30 results about "Project completion" patented technology

The invention provides an inertial sensing range and sensitivity adjusting method, which belongs to the technical field of parameter adjustment, and comprises the following steps: after an item opening instruction is obtained, obtaining basic information of a moving body, and calling an adaptive sensing range according to the basic information; different detection nodes are set in the whole process before a project is started, the feedback degree of a moving body is recorded in sequence when execution is carried out to each node, values of corresponding positions of an internal curve are increased or decreased according to the feedback degree, and corresponding sensitivity is dynamically set according to the internal curve. The feedback speed and external performance of the moving body are judged in the project execution process, and the follow-up content and links of the project are adjusted in combination with the action model library till the project is completed or closed. The inertial sensing range and sensitivity adjusting method provided by the invention can carry out specific dynamic adjustment according to the state of the moving body and the actual situation, has strong pertinence and ensures smooth completion of a project.

The invention provides a figure portrait generation method and system of a smart personnel management platform, and relates to the technical field of data processing. The method comprises the steps of collecting basic attribute data, work description text data and work behavior data of a to-be-portrayed staff; determining a work performance value of the to-be-portrayed staff based on the work behavior data; determining a project importance degree based on the total fund investment and the basic attribute data of each participant, determining a project completion degree based on a project completion rate and project time consumption, and determining a project comprehensive complexity based on the project importance degree and the project completion degree; determining the context weight of each participating project by combining the comprehensive complexity of the historical project, and determining the contribution quality of the staff to be portrayed based on the work performance value and the context weight; determining a staff capability evaluation value based on the work description text data; and determining a staff comprehensive ability value based on each contribution quality and the staff ability evaluation value, and generating a visual figure portrait of the staff to be portrayed. According to the invention, the portrait can be more accurately generated.

The invention discloses a labor capability allocation method and device based on a dynamic weight, a medium and a product, and the method comprises the steps: obtaining the complexity and personnel skill data of each task in response to a project labor capability allocation request; based on the dynamic coupling model, calculating the real-time matching degree of the personnel and the tasks in combination with the dynamic weight factors corresponding to the tasks; then, according to a matching result and multi-dimensional constraints such as project cost and time, a multi-objective optimization algorithm is adopted to generate an optimal labor force and energy distribution scheme and expected progress data; after the scheme is executed, the actual progress of the project is monitored in real time and compared with expected data; if the deviation exceeds a set threshold value, a feedback mechanism is triggered, the personnel skill data and the dynamic weight factor are updated, the matching and optimizing process is restarted, and closed-loop self-adaptive management of the whole period of the project is achieved until the project is completed, and the technical scheme of the embodiment of the invention remarkably improves the accuracy of resource allocation and the self-adaptive capacity of project management.

This invention relates to the field of machine learning technology, specifically disclosing a machine learning method based on engineering project contract data, comprising the following steps: Step S1: Collect historical engineering project contract data, including factor values ​​and project progress at each time point; calculate the impact sensitivity and sensitive impact value of each factor, distinguishing between high-sensitivity factors and low-sensitivity factors; Step S2: Set a monitoring interval, collect factor values ​​and project progress data in real time; dynamically correct the sensitive impact value of high-sensitivity factors based on real-time data, generate correction parameters, and ensure that the model adapts to the latest project status; Step S3: Combine the correction parameters of high-sensitivity factors and the fixed sensitivity values ​​of low-sensitivity factors to predict the project completion time interval; calculate the probability value of a reasonable long payment period for the project based on the comparison between the predicted time and the actual planned time; This method improves the accuracy of engineering project progress prediction by dynamically adjusting key factor parameters.

The invention relates to the technical field of engineering data analysis, in particular to a safety early warning method and system based on engineering project multi-source data, and the method mainly comprises the steps: obtaining the standard reaching rate of a current project based on the total completion degree of the project and the total completion degree of a target project; and based on the first early warning index and a judgment threshold value, outputting a result of sending out early warning at present, if the early warning result is not sent out, judging whether the current project completion degree is greater than or equal to the target project completion degree, and correcting the calculation weight of the first sub-project related to the first early warning model to obtain a second early warning model. Through the above method, the data collected in each sub-project is analyzed, and comprehensive consideration is carried out in combination with the condition of the current project progress, so that a more accurate reference result is obtained, and workers can use the reference result and take more accurate countermeasures.

The invention discloses a project group owner risk cost optimization method under an uncertain delay perspective. The method comprises the following steps: generating a plurality of groups of project group delay scenes by using a Monte Carlo method; putting forward a prediction model based on a GNN-GRNN algorithm, taking the predicted completion time of each project and the completion degree of each project as the input of the GNN algorithm to obtain an association relationship among the projects, inputting the three kinds of data into the GRNN algorithm on the basis of a generated delay scene, and predicting the project group material demand quantity at the next moment; constructing a project group owner risk cost optimization model under an uncertain delay perspective; and the optimization model is solved by using a DDPG algorithm to obtain the material supply amount at the next moment, the project hurry-up strategy and the risk cost after optimization, so that the decision-making difficulty of a manager is reduced.

The application discloses a construction organization whole-process management system, which is suitable for a railway construction process and comprises an interactive sharing platform, a preliminary management module, an execution period management module and a completion period management module, wherein the interactive sharing platform is a center for information sharing and data exchange of construction participants and is used for monitoring abnormal construction processes; the preliminary management module performs preliminary analysis according to shared data and uploads the preliminary analysis to the interactive sharing platform in real time; the execution period management module supervises progress and quality in a construction execution process, generates efficiency and quality analysis results and uploads the efficiency and quality analysis results to the interactive sharing platform; the completion period management module acquires customer internal acceptance information after completion, analyzes differences between the acceptance information, summarizes the differences, generates a project delivery report and uploads the project delivery report to the interactive sharing platform; and the tracing module is used for storing data of various construction projects in categories; the whole-process management system realizes information sharing of the railway construction process, supervision and early warning of abnormal construction, increases experiences of customer parties and railway management parties, improves project completion capability and customer satisfaction and realizes data tracing.

This application discloses a method, system, and medium for evaluating employee performance based on project completion, solving the technical problem in existing enterprise management where it is impossible to conduct refined evaluations of employee work performance using project data from completed projects. The method includes: determining a project knowledge graph based on project data from completed projects by the employee to be evaluated; acquiring historical project data and training a preset model based on this data to determine a scoring model; wherein the preset model includes a first preset model and a second preset model, and the scoring model includes a single-module scoring model and a comprehensive scoring model; the single-module scoring model is a model for determining the score obtained by the employee in completing a certain module of the project; and determining the comprehensive score of the employee's completed project based on the project knowledge graph and the scoring model. This application achieves refined evaluation of employee work performance through the above method.

The invention relates to the field of project management, in particular to an intelligent project quantity list review method, which comprises the following steps of: extracting each factor point influencing project completion settlement in a historical project according to a historical database, and screening each key influence factor point influencing project completion settlement in the project through calculation; the project amount completion settlement list is imported from the project management system through the data interface, then standardization processing is carried out on the project amount completion settlement list according to all key influence factor points influencing project completion settlement in the project, and finally data abnormal points of the project amount completion settlement list after standardization processing are recognized. According to the technical scheme, the method can be used for assisting review personnel to better understand the condition of an engineering project and find potential problems and abnormities, meanwhile, the digital system can record each step and decision in the review process, subsequent supervision and auditing are facilitated, the fairness and compliance of the review process are ensured, multi-person real-time cooperative operation is achieved, and the working efficiency is improved.

The invention is suitable for the technical field of completion data management, and particularly relates to a project completion management method and system, and the method comprises the steps: reading target data of project completion management, segmenting the target data into a plurality of blocks, configuring unit numbers, recognizing participating individuals of each file unit, and setting an execution sequence, the unit numbers are written into a preset template, verification requests are generated, signature windows are integrated, and the verification requests are sequentially issued to the equipment terminals of the corresponding participating individuals according to the execution sequence; receiving feedback data uploaded by the participated individuals, intercepting signature snapshots, carrying out sequential numbering, clustering pixel points in the signature snapshots into foreground pixels and background pixels, and traversing the pixel number of each foreground pixel; according to the invention, by constructing the cooperative processing architecture, the allocation of storage resources can be optimized, the data security, the storage efficiency and the access performance are considered, and the management level of project completion data is greatly improved.

The invention relates to a project development data management method and system based on artificial intelligence, equipment and a medium. The method comprises the steps of establishing a resource index database based on a preset container mirror image database in combination with received task description and project anchor points, generating a development scheme, executing data modification operation in an independent container based on the development scheme, and generating a detailed operation log; receiving a process instruction of a user in a project development process, and generating an instruction context in combination with a current project state; a response result is generated through the AI model module, automatic operation in the independent container is executed, and an instruction execution log is generated; when project development is completed, whether project resources such as detailed operation logs and instruction execution logs in the independent containers are complete or not is verified; and if so, packaging the project resources and submitting the project resources to a project warehouse. By adopting the method, the problems of environment isomerism, data dispersion, unsmooth AI interaction and the like in traditional development can be effectively solved, and the cooperation efficiency is remarkably improved.

Systems and methods to prioritize resources of projects within a collaboration environment are described herein. Exemplary implementations may: manage environment state information maintaining a collaboration environment, the environment state information including prioritized resource information identifying prioritized resources associated with units of work that support fulfilment of projects; manage information defining project-level graphical user interfaces of the projects; effectuate presentation of individual ones of the project-level graphical user interfaces including representations of prioritized ones of the resources for the individual projects; and / or perform other operations.

Systems and methods to prioritize resources of projects within a collaboration environment are described herein. Exemplary implementations may: manage environment state information maintaining a collaboration environment, the environment state information including prioritized resource information identifying prioritized resources associated with units of work that support fulfilment of projects; manage information defining project-level graphical user interfaces of the projects; effectuate presentation of individual ones of the project-level graphical user interfaces including representations of prioritized ones of the resources for the individual projects; and / or perform other operations.

The invention relates to the technical field of project management, and provides a scientific research project information management method and system and computer equipment. According to the implementation scheme, in response to a project approval request, achievement conversion pre-planning is executed on project basic information of the project approval request so as to construct an input-output reference model; instantiating the scientific research project metadata in the state change event to generate instantiated digital assets; in response to the question settlement request, matching a corresponding target instantiated digital asset and a target input-output reference model through a project identifier of the question settlement request; performing difference analysis on the target instantiated digital assets and the target input-output reference model to generate a technical readiness final evaluation report; and calculating a profit distribution scheme based on the technical readiness ultimate report, and storing the profit distribution scheme and the technical readiness ultimate report in a data storage layer in an associated manner. According to the embodiment of the invention, the intelligent management level of scientific research project data in project establishment, project settlement and achievement transformation stages is improved.

The invention discloses a production project completion commissioning research and judgment method and device based on a large model, a storage medium and computer equipment. The method comprises the steps of obtaining production project total data of different power projects from a plurality of production project management systems; the production engineering management system comprises a production management system, a risk control platform, a financial system, a material management system and a document management system. Integrating the production project total data through a pre-trained large model to form a production project data set of each electric power project; the production project data set corresponding to each electric power project is analyzed to determine whether each electric power project has completion and production state abnormity or not, and the completion and production state abnormity comprises false completion, uncompleted first settlement and completion unreported.

The invention relates to the technical field of power distribution operation and inspection center power utilization project management, and discloses a power distribution operation and inspection center power utilization project acceptance management and control method, which comprises the steps of newly establishing an approval process, filling a plan list, distributing the filled plan list to a user, and logging in a system by the user. All to-do lists in a project are distributed in advance according to user information, then a user completes the to-do lists and power consumption project acceptance of a power distribution center, finally the completed power consumption project is stored in a management and control center system, a power consumption project calling and modifying interface is reserved, and user operation records are stored in a management and control center. Power distribution and utilization project operation of a user is monitored in real time, the project acceptance data maintenance accuracy and efficiency are effectively improved, and the benefits of a power grid are ensured.

This application provides an intelligent management method, device, system, medium, and program for scientific research projects. The method includes: retrieving project documents related to the target project from a project management module based on the project status; matching the project documents with metadata rules to generate structured metadata, and assigning security classification tags to the project documents based on the structured metadata; generating a document set for the target project in response to a project status indication of project completion, and uploading it to an output repository; when the target document needs to be processed, retrieving the target document from the document set of the target project in the output repository based on the structured metadata, and invoking the corresponding access control mechanism for processing based on the security classification tags. This method automatically triggers the capture of project documents based on the project status, and combines metadata and security classification tags to form a secure document set that enables document reuse, greatly improving the efficiency and security of document processing.

The invention relates to the technical field of machine learning, and particularly discloses an engineering project contract data-based machine learning method, which comprises the following steps of S1, collecting contract data of historical engineering projects, including factor values of time nodes and project progress; calculating the influence sensitivity and the sensitive influence value of each factor, and distinguishing a high-sensitivity factor and a low-sensitivity factor; s2, setting a monitoring interval, and collecting each factor value and project progress data in real time; dynamically correcting the sensitive influence value of the high-sensitivity factor according to the real-time data, generating a correction parameter, and ensuring that the model adapts to the latest project state; s3, predicting a time interval of project completion in combination with the correction parameter of the high-sensitivity factor and the fixed sensitivity value of the low-sensitivity factor; calculating the probability value of the reasonable long account age of the project based on the comparison of the prediction time and the actual plan time; according to the method, key factor parameters are dynamically adjusted, so that the accuracy of engineering project progress prediction is improved.

1. The name of the design product: project management graphical user interface for electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the content in the graphical user interface displayed on the display screen panel. 4. The picture or photo that best shows the design points: front view. 5. The display screen panel is a conventional design and has no design points, and other views are omitted. 6. The use of the graphical user interface: to display relevant information of various aspects in the project progress. 7. Other circumstances that need to be explained: the front view is a general operation status display page corresponding to the project, the left side is a function navigation bar, and the corresponding function interface is entered by clicking the function button; interface change state diagram 1 is a function interface entered by clicking the project overall distribution button in the front view; interface change state diagram 2 is a function interface entered by clicking the project stage board button in the interface change state diagram 1; interface change state diagram 3 is a function interface entered by clicking the project Gantt chart function button in the project operation status report submenu in the interface change state diagram 2; interface change state diagram 4 is a function interface entered by clicking the human data function button in the project data analysis sub-menu in the interface change state diagram 3; interface change state diagram 5 is a function interface entered by clicking the project data function button in the project data analysis sub-menu in the interface change state diagram 4; interface change state diagram 6 is a function interface entered by clicking the project approval analysis function button in the project data analysis sub-menu in the interface change state diagram 5; interface change state diagram 7 is a function interface entered by clicking the project completion analysis function button in the project data analysis sub-menu in the interface change state diagram 6; interface change state diagram 8 is a function interface entered by clicking the member group management function button in the permission management sub-menu in the interface change state diagram 7.

The application provides an adjustment method for inertia sensing range and sensitivity, and belongs to the technical field of parameter adjustment, which comprises the following steps: obtaining basic information of a moving body after obtaining a project starting instruction, and calling a sensing range matched with the basic information; setting different detection nodes in the whole process before the project starts, recording feedback degrees of the moving body in sequence when the project is executed to each node, increasing or decreasing values of corresponding positions of an internal curve according to the feedback degrees, and dynamically setting corresponding sensitivities according to the internal curve; determining feedback speeds and external performances of the moving body in the process of project execution, combining with a motion model library, and adjusting subsequent contents and links of the project until the project is completed or closed. The adjustment method for inertia sensing range and sensitivity provided by the application can dynamically adjust according to the state of the moving body and actual conditions, and is more targeted to ensure the smooth completion of the project.

The utility model relates to the technical field of PVC-C liner tubes, in particular to a PVC-C liner tube with an embedded marking line, which comprises a first tube body and a second tube body, the right end of the first tube body is fixedly connected with a first connecting disc, and the left end of the second tube body is fixedly connected with a second connecting disc. The opposite faces of the first connecting disc and the second connecting disc are each provided with four through penetrating grooves, a connecting mechanism is jointly connected between every two transverse penetrating grooves in a penetrating mode, and four limiting grooves are formed in the outer surface of the second connecting disc. According to the PVC-C liner tube with the embedded marking line, the first tube body and the second tube body can be conveniently installed in a butt joint mode, the installation process is simplified, construction time and human input are reduced, engineering projects can be completed more quickly, time cost is saved, complex technologies and professional tools are not needed, and the production efficiency is improved. The requirement for the skill level of constructors is lowered, and the technical problems and operation errors in the construction process are reduced.

The embodiment of the application relates to the fields of data processing and project evaluation, and provides a kind of automatic evaluation method, device, terminal and medium of distribution network engineering quality, the method comprises: obtaining the first project image set of the distribution network engineering project to be evaluated and the project attribute information of the distribution network engineering project to be evaluated by user terminal;According to the first project image set, determine the project completion information of the distribution network engineering project to be evaluated;According to the project attribute information, determine the project acceptance information of the distribution network engineering project to be evaluated;According to the project acceptance information and the project completion information, the project completion degree evaluation of the distribution network engineering project to be evaluated is carried out, and the project completion degree evaluation result is obtained, the image of the distribution network engineering project to be evaluated and the project attribute information can be combined to automatically carry out project completion degree evaluation, obtain project completion degree evaluation result, improve the accuracy when determining project completion degree evaluation result.

This invention discloses an intelligent big data processing method and system based on a digital sand table, comprising: acquiring engineering drawings and real-time project progress records; using the engineering drawings as a framework, supplementing the framework content according to the project progress records to obtain a digital sand table model; and correcting the digital sand table model based on real-time acquired high-precision images to obtain a digital sand table reflecting the actual situation. By combining engineering drawings, real-time construction progress, and high-precision image data, the digital sand table model can be dynamically corrected, achieving real-time visualization of construction progress. Compared with traditional methods, this technology provides higher accuracy and timeliness, effectively avoiding information lag and error accumulation problems. Through accurate progress assessment and real-time monitoring, managers can better grasp project progress, optimize resource allocation, identify construction deviations in advance, ensure timely and high-quality project completion, and improve construction efficiency and project quality.

The application discloses a project management system for non-standard manufacturing industry, comprising the following steps: S1, project establishment according to orders; S2, production arrangement of the project and original projects according to delivery cycle of the orders, and production plan is made, the production plan includes time required for normal production and processing, time required for rework and time required for scrapping and redoing; S3, raw material plan is made according to the production plan; S4, production is carried out according to the production plan, and data uploading is carried out through a corresponding data collection module after each step is completed; S5, after production is completed, project delivery is entered; S6, after the project is completed, remaining materials of the project are counted and registered into a warehouse management system; S7, after the project is completed, a project report is made and is archived; S8, project data in the archive is analyzed and arranged, and a process is updated.

The invention is suitable for the technical field of engineering management, and relates to a metering payment management system and method for work completion account clearing, and the system comprises a metering payment module which is used for carrying out the measurement and accounting of the completed work amount according to the contract agreement, and completing the payment; the contract management module is used for performing payment settlement and payment on the completed project content or service according to payment conditions, pricing modes and time nodes agreed by a contract; the expense expenditure module is used for paying the supplier, the contractor, the service party or other rights and interests according to the contract agreement, the actual expense or the established obligation; and the final settlement management module is used for systematized accounting, auditing and closed-loop management and control of all economic activities after project completion. According to the invention, all expenditures on a project can be managed in a unified manner, meanwhile, all contract, expense and metering data can be connected to a final settlement, a standard process metering payment report and a settlement ledger are automatically formed, and payment after work is completed is realized.

The invention discloses an engineering settlement management risk monitoring system, which relates to a management monitoring optimization technology, is used for improving the problem of data expansion or shortage caused by engineering data category difference under fixed-point monitoring, and comprises the following steps: collecting change conditions of various types of engineering data and recording uploading and auditing frequencies of different types of engineering data; the method comprises the following steps of: counting historical error rates of various engineering data, respectively formulating different risk braking values for different types of engineering data, counting revision conditions of various types of engineering data, setting different monitoring levels, and selecting an engineering data risk monitoring method to carry out risk monitoring by integrating the monitoring levels and the historical error rates of various types of engineering data. Acquiring a monitoring result, transmitting the monitoring result to a user side, acquiring a confirmation result of the user side within inspection time, calculating monitoring efficiency of various engineering data risk monitoring methods, calling an engineering completion progress, collecting different feedback data in combination with the monitoring efficiency, and judging whether the risk monitoring methods corresponding to different types of engineering data are changed or not.

A traffic construction project completion detection method, system, medium and program product, in which the accuracy of the completion detection is improved.

The invention discloses an engineering supervision system and method based on green engineering construction, relates to the technical field of engineering project management, and is used for solving the problems that process data cannot be analyzed in real time and key projects needing to be emphatically supervised are difficult to effectively screen out. The risk of each project is comprehensively assessed by acquiring the number of engineering projects, acquiring processing time, calculating a processing time ratio, acquiring the number of participants, recording conference frequency and the like, and the project completion degree is calculated by counting the amount of completed events. And judging whether a multi-project parallel condition exists in combination with the project risk and the completion degree, and if so, entering a project supervision optimization process. And in the optimization process, key supervision engineering projects are screened out in combination with project interaction deadlines and processing time change data, so that the engineering supervision efficiency and management accuracy under the multi-project parallel condition are improved.

This invention discloses a cloud computing-based dynamic cost management system for engineering projects, relating to the field of data analysis technology. The system includes: determining the upper limit of available funds, the project completion deadline, and the project's application requirements; dividing the project's construction progress according to task type and dividing the completion deadline based on task type to obtain the construction time limit for each task type; using the construction time limit for each task type as the basic constraint and the upper limit of available funds as the variable constraint, generating construction methods for each task type; determining whether the construction methods for each task type meet the project's application requirements; if not, re-selecting; if yes, executing normally. The advantages of this invention are: reduced manual intervention costs, shortened construction period, and improved capital utilization management.

The invention provides a planning method for improving the bearing capacity of a cement mixing pile, which belongs to the technical field of construction planning, and comprises the following steps: determining the stratum structure of a construction area and the composition and density of soil at different depths according to an investigation result, and finally determining the bearing conditions of different positions and different depths of the construction area. According to the first strategy, a reinforcing rod is drilled into the bottom of the drill hole, and the reinforcing rod is downwards inserted into the stratum below the drill hole; and according to the second strategy, reaming is conducted on the side wall of the drilled hole, and the size of the final stirring pile and the stability of the stratum are increased. And measuring and calculating the difference between the initial scheme and the final project requirement by taking the bearing condition as a principle, selecting the combination mode of the strategy I and the strategy II and the corresponding parameter specification according to the difference, and finally guiding the construction by the initial scheme after strategy improvement. According to the planning method for improving the bearing capacity of the cement mixing pile, the bearing capacity of the mixing pile is improved, the cost needed by improvement is low, the construction period needed by project completion is shortened, and enterprise benefits are improved.