70results about How to "Evaluation results are objective" patented technology

The invention relates to the technical field of behavior recognition, in particular to a machine learning-based surgical personnel video behavior recognition method and system. The method comprises the following steps: acquiring a video frame sequence and a point cloud frame sequence from a hand washing area of an operator through an RGB camera and laser ranging equipment to obtain the video frame sequence and the point cloud frame sequence; performing hand point cloud segmentation on the point cloud frame sequence to obtain hand point cloud data; performing action original data generation according to the video frame sequence and the hand point cloud data to obtain action original data; and extracting position and attitude information of hand key points from the original motion data to obtain video key point feature data. Visual information is captured through the RGB camera, three-dimensional depth information is obtained through the laser ranging device, fine analysis and evaluation are carried out on actions in combination with the deep learning network, and finally higher recognition precision, robustness and automation level are achieved.

The invention discloses an alternating current charging pile ordered charging power regulation and control method, and relates to the technical field of alternating current charging pile charging power regulation and control, and the method specifically comprises the following steps: obtaining the operation state information of each alternating current charging pile in real time, and generating a voltage fluctuation influence index and a load dynamic response index of each alternating current charging pile; constructing a power influence evaluation model for the generated voltage fluctuation influence index and the load dynamic response index of each alternating current charging pile, generating a power influence evaluation coefficient of each alternating current charging pile, performing analysis after generation, and evaluating the influence degree of the three-phase voltage phase difference fluctuation on the charging power of each alternating current charging pile. And the alternating current charging piles are divided into low-influence charging piles, medium-influence charging piles and high-influence charging piles according to the evaluation result. According to the method, the problem that the charging power is influenced by three-phase voltage phase difference fluctuation is solved, and the efficient and stable effects of dynamic evaluation and accurate regulation and control of the power of the charging pile are achieved.

The invention relates to a soil health evaluation method and device based on soil multifunction, and the method comprises the steps: collecting a soil health index value of a to-be-evaluated region according to a preset collection index; performing function division on the collection indexes to obtain a plurality of soil function categories; respectively calculating soil function scores corresponding to a plurality of soil function categories according to the soil health index values; performing clustering analysis on the plurality of soil function categories of the to-be-evaluated region to obtain weight distribution of the soil function categories; according to the weight distribution and the soil function score, calculating to obtain a soil multifunctional index of the to-be-evaluated region; and performing soil health evaluation on the to-be-evaluated area according to the soil multifunctional index to obtain an evaluation grade. According to the invention, the performance of the soil in different functional aspects can be reflected more accurately, and the soil health condition can be evaluated accurately.

The invention provides a pumped storage power station site selection method based on an improved analytic hierarchy process and related equipment. The method comprises the following steps: constructing a hierarchical structure model of pumped storage power station site selection; refining the criterion layer, comparing the relative importance of each factor of the criterion layer in pairs by adopting a scaling method of 1-6 and reciprocals thereof, and constructing an initial judgment matrix; constructing an entropy weight matrix by using an entropy weight method according to each factor; correcting the initial judgment matrix according to the entropy weight matrix to obtain a corrected judgment matrix; determining a weight value of each factor according to the correction judgment matrix and performing consistency verification; determining a scoring rule of each factor, calculating a score of each factor, and calculating a comprehensive score according to the score of each factor and the weight value; and determining an optimal power station site selection scheme according to the comprehensive score. The pumped storage power station site selection method based on the improved analytic hierarchy process and the related equipment provided by the invention are simple and convenient, and can effectively determine the optimal power station site selection scheme.

The invention relates to the technical field of new energy automobile batteries, and particularly discloses a new energy battery health state monitoring method and system based on big data analysis, and the method comprises the steps: collecting historical performance parameters of a battery to which a new energy automobile belongs, and carrying out the big data analysis of a performance comprehensive evaluation value of the battery to which the new energy automobile belongs; therefore, the performance reference set of the battery to which the new energy automobile belongs is obtained through matching, a scientific data basis is provided for continuously monitoring the performance of the battery to which the new energy automobile belongs, and the performance stability index of the battery to which the new energy automobile belongs is evaluated by monitoring the actual operation condition of the new energy automobile. Therefore, the performance reference set of the battery to which the new energy automobile belongs is updated in time, the health state of the new energy battery can be continuously and accurately fed back, the safety and stability of the battery to which the new energy automobile belongs and even the running of the new energy automobile are powerfully guaranteed, and a solid guarantee is provided for safe running of the new energy automobile.

The invention belongs to the technical field of enterprise digital development, and particularly relates to an enterprise digital development risk early warning method based on multi-view analysis. Comprising the following steps: S1, constructing a risk factor set; s2, constructing a risk quantitative evaluation model based on EW-AHP; s3, a risk evolution early warning model based on DEMATEL-ISM is constructed; according to the invention, the enterprise digital development risk early warning system based on multi-view analysis is constructed, so that comprehensive and systematic assessment of multi-dimensional risk factors such as technology, operation, management and law in the enterprise digital process is realized. Risk quantitative evaluation is performed by introducing an EW-AHP model, so that the evaluation result is more objective and scientific. A DEMATEL-ISM model is integrated, interaction and influence mechanisms among risk factors are deeply analyzed, and clear risk evolution paths and early warning indexes are provided for enterprises. The uncertainty in the digital transformation process is effectively reduced, the anti-risk capability and market competitiveness of enterprises are improved, and smooth promotion and sustainable development of digital transformation of the enterprises are guaranteed.

The invention provides a heat source tower heat pump applicability evaluation model construction and applicability evaluation method and system. The heat source tower heat pump applicability evaluation model construction method comprises the steps that historical state data of a heat source tower heat pump, all index values of the historical state data under a preset applicability evaluation index system and real applicability evaluation results corresponding to all the index values are obtained; taking each index value of the historical state data under the applicability evaluation index system as input data of training data; taking a real applicability evaluation result corresponding to each index value as output data of the training data; based on the input data and the output data, training a neural network model by using a particle swarm algorithm to obtain an applicability evaluation model; the constructed applicability evaluation model is based on the applicability evaluation index system, the subjectivity of manual judgment can be reduced, the neural network model is trained by adopting the particle swarm optimization, the fitting precision of the applicability evaluation model can be improved, and the accuracy of model prediction can be improved.

The invention discloses a computer software development information management method, which relates to the technical field of computer software development information management, and comprises the following steps of: collecting software development functions and feedback information used by a user by utilizing a data collection module; and sequentially calculating and outputting a user experience feedback score UP, a software function optimization degree RG and an iteration efficiency evaluation value DX, displaying the iteration efficiency of the ith function in software development by utilizing a visualization module based on a result of the iteration efficiency evaluation value DX, and performing corresponding management adjustment. According to the method, the user feedback processing efficiency can be remarkably improved, the function optimization degree can be accurately evaluated, the iteration efficiency can be scientifically evaluated, and an effective loop feedback mechanism is established, so that software development information management can better know user requirements, optimize software functions and improve the iteration efficiency, and software products and services with higher quality are provided for users.

The invention provides a dry bulk cargo port and wharf pollution prevention and control level quantitative evaluation method which aims at four key factors which influence the dry bulk cargo port and wharf pollution prevention and control level, such as port dust and waste gas prevention and control measure application, port water pollution and solid waste prevention and control, ship pollutant receiving, transferring and disposal and port operation noise prevention and control. And respectively constructing an evaluation index and a calculation method. According to the evaluation method, a quantitative calculation method is constructed by combining 12 indexes such as a dust concentration monitoring numerical value, production wastewater and domestic sewage treatment, a ship garbage transfer and disposal proportion and a factory boundary noise standard reaching rate, the actual level of the dry bulk port wharf in the aspect of pollution control can be scientifically and systematically evaluated, and a basis is provided for port environmental protection decision making. Meanwhile, the method can be used for contrastive analysis among different ports and piers, and has relatively high operability and practicability.

The invention discloses a road quality automatic detection method and system based on object recognition, and the system comprises an image collection module which comprises a plurality of devices and is capable of adjusting parameters and collecting road images; the data transmission module is stable in transmission and supports wired and wireless modes; the image preprocessing module is used for denoising, enhancing contrast and correcting distortion; the object recognition module is used for recognizing a road problem by using a CNN model; the quality evaluation module is used for evaluating according to standards and formulas; the storage and display module is used for storing data and displaying results, and all the modules cooperate to guarantee detection. The road quality can be efficiently and accurately detected, manual errors are reduced, images can be rapidly collected and processed, various road diseases can be recognized, the quality can be automatically evaluated, data storage and display are convenient, safe and stable data transmission can be guaranteed, and road maintenance and management intelligentization is facilitated.

The invention relates to the technical field of quality evaluation, in particular to a highland barley straw feed quality evaluation method which comprises the following steps: collecting a highland barley straw sample from a highland barley field; pretreating the collected highland barley straw sample; carrying out physicochemical index analysis on the pretreated highland barley straw sample; carrying out quantitative analysis on the main nutritional ingredients of the highland barley straw sample by adopting a near infrared spectrum analysis technology; performing palatability test on the ruminants; the highland barley straw samples are stored under different temperature and humidity conditions, and the storage stability of the highland barley straw is evaluated; statistical analysis: comprehensively evaluating the feeding quality of the highland barley straws; and grading quality. According to the method disclosed by the invention, various physicochemical indexes, nutritional ingredients, storage stability and palatability test results are comprehensively considered, so that the evaluation method is more comprehensive and accurate.

The invention relates to the technical field of DC high-voltage GIS insulation, and discloses a DC insulating gas state evaluation method and related equipment based on dark current measurement, and the method comprises the steps: obtaining insulating gas dark current signals under different gas pressures, different guide rod roughness and different electric field characteristics; processing the obtained insulating gas dark current signal to obtain an average dark current value corresponding to each electric field intensity; and evaluating the insulation margin of the insulating gas under different conditions on the average dark current value based on an SVM algorithm, and completing the state evaluation of the insulating gas. According to the invention, through real-time measurement and processing of the dark current signal, real-time monitoring and dynamic evaluation of the state of the insulating gas can be realized.

The invention discloses a platform system for expropriating houses on national land, and the system comprises an information collection module which is used for collecting the basic information of expropriated houses, and the basic information comprises the positions, areas, structures and property ownership of the houses; the evaluation module is connected with the information acquisition module and is used for evaluating the value of the collected house according to the basic information; the compensation calculation module is connected with the evaluation module and is used for calculating a compensation amount according to the evaluation result and a preset compensation standard; the negotiation and communication module is used for negotiating and communicating the expropriation party and the expropriated party according to the compensation affair; and the progress tracking and monitoring module tracks the progress of house collection work in real time and carries out monitoring and early warning on key links. The method has the advantages that through automatic evaluation and process management, the time period of house expropriation is greatly shortened, the working efficiency is improved, based on a scientific evaluation model and big data analysis, the evaluation result is more accurate and objective, and personal errors are reduced.

The invention discloses a comprehensive evaluation method for the utilization rate of power distribution network equipment. An order relation analysis method, an index correlation-based index weight determination method (CRITIC), an improved grey relational degree method and an ideal solution are combined. Firstly, subjective weights and objective weights of all indexes are calculated through an order relation analysis method and a CRITIC method, and the subjective weights and the objective weights are combined and weighted to obtain comprehensive weights. And then, comprehensively evaluating the utilization rate of the power distribution network equipment by adopting an improved grey comprehensive evaluation model in combination with an ideal solution method and a grey relational degree method. According to the invention, the comprehensive evaluation object can be evaluated more comprehensively; an improved grey comprehensive evaluation model is adopted, factors such as importance, correlation and interaction of all indexes are fully considered, and the advantages of a traditional grey evaluation model and an ideal solution are combined. Through the model, the quality degree of a comprehensive evaluation object can be obtained, and the balance of indexes is considered, so that the evaluation result is more accurate and objective.

The invention relates to a dangerous chemical enterprise safety system diagnosis grading evaluation system and a dangerous chemical enterprise safety system diagnosis grading evaluation method, and aims to comprehensively and accurately evaluate the safety management level of an enterprise through a multi-dimensional and personalized evaluation method and provide scientific and objective evaluation results and improvement suggestions. The system comprises a plurality of evaluation modules for responsibility allocation rationality, planning ability, system execution ability, supervision and inspection ability, continuous improvement ability and the like, and customized evaluation can be carried out according to enterprise scales and types. Meanwhile, advanced technologies such as big data and artificial intelligence are introduced into the system, rapid and accurate evaluation data processing and analysis are achieved, improvement suggestions are automatically generated, and accurate safety management guidance is provided for enterprises. Through application of the system, dangerous chemical enterprises can find and solve problems in safety management in time, safety production efficiency and quality are improved, safety and stability of the production process are ensured, and a powerful guarantee is provided for sustainable development of the industry.

The invention provides a method and a device for selecting a target enterprise based on a classification model. The method comprises the following steps: accessing a target data platform in advance to obtain credit information of multiple benchmarking enterprises meeting credit acquisition conditions and first candidate enterprises not meeting preset credit investigation conditions; the first candidate enterprise waits to enter a credit auditing node; sampling and selecting a first part of benchmarking enterprises and the first candidate enterprises from the benchmarking enterprises to form a sample candidate enterprise set, forming a sample benchmarking enterprise set by the remaining second part of benchmarking enterprises, and training an admission classification model to obtain confidence coefficients of the first part of benchmarking enterprises and the first candidate enterprises belonging to admission categories; and according to the confidence coefficients of the first part of benchmarking enterprises and the first candidate enterprises, selecting a target enterprise to enter a credit auditing node from the first candidate enterprises, thereby automatically selecting high-quality small and micro enterprises to enter a subsequent credit auditing node, and objectively and efficiently solving the cold start problem of enterprise credit investigation white user admission.

This invention provides an automated evaluation system for vibration monitoring signals of aerospace products, comprising: a raw signal parsing module, a data preprocessing module, a signal parameter configuration module, a signal interpretation and evaluation module, and an evaluation conclusion output module. The raw signal parsing module parses unreadable raw data packets into a program-readable data format; the data preprocessing module eliminates signal start-time errors and performs filtering; the signal parameter configuration module configures parameters for single and related signals, forming a parameter configuration library; the signal interpretation and evaluation module evaluates the waveform similarity of single signals based on a cross-correlation normalization algorithm and interprets the time sequence relationship of related signals; the evaluation conclusion output module displays the evaluation results on a software interface. This invention achieves automated evaluation of vibration monitoring signals of aerospace products, replacing manual interpretation, improving evaluation efficiency and reliability, and possessing good versatility and scalability.

The invention discloses a source load-based island operation capability evaluation method and device and a medium. The method comprises the steps of generating an anticipated fault set according to operation data of a power distribution network; the method comprises the following steps: modeling a distributed power supply and a load of a disaster-affected power distribution network to obtain initial operation data of the distributed power supply and each load node; carrying out island division on the affected power distribution network according to the anticipated fault set and the initial operation data to obtain an island division result; and evaluating the operation capability of the island division result according to a preset index set to obtain an evaluation result. According to the source load-based island operation capability assessment method and apparatus, and the medium provided by the invention, the anticipated fault set and the initial operation data are comprehensively considered, the distributed power supply and the load are reasonably configured, the reliability of island division can be ensured, and the island operation capability can be effectively assessed according to the preset index set. The method can solve the problem that it is difficult to carry out effective island division and island operation capability evaluation on a disaster-affected power distribution network.

The invention belongs to the technical field of intelligent network connection roads, and particularly relates to an equipment power supply grading method based on function importance of the intelligent network connection roads. Comprising the following steps: acquiring multiple intelligent network connection road function importance indexes and the participation condition of each intelligent network connection device; a pairwise comparison method is used for each index, and a weight matrix of each index is established; rating each index of each function of the intelligent network connection road by adopting a preset evaluation method; mapping each rating result into a quantized value; performing weighted summation on the quantized values to obtain an intelligent network connection road function importance index; calculating the importance index of each intelligent network connection device according to the importance index and the participation condition of the intelligent network connection device; clustering is carried out according to the importance index, and the intelligent network connection equipment is graded; through systematic evaluation indexes, scientific and reasonable weight distribution, accurate quantitative evaluation and optimized resource distribution, powerful technical support and theoretical basis are provided for intelligent network connection equipment power supply management and optimization.

The application discloses an optimization method for a video transmission network CDR. The method comprises the following steps: acquiring an environment characteristic and a control parameter vector, wherein the control parameter vector is constructed based on a fuzzy controller of the video transmission network CDR; generating an initial value of a spore population based on the control parameter vector; iteratively optimizing the spore population by using an optimization method with an adaptive exploration and utilization strategy, so that the spore population is adapted to optimal video transmission quality under the environment characteristic; each spore of the spore population corresponds to a value of the control parameter vector; and after the iterative optimization is completed, the spore with the highest fitness in the spore population is taken as a value of a target control parameter vector and is issued to the fuzzy controller. The application can realize adaptive optimization of clock data recovery in a complex and dynamically changing video transmission environment, and improve the robustness of clock data recovery.

The application discloses a capital construction subcontractor project input evaluation method based on large model retrieval enhanced generation, which constructs a personnel portrait library, a team portrait library and a capital construction subcontractor portrait library based on manager dimension data, construction personnel dimension data and capital construction subcontractor dimension data, evaluates the portrait data in each portrait library of the large model and the expert scoring rule to evaluate the manager input score and the construction personnel input score of the capital construction subcontractor, and obtains a project input comprehensive score based on the manager input score and the construction personnel input score. By fusing the expert scoring rule and the reasoning ability of the large model, the consistency of the evaluation standard is ensured, the evaluation result is more objective and accurate, and the evaluation efficiency is also significantly improved. Moreover, the evaluation large model is obtained by fusing the expert scoring rule into the initial large model based on the retrieval enhanced generation technology, the retrieval enhanced generation technology can provide detailed scoring reasons for each score, so that the evaluation result is more persuasive.

The invention discloses an OWL-S-based Web service comprehensive score calculation method. The method comprises the following steps: using OWL-S semantics to describe Web services; selecting a multi-dimensional evaluation index; an evaluation model based on OWL-S is established; calculating a comprehensive score; optimizing the evaluation model by using machine learning; constructing a dynamic evaluation model; fusing domain knowledge; and a privacy protection mechanism is adopted. By combining the OWL-S semantic description language, multiple evaluation indexes, a machine learning algorithm, a dynamic evaluation mechanism and personalized recommendation, comprehensive evaluation and ranking of Web services are realized, the intelligent level of Web service evaluation is further improved, the evaluation accuracy, efficiency and user experience can be effectively improved, and the user experience is improved. And the requirements of Web service providers, users and platforms are met.

The invention discloses a comprehensive guarantee task personnel evaluation and distribution method, a storage medium and electronic equipment, and the method comprises the following steps: dividing task large classes according to the demands of a comprehensive guarantee task, further dividing each task large class into a plurality of sub-tasks, carrying out the collection of the execution condition historical accumulation data of each sub-task, and carrying out the calculation of the data; performing normalization preprocessing on the collected data, calculating and obtaining the average historical execution efficiency of a single person in each sub-task according to the processed historical accumulated data, constructing an efficiency evaluation model, inputting the average historical execution efficiency of the single person in each sub-task, and calculating the efficiency of the single person in each sub-task; and calculating the optimal personnel allocation and outputting the local optimal solution of the personnel allocation through a tabu search algorithm according to the sub-tasks, the corresponding duration of each sub-task and the demand quantity of each sub-task. According to the method, a multi-factor parameter evaluation system is constructed aiming at the characteristics of the comprehensive guarantee task, so that the evaluation result is more objective and accurate.

The invention relates to the technical field of optimization methods, and particularly discloses an optimization system and method for generation of an ether-based fuel for a vehicle, and the method comprises the following steps: 1, detecting the uniformity of a fuel stock solution to obtain uniform detection data; 2, based on the uniform detection data, calculating a uniform coefficient; 3, based on the uniformity coefficient, evaluating the uniformity of the fuel raw stock, and generating a uniformity evaluation signal; 4, planning a stirring route based on the non-uniform signal, so as to continuously stir the fuel raw stock based on the stirring route; 5, performing uniformity detection on the stirred fuel raw stock again until a uniform signal is generated; according to the method, a comprehensive evaluation system is constructed, the system not only covers the quantitative representation of the uniformity degree, but also considers the distribution condition of the uniformity in a global range, the evaluation result is more comprehensive and objective by comprehensively considering the two dimensions, and an effective means is provided for quality control in the production process.

The present invention discloses a method, device and equipment for evaluating line loss in a substation based on improved fuzzy decision theory, which relates to the field of multi-attribute decision-making in power systems. The method includes collecting corresponding data according to the evaluation principle of substation line loss in power enterprises and constructing a substation line loss evaluation index system for substation line loss management in power enterprises based on multiple dimensions; characterizing the uncertainty variables in the substation line loss evaluation index system based on triangular fuzzy numbers integrating interval factors; calculating the weights of substation line loss evaluation indicators in the substation line loss evaluation index system through an index weight perception algorithm; constructing a substation line loss evaluation model based on improved fuzzy decision theory based on the characterized uncertainty variables and the calculated weights, so as to realize the perception and evaluation of the substation line loss management situation of power enterprises. The present application can comprehensively construct a substation line loss evaluation index system.

The invention belongs to the technical field of post-processing, and particularly provides a vehicle end DPF passive regeneration performance evaluation method, device and equipment and a storage medium. The method comprises the following steps that original emission data of operation of different vehicles is collected; screening the original emission data to obtain effective data; dividing the effective data into a plurality of sub-data according to the vehicle number; wherein the data of each vehicle number is recorded as subdata; dividing the sub-data into a plurality of sub-data fragments according to the active regeneration state of the vehicle; calculating the increasing rate of the carbon load in each sub-data fragment of each vehicle along with the running time of the engine; calculating a passive regeneration evaluation coefficient according to the increase rate of the carbon loading capacity; and evaluating the passive regeneration performance in the set state according to the passive regeneration evaluation coefficient. By calculating the increasing rate of the carbon load in each sub-data fragment of each vehicle along with the running time of the engine and calculating a passive regeneration evaluation coefficient according to the increasing rate, quantitative evaluation of the passive regeneration performance is realized.

The invention relates to an energy transformation influence assessment method and system based on multi-factor analysis, and the method comprises the steps: obtaining a result after the execution of energy transformation in a to-be-assessed region and the caused influence, and determining influence factors under the economic, environmental and technical dimensions as original data; preprocessing the original data, and classifying and merging the processed data according to dimensions; according to the data set corresponding to each dimension, constructing an economic influence evaluation model corresponding to each dimension, outputting economic influence, environmental influence and technical influence of energy transformation on the to-be-evaluated region, outputting a model result, and constructing a comprehensive evaluation model; and outputting the comprehensive influence of the energy transformation on the to-be-evaluated region according to the comprehensive evaluation model. According to the technical scheme, the influence of energy transformation on multiple dimensions of economy, environment and technology is comprehensively considered through multiple models, so that a scientific and objective evaluation result is provided.

The invention discloses an object evaluation method which can deeply mine potential values behind data and discover association and rules among the data by performing data processing and analysis on object attribute information of a to-be-evaluated object so as to provide richer and more accurate information support for talent evaluation. The depth and breadth of evaluation are improved, and powerful data support is provided for organizational decision making. Thus, multiple aspects such as skill level, comprehensive quality and development potential of the candidates can be comprehensively evaluated, the limitation of single dimension of a traditional evaluation method is overcome, the comprehensiveness and accuracy of evaluation are improved, the burden of manual auditing is relieved, the efficiency and precision of evaluation are improved, and the evaluation result is more objective and fair. Besides, the complex evaluation result can be presented to the user in a visual and understandable evaluation result report mode, so that the user can understand and use the evaluation result conveniently, and the use satisfaction of the user is improved.

The present invention belongs to the field of health assessment technology, and provides a health assessment system and method based on AI and human physiological characteristic data. The method includes: obtaining the first physiological characteristic data of the assessed object in the first time period, and determining the first adjustment coefficient value based on the first adjustment coefficient value and the second physiological characteristic data; obtaining the second physiological characteristic data of the assessed object in the second time period, and determining the second adjustment coefficient value based on the first adjustment coefficient value and the second physiological characteristic data; obtaining the third physiological characteristic data of the assessed object in the third time period, and using the AI ​​assessment model to evaluate the third physiological characteristic data to obtain a first health assessment value; correcting the first health assessment value according to the second adjustment coefficient value to obtain a second health assessment value; and generating a health assessment report based on the second health assessment value. The present invention comprehensively evaluates the physiological characteristic data during the assessment process and the physiological characteristic data before the assessment begins, which can reduce the influence of interference factors and has higher accuracy.

The invention discloses a communication engineering single health degree standardization evaluation system, which comprises a data acquisition system, the data acquisition system is connected with a monitoring system and an evaluation system, and the evaluation system comprises a health degree evaluation model unit. A unified single health degree standardization assessment system is established, and links such as project design, project implementation, project acceptance and project submission in the whole life cycle of project construction are assessed by taking a single project as an assessment object in a mode of combining subjective scoring and objective value taking. The engineering health level is accurately and quickly evaluated, the network resource utilization rate is improved, the communication service quality is ensured, related personnel are promoted to better understand the construction target and the construction range of the engineering construction management platform, and subsequent construction work is guided to be carried out.