Building project multi-specialty parallel construction reporting intelligent cooperative scheduling method

Abstract

The invention provides an intelligent collaborative scheduling method for multi-specialty parallel construction of a construction project. The method is applied to a multi-specialty parallel construction system, and a platform communicates with each specialty department in real time. The method comprises the following steps: obtaining a first task interval according to project geography, scale, type, drawing and qualification; obtaining a second interval after compliance and primary nucleation; obtaining a third interval through detailed planning of functions, structures, water, electricity and fire fighting and multi-specialty collaborative evaluation; comparing the difference between the first interval and the second interval, marking as a first cooperative interval, and checking whether the interval is overlapped; and if not, selecting departments in the third interval to perform special auditing, recording the maximum feedback quantity of each stage, comparing the maximum feedback quantity with a preset value, and judging whether the project construction is qualified or not. According to the invention, the construction reporting efficiency can be improved, the cooperative effect among professional departments is enhanced, and the accuracy and reliability of construction project construction reporting are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of building project reporting management, and more particularly, to a building project multi-specialty parallel reporting intelligent collaborative scheduling method. BACKGROUND

[0002] In the reporting process of a building project, the collaborative work of multiple professional departments is usually involved, such as architectural design, structural design, water supply and drainage design, electrical design, and fire design. These professional departments need to complete their respective tasks and interact and feedback information at different stages of the project reporting. The traditional reporting process often involves serial review and evaluation by each professional department, which results in a long project reporting cycle and low efficiency. With the development of the construction industry, the requirements for reporting efficiency and quality are becoming higher and higher, and a more efficient and intelligent collaborative scheduling method is needed to optimize the multi-specialty parallel reporting process.

[0003] The existing building project reporting system mainly relies on manual task allocation and review feedback recording, which is prone to problems such as delayed information transmission and unreasonable task allocation. For example, during the preliminary review stage of the project reporting, if it is found that the planning drawings or design documents contain non-compliant parts, manual adjustment of the task allocation weight of each professional department is required, which not only consumes time and effort but also may result in inaccurate task allocation. In addition, during the detailed planning stage, an effective platform is needed for information sharing and weight adjustment among the professional departments, otherwise, it may lead to inconsistent opinions among the professional departments, resulting in a blocked project reporting progress.

[0004] Specifically, the existing technology at least has the following problems or defects: first, the task allocation is not intelligent enough to dynamically adjust the task allocation interval of each professional department according to the actual situation of the project; second, the information transmission and feedback are not timely enough, and the collaborative efficiency among the professional departments is low; third, there is a lack of effective early warning mechanism to timely discover potential problems in the project reporting process and handle them. SUMMARY

[0005] The present application provides a building project multi-specialty parallel reporting intelligent collaborative scheduling method, which is applied to a building project multi-specialty parallel reporting system comprising multiple professional departments and an intelligent scheduling platform, each of the professional departments is in communication connection with the intelligent scheduling platform, and the method comprises: obtaining a first task allocation interval of each professional department based on initial reporting information of the building project, the initial reporting information comprising the geographical location, size, project type, planning drawings, design documents, and related qualifications of the project; performing preliminary auditing on the building project, and obtaining a second task allocation interval of each professional department based on a preliminary auditing result, the preliminary auditing including compliance checking on planning drawings, design documents and related qualifications; performing detailed planning on the building project after the preliminary auditing, and performing multi-professional collaborative evaluation on the building project after the detailed planning to obtain a third task allocation interval, the detailed planning including refinement of functional layout, structural design, water supply and drainage design, electrical design and fire-fighting design of the building project; comparing the first task allocation interval with the second task allocation interval, if there is a difference, marking the difference part as a first collaborative task interval, and judging whether there is an overlapping interval between the third task allocation interval and the first collaborative task interval; if there is no overlapping interval, selecting at least one professional department in the third task allocation interval to perform special auditing on the building project after the detailed planning, and recording the maximum number of auditing feedback information of the building project after the detailed planning in each professional department auditing stage; comparing the maximum number with a preset number, and judging whether the building project meets the requirements for reporting based on the comparison result.

[0006] Further, the first task allocation interval of each professional department based on the initial reporting information of the building project includes: classifying and identifying the initial reporting information based on the geographical location, size and project type of the building project, judging the professional category to which the building project belongs; if the professional category to which the building project belongs contains multiple professional departments, the building project is distributed to each professional department according to a preset weight ratio, and the first task allocation interval of each professional department is obtained, the weight ratio is set according to the importance and workload of each professional department in the building project.

[0007] Further, the preliminary auditing on the building project, and obtaining a second task allocation interval of each professional department based on a preliminary auditing result includes: performing preliminary auditing on the planning drawings, design documents and related qualifications of the building project through the intelligent scheduling platform to obtain a preliminary auditing result; reclassifying the building project based on the preliminary auditing result, if the preliminary auditing result shows that the building project has a part that does not meet the requirements, adjusting the weight ratio corresponding to the part that does not meet the requirements to obtain the second task allocation interval of each professional department.

[0008] Further, the preliminary reviewed building project is subjected to detailed planning, and the detailed planned building project is subjected to multi-specialty collaborative evaluation to obtain a third task allocation interval, including: sending the preliminary reviewed building project into a detailed planning module, and planning the building project according to preset planning standards to obtain a detailed planned building project; based on the detailed planned building project, organizing each professional department to perform multi-specialty collaborative evaluation through the intelligent scheduling platform, and adjusting the weight of the building project according to the evaluation opinions of each professional department to obtain a third task allocation interval.

[0009] Further, if the third task allocation interval overlaps with the first collaborative task interval, the building project is identified as not meeting the requirements for reporting construction, and the building project that does not meet the requirements for reporting construction is rejected.

[0010] Further, the selected at least one professional department in the third task allocation interval performs special review on the detailed planned building project, and records the maximum number of review feedback information of the detailed planned building project in each professional department review stage, including: selecting at least one professional department in the weight range of the third task allocation interval based on the weight proportion of the third task allocation interval; controlling the professional department to perform special review on the detailed planned building project according to the preset review process, and recording the maximum number of review feedback information of the detailed planned building project in each professional department review stage.

[0011] Further, the maximum number is compared with a preset number, and whether the building project meets the requirements for reporting construction is judged based on the comparison result, including: if the maximum number of review feedback information in each professional department review stage is greater than the preset number, it is identified that the building project meets the requirements for reporting construction; if the maximum number of review feedback information in any professional department review stage is less than or equal to the preset number, it is identified that the building project does not meet the requirements for reporting construction, and the building project that does not meet the requirements for reporting construction is rejected.

[0012] Further, the intelligent scheduling platform comprises a data storage module, a task allocation module and an audit feedback module, the data storage module is used for storing initial reporting information of a building project, preliminary audit results, detailed planning results and audit feedback information of each professional department, the task allocation module is used for allocating tasks to each professional department according to the initial reporting information of the building project, the preliminary audit results and the detailed planning results, and the audit feedback module is used for recording the maximum number of audit feedback information of the building project in each professional department audit stage.

[0013] Further, the audit feedback module further comprises a data statistical unit, the data statistical unit is used for statistically analyzing the maximum number of the audit feedback information and generating a statistical report, and the statistical report comprises the number of audit feedback information, the audit pass rate and the audit duration of each professional department.

[0014] Further, the intelligent scheduling platform further comprises a pre-warning prompt module, the pre-warning prompt module is used for pre-warning the building project that does not meet the reporting requirements according to the comparison result of the maximum number of the audit feedback information and a preset number, and sending pre-warning prompt information to relevant professional departments and the building project person in charge.

[0015] The above-mentioned embodiments according to the present application have at least the following beneficial effects: 1. By obtaining the first task allocation interval of each professional department based on the initial reporting information of the building project, and dynamically adjusting the task allocation interval combined with the preliminary audit results, the present application can flexibly allocate tasks according to the specific characteristics and audit conditions of the project, avoiding the problems of task imbalance and resource waste that may occur in the traditional fixed task allocation mode, and improving the work efficiency and resource utilization rate of each professional department.

[0016] 2. In the detailed planning stage, the present application organizes each professional department to perform multi-professional collaborative evaluation, and adjusts the weight of the building project according to the evaluation opinions to obtain the third task allocation interval. This collaborative evaluation mechanism can effectively integrate the opinions of each professional department, ensure the comprehensiveness and scientificity of the project planning, avoid planning conflicts and repeated work caused by information asymmetry between each professional department, and improve the overall planning quality and collaborative efficiency of the project.

[0017] 3. The present application records the maximum number of audit feedback information of the building project after detailed planning in each professional department audit stage, and compares it with a preset number, which can accurately judge whether the building project meets the reporting requirements. This data-based judgment method avoids the subjectivity and uncertainty of manual judgment, improves the accuracy and fairness of the reporting audit, and at the same time, the pre-warning prompt module can timely discover the project that does not meet the reporting requirements and pre-warn, which helps to take measures to solve the problem in advance and ensures the smooth progress of the project reporting. Attached Figure Description

[0018] The above and other objects, features, and advantages of exemplary embodiments of the present invention will become readily apparent from the following detailed description taken in conjunction with the accompanying drawings. Several embodiments of the invention are illustrated in the drawings by way of example and not limitation, wherein: Figure 1 This is a flowchart illustrating an intelligent collaborative scheduling method for multi-disciplinary parallel application for construction projects, provided in an embodiment of the present invention. Detailed Implementation

[0019] The technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0020] In traditional building project application systems, task allocation among multiple professional departments relies on static weight ratios, making it impossible to dynamically adjust task ranges based on actual project review results. This leads to a mismatch between task allocation and project requirements. When non-compliance is discovered in planning drawings or design documents during the preliminary review stage, manual adjustments to task weights are delayed and cannot be corrected in real time. The lack of a dynamic weight adjustment mechanism in the multi-professional collaborative evaluation after detailed planning makes it difficult to effectively identify discrepancies between task allocation ranges and review results. Furthermore, it is difficult to accurately match the capabilities of professional departments with task requirements during specialized review stages, and the comparison of the number of review feedback messages with preset standards is susceptible to human intervention errors.

[0021] For example, during the application process for a large commercial complex project, the initial task allocation was based on the building's scale and type, assigning a 35% weight to the structural design department and a 25% weight to the electrical design department. Preliminary review revealed insufficient width of evacuation routes in the fire protection design, necessitating an increase in the fire protection design department's task weight. However, the traditional system could not automatically generate a second task allocation interval, leading to a backlog of fire protection design review tasks. During the detailed planning stage, pipeline conflicts arose between structural and water supply / drainage designs. The lack of a dynamic weight adjustment mechanism during multi-departmental collaborative assessment resulted in the original structural design weight remaining in the third task allocation interval. This forced the structural design department to handle tasks beyond its actual capacity during the specialized review stage, leading to omissions in the statistical analysis of review feedback and ultimately, biases in compliance judgments.

[0022] If the above problems are not solved, the building project reporting system will have a long-term technical defect of mismatch between task allocation and audit demand, leading to resource mismatch in key audit links. The lack of multi-specialty collaborative evaluation mechanism will exacerbate the complexity of task interval difference identification, and the department selection bias in the special audit stage may cause systematic audit loopholes. The cumulative effect of statistical error of audit feedback information will reduce the reliability of reporting compliance judgment, and ultimately affect the integrity and legal effectiveness of the building project approval process.

[0023] As shown in Figure 1 The present application proposes a building project multi-specialty parallel reporting intelligent collaborative scheduling method, which is applied to a building project multi-specialty parallel reporting system including multiple professional departments and an intelligent scheduling platform. Each professional department is in communication connection with the intelligent scheduling platform. The method comprises: S1, obtaining a first task allocation interval of each professional department based on initial reporting information of the building project, wherein the initial reporting information includes the geographical location, size, project type, planning drawings, design documents and related qualifications of the project; S2, performing preliminary audit on the building project, and obtaining a second task allocation interval of each professional department based on the preliminary audit result, wherein the preliminary audit includes compliance check on the planning drawings, design documents and related qualifications; S3, performing detailed planning on the building project after preliminary audit, and performing multi-specialty collaborative evaluation on the building project after detailed planning to obtain a third task allocation interval, wherein the detailed planning includes refinement of the functional layout, structural design, water supply and drainage design, electrical design and fire protection design of the building project; S4, comparing the first task allocation interval with the second task allocation interval, if there is a difference, marking the difference part as a first collaborative task interval, and judging whether there is an overlapping interval between the third task allocation interval and the first collaborative task interval; S5, if there is no overlapping interval, selecting at least one professional department in the third task allocation interval to perform special audit on the building project after detailed planning, and recording the maximum number of audit feedback information of the building project after detailed planning in each professional department audit stage; S6, comparing the maximum number with a preset number, and judging whether the building project meets the reporting requirements based on the comparison result.

[0024] In implementation, the building project multi-specialty parallel reporting intelligent collaborative scheduling method is applied to a building project multi-specialty parallel reporting system including multiple professional departments and an intelligent scheduling platform. Each professional department is in communication connection with the intelligent scheduling platform to realize information interaction.

[0025] First, based on the initial application information of the construction project, the first task allocation interval of each professional department is obtained. The initial application information includes the geographic location, size, project type, planning drawings, design documents, and relevant qualifications of the project. By analyzing these information, the system can preliminarily determine the work scope of each professional department.

[0026] Secondly, the construction project is preliminarily audited, and the second task allocation interval of each professional department is obtained based on the preliminary audit results. Preliminary audit includes compliance check of planning drawings, design documents and relevant qualifications. This step can find potential problems and adjust task allocation accordingly.

[0027] Then, the construction project after preliminary audit is detailed planning, and the third task allocation interval is obtained through multi-professional collaborative evaluation of the construction project after detailed planning. Detailed planning includes the refinement of functional layout, structural design, water supply and drainage design, electrical design and fire protection design of the construction project. Multi-professional collaborative evaluation can fully consider various factors.

[0028] Next, the first task allocation interval and the second task allocation interval are compared. If there is a difference, the difference part is marked as the first collaborative task interval, and it is judged whether there is an overlapping interval between the third task allocation interval and the first collaborative task interval. This step aims to identify changes and potential conflicts in task allocation.

[0029] If there is no overlapping interval, at least one professional department in the third task allocation interval is selected to conduct a special audit on the construction project after detailed planning, and the maximum number of audit feedback information of the construction project after detailed planning in each professional department audit stage is recorded. This ensures the pertinence and comprehensiveness of the audit.

[0030] Finally, the maximum number is compared with the preset number, and based on the comparison result, it is judged whether the construction project meets the application requirements. This step provides an objective evaluation standard, which helps to make an accurate compliance judgment.

[0031] The initial report information refers to the basic data submitted by the building project in the initial reporting stage, including geographic location, size, project type, planning drawings, design documents and related qualifications, which can be obtained through data collection system or manual input, and is used to determine the initial task allocation range of each professional department, solving the low efficiency problem caused by the dependence on manual judgment in traditional method. The first task allocation interval refers to the initial task range divided for each professional department according to the initial report information, which can be allocated to the corresponding department according to the preset weight proportion algorithm, solving the problem of unreasonable task allocation and lack of dynamic adjustment in traditional process. Preliminary review refers to the process of checking the compliance of planning drawings, design documents and related qualifications, which can automatically identify key indicators in the file and compare with preset standards through intelligent scheduling platform, solving the problems of low efficiency and easy error in manual review. The second task allocation interval refers to the task allocation range adjusted based on the preliminary review result, which can be realized by reclassifying the building project and dynamically adjusting the weight proportion, solving the problem that the task allocation in traditional method cannot be dynamically optimized according to the review result. Detailed planning refers to the process of refining the functional layout, structural design, water supply and drainage design, electrical design and fire protection design of the building project, which can generate detailed design scheme through preset planning standard module, solving the problem of lack of unified standard in multi-specialty collaborative planning.

[0032] Multi-specialty collaborative evaluation refers to the joint evaluation of the building project after detailed planning by organizing various professional departments, which can summarize the evaluation opinions of each department and generate a weight adjustment scheme through intelligent scheduling platform, solving the problem of low collaborative efficiency caused by information silos between departments in traditional process. The first collaborative task interval refers to the difference between the first task allocation interval and the second task allocation interval, which can be automatically marked through data difference analysis algorithm, solving the problem of lag caused by the dependence on manual recognition in traditional method. The third task allocation interval refers to the final task allocation range determined after multi-specialty collaborative evaluation, which can dynamically adjust the weight proportion by integrating the evaluation opinions of each professional department, solving the problem of disconnection between task allocation and actual situation.

[0033] Special review refers to the targeted review of the building project after detailed planning by selected specific professional departments, which can automatically allocate review tasks according to the weight proportion through intelligent scheduling platform, solving the problem of uneven allocation of review resources in traditional process. The maximum number of review feedback information refers to the upper limit of the number of feedback information generated by each professional department in the review stage, which can be compared with the preset threshold and real-time data statistics, solving the problem of unobjective review result caused by lack of quantitative indicators in traditional method.

[0034] In some embodiments, during the project submission process of a certain large commercial complex project, the intelligent scheduling platform first receives the initial project submission information. The information includes that the project is located in the city center, with a total building area of 100,000 square meters, containing commercial, office and residential functions, as well as the corresponding planning drawings, design documents and developer qualifications.

[0035] Based on this information, the system automatically generates the first task allocation interval. For example, the building design department accounts for 35%, the structural design department accounts for 25%, the water supply and drainage design department accounts for 15%, the electrical design department accounts for 15%, and the fire safety design department accounts for 10%.

[0036] Subsequently, the intelligent scheduling platform conducts a preliminary review of the project. The review finds that the evacuation passage width in the fire safety design is insufficient and does not meet the regulatory requirements. Based on this result, the system automatically adjusts the task allocation and generates the second task allocation interval. The weight of the fire safety design department is increased to 20%, and the weights of other departments are correspondingly reduced.

[0037] Next, the project enters the detailed planning stage. The professional departments conduct in-depth design of the project, including optimization of the functional layout of the commercial area, structural design of the office building, overall water supply and drainage system planning, intelligent electrical design, and improved fire safety design. After completion, the system organizes multi-disciplinary collaborative evaluation and generates the third task allocation interval.

[0038] The system compares the first and second task allocation intervals and finds that there are significant differences in the fire safety design section, which is marked as the first collaborative task interval. Subsequently, it is determined whether the third task allocation interval coincides with the first collaborative task interval, and the result shows that there is no coincidence.

[0039] Based on the third task allocation interval, the system selects the fire safety design department for special review. During the review process, the system records the number of feedback information at each review stage. For example, in the five stages of fire safety design review, 10, 8, 12, 7, and 9 feedback information are recorded respectively, with the maximum number being 12.

[0040] Finally, the system compares this maximum number 12 with a preset standard number, such as 10. Since 12 is greater than 10, the system determines that the project meets the submission requirements in terms of fire safety design. Other professional departments are also reviewed and judged according to a similar process.

[0041] The present application further proposes to classify and identify the initial project submission information based on the geographical location, size and type of the building project, determine the professional category to which the building project belongs, and if the professional category of the building project contains multiple professional departments, allocate the building project to each professional department according to a preset weight ratio to obtain the first task allocation interval of each professional department. The weight ratio is set according to the importance and workload of each professional department in the building project.

[0042] In the classification and identification process, the geographical location determines the construction specification requirements of the area to which the building project belongs, the size affects the workload allocation benchmark of each professional department, and the project type corresponds to the technical review focus of different professional departments. The setting of weight proportion is based on historical audit data of each professional department, project complexity evaluation results and department resource allocation. For example, for a high-rise commercial complex project, the weight proportion of the structure design department is set to 30%, the fire design department is 25%, the electrical design department is 20%, the water supply and drainage design department is 15%, and the rest of the departments is 10%.

[0043] In some embodiments, the geographical location data is input to the geographic information analysis module of the intelligent scheduling platform, and the corresponding professional category list is generated by matching the construction standards in the regional planning database. The size is calculated by the building area, floor height and volume rate parameters, and is converted into the basic workload index of each professional department. The project type is determined by the range of professional departments involved through natural language processing technology to analyze the keywords in the design document. The weight proportion is dynamically adjusted by a preset algorithm model, which integrates the historical task processing efficiency of each professional department, the current task load state and the project technical difficulty coefficient. For example, when the current task load of the structure design department exceeds the threshold, its weight proportion is automatically reduced by 5%, and the reduced part is distributed to other related departments according to the priority. In this way, the generation process of the first task allocation interval realizes multi-dimensional data fusion and dynamic weight adaptation, avoids subjective errors of manual allocation, and improves the matching accuracy of task allocation and project actual demand.

[0044] In some embodiments, when the first task allocation interval of each professional department is obtained based on the initial application information of the building project, the geographical location, size and project type of the building project are first classified and identified. For example, for a commercial complex project located in the city center with a land area of 10000 square meters, the system will identify it as a large commercial building category.

[0045] Further, the system determines the professional categories to which the building project belongs. Since a commercial complex project involves multiple professional fields, including architectural design, structural design, water supply and drainage design, electrical design and fire design, etc., the system determines that multiple professional departments are needed to participate in the project.

[0046] In some embodiments, the system allocates the building project to each professional department according to the preset weight proportion. The weight proportion is set based on the importance and workload of each professional department in the building project. For example, the weight of the architectural design department is 30%, the weight of the structure design department is 25%, the weight of the water supply and drainage design department is 15%, the weight of the electrical design department is 15%, and the weight of the fire design department is 15%.

[0047] Thus, the system calculates the first task allocation interval of each professional department according to the weight proportions. The task allocation interval of the architectural design department is 0-30%, that of the structural design department is 30%-55%, that of the water supply and drainage design department is 55%-70%, that of the electrical design department is 70%-85%, and that of the fire protection design department is 85%-100%.

[0048] The application further proposes preliminary auditing of the architectural project and obtaining the second task allocation interval of each professional department based on the preliminary auditing result, including: performing preliminary auditing on the planning drawings, design files and related qualifications of the architectural project through the intelligent scheduling platform to obtain the preliminary auditing result; reclassifying the architectural project based on the preliminary auditing result, if the preliminary auditing result indicates that the architectural project has a part that does not meet the requirements, adjusting the weight proportion corresponding to the part that does not meet the requirements to obtain the second task allocation interval of each professional department.

[0049] Among them, the preliminary auditing automatically performs compliance checking through the intelligent scheduling platform to identify specific problems such as missing fire access in planning drawings or calculation errors of structural load in design files; the reclassification classifies the architectural project into the task category dominated by the corresponding professional department based on the problem type and severity in the preliminary auditing result; the weight proportion adjustment dynamically modifies through a preset algorithm, for example, the fire design problem causes the weight of the fire department to increase, and the structural design problem causes the weight of the structural department to increase, and the adjusted weight proportion directly affects the generation of the second task allocation interval.

[0050] In some embodiments, the intelligent scheduling platform automatically extracts the fire access layout data in the planning drawings in the preliminary auditing stage and compares it with the fire specification database, and if a missing part is found, it is marked as a part that does not meet the requirements; for this part, the platform calls the weight adjustment rule library to increase the weight proportion of the fire department from the initial 15% to 25%, while reducing the weight of other departments with lower correlation; the adjusted weight proportion is input into the task allocation module to generate the second task allocation interval, ensuring that the subsequent auditing resources are tilted towards the professional department involved in the problem. Through the combination of automatic auditing and dynamic weight adjustment, the delay and error of manual intervention are avoided, and the matching degree of the task allocation interval and the actual demand of the project is improved.

[0051] In some embodiments, the intelligent scheduling platform performs preliminary auditing on the planning drawings, design files and related qualifications of the architectural project to obtain the preliminary auditing result. During the preliminary auditing process, the intelligent scheduling platform uses machine learning algorithms to perform image recognition and analysis on the planning drawings to check whether the drawings meet the specification requirements. At the same time, natural language processing technology is used to audit the content of the design files to ensure the integrity and consistency of the file content. For related qualifications, the system verifies their authenticity and validity through database comparison.

[0052] Based on the preliminary audit results, the building project is reclassified. The intelligent scheduling platform divides the building project into different categories according to the types and severity of the problems found in the audit results, such as qualified, minor problems, major problems, etc.

[0053] If the preliminary audit results show that the building project has non-compliant parts, the weight proportion corresponding to the non-compliant parts is adjusted to obtain the second task allocation interval of each professional department. In some embodiments, the system increases the weight proportion of the corresponding professional department according to the professional type of the non-compliant part, while appropriately reducing the weight proportion of other professional departments. For example, if problems are found in building design, the weight proportion of the building design department is increased, and the weight proportions of other departments are correspondingly reduced. The adjusted weight proportions constitute the second task allocation interval, which is used for subsequent task allocation and resource scheduling.

[0054] The application further proposes detailed planning of the building project after preliminary audit, and multi-professional collaborative evaluation of the building project after detailed planning to obtain the third task allocation interval.

[0055] Among them, the detailed planning module refines the functional layout, structural design, water supply and drainage design, electrical design, and fire protection design of the building project according to the preset planning standards. The intelligent scheduling platform organizes each professional department to conduct multi-professional collaborative evaluation on the building project after detailed planning, and each professional department puts forward evaluation opinions according to the refined design content. Weight adjustment is based on the evaluation opinions of each professional department, for example, when the structural design department proposes modification suggestions for the load-bearing scheme, the weight proportion of the structural design is increased by 5%-10%. The generation of the third task allocation interval needs to satisfy the comprehensive balance of the evaluation opinions of each professional department, when more than 70% of the professional departments agree on a certain weight adjustment, the adjustment result is automatically adopted.

[0056] In some embodiments, the building project after preliminary audit is sent to the detailed planning module, the refinement of the functional layout needs to comply with the space division standard in the national building specification GB50096-2011, and the beam-column arrangement of the structural design needs to meet the seismic grade requirement. In the multi-professional collaborative evaluation process, the water supply and drainage department needs to check whether the pipeline arrangement conflicts with the electrical wiring, and the fire department needs to verify whether the width of the escape passage meets the fire specification. The intelligent scheduling platform converts the evaluation opinions of each professional department into weight adjustment parameters, when the electrical design department puts forward the evaluation opinion of insufficient line load, the weight proportion of electrical design is increased by 8%, while the weight proportion of water supply and drainage design is reduced by 3%. The third task allocation interval is generated through a dynamic adjustment algorithm, which limits the weight proportion change of each professional department within ±15%, ensuring that the task allocation will not fluctuate greatly.

[0057] In some embodiments, the building project after the preliminary review is sent to a detailed planning module to perform detailed planning on the building project according to preset planning standards, and a building project after detailed planning is obtained. In some embodiments, the detailed planning module includes a functional layout submodule, a structural design submodule, a water supply and drainage design submodule, an electrical design submodule, and a fire-fighting design submodule. Each submodule performs detailed design on the building project according to the corresponding planning standard. For example, the functional layout submodule designs the layout of each functional area according to the purpose and scale of the building; the structural design submodule designs the load-bearing structure of the building according to the height and load requirements of the building; the water supply and drainage design submodule designs the water supply and drainage system according to the water demand and drainage requirements of the building; the electrical design submodule designs the power supply and distribution system according to the power load of the building; and the fire-fighting design submodule designs the fire-fighting facilities and evacuation passages according to the fire rating of the building.

[0058] Based on the building project after detailed planning, the intelligent scheduling platform organizes multi-professional collaborative evaluation by various professional departments. The intelligent scheduling platform sends evaluation tasks to various professional departments, and each professional department completes the evaluation within a specified time and submits evaluation opinions. The evaluation opinions include scores and specific suggestions for various aspects of the building project. The intelligent scheduling platform collects the evaluation opinions of various professional departments and performs comprehensive analysis.

[0059] According to the evaluation opinions of various professional departments, the weight of the building project is adjusted, and a third task allocation interval is obtained. In some embodiments, the intelligent scheduling platform calculates the importance weight of each professional department in the building project according to the scores of each professional department. For example, if the score of the structural design department is low, indicating that the building project has major problems in the structure, the weight of the structural design department in the third task allocation interval is increased. Conversely, if the score of a professional department is high, the weight of the department in the third task allocation interval is appropriately reduced.

[0060] The present application further proposes that if the third task allocation interval overlaps with the first collaborative task interval, the building project is identified as not meeting the requirements for reporting, and the building project that does not meet the reporting requirements is rejected.

[0061] The judgment of the overlapping interval is realized by the intelligent scheduling platform automatically comparing the weight ranges of the task allocation intervals. When the weight ranges of the two intervals have an intersection, it is considered to have an overlap. For example, if the weight range of the structural design in the third task allocation interval is 30% to 40%, and the weight range of the fire-fighting design in the first collaborative task interval is 35% to 45%, the intersection 35% to 40% is marked as an overlapping interval. The rejection process generates a rejection notice automatically through the system and sends it to the relevant professional departments. The notice must include specific overlapping interval data and adjustment suggestions.

[0062] In some embodiments, in the multi-professional collaborative evaluation after detailed planning, each professional department submits evaluation opinions based on the refined design content, and the intelligent scheduling platform generates a third task allocation interval based on the evaluation opinions. When there is an overlap between this interval and the first collaborative task interval marked in the preliminary review stage, it indicates that there is an uncoordinated conflict in the allocation of key tasks. For example, in the allocation of tasks between water supply and drainage design and electrical design, if both need to occupy 15% to 20% of the weight in the third task allocation interval, and the first collaborative task interval has marked a 10% to 18% conflict range for electrical design, the system identifies the 15% to 18% overlap through interval comparison algorithm, and immediately triggers the automatic rejection mechanism. This mechanism calls the pre-set rejection template through the data interface, pushes the rejection report containing the conflict weight value to the project management end, and freezes the project in the task allocation module.

[0063] In some embodiments, if the third task allocation interval overlaps with the first collaborative task interval, the building project is identified as not meeting the requirements for reporting and is rejected. In some embodiments, the intelligent scheduling platform first compares the third task allocation interval with the first collaborative task interval. During the comparison process, the system uses data analysis algorithms to detect whether there is an intersection between the two intervals. If an intersection is detected, it indicates that there is a problem inconsistent with the preliminary review stage in the detailed planning and multi-professional collaborative evaluation stage. This inconsistency may be due to changes in planning standards, differences in professional department evaluation opinions, or deviations in preliminary review results. As a result, the system automatically marks the building project as not meeting the reporting requirements. Further, the intelligent scheduling platform triggers the rejection processing flow, including generating a rejection notice, suspending the subsequent processing of the project in the system, updating the project status to rejected, and feeding back the rejection reason and related information to the project applicant and relevant professional departments through the pre-set communication channel.

[0064] The present application further proposes selecting at least one professional department within its weight range based on the weight proportion of the third task allocation interval; controlling the professional department to perform special audits on the building project after detailed planning according to the pre-set audit process, and recording the maximum number of audit feedback information of the building project after detailed planning in each professional department audit stage.

[0065] The determination of the weight range is achieved by a preset threshold interval. For example, when the weight proportion of a certain professional department in the third task allocation interval exceeds 15%, it is automatically included in the selected range. The preset review process includes three sequentially executed sub-steps: file format verification, technical specification comparison, and conflict item marking. Each sub-step is configured with an independent data interface and review feedback channel. The maximum number of review feedback information is counted in real time using a real-time counter. The counter is initialized when the review process starts, and the current count value is automatically intercepted and stored at the end of each review stage.

[0066] In some embodiments, when selecting a professional department, the system matches the weight data of all departments in the third task allocation interval with the preset weight threshold interval, and selects a department set whose weight proportion meets the requirements. For example, when the weight threshold is set to 10%-25%, the system only allows the structural design department and the electrical design department whose weights are in this interval to enter the selected list. Then, the system sends a standardized review instruction to the selected department, which requires the department to perform the review operation in the fixed order of file format verification, technical specification comparison, and conflict item marking. In the file format verification stage, the system automatically identifies the version compatibility and integrity of the drawing file and generates a format verification report. In the technical specification comparison stage, the system calls the compliance cases in the historical project database for difference analysis. In the conflict item marking stage, the detected conflict coordinate information is associated and stored with the design file. The feedback information generated in each stage is transmitted to the counter in real time through an independent channel. The counter records the peak value of feedback entries generated by each department in a single review cycle with millisecond-level precision. For example, the structural design department may generate 50 feedback information in the conflict item marking stage, while the electrical design department may generate only 20 in the same stage. The system will record the maximum values of these two departments in this stage, respectively. Through the combination of standardized process and real-time counting mechanism, the system effectively avoids data omission or statistical bias caused by manual intervention, and provides an accurate data basis for subsequent building application requirement determination. In some embodiments, at least one professional department within the weight range of the third task allocation interval is selected based on the weight proportion of the third task allocation interval. For example, in a multi-professional parallel building application system of a building project, the third task allocation interval includes a building design department with a weight of 30%, a structural design department with a weight of 25%, a water supply and drainage design department with a weight of 15%, an electrical design department with a weight of 15%, and a fire design department with a weight of 15%. The intelligent scheduling platform selects the building design department and the structural design department as the main departments for special review based on these weight proportions.

[0067] The control professional department carries out special review on the detailed planning building project according to the preset review process. In some embodiments, the intelligent scheduling platform sends the review task to the selected professional department and provides the detailed planning building project related files. Each professional department carries out review on the project according to the preset review process. The review process includes steps such as drawing examination, technical specification checking, safety evaluation, etc.

[0068] The maximum number of review feedback information of the detailed planning building project in each professional department review stage is recorded. Further, the intelligent scheduling platform monitors the review process of each professional department in real time and records the review feedback information generated in each review stage. Thus, the system can obtain the number of review feedback information generated by each professional department in each review stage and determine the maximum value. For example, the architectural design department generates 15 pieces of feedback information in the drawing examination stage and 8 pieces of feedback information in the technical specification checking stage, so the maximum number of review feedback information of this department is 15.

[0069] The application further proposes to compare the maximum number with a preset number and determine whether the building project meets the requirements for reporting construction based on the comparison result, including: if the maximum number of review feedback information in each professional department review stage is greater than the preset number, it is determined that the building project meets the requirements for reporting construction; if the maximum number of review feedback information in any professional department review stage is less than or equal to the preset number, it is determined that the building project does not meet the requirements for reporting construction, and the building project that does not meet the requirements for reporting construction is rejected.

[0070] The preset number is set as a fixed threshold, which is determined according to the average feedback information amount of qualified projects in historical project review data. The maximum number of review feedback information is obtained by counting the number of opinion items generated by each professional department in the special review stage, for example, the structural design department proposes 8 pieces of modification opinions in the review stage, so the maximum number is recorded as 8. The rejection processing includes generating a list of rejection reasons, which is automatically associated with the early warning prompt module of the intelligent scheduling platform and triggers information push to the project leader port.

[0071] In some embodiments, after the end of the special review stage, the data storage module extracts the number of feedback information items in the review records of each professional department, and the task allocation module compares the maximum value of the number of items with a preset threshold value. When the maximum value of the feedback information of all departments exceeds the threshold value, it indicates that the requirements of each professional review have been fully met, and the review feedback module generates a pass instruction; when the maximum value of the feedback information of any department does not reach the threshold value, it indicates that the audit depth of that department is insufficient or there are potential problems, and the review feedback module automatically triggers the rejection process and freezes the project status. For example, if the preset number is 5, if the electrical design department only feeds back 3 review opinions, regardless of the number of opinions from other departments, the system directly terminates the building process and generates a rejection report. This mechanism forces all professional departments to meet the minimum audit depth standard, thereby eliminating subjective errors in manual judgment.

[0072] In some embodiments, in the intelligent collaborative scheduling method for multi-professional parallel building of a building project, the step of comparing the maximum number with the preset number and determining whether the building project meets the building requirements based on the comparison result specifically includes: First, the review feedback module of the intelligent scheduling platform records the maximum number of review feedback information of the building project after detailed planning in each professional department review stage. For example, for a large commercial complex project, the number of review feedback information in the review stages of the architectural design, structural design, water supply and drainage design, electrical design, and fire safety design departments is recorded respectively.

[0073] Second, compare the recorded maximum number with the system preset number. The preset number can be set according to the type, size, and complexity of the project. For example, for the large commercial complex project described above, the preset number can be set to 20.

[0074] Further, determine whether the building project meets the building requirements based on the comparison result. In some embodiments, if the maximum number of review feedback information in each professional department review stage is greater than the preset number, it is determined that the building project meets the building requirements. For example, if the number of review feedback information in the architectural design department is 25, in the structural design department it is 22, in the water supply and drainage design department it is 23, in the electrical design department it is 21, and in the fire safety design department it is 24, all of which are greater than the preset 20, it is determined that the large commercial complex project meets the building requirements.

[0075] On the contrary, if the maximum number of review feedback information in any professional department review stage is less than or equal to the preset number, it is determined that the building project does not meet the building requirements. For example, if the number of review feedback information in the electrical design department is only 18, which is less than the preset 20, it is determined that the project does not meet the building requirements.

[0076] For the building project that does not meet the requirements of the report, the system will automatically be rejected. The rejection process includes generating a rejection notice and sending the notice to the relevant professional departments and project managers, requiring modification and improvement of the non-compliant parts.

[0077] The application further proposes an intelligent scheduling platform including a data storage module, a task allocation module, and an audit feedback module. The data storage module is used to store the initial report information of the building project, the preliminary audit result, the detailed planning result, and the audit feedback information of each professional department. The task allocation module is used to allocate tasks to each professional department according to the initial report information of the building project, the preliminary audit result, and the detailed planning result. The audit feedback module is used to record the maximum number of audit feedback information of the building project in each professional department audit stage.

[0078] Among them, the data storage module adopts a distributed database architecture, supports the classification storage and fast retrieval of multiple types of data, the task allocation module has a built-in dynamic weight algorithm, automatically generates a task allocation scheme according to the preset rules, the audit feedback module integrates a data acquisition interface, captures the audit feedback information of each professional department in real time and records the maximum number. The data storage module and the task allocation module realize bidirectional communication through a data bus, the task allocation result output by the task allocation module is fed back to the data storage module to update the storage, the data acquisition interface of the audit feedback module is directly connected with the audit terminals of each professional department, ensuring real-time synchronization of the feedback information. The audit feedback module further includes a data statistics unit, which uses a time series analysis method to generate a statistical report containing the number of audit feedback information, the audit pass rate, and the audit duration according to a preset period, and a warning prompt module establishes a threshold triggering mechanism based on the statistical report data, and generates a warning signal automatically when the maximum number of audit feedback information is lower than the preset threshold.

[0079] In some embodiments, the data storage module establishes a project data archive after receiving the initial report information, the task allocation module calls the geographic location, size and project type parameters in the data archive, and generates a first task allocation interval through a dynamic weight algorithm. After the compliance check results generated in the preliminary review stage are stored in the data storage module, the task allocation module generates a second task allocation interval according to the updated weight proportion. The multi-specialty collaborative evaluation data in the detailed planning stage are synchronized to the task allocation module through the data storage module, triggering the generation of a third task allocation interval. The review feedback module acquires the feedback information submitted by the review terminals of each professional department in real time through the acquisition interface, and uses a sliding window algorithm to count the maximum number of feedbacks in a preset time period. When the data statistics unit detects that the maximum number of review feedback information of any professional department is lower than the preset threshold, the early warning prompt module immediately sends early warning information to the review terminal of the corresponding professional department and the project manager, and marks the abnormal data in the historical database of the data storage module. The entire process realizes closed-loop management of data flow through the modular architecture, ensures that task allocation is dynamically adjusted based on real-time updated data, and abnormal situations are discovered and handled in a timely manner.

[0080] As a preferred embodiment, the scheme of the application is implemented as follows: the intelligent scheduling platform includes a data storage module, a task allocation module and a review feedback module. The data storage module adopts a distributed database architecture, and its storage space is divided into an initial report information partition, a preliminary review result partition, a detailed planning result partition and a professional department review feedback partition. Each partition realizes fast data positioning through a hash algorithm. The task allocation module has a built-in dynamic weight calculation engine. The engine generates a spatial index according to the geographic location field of the initial report information in the data storage module, matches a preset weight template in combination with the semantic analysis result of the project type field, and finally outputs a task allocation instruction set with a time stamp. The review feedback module is deployed with an asynchronous message queue system. When the professional department completes the special review, the review opinion is encapsulated as a structured data package and stored in the review feedback partition, and at the same time, a counter is triggered to count the feedback entries generated in each review stage in real time. The counter uses a sliding window mechanism to record the maximum number of feedbacks generated within 24 hours.

[0081] The application further proposes that the review feedback module further includes a data statistics unit, which is used for statistical analysis of the maximum number of review feedback information and generates a statistical report. The statistical report includes the number of review feedback information, the review pass rate and the review duration of each professional department.

[0082] The data statistical unit generates a structured report containing the number of audit feedback information, the audit pass rate and the audit duration by preset algorithm. The number of audit feedback information is obtained by accumulating the feedback items generated by each professional department in the audit stage. The audit pass rate is calculated based on the ratio of the number of feedback items passed to the total number of feedback items. The audit duration is determined by recording the time difference from receiving the task to completing the audit of each professional department. The statistical report further displays the audit efficiency of each professional department in the form of tables or charts. For example, when the audit duration of a certain professional department is significantly higher than that of other departments, the report will highlight the difference. The data statistical unit is in communication connection with the task allocation module. When the audit pass rate is lower than the preset threshold, the task allocation module is triggered to adjust the weight proportion of the professional department.

[0083] In some embodiments, the data statistical unit automatically extracts relevant data and classifies and summarizes after the audit feedback module records the maximum number of audit feedback information of each professional department. The number of audit feedback information is counted as the total number of feedback items submitted by each department in the audit stage. The audit pass rate is obtained by calculating the percentage of passed items to the total number of items. The audit duration is accurate to the hour or minute level. The generated statistical report is displayed through the visual interface of the intelligent scheduling platform. Management personnel can intuitively view the audit efficiency difference of each department. For example, when the audit duration of the electrical design department exceeds twenty percent of the average value, the report will mark this abnormal situation and suggest increasing the human resources of the department or adjusting the task allocation weight. By continuously collecting and analyzing the data in the statistical report, the intelligent scheduling platform can dynamically optimize the task allocation strategy, reduce the bottleneck in the audit stage, and improve the efficiency of the overall building application process.

[0084] As a preferred embodiment, the scheme of the application is implemented as follows: the audit feedback module integrates a data statistical unit, which performs frequency statistics and distribution analysis on the maximum number of audit feedback information through a preset algorithm. The audit feedback information is classified into technical opinions, compliance modification requirements and supplementary material requests. In the statistical report generation process, the audit pass rate is obtained by calculating the ratio of the number of items passed by each professional department to the total number of accepted items. The audit duration is obtained by extracting the timestamp data in the task allocation module and calculating the time difference between the start times. The statistical report is displayed in the form of visual charts, including feedback information quantity comparison in the form of column chart, audit pass rate trend in the form of line chart and audit duration distribution in the form of heat map.

[0085] The application further proposes that the intelligent scheduling platform includes a warning prompt module. The warning prompt module is used to prompt a building project that does not meet the building application requirements based on the comparison result of the maximum number of audit feedback information and the preset number, and sends the warning prompt information to the relevant professional department and the building project responsible person.

[0086] The early warning prompt module is connected with the data statistical unit of the audit feedback module through a data interface, and the maximum number of audit feedback information is acquired in real time; a preset number threshold range is preset in the early warning prompt module, and the threshold is set based on the statistical analysis result of the historical project audit pass rate; the early warning prompt information includes a project number, a non-compliance item category and a suggested treatment measure, and is transmitted to a target terminal through an encrypted communication protocol; after receiving the early warning prompt information, a related professional department triggers an internal task priority adjustment mechanism, and a building project manager confirms information reception and starts a rectification process through a terminal.

[0087] In some embodiments, when the maximum number of audit feedback information is less than or equal to the preset number, the early warning prompt module automatically generates an early warning signal, and after the signal is triggered, the corresponding project detailed planning result and preliminary audit record are called through the audit feedback module to generate an early warning report containing project key indicators; the early warning prompt information is pushed to the task management interface of the professional department and the mobile terminal of the person in charge through a message queue, the professional department reassigns audit resources according to the information content, and the person in charge can view the early warning state in real time and coordinate the processing; the statistical report generated by the data statistical unit provides the early warning prompt module with reference values of audit duration and pass rate, and when the actual audit duration exceeds the average duration of the same type of project in the report, the early warning prompt module sends a progress delay prompt. Through this mechanism, projects that do not meet the requirements can be identified at the early stage of the audit phase, avoiding repeated processes due to human inspection omissions and shortening the overall reporting period.

[0088] As a preferred embodiment, the scheme of the application is implemented as follows: the early warning prompt module is configured to acquire the maximum number of audit feedback information recorded in the audit feedback module in real time, and automatically compare it with a preset number threshold. When the maximum number is less than the preset threshold, the early warning prompt module immediately generates early warning prompt information containing a project number, a problem type and a suggested treatment measure, which is pushed to the terminal equipment of the related professional department and the mobile equipment of the building project manager in the form of a pop-up notification and an email through the communication interface of the intelligent scheduling platform. The early warning prompt information further contains a problem positioning link, which can jump to the corresponding audit record page in the audit feedback module after being clicked. After the early warning is triggered, the intelligent scheduling platform automatically generates an early warning log and stores it in the data storage module, and the log content includes the triggering time, the associated professional department and the early warning processing state.

[0089] The above only describes the embodiments of the application and is not used to limit the protection scope of the application. For those skilled in the art, the application can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the application shall be included in the protection scope of the application.

Claims

1. A multi-specialty parallel construction project intelligent collaborative scheduling method, characterized in that, The method is applied to a building project multi-professional parallel reporting system comprising multiple professional departments and an intelligent scheduling platform, each of the professional departments is in communication connection with the intelligent scheduling platform, and the method comprises: obtaining a first task allocation interval of each professional department based on initial reporting information of a building project, wherein the initial reporting information comprises a geographical location, a size, a project type, planning drawings, design documents and related qualifications of the project; performing preliminary auditing on the building project, and obtaining a second task allocation interval of each professional department based on a preliminary auditing result, wherein the preliminary auditing comprises compliance checking on the planning drawings, the design documents and the related qualifications; performing detailed planning on the building project after the preliminary auditing, and performing multi-professional collaborative evaluation on the building project after the detailed planning to obtain a third task allocation interval, wherein the detailed planning comprises refinement of a functional layout, a structural design, a water supply and drainage design, an electrical design and a fire-fighting design of the building project; comparing the first task allocation interval and the second task allocation interval, if there is a difference, marking the difference part as a first collaborative task interval, and judging whether there is an overlapping interval between the third task allocation interval and the first collaborative task interval; if there is no overlapping interval, selecting at least one professional department in the third task allocation interval to perform a special auditing on the building project after the detailed planning, and recording a maximum number of auditing feedback information of the building project after the detailed planning in each professional department auditing stage; comparing the maximum number with a preset number, and judging whether the building project meets reporting requirements based on a comparison result.

2. The intelligent collaborative scheduling method for building project multi-specialty parallel construction according to claim 1, characterized in that, The method comprises: classifying and identifying the initial reporting information based on the geographical location, the size and the project type of the building project, judging a professional category to which the building project belongs; if the professional category to which the building project belongs comprises multiple professional departments, distributing the building project to each professional department according to a preset weight proportion, and obtaining a first task allocation interval of each professional department, wherein the weight proportion is set according to importance and workload of each professional department in the building project.

3. The intelligent collaborative scheduling method for building project multi-specialty parallel construction according to claim 2, characterized in that, The method comprises: performing preliminary auditing on the planning drawings, the design documents and the related qualifications of the building project through the intelligent scheduling platform to obtain a preliminary auditing result; reclassifying the building project based on the preliminary auditing result, if the preliminary auditing result indicates that the building project has a part that does not meet requirements, adjusting a weight proportion corresponding to the part that does not meet requirements to obtain a second task allocation interval of each professional department.

4. The intelligent collaborative scheduling method for building project multi-specialty parallel construction according to claim 3, characterized in that, The method comprises: performing detailed planning on the building project after the preliminary auditing, and performing multi-professional collaborative evaluation on the building project after the detailed planning to obtain a third task allocation interval, wherein the detailed planning comprises refinement of a functional layout, a structural design, a water supply and drainage design, an electrical design and a fire-fighting design of the building project. The building project after the preliminary review is sent to a detailed planning module, and the building project is planned in detail according to preset planning standards, so as to obtain a building project after detailed planning; Based on the building project after detailed planning, each professional department is organized to perform multi-professional collaborative evaluation through the intelligent scheduling platform, the building project is adjusted in weight according to the evaluation opinions of each professional department, and a third task allocation interval is obtained.

5. The intelligent collaborative scheduling method for building project multi-specialty parallel construction according to claim 4, characterized in that, If the third task allocation interval overlaps with the first collaborative task interval, the building project is determined as not meeting the requirements for reporting, and the building project not meeting the requirements for reporting is rejected.

6. The intelligent collaborative scheduling method for building project multi-specialty parallel construction according to claim 4, characterized in that, The selected at least one professional department in the third task allocation interval performs special review on the building project after detailed planning, and records the maximum number of review feedback information of the building project after detailed planning in each professional department review stage, including: At least one professional department in the weight range of the third task allocation interval is selected based on the weight proportion of the third task allocation interval; The professional department controls the building project after detailed planning to perform special review according to the preset review process, and records the maximum number of review feedback information of the building project after detailed planning in each professional department review stage.

7. The intelligent collaborative scheduling method for building project multi-specialty parallel construction according to claim 1, characterized in that, The comparison between the maximum number and the preset number, and the judgment of whether the building project meets the reporting requirements based on the comparison result, includes: If the maximum number of review feedback information in each professional department review stage is greater than the preset number, it is determined that the building project meets the reporting requirements; If the maximum number of review feedback information in any professional department review stage is less than or equal to the preset number, it is determined that the building project does not meet the reporting requirements, and the building project not meeting the reporting requirements is rejected.

8. The intelligent collaborative scheduling method for building project multi-specialty parallel construction according to claim 1, characterized in that, The intelligent scheduling platform includes a data storage module, a task allocation module and an audit feedback module, the data storage module is used to store the initial reporting information of the building project, the preliminary review result, the detailed planning result and the audit feedback information of each professional department, the task allocation module is used to allocate tasks to each professional department according to the initial reporting information of the building project, the preliminary review result and the detailed planning result, and the audit feedback module is used to record the maximum number of audit feedback information of the building project in each professional department review stage.

9. The intelligent collaborative scheduling method for building project multi-specialty parallel construction according to claim 8, characterized in that, The audit feedback module further includes a data statistics unit, the data statistics unit is used to statistically analyze the maximum number of audit feedback information, and generate a statistical report, the statistical report includes the number of audit feedback information, the audit pass rate and the audit time of each professional department.

10. The intelligent collaborative scheduling method for building project multi-specialty parallel construction according to claim 9, characterized in that, The intelligent scheduling platform further includes a warning prompt module, the warning prompt module is used to prompt the building project not meeting the reporting requirements according to the comparison result of the maximum number of audit feedback information and the preset number, and sends the warning prompt information to the relevant professional departments and the building project responsible person.

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