/keyboard controller in communication with a keypad/keyboard, a serial interface controller in communication with a serial interface device, a parallel interface controller in communication with a parallel interface device, a display controller in communication with a display, and the like, or any combination thereof.

For illustration only, only one CPU and/or processor is illustratively depicted in computing device 300. It should be noted, however, that computing device 300 of the present application may include multiple CPUs and/or processors, and thus, the operations and/or methods described in the present application as being implemented by one CPU and/or processor may also be implemented by multiple CPUs and/or processors, either jointly or independently. For example, if in the present application, the CPUs and/or processors of computing device 300 perform operations A and B, it should be understood that operations A and B may also be performed jointly or independently by two different CPUs and/or processors in computing device 300 (e.g., a first processor performing operation A, a second processor performing operation B, or both first and second processors performing operations A and B).

Fig. 4 is an exemplary flow chart of a construction progress management method according to some embodiments of the present description. In some embodiments, the process 400 may be performed by the construction progress management system 100 or a processor. As shown in fig. 4, the process 400 includes the following steps.

Step 410, acquiring a task item set, space information and component information of a construction project. In some embodiments, the acquisition module 110 performs step 410.

In some embodiments, the construction project may include multiple types. Such as construction projects of the type of construction, decoration, installation, municipal, landscaping, etc.

A task item set refers to a data set related to task items contained in a construction item. The set of task items may include a plurality of task items. Taking construction projects of the construction engineering class as an example, the task set may include a plurality of tasks of building a foundation, building a main structure (e.g., wall, column, ceiling, etc.), building an elevator, building a drainage structure, building an electrical structure, finishing, etc. In some embodiments, the task items within the task item set are partitionable, and the processor may partition the task items into a plurality of sub-task items when there is a corresponding processing need. For example, when a task item is to build a wall, the multiple subtask items it divides may be: cleaning and leveling a wall building position, watering and wetting bricks, paying off the bricks at the wall building position by using ink lines, preparing cement mortar, coating the cement mortar on the ground, placing a first layer of bricks, coating the cement mortar on the first layer of bricks, placing a second layer of bricks, scraping the cement mortar, correcting the bricks, installing corner lines and the like. In particular, the level of a task item within a task item set may be a job level, i.e., a task item within a task item set may correspond to at least one job required to complete the task item. For example, one of the task items within the task item set may be a rebar job, the job for which is a rebar job. As another example, one of the tasks within the task set may be to construct a wall, the type of work required of which includes a plumber, a tile worker, and so forth.

The space information refers to information related to a construction space of a construction project. Taking construction projects of building engineering as an example, the spatial information may include a construction area, the number of buildings, the number of floors, the floor area, the number of rooms on a floor, the room area of each room on a floor, and the like.

In some embodiments, the obtaining module 110 may divide the construction space step by step according to the project portion, unit project, floor or partition to which the construction project belongs, so as to obtain a plurality of space units. A space unit refers to a space range in a space partition for building/producing a component unit. Each space unit may be used to build/produce one or more component units. Each of the divided space units may correspond to a space range of a certain floor or a certain partition of a certain unit project of a certain project section. For example only, the spatial cell a may be a spatial extent of floor D in cell project C of project B. The division of the construction space is merely an exemplary illustration, and does not limit the embodiments.

The component information refers to information related to each component unit included in the construction project. The component units are objects or structures to be produced/constructed in construction projects, etc. Such as walls, railings, stairs, etc.

Taking construction projects of the construction engineering class as an example, the component information thereof may include wall information (for example, a position, a thickness, an area, a material, a structure, etc. of a wall), column information (for example, a position, a number, a structure, a size, a material, etc. of a column), door and window information (for example, a position, a number, a structure, a size, etc. of a door and window), fence information (for example, a type, a position, a number, a structure, a size, etc. of a fence), and the like.

In some embodiments, the acquisition module 110 may acquire the task item set, the spatial information, and the component information of the construction project based on the user input. For example, the user may upload a contract list, a construction plan table, etc. of the construction project through the terminal device, and correspondingly, the acquisition module 110 may extract a task item set, space information, and component information of the construction project based on contents of the contract list, the construction plan table, etc.

In some embodiments, the acquisition module 110 may read the task item set, the spatial information, and the component information of the construction item from the storage device. The storage device may be a storage device of the construction progress management system 100, or may be an external storage device that does not belong to the construction progress management system 100, for example, a hard disk, an optical disk, or the like. In some embodiments, the acquisition module 110 may read the task item set, the spatial information, and the component information of the construction item through interfaces including, but not limited to, a program interface, a data interface, a transmission interface, and the like. In some embodiments, the job schedule management system 100 may automatically extract the task item set, spatial information, and component information of the construction project from the interface when in operation. In some embodiments, the construction progress management system 100 may be invoked by an external device or system, which upon invocation is passed to the construction progress management system 100. In some embodiments, the task item set, the spatial information, and the component information of the construction project may also be obtained in any manner known to those skilled in the art, which is not limited in this specification.

Step 420, determining a plurality of minimum production units based on the task item set, the spatial information, and the component information. In some embodiments, the partitioning module 120 performs step 420.

The minimum production unit is a minimum unit for production management of workload, cost, working time, work efficiency, and the like of a construction project.

In some embodiments, each minimum production unit corresponds to a final task item corresponding to a component unit in a spatial unit.

The last-level task item refers to a last-level sub-task item in the task items, which is not divisible. Taking construction projects of building engineering as an example, when a task is used for building a wall, the subtask items such as 'cleaning and leveling a wall building position', 'watering and wetting bricks', 'paying off with ink lines at the wall building position', and the like can not be divided any more, and the subtask items can be regarded as final subtask items. It should be noted that "partitionable" and "non-partitionable" referred to in the embodiments of the present specification refer to whether or not they are sub-partitionable in terms of construction skills required to complete the sub-task item. Specifically, one work category includes at least one construction skill under the work category, and a worker can be assigned to the work category to which the construction skill corresponds only when any one construction skill is provided. Taking the work type as a reinforcing steel bar work example, the construction skills under the work type can comprise reinforcing steel bar rust removal, reinforcing steel bar straightening, reinforcing steel bar connection and the like, and the reinforcing steel bar rust removal, reinforcing steel bar straightening and reinforcing steel bar connection can not be divided into lower-level construction skills, so that the reinforcing steel bar rust removal, reinforcing steel bar straightening and reinforcing steel bar connection respectively correspond to a final-stage task item. It should be understood that some construction skills may have multiple levels, and that the construction skill corresponding to the final task item is the last construction skill.

In some embodiments, a task item that produces/builds a component unit may be composed of one or more subtask items. For example, a task item for building a wall may be made up of multiple sub-task items, each sub-task item being unable to be subdivided, i.e., one sub-task item may be considered a final task item. Accordingly, each minimum production unit may correspond to a final task item corresponding to a component unit in a space unit. By way of example only, a space unit is a space range of building "wall 1 of component a in floor 1 of unit project 1 of project department 1," wall 1 "is a component unit corresponding to the space unit, and the final task item corresponding to the component unit may include: "clean and level the wall location", "wet the brick", "pay out with ink lines at the wall location", etc., each of these final tasks may correspond to a minimum production unit.

In some embodiments, different component units may include partially identical final task items. When the space units to which the same final task items belong are different, the corresponding minimum production units are different.

In some embodiments of the present disclosure, the same final task item belonging to different spatial units is divided into different minimum production units, so that task management at a spatial level can be implemented, and a management party is facilitated to grasp task execution conditions in each spatial unit.

In some embodiments, the partitioning module 120 may determine an encoding information table of the construction project through a preset encoding rule based on the task item set, the spatial information, and the component information; and obtaining a plurality of minimum production units based on the coding information table of the construction project.

In some embodiments, the partitioning module 120 may determine a construction position of each task item in the task item set according to spatial information of the construction item, determine a final task item corresponding to each component unit according to component information of the construction item, and determine a coding information table corresponding to the construction item by coding the construction position and the final task item through a preset coding rule.

In some embodiments, the preset encoding rules may be: and coding the space dimension according to the construction position and coding the task item dimension according to the final task item.

The spatial dimension may be in a variety of forms. By way of example only, the spatial dimensions include elements of four dimensions of project department, unit project, floor or partition, component unit, and the like. In some embodiments, the partitioning module 120 may determine the code of the construction location in the spatial dimension according to the project department, unit project, floor or partition, and component unit to which the construction location belongs through the first code lookup table. The first code comparison table comprises corresponding relations between different elements and different codes. For example, the code header corresponding to the item part may be "XM", the code header corresponding to the unit project may be "LD", the code header corresponding to the floor or partition may be "LCF", and the code header corresponding to the component unit may be "KZ". The corresponding codes are different according to the specific contents of project parts, unit projects, floors or partitions and component units. For example, different item parts may be denoted as "XM001", "XM002", "XM003", etc., and different unit projects may be denoted as "LD001", "LD002", "LD003", etc. In some embodiments, the first code look-up table may be preset by a human or a system.

In the task item dimension, different final task items correspond to different encodings. In some embodiments, partitioning module 120 may determine the encodings of the final task item in the task item dimension from the final task item via a second encoding lookup table. The second code comparison table comprises corresponding relations between different final-stage task items and different codes. For example, the code corresponding to the last-stage task item a may be "ZT00001", the code corresponding to the last-stage task item b may be "ZT00002", the code corresponding to the last-stage task item c may be "ZT00003", and the like. In some embodiments, the second code look-up table may be manually or systematically preset.

In some embodiments, the partitioning module 120 may associate the codes of each final task item in the construction project in the task dimension with the codes of the construction positions corresponding to the same final task item in the space dimension one by one, so as to construct the coding information table of the construction project. As shown in fig. 5, the last-stage task item of the first row in the table has a code "ZT00001" in the task item dimension, the code of the item part to which the last-stage task item belongs is "XM001", the code of the construction unit to which the last-stage task item belongs is "LD001", the code of the floor or partition to which the last-stage task item belongs is "LCF001", and the code of the part unit to which the last-stage task item belongs is "KZ001", that is, the code of the last-stage task item in the space dimension is "XM001-LD001-LCF001-KZ001"; by associating "ZT00001" with "XM001-LD001-LCF001-KZ001", it is possible to obtain "XM001-LD001-LCF001-KZ001-ZT00001" as the encoding information of the final task item. The second row of the final task item in the table is "ZT00001" in the task item dimension, the code of the item part to which the final task item belongs is "XM001", the code of the unit project to which the final task item belongs is "LD001", the code of the floor or partition to which the final task item belongs is "LCF001", the code of the unit of the final component is "KZ002", that is, the code of the final task item in the space dimension is "XM001-LD001-LCF001-KZ002", and "ZT00001" is associated with "XM001-LD001-LCF001-KZ002", so on, the "XM001-LD001-LCF001-KZ002-ZT00001" is obtained as the code information of the final task item, … …, and so on, the code information table 500 shown in fig. 5 can be obtained.

In some embodiments, the partitioning module 120 may obtain a plurality of minimum production units according to a correspondence between each final task item and each construction location in the coding information table of the construction item. For example, partitioning module 120 can associate a final task item with one or more construction sites to determine one or more minimum production units. By way of example only, in the encoding information table 500 shown in fig. 5: the last-stage task item "ZT00001" of the first row may constitute a minimum production unit with the belonging construction site "XM001-LD001-LCF001-KZ001", the last-stage task item "ZT00001" of the second row may constitute a minimum production unit with the belonging construction site "XM001-LD001-LCF001-KZ002", and the last-stage task item "ZT00001" of the third row may constitute a minimum production unit with the belonging construction site "XM001-LD001-LCF001-KZ 003"; the final task item "ZT00002" of the fourth row may form a minimum production unit with the associated construction site "XM001-LD001-LCF001-KZ001", the final task item "ZT00002" of the fifth row may form a minimum production unit with the associated construction site "XM001-LD001-LCF001-KZ002", … …, and so on, resulting in a plurality of minimum production units.

In some embodiments, partitioning module 120 may construct a space-task item matrix based on the task item set, the space information, and the component information of the construction project; based on the space-task item matrix, a plurality of minimum production units is determined.

In some embodiments, the last-level task item case contained in a different space cell may be included in the space-task item matrix. Wherein element a _ij in the space-task item matrix may represent the j-th final task item of the i-th space unit.

In some embodiments, partitioning module 120 may construct a space-task item matrix based on a plurality of final task items contained in the construction item and the spatial information of the construction item. In some embodiments, partitioning module 120 may aggregate the last-level task items by the space unit to which the last-level task items belong, placing one or more last-level task items belonging to the same space unit in the same row or column in the space-task item matrix. As shown in FIG. 6, the space-task item matrix 600 has different final task items arranged in the horizontal axis direction and different space units arranged in the vertical axis direction; wherein the 4 final task items of a ₁₁、a₁₂、a₁₃、a₁₄ belong to space unit 1, which can be placed in the first row in space-task item matrix 600; a ₂₁、a₂₂、a₂₃ the 3 final task items belong to space unit 2, which can be placed in the second row in space-task item matrix 600; the 4 last-level task items a ₃₁、a₃₂、a₃₃、a₃₄ belong to space unit 3, which can be placed in the third row in space-task item matrix 600.

In some embodiments, partitioning module 120 may determine a single final task item belonging to a different spatial unit as a minimum production unit based on the spatial-task item matrix, ultimately determining a plurality of minimum production units. In the space-task item matrix 600 shown in fig. 6, 4 final task items in space unit 1 and space unit 3 correspond to 4 minimum production units, and 3 final task items in space unit 2 correspond to 3 minimum production units, i.e., the entire construction project includes 11 minimum production units.

In some embodiments, partitioning module 120 may also add the encoding information for the final task item in the space dimension and the task item dimension to the space-task item matrix, i.e., element a _ij in the space-task item matrix corresponds to a unique encoding.

Step 430, dispatching a job ticket to at least one construction party, each job ticket including at least a portion of the plurality of minimum production units. In some embodiments, dispatch module 130 performs step 430.

The job ticket refers to a list of tasks assigned to a construction party (e.g., worker) for construction. In some embodiments, the minimum production units may be dispatched to the worker in the form of a job ticket.

In some embodiments, one or more minimum production units may be included in each job ticket. In some embodiments, the minimum production units in the task sheet exist in the form of tasks, i.e., the task sheet includes a plurality of tasks, each task corresponding to a final task item represented by a minimum production unit.

In some embodiments, dispatch module 130 may construct at least one job ticket in a variety of ways based on a plurality of minimum production units. In some embodiments, dispatch module 130 may construct one or more minimum production units (or last-level task items) belonging to the same spatial unit as a task sheet. In some embodiments, dispatch module 130 may construct one or more minimum production units (or last-level task items) for producing the same component unit as a task sheet. In some embodiments, dispatch module 130 may also construct one or more minimum production units (or final task items) that can be accepted by the same constructor as a task sheet based on the acceptance scope of the constructor. The manner of constructing the task sheet in the embodiment of the present specification is not particularly limited, and may be set according to actual requirements.

As shown in fig. 7, 11 minimum production units included in the space-task item matrix 600 may be divided into 3 task sheets, where task sheet 1 includes 7 minimum production units (a ₂₁,a₂₂,a₂₃,a₃₁,a₃₂,a₃₃,a₃₄), task sheet 2 includes 3 minimum production units (a ₁₁,a₁₂,a₁₃), and task sheet 3 includes 1 minimum production unit (a ₁₄).

In some embodiments, the dispatch module 130 may dispatch the job ticket to at least one constructor in a variety of ways. For example, dispatch module 130 may dispatch a job ticket to a constructor. For example, dispatch module 130 may dispatch multiple job tickets to one constructor or multiple constructors. The job ticket received by each constructor is not repeated. The manner of distributing the task sheet is not particularly limited in the embodiment of the present invention, and may be performed by operations well known to those skilled in the art.

Step 440, obtaining acceptance information of the plurality of minimum production units, and determining the construction progress of the construction project based on the acceptance information. In some embodiments, acceptance module 140 performs step 440.

The acceptance information refers to information related to the acceptance of the job ticket. In some embodiments, the acceptance information includes one or more of an actual progress (e.g., accepted or not accepted, etc.), an actual ergonomic consumption, an actual production time, etc. of each minimum production unit in the job ticket. When the minimum production unit is accepted, indicating that the minimum production unit is finished; when the minimum production unit is not verified, it indicates that the minimum production unit is not completed. The actual production time of the minimum production unit comprises an actual start time, an actual end time and/or an actual duration of the minimum production unit. When the minimum production unit is not finished, the actual finishing time is unknown. The actual ergonomic consumption of the minimum production unit refers to the actual production efficiency when the minimum production unit is executed. In some embodiments, acceptance module 140 may determine the ratio of the actual workload of the minimum production unit to the actual time consumption as the actual ergonomic consumption of the minimum production unit. In some embodiments, acceptance module 140 may determine the difference between the actual start time of the minimum production unit and the current time as the actual time consumption of the minimum production unit.

In some embodiments, acceptance module 140 may obtain acceptance information for the smallest production unit based on user input. For example, when a user (e.g., a constructor, etc.) enters an actual end time of a minimum production unit, acceptance module 140 may determine acceptance information for the minimum production unit as accepted; when the actual end time of the minimum production unit is not received, acceptance module 140 may determine acceptance information for the minimum production unit as not accepted. The embodiment of the present specification is not particularly limited, and may employ an operation well known to those skilled in the art.

The construction progress is an index for measuring the completion of the construction project. The progress of construction may be indicated in a variety of ways. For example, the progress of construction may be represented in various ways, such as a Gantt chart, a schedule, and the like. The relationship between the construction plan (e.g., planned start time, planned end time, etc.) and the actual progress (e.g., actual start time, actual end time, etc.), the percentage of completion of each task item, and/or each minimum production unit, may be represented by a Gantt chart and/or schedule.

In some embodiments, acceptance module 140 may determine a completion percentage of each task item in the construction project based on acceptance information of the plurality of minimum production units, thereby obtaining a construction progress of the construction project. For example, acceptance module 140 can determine a ratio of the number of minimum production units accepted in the construction project to the total number of minimum production units contained in the task project as a percentage of completion of the task project. Acceptance module 140 can further construct a Gantt chart and/or schedule based on the percentage of completion, construction plan, and/or actual progress of each task item. When the task item is not finished, the actual end time is unknown. The planned starting time and the planned ending time can be determined according to a preset construction schedule, and the actual starting time can be determined according to actual data uploaded by a constructor.

The task completion degree refers to the completion condition of the task sheet. For example, when all the minimum production units in the task sheet have been accepted, the task completion degree of the task sheet may be 1; when no minimum production unit in the task list is checked and accepted, the task completion degree of the task list can be 0; the task completion degree in other cases is any value from 0 to 1.

In some embodiments, acceptance module 140 may determine the task completion of the task sheet based on acceptance information for the smallest production unit contained in the task sheet. For example, acceptance module 140 can determine a ratio of the number of accepted minimum production units in the job ticket to the total number of minimum production units contained in the job ticket as the job completion of the job ticket.

In some embodiments, acceptance module 140 may determine the progress of the construction project based on the task completion of at least one task sheet included in the construction project. For example, the acceptance module 140 may draw a Gantt chart and/or a schedule according to the task completion degree of at least one task sheet included in the construction project, and so on, to obtain the construction progress of the construction project.

In some embodiments of the present disclosure, the construction progress of a construction project may be determined from management dimension analysis of a task sheet by dividing the construction project into task sheets, determining the task completion of the task sheets, and thus determining the construction progress of the construction project. The method is beneficial to the management side to accurately grasp the construction conditions of each construction side, and is beneficial to the management side to conduct targeted management optimization.

In some embodiments, acceptance module 140 may aggregate a plurality of minimum production units included in the construction project into at least one task process, and determine a process completion of each task process, and determine a construction progress of the construction project according to the process completion of each task process.

In some embodiments, the acceptance module 140 may aggregate the plurality of minimum production units into at least one task process by presetting an aggregation condition based on the spatial information and the part information of the construction project.

A task process refers to a sequence of one or more minimum production units. In some embodiments, there is a production order for one or more minimum production units included in the task process. For example, a task process includes 3 minimum production units, and the existing production sequence may include: after the first minimum production unit is finished, the second minimum production unit can be performed; after the second minimum production unit is completed, the third minimum production unit can be performed.

The preset aggregation condition is an algorithm or rule for aggregating one or more minimum production units into one task process. In some embodiments, the preset polymerization conditions may be: the minimum production units corresponding to the plurality of final task items required for constructing one of the component units are aggregated into one task process in production order. Multiple task processes can be determined from different space units and different component units. In some embodiments, the preset polymerization conditions may be: and aggregating the minimum production units corresponding to the plurality of final task items in one task item in one space unit into one task procedure according to the production sequence. Multiple task processes may be determined from different space units, different task items. The preset polymerization conditions may also be in any other possible form, and are not limited herein.

In some embodiments, at least one task procedure may be determined in one spatial unit. In some embodiments, the number and/or types of task processes determined in different spatial units may be the same or different.

Some embodiments of the present disclosure facilitate the analytical determination and management of the progress of a construction project from the management dimension of the task process by aggregating a plurality of minimum production units contained in the construction project into at least one task process.

In some embodiments, acceptance module 140 may determine the process completion of the task process based on acceptance information for the smallest production unit, spatial information for the construction project, process information; and determining the construction progress based on the process completion.

The process information refers to information related to the division of task processes. In some embodiments, the process information may include one or more of a spatial unit corresponding to the task process, a division number of the task process, a production order of a plurality of minimum production units included in each task process, coding information, a construction plan, an actual progress, and the like.

The process completion refers to the completion of the task process. For example, when all the minimum production units in a task process have been accepted, the process completion degree of the task process may be 1; when no minimum production unit is accepted in the task process, the process completion of the task process may be 0; in other cases, the process completion is an arbitrary value of 0 to 1.

In some embodiments, acceptance module 140 may determine a set of acceptance information for the smallest production unit that each task process contains in each space unit based on the acceptance information, the space information, and the process information; based on the acceptance information set, a process completion degree of each task process is determined. In some embodiments, acceptance module 140 may cluster minimum production units belonging to a same task process in a same spatial unit according to the spatial unit and task process to which the minimum production unit belongs; and combining the acceptance information of the clustered minimum production units to obtain an acceptance information set.

In some embodiments, acceptance module 140 may determine a ratio of a number of minimum production units accepted to a total number of elements of the acceptance information set as a process completion of the task process based on the acceptance information set corresponding to the task process.

In some embodiments, acceptance module 140 may determine the progress of the construction project based on the degree of completion of the at least one task procedure included in the construction project. For example, the acceptance module 140 may draw a gante chart and/or a schedule according to the process completion degree of at least one task process included in the construction project, and obtain the construction progress of the construction project.

In some embodiments of the present description, the construction progress of a construction project may be determined from management dimension analysis of a task process by dividing the construction project into task processes, determining the process completion of the task process, and thus determining the construction progress of the construction project. The method is beneficial to the management side to accurately grasp the construction condition of each task procedure and is beneficial to the management side to conduct targeted management and optimization.

In some embodiments, acceptance module 140 may also construct an area-procedure matrix based on the spatial information of the construction project and the at least one task procedure determined previously.

In some embodiments, the area-process matrix may include instances of task processes contained in different spatial partitions. For example, element b _r,s in the region-process matrix may represent the ith task process for the nth spatial partition.

In some embodiments, acceptance module 140 may aggregate task processes by the spatial partition to which the task processes belong, placing one or more task processes belonging to the same spatial partition in the same row or column in the region-process matrix. In some embodiments, acceptance module 140 may further display each task process in a matrix (e.g., in the form of a space-task item matrix). The acceptance module 140 may aggregate the plurality of minimum production units included in the task procedure according to the space units to which the minimum production units belong, and place one or more minimum production units belonging to the same space unit in the same row or the same column in the space-task item matrix corresponding to the task procedure.

As shown in fig. 8, the information displayed by the area-process matrix 800 includes: the (r-1) th space partition comprises the(s) th task process b _r-1,s, and the (r-1) th space partition has no (s+1) th task process; the (r) th space partition comprises the(s) th task process b _r,s, and the (s+1) th task process is not arranged in the (r) th space partition; the (r+1) th spatial partition includes the(s) th task process b _r+1,s, and the (r+1) th spatial partition has no (s+1) th task process. The information further displayed by the space-task item matrix corresponding to the (r-1) th space partition(s) th task process (b _r-1,s) includes: the 1 st space unit contains the minimum production units (a 11, a12, a13, a 14), the 2 nd space unit contains the minimum production units (a 21, a22, a 23), and the 3 rd space unit contains the minimum production units (a 31, a32, a33, a 34). The information further displayed by the space-task item matrix corresponding to the s task process b _r,s of the r-th space partition includes: the 1 st space unit contains the minimum production units (a 41, a42, a43, a 44), the 2 nd space unit contains the minimum production units (a 51, a52, a53, a 54), and the 3 rd space unit contains the minimum production units (a 61, a62, a63, a 64). The information further displayed by the space-task item matrix corresponding to the (r+1) th space partition(s) th task process b _r+1,s includes: the 1 st space unit contains the smallest production units (a 71, a72, a 73), the 2 nd space unit contains the smallest production units (a 81, a82, a83, a 84), and the 3 rd space unit contains the smallest production units (a 91, a92, a 93).

In some embodiments, acceptance module 140 can add information for one or more of the time dimensions of the planned start time, the planned end time, the actual start time, the actual end time for the minimum production unit to the area-process matrix; and carrying out color marking on the area-procedure matrix according to the acceptance information of the minimum production unit to obtain an image progress display table for visually displaying the construction progress of the construction project. For example, the acceptance information may be embodied in the form of no indicia, dark indicia, light indicia, or the like. The dark mark indicates that the minimum production unit was not accepted after the planned end time was reached, the light mark indicates that the minimum production unit was accepted before the planned end time was reached, and the no mark indicates that the current time did not reach the planned end time of the minimum production unit.

As shown in fig. 9, the image progress display table 900 includes correspondence between each floor of the building body and task processes included in each floor, where each task process included in each floor may include a plurality of minimum production units such as "main body", "exterior wall putty", "aluminum window", "railing", "masonry", "public area plastering", "heat preservation", "terrace", "indoor plastering", "public area decoration", and the like. The time dimension contained in the visual schedule presentation table 900 is the planned end time for each minimum production unit. In practical application, the acceptance information of each minimum production unit can be represented by using different color marks. For example, a planned end time for which the current time does not reach the minimum production unit is indicated by a first color mark, a minimum production unit that has been checked before reaching the planned end time is indicated by a second color mark, and a minimum production unit that has not been checked after reaching the planned end time is indicated by a third color mark. Assuming that the current time is 7 months 20 days, the third color mark in the visual progress display table 900 indicates that the minimum production unit was not checked on and before 7 months 20 days, the second color mark indicates that the minimum production unit was checked on and before 7 months 20 days, and the first color mark indicates that the planned ending time of the minimum production unit is after 7 months 20 days.

In some embodiments of the present disclosure, the interpenetration conditions of each region and each task process may be intuitively and vividly displayed by constructing a region-process matrix; and (3) adding the time dimension information of each minimum production unit into the area-procedure matrix, and distinguishing the acceptance condition of the minimum production unit by using a color mark, so that dynamic visual results of construction dynamic simulation, plan and actual dynamic comparison, construction process duplication and the like can be obtained.

In some embodiments, the acceptance module 140 may also store the bill information and the construction data documents involved in the construction process in an area-process matrix and in a one-to-one correspondence with the minimum production units. The bill information includes, but is not limited to, cost information, production information, acceptance information, and the like. The production information may include, among other things, the actual ergonomic consumption, the actual cost consumption, etc. of the minimum production unit.

In some embodiments of the present disclosure, document information and construction data documents related in the construction process are stored in an area-procedure matrix, so that the progress and cost of the minimum production unit can be monitored in real time, and the information is automatically fed back to the two-dimensional area-procedure matrix, thereby facilitating the realization of data and visual progress expression by using the drawer-type area-procedure matrix, and facilitating the management side to automatically and rapidly read the production and cost information of the minimum production unit.

Physical engineering is difficult to quantify. In some embodiments of the present disclosure, the construction project is deconstructed into the minimum production unit identifiable by the computer through the space and task item coding mode, so that the construction workload of the whole entity project can be quantified, and the implementation progress, the cost can be quantified and calculated.

FIG. 10 is an exemplary flow chart of a progress of a predictive task process, according to some embodiments of the present disclosure. In some embodiments, the process 1000 may be performed by the construction progress management system 100 (e.g., a prediction module) or a processor. As shown in fig. 10, the process 1000 includes the following steps.

In step 1010, in response to the task procedure including the accepted minimum production unit, an equivalent work efficiency and/or an equivalent cost of the first minimum production unit is determined based on the labor information and/or acceptance information of the task sheet.

The job information refers to information related to the production situation of the job ticket. In some embodiments, the logging information includes one or more of a construction plan, actual cost consumption, etc. for each minimum production unit in the job ticket. For more description of construction plans, acceptance information see fig. 4 and its associated description.

In some embodiments, the prediction module may obtain the record information and acceptance information of the job ticket based on the input of the constructor. For example, the constructor may upload information such as actual start time, actual cost consumption, actual work efficiency consumption, etc. of each minimum production unit in the job ticket from the terminal device. The prediction module may determine the actual production time based on a difference between the actual start time and the current time of the minimum production unit.

In some embodiments, the first minimum production unit is an approved minimum production unit. The first minimum production unit may be determined based on acceptance information of the minimum production unit. For example, a minimum production unit for which the acceptance information is "accepted" may be determined as the first minimum production unit.

Equivalent work efficiency refers to an index related to the actual production efficiency of producing the first minimum production unit. In some embodiments, the equivalent work efficiency may be used to uniformly scale the actual production efficiency of each first minimum production unit in the job ticket.

The equivalent cost refers to an index related to the cost actually consumed for producing the first minimum production unit. In some embodiments, the equivalent cost may be used to uniformly scale the cost actually consumed by each first minimum production unit in the job ticket.

In some embodiments, the prediction module may accumulate the actual work efficiency consumption of each first minimum production unit included in the task sheet, and determine a ratio of the total work efficiency consumption to the number of first minimum production units as an equivalent work efficiency; and/or accumulating the actual cost consumption of each first minimum production unit contained in the task sheet, and determining the ratio of the sum of the cost consumption to the number of the first minimum production units as the equivalent cost. In some embodiments, the prediction module may determine a ratio of an actual workload of the first minimum production unit to an actual time consumption as an actual ergonomic consumption of the first minimum production unit.

In some embodiments, the prediction module may determine the equivalent work efficiency based on the actual work efficiency consumption of the job ticket and the number of first minimum production units the job ticket contains; and/or determining an equivalent cost based on the actual cost consumption of the job ticket and the number of first minimum production units the job ticket contains.

The actual work efficiency consumption of the task sheet refers to the actual production efficiency when executing the task sheet. In some embodiments, the prediction module may determine a ratio of an actual workload of the task sheet to an actual time consumption as an actual ergonomic consumption of the task sheet. In some embodiments, the prediction module may determine a difference between an actual start time of a smallest production unit in the task sheet that starts production earliest and a current time as an actual time consumption of the task sheet.

In some embodiments, the prediction module may determine a ratio of an actual ergonomic consumption of the job ticket to a number of first minimum production units contained in the job ticket as the equivalent cost.

The actual cost consumption of a task sheet refers to the cost actually consumed when executing the task sheet. In some embodiments, the prediction module may determine the actual cost consumption of the task sheet based on the job information of the task sheet.

In some embodiments, the prediction module may determine a ratio of an actual cost consumption of the job ticket to a number of first minimum production units contained in the job ticket as the equivalent cost.

In some embodiments of the present disclosure, by using the actual work efficiency consumption and the actual cost consumption of the task sheet, the equivalent work efficiency and/or the equivalent cost of each minimum accepted production unit can be determined efficiently and accurately, which is beneficial to determining the estimated work efficiency and/or the estimated cost of the minimum accepted production unit.

Step 1020, determining estimated work efficiency and/or estimated cost of the second minimum production unit based on the equivalent work efficiency and/or equivalent cost and the spatial information.

In some embodiments, the second minimum production unit is an approved minimum production unit. The second minimum production unit may be determined based on acceptance information of the minimum production unit. For example, the minimum production unit for which the acceptance information is "not accepted" may be determined as the second minimum production unit.

The estimated work efficiency refers to an index related to the estimated production efficiency of the second smallest production unit. In some embodiments, the estimated work efficiency may be used to measure the estimated production efficiency of a second minimum production unit in the job ticket. The estimated work efficiency corresponding to the different second minimum production units may be different.

The estimated cost refers to an index related to the cost of producing the second smallest production unit estimated to consume. In some embodiments, the estimated cost may be used to measure the cost of estimated consumption of a second smallest production unit in the job ticket. The estimated cost corresponding to the different second minimum production units may be different.

The estimated work efficiency and/or estimated cost may be determined in a variety of ways. In some embodiments, the prediction module may determine, based on the spatial information of the construction project, a corresponding second minimum production unit that belongs to the same component unit within a different spatial unit than the first minimum production unit; and determining the estimated work efficiency and/or the estimated cost of the corresponding second minimum production unit according to the equivalent work efficiency and/or the equivalent cost of the first minimum production unit. For example, the first minimum production unit p1, the first minimum production unit p2 and the first minimum production unit p3 are "exterior wall putty", the space units are "3 building-2 building-1 building", and the component units are "exterior walls", respectively; the second minimum production unit d1 is 'exterior wall putty', the space unit is 'building 4', the part unit is 'exterior wall', and the estimated work efficiency and/or the estimated cost of the corresponding second minimum production unit d1 can be determined according to the equivalent work efficiency and/or the equivalent cost of the first minimum production units p1-p 3.

In some embodiments, the prediction module may respectively perform weighted calculation on the equivalent work efficiency and/or the equivalent cost of the first minimum production unit, and determine the estimated work efficiency and/or the estimated cost of the second minimum production unit. Wherein the weighting weights of the different first minimum production units may be different. In some embodiments, the weighting weights may be system default values, empirical values, manually preset values, etc. or any combination thereof, and may be set according to actual requirements, which is not limited in this specification. In some embodiments, the weighted weights may be determined from a spatial distance between the first minimum production unit and the second minimum production unit. The closer the spatial distance, the greater the weighting.

For example, the weighting weights corresponding to the equivalent work efficiency of the first minimum production units p1-p3 may be r1-r3, the weighting weights corresponding to the equivalent cost of the first minimum production units p1-p3 may be s1-s3, then the estimated work efficiency f=g1×r1+g2×r2+g3 of the second minimum production unit d1 may be determined according to the equivalent work efficiency g1-g3 of the first minimum production units p1-p3, and the estimated cost e=h1×s1+h2+h3×s3 of the second minimum production unit d1 may be determined according to the equivalent cost h1-h3 of the first minimum production units p1-p 3.

In some embodiments, the prediction module may determine, based on the spatial information, a third minimum production unit and/or a fourth minimum production unit whose spatial positional relationship with the second minimum production unit satisfies a preset positional condition; and determining the estimated work efficiency and/or the estimated cost of the second minimum production unit through a preset algorithm based on the equivalent work efficiency and/or the equivalent cost of the third minimum production unit and/or the estimated work efficiency and/or the estimated cost of the fourth minimum production unit.

The spatial positional relationship refers to the positional relationship in space of the spatial units to which the two minimum production units belong. In some embodiments, the spatial positional relationship may include a linear distance of the spatial units to which the two smallest production units belong in the same spatial partition.

In some embodiments, the preset position condition may be that the minimum production units belong to the same spatial partition, and the linear distance between the minimum production units is less than the distance threshold. The distance threshold may be a system default value, an empirical value, an artificial preset value, or any combination thereof, and may be set according to actual requirements, which is not limited in this specification. In some embodiments, the preset position condition may be set according to actual requirements, which is not limited herein.

In some embodiments, the third minimum production unit is one or more of the first minimum production units, i.e., the third minimum production unit is one or more of the approved minimum production units.

In some embodiments, the prediction module may select, as the third minimum production unit, one or more first minimum production units whose spatial positional relationship with the current second minimum production unit satisfies a preset positional condition from among the plurality of first minimum production units. For example, the prediction module may select, from the plurality of first minimum production units, a first minimum production unit that belongs to the same spatial partition as the current second minimum production unit and has a linear distance from the current second minimum production unit that is smaller than a distance threshold as the third minimum production unit.

In some embodiments, the fourth minimum production unit is one or more of the second minimum production units for which estimated work efficiency and/or estimated cost has been determined. Wherein the second minimum production unit for which the estimated work efficiency and/or the estimated cost have been determined refers to the second minimum production unit for which the estimated work efficiency and/or the estimated cost have been calculated according to any one of the embodiments of the present specification. The relevant description of calculating the estimated work efficiency and/or estimated cost is presented in the remainder of fig. 10.

The preset algorithm refers to an algorithm or rule or the like for determining the estimated work efficiency and/or the estimated cost of the second minimum production unit.

The preset algorithm may take a variety of forms. In some embodiments, the preset algorithm may be: in response to the absence of the fourth minimum production unit, performing weighted fusion based on the equivalent work efficiency of the third minimum production unit, and determining the estimated work efficiency of the second minimum production unit; and carrying out weighted fusion based on the equivalent cost of the third minimum production unit, and determining the estimated cost of the second minimum production unit. In some embodiments, the preset algorithm may be: in response to the existence of the fourth minimum production unit, carrying out weighted fusion based on the equivalent work efficiency of the third minimum production unit and the estimated work efficiency of the fourth minimum production unit, and determining the estimated work efficiency of the second minimum production unit; and carrying out weighted fusion on the basis of the equivalent cost of the third minimum production unit and the estimated cost of the fourth minimum production unit, and determining the estimated cost of the second minimum production unit. The weight may be a system default value, an empirical value, a manually preset value, or any combination thereof, and may be set according to actual requirements, which is not limited in this specification.

In some embodiments, the preset algorithm may be: determining a weighted weight of the third minimum production unit and/or the fourth minimum production unit based on the spatial distance between the third minimum production unit and/or the fourth minimum production unit and the second minimum production unit; based on the weighted weight, the equivalent work efficiency and/or the equivalent cost of the third minimum production unit and/or the estimated work efficiency and/or the estimated cost of the fourth minimum production unit, and determining the estimated work efficiency and/or the estimated cost of the second minimum production unit through weighted fusion.

In some embodiments, the prediction module may determine the weighted weight of the third minimum production unit and/or the fourth minimum production unit through a preset lookup table based on the spatial distance between the third minimum production unit and/or the fourth minimum production unit and the second minimum production unit. In some embodiments, the preset lookup table may include a spatial distance between the third minimum production unit and/or the fourth minimum production unit and the second minimum production unit, and a correspondence relationship between the weighted weights of the third minimum production unit and/or the fourth minimum production unit. For example, the correspondence may be: the weight change may be linear or exponential as the weight corresponding to the third minimum production unit and/or the fourth minimum production unit, which have a smaller spatial distance from the second minimum production unit, is higher. In some embodiments, the preset lookup table may be determined based on historical data or a priori knowledge.

In some embodiments, the prediction module may determine the predicted work efficiency and/or the predicted cost of the second minimum production unit by weighted fusion based on the weighted weight and the equivalent work efficiency and/or the equivalent cost of the third minimum production unit in response to the absence of the fourth minimum production unit. For example, the estimated work efficiency z _r＝(c_r-n+2c_r-(n-1)+3c_r-(n-2)+…+nc_r-1)/(1+2+ … +n) of the second minimum production unit r. Wherein z _r is the estimated work efficiency of the second minimum production unit r, c _r-n to c _r-1 are the equivalent work efficiency of the third minimum production unit r-n to the third minimum production unit r-1, respectively, and 1 to n are the weighting weights of the third minimum production unit r-n to the third minimum production unit r-1, respectively; the third minimum production unit r-n is farthest from the second minimum production unit r and corresponds to the minimum weighting weight; the third smallest production unit r-1 is closest to the smallest second production unit r, which corresponds to the largest weighting weight.

In some embodiments, the prediction module may determine, in response to the presence of the fourth minimum production unit, an estimated work efficiency and/or an estimated cost of the second minimum production unit by weighted fusion based on the weighted weights, the equivalent work efficiency and/or the equivalent cost of the third minimum production unit, and the estimated work efficiency and/or the estimated cost of the fourth minimum production unit. For example, the estimated work efficiency of the second minimum production unit r z_r＝(c_r-n+2c_r-(n-1)+3c_r-(n-2)+…+nc_r-1)/(1+2+…+n)+(z_r-m+2z_r-(m-1)+3z_r-(m-2)+…+nz_r-1)/(1+2+…+m).

Wherein z _r is the estimated work efficiency of the second minimum production unit r, z _r-m to z _r-1 are the estimated work efficiency of the fourth minimum production unit r-m to the fourth minimum production unit r-1, respectively, and 1 to m are the weighting weights of the fourth minimum production unit r-n to the fourth minimum production unit r-1, respectively; the fourth minimum production unit r-m is farthest from the minimum second production unit r and corresponds to the minimum weighting weight; the fourth smallest production unit r-1 is closest to the smallest second production unit r, which corresponds to the largest weighting weight.

The calculation manner of the estimated cost of the second minimum production unit is similar to the calculation manner of the estimated work efficiency of the second minimum production unit, and will not be described herein.

In some embodiments of the present disclosure, it is assumed that the work efficiency and cost of the minimum production unit with a closer spatial distance are closer, and according to the equivalent work efficiency and equivalent cost of the third minimum production unit with a spatial position relationship with the second minimum production unit meeting the preset position condition, and according to the spatial distance distribution weight change, the local change of the space can be effectively compatible, and a more accurate predicted value than the experience judgment can be obtained. Furthermore, the estimated work efficiency and the estimated cost of the fourth minimum production unit, of which the spatial position relation with the second minimum production unit meets the preset position condition, are included in the weighted calculation, and the calculation of the rest part can be further optimized according to the determined estimated value, so that the accuracy of the estimated value is improved.

Step 1030, predicting the progress of the task process based on the estimated work efficiency and/or the estimated cost.

The progress of the progress refers to the completion of the task process. In some embodiments, the progress of the advancement may include one or more of an estimated time required for a task procedure, an estimated time required for a critical node, and the like. The expected required time refers to a period of time from the current time point to the acceptance time point of the task procedure.

In some embodiments, the critical node may be the smallest production unit that is important in the task process.

The key nodes may be determined in a number of ways. In some embodiments, the prediction module may determine a minimum production unit with a higher order of dependency (e.g., above a preset threshold) as a critical node. The order dependency refers to the dependency of the current minimum production unit on the completion of one or more minimum production units having a preceding production order. The higher the dependency of the order, the higher the dependency of the current minimum production unit on the completion of one or more minimum production units preceding the production order. In some embodiments, the dependency of the minimum production units may be sequentially increased according to the production order of the minimum production units, and the increasing trend may be in the form of an index type or a multiple type. By way of example only, the production sequence of the 3 smallest production units included in a task process is: and if the minimum production unit q1 is larger than the minimum production unit q2 and smaller than the minimum production unit q3, the sequential dependency degree w1 of the minimum production unit q1 is smaller than the sequential dependency degree w2 of the minimum production unit q2 and smaller than the sequential dependency degree w3 of the minimum production unit q 1.

In some embodiments, the prediction module may determine the minimum production unit for which the planning period is long (e.g., above a preset threshold) as a critical node. The planned construction period may be a difference between the planned ending time and the planned starting time.

In some embodiments, the prediction module may determine the minimum production unit for which the planning cost is high (e.g., above a preset threshold) as a critical node. For more explanation about planning costs, see fig. 11 and its associated description.

The key nodes may also be determined in any other feasible manner, without limitation.

In some embodiments, the prediction module may predict the progress of the task process in a variety of ways based on the estimated work efficiency and/or the estimated cost. In some embodiments, the prediction module may determine a sum of the estimated time spent on all the second minimum production units in the task process as an estimated completion time of the task process. For example, if the sum of estimated time spent for all the second minimum production units in the task process is t _s, it may be determined that the estimated required time for the task process is t _s. In some embodiments, the estimated time consumption of the second minimum production unit may be determined based on the workload and the estimated work efficiency of the second minimum production unit. In some embodiments, the workload of the second minimum production unit may be determined based on the total workload of the task sheet to which the second minimum production unit belongs and the number of minimum production units in the belonging task sheet.

In some embodiments, the prediction module may determine the predicted required time for the critical node based on the location of the critical node in the task process, based on a predicted total of the work efficiency of all second minimum production units located before the critical node in the task process. The determination of the expected time of the critical node is similar to the determination of the expected time of the task process, and will not be described in detail herein.

In some embodiments of the present disclosure, according to the equivalent work efficiency and the equivalent cost of the minimum production unit that is checked in the task list, the pre-estimation procedure and the pre-estimation cost of the minimum production unit that is not checked are determined by combining the spatial information, so that the local change of the space can be compatible, and thus, a more accurate predicted value than the empirical determination can be obtained. For example, a building comprises 10 working procedures in two floors, but only 3 working procedures are needed for three floors or 30 working procedures are needed for three floors, and the situation can not be handled by using the experience of similar working procedures between adjacent floors, but the building is disassembled to the minimum production unit and can be accurately predicted according to the local change of space. The prediction mode can consider recent business changes from a statistical angle, such as suddenly increasing factors influencing efficiency, such as hands, material supply tension, and the like, and improves prediction accuracy.

FIG. 11 is one of exemplary diagrams illustrating a determination of whether to issue an early warning according to some embodiments of the present disclosure.

In some embodiments, the early warning module may determine whether to send out the early warning according to the actual cost consumption of the task sheet.

Referring to FIG. 11, in some embodiments, the early warning module may determine the actual cost consumption 1120 of the task sheet based on the labor information 1110 of the task sheet; determining theoretical cost consumption 1150 of the task sheet based on the task completion 1130 and the planning cost 1140 of the task sheet; and responding to the difference between the actual cost consumption and the theoretical cost consumption to meet the preset early warning condition, and sending out early warning.

The actual cost consumption of a job ticket refers to the sum of the actual cost consumption when the minimum production unit contained in the job ticket is completed. The actual cost consumption of the task sheet may be determined based on the labor information of the task sheet. For example, the early warning module may determine the combination of the actually generated cost consumptions as the actual cost consumptions based on the labor information of the task sheet.

The planning cost of a task sheet refers to the cost budget of a task sheet that is planned in advance. The planning cost of the task sheet may be predetermined by the administrator based on historical data or prior knowledge.

The theoretical cost consumption of a job ticket refers to the sum of theoretical cost consumption when the smallest production unit that the job ticket contains is completed.

In some embodiments, the pre-warning module may determine a product of the task completion of the task sheet and the planning cost as a theoretical cost consumption of the task sheet. For example, the early warning module may scale the task completion to a percentage or a value between 0-1, determining the product of the task completion and the planning cost as the theoretical cost consumption.

The preset early warning condition is a condition for judging whether early warning can be carried out according to the difference between actual cost consumption and theoretical cost consumption. In some embodiments, the preset pre-warning condition may be that the actual cost consumption differs from the theoretical cost consumption by more than a difference threshold. The difference threshold may be a system default value, an empirical value, an artificial preset value, or any combination thereof, and may be set according to actual requirements, which is not limited in this specification. The preset early warning condition can be set according to actual requirements, and is not limited herein.

In some embodiments of the present disclosure, whether to send out an early warning is determined according to a difference between actual cost consumption and theoretical cost consumption of a task sheet, and whether to send out an early warning may be determined from a cost consumption perspective of the task sheet, so that when it is predicted that the cost consumption of the task sheet does not conform to an expected situation, a risk early warning is timely sent out, which is helpful for dynamic deduction of a subsequent construction process and adjustment of a construction policy.

FIG. 12 is a second exemplary diagram illustrating a determination of whether to issue an alert according to some embodiments of the present disclosure.

In some embodiments, the early warning module may determine whether to send out an early warning according to the actual time consumption and the actual work efficiency consumption of the task process.

Referring to FIG. 12, in some embodiments, the pre-warning module may determine an estimated end time 1220 of the task process based on the estimated work efficiency 1210 of the second smallest production unit included within the task process; and sending out early warning in response to the estimated ending time being greater than the planned ending time of the task procedure.

The estimated end time refers to the estimated acceptance time point of the task process. In some embodiments, the pre-warning module may determine an estimated required time for the task process based on an estimated work efficiency of a second minimum production unit included in the task process; and determining the estimated ending time based on the current time point and the estimated required time. For example, when the current time point is T and the expected required time is T _s, the estimated end time is t+t _s. For more description of the expected time needed see step 1030 and its associated description.

The planned ending time of the task process refers to the planned ending time of the last minimum production unit in the task process. For more description of the planned end time of the minimum production unit, see step 440 and its associated description.

In some embodiments, the estimated end time being greater than the planned end time may refer to the estimated end time being located after the planned end time.

In some embodiments of the present disclosure, by predicting the predicted ending time of the task procedure, whether to send out an early warning is determined according to the precedence relationship between the predicted ending time and the planned ending time, whether to send out an early warning may be determined from the angle of whether the task procedure is out of date, so as to send out a risk early warning in time when it is predicted that the task procedure may be out of date, which is helpful for dynamic deduction of the subsequent construction process and adjustment of the construction strategy.

Referring to FIG. 12, in some embodiments, the pre-warning module may determine remaining planning effort 1250 for the task process based on planning effort 1230 for the task process and acceptance information 1240 for the task process; determining a dominant effort 1260 of a second minimum production unit contained within the task process based on the remaining planning effort 1250; and sending out early warning in response to the estimated work efficiency of the second minimum production unit contained in the task procedure being greater than the available work efficiency.

The planning efficiency of a task process refers to the efficiency budget of a task process that is planned in advance. The planning ergonomics of the task process may be predetermined by the administrator based on historical data or prior knowledge.

The remaining planning effort of a task process refers to the remaining effort budget of the task process that has been produced.

In some embodiments, the early warning module may determine an actual ergonomic consumption of the task process based on the acceptance information of the task process, and determine a difference between the planned ergonomic consumption and the actual ergonomic consumption as the remaining planned ergonomics.

Dominating the work efficiency means that the work efficiency budget of each second smallest production unit in the task process is calculated in case the remaining planning work efficiency is fulfilled.

In some embodiments, the pre-warning module may determine a dominant effort for the second minimum production unit contained within the task process based on the remaining planning effort and the number of second minimum production units contained within the task process. For example, the early warning module may determine a ratio of the remaining planning effort to the number of second minimum production units included in the task process as the dominant effort of the second minimum production units included in the task process.

In some embodiments of the present disclosure, by determining the available work efficiency of each second minimum production unit included in the task procedure under the condition that the remaining planned work efficiency is satisfied, whether to send out an early warning may be determined according to whether the available work efficiency of the single second minimum production unit can support the result of the production according to the estimated work efficiency. By the embodiment, whether the early warning is sent out can be judged from the angle of whether the single second minimum production unit exceeds the period, so that the risk early warning is sent out in time when the second minimum production unit is predicted to possibly exceed the period, and the follow-up dynamic deduction of the construction process and the adjustment of the construction strategy are facilitated.

FIG. 13 is a third exemplary diagram illustrating a determination of whether to issue an alert according to some embodiments of the present disclosure.

In some embodiments, the early warning module may determine whether to issue an early warning according to the actual cost consumption of the task process.

Referring to FIG. 13, in some embodiments, the pre-warning module may determine a remaining required cost for the task process based on the estimated cost 1310 of the second smallest production unit contained within the task process 1320; and sending out early warning in response to the remaining required cost being greater than the remaining planning cost of the task process.

The remaining required costs of the task process refer to the sum of costs required to complete all of the second minimum production units in the task process. In some embodiments, the pre-warning module may determine a sum of estimated costs of all second minimum production units in the task process as a remaining required cost of the task process.

The remaining planning cost of a task process refers to the remaining cost budget of the task process that has been produced.

In some embodiments, the pre-warning module may determine a remaining planning cost for the task process based on the planning cost for the task process and the labor information for the task process. In some embodiments, the early warning module may determine an actual cost consumption of the task process based on the logging information of the task process, and determine a difference between the planning cost and the actual cost consumption as a remaining planning cost.

In some embodiments of the present disclosure, by determining the remaining required cost of the task procedure, determining whether to issue an early warning according to the magnitude relation between the remaining required cost and the remaining planning cost, it may be determined whether to issue an early warning from the angle of exceeding the cost budget when all the second minimum production units remain in the task procedure, so as to issue a risk early warning in time when it is predicted that the cost budget may be exceeded, which is helpful for dynamic deduction of the subsequent construction process and adjustment of the construction policy.

Referring to FIG. 13, in some embodiments, the early warning module may determine a remaining planning cost 1340 for the task process based on the planning cost 1330 for the task process and the logging information 1110 for the task process; determining a dominating cost 1350 of the second smallest production unit contained within the task process based on the remaining planning costs 1340; and sending out an early warning in response to the estimated cost of the second smallest production unit contained in the task procedure being greater than the available cost. The relevant description of the remaining planning costs is referred to above.

The dominating costs refer to the cost budget of each second smallest production unit in the task process, in case the remaining planning costs are fulfilled.

In some embodiments, the pre-warning module may determine a dominant effort for the second minimum production unit contained within the task process based on the remaining planning cost and the number of second minimum production units contained within the task process. For example, the pre-warning module may determine a ratio of the remaining planning cost to the number of second minimum production units included in the task process as a dominant cost of the second minimum production units included in the task process.

In some embodiments of the present disclosure, by determining the available costs of each second minimum production unit included in the task procedure when the remaining planning costs are satisfied, it may further be determined whether to issue an early warning according to whether the available costs of the single second minimum production unit can support the result of production thereof according to the estimated costs. By the embodiment, whether the early warning is sent out can be judged from the angle of whether the single second minimum production unit exceeds the cost budget, so that the risk early warning is sent out in time when the second minimum production unit is predicted to possibly exceed the cost budget, and the follow-up dynamic deduction of the construction process and the adjustment of the construction strategy are facilitated.

In this embodiment, the manner of determining whether to send out the early warning is similar to that of the previous embodiment, and will not be described again.

The task process that does not include the minimum accepted production units may be referred to as a zero acceptance task process.

The associated task process refers to a task process having an associated relationship with the zero acceptance task process. In some embodiments, the associated task process includes at least a predetermined number of accepted minimum production units. The preset number may be a system default value, an empirical value, an artificial preset value, or any combination thereof, and may be set according to actual requirements, which is not limited in this specification.

In some embodiments, the pre-warning module may determine the associated task procedure based on the part unit and the space unit corresponding to the smallest production unit included in the zero acceptance task procedure. For example, the early warning unit may determine, as the associated task process, a task process in which the component unit is identical to the component unit corresponding to the zero acceptance task process and the space unit is adjacent to the space unit corresponding to the zero acceptance task process. In some embodiments, the early warning module may also determine the associated task sequence in any other feasible manner, without limitation.

In some embodiments, the pre-warning module may determine the estimated work efficiency and/or the estimated cost of the second smallest production unit included within the task process based on historical labor information and/or historical acceptance information of the associated task process. For example, the early warning module may determine an equivalent work efficiency and/or an equivalent cost of the first minimum production unit in the associated task process based on historical labor information and/or historical acceptance information of the associated task process; and determining the estimated work efficiency and/or the estimated cost of the second minimum production unit in the associated task process based on the equivalent work efficiency and/or the equivalent cost of the first minimum production unit in the associated task process and the space information. Further, the early warning module can enable each minimum production unit in the associated task process to correspond to each minimum production unit in the current task process one by one, and respectively determine the equivalent work efficiency and the equivalent cost of one or more first minimum production units in the associated task process as the estimated work efficiency and the estimated cost of one or more second minimum production units in the current task process; and respectively determining the estimated work efficiency and the estimated cost of one or more second minimum production units in the related task process as the estimated work efficiency and the estimated cost of the corresponding one or more second minimum production units in the current task process.

In some embodiments, the early warning module may further determine an estimated end time and/or a remaining required cost of the critical node in the task process; and sending out early warning in response to the estimated ending time of the key node being greater than the planned ending time and/or the remaining required cost of the key node being greater than the remaining planned cost.

In some embodiments, the early warning module may determine the estimated end time and/or the remaining required cost of the critical node in the task process based on the position of the critical node in the task process according to the estimated work efficiency and/or the estimated cost of the second smallest production unit located before the critical node in the task process. For more description see the relevant description above.

In some embodiments of the present disclosure, in the case that the current task process does not include the accepted minimum production units, the estimated work efficiency and/or the estimated cost of each second minimum production unit in the current task process may be determined by determining the associated task process. According to the embodiment, the problem that the estimated work efficiency and/or the estimated cost of each second minimum production unit are difficult to determine under the condition that the current task process does not comprise the checked minimum production units can be effectively solved according to a parallel estimation mode.

In some embodiments, after the pre-warning is sent, a pushing strategy for the incomplete task procedure can be automatically generated, and the user is prompted with the pushing strategy for the incomplete task procedure.

FIG. 14 is an exemplary flow chart of a propulsion strategy for determining incomplete task processes, according to some embodiments of the present description. In some embodiments, the process 1400 may be performed by the construction progress management system 100 (e.g., a planning module) or a processor. As shown in fig. 14, the process 1400 includes the following steps.

Step 1410, determining an estimated end time for the incomplete task process.

The unfinished task process refers to a task process that includes an unverified minimum production unit.

In some embodiments, the accepted minimum production units may not be included within the incomplete task process. In some embodiments, at least one approved minimal production unit may be included within an incomplete task process.

The estimated end time of the unfinished task process refers to an estimated acceptance time point of the unfinished task process.

In some embodiments, in response to the inclusion of at least one accepted minimum production unit within the incomplete task process, the pre-warning module may determine an estimated required time to complete all of the second minimum production units based on an estimated work efficiency of the second minimum production units contained within the incomplete task process; and determining the estimated ending time of the unfinished task procedure based on the current time point, the performed time of the second minimum production unit and the estimated required time. For example, the current time point is T1, the time of the second minimum production unit is T2, the predicted required time is T ₁, and the predicted end time is (T1+t ₁ -T2). For more description of the expected time needed see step 1030 and its associated description.

In some embodiments, in response to not including the accepted minimum production units within the incomplete task process, the pre-warning module may determine an estimated required time to complete all of the second minimum production units based on the estimated work efficiency of the second minimum production units included within the incomplete task process; and determining the estimated ending time of the unfinished task procedure based on the current time point, the actual starting time of the unfinished task procedure and the estimated required time. For example, the current time point is T3, the actual start time is T4, the predicted required time is T ₂, and the predicted end time is [ T ₂ - (T3-T4) +T3]. For more description of the expected time needed see step 1030 and its associated description.

Step 1420, a first boundary condition between task processes and a second boundary condition of the construction project are obtained.

The first boundary condition between task processes refers to a boundary condition related to the sequence and time interval between part of task processes. For example, the first boundary condition may be various forms such that the task process B can be started only after the task process a is completed, the task process B must be started 5 days before the task process a is completed, the task process B must be started 2 days after the task process a is started, the task process B can be started only after the task process a is started, and the like.

The second boundary condition of the construction project refers to a boundary condition related to a cost budget and a construction period budget of the construction project. For example, the second boundary condition may be a cost budget below X, a construction period budget below Y, and so on.

In some embodiments, the planning module may determine the first boundary condition, the second boundary condition based on production requirements of respective task processes included in the construction project. The production request includes the sequence of each task process, time intervals, a construction plan (for example, a plan start time, a plan end time, etc.), and the like. The production requirements may be predetermined by the administrator.

Step 1430, determining a propulsion strategy for the incomplete task process based on the estimated end time, the first boundary condition, and the second boundary condition.

The propulsion strategy refers to the production scheduling of the second smallest production unit in the task process. For example, the propulsion strategy may include a construction plan, a planning cost, etc. for each second minimum production unit in the mission process. The construction plan of one or more second minimum production units in the propulsion strategy may be interleaved. Examples of the case where the interleaving is performed include: the planned starting time of the second minimum production unit R2 is located between the planned starting time and the planned ending time of the second minimum production unit R1.

In some embodiments, the planning module may determine the advancement strategy for the incomplete task process by querying a strategy lookup table based on the estimated end time, the first boundary condition, and the second boundary condition. In some embodiments, the policy lookup table may include a plurality of pre-estimated end times, a plurality of first boundary conditions, a plurality of second boundary conditions, and a plurality of propulsion policies. In some embodiments, the policy lookup table may be determined based on historical data or a priori knowledge.

In some embodiments, the planning module may determine a plurality of candidate propulsion strategies based on the incomplete procedure; determining a construction period index and a cost index of the candidate propulsion strategy based on the estimated end time, the first boundary condition and the second boundary condition; a propulsion strategy is determined based on the planning objectives and the construction period index and/or the cost index.

Candidate propulsion strategies refer to primarily determined propulsion strategies. The candidate propulsion strategy may be used to determine a final propulsion strategy.

In some embodiments, the planning module may randomly generate a plurality of candidate propulsion strategies based on the incomplete procedure. In some embodiments, the planning module may arrange and combine the plurality of task-incomplete processes based on the estimated end time and the first boundary condition to obtain a plurality of process combinations; and screening the process combination based on the second boundary condition to obtain a plurality of candidate propulsion strategies. For example, the planning module may sort the corresponding incomplete task processes based on the sequence and the time interval of the partial task processes in the first boundary condition, and randomly sort the remaining incomplete task processes to obtain a plurality of process combinations. For another example, the planning module may determine remaining planning costs and remaining planning work efficiency of the task process according to the second boundary condition and the logging information and/or acceptance information of the task process, and exclude process combinations in which the work efficiency sum and the cost sum do not satisfy the second boundary condition, so as to obtain multiple candidate propulsion strategies.

The construction period index refers to the work efficiency consumed in production according to the candidate propulsion strategy. The duration index corresponding to the different candidate propulsion strategies may be different.

In some embodiments, the planning module may arrange the time periods corresponding to the plurality of incomplete task processes on the time axis according to the arrangement of each incomplete task process, the estimated end time of the incomplete task process, and the first boundary condition between the task processes in the candidate recommendation policy; the time period between the earliest time point and the latest time point is determined as a construction period index of the candidate recommendation strategy.

The cost index refers to the cost spent in production according to the candidate boost strategy. The cost index corresponding to the different candidate propulsion strategies may be different.

In some embodiments, the planning module may determine a process cost sum of a plurality of incomplete task processes included in the candidate recommendation policy as a cost index of the candidate recommendation policy. Wherein the process cost of each unfinished task process may be determined based on a sum of estimated costs of the second smallest production units included in the unfinished task process.

In some embodiments, the planning module may select, from among a plurality of candidate propulsion strategies, a candidate propulsion strategy for which the time limit index and/or the cost index meets the planning objective as the final propulsion strategy.

In some embodiments, the planning module may construct a construction period-cost scatter plot based on the construction period index and the cost index of the plurality of candidate propulsion strategies. For example, with the construction period index being the X-axis and the cost index being the Y-axis, innumerable (construction period, cost) scattered points can be obtained in a planar rectangular coordinate system. 15A-15D, each scatter in the project-cost scatter plot represents a different candidate propulsion strategy, the abscissa of each scatter corresponds to the project index of the candidate propulsion strategy, and the ordinate of each scatter corresponds to the cost index of the candidate propulsion strategy.

In some embodiments, the planning objectives include a project period objective. The project period target refers to selecting a propulsion strategy according to a project period index.

In some embodiments, the planning module may determine the propulsion strategy based on the project index in response to the planning target being a project time target. As shown in fig. 15A, the planning module may select a candidate propulsion strategy with an optimal construction period index (e.g., minimum X value) as the propulsion strategy in response to the planning target being a construction period target.

In some embodiments, the planning objectives include cost objectives. Cost targets refer to selecting a propulsion strategy based on a cost index.

In some embodiments, the planning module may determine the propulsion strategy based on the cost index in response to the planning goal being a cost goal. As shown in fig. 15B, the planning module may select a candidate propulsion strategy with an optimal cost index (e.g., a minimum Y value) as the propulsion strategy in response to the planning target being a cost target.

In some embodiments, the planning objectives include dual-optimization objectives. The double-best targets are that when a propulsion strategy is selected, the construction period index and the cost index are considered at the same time, and the influence weights of the construction period index and the cost index are the same. The impact weight may reflect the degree of emphasis on each of the construction index and the cost index when the propulsion strategy is selected. For example, when the impact weight is the same, it is desirable that the construction period index and the cost index are both low when a propulsion strategy is selected.

In some embodiments, the planning module may determine the propulsion strategy based on the project period index and the cost index in response to the planning objective being a dual optimization objective. As shown in fig. 15C, the planning module may select a candidate propulsion strategy with a double-optimal construction period cost (e.g., minimum distance to the origin of coordinates) as the propulsion strategy in response to the planning target being a double-optimal target.

In some embodiments, the planning objectives further include a project period optimization objective. The better objective of the construction period is to consider the construction period index and the cost index simultaneously when a propulsion strategy is selected, wherein the influence weight of the construction period index is higher than that of the cost index. For example, a higher impact weight on the duration index indicates a lower duration index is more desirable when selecting a propulsion strategy.

In some embodiments, the planning module may determine the propulsion strategy based on the project period index and the cost index in response to the planning objective being a project period better objective. As shown in fig. 15D, the planning module may select a candidate propulsion strategy with a higher construction period weight as the propulsion strategy in response to the planning target being a better construction period target. When the influence weight of the construction period index and the cost index is expressed by the elliptical long and short axes, the construction period weight is higher, and the construction period index can be expressed as the elliptical short axis corresponding to the construction period index, that is, the elliptical short axis is located on the X axis or parallel to the X axis.

In some embodiments, the planning objectives further include cost-optimized objectives. The cost better target is that when a propulsion strategy is selected, the construction period index and the cost index are considered at the same time, and the influence weight of the construction period index is lower than that of the cost index. For example, a higher impact weight on the cost index indicates a lower cost index is more desirable when selecting a propulsion strategy.

In some embodiments, the planning module may determine the propulsion strategy based on the project period index and the cost index in response to the planning objective being a project period better objective. For example, the planning module may select a candidate propulsion strategy with a higher cost weight as the propulsion strategy in response to the planning target being a more cost optimal target. When the elliptical short axis is used to represent the influence weight of the construction period index and the cost index, the cost weight is higher, and the cost index can be represented as the elliptical short axis corresponding to the cost index, namely, the elliptical short axis is positioned on the Y axis or parallel to the Y axis.

In some embodiments of the present disclosure, different propulsion strategies are determined according to different planning objectives, and the propulsion strategies may be continuously adjusted according to business objectives (e.g., cost-optimal, construction-period-optimal, etc. business objectives).

In some embodiments, the planning module may further determine a cost-time curve corresponding to the candidate propulsion strategy based on the estimated work efficiency and/or the estimated cost of the second smallest production unit included in the incomplete task process; determining a cash flow time profile based on the cost time profile and the balance data; based on the cash flow time profile, a propulsion strategy is determined.

The cost time curve refers to a curve in which cost consumption varies with construction time. For example, the horizontal axis of the cost time curve may represent construction time and the vertical axis may represent cost consumption. The cost consumption of the candidate boost strategy increases as the construction time increases, reaching a maximum at the end of the construction time.

The balance data refers to data related to income and expense of the management side. The balance data may be determined by the manager input or by the supervisory system.

The cash flow time curve refers to a curve of cash flow as a function of construction time. For example, the horizontal axis of the cash flow time curve may represent construction time and the vertical axis may represent cash flow. Where cash flow refers to the difference in cost and revenue. In this embodiment, the cost includes the cost corresponding to the construction project and other expenses of the manager.

In some embodiments, the planning module may superimpose the balance data in a cost time curve over time to obtain a cash flow curve.

In some embodiments, the planning module may determine the propulsion strategy in a variety of ways based on the cash flow time profile. For example, the planning module may determine a fluctuation of the cash flow from the cash flow time curve, and determine a candidate propulsion strategy with relatively stable cash flow fluctuation as the final propulsion strategy. For another example, the planning module may consider the construction time and determine candidate propulsion strategies with shorter construction times as the final propulsion strategy. The planning module may also determine the recommendation policy in any other feasible manner, without limitation.

In some embodiments of the present disclosure, the recommendation policy is determined based on a cash flow time curve, and the cost and time variation of the recommendation policy and the income situation of the manager can be considered at the same time, so that the manager can select a reasonable recommendation policy according to the actual peak funds bearing capacity and the construction period requirement.

In some embodiments of the present disclosure, the construction plan may be dynamically adjusted by calculating the work efficiency and cost of the minimum production unit, and the data may be used to facilitate the management of the progress of the construction project.

There is also provided in one or more embodiments of the present specification a construction progress management apparatus, the apparatus comprising at least one processor and at least one memory; the at least one memory is configured to store computer instructions; the at least one processor configured to execute at least some of the computer instructions to implement the method of job schedule management as in any one of the embodiments

In one or more embodiments of the present disclosure, there is further provided a computer-readable storage medium storing computer instructions, where when the computer reads the computer instructions in the storage medium, the computer executes the construction progress management method according to any one of the embodiments.

In the embodiments of the present disclosure, when operations performed by the steps are described, unless otherwise specified, the order of the steps may be changed, the steps may be omitted, and other steps may be included in the operation.

The embodiments in this specification are described with respect to systems and modules thereof for convenience of description only and are not limited in scope by the illustrated embodiments. It is possible to combine the individual modules arbitrarily or to construct a subsystem in connection with other modules without departing from the principles of the system.

The embodiments in this specification are for illustration and description only and do not limit the scope of applicability of the specification. Various modifications and changes may be made by those skilled in the art in light of the present description while remaining within the scope of the present description.

Certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.

Aspects of the present description may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.) or by a combination of hardware and software. The above hardware or software may be referred to as a "data block," "module," "engine," "unit," "component," or "system," etc. Furthermore, aspects of the specification may take the form of a computer product, comprising computer-readable program code, embodied in one or more computer-readable media.

A computer storage medium may be any computer readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated through any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or a combination of any of the foregoing.

The computer program code necessary for operation of the various portions of this specification may be written in any one or more programming languages. The program code may execute entirely on the user's computer or as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or processing device. In the latter scenario, the remote computer may be connected to the user's computer through any form of network, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or the use of services such as software as a service (SaaS) in a cloud computing environment.

In some embodiments, numbers describing the components, number of attributes are used, it being understood that such numbers being used in the description of embodiments are modified in some examples by the modifier "about," approximately, "or" substantially. Unless otherwise indicated, "about," "approximately," or "substantially" indicate that the number allows for a 20% variation. Accordingly, in some embodiments, numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by the individual embodiments. Although the numerical ranges and parameters set forth herein are approximations that may be employed in some embodiments to confirm the breadth of the range, in particular embodiments, the setting of such numerical values is as precise as possible.

Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.

Claims

1. A construction progress management method, the method comprising:

acquiring a task item set, space information and component information of a construction project;

Determining a plurality of minimum production units based on the task item set, the space information and the component information, wherein each minimum production unit corresponds to one final task item corresponding to a component unit in one space unit;

dispatching a job ticket to at least one construction party, each job ticket including at least a portion of the plurality of minimum production units;

And acquiring acceptance information of the plurality of minimum production units, and determining the construction progress of the construction project based on the acceptance information.

2. The method of claim 1, wherein the determining a construction progress of the construction project based on the acceptance information comprises:

determining the task completion degree of the task list based on the acceptance information;

And determining the construction progress based on the task completion degree.

3. The method according to claim 2, wherein the method further comprises:

Determining the actual cost consumption of the task sheet based on the labor information of the task sheet;

Determining theoretical cost consumption of the task sheet based on the task completion and the planning cost of the task sheet;

and responding to the difference between the actual cost consumption and the theoretical cost consumption to meet a preset early warning condition, and sending out early warning.

4. The method according to claim 1, wherein the method further comprises:

and aggregating the plurality of minimum production units into at least one task procedure by a preset aggregation condition based on the space information and the component information.

5. The method of claim 4, wherein the determining a construction progress of the construction project based on the acceptance information comprises:

Determining a process completion degree of the task process based on the acceptance information, the spatial information, and the process information;

And determining the construction progress based on the process completion.

6. The method according to claim 4, wherein the method further comprises:

Determining the equivalent work efficiency and/or the equivalent cost of a first minimum production unit based on the acceptance information and/or the record information of the task sheet in response to the acceptance of the minimum production unit in the task procedure, wherein the first minimum production unit is the accepted minimum production unit;

Based on the equivalent work efficiency and/or the equivalent cost and the space information, determining estimated work efficiency and/or estimated cost of a second minimum production unit, wherein the second minimum production unit is the minimum production unit which is not checked;

and predicting the progress of the task procedure based on the estimated work efficiency and/or the estimated cost.

7. The method of claim 6, wherein determining an equivalent work efficiency and/or an equivalent cost for a first minimum production unit based on the acceptance information and/or the job ticket's logging information comprises:

determining the equivalent work efficiency based on the actual work efficiency consumption of the task sheet and the number of the first minimum production units contained in the task sheet; and/or

The equivalent cost is determined based on the actual cost consumption of the job ticket and the number of first minimum production units contained by the job ticket.

8. The method of claim 6, wherein said determining estimated work efficiency and/or estimated cost of a second minimum production unit based on said equivalent work efficiency and/or said equivalent cost, and said spatial information, comprises:

Determining a third minimum production unit and/or a fourth minimum production unit, wherein the spatial position relation between the third minimum production unit and the second minimum production unit meets a preset position condition, the third minimum production unit is one or more of the first minimum production units, and the fourth minimum production unit is one or more of the second minimum production units, the estimated work efficiency and/or the estimated cost of which are determined;

And determining the estimated work efficiency and/or the estimated cost of the second minimum production unit through a preset algorithm based on the equivalent work efficiency and/or the equivalent cost of the third minimum production unit and/or the estimated work efficiency and/or the estimated cost of the fourth minimum production unit.

9. The method of claim 8, wherein the preset algorithm comprises:

determining a weighted weight of the third minimum production unit and/or the fourth minimum production unit based on a spatial distance of the third minimum production unit and/or the fourth minimum production unit from the second minimum production unit;

based on the weighted weights, the equivalent work efficiency and/or the equivalent cost of the third minimum production unit and/or the estimated work efficiency and/or the estimated cost of the fourth minimum production unit, determining the estimated work efficiency and/or the estimated cost of the second minimum production unit through weighted fusion.

10. The method of claim 6, wherein the method further comprises:

Determining an estimated end time of the task process based on the estimated work efficiency of the second minimum production unit contained within the task process;

And sending out early warning in response to the estimated ending time being greater than the planned ending time of the task procedure.

11. The method of claim 6, wherein the method further comprises:

Determining the remaining planning work efficiency of the task process based on the planning work efficiency of the task process and the acceptance information of the task process;

Determining a dominating work efficiency of the second smallest production unit contained within the task process based on the remaining planning work efficiency;

And sending out an early warning in response to the estimated work efficiency of the second minimum production unit contained in the task process being greater than the available work efficiency.

12. The method of claim 6, wherein the method further comprises:

Determining a remaining required cost for the task process based on the estimated cost of the second minimum production unit contained within the task process;

And sending out an early warning in response to the remaining required cost being greater than the remaining planning cost of the task process.

13. The method of claim 6, wherein the method further comprises:

determining the remaining planning cost of the task procedure based on the planning cost of the task procedure and the labor information of the task procedure;

determining a dominant cost of the second smallest production unit contained within the task process based on the remaining planning costs;

and sending an early warning in response to the estimated cost of the second smallest production unit contained within the task process being greater than the available cost.

14. The method according to claim 4, wherein the method further comprises:

Determining an associated task process of the task process in response to the task process excluding the accepted minimum production unit;

determining the estimated work efficiency and/or the estimated cost of the second minimum production unit contained in the task process based on the historical acceptance information and/or the historical engineering information of the associated task process;

determining estimated end time and/or remaining required cost of the task process based on the estimated work efficiency and/or the estimated cost of the second minimum production unit contained within the task process;

and sending out early warning in response to the estimated ending time being greater than the planned ending time and/or the remaining required cost being greater than the remaining planned cost.

15. The method according to claim 6 or 14, characterized in that the method further comprises:

Determining the estimated ending time of the unfinished task procedure;

acquiring a first boundary condition between task procedures and a second boundary condition of a construction item;

And determining a propulsion strategy of the unfinished task procedure based on the estimated ending time, the first boundary condition and the second boundary condition.

16. The method of claim 15, wherein the determining a propulsion strategy for the incomplete task process based on the estimated end time, the first boundary condition, and the second boundary condition comprises:

Determining a plurality of candidate propulsion strategies based on the incomplete task procedures;

Determining a construction period index and a cost index of the candidate propulsion strategy based on the estimated end time, the first boundary condition and the second boundary condition;

the propulsion strategy is determined based on a planning objective and the construction period index and/or the cost index.

17. The method of claim 16, wherein the planning objective comprises a construction objective; the determining the propulsion strategy based on the planning objectives and the construction period index and/or the cost index comprises:

And determining the propulsion strategy based on the construction period index in response to the planning target being the construction period target.

18. The method of claim 16, wherein the planning objective comprises a cost objective; the determining the propulsion strategy based on the planning objectives and the construction period index and/or the cost index comprises:

In response to the planning target being the cost target, the propulsion strategy is determined based on the cost index.

19. The method of claim 16, wherein the method further comprises:

determining a cost time curve corresponding to the candidate propulsion strategy based on estimated work efficiency and/or estimated cost of the second minimum production unit contained in the incomplete task procedure;

Determining a cash flow time profile based on the cost time profile and the balance data;

the propulsion strategy is determined based on the cash flow time profile.

20. A construction progress management system, the system comprising:

The acquisition module is used for acquiring a task item set, space information and component information of a construction project;

the dividing module is used for determining a plurality of minimum production units based on the task item set, the space information and the component information, wherein each minimum production unit corresponds to one final task item corresponding to a component unit in one space unit;

a dispatch module for dispatching a job ticket to at least one construction party, each job ticket including at least a portion of the plurality of minimum production units;

and the acceptance module is used for acquiring acceptance information of the plurality of minimum production units and determining the construction progress of the construction project based on the acceptance information.

21. A construction progress management device, the device comprising at least one processor and at least one memory;

the at least one memory is configured to store computer instructions;

The at least one processor is configured to execute at least some of the computer instructions to implement the construction progress management method of any of claims 1-19.

22. A computer-readable storage medium storing computer instructions that, when read by a computer, perform the construction progress management method according to any one of claims 1 to 19.