157 results about "Cost estimate" patented technology

The invention relates to the technical field of cost assessment, in particular to a civil construction project cost assessment optimization system, which comprises a feature analysis module, a cost estimation module, a real-time monitoring module, a model training and tuning module, a risk analysis module, a decision support module, a financial simulation module and a reinforcement learning cost adjustment module. According to the invention, a convolutional neural network algorithm and a principal component analysis method in the feature analysis module excavate building information model data and screen key features, and the cost estimation module combines a multi-layer perceptron neural network and a linear regression model to enhance the cost mode analysis capability and calculate the project cost. The digital twinborn technology and the dynamic programming algorithm realize tracking of project progress and real-time monitoring of cost change in the real-time monitoring module, and the genetic algorithm and the machine learning algorithm realize continuous optimization and self-learning of model parameters in the model training and tuning module. And a Monte Carlo simulation method and a sensitivity analysis method are used for identifying and evaluating project risks in the risk analysis module.

By automating everything from design drawing analysis to cost estimation, work efficiency is improved and highly accurate cost estimation is achieved. [Solution] The program is a program to be executed by a computer having a processor and a memory, and the program causes the processor to execute the following steps: accepting information about a design drawing; selecting a tool to be used by inputting a first prompt containing information about the design drawing and an instruction to execute the estimation process to a generation AI configured to execute an estimation process using a first tool and a second tool based on the information about the design drawing; when the first tool is selected, identifying an area included in the information about the design drawing using the first tool; and when the second tool is selected, calculating the quantity of components included in the identified area using the second tool.

The invention discloses a low-altitude path planning method and system based on a dynamic adaptive graph neural network, and belongs to the technical field of artificial intelligence and robot autonomous navigation. Aiming at the problems of large calculation amount of a fixed grid map, slow dynamic response of a static octree, failure of a traditional heuristic function on a non-uniform graph and the like, the invention provides the following scheme: constructing a resolution self-adaptive non-uniform graph by using the octree; a Morton code is adopted to realize rapid positioning of a dynamic obstacle and millisecond-level updating of a map; an attention mechanism is introduced into a graph attention network (GAT), weights are adaptively allocated to different neighbor nodes, features are aggregated, and a high-precision heuristic cost estimation value is output; and finally, integrating the estimated value into an algorithm to perform efficient path search. According to the method, the memory occupation and the calculation complexity are remarkably reduced, and the planning efficiency and the path safety in a dynamic environment are improved.

The invention discloses a manufacturing process optimization method and system based on multi-agent autonomous collaboration, and the method is applied to a central coordinator, and comprises the steps: transmitting a received production demand to a task planning agent for the task planning agent to carry out the analysis and decomposition, and forming task information; receiving task information, wherein the task information comprises sub-tasks after the task planning intelligent agent analyzes and decomposes the production demand; the sub-tasks are sent to a plurality of intelligent agents, so that the intelligent agents perform bidding according to self capability evaluation functions and cost estimation to generate bidding information; and bidding information is received, the bidding information comprises a self-ability evaluation function and cost estimation of each agent for each sub-task, the sub-tasks are allocated to the multiple agents according to a total execution cost minimization principle, and a production plan is generated and executed. According to the method provided by the invention, planning and execution of the production task can be autonomously completed in a complex manufacturing scene, and the production efficiency and the product quality are improved.

The invention relates to a software function demand assessment method and system based on function points, a medium and equipment, and the method comprises the steps: decomposing to-be-assessed software into a plurality of function points according to an estimated function, so as to estimate the total function point number of the software; acquiring reference data through historical project data, estimating the workload of the software through the reference data and an estimation model according to the total function points, and introducing an adjustment factor to adjust the estimated value of the workload; a cost estimated value is determined through the estimated value of the workload, an accurate software project plan is made according to the cost estimated value and the estimated value of the workload, and the progress and quality of a project are monitored through measurement of function points. The invention relates to the technical field of software evaluation, and can effectively improve the accuracy of estimation.

The invention relates to computer-implemented systems and methods for implementing an application modernization and migration tool. The invention provides: initiating a discovery of current system specifics, wherein the discovery comprises business analysis and technical analysis; based on the discovery, developing a modernization plan that prioritizes and optimizes application and system migration, wherein the modernization plan considers risk analysis and cost estimation; designing a pathway and an architecture for the modernization plan; executing the pathway and implementing the architecture to initiate a modernize and migrate process for a target system wherein the modernize and migrate process comprises one or more of: infrastructure build, data migration, rebuild, rehost, re-platform, refactor and integrations, testing and delivery; and making available operation of the modernized and migrated target system.

The inventors have implemented in a columnar in-memory database and studied access patterns of a large production enterprise system. To obtain accurate cost estimates for a configuration, the inventors have used the what-if capabilities of modern query optimizers. What-if calls, however, are the major bottleneck for most index selection approaches. Hence, a major constraint is to limit the number of what-if optimizer calls. And even though the inventive approach does not limit the index candidate set, it decreases the number of what-if calls because in each iteration step the number of possible (index) extensions is comparably small which results in a limited number of what-if calls.

The utility model discloses a constructional engineering cost preliminary budget combination template, relates to the technical field of constructional engineering, and aims to solve the technical problem that the current constructional engineering cost preliminary budget combination template is inconvenient to quickly replace, the constructional engineering cost preliminary budget combination template comprises a fixed bracket, and a mounting plate is arranged on the fixed bracket. According to the utility model, the four groups of templates are arranged in the mounting plate, the four groups of templates are respectively the basic data entry area, the cost calculation area, the result display area and the related information supplement area, and then the quick fixing structures corresponding to the mounting rods on the templates are arranged on the back surface of the mounting plate, so that when the templates are mounted, the inserting rods of the quick fixing structures are pulled, and the templates can be quickly fixed. And at the moment, the spring is in a compressed state, then the template is placed in the placement groove of the mounting plate, the mounting rod of the template penetrates through the first through hole, and then the insertion rod is pushed to be quickly reset and inserted into the second through hole of the mounting rod under the action of the spring, so that quick mounting of the template can be realized.

The invention discloses an informatization software project cost evaluation system and method, and the system comprises a data collection module, a data processing module, a cost evaluation module and a result output module, and relates to the technical field of software project management. According to the informatization software project cost evaluation system and method, through cooperative work of the cost evaluation unit and the value evaluation unit of the cost evaluation module, a quantitative evaluation model is constructed based on historical data and market dynamics, accurate measurement and calculation of the whole life cycle cost of a software project are realized, and when the deviation analysis unit finds that the cost is abnormal, the evaluation result is accurate. And the data can be immediately fed back to the data processing module and the cost evaluation module for dynamic adjustment, so that a closed-loop management mechanism of estimation-evaluation-deviation correction is formed, the problem of disordered cost management is fundamentally solved, the cost is reduced, and meanwhile, reasonable allocation of resources and stability of software quality are ensured through matching analysis of the cost and the value.

The invention relates to the technical field of fabricated building cost estimation, and discloses an indoor fabricated design parameter intelligent matching cost estimation method. The method comprises the following steps: constructing a dynamic coupling fabricated component spatio-temporal evolution deduction network for bearing and simulating an interaction and transition process of design parameters in a complete assembly period; based on the network, spatio-temporal trajectory simulation is carried out on historical project data, and a component evolution path sequence containing cost correlation is generated. And establishing a semantic mapping channel from the evolution path sequence to the cost element, and analyzing the sequence into a structured cost influence factor map. And for a design scheme input in real time, the description of the design scheme is injected into the network for deduction, and a target component evolution path is obtained. And carrying out map matching and factor mapping on a target path by utilizing the cost influence factor map, and automatically outputting a refined cost estimation entry. According to the method, accurate and automatic estimation of the dynamic influence cost of the design parameters is realized.

The invention discloses a building cost estimation method and device based on artificial intelligence, a storage medium and an electronic device. The method comprises the steps that a target drawing is acquired, and information in the target drawing is recognized and mapped to a standard layer; space planning is conducted on the target drawing, a target contour is determined based on the standard layer and the space planning scheme, and the target contour is used for cost measurement and calculation; calling an intelligent semantic recognition engine, analyzing product usage information in the target contour, classifying the primitives based on the spatial relationship and the product features, and determining a target primitive classification result; product processes are intelligently matched based on the target primitive classification result, the price library is called to calculate the target price for estimation list information, the target estimation building cost is determined, the estimation list information comprises the product processes and product usage information, and the technical problem that in the prior art, the building cost estimation efficiency is low is solved.

A computer system for sump pump monitoring and repair service provider notification may include one or more processors configured to: detect that a sump pump is faulty, transmit a prompt for service quotes to a machine learning (ML) chatbot to cause the ML chatbot to: request sump pump replacement or repair services from one or more service providers, receive cost estimates from the one or more repair service providers, receive schedule availability from the one or more repair service providers, receive, from the ML chatbot, the cost estimates and the schedule availability, and communicate the cost estimates and / or the schedule availability to a user associated with the sump pump.

A computer is programmed to determine a relationship between a confidence level and a cost estimate for collecting a data set from a plurality of remote devices, then receive an input selecting a confidence value for the confidence level and a cost estimate for the cost estimate, select an actual selection of the remote devices according to the confidence value, and transmit a request for the data set to the remote devices in the actual selection. The confidence level indicates a statistical confidence in the data set based on a candidate selection of the remote devices. The cost estimate indicates a cost for collecting the data set from the candidate selection of the remote devices. The confidence value and the cost estimate are consistent with the relationship between the confidence level and the cost estimate.

The present invention relates to the field related to engineering cost assessment, and discloses a pipeline layout management method and system based on data analysis. By collecting and evaluating environmental geological data and the environmental requirements for pipeline layout, the degree of transformation required for the corresponding environmental geology when pipelines are laid out in various locations in the assessment area is judged, and then the cost of pipeline layout can be estimated according to the unit cost of different environmental geological transformations, so as to determine the cost-optimal path for pipeline layout between points AB, and realize full-process cost planning and solution output.

Methods, computer-readable media, software, and apparatuses may receive, at a field vehicle, field data from one or more unmanned autonomous vehicles, where the field data may be indicative of an item for assessment. Edge-computing, based on machine learning techniques, may be performed at the field vehicle to identify one or more characteristics of the assessment, and a projected cost may be determined. An estimate may be sent to a consumer. In some aspects, the projected costs may be based on local data related to a geographical location of the item. In another aspect, underwriting tasks may be performed at the field vehicle, and a quote may be sent to a consumer.

The invention discloses a whole vehicle performance integration balance prediction method, system and device and a medium, and relates to the technical field of automobile engineering and artificial intelligence. The method comprises the following steps: acquiring a vehicle design parameter set containing structured feature data; inputting the data into a hybrid integrated AI agent model in parallel; using the first feature learning branch to extract decision tree path information as a first intermediate feature vector representing a structured rule; using a second feature learning branch to extract a full connection layer high-order semantic vector as a second intermediate feature vector representing the physical coupling relationship; carrying out weighted fusion on the two through a feature fusion network and carrying out multi-task prediction; and finally outputting a balance scheme including performance indexes and cost estimation. According to the method, the advantages of rule learning and nonlinear fitting are combined through a hybrid model architecture, traditional time-consuming simulation iteration is replaced, and rapid and accurate collaborative optimization of the whole vehicle performance and cost is achieved.

This utility model relates to the field of display stand technology, specifically a bidding information display stand for engineering cost estimates. The utility model includes a display stand body, and a statistical component is provided on the inner wall of the display stand body. The statistical component includes a statistical rod slidably connected to the inner wall of the display stand body. By setting up the statistical component, when it is necessary to count the number of times a bidding document has been read by visitors, after a visitor removes the bidding document, the statistical rod moves downwards due to its own weight, causing the receiving end of a photoelectric sensor to move downwards into the mounting slot, thereby receiving the signal light emitted by the transmitting end of the photoelectric sensor, and thus sending an electrical signal to the controller, causing the counter to increment by one. Then the visitor puts it back into the display stand body, and the counter increments again when the next visitor removes it for reading. The same method can be used to count the bidding documents in each compartment of the display stand body, thereby achieving the purpose of counting the number of times bidding documents have been read.

The invention relates to a building material cost estimation method and system, a terminal and a storage medium, and relates to the technical field of building material cost estimation, and the method comprises the steps: collecting a specific construction position and a project construction drawing of a preset underground parking lot; searching a matched parking lot set in a preset regional project library according to the specific construction position and a preset matching condition; analyzing the matched parking lot set and the project construction drawing to determine matched parking lots, project matching areas and project unmatching areas; analyzing the matched parking lot and the matched project area to determine the building material cost of the matched area; performing BIM modeling and cost estimation on the project unmatched area to determine the building material cost of the unmatched area; and determining the project building material cost of the underground parking lot according to the building material cost of the matched area and the building material cost of the unmatched area. The method has the effect of improving the estimation efficiency of the building material cost.

A computer implemented method for determining a set of parameters for developing an oil and gas field or infrastructure is described. In an embodiment, the method comprises: (i) receiving a plurality of input parameters comprising a type of the oil and gas field or infrastructure, a stage parameter indicating a stage of the oil and gas field or infrastructure, a type of output of the oil and gas field or infrastructure and a location of the oil and gas field or infrastructure: (ii) receiving historical data associated with the plurality of input parameters: (iii) generating sets of suggested parameters for developing the oil and gas field or infrastructure based on the plurality of input parameters and the historical data, each of the sets of suggested parameters includes development parameters: (iv) forming a subset of the sets of suggested parameters based on at least one of the development parameters; and (v) determining a cost estimate for each of the subset of the sets of suggested parameters for use in determining the set of parameters for developing the oil and gas field or infrastructure. A system for determining a set of parameters for developing an oil and gas field or infrastructure is also described.

To provide a low-cost method for estimating conditions under which a memory capacity shortage of a node can be suppressed when causing the plurality of nodes to execute processing of a problem.SOLUTION: A control unit multiplies the number of first processes per node in the case of executing the process of a target problem B1 by a predetermined number to calculate the number of second processes per node in the case of executing the process of an evaluation problem B2 which is smaller in a computational amount than the target problem B1 on a small number of nodes; allows, assuming that the number of second processes is constant, executing the process of the evaluation problem B2 under respective conditions under which each of the size of the evaluation problem B2 and the number of nodes executing the process of the evaluation problem B2 is increased stepwise at the same rate; calculates an approximate curve of the relationship between the size of the evaluation problem B2 and the memory usage per node under each condition; and estimates the number of nodes executing the process of the target problem B1 and the size of the target problem B1 based on the approximate curve, the amount of memory usage per node when an error occurs due to insufficient memory capacity, and the predetermined number.SELECTED DRAWING: Figure 12

The invention discloses a query plan generation method and device, electronic equipment and a storage medium. A predicted resource consumption value of a structured query language is generated based on historical query according to a meta-learning model in a query optimizer, and at least one execution plan is generated according to physical query optimization; obtaining a first execution plan, calculating a first resource consumption value of the first execution plan, and calculating a first comparison similarity between the first resource consumption value and the predicted resource consumption value; and after determining that the first comparison similarity is greater than or equal to a preset similarity threshold, determining the first execution plan as a target execution plan. A structured query language is estimated based on historical query through a preposed meta-learning model to obtain a predicted resource consumption value, and similarity calculation is performed on the predicted resource consumption value and the resource consumption value of the generated execution plan to determine a final target execution plan, so that the cost estimation number of the execution plan is reduced, and the efficiency of the execution plan is improved. The output speed of the final execution plan is accelerated, and the calculation overhead is reduced.

To more accurately predict industrial property costs.SOLUTION: A cost prediction system includes: a reading unit that reads occurred and incomplete events that have already occurred but are incomplete at a time point of when the prediction is executed; a first prediction unit that predicts costs and cost occurrence timing relating to the occurred and incomplete events; a second prediction unit that predicts costs and cost occurrence timing relating to non-occurred events that are expected to occur after the time point of when the prediction is executed; a counting unit that counts the costs predicted to be incurred for a cost prediction target industrial property right in units of a predetermined period based on the predictions of the first prediction unit and the second prediction unit; and an output unit that outputs the costs counted in units of the predetermined period.SELECTED DRAWING: Figure 1

This invention discloses an intelligent generation system for optimizing quota-based cost estimates in engineering projects, relating to the field of engineering cost estimation technology. The invention includes: a process action atom library construction module, used to decompose quota items into multiple process action atoms, and to label each process action atom with a cost driving factor and the function type of the cost driving factor. By constructing a process action atom library and a cost driving factor system, this invention achieves refined decomposition of quota items, laying a data foundation for conversion based on the essence of the process; it introduces a process knowledge graph to store the process logic and cost transmission relationship, enabling the system to have process reasoning capabilities, making the conversion process more consistent with engineering reality; the intelligent conversion engine executes differentiated nonlinear conversion rules based on cost driving factors, solving the systematic deviation caused by the traditional linear scaling "one-size-fits-all" approach, and effectively improving cost estimation accuracy.

A method for flood control scheduling of multi-hole reservoirs under multiple rounds of heavy rainfall includes the following steps: S1: Perform independent simulations for m from 1 to M, generating a single sample path, dynamically scheduling, and calculating the total cost. S2: Calculate the expected total cost estimate, average operating cost, average risk cost, and scheduling failure probability. S3: Execute flood control scheduling for the multi-hole reservoir based on the optimal threshold group that minimizes the expected total cost. This invention treats each round of effective heavy rainfall during the plum rain season as a random "impact" on the reservoir flood control system, and characterizes the reservoir flood control scheduling process as a multi-stage dynamic decision-making process consisting of an initial operation stage and several tiered flood discharge stages. Considering the comprehensive costs of downstream evacuation, flood disturbance, and power generation losses caused by tiered flood discharge, the optimal scheduling under risk-cost trade-offs is constructed.

Provide a system. 【Solution means】 A device for automatically aggregating information from public information sources, A device for processing the aggregated information to identify a project target, A device for creating optimized proposed content by referring to past history data, A device for automatically calculating a cost estimate, A device for automatically creating materials for a proposal, A device for improving the proposed content by learning evaluations from users, A device for visually checking and modifying the proposed content using a mobile terminal or an information display device, A system including.

The invention provides a monitoring camera site selection method and device, a medium and equipment, and belongs to the technical field of video monitoring layout, and the method comprises the steps: obtaining geographical constraint data and power supply node coordinate data of a region range to be subjected to site selection; acquiring cost distribution data according to the geographical constraint data and the power supply node coordinate data; and according to the geographical constraint data and the cost distribution data, constructing and solving a multi-objective optimization model, and according to a solving result, generating site selection scheme information of the monitoring camera. According to the method, the actual wiring path difficulty from each candidate position to the adjacent power supply node is calculated, and real engineering obstacles such as topographic relief and gradient are incorporated into the cost model. The optimal path planned by using the Dijkstra algorithm can accurately reflect the engineering quantity and material cost of cable laying, avoids the cost underestimation caused by neglecting the terrain in the traditional method, reduces the total cost estimation error, and significantly improves the economy and feasibility of the site selection scheme.

The invention relates to a whole-process manufacturing cost estimation method for aeronautical parts, which comprises the following steps of: establishing a process parameter library through an SQLite database platform, performing database management through an Oracle server, covering process parameters of whole-process price estimation of the aeronautical parts, and calculating the whole-process manufacturing cost of the aeronautical parts according to the process parameters of the whole-process manufacturing cost of the aeronautical parts. Comprising a material parameter library, an equipment cutter parameter library, a feature definition parameter library, a special manufacturing parameter library and an other-class parameter library, a cost estimation process based on the whole aeronautical part manufacturing process is constructed, the cost estimation process comprises material cost estimation, numerical control milling cost estimation, special manufacturing cost estimation and other cost estimation, and a cost database is established through a server. In conclusion, according to the aeronautical part cost estimation method, the process of replacing manual calculation with machine calculation for aeronautical part cost estimation is achieved, the aeronautical part cost estimation process is more accurate and efficient, whole-process cost element recognition is achieved, and the cost estimation process is more comprehensive and rigorous.

Systems and methods provide for an automated system for analyzing damage and processing claims associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using cameras and lasers for determining the extent and severity of the damage. To aid in this determination, the server may also interface with various internal and external databases storing reference images of undamaged items and cost estimate information for repairing previously analyzed damages of similar items. Further still, the server may generate a payment for compensating a claimant for repair of the insured item.

Disclosed are a system and method for developing a patent invention. The disclosed system for developing a patent invention comprises: a client terminal that requests a development server to investigate the marketability of a patent invention, requests development in accordance with a marketability evaluation result, and requests manufacture of a prototype in accordance with a development estimate provided from the development server; and the development server that receives, from the client terminal, a request to investigate the marketability, produces promotional material including virtual product modeling for the patent invention on the basis of patent registration publication, evaluates the marketability on the basis of responses to the promotional material, provides the marketability evaluation result to the client terminal, receives a development request from the client terminal, calculates a development cost estimate for the patent invention on the basis of the patent registration publication, provides the development cost estimate to the client terminal, and provides an advertisement video for the sale of produced goods after product development is completed.