65 results about "Project completion" patented technology

The invention relates to the technical field of enterprise data management, in particular to a distributed collaborative office data processing method and system, and the method comprises the following steps: based on employee task completion records, evaluating various capability processing capabilities of employees through extracting and analyzing the project completion data, feedback frequency and interaction data of the employees, and calculating the task completion data of the employees; the task process of the current project is analyzed, the requirements of the target project for various skills are identified, and a capability and requirement data set is formed; according to the invention, through real-time monitoring and analysis of interaction data and feedback frequency of employees, capability of the employees is accurately assessed and project requirements are matched, reasonable human resource configuration is realized and flexibility of project management is improved, and through dynamic adjustment of data access authority, information security is ensured and a data leakage risk is reduced. Real-time data synchronization and consistency verification guarantee that data is accurate among multiple nodes, the team is helped to identify the reason of low efficiency in combination with analysis of cooperation efficiency, and the cooperation efficiency among team members is enhanced.

A system for intelligent automation of project processes and prediction of project progress, including: (a) an AI-driven task automation module (101) for intelligent task allocation based on expertise and workload; b) a real-time monitoring and reporting module (102) to track project progress and provide real-time insights; (c) a predictive progress analysis module(103) that uses machine learning to predict project completion and identify risks; d) an adaptive workflow management engine (104) for dynamically reconfiguring workflows in response to project changes; (e) an integration and communication interface (105) for seamless interoperability with third-party project management tools.

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 relates to the technical field of constructional engineering informatization, and discloses an engineering consultation management system based on big data. Collecting data of material declaration price, market average price, project submission amount, project review amount, change amount cumulant, contract initial amount, project payment paid proportion and project actual completion progress in project cost through access of multi-source heterogeneous data; and the data processing module is used for processing and analyzing the data acquired by the data acquisition module so as to calculate the deviation condition of the material unit price, the deviation condition of the engineering quantity, the density condition of the change signature and the payment deviation condition of the progress money. According to the method, comprehensive collection of multi-source heterogeneous data is adopted, the problem that a traditional system is single in data source is solved, the information coverage range is widened, and false or missing information in the project cost is rapidly judged through an integrated calculation engine.

The invention provides a building engineering cost data analysis management system and method, and the method comprises the steps: traversing historically completed engineering projects, dividing the projects based on project types, and carrying out the difference analysis of the project cost data of the projects of the same type; in the completed engineering project, obtaining the influence of regional environmental factors in the engineering project on the cost; analyzing the influence of the construction data in the completed engineering project on the cost, and generating an analysis result; according to the method, the influence of the same completion time in different environments on the construction cost, the influence of different completion time in different environments on the construction cost and the influence of different completion time in the same environment on the construction cost are obtained by analyzing the construction cost data of the historical projects; in combination with the influence of the environment on the completion time, the precise cost data of the project can be obtained through analysis screen matching, so that the project can be maintained in a certain cost range on the premise of ensuring the high efficiency of the project completion time.

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 is suitable for the technical field of completion progress assessment, and particularly relates to a project completion progress assessment method and system, and the method comprises the steps: obtaining a construction plan of a project, delimiting construction points, carrying out the connection to obtain a patrol route for progress assessment, collecting the image data of the patrol route through a panoramic camera, and carrying out the assessment of the project completion progress. Splicing is carried out to obtain a panoramic image, and the construction point position is marked in the panoramic image; and reading the change characteristics from the construction point location, determining the deployment position of the card reader, and obtaining the use permission of the RFID tag integrated in the safety helmet in advance. By comparing the standard progress with the panoramic image, the construction progress can be grasped in time, the difference between the actual progress and the standard progress can be quickly identified, a data basis is provided for project progress evaluation, and the construction point location which is not inspected on time can be found by determining the activation window, so that the timeliness of the panoramic image is ensured, and the project progress evaluation efficiency is improved. And the accuracy of completion progress evaluation is greatly improved.

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.

The invention discloses a traffic construction project completion detection method and system, a medium and a program product, and in the method, the accuracy of completion detection is improved.

The present invention is applicable to the field of data storage technologies, and particularly relates to a method and system for storing project completion data. The method includes: obtaining project completion data, clustering it into several categories, and performing packet encapsulation to obtain data packets; extracting the data summary and key information of each data packet, creating an authentication system, transferring all the data packets into the authentication system, using a preset hash function to hash the data summary, defining the obtained hash value as a location identifier, and establishing a correspondence relationship among the data summary, key information, and location identifier; selecting storage nodes, configuring the attributes of each storage node, and based on the attributes, dividing the storage nodes into high-speed nodes and cloud nodes. The present invention can enhance data security, prevent data abuse and leakage, greatly improve data storage efficiency, and ensure the user experience by determining the final data and target permissions.

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.

The invention provides an electric power engineering project progress prediction method, system and device and a storage medium, and relates to the technical field of electric power engineering, and the method comprises the steps: dividing an electric power engineering project into a plurality of engineering sub-projects, and obtaining the construction data of a construction team corresponding to each engineering sub-project, and the associated data between the engineering sub-projects; calculating the first construction efficiency of each construction team according to the construction data; determining a first influence index according to the associated data, and adjusting the first construction efficiency and the second construction efficiency according to the first influence index; obtaining a construction environment of each project sub-project, and determining a second influence index according to the construction environment; and adjusting the second construction efficiency according to the second influence index, generating the target construction efficiency of each construction team, and determining the completion time of the electric power engineering project according to the target construction efficiency. The technical effect of the invention is that the deviation between the prediction result of the project completion time and the actual situation is reduced.

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 present invention discloses a method for collaborative planning of project resources based on a double triangle evolution mechanism, which relates to the field of project resource scheduling. The problem to be solved is to sort task execution and schedule project resources for complex task networks and multi-type complex resources in R&D projects, optimize algorithm efficiency, and improve resource utilization and project completion quality. Regarding this problem, we proposed a method based on a double triangle mechanism, covering the following aspects: by integrating the resource replenishment mechanism of the double triangle mechanism, the resource scheduling task coding of R&D scientific research projects, and the tolerance processing of failure, the characteristics and model of the double triangle evolution are abstracted. Based on this model, we proposed an algorithm to deal with the problem of project resource scheduling. This algorithm design includes individual elimination and replenishment based on the double triangle mechanism, tolerance processing of failure, and resource scheduling task coding of R&D scientific research projects.

A construction project management and control method comprises the following steps: (1) in a project establishment stage, business department personnel and related technical support departments compile a proposal; (2) in a feasibility research stage, business department personnel and related technical support departments compile and fill a feasibility research report on the basis of proposal reply and project approval evaluation; (3) an initial setting stage; (4) an adjustment reporting stage; (5) a plan implementation stage; (6) a construction project completion acceptance stage; and (7) post-evaluation stage. The construction project management and control method is designed for improving the construction project management informatization level, full-life-cycle management from project planning, argumentation, project approval, feasibility research, initial setting, implementation, completion acceptance to post evaluation can be achieved, full-life-cycle management of the project can be achieved, meanwhile, through monitoring of various indexes, the construction project management information level is improved, and the construction project management information level is improved. And the implementation progress of the project can be better mastered, and the project risk is reduced.

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.

A project management system disclosed by the present invention comprises a project input module, a fund monitoring module, a project implementation monitoring module and a project after-sales module, the project input module inputs an initiated project based on a block chain and determines project details, and the fund monitoring module carries out fund supervision on the established project. The project implementation monitoring module is used for project decomposition, distribution and implementation, the project after-sales module is used for monitoring the project completion progress, and the project input module comprises a member registration sub-module for registration and use based on a block chain. The sealing and testing sub-module is used for testing the performance, and the member registration sub-module is used for sealing a block chain interface; the information scanning sub-module is used for automatically inputting the uploaded contract or protocol; and the login module is used for accessing the packaged block chain interface. According to the invention, through integration of social resources and a block chain technology, a safe, efficient and extensible project management solution is provided for enterprises.

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 discloses an intelligent garden construction management method and an intelligent garden construction management device. According to the embodiment, construction site data is collected in real time; comprise field environment data, the total number of construction devices, the number of faults of the devices in an observation period, the total operation time of the devices, the working load coefficient of the devices, the fault repairing time of the devices, the sum of the planned working time of the devices, the non-planned shutdown time, the planned maintenance time, the working load coefficient and the total available time of the construction devices. The construction material consumption rate, the construction material total purchase amount, the construction material usage amount, the construction material loss amount, the actually completed construction amount, the material utilization efficiency factor, the material utilization efficiency, the total project completion amount, the number of personnel participating in construction, the skill level of construction personnel and the like are calculated; and the construction safety efficiency index and the construction safety are analyzed, calculated and evaluated in combination with the data, so that the construction safety can be accurately and objectively checked, and potential safety hazards of construction can be eliminated in time.

Provided is a recommendation engine to provide automatically recommendations for the completion of an engineering project, the recommendation engine including: a first artificial intelligence, AI, module adapted to provide latent representations of a sequence of selected items; and a second artificial intelligence, AI, module adapted to process the latent representations of the sequence of selected items provided by the first artificial intelligence, AI, module to generate at least one sequence of complementary items required to complement the sequence of selected items to provide a complete sequence of items output via an interface as a recommendation to complete the engineering project.

The invention relates to the technical field of evidence encryption, in particular to a project progress management method and device, electronic equipment and a storage medium. According to the scheme, the method comprises the steps of obtaining item building information; obtaining target supplier information based on a preset supplier registration system; determining bid-winning suppliers and non-bid-winning suppliers based on the target supplier information and the project bid evaluation result; based on the non-bid-winning suppliers, sending a non-bid-winning supplier deposit return instruction; obtaining project result data, and initiating a project archiving process; based on the project archiving process, the project corresponding to the project construction information is completed, after each step is completed, a 100% progress bar is updated in real time, the project progress can be visually displayed, the capability and efficiency of a project manager in project management and execution aspects can be reflected, the progress standard is unified, and the project management efficiency is improved. The progress, the completion condition and the existing problems of the project are displayed more visually and clearly, so that a project manager is helped to better manage the project, and the project completion degree is improved.

The present invention discloses an automated task management method and system for engineering construction and digital delivery, and relates to the technical field of intelligent project management, including: obtaining all pending tasks in a project library; determining the remaining workload of each pending task; obtaining the deadline of each pending task; adding an important weight value to each pending task based on the attributes of each pending task; screening out a number of priority tasks; establishing an important weight matrix; establishing an urgency matrix; calculating the priority index of each priority task; and planning the task priority of the priority tasks from large to small according to the priority index of the priority tasks. The advantages of the present invention are: the most important engineering tasks of an enterprise can be intelligently selected for priority processing, ensuring that the enterprise maintains the maximum work efficiency and project completion when processing engineering tasks, thereby ensuring efficient and stable management of enterprise projects.

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 relates to a project risk prediction method and device, equipment, a storage medium and a program product. The method comprises the following steps: acquiring comprehensive information and change information of a target project; analyzing and processing the comprehensive information and the change information by using a pre-trained factor analysis model to obtain a factor list influencing the completion condition of the target project; and performing prediction processing by using a pre-trained risk prediction model and the factor list to obtain a risk prediction result of the target project, the risk prediction result being used for representing a probability that the target project cannot be completed on schedule. By adopting the method, the efficiency is high, and the risk can be accurately and timely predicted.