128 results about "Accounting method" patented technology

The invention relates to the technical field of artificial intelligence and environmental information processing, discloses a carbon emission AI intelligent accounting method and system, and aims to solve the problems of weak data fusion capability, poor accounting real-time performance, insufficient model generalization and lack of self-evolution capability of the system in the prior art. The method comprises the steps that multi-source heterogeneous operation data are collected in real time, standardized management and spatial-temporal feature extraction are carried out, direct, indirect and implicit carbon emissions are calculated through a fusion graph neural network, a time sequence attention network and an accounting cluster of an integrated tree model, and online iterative optimization of model parameters is driven based on external calibration signals. According to the scheme, carbon emission accounting is converted into a high-precision minute-level response dynamic deduction mode, the transparency and traceability of accounting are remarkably improved, continuous self-adaptive optimization in a large-scale scene is supported, and reliable data support is provided for precise carbon reduction.

The invention relates to the technical field of urban traffic management and carbon emission reduction accounting, and provides a bus travel carbon emission reduction accounting method fused with Beidou spatio-temporal data, which comprises the following steps: acquiring spatio-temporal trajectory data based on a Beidou satellite navigation system, and constructing a passenger-trajectory-station three-dimensional correlation model for passenger flow analysis; constructing a passenger transfer analysis system based on the passenger flow analysis result; constructing a dynamic'perception-prediction-optimization 'dynamic scheduling optimization system for passenger flow detail analysis on the basis of space-time trajectory data and a reinforcement learning algorithm; and constructing a mileage-frequency distribution model and a station efficiency evaluation model based on the spatio-temporal trajectory data, respectively generating a trajectory matching optimization strategy and a differentiated station optimization scheme, and realizing adaptive optimization of the public transportation system under dynamic demand change. Compared with a traditional static data dependence method, the method achieves the dynamic and fine-grained monitoring of the operation process of the public transportation system, and effectively improves the timeliness and integrity of data.

The invention relates to the technical field of carbon emission, in particular to an on-chain enterprise carbon emission accounting method and system. The method comprises the following steps: acquiring energy consumption, process flow and supply chain collaborative data of an enterprise in links of raw material acquisition, production processing, logistics transportation, equipment operation and recovery processing through Internet of Things equipment, and generating a carbon emission data set; based on a life cycle evaluation theory, boundaries of direct emission, indirect energy emission and supply chain associated emission are divided, and enterprise-level, product-level and supply chain-level carbon emission accounting models are constructed. A machine learning algorithm is utilized to analyze production fluctuation data in real time, carbon emission factor weights and accounting boundary parameters are dynamically adjusted, and an accounting result is optimized. And outputting a result to a green purchase decision-making system, a carbon asset management system and a supply chain collaboration platform. The system integrates industrial Internet of Things equipment, block chain nodes and enterprise resource planning system interfaces, collects and verifies full-link data in real time, solves the problem of data collection, and improves the accounting reliability.

The invention relates to the technical field of drainage and waterlogging prevention, and discloses an urban low-lying road drainage and waterlogging prevention capability accounting method, device and equipment, and the method comprises the steps: obtaining and quantifying road features, and constructing a road feature parameter library; then, session rainfall, road ponding data and the parameter library are associated to form a road ponding scene parameter library; taking the submerged area or the ponding depth as a target, screening characteristic parameters from the scene library, and training a prediction model; and finally predicting the ponding index of the target road through the model by using the actual characteristic parameters of the target road. The method solves the problems that a traditional method is single in data dimension and depends on experience, prediction targets can be selected according to needs to adapt to different scenes, feature screening and model training are combined, factors such as terrain, rainfall and drainage efficiency are considered, dependence on complex data and professional software is reduced, accounting is more efficient, the result better fits the reality, and the method is suitable for large-scale popularization and application. The method can quickly complete road ponding index accounting, and provides a reliable basis for ponding risk prejudgment.

The invention provides a carbon emission source and boundary identification and accounting method, system and device and a medium, and belongs to the technical field of carbon emission management. The method comprises the following steps: collecting enterprise organization related information, including an organization structure, a business range, a financial statement and production process flow data; performing text formatting processing on the related information of the enterprise organization, inputting the information into a pre-training generation type large model based on a Transform architecture for analysis, and identifying carbon boundary and carbon emission source information of the enterprise organization; constructing an accounting method library containing a plurality of carbon emission source accounting methods, and analyzing and inputting emission source types, industry ranges, accounting formulas and required data suitable for each accounting method; according to the identified carbon emission source information, matching and screening are carried out by synthesizing semantics and rules, and an applicable accounting method is matched in an accounting method library; and issuing an identification result and a matched accounting method, and displaying the carbon emission source information and the accounting method through a visual interface.

The invention discloses a clothing production effective labor hour accounting method and system based on the Internet of Things, and the method comprises the steps: obtaining the production assignment task data of a current sewing machine station, and judging whether the current sewing machine station is an effective labor station or not according to the production assignment task data; if yes, continuously monitoring and collecting a bottom-layer operation parameter sequence of the current sewing machine station through Internet of Things sensing equipment, and performing effective labor state judgment on the bottom-layer operation parameter sequence based on a predefined effective labor hour judgment logic rule; recording the duration of entering the effective working state each time by using a high-precision timer, and carrying out accumulation to generate effective working hour structured data; and generating a visual report and analysis data for performance management, production efficiency analysis and process optimization based on the effective man-hour structured data. Automatic accounting can be realized completely based on real operation data of the equipment, personal errors and faking are avoided, and justice, credibility, objectivity and accuracy of the data are ensured.

The invention discloses a casting part multi-mode intelligent cost accounting method and system, and relates to the technical field of casting engineering and intelligent cost accounting. The casting part multi-mode intelligent cost accounting method comprises the steps that process information in casting engineering is extracted and processed in a structured mode, and missing information of a plane drawing is automatically supplemented; matching a target casting process route and key parameters based on the process information subjected to the structured processing; and calculating the basic total cost according to the target casting process route, and correcting the basic total cost in combination with the historical data deviation, the real-time market data and the order variables to obtain the corrected total cost. Unified automatic analysis of the plane drawing and the three-dimensional drawing is achieved, the problem that information of the plane drawing is incomplete is solved through image recognition and rule completion, and the limitation that only a single drawing type is supported is broken through; the casting process constraint extracted from the three-dimensional drawing is directly used as a core parameter of process matching, and the plane drawing indirectly maps process requirements through feature recognition, so that quantitative association of drawing information-process parameter-cost is realized.

The invention relates to the technical field of engineering cost tracing accounting, and discloses an engineering financial cost automatic accounting method based on fund chain tracing. The method includes receiving a project-related original financial voucher stream, and generating a standardized fund transaction sequence through structured deconstruction and semantic standardization processing. And according to a preset rule map, the sequence is associated and aggregated into a multi-level fund flow network with a hierarchical relationship, and the edge attribute of the multi-level fund flow network comprises a flow amount and a cost subject direction. On the network, deep mining and propagation tracing from a tail end cost consumption node to a source fund distribution node are executed, and a complete cost influence link set is identified. And performing dynamic cost allocation and re-accounting based on the link set, generating a traceability accounting report for each cost subject, and quantifying the contribution degree of different capital sources to the final cost. According to the method, cost accounting is improved from static subject collection to dynamic tracing along an actual path, and a complete fund context formed by cost is revealed.

The invention relates to a water supply network carbon emission real-time accounting method and system based on hydraulic power-energy consumption dynamic coupling. The invention relates to the technical field of urban water affair engineering and carbon neutralization, and the method comprises the steps: collecting hydraulic data, equipment energy consumption data and regional power grid data of a water supply network through a multi-source sensing layer, and carrying out the time alignment and data cleaning; a hydraulic power-energy consumption digital twinborn model is constructed, and the dynamic efficiency of the pump set is inversed in real time; predicting a real-time carbon emission factor of the regional power grid based on a deep learning model; establishing a virtual carbon flow conduction model based on a graph neural network or a topological structure, and carrying out dynamic tracking and calculation among pipe network nodes by taking the carbon emission intensity as a virtual substance; calculating a carbon leakage index; and finally, generating a pipe network carbon thermodynamic diagram and feeding back an optimization scheduling instruction. According to the method, the problems of factor staticization, low temporal-spatial resolution and incapability of stripping invalid carbon emission of a traditional accounting method are solved.

The invention relates to the technical field of building engineering construction management of the Internet of Things, and provides a multi-modal data fusion-based reinforcing steel bar loss rate dynamic accounting method, which comprises the following steps of: acquiring multi-modal original data, serializing the multi-modal original data into structured entries, identifying corresponding points of video frames and weighing events, selecting the corresponding points as calibration anchor points, and calculating the loss rate of reinforcing steel bars according to the calibration anchor points. The timestamps of all the devices are mapped to a unified timeline through multi-point fitting; splitting according to a blanking rule to form a consumption baseline of component granularity, carrying out quantitative scoring on candidate components, screening accounting units, and obtaining a residual error by solving the difference between the actual consumption amount and the consumption baseline; searching multi-modal evidences in a corresponding time window for the residual exceeding the tolerance, calculating the effectiveness score of each evidence, defining an evidence support weight matrix for each candidate attribution category, multiplying and summing to obtain a candidate category confidence coefficient, and automatically attributing according to the confidence coefficient; and summarizing attribution statistical data indexes according to process dimensions, and checking and analyzing the indexes and historical baselines to identify anomalies.

The application belongs to the technical field of big data calculation, and particularly relates to a top-down urban carbon emission accounting method and system. The top-down urban carbon emission accounting method comprises the following steps: S1, gridizing map data to obtain carbon dioxide column concentration molar concentration data corresponding to each grid; S2, obtaining a carbon dioxide concentration difference between an accounting area and a surrounding area of the accounting area according to the carbon dioxide column concentration molar concentration data; S3, obtaining carbon dioxide concentration data of the accounting area according to the carbon dioxide concentration difference; S4, obtaining a carbon dioxide emission amount of the accounting area according to the carbon dioxide concentration data and a volume of the accounting area; and S5, obtaining a carbon emission amount of the accounting area according to the carbon dioxide emission amount. The top-down emission accounting method can avoid the problem of statistical inaccuracy in the traditional layer-by-layer reporting of carbon emissions by various industries.

The application discloses an intelligent accounting method for industrial water consumption, and relates to the technical field of industrial water consumption monitoring and intelligent accounting, and comprises the following steps: step one: receiving and analyzing water consumption accounting requirements, simultaneously acquiring historical data and real-time data from a historical data warehouse and a real-time data acquisition system, respectively, pre-processing, and generating a pre-processed data set. The intelligent accounting method for industrial water consumption realizes real-time self-adaptive adjustment of time-varying factors in industrial water consumption accounting by adopting multi-level data fusion, an improved deep learning network, data sliding window online learning, feedback closed-loop control and a hierarchical incremental updating strategy, significantly improves the prediction accuracy and system response speed of nonlinear water consumption behavior, and thus effectively overcomes the deficiency of static offline training of an accounting model in the prior art.

The invention discloses a business and financial integrated financial accounting method and device based on a rule engine, and relates to the technical field of financial accounting. The method comprises the steps that service data from a service system are received, and the service data are associated with specific source data and receipt types; based on the values of the influence factors contained in the business data, determining a target accounting book of the business data according to an accounting rule; based on values of influence factors contained in the business data, determining accounting subjects of the business data according to the classification definition and a subject comparison table; according to a conversion template corresponding to the target accounting book and the bill type, combining the field value of the business data with the accounting subject to generate a real-time voucher; and storing the real-time voucher as an accounting voucher under the target accounting book.

The invention relates to a low-carbon park optimal scheduling method based on dynamic carbon flow tracking, and the method comprises the steps: constructing and describing a park integrated energy system multi-energy flow coupling model, and building a dynamic carbon flow calculation model based on a dynamic carbon flow tracking mechanism; carrying out carbon constraint based on a dynamic carbon flow calculation result by using a park integrated energy system hour-level rolling optimization scheduling model with operation cost and carbon emission minimization as a target; and converting the optimal scheduling model into a mixed integer linear programming problem, and obtaining a Pareto optimal solution set by using an epsilon-constraint method and taking the minimum operation cost as a target and carbon emission as a constraint. Compared with the prior art, the method provided by the invention overcomes the defect that the traditional static accounting method cannot reflect the spatial-temporal dynamic characteristics of the carbon flow, and provides an accurate carbon measurement basis for implementing low-carbon scheduling in a park.

The invention relates to the technical field of carbon emission accounting, and discloses a zero-carbon park carbon emission accounting method and system.The zero-carbon park carbon emission automatic accounting method comprises the steps that preprocessing emission data of each edge computing node is obtained, and the load needed by a platform server for data preprocessing is effectively reduced; the network transmission pressure can be reduced; secondly, acquiring emission factors in an emission factor library updated in real time for each piece of preprocessed emission data by using a carbon emission data processing method; a carbon emission accounting model is used to obtain a carbon emission accounting result of the target park; and finally, verification is performed by using a rule model, so that the reliability and compliance of a carbon emission accounting result are remarkably improved, effective data support is provided for park carbon emission management, and the defect that a carbon emission accounting method in related technologies is difficult to meet the efficiency requirement of zero-carbon park construction on carbon emission real-time monitoring can be overcome. And the carbon emission accounting efficiency of the park is improved.

The invention provides a power grid infrastructure project peasant worker salary intelligent accounting method and system, and relates to the technical field of power grids. According to the invention, the accuracy and real-time performance of the source data are ensured by automatically acquiring the multi-source data, and the low efficiency and errors of manual acquisition are eradicated. And three core checks of personnel legality check, workload rationality check and payment compliance check are automatically executed, and the accuracy and compliance constraint of intelligent accounting are guaranteed. And the salary details and the accounting traceability graph are automatically generated, so that the accounting process is transparent and credible, and the approval efficiency is improved. And an electronic approval and signature process is automatically triggered, so that full-link intelligent accounting from accounting to archiving is realized. According to the method, the problems of long salary accounting period and low efficiency of the current power grid infrastructure project are solved, and the salary accounting efficiency of the power grid infrastructure project is improved.

This invention discloses a full-link intelligent reconciliation method, apparatus, device, and medium. The method includes: determining whether the payment information can be processed based on the received business settlement order; if so, processing the payment information based on the corresponding business settlement order to obtain corresponding reconciliation information and synchronizing the information; if the payment information cannot be processed, acquiring unprocessed business settlement orders, integrating them to obtain a business integration order, and determining whether there is matching payment information; if so, processing the payment information based on the matching business integration order to obtain integrated reconciliation information and synchronizing the information. The above-mentioned full-link intelligent reconciliation method can accurately associate payment information with business settlement orders and perform efficient layered decoupling throughout the entire process, thereby achieving bidirectional reconciliation and significantly improving the reconciliation efficiency in practical applications.

The invention relates to the technical field of ecological environment monitoring and natural resource asset evaluation, and discloses an ecological product value realization and accounting method based on VEP accounting. The method comprises the following steps: setting an ecological self-maintenance reference threshold in a digital grid model; performing time domain waveform shaping on the low-frequency remote sensing data by using the high-frequency environment driving factor, and reconstructing a high-frequency background value; constructing a geographic topological impedance matrix, and performing spatial weighted correction on the instantaneous deviation of the ground monitoring data based on the minimum cumulative resistance distance; a hysteresis comparison logic and a dead zone control mechanism are introduced, and effective output states exceeding a reference threshold value are screened; integral is carried out on the net physical quantity of the effective time period, and when the accumulated value reaches the standard transaction package quota, a digital warrant is generated. According to the method, through space-time dual reconstruction and steady-state screening, the problems of multi-source data frequency mismatch and complex terrain interpolation deviation are solved, and accurate quantification and digital circulation of the ecological overflow value are realized.

This invention provides a carbon footprint accounting method, system, device, and medium based on optimal allocation, including: acquiring accounting data and a historical score matrix, and determining a factor score set based on the accounting data; acquiring a weight matrix corresponding to all allocation methods, adaptively optimizing the weight matrix based on the accounting data to obtain an optimized weight matrix, and then calculating a comprehensive practicality score corresponding to each allocation method based on the optimized weight matrix and the factor score set; calculating a selection threshold based on the historical score matrix, allocating the accounting data using allocation methods with a comprehensive practicality score greater than the selection threshold, and performing vehicle carbon footprint accounting based on the allocation results. This invention solves the problem in the prior art where it is difficult to determine the most suitable data allocation method to be used in the carbon footprint accounting process, resulting in an inaccurate final carbon footprint accounting structure.

This invention discloses a method for statistical accounting of carbon emissions throughout the entire life cycle of highways, belonging to the field of carbon emission accounting technology. The method includes: dividing the entire life cycle of a highway into multiple stages and dynamically defining the accounting boundaries of each stage based on spatiotemporal dimensions; setting carbon emission accounting indicators for all types and collecting multimodal data corresponding to each stage; building a hierarchical computing architecture based on edge-cloud collaborative technology to calculate the carbon emissions of each stage, and using a virtual highway model that can learn and update online to verify the carbon emission accounting results; and drawing a carbon footprint heatmap based on the carbon emission accounting results to display the spatiotemporal evolution process. This invention covers the construction, operation, and demolition stages of the entire highway life cycle, ensuring the comprehensiveness and systematic nature of the accounting results; employing multiple data sources and collection methods, combined with corresponding accounting methods, ensures the accuracy and reliability of the accounting results, providing a scientific basis for the low-carbon construction and operation of highways.

The application provides a blockchain accounting method and device, electronic equipment and storage medium, and belongs to the technical field of communication. The method comprises the following steps: a Fabric platform determines a target block to be accounted; the Fabric platform executes at least two target operations in parallel based on a dynamic thread pool and / or executes at least two types of sub-operations in parallel, wherein the at least two target operations correspond to different target blocks respectively, and the at least two types of sub-operations belong to the same target operation; all or part of threads in the dynamic thread pool are used to execute the at least two target operations, and the target operation is used to realize the accounting processing of the target block. Through parallel processing of the accounting processes between different blocks and / or parallel processing of the processes between the same block, the utilization rate of resources is improved, the thread pool supporting dynamic expansion is supported, the thread resources are reused, the execution efficiency of the business logic is improved, and the overall performance of the Fabric platform is improved.

The invention provides a carbon emission reduction accounting method and system based on multi-modal uncertainty quantization, and relates to the technical field of carbon emission reduction accounting, and the method comprises the following steps: collecting and preprocessing the multi-modal data of a reconstructed building, and obtaining a preprocessed multi-modal data set; uncertainty modeling is carried out on the preprocessed multi-modal data set, and uncertainty distribution is obtained; based on the preprocessed multi-modal data set and uncertainty distribution, performing inversion by adopting a Bayesian framework to obtain a multi-modal data posterior probability; and performing Monte Carlo simulation on the posterior probability of the multi-modal data to obtain an uncertainty weight, and calculating the carbon emission reduction based on the uncertainty weight. According to the method, quantitative modeling is carried out on the uncertainty of the multi-modal data, the probability transmission and fusion of the uncertainty are realized by using the Bayesian framework, and finally the carbon emission reduction amount accounting result with the confidence interval is output, so that the scientificity and the credibility of the accounting are remarkably improved.

This invention discloses a method and system for breaking down and calculating campus recipes with volume, belonging to the field of data processing technology. The method and system include the following steps: S1, acquiring the execution data of the recipes with volume and performing weight semantic labeling and normalization; S2, constructing the recipe penetration relationship and evaluating the convergence of the weight semantic mapping; S3, identifying the calculation start point and calculation end point, generating ingredient nutritional contribution vectors, and constructing a recipe calculation dataset; S4, evaluating the consistency recursion verification between the current calculation link and the execution link, identifying abnormal link states, and generating calculation behavior labels. This invention effectively improves the accuracy, continuity, and traceability of the breakdown and calculation of recipes with volume, solving the problems of inconsistent data definitions, disconnected links, mixed use of weight semantics, and difficulty in backtracking calculation results.

The invention discloses a silicon smelting enterprise carbon emission accounting method based on multiple purposes, and belongs to the technical field of carbon emission accounting. According to the method, a two-dimensional accounting matrix including a production system dimension and an emission link dimension is constructed, and accounting units in the two-dimensional accounting matrix are dynamically activated by designing a unit activation function and a parameter mapping function for different application scenes; constructing a general carbon emission accounting model which is suitable for different scenes and is easy to explain based on the activated two-dimensional accounting matrix; based on the general carbon emission accounting model, designing a carbon emission calculation function in the general accounting model; and constructing an industrial silicon product carbon strength calculation formula in a specific scene. According to the method, the condition that the carbon emission accounting requirements of the silicon smelting enterprise are different under different application scenes such as enterprise carbon transaction, industry carbon management and control and product carbon footprint is fully considered, and a multi-demand response and flexible and adaptive carbon emission accounting technical system is formed by constructing the modular accounting unit and the configurable matrix model.

The invention discloses a low-carbon park operation stage carbon emission dynamic accounting method, system and device and a storage medium, and relates to the technical field of low-carbon park carbon emission accounting and management, and the method comprises the steps: collecting park data in real time, employing a clustering algorithm to classify parks, and automatically matching the classes of new parks; based on the result of automatic category matching of the new park, a multi-energy flow coupling operator model is constructed, the coupling influence between energy sources is quantified, and a compensation mechanism is started in case of extreme weather or equipment faults; on the basis of the compensated equipment parameters, performing real-time parameter correction on the multi-energy flow coupling nuclear operator model by using a rolling time domain least square method; accounting the real-time consumption condition of the renewable energy sources in the park based on the result after parameter correction and the real-time data; accurate accounting and dynamic management of carbon emission of the low-carbon park are achieved, the energy utilization efficiency is improved, low-carbon benefits are accurately evaluated, and a scientific basis is provided for park emission reduction and energy structure optimization.

The invention discloses a product carbon footprint accounting method, an accounting system and a terminal. The method comprises the steps that a constraint tree-shaped data model is constructed and comprises root nodes, middle nodes and leaf nodes only associated with carbon activity data, and upper-layer node data is generated by recursively aggregating lower-layer nodes; establishing a multi-level cache architecture corresponding to the model level, wherein the multi-level cache architecture comprises a basic data cache layer and an aggregation result cache layer; when leaf node data is changed, cascade failure processing is executed, corresponding basic caches are cleared away, and affected aggregation caches are cleared away step by step according to a tree structure; when an accounting request is responded, the cache is queried preferentially, and if the cache is not hit, calculation is performed according to the leaf-to-root sequence and the cache is backfilled. According to the method, a three-level cache and cascade failure mechanism is utilized, the repeated query response time is reduced to a millisecond level, and the time consumption of full-life-cycle accounting is reduced by 50%-70%. Meanwhile, the platform adopts the basic flow quantity multiplied by the characterization factor for calculation, so that the calculation accuracy and transparency are improved, and the international calculation standard is met.

The application discloses a kind of based on multi-source satellite's straw comprehensive utilization rate remote sensing accounting method, belong to satellite remote sensing image identification classification technical field, it includes the following steps: S1, according to multispectral satellite remote sensing monitoring data, using context method dynamically obtains straw burning fire point information;S2, according to the satellite image of sentinel No. 2, using multiband threshold technology, the dynamic classification of cultivated land straw stock is carried out;S3, according to the satellite image of sentinel No. 2, extract straw burning fire black spot;S4, comprehensive straw burning fire point, cultivated land straw stock and burning black spot, calculate straw comprehensive utilization ratio.The application constructs straw burning fire point and black spot identification and straw state classification technology by fusing multiscale multispectral satellite remote sensing data, accurately statistics straw returning to field utilization and off field utilization, make up the limitation that traditional account method is insufficient in coverage or the accuracy of statistics data is relatively low and can not master the real straw comprehensive utilization level.

The application provides a whole-cycle engineering cost dynamic accounting method and system based on BIM and block chain, relates to the technical field of whole-cycle engineering cost dynamic accounting, and collects real-time prices of building materials, bill of quantities, on-site inventory, temperature and humidity, and progress data, associates price and quantity-related data sets, standardizes the first data set, integrates on-site data to obtain the second data set; then the initial cost data set is obtained by fusing the two, the cost trend is predicted by using the gradient boosting tree algorithm; finally, the final cost data set is obtained by comparing the prediction result with the BIM parameter and the block chain historical data through the consensus mechanism, and is written into the block chain, realizing the whole-cycle engineering cost dynamic accounting, which can integrate multi-source engineering data, combine the gradient boosting tree prediction and the block chain consensus verification, and realize the whole-cycle engineering cost dynamic precise accounting based on BIM and block chain.