CN111126691B - Project management method and related products - Google Patents

Project management method and related products Download PDF

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CN111126691B
CN111126691B CN201911331105.4A CN201911331105A CN111126691B CN 111126691 B CN111126691 B CN 111126691B CN 201911331105 A CN201911331105 A CN 201911331105A CN 111126691 B CN111126691 B CN 111126691B
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张胜浩
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Wanyi Technology Co Ltd
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Abstract

The embodiment of the application provides a project management method and related products, wherein the method comprises the following steps: acquiring target information of a target item and acquiring a plurality of item members of the target item; BIM modeling is achieved based on the target information, and a first target project model is obtained; acquiring suggestions of the project members to obtain a plurality of suggestions; and carrying out optimization processing on the first target project model based on the suggestions to obtain a second target project model. Through the embodiment of the application, modeling can be realized rapidly by means of BIM, project data can be utilized, and the model can be optimized by utilizing suggestions of a plurality of project members, so that project realization efficiency can be improved, and project quality can be improved.

Description

Project management method and related products
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a project management method and related products.
Background
Various quality problems exist in the current project, mainly including: (1) the design quality is low, (the design file is not complete, the design does not meet the requirements of upstream professions, the collision problem is excessive, the holes are not fully opened, the design is changed too much, etc.);
(2) Construction confusion (construction scheme is not detailed, working procedures are not connected, work types are not well matched, hoisting scheme fails, and the like); (3) cost control is out of control (material buying error, material buying waste, and too great cost deviation), etc. The reasons for the quality problems above are mainly the following three points: 1. the reason for low design quality is mainly that communication of project personnel is unsmooth, information is lagged, so that design files do not meet project requirements, and a large number of changes are caused; 2. the construction process is too complex, and relates to working procedures, working types, material stacking, hoisting schemes and the like, and the existing construction scheme mainly uses the previous engineering and personal experience. The experience of each person is different, the construction schemes are different, and the construction schemes are unreasonable; 3. the cost control is to calculate the engineering quantity according to the drawing, the workload is huge, the construction period is short, the drawing cannot meet the requirement of budget calculation of the engineering quantity, the engineering quantity calculation work cannot meet the progress of field cost control due to time, and the field cost control is out of control, so that the problem of how to realize project management to improve the project quality is urgently solved.
Disclosure of Invention
The embodiment of the application provides a project management method and related products, which can realize project management through BIM and can improve project quality.
An embodiment of the present application provides a method for managing items, where the method includes:
acquiring target information of a target item and acquiring a plurality of item members of the target item;
BIM modeling is achieved based on the target information, and a first target project model is obtained;
acquiring suggestions of the project members to obtain a plurality of suggestions;
and carrying out optimization processing on the first target project model based on the suggestions to obtain a second target project model.
A second aspect of embodiments of the present application provides an item management apparatus, the apparatus including: a first acquisition unit, a modeling unit, a second acquisition unit and an optimization unit, wherein,
the first acquisition unit is used for acquiring target information of a target item and acquiring a plurality of item members of the target item;
the modeling unit is used for realizing BIM modeling based on the target data information to obtain a first target project model;
the second obtaining unit is used for obtaining suggestions of the plurality of project members and obtaining a plurality of suggestions;
And the optimizing unit is used for optimizing the first target project model based on the suggestions to obtain a second target project model.
In a third aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, the programs including instructions for performing the steps in the first aspect of the embodiment of the present application.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program causes a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
By implementing the embodiment of the application, the following beneficial effects are achieved:
it can be seen that, according to the project management method and the related product described in the embodiments of the present application, target data information of a target project is obtained, and a plurality of project members of the target project are obtained, BIM modeling is achieved based on the target data information, a first target project model is obtained, suggestions of the plurality of project members are obtained, a plurality of suggestions are obtained, and optimization processing is performed on the first target project model based on the plurality of suggestions, so that a second target project model is obtained.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an embodiment of a project management method according to an embodiment of the present application;
FIG. 2 is a schematic flow chart of an embodiment of another project management method provided in the embodiments of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an item management device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The terms "first," "second," "third," and "fourth" and the like in the description and in the claims of this application and in the drawings, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The electronic device described in the embodiments of the present application may include a smart Phone (such as an Android mobile Phone, an iOS mobile Phone, a Windows Phone mobile Phone, etc.), a tablet computer, a palm computer, an intercom, a notebook computer, a mobile internet device (MID, mobile Internet Devices), a wearable device, etc., which are merely examples, but not exhaustive, including but not limited to the above devices, and of course, the above electronic device may also be a server, a cloud platform, etc.
The embodiments of the present application are described in detail below.
Building information model (Building Information Modeling, BIM) is a building full life cycle informationized management technology. The process is contained in a 3D model for simulation, so that workers at any stage in the whole life cycle of the building can use the model. The BIM model displays various kinds of engineering data which are unsmooth and difficult to understand in front of various kinds of personnel through various visual physical characteristics, so that personnel in various levels can clearly know the whole project, and various functions provided by BIM software extract data required by the personnel. BIM provides a sharing platform for project participants, and each participant can query the related information of the project at any time to provide the required information for project management. Each party may modify, edit, update in the BIM model and pass the relevant information to all parties at the first time. Better realizes the cognitive difference among all the participants and transfers various information to all the participants at the first time.
BIM achieves this effect because of the following features:
1. visualization of
The visualization is mainly represented by: what you see is what you build, what you see is what you need. The following steps are as follows: the effect after the project is completed is seen through the BIM model, and the result of model simulation is completely consistent with the result after the project is completed. What is seen is that: the conditions in the project construction process simulated by the BIM model are consistent with the construction conditions of the project site. What is seen is that: the project unit can be obtained from the BIM model, and any information of the project unit can be obtained, including geometric information, environment information, material information, progress information, cost information, responsible persons, units and other various required information. The visualization forms a three-dimensional physical graph with the prior two-dimensional drawing and displays the three-dimensional physical graph in front of people; the three-dimensional solid object is a model capable of forming interactivity and feedback between components, and a visual result can be used for displaying an effect diagram and generating a report. Communication, discussion and decision making in project design, construction and operation processes are performed in a visual state.
2. Coordination of
The BIM building information model can coordinate collision problems of various professions in the early stage of building construction, and coordination data are generated. The data are used for solving collision problems, design arrangement, clearance requirement coordination, fireproof partition arrangement coordination, underground drainage arrangement coordination and the like of various professionals. The BIM model is the integration of information of each specialty, is the result of cooperative work of each specialty, and can see the relevant information of each specialty of the unit through a unit, and is the latest complete information. Facilitating the mutual communication among the professions.
3. Simulation of
In the design stage, the BIM can perform energy saving simulation, emergency evacuation simulation, sunshine simulation, heat energy conduction simulation and the like on the design; 4D simulation (development time of three-dimensional model plus project) can be performed at bidding and construction stages, namely actual construction is simulated according to organization design of the construction, so that a reasonable construction scheme is determined to guide the construction. Meanwhile, 5D simulation (manufacturing cost control based on a 3D model) can be performed, so that the cost control is realized; the later operation stage can simulate the simulation of the treatment mode of daily emergency, such as earthquake personnel escape simulation, firefighter evacuation simulation and the like.
4. Graphic property
Various drawings can be accurately provided through the BIM model: building drawings, structure drawings, comprehensive piping diagrams, comprehensive structure hole-reserving diagrams (embedded sleeve diagrams), collision detection error-detecting reports, suggested improvement schemes, various reports and the like.
5. Information completeness
The information completeness is embodied in that the BIM technology can describe 3D geometric information and topological relation of engineering objects and complete engineering information. The information of each specialty and each stage is contained, and information islands in the specialty and the construction stage are not existed.
6. Timely and accurate information transmission
BIM changes the mode of acquiring information by project personnel, any one of the models is modified, all the information is automatically updated, each person can acquire the latest project information at the first time, and the problems of lag in information acquisition, unsmooth communication and the like are solved.
The embodiment of the application provides a project management method, which comprises the following steps:
acquiring target information of a target item and acquiring a plurality of item members of the target item;
BIM modeling is achieved based on the target information, and a first target project model is obtained;
acquiring suggestions of the project members to obtain a plurality of suggestions;
and carrying out optimization processing on the first target project model based on the suggestions to obtain a second target project model.
It can be seen that, according to the project management method described in the embodiments of the present application, target data information of a target project is obtained, and a plurality of project members of the target project are obtained, BIM modeling is implemented based on the target data information, a first target project model is obtained, suggestions of the plurality of project members are obtained, a plurality of suggestions are obtained, and optimization processing is performed on the first target project model based on the plurality of suggestions, so that a second target project model is obtained.
In the concrete implementation, based on the BIM system, after the pre-assembly is carried out in a computer through the application of BIM technology, the problem of the installation size and the incorrect installation position does not occur in site construction. In the implementation process, no reworking is performed, the material quantity is controlled, and the cost control deviation is not more than 5%. The application of BIM technology can effectively provide the quality of projects, cover the whole process of the projects, and can provide the projects in the aspects of design construction cost control and the like; and the quality of the project is improved by the aid of the accurate information. As technology advances, BIM is increasingly being used, and it is believed that more projects will use BIM technology in later projects. The application of BIM technology can effectively provide the quality of projects, cover the whole process of the projects, and can provide the projects in the aspects of design construction cost control and the like; and the quality of the project is improved by the aid of the accurate information. As technology advances, BIM is increasingly being used, and it is believed that more projects will use BIM technology in later projects.
Referring to fig. 1, a flowchart of an embodiment of a project management method according to an embodiment of the present application is shown. The project management method described in the present embodiment includes the steps of:
101. Target information of a target item is acquired, and a plurality of item members of the target item are acquired.
The target project may be any engineering project, and the target project may be a building development project, an old city transformation project, an enterprise management project, and the like, which is not limited herein. The target profile information may include a plurality of model components and preset project requirements, based on which the BIM model can be implemented, the preset project requirements may include a plurality of project dimension requirements, and the project dimension may be at least one of cost budget, purchase cost, labor cost, structural map, project flow, vendor information, contract data, flowing data, and the like, without limitation. In a specific implementation, the electronic device may obtain target material information of a target item, and obtain a plurality of item members of the target item.
In one possible example, step 101, obtaining the target profile information aspect of the target item may include the steps of:
11. acquiring target identification information of the target item;
12. when the target identification information exists in a preset white list, acquiring target identity information of a visitor;
13. Verifying the target identity information;
14. and when the target identity information passes the verification, acquiring target information of the target item.
In the embodiment of the application, the target identification information of the target item may include at least one of an item name, an item security level, an item number (code number), and the like, which are not limited herein. The preset whitelist may include at least one identification information, and the preset whitelist may be preset by a system administrator. The target identity information may be at least one of: fingerprint images, iris images, vein images, etc., are not limited herein. In a specific implementation, the target identification information of the target item can be obtained, and when the identification information exists in a preset white list, the user is prompted to input identity information, further, the target identity information of a visitor can be obtained, the target identity information is verified, and when the target identity information is verified, the target information of the target item is obtained, so that the safety of the BIM system can be ensured.
In one possible example, when the target identity information is a vein image, the step 13 of acquiring the target identity information may include the following steps:
131. Image segmentation is carried out on the vein image to obtain a vein line image;
132. determining the area of a vein pattern area in the vein pattern image;
133. determining the number of first characteristic points of the vein line image;
134. determining the distribution density of the target feature points according to the number of the first feature points and the area of the texture area;
135. when the distribution density of the target characteristic points is smaller than the distribution density of the preset characteristic points, performing image enhancement processing on the vein line image to obtain an enhanced vein line image;
136. matching the enhanced vein line image with a preset vein template to obtain the number of second characteristic points of the successfully matched characteristic points;
137. and when the ratio between the number of the second characteristic points and the number of the first characteristic points is larger than a preset matching threshold value, confirming that the target identity information is verified successfully.
The preset feature point distribution density and the preset matching threshold value can be set by a user or default by the system. The preset vein template may be pre-stored in the electronic device.
In specific implementation, the electronic device may perform image segmentation on the vein image to obtain a vein texture image, that is, an image including only vein texture, and may further determine a texture area of a texture area in the vein texture image, and perform feature point extraction on the vein texture image to obtain a plurality of feature points, count a number of feature points of the vein texture image to obtain a number of first feature points, determine a distribution density of target feature points according to the number of first feature points and the texture area, where the distribution density of target feature points=the number of first feature points/the texture area.
And when the distribution density of the target feature points is smaller than the distribution density of the preset feature points, performing image enhancement processing on the vein line image to obtain an enhanced vein line image, specifically, the mapping relationship between the distribution density of the preset feature points and the image enhancement parameters can be prestored in the electronic device, and the image enhancement parameters can be at least one of the following: the image enhancement algorithm, the image enhancement algorithm control parameters, etc., are not limited herein, and the image enhancement algorithm may be at least one of the following: gray stretching, histogram equalization, image sharpening, etc., without limitation, the image enhancement algorithm control parameters can be used to adjust the image enhancement level, and different algorithms correspond to different control parameters. And further, according to a mapping relation between the preset feature point distribution density and the image enhancement parameters, determining target image enhancement parameters corresponding to the target feature point distribution density, and carrying out image enhancement processing on the vein line image according to the target image enhancement parameters to obtain an enhanced vein line image, wherein the enhanced vein line image is matched with a preset vein template to obtain the number of second feature points of successfully matched feature points, and when the ratio between the number of second feature points and the number of first feature points is larger than a preset matching threshold value, confirming that the target identity information is successfully verified, otherwise, confirming that the target identity information is failed to be verified.
Of course, when the distribution density of the target feature points is greater than or equal to the distribution density of the preset feature points, the electronic device can match the vein line image with the preset vein template to obtain the third feature point number of the feature points successfully matched, and when the ratio between the third feature point number and the first feature point number is greater than the preset matching threshold, the verification of the target identity information is confirmed to be successful, otherwise, the verification of the target identity information is confirmed to be failed.
102. And realizing BIM modeling based on the target information to obtain a first target project model.
The electronic equipment can import the target data information into the BIM system to realize BIM modeling, so as to obtain a first target project model.
In one possible example, the target profile information includes a plurality of model components and preset project requirements; the step 102 of implementing BIM modeling based on the target material information to obtain a first target project model may include the following steps:
21. arranging and combining the model components to obtain a plurality of prediction models;
22. screening the plurality of prediction models according to the preset project requirements to obtain at least one target prediction model;
23. Performing model quality evaluation on each target prediction model in the at least one target prediction model to obtain at least one target evaluation value, wherein each target prediction model corresponds to one target evaluation value;
24. and selecting the maximum value in the at least one target evaluation value, and taking a target prediction model corresponding to the maximum value as the first target item model.
In a specific implementation, the target information may include a plurality of model components and preset project requirements, where the model components may be understood as a structural component of the model, and the preset project requirements may be set by a user or default by the system, for example, how much a project is budgeted, how large a preset scale is, and so on, and are not limited herein.
In a specific implementation, the electronic device may arrange and combine a plurality of model components to obtain a plurality of prediction models, screen the plurality of prediction models according to a preset project requirement to obtain at least one target prediction model, that is, a model meeting a certain requirement needs to be selected, further, perform model quality evaluation on each target prediction model in the at least one target prediction model to obtain at least one target evaluation value, each target prediction model corresponds to one target evaluation value, finally select a maximum value in the at least one target evaluation value, and use the target prediction model corresponding to the maximum value as a first target project model, so that on one hand, rapid BIM modeling can be achieved, and on the other hand, model performance can be improved.
Further, in one possible example, the step 23 of performing model quality evaluation on each of the at least one target prediction model to obtain at least one target evaluation value may include the following steps:
231. determining evaluation values of a target prediction model i in multiple dimensions to obtain multiple evaluation values, wherein the target prediction model i is any target prediction model in the at least one target prediction model;
232. determining the weight corresponding to each dimension in the plurality of dimensions to obtain a plurality of weights;
233. and carrying out weighting operation according to the plurality of evaluation values and the plurality of weights to obtain a target evaluation value corresponding to the target preset prediction model i.
Wherein the plurality of dimensions may be at least one of: structure, budget, scale, maintenance, operation, progress, and the like, are not limited herein. The electronic device may determine evaluation values of the target prediction model i in multiple dimensions to obtain multiple evaluation values, where the target prediction model i is any one of the at least one target prediction model, and in addition, each dimension may correspond to a weight, where the weight may be a known value, and further, the electronic device may determine weights corresponding to each of the multiple dimensions to obtain multiple weights, and perform weighting operation according to the multiple evaluation values and the multiple weights to obtain a target evaluation value corresponding to the target preset prediction model i.
103. And acquiring suggestions of the project members to obtain a plurality of suggestions.
The target item may include a plurality of item members, each item member may make a suggestion for the item, the suggestion may be a voice, or text, and the electronic device may obtain suggestions of the plurality of item members, and obtain a plurality of suggestions.
104. And carrying out optimization processing on the first target project model based on the suggestions to obtain a second target project model.
In a specific implementation, the suggestions correspond to some project parameters, and based on the project parameters, the first target project model can be optimized to obtain the second target project model, so that the performance of the model can be further improved.
In the concrete implementation, taking engineering projects as an example, the electronic equipment is based on a BIM system, the on-site installation condition is reproduced through pre-assembly, the problems possibly encountered by on-site installation are found on a computer, and the collision problem is solved. Each railing accurately determines the length and the installation position, does not need to be cut and machined on site, and is directly welded with the platform beam, so that the installation speed is ensured, the workload on site is reduced, the installation quality is ensured, and the problems of site collision or no installation are solved.
In a possible example, the step 104 of optimizing the first target project model based on the plurality of suggestions to obtain a second target project model may include the following steps:
41. screening the suggestions to obtain at least one target suggestion;
42. extracting parameters from the at least one item of target suggestion to obtain target parameters;
43. and carrying out optimization processing on the first target item model based on the target parameters to obtain the second target item model.
In a specific implementation, the electronic device can discriminate a plurality of suggestions, further, the good suggestions can be reserved to obtain at least one item of target suggestion, and parameter extraction can be realized in each suggestion to obtain target parameters, further, optimization processing can be performed on the first target project model based on the target parameters to obtain a second target project model, so that a final agreed project model can be achieved under the negotiation of a plurality of project members, and the model efficiency can be improved.
Further, the step 41 of screening the plurality of suggestions to obtain at least one target suggestion may include the following steps:
411. Obtaining the evaluation of a suggestion j, and obtaining a plurality of evaluations, wherein the suggestion j is any suggestion in the plurality of suggestions;
412. determining the number of good scores and the number of bad scores in the plurality of evaluations;
413. determining a ratio between the good score number and the bad score number;
when the ratio is greater than a preset threshold, reserving the suggestion j;
414. and discarding the suggestion j when the ratio is smaller than or equal to the preset threshold.
The preset threshold value can be set by the user or default by the system. In a specific implementation, taking any suggestion j as an example, the suggestion j is any suggestion in a plurality of suggestions, the electronic device obtains the evaluation of the suggestion j to obtain a plurality of evaluations, and as a plurality of item members evaluate the suggestion, the number of good comments and the number of bad comments in the plurality of evaluations can be determined, and in a specific implementation, the number of good comments and the number of bad comments can be realized through semantic recognition, and further, the ratio between the number of good comments and the number of bad comments can be determined, when the ratio is greater than a preset threshold, the suggestion j is reserved, and when the ratio is less than or equal to the preset threshold, the suggestion j is abandoned, so that the suggestion choice can be realized through a voting mechanism, and the accuracy of the suggestion can be ensured.
In the illustration, the application of BIM in engineering example is taken as an example, the dust removing system and the crude gas system of a certain steel plant are modified greatly, and the original pipeline with the diameter of 3900mm from the elevation of 96.3 m-64 m is replaced by a 4000mm pipeline. The gas pipe enters the dust remover from the original top access to the side tangential access of the dust remover, and is tangentially connected with the dust remover after the access mode is changed into a square 4300mmxl800ram from 4000 mm. The gravity dust collector is changed into a cyclone dust collector with the diameter of 8000m and the diameter of 16000mm of the supporting shell. The elevation of the pipeline connected with the washing tower is changed from 41m to 63m. The related small pipelines, ash removing equipment, maintenance platforms and brackets are correspondingly modified. Wherein, the main engineering amount is as follows: the gravity dust collector is about 60t, the cyclone dust collector is about 160t, the pipeline weight is 105t, and the platform and steel ladder are about 115t. In the project, the visual communication of BIM is utilized to communicate with the first party, understanding ambiguity is accurately and clearly reduced, modeling is performed by utilizing BIM software TEKLA, the model can accurately express the elevation of each platform, the position of the maintenance platform, the clearance of each position and the trend of the stair platform. The first party, the process specialty and the structure specialty together determine the details in the whole project including the setting of the platform and the walkway through the three-dimensional model. When the communication is carried out with the first party, a three-dimensional model is adopted, and the communication is intuitive and accurate. The proposal is quickly determined, the doubt points in the proposal are eliminated, the bifurcation points are eliminated, and the requirements of the first party are clearly and accurately understood. Lays a foundation for the detailed design, avoids the design quality problem and avoids the loss caused by reworking.
Further, where the relationship of certain components is very complex, for example, there are large brackets supporting the delivery tubes, there are walkways trusses from the shaft frame to the dust collector, there are walkways and platforms around the dust collector, and steel ladders connecting the shaft walkways to the dust collector walkway platforms. To ensure that each walkway can be smoothly walked through, it is difficult to ensure that the installation is free from problems through two-dimensional representation. The block has limited space position and is intersected with each other on the vertical surface. The relationship to each other, let alone the exact headroom. Therefore, the first party does not directly put the upper steel ladder on the truss, the steel ladder is required to be provided with the support, the project can be intuitively understood through BIM modeling, and if the steel ladder is provided with the support alone, a person can certainly bump from the steel ladder, and the person does not need to bend down to go. Therefore, the bracket is removed and directly overlapped on the truss.
Furthermore, the first party needs to cancel the support of the large support in order to ensure the smoothness of the furnace body channel, and the large support is the only fulcrum of the raw gas pipeline, which is important, the support is 16m high and 8m wide, after canceling the support, the support can only be made into a rigid frame, the cross section can be greatly enlarged, the support is originally acted on the steel shell, the larger the cross section is, the larger the required support surface is, the larger the damage to the steel shell is, and the my party does not agree to cancel the support. Through the lofting of the TEKLA, the support can be clearly seen and the passage of the channel is not hindered, a person can easily pass through the support, and finally, the first party agrees to the scheme that the support is reserved by the support.
In practice, after BIM communication, each detail is confirmed, and a meeting summary is signed, so that the details are taken as the basis of detailed design, and barriers are cleared for later detailed design and processing and manufacturing. After the two sites are installed on site, the two sites are almost identical to the three-dimensional model, the traffic of people is not affected, and the stress is ensured.
In addition, each component is accurately positioned through a parameterized model, and the machining and manufacturing size of the steel structure are strictly controlled. Through pre-assembly in the computer and coordinated collision inspection, the problems of collision and the like when components are installed on site are avoided, the problems of collision and installation failure in site construction are reduced, and the construction speed and the construction quality are improved. And then the drawing provides a detailed and accurate construction drawing for the first party and the construction unit. The drawings include component positioning, bolt hole positions, detailed dimensions of each component, etc., detailed bill of materials, etc.
For irregular structures, the TEKLA can accurately design and create complex three-dimensional models of steel structures of arbitrary dimensions. Nodes are also created in the model, and can be checked from three dimensions and various views, so that each node is ensured; and good certainty. Through the pre-assembly simulation, the positions of each component, the positions of holes, the positions of stiffening and the positions of the gusset plates can be accurately placed.
After the model is built, software automatically generates a layout, a component diagram and a part diagram. And can ensure 100% accuracy of the drawing. The size of each gusset plate, the length of each member, the bolt hole, the weld joint and the like are all automatically generated, and the size is accurate to millimeter. If the nodes or components in the model are modified, the drawings are automatically modified and marked. Repeated drawing of the designed drawing is not needed, and mistakes caused by human factors are not worried. And the reworking of site construction caused by design errors is avoided.
To sum up, the project is a reconstruction project, mainly replacing large-scale equipment, the existing building is not dismantled, the three building raw gas dust removal systems are newly built after being dismantled, the right hot blast stove system utilizes the original factory building, the lower main factory building also utilizes the existing factory building, the uppermost road is 5m wide, the two sides of the road are pipelines, and the clearance is limited to 5m. The equipment of the main factory building and the equipment of the hot blast stove system are replaced, so that the area surrounded by the middle is a hoisting temporary parking area, and the equipment to be installed by the three systems is hoisted through the area, so that the area cannot be occupied for a long time, and only II potters B and J occupy 1 day. Therefore, the construction sites of project accessories are limited, the construction period is very short, and according to the construction plan, many structures are integrally hoisted after the construction sites are assembled. Thus, the construction site is required to be sufficiently close to the project that the crane can be suspended to the component; or the components may be small enough to be transported by car to a temporary lifting point. According to the conditions, a construction site is set at the left side of a main factory building, and the pillars and the supporting vehicles are transported to the site and installed on site: the shell is hoisted in three sections, the upper part 3m of the column top is a first section, the rest upper part is a second section, and the suspended pipe is a third section. The smallest three components are 20.534m long, 4.16m wide and 19.78m high; the large diameter 16m and the auxiliary components such as a ladder are 18m and the height is 24.239m, so that crane resources can be comprehensively arranged for smooth hoisting operation, and high requirements are provided for the accuracy, rationality, high efficiency and reliability of the hoisting scheme design. If a manual calculation selection mode is adopted, the workload is large, the method is not visual, and the accuracy, the efficiency and the feasibility of the scheme are affected. In order to ensure reasonable and efficient hoisting scheme, project utilization REVIT and naviswork adopt three-dimensional simulation hoisting scheme.
In the concrete implementation, station simulation is mainly performed, the optimal station point and the optimal station position area of the crane are determined by selecting the working radius range of the crane, the initial position and the positioning position of the component, the counterweight area of the crane and the rotation range of the crane are simulated, the occurrence of collision is avoided, and the condition that clamping rods and overload of the crane cannot occur in the range is ensured. Through the movement, lifting, luffing and rotation actions of a real simulation crane, the model is watched from multiple angles through front view, overlook view, side view and other views, and the possible collision in the simulation process is rapidly found through the observation of different angles. And carrying out construction simulation in a virtual environment before construction, finding problems in advance, and ensuring the smooth hoisting construction.
For example, the hoisting scheme is finally determined by BIM software simulation as follows: the crane station is located main building below, adopts 200 t's tank crane, and the preparation place is located main building left side, and the hoist and mount scope of davit just can cover preparation place and mounted position to can be through the removal of track, the coverage of proper adjustment hoist and mount davit. And finally, the hoisting is smoothly carried out in place, which indicates that the hoisting position is reasonably selected, the hoisting equipment is reasonably selected, and the cost is completely within the budget.
It can be seen that, according to the project management method described in the embodiments of the present application, target data information of a target project is obtained, and a plurality of project members of the target project are obtained, BIM modeling is implemented based on the target data information, a first target project model is obtained, suggestions of the plurality of project members are obtained, a plurality of suggestions are obtained, and optimization processing is performed on the first target project model based on the plurality of suggestions, so that a second target project model is obtained.
In accordance with the foregoing, please refer to fig. 2, which is a schematic flow chart of an embodiment of another project management method according to an embodiment of the present application. The project management method described in the present embodiment may include the steps of:
201. target information of a target item is acquired, and a plurality of item members of the target item are acquired.
202. And realizing BIM modeling based on the target information to obtain a first target project model.
203. And acquiring suggestions of the project members to obtain a plurality of suggestions.
204. And screening the suggestions to obtain at least one target suggestion.
205. And extracting parameters of the at least one item of target suggestion to obtain target parameters.
206. And carrying out optimization processing on the first target item model based on the target parameters to obtain the second target item model.
The specific descriptions of the steps 201 to 206 may refer to the corresponding steps of the project management method described in fig. 1, and are not repeated herein.
It can be seen that, the project management method described in the embodiments of the present application not only can use the BIM to quickly implement modeling by using project data, but also can use suggestions of multiple project members to optimize the model, so that not only can the project implementation efficiency be improved, but also the project quality can be improved.
In accordance with the above embodiment, referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present application, as shown in the fig. 3, the electronic device includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and in the embodiment of the present application, the programs include instructions for performing the following steps:
Acquiring target information of a target item and acquiring a plurality of item members of the target item;
BIM modeling is achieved based on the target information, and a first target project model is obtained;
acquiring suggestions of the project members to obtain a plurality of suggestions;
and carrying out optimization processing on the first target project model based on the suggestions to obtain a second target project model.
It can be seen that, in the electronic device described in the embodiment of the present application, the target information of the target item is obtained, and the multiple item members of the target item are obtained, and the BIM modeling is implemented based on the target information, so as to obtain a first target item model, obtain suggestions of the multiple item members, obtain multiple suggestions, and optimize the first target item model based on the multiple suggestions, so as to obtain a second target item model, so that modeling can be implemented quickly by using the item information by means of BIM, and the model can be optimized by using the suggestions of the multiple item members, so that not only can the item implementation efficiency be improved, but also the item quality can be improved.
In one possible example, the target profile information includes a plurality of model components and preset project requirements; in the aspect of realizing BIM modeling based on the target material information to obtain a first target item model, the program comprises instructions for executing the following steps:
Arranging and combining the model components to obtain a plurality of prediction models;
screening the plurality of prediction models according to the preset project requirements to obtain at least one target prediction model;
performing model quality evaluation on each target prediction model in the at least one target prediction model to obtain at least one target evaluation value, wherein each target prediction model corresponds to one target evaluation value;
and selecting the maximum value in the at least one target evaluation value, and taking a target prediction model corresponding to the maximum value as the first target item model.
In one possible example, in said evaluating the model quality of each of said at least one target prediction model to obtain at least one target evaluation value, the program comprises instructions for:
determining evaluation values of a target prediction model i in multiple dimensions to obtain multiple evaluation values, wherein the target prediction model i is any target prediction model in the at least one target prediction model;
determining the weight corresponding to each dimension in the plurality of dimensions to obtain a plurality of weights;
and carrying out weighting operation according to the plurality of evaluation values and the plurality of weights to obtain a target evaluation value corresponding to the target preset prediction model i.
In one possible example, in optimizing the first target item model based on the plurality of suggestions to obtain a second target item model, the program includes instructions for:
screening the suggestions to obtain at least one target suggestion;
extracting parameters from the at least one item of target suggestion to obtain target parameters;
and carrying out optimization processing on the first target item model based on the target parameters to obtain the second target item model.
In one possible example, in said screening of said plurality of suggestions to obtain at least one target suggestion, said program comprises instructions for:
obtaining the evaluation of a suggestion j, and obtaining a plurality of evaluations, wherein the suggestion j is any suggestion in the plurality of suggestions;
determining the number of good scores and the number of bad scores in the plurality of evaluations;
determining a ratio between the good score number and the bad score number;
when the ratio is greater than a preset threshold, reserving the suggestion j;
and discarding the suggestion j when the ratio is smaller than or equal to the preset threshold.
The foregoing description of the embodiments of the present application has been presented primarily in terms of a method-side implementation. It will be appreciated that the electronic device, in order to achieve the above-described functions, includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied as hardware or a combination of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The embodiment of the application may divide the functional units of the electronic device according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated in one processing unit. The integrated units may be implemented in hardware or in software functional units. It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice.
In accordance with the above, the following is an apparatus for implementing the above project management method, specifically:
fig. 4 is a schematic structural diagram of an embodiment of an item management device according to an embodiment of the present application. The project management apparatus 400 described in the present embodiment, the apparatus 400 includes: a first acquisition unit 401, a modeling unit 402, a second acquisition unit 403, and an optimization unit 404, wherein,
the first obtaining unit 401 is configured to obtain target material information of a target item, and obtain a plurality of item members of the target item;
the modeling unit 402 is configured to implement BIM modeling based on the target material information, to obtain a first target project model;
The second obtaining unit 403 is configured to obtain suggestions of the plurality of project members, and obtain a plurality of suggestions;
the optimizing unit 404 is configured to perform optimization processing on the first target item model based on the multiple suggestions, so as to obtain a second target item model.
It can be seen that, according to the project management device described in the embodiments of the present application, the target information of the target project is obtained, and a plurality of project members of the target project are obtained, BIM modeling is implemented based on the target information, a first target project model is obtained, suggestions of the plurality of project members are obtained, a plurality of suggestions are obtained, and optimization processing is performed on the first target project model based on the plurality of suggestions, so that a second target project model is obtained.
In one possible example, the target profile information includes a plurality of model components and preset project requirements; in terms of implementing BIM modeling based on the target material information to obtain a first target project model, the modeling unit 402 is specifically configured to:
Arranging and combining the model components to obtain a plurality of prediction models;
screening the plurality of prediction models according to the preset project requirements to obtain at least one target prediction model;
performing model quality evaluation on each target prediction model in the at least one target prediction model to obtain at least one target evaluation value, wherein each target prediction model corresponds to one target evaluation value;
and selecting the maximum value in the at least one target evaluation value, and taking a target prediction model corresponding to the maximum value as the first target item model.
In one possible example, in the performing model quality evaluation on each of the at least one target prediction model to obtain at least one target evaluation value, the modeling unit 402 is specifically configured to:
determining evaluation values of a target prediction model i in multiple dimensions to obtain multiple evaluation values, wherein the target prediction model i is any target prediction model in the at least one target prediction model;
determining the weight corresponding to each dimension in the plurality of dimensions to obtain a plurality of weights;
and carrying out weighting operation according to the plurality of evaluation values and the plurality of weights to obtain a target evaluation value corresponding to the target preset prediction model i.
In one possible example, in the optimizing the first target item model based on the plurality of suggestions to obtain a second target item model, the optimizing unit 404 is specifically configured to:
screening the suggestions to obtain at least one target suggestion;
extracting parameters from the at least one item of target suggestion to obtain target parameters;
and carrying out optimization processing on the first target item model based on the target parameters to obtain the second target item model.
In one possible example, in the aspect of filtering the plurality of suggestions to obtain at least one target suggestion, the optimizing unit 404 is specifically configured to:
obtaining the evaluation of a suggestion j, and obtaining a plurality of evaluations, wherein the suggestion j is any suggestion in the plurality of suggestions;
determining the number of good scores and the number of bad scores in the plurality of evaluations;
determining a ratio between the good score number and the bad score number;
when the ratio is greater than a preset threshold, reserving the suggestion j;
and discarding the suggestion j when the ratio is smaller than or equal to the preset threshold.
It may be understood that the functions of each program module of the project management apparatus of the present embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the relevant description of the foregoing method embodiment, which is not repeated herein.
The embodiment of the application also provides a computer storage medium, wherein the computer storage medium can store a program, and the program can include part or all of the steps of any one of the project management methods described in the above method embodiments when executed.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer-readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any one of the methods described in the method embodiments above. The computer program product may be a software installation package, said computer comprising an electronic device.
Although the present application has been described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a review of the figures, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
It will be apparent to those skilled in the art that embodiments of the present application may be provided as a method, apparatus (device), or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. A computer program may be stored/distributed on a suitable medium supplied together with or as part of other hardware, but may also take other forms, such as via the Internet or other wired or wireless telecommunication systems.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable project management apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable project management apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable article of manufacture to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable project management apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the present application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely exemplary illustrations of the present application as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the present application. It will be apparent to those skilled in the art that various modifications and variations can be made in the present application without departing from the spirit or scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims and the equivalents thereof, the present application is intended to cover such modifications and variations.

Claims (8)

1. A method of project management, the method comprising:
acquiring target information of a target item and acquiring a plurality of item members of the target item;
BIM modeling is achieved based on the target information, and a first target project model is obtained;
acquiring suggestions of the plurality of project members to obtain a plurality of suggestions, wherein the suggestions comprise at least one of the following voices and words;
optimizing the first target project model based on the suggestions to obtain a second target project model;
the optimizing processing is performed on the first target item model based on the suggestions to obtain a second target item model, including:
screening the suggestions to obtain at least one target suggestion;
extracting parameters from the at least one item of target suggestion to obtain target parameters;
optimizing the first target project model based on the target parameters to obtain the second target project model;
wherein, the screening the plurality of suggestions to obtain at least one target suggestion includes:
obtaining the evaluation of a suggestion j, and obtaining a plurality of evaluations, wherein the suggestion j is any suggestion in the plurality of suggestions;
Determining the number of good scores and the number of bad scores in the plurality of evaluations;
determining a ratio between the good score number and the bad score number;
when the ratio is greater than a preset threshold, reserving the suggestion j;
discarding the suggestion j when the ratio is less than or equal to the preset threshold;
the aspect of obtaining the target information of the target item comprises the following steps:
acquiring target identification information of the target item;
when the target identification information exists in a preset white list, acquiring target identity information of a visitor;
verifying the target identity information;
when the target identity information passes the verification, acquiring target information of the target item;
wherein, when the target identity information is a vein image, acquiring the target identity information comprises:
image segmentation is carried out on the vein image to obtain a vein line image;
determining the area of a vein pattern area in the vein pattern image;
determining the number of first characteristic points of the vein line image;
determining the distribution density of the target feature points according to the number of the first feature points and the area of the texture area;
when the distribution density of the target characteristic points is smaller than the distribution density of the preset characteristic points, performing image enhancement processing on the vein line image to obtain an enhanced vein line image;
Matching the enhanced vein line image with a preset vein template to obtain the number of second characteristic points of the successfully matched characteristic points;
and when the ratio between the number of the second characteristic points and the number of the first characteristic points is larger than a preset matching threshold value, confirming that the target identity information is verified successfully.
2. The method of claim 1, wherein the target profile information comprises a plurality of model components and preset project requirements; the implementation of BIM modeling based on the target data information to obtain a first target project model comprises the following steps:
arranging and combining the model components to obtain a plurality of prediction models;
screening the plurality of prediction models according to the preset project requirements to obtain at least one target prediction model;
performing model quality evaluation on each target prediction model in the at least one target prediction model to obtain at least one target evaluation value, wherein each target prediction model corresponds to one target evaluation value;
and selecting the maximum value in the at least one target evaluation value, and taking a target prediction model corresponding to the maximum value as the first target item model.
3. The method according to claim 2, wherein the performing model quality evaluation on each of the at least one target prediction model to obtain at least one target evaluation value includes:
Determining evaluation values of a target prediction model i in multiple dimensions to obtain multiple evaluation values, wherein the target prediction model i is any target prediction model in the at least one target prediction model;
determining the weight corresponding to each dimension in the plurality of dimensions to obtain a plurality of weights;
and carrying out weighting operation according to the plurality of evaluation values and the plurality of weights to obtain a target evaluation value corresponding to the target prediction model i.
4. An item management apparatus, the apparatus comprising: a first acquisition unit, a modeling unit, a second acquisition unit and an optimization unit, wherein,
the first acquisition unit is used for acquiring target information of a target item and acquiring a plurality of item members of the target item;
the modeling unit is used for realizing BIM modeling based on the target data information to obtain a first target project model;
the second obtaining unit is used for obtaining suggestions of the plurality of project members to obtain a plurality of suggestions, and the suggestions comprise at least one of the following voices and words;
the optimizing unit is used for optimizing the first target project model based on the plurality of suggestions to obtain a second target project model;
The optimizing processing is performed on the first target item model based on the suggestions to obtain a second target item model, including:
screening the suggestions to obtain at least one target suggestion;
extracting parameters from the at least one item of target suggestion to obtain target parameters;
optimizing the first target project model based on the target parameters to obtain the second target project model;
wherein, the screening the plurality of suggestions to obtain at least one target suggestion includes:
obtaining the evaluation of a suggestion j, and obtaining a plurality of evaluations, wherein the suggestion j is any suggestion in the plurality of suggestions;
determining the number of good scores and the number of bad scores in the plurality of evaluations;
determining a ratio between the good score number and the bad score number;
when the ratio is greater than a preset threshold, reserving the suggestion j;
discarding the suggestion j when the ratio is less than or equal to the preset threshold;
the aspect of obtaining the target information of the target item comprises the following steps:
acquiring target identification information of the target item;
when the target identification information exists in a preset white list, acquiring target identity information of a visitor;
Verifying the target identity information;
when the target identity information passes the verification, acquiring target information of the target item;
wherein, when the target identity information is a vein image, acquiring the target identity information comprises:
image segmentation is carried out on the vein image to obtain a vein line image;
determining the area of a vein pattern area in the vein pattern image;
determining the number of first characteristic points of the vein line image;
determining the distribution density of the target feature points according to the number of the first feature points and the area of the texture area;
when the distribution density of the target characteristic points is smaller than the distribution density of the preset characteristic points, performing image enhancement processing on the vein line image to obtain an enhanced vein line image;
matching the enhanced vein line image with a preset vein template to obtain the number of second characteristic points of the successfully matched characteristic points;
and when the ratio between the number of the second characteristic points and the number of the first characteristic points is larger than a preset matching threshold value, confirming that the target identity information is verified successfully.
5. The apparatus of claim 4, wherein the target profile information comprises a plurality of model components and preset project requirements; in the aspect of realizing BIM modeling based on the target data information to obtain a first target project model, the modeling unit is specifically configured to:
Arranging and combining the model components to obtain a plurality of prediction models;
screening the plurality of prediction models according to the preset project requirements to obtain at least one target prediction model;
performing model quality evaluation on each target prediction model in the at least one target prediction model to obtain at least one target evaluation value, wherein each target prediction model corresponds to one target evaluation value;
and selecting the maximum value in the at least one target evaluation value, and taking a target prediction model corresponding to the maximum value as the first target item model.
6. The apparatus according to claim 5, wherein in said performing model quality evaluation on each of said at least one target prediction model to obtain at least one target evaluation value, said modeling unit is specifically configured to:
determining evaluation values of a target prediction model i in multiple dimensions to obtain multiple evaluation values, wherein the target prediction model i is any target prediction model in the at least one target prediction model;
determining the weight corresponding to each dimension in the plurality of dimensions to obtain a plurality of weights;
and carrying out weighting operation according to the plurality of evaluation values and the plurality of weights to obtain a target evaluation value corresponding to the target prediction model i.
7. An electronic device comprising a processor, a memory for storing one or more programs and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-3.
8. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any of claims 1-3.
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