43results about How to "Guarantee sustainable development" patented technology

The invention belongs to the technical field of enterprise financial management, and particularly relates to an intellectualization-based financial integrated management system, which constructs a reference budget reasonable interval of each auditing project through reference project comparison and market prediction change of each auditing project so as to evaluate the rationality of a planned budget amount uploaded by each auditing project principal, thereby improving the management efficiency. After it is determined that the planned budget amount of each auditing project is reasonable, according to the priority coefficient and the risk level coefficient of each auditing project, arranging a corresponding budget payment sequence, and on the basis of the financial funds of the target enterprise in the future preset period, making a project budget scheme of the target enterprise in the future preset period. And the budget execution condition of each auditing project at each accounting time point is collected, the regulation and control requirements of the project budget scheme of the target enterprise in the future preset period are judged, and corresponding dynamic regulation and control are performed, so that effective cooperation of enterprise financial budget and accounting is realized, and the financial decision quality and the operation benefit of the enterprise are further guaranteed.

The invention discloses an aquaculture monitoring method and system based on a multi-modal sensing technology, and relates to the technical field of aquaculture, a plurality of sensors are integrated according to the layout of an aquaculture farm and the flowing condition of a water body, and a multi-modal sensor array is formed; the multi-mode sensor array is used for regularly collecting water body monitoring data; segmenting the water body monitoring data according to a preset time period, and extracting monitoring sample data; integrating the monitoring sample data by using a data fusion algorithm to form a multi-dimensional monitoring data set; a self-adaptive fusion mechanism is introduced to adjust a fusion strategy according to growth environment characteristics of different aquatic products; and processing the multi-dimensional monitoring data set by adopting a deep learning technology to obtain a monitoring result. The aquatic product and water quality parameters are comprehensively evaluated, the monitoring efficiency and accuracy of the environment and water quality are effectively improved, and the survival rate and quality of the aquatic product are improved.

The invention discloses a coal mining vegetation disturbance analysis method based on long-time-sequence multi-source data, and relates to the technical field of mining area ecological monitoring and evaluation.The coal mining vegetation disturbance analysis method comprises the steps that on the basis of preprocessed mining area long-time-sequence spectral image data, a vegetation classification map is obtained through principal component analysis in combination with a classification algorithm; based on the vegetation classification map, obtaining a vegetation health index, evaluating the vegetation health condition and the vegetation change trend of the mining area, and obtaining vegetation health state time sequence data; based on the vegetation health state time sequence data, obtaining high-quality vegetation comprehensive data; constructing a vegetation state prediction model based on an LSTM model; and predicting a future vegetation state through a vegetation state prediction model based on the high-quality vegetation comprehensive data. According to the method, through an efficient multi-source data fusion mechanism and an advanced LSTM time sequence prediction technology, the accuracy and comprehensiveness of mining area vegetation state evaluation are remarkably improved.

The invention discloses a beneficiation method for comprehensive recovery of lithium beryllium resources in fluorite tailings, and belongs to the technical field of beneficiation. According to the method, according to the surface characteristic difference of fluorite associated lithium beryllium minerals, firstly, a metal organic complex and fatty acid are adopted as fluorite and beryllium mineral co-enrichment composite collecting agents, fluorite and beryllium minerals are floated preferentially, and then fluorite and beryllium concentrates are further floated and separated through the beryllium mineral inhibition principle; and the bulk flotation tailings are activated by high-valence metal ions and then subjected to lithium flotation, and lithium concentrate is obtained. By means of the method, qualified metallurgical-grade fluorite and lepidolite concentrate with the Li2O grade being 1.2% can be obtained, the CaF2 recovery rate of 55% or above and the Li2O recovery rate of 65% or above can be achieved, meanwhile, beryllium concentrate with the BeO grade being 2.0% and the recovery rate being 40% can be produced, deep comprehensive recovery of fluorite and associated lithium beryllium resources in fluorite tailings is effectively achieved, and the method is suitable for industrial production. And the method has good social value and economic benefit.

The invention belongs to the technical field of compressed air energy storage, and discloses a salt cavern compressed air energy storage reservoir stability grade evaluation method and system, and the method comprises the steps: obtaining salt rock physical and mechanical parameters, stratum structure parameters and salt cavern internal structure parameters; selecting a stability evaluation index of the salt-cavern compressed air energy storage library; establishing a three-dimensional geomechanical model of the salt cavern energy storage library and performing simulation calculation; constructing an evaluation model; determining an index weight value of the stability of the salt-cavern compressed air energy storage library; calculating an evaluation grade; and adjusting and optimizing operation parameters of the salt cavern energy storage bank. According to the method, by providing a systematic quantitative analysis process and a unified evaluation index system, the accuracy and reliability of stability evaluation of the salt-cavern compressed air energy storage library are remarkably improved, and an important technical support is provided for development and application of a salt-cavern compressed air energy storage technology. Important technical support is provided for development and application of a salt cavern compressed air energy storage technology, and commercialization and large-scale development of the technology can be promoted.

The invention provides an intelligent financial management system based on data feature analysis, and relates to the technical field of financial management. The intelligent financial management system based on data feature analysis comprises a data acquisition module used for collecting various financial data inside and outside an enterprise; the data preprocessing module is used for carrying out standardization processing on the financial data; the feature extraction and analysis module is used for carrying out feature extraction and analysis on the preprocessed financial data; the model building and training module is used for building a prediction model based on the extracted features and training the model by using historical data; the financial management module is used for realizing comprehensive management of enterprise finance based on a feature analysis result; and the decision support module is used for presenting results of feature analysis and financial management to an enterprise manager in a visual form. The intelligent financial management system not only can improve the financial management efficiency of an enterprise and reduce the operation cost, but also can enhance the market competitiveness and adaptability of the enterprise.

The invention discloses a medical alliance chain dynamic security resource configuration method, and relates to the technical field of communication, and the method comprises the following steps: counting a plurality of nodes in a medical alliance chain node network architecture, marking the nodes as link nodes, monitoring the operation state of each link node based on a preset dynamic monitoring period, and sending the monitored operation state to a server; and analyzing the comprehensive load evaluation index value of each link node, comparing the comprehensive load evaluation index value with a preset operation load index threshold value to generate an operation load evaluation label of each link node, and processing according to the operation load evaluation label of each link node to obtain the number of redundant backup nodes of each link node. According to the medical alliance chain system resource allocation method and system, accurate allocation of medical alliance chain system resources can be achieved, a resource allocation strategy and a redundant backup node starting mechanism can be adjusted according to the real-time load condition of each link node, and the operation efficiency and stability of the whole medical alliance chain system are improved.

The invention relates to the technical field of power systems, and discloses a half-wavelength controllable tuning method under the background of a dual-carbon and novel power system. Comprising the following steps: system evaluation and demand analysis: collecting power grid information and fusing dual carbon and novel power system demands to determine a tuning target and key parameters; designing a half-wavelength tuning strategy, determining tuning parameters by using a particle swarm optimization algorithm, formulating the strategy, and performing simulation optimization; selecting and configuring half-wavelength controllable equipment, evaluating performance indexes, selecting equipment, and reasonably configuring, installing and debugging; system integration and communication network construction: integrating equipment and constructing a reliable communication network to ensure information transmission; tuning implementation and monitoring are carried out, a control system is developed to send instructions, data are collected and analyzed to evaluate performance, and optimization is fed back according to results. According to the invention, the stability and adaptability of the power grid are enhanced, the intelligent development is promoted, the resource configuration and structure are optimized, the safety and sustainable development are guaranteed, and the challenges of dual-carbon and novel power systems can be effectively handled.

The invention relates to the field of soil management, and discloses an automatic management method for a soil moisture content monitoring sensor in combination with an internet of things technology, which comprises the following steps of: monitoring and analyzing soil moisture content data in real time through the soil moisture content monitoring sensor so as to determine irrigation optimization schemes on different target soil sub-regions; and after the irrigation optimization scheme is output, the irrigation optimization effect is analyzed, and finally, the target soil sub-region with the problem is adjusted based on the analysis result. And meanwhile, abnormal real-time analysis and correction are carried out when the soil moisture content monitoring sensor monitors soil moisture content data. According to the invention, soil moisture content data of soil can be monitored in real time through the soil moisture content monitoring sensor, so that the agricultural production is refined and intelligent, and the purposes of improving the agricultural production efficiency and guaranteeing the agricultural sustainable development and the agricultural product quality are achieved.

The invention discloses an annual double-cropping disaster prevention and high yield method for wheat and corn. The method comprises the following steps: S1, wheat sowing regular period and sowing land preparation; s2, wheat seed treatment, wherein high-quality seeds are selected and mixed with tebuconazole and imidacloprid; s3, wheat sowing operation, wherein drill sowing is adopted; s4, preparation before corn sowing, wherein corn seeds are soaked with a solution containing nitrogen-fixing bacteria and amino acid before sowing; s5, no-tillage treatment is conducted after wheat harvesting, a specific microorganism straw degradation agent is sprayed, and straw is smashed and scattered during harvesting; s6, corn seed treatment and sowing regular period; s7, corn sowing, wherein a seed and fertilizer simultaneous sowing machine is adopted for sowing; s8, corn field management; s9, meteorological disaster prevention; s10, disease and pest control; and S11, soil management. The method is remarkably superior to conventional and other planting methods, the yield and stability are effectively improved, the disaster resistance is enhanced, the water resource utilization rate is increased, a scientific and efficient scheme is provided for annual double cropping planting of wheat and corn, and agricultural sustainable development is assisted.

The invention relates to the technical field of communication operation, and particularly provides a customer arrearage payment reminding method and device, and the method comprises the following steps: S1, defining a payment reminding strategy based on the actual service current situation of an operator; s2, in combination with a service support system of an operator, perfecting execution actions of the system; s3, defining an arrearage payment reminding rule; s4, defining a timed task executed by the payment reminding action; s5, intervening bad users in advance; s6, setting a committed repayment function; s7, setting an installment payment function; s8, statistical analysis of arrearage records is carried out; and S9, based on an automation function, batch import of arrearage user data is provided. Compared with the prior art, the debt recovery rate can be improved, the payment reminding cost can be reduced, the user relationship can be maintained, and the financial health and sustainable development of operators can be guaranteed.

The present invention provides a method for erosion gully control, which relates to the technical field of erosion gully control, including using a drone to collect images of a to-be-controlled area, generating a three-dimensional scene image of the to-be-controlled area; determining various types of construction control areas based on the gully head, gully tail and gully; performing corresponding control construction on various types of construction control areas; setting a number of monitoring cycles, performing data collection in each monitoring cycle, and evaluating the erosion gully control effect based on the data collection results. The present invention solves the technical problem that the existing erosion gully control engineering measures require manual field investigation to obtain a two-dimensional image of the to-be-controlled area before engineering planning, which is time-consuming and labor-intensive, and the image finally obtained usually has a large error, which directly affects the final control effect. At the same time, after the construction of the control project is completed, there is a lack of monitoring of the control project, and timely feedback and timely adjustment of the control effect cannot be made. It is only static control, and the control effect cannot be scientifically evaluated.

The invention discloses a cotton aphid condition evaluation method based on a hyperspectral technology, which comprises the following steps: dividing a cotton test field into a destructive sampling area and a non-destructive sampling area, and sampling; measuring cotton aphid quantity data, cotton hyperspectral data after aphid damage, and cotton growth index and physiological index data; analyzing the obtained data to obtain a spatial and temporal distribution rule of the number of cotton aphids, change characteristics of hyperspectral reflectivity of cotton after aphid damage, and change characteristics of growth indexes and physiological indexes of cotton; and processing the obtained hyperspectral data of the cotton subjected to aphid damage, screening a spectrum sensitive wave band, and constructing and verifying a cotton aphid quantity monitoring model. According to the evaluation method, a scientific theoretical basis and method are provided for obtaining cotton field insect pest situation information, a new thought is provided for scientific management of cotton insect pests, cotton aphid damage can be effectively relieved, sustainable development of the cotton industry is guaranteed, and the goals of high quality and high yield are achieved.

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 discloses a method and a system for predicting the solid-liquid two-phase distribution capability of petroleum hydrocarbon and derivatives thereof, and relates to the technical field of petroleum hydrocarbon pollution prevention and control. And when the to-be-detected petroleum hydrocarbon pollutants are in the application domain of the quantitative structure-activity relationship regression model of the molecular structures of the petroleum hydrocarbons and the derivatives thereof and the solid-liquid two-phase distribution capability, inputting the molecular structure descriptor matrix of the to-be-detected petroleum hydrocarbon pollutants into the regression model to obtain predicted values of the solid-liquid two-phase distribution capability parameters of the to-be-detected petroleum hydrocarbon pollutants. Compared with the conventional method for measuring the soil adsorption coefficient, the technical scheme for predicting the solid-liquid two-phase distribution capability of the petroleum hydrocarbon and the derivative thereof is simple and convenient to operate, time-saving, low in cost, accurate in prediction and capable of rapidly predicting the solid-liquid two-phase distribution capability of the petroleum hydrocarbon and the derivative thereof. The method can provide an important tool for efficiently and accurately guiding the petroleum hydrocarbon pollution prevention and control in the petroleum and petrochemical industry, and is of great significance for guaranteeing the sustainable development of the petroleum industry.

The invention relates to the field of space debris monitoring and early warning, and provides a method, a device, equipment and a medium for detecting the detectability index of laser ranging equipment, and the method comprises the steps: obtaining the detection parameters of the laser ranging equipment, and calculating the theoretical detectability index of the laser ranging equipment at a reference distance according to the detection parameters; selecting a plurality of to-be-detected targets; performing tracking observation on each to-be-measured target through the laser ranging device to obtain laser ranging data, and calculating an actual detection distance from each to-be-measured target to the laser ranging device according to the laser ranging data; calculating the target equivalent size of each to-be-detected target at the reference distance based on the actual detection distance; and judging whether the theoretical detection index is qualified or not based on the target equivalent size of each to-be-detected target.

The invention specifically relates to the technical field of computers and the technical field of biological information, and discloses a method and a system for constructing a multi-dimensional database for image recognition of foreign and local diseases and insect pests, and the method comprises the steps: obtaining basic information, hazard feature information and other information of foreign and local diseases and insect pests through self-sampling and public resource collection and processing; analyzing the collected original data set and the scanning image set, and carrying out image preprocessing, data set division, model evaluation and improved construction on the three-dimensional internal and external models and the image recognition model; a foreign and local pest and disease damage multi-dimensional information access rule is constructed, a foreign and local pest and disease damage image recognition multi-dimensional database is developed, data support can be provided for research and development of technologies such as rapid and accurate detection and one-time detection, and the system can become a port entry plant quarantine information support system. The method can certainly play an important role in improving port quarantine and extraneous potential pest control ability, effectively reducing extraneous quarantine pest introduction and protecting agricultural production and ecological safety.

The invention discloses a railway communication integrated network management method based on a cloud architecture, and relates to the technical field of network management. The method comprises the following steps: deploying a railway communication integrated network management architecture: collecting real-time data from each communication network node and equipment through a data collection layer, carrying out cleaning processing, calculation, association, analysis and mining on the collected data through a data layer, and establishing a basic information database, a resource database, an alarm database, a performance database and an exchange sharing database; the data application layer is used for providing an integrated portal, extension applications and a data exchange sharing application, and the extension applications comprise a topology application, an alarm application, a performance application and a resource application; the data exchange sharing application comprises a data resource directory application, a data quality application and a data exchange sharing application, and data display is performed through a cloud desktop terminal, a large display screen, an internal interface and an external interface in the display layer.

The invention belongs to the field of aerospace technology, and relates to a comprehensive assessment method for collision risk of a low-orbit supergiant constellation. The method comprises the following steps: standardizing parameters of different dimensions based on fuzzy set theory, and constructing a satellite data factor set with a unified unit; performing hierarchical decomposition on each indicator based on a hierarchical analysis method, and determining the indicator weight; performing fuzzy evaluation on each single indicator, and constructing a fuzzy evaluation matrix and an evaluation set; integrating the fuzzy evaluation results of multiple single factors into a comprehensive evaluation result, and establishing a comprehensive evaluation model; using the established comprehensive evaluation model, performing an overall assessment on the collision analysis of each satellite, and obtaining a collision warning comprehensive score; the invention combines multiple satellite collision risk parameters into a single risk measurement value through a fuzzy comprehensive evaluation method, thereby improving the scientificity and reliability of the assessment result, and providing a systematic and comprehensive assessment framework for collision warning of a low-orbit supergiant constellation.

The invention discloses a wave dynamic weather typing method based on environmental field feature extraction, and belongs to the technical field of coast and ocean engineering. Comprising the following steps: acquiring n-year time sequence historical data of wave elements of a certain station, and acquiring n-year time sequence historical data of a wind field and a sea level air pressure field near the station; identifying independent wave events from the time sequence wave height sequence based on a five-day time window, and screening relatively strong independent wave events as to-be-classified events according to a threshold method; the regional correlation between the wind speed and the independent wave process peak element under different time lag conditions is explored to determine the time domain and the space domain of the wind field and the sea level air pressure field for classification; and inputting the determined wind field and the sea level air pressure field into an SOM + K-means clustering algorithm to obtain a weather typing result of the independent wave event. According to the method, the blindness of initial clustering center selection of the K-means clustering algorithm is improved, and the method has the advantages of short convergence time, high result stability and the like.

The invention discloses an apparent sulfur-free color protection method for mature tremella aurantialba sporocarp, and relates to the technical field of edible mushroom color protection methods. The method comprises the following steps: preparing a composite color fixative from 30 mg / mL food-grade L-malic acid and citric acid according to a mass ratio of 2: 1 or 1: 2, uniformly cutting tremella aurantialba fruiting bodies into blocks, and soaking the blocks in the composite color fixative for 20 minutes. According to the method, the food-grade additive with low price and high safety is used, and the method has the advantages of simplicity and convenience in operation, low cost, no sulfur dioxide and the like. The optimal ratio of the composite color fixative provided by the invention has a remarkable color protection effect on the color of the fruiting bodies of the tremella aurantialba in the mature period, solves the problem of color change in the storage and processing processes of the fruiting bodies of the tremella aurantialba, prolongs the shelf life, and further improves the value of the tremella aurantialba in subsequent development and application.

The invention relates to the technical field of safety early warning, in particular to an offshore equipment safety early warning system based on data analysis, which comprises a data acquisition module, a first determination module, a second determination module, a judgment module, an adjustment module and an early warning module. By collecting and analyzing key data of the wind power platform in real time, potential risks of the wind power platform under the conditions of sea condition change, uneven stress or structural damage and the like can be accurately recognized, the system effectively deals with fluctuation of an external environment by dynamically adjusting the height and the interval of the platform, structural abnormity is reduced, and the reliability of the system is improved. According to the method, finer safety early warning can be realized, an abnormal platform is identified and positioned in advance, the safety, stability and operation and maintenance efficiency of the wind power platform are greatly improved, and finally, a powerful guarantee is provided for sustainable development of the offshore wind power industry; the problems of insufficient early warning accuracy and slow response speed caused by complex change of the marine environment and limited sensor performance are effectively solved.

The invention relates to the technical field of automatic control of a power system, in particular to a coal power price linkage method for medium and long-term transaction of power of a thermal power enterprise and a coal enterprise, which comprises the following steps: S1, collecting data; s2, calculating a reference coal price index corresponding to the coal-fired power generation reference on-grid electricity price; s3, calculating a floating transaction price; s4, calculating the fluctuation ratio of the coal price index; s5, calculating monthly concentrated bidding transaction price fluctuation rates of adjacent three months; s6, calculating a contract floating clause price; s7, determining a reference transaction price; s8, calculating a transaction electricity price; s9, settlement and default processing: the thermal power enterprise and the coal enterprise perform settlement according to the transaction electricity price, and if one of the enterprises breaks a default, the default party needs to pay the electricity price floating clause cost; according to the invention, the transaction risk of thermal power enterprises and coal enterprises is effectively reduced, and the performance of long-term contracts in power and the safety and stability of power supply are ensured.

The embodiment of the invention relates to the field of seat management, and discloses a seat protection data synchronization link optimization method, system and device and a storage medium, and the method comprises the steps: carrying out the delay segmentation analysis of the response time of a seat protection message, and obtaining the time consumption condition of each message response time period; obtaining system workload characteristics; establishing a seat protection message response delay calculation model; calculating seat protection message response time delay through a seat protection message response time delay calculation model based on system workload characteristics; analyzing key factors influencing the message response delay based on the time consumption condition of each message response time period and the seat protection message response delay; and optimizing a seat protection message transmission link according to the key factors influencing the message response delay. According to the invention, one-seat multi-occupation and reservation rollback generated in a seat protection process are basically eliminated, and sustainable development of a seat selection service is guaranteed.

The invention relates to the technical field of land utilization layout, and particularly discloses an ecologically fragile area land utilization layout optimization method, system, device and medium, the method comprises the following steps: constructing a multi-objective development optimization function for representing the ecologically fragile area land utilization layout, and calculating a Patto solution set of the multi-objective development optimization function; and based on the Patto solution set, determining Patto solutions corresponding to various ecological development scenes, and determining the land utilization optimization layout of each ecological development scene according to the constraint condition of the land utilization layout of the ecologically fragile area and the Patto solution corresponding to each ecological development scene. According to the method, the problem of multi-target collaborative optimization configuration of land utilization can be better solved, and decision support is provided for promoting multi-target collaboration of land utilization in an ecologically fragile area and guaranteeing sustainable development of the area.

The present invention discloses a geological method and device for intelligent prediction of coal mining subsidence, and relates to the technical field of prevention and control of mining or geological disasters and geological environmental problems. The geological method for intelligent prediction of coal mining subsidence includes: collecting geological information, hydrological information, mining activities and other geological data that restrict surface subsidence in the mining area; using InSAR monitoring technology to obtain high-precision surface deformation time series data of the mining area; combining geological data and surface deformation data, and predicting coal mining subsidence based on a kernel algorithm. The geological method for intelligent prediction of coal mining subsidence provided by the present invention realizes intelligent prediction and analysis of surface subsidence in the mining area, improves the accuracy and efficiency of coal mining subsidence prediction, provides a scientific basis for the control and management of coal mining subsidence, helps to reduce the impact of mining activities on the environment, and ensures the safety and sustainable development of coal mining, and has good application value and promotion prospects.

The invention relates to a crossbreeding method for babylonia lutosa and babylonia taiwan. The cross breeding method comprises the following steps: putting Babylonia taiwanensis and Babylonia lutosa into independent units in a dark environment for breeding, hybridizing, collecting oocysts, disinfecting the oocysts, and hatching to obtain Babylonia lutosa planktonic larvae; a fertilizer water agent and a nutritional agent are applied to culture water of babylonia planktonic larvae, unicellular algae are mixed for culture, and the babylonia planktonic larvae are metamorphosed and attached to form juvenile snails. Compared with the existing Babylonia taiwanensis and Babylonia lutosa, the Babylonia lutosa hybrid fry bred by the crossbreeding method not only has more excellent metamorphosis rate, but also has significantly improved fertilization rate, egg laying amount, hatching rate and larva survival rate.

The invention discloses a financial service big data warehouse management system, and relates to the technical field of data warehouses, and the system comprises an inventory information monitoring module which is used for carrying out the warehouse-in and warehouse-out recording of existing goods in a warehouse; and the goods demand analysis module is electrically connected with the inventory information monitoring module, and the goods demand analysis module is used for analyzing goods demands according to the inventory information in combination with the big data information. According to the financial service big data warehouse management system, through the inventory information monitoring module, the system can automatically record warehouse-in and warehouse-out conditions of goods in a warehouse in real time, dependence of manual operation is greatly reduced, the management efficiency is improved, the goods demand analysis module combines inventory information and external big data information, and the management efficiency is improved. The goods demand is accurately predicted, the accuracy of demand prediction is improved, and enterprises can better grasp market trends.

The present invention belongs to the technical field of enterprise financial management, and specifically is a financial integrated management system based on intelligence. Through the comparison of reference projects of each audit project and the market forecast changes, it constructs a reasonable range of reference budgets for each audit project to evaluate the rationality of the planned budget amounts uploaded by the person in charge of each audit project. After determining that the planned budget amounts of each audit project are all reasonable, the corresponding budget allocation sequence is arranged according to the priority coefficient and risk level coefficient of each audit project. On the basis of the financial funds of the target enterprise in the future preset period, a project budget plan for the target enterprise in the future preset period is formulated, and the budget execution status of each audit project at each accounting time point is collected. The control needs of the project budget plan for the future preset period of the target enterprise are judged and corresponding dynamic control is performed, so as to realize the effective coordination of the enterprise's financial budget and accounting, and thus ensure the financial decision-making quality and operating efficiency of the enterprise.

The present application relates to the field of marine ranching environment monitoring, and more particularly to a marine ranching environment monitoring method. Collecting a marine ranching water surface image, obtaining original pixel values of each band; performing image preprocessing on the marine ranching water surface image to obtain normalized pixel values of each band; introducing an algae spectral index calculation algorithm based on the normalized pixel values of each band to generate an algae spectral index; based on the algae spectral index, marking algae regions and non-algae regions and generating a binary image; based on the binary image, calculating the algae coverage; based on the normalized pixel values of each band and the binary image, calculating the water turbidity of the non-algae region through a turbidity spectral index algorithm; comparing the algae coverage and the water turbidity with the algae coverage threshold and the water turbidity threshold respectively to generate an early warning signal. The problems of being difficult to accurately segment the algae region and being difficult to accurately reflect the water quality change of the non-algae region are solved.