46results about How to "Ensure systemic" patented technology

The invention relates to the technical field of electric line fault detection, and discloses a power transmission line fault early warning system and method based on big data driving, and the system comprises a state prediction module, a risk assessment module, an early warning decision module and a management execution module. The state prediction module constructs a prediction model by using historical operation data, environmental conditions and line parameters, and outputs future state indexes; the risk assessment module comprehensively considers multi-source information such as real-time operation data and historical maintenance records, and assesses a current fault risk index; the early warning decision-making module models the management process into a Markov decision-making process, and carries out early warning decision-making based on the output of the two modules; and the management execution module is responsible for managing and executing the decision result in real time. By comprehensively utilizing the big data technology, the accuracy and the real-time performance of power transmission line fault early warning are improved, the defects of a traditional fault management mode are overcome, and a powerful guarantee is provided for safe and stable operation of a power system.

The invention relates to the technical field of material storage management, in particular to a BIM-based construction site material monitoring management method and system. The method comprises the following steps: obtaining a construction project drawing; performing drawing information extraction on the construction project drawing to obtain construction project material information data and construction project structure data; performing construction project three-dimensional modeling on the construction project material information data and the construction project structure data to generate construction project three-dimensional modeling data; obtaining total construction material data; and carrying out material information modeling on the total construction material data by using a BIM technology to generate total construction material modeling data. According to the invention, accurate three-dimensional modeling, intelligent marking, regionalized storage and real-time allocation of the construction site materials are realized through the BIM technology, and the accuracy of construction site material monitoring management and the emergency response real-time performance are improved.

The invention relates to the technical field of gas concentration calculation, in particular to an anti-interference broadband cavity enhanced absorption spectrum inversion algorithm. On the basis of a traditional cavity enhanced absorption spectrum algorithm, a pseudo-absorption function is constructed and used for representing a non-gas absorption structure caused by lamp spectrum deformation in the gas concentration inversion process, so that interference caused by lamp spectrum deformation is separated from the gas absorption structure, and the gas concentration inversion accuracy is improved. The influence of lamp spectrum deformation on a gas concentration inversion result is effectively avoided, the dependence of a traditional cavity enhancement algorithm on the absolute stability of a light source is overcome, and the gas concentration can be accurately quantified. According to the method, the robustness and environmental adaptability of the broadband cavity enhanced absorption spectrum system can be effectively improved.

The invention provides an energy-saving and consumption-reducing intelligent control method and system for a pump set and a medium, and belongs to the technical field of industrial automation and big data. The method comprises the steps that pump set energy efficiency parameter information in a preset area in a preset environment is obtained, flow stability data, lift capacity data and pump set energy consumption data are extracted, and whether the flow stability and the lift capacity meet requirements or not is judged; and according to the flow stability data, the lift capacity data and the pump set energy consumption data in combination with the pump set pipeline layout characteristic data, a pump set energy efficiency index is obtained and corrected, a pump set energy efficiency correction index is obtained, and whether the pump set energy efficiency meets the requirement or not is judged. Important parameters of operation of the pump set are extracted and are subjected to variable monitoring respectively, then the influence on the energy efficiency of the pump set is evaluated integrally and is visually reflected through the energy efficiency index, and powerful data support is provided for maintaining high-efficiency operation and regular maintenance of the pump set.

The present invention relates to the field of automatic design optimization technology, and in particular to an automatic arts and crafts design optimization method based on intelligent data. The method comprises the following steps: obtaining user demand input data; performing part-of-speech analysis on the user demand input data to generate user demand input part-of-speech data; performing sentence segmentation on the user demand input data using the user demand input part-of-speech data to generate user demand input sentences; performing design creative description analysis on the user demand input sentences to obtain a creative description keyword cloud map; obtaining an arts and crafts database; performing an initial arts and crafts map design on the user demand input sentences based on the arts and crafts database to obtain an initial arts and crafts demand map; performing simulated iteration replacement on the initial arts and crafts demand map according to the creative description keyword cloud map to obtain a first arts and crafts demand update map. The present invention improves the intelligence, accuracy and efficiency of arts and crafts design optimization through intelligent data processing and analysis.

The invention relates to the technical field of lubricating oil analysis, in particular to a method and system for quantitative analysis of a lubricating oil additive. The method comprises the following steps: acquiring base oil data and lubricating oil additive data; performing mixed oil treatment based on the base oil data and the lubricating oil additive data to generate mixed lubricating oil additive data; performing mixed oil concentration detection on the mixed lubricating oil additive data to generate mixed oil concentration detection data; performing chromatographic column selection on the mixed lubricating oil additive data based on the mixed oil concentration detection data to generate chromatographic column selection data; and performing boiling point heating on the chromatographic column selection data to obtain mixed oil boiling point heating data. By optimizing data acquisition, chromatographic separation, component identification and quantitative analysis as well as result analysis and visualization, the accuracy of quantitative analysis of the lubricating oil additive is improved.

The invention discloses a portable vibration excitation device and method capable of controlling vibration source characteristics. The device comprises a bottom plate, a height fixing mechanism and a swing mechanism, the bottom plate is arranged on a test site, the height fixing mechanism is vertically and fixedly arranged on the bottom plate close to the edge side, one end of the swing mechanism is hinged to the upper portion of the height fixing mechanism, and the other end of the swing mechanism swings to knock a wood block arranged on the test site; the method comprises the steps that the shear wave frequency corresponding to the soil body type is obtained firstly, then the needed release height is calculated according to the relation between the shear wave frequency and the release height, then the device is assembled, the excitation hammer is released according to the calculated release height every time, and therefore the shear waves with the same frequency are generated every time knocking is conducted. The device overcomes the problem that the systematicness of the test cannot be guaranteed due to the fact that a wood block is manually knocked to excite shear waves in the prior art, not only can the characteristics of an excitation vibration source be controlled more accurately, but also the device has the advantages of being high in safety, convenient to assemble, easy and convenient to operate and the like.

The invention is suitable for the field of data security assessment, and provides a data center security assessment method and system, and the system comprises a scene library construction module, an event triggering and real-time monitoring module, an event level division recording module, and a summary report generation module. By establishing a scene library, various possible security events and disaster scenes are covered, and the comprehensiveness and systematicness of evaluation are ensured. And each scene is defined and classified in detail, so that the emergency response capability of the data center under different conditions can be comprehensively tested. And the scientificity and objectivity of the evaluation process are ensured by presetting evaluation indexes and result evaluation standards. Each security event and disaster scene has a clear evaluation standard, the evaluation result can be quantified, and the accuracy and repeatability of evaluation are ensured.

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

The invention relates to the technical field of nickel coil mechanical property detection, in particular to a nickel coil strip mechanical property evaluation method and system based on annealing and pickling, and the method comprises the steps: obtaining a nickel coil strip, obtaining an annealing temperature interval, obtaining a pickling time interval, carrying out the interval division of the annealing temperature interval and the pickling time interval, and obtaining an annealing temperature set and a pickling time set; the annealing temperature value is matched with each pickling time in the pickling time set to obtain an annealing and pickling matching set, annealing operation is performed on the nickel coil strip to obtain an annealed nickel coil strip, pickling operation is performed on the annealed nickel coil strip to obtain a pickled nickel coil strip, the initial mechanical property value is larger than or equal to a preset mechanical property threshold value, and the initial mechanical property value is larger than or equal to a preset mechanical property threshold value. The optimal comprehensive mechanical property value is extracted from the comprehensive mechanical property value set, and nickel coil strip mechanical property evaluation based on annealing and pickling is completed based on the optimal comprehensive mechanical property value. According to the invention, annealing and pickling process parameters can be optimized.

The invention belongs to the field of hydropower station equipment detection and evaluation, and particularly discloses a ball valve self-excitation risk evaluation method and system, and the method comprises the steps: obtaining ball valve self-excitation risk evaluation indexes, carrying out the arrangement and hierarchical division of the evaluation indexes according to a membership relation, carrying out the combined weighting through an analytic hierarchy process and an improved entropy weight method, and obtaining a risk evaluation result. Determining a weight vector of each level element of the criterion layer and the index layer; obtaining the original data of the operation states of a plurality of monitoring points of the index layer, preprocessing the original data, determining a fuzzy evaluation set of the preprocessed index data, and calculating a fuzzy evaluation result matrix of the fuzzy evaluation set by using a fuzzy function; calculating a fuzzy evaluation result of each level element of the criterion layer based on the fuzzy evaluation result matrix, the first weight vector and the second weight vector; and determining a scoring standard of the self-excitation risk level of the ball valve system to determine the risk level of the ball valve. According to the invention, the accuracy of risk detection and evaluation of the ball valve can be improved.

The invention discloses a power grid enterprise emergency plan system assessment method and system, a medium and equipment, and belongs to the technical field of emergency plan system assessment, and the power grid enterprise emergency plan system assessment method comprises the steps: constructing an emergency plan assessment index system; key risk indexes are identified through a fuzzy Delphi method; carrying out dynamic weight distribution on the key risk indexes based on a Bayesian best worst method; a fuzzy comprehensive evaluation method is combined with the maximum membership degree principle, and comprehensive evaluation is carried out on the emergency plan system; constructing a comprehensive risk early warning model, and calculating an early warning value of each index and an overall early warning level; and outputting an evaluation result and an early warning level. According to the method, comprehensiveness, systematicness, feasibility and practicability of emergency plan system evaluation indexes can be ensured, and emergency capability construction of power grid enterprises can be objectively and effectively evaluated.

The invention relates to the technical field of belt conveyors, in particular to a self-adaptive deviation rectifying belt conveyor and a method thereof.The self-adaptive deviation rectifying belt conveyor comprises a rack, a driven roller and a driving roller are rotationally installed at the two ends of the rack correspondingly, and a conveying belt is installed on the driven roller and the driving roller in a common transmission mode; a tail cylinder deviation rectifying device, a fixed upper carrier roller set, a lower carrier roller set and a turning section deviation rectifying device are installed on the machine frame. By integrating the tail barrel deviation rectifying device, the stop roller mechanism and the turning section deviation rectifying device, when the conveying belt deviates, the system can firstly perform preliminary constraint by the stop roller mechanism according to the severity, direction and reason of deviation, and then perform adjustment by the tail barrel deviation rectifying device and the turning section deviation rectifying device so as to correct the deviation; and then the supporting form is optimized through the carrier roller distance adjusting mechanism, the tension change and the deflection amount of the conveying belt are adjusted in real time through multi-dimensional cooperative adjustment, and it is guaranteed that the turning section of the conveying belt runs stably and smoothly for a long time.

The invention relates to the technical field of power planning, and provides a power market clearing mode evaluation method and device. The method comprises the following steps: constructing clearing mode evaluation indexes and carrying out standardization processing; a fuzzy analytic hierarchy process (FAHP) is adopted to calculate the subjective weight of the index, a CRITIC method is adopted to calculate the objective weight of the index, and the subjective weight and the objective weight of the index are integrated to obtain a comprehensive weight; and evaluating the power market clearing mode based on an improved matter-element extension model by using the obtained comprehensive weight. According to the method, a comprehensive weight is obtained by adopting a comprehensive subjective weighting method and an objective weighting method, and evaluation is carried out by utilizing an improved matter-element extendable power market clearing mode, so that evaluation of the power market clearing mode is realized, a scientific basis is provided for optimization and policy making of the power market, and more efficient and fair power resource allocation is facilitated to be realized.

The invention relates to the technical field of software engineering, in particular to a code detection method and device, electronic equipment and a storage medium, and aims to improve code detection efficiency and role perceptivity. Comprising the steps of obtaining a to-be-detected code and structured data of the to-be-detected code; the structured data is used for describing the function of the to-be-detected code; based on the task splitting agent and a plurality of preset detection angles, performing task splitting on the changed sub-codes and the structured data in the to-be-detected codes to obtain a plurality of detection sub-tasks corresponding to different detection angles; for any detection angle, executing a detection sub-task corresponding to any detection angle through a detection intelligent agent corresponding to any detection angle to obtain a detection sub-result corresponding to any detection angle; and inputting the plurality of detection sub-results and the information of the target detection role into the security field large model to obtain a target detection result of the target detection role corresponding to the to-be-detected code.

This application relates to the field of data processing technology and discloses an integrated sky-ground geological environment monitoring and assessment method and system. The method includes: integrating sky remote sensing, surface monitoring, and underground exploration data into a monitoring matrix, processing the data to generate a raw database; constructing a spatiotemporal standard field based on the database and fusing it to generate a correlation spectrum; decomposing the correlation spectrum to obtain element feature chains; constructing a coupled dynamic field based on the feature chains and analytically obtaining an evolutionary parameter set; establishing a risk assessment matrix based on the parameter set and analyzing to generate an early warning indicator system; and designing a governance plan by combining the early warning system and historical cases. This application achieves deep integration of space-based remote sensing data, surface monitoring data, and underground exploration data by constructing a unified spatiotemporal standard field, a multi-level feature transfer network, and a dynamic coupling model, thereby improving the accuracy and reliability of geological environment monitoring and assessment.

The present application belongs to the technical field of geological engineering monitoring, and particularly relates to a geological stability monitoring device for salt cavern energy storage, aiming to solve the problems of single monitoring dimension, existing blind area and insufficient sensitivity in identifying creep. The monitoring device is internally provided with a geological stability monitoring system, and the system comprises: a surface multi-source deformation sensing unit, a shaft deep layer strain detection unit, a microseismic global activity monitoring unit and a cavity shape sensing unit, which are used for collecting surface and deep multi-dimensional data; a geomechanics digital twin and evolution analysis unit, which constructs a mechanics model and dynamically inverts real-time data as a constraint boundary; a stability discrimination and risk early warning scheduling unit, which outputs an evaluation report based on the inversion result and triggers an early warning. Through the deep coupling of multi-dimensional full-space perception and mechanics model, the present application effectively reduces the perception blind area and improves the accuracy of salt rock creep risk prediction, thereby providing a technical guarantee for the long-term safe operation of the salt cavern energy storage power station.

This invention relates to the field of multispectral UAV grassland inspection and machine vision deep learning detection and segmentation algorithms. Specifically, it is a method for grassland spot detection and forage reseeding based on UAV multispectral imagery. The method involves a UAV equipped with a multispectral camera to acquire multispectral image data of grassland pastures. Professional remote sensing software is used to analyze and extract information on grassland cover and health status. Multiple deep learning algorithms are combined to detect and segment grassland spot areas, extracting information on bareness, coordinates, and size. Reseeding prescription data is generated based on the analysis results and optimized by considering soil conditions and climate factors. The prescription data is imported into the control terminal of a large agricultural UAV, which carries seeding and fertilization equipment, loading appropriate amounts of seeds and fertilizers for precise reseeding and fertilization. This method can effectively detect grassland spots, implement targeted forage reseeding, and promote the restoration and stability of the grassland ecosystem.

The invention discloses a method for determining the oil pipe lowering time of a shale gas well. The method comprises the steps that firstly, shaft pressure drops generated when a shale gas updip well and a shale gas downdip well are produced through a sleeve and an oil pipe are calculated respectively; 2, drawing an updip well three-dimensional curved surface drawing and a downdip well three-dimensional curved surface drawing which have the same coordinate system; thirdly, preliminary reference charts of the oil pipe lowering time of the updip well and the downdip well under any wellhead pressure are determined respectively; 4, determining a preliminary reference chart of the oil pipe descending time of the updip well and the downdip well under different wellhead pressures; fifthly, final reference charts of the oil pipe descending time of the updip well and the downdip well are obtained through combination; and 6, determining the oil pipe descending time according to the final reference chart of the oil pipe descending time. According to the method, the oil pipe descending time of any shale gas well can be determined, the technical problems that the oil pipe intervention time of the shale gas well is difficult to determine and a clear guidance method is lacked at present are solved, and important technical support can be provided for developers to accurately judge the oil pipe descending time of the gas well.

The invention provides an electric vehicle power limiting method and system based on an advanced power reduction strategy. The method comprises the following steps that the numerical value interval where the lowest battery cell voltage of a battery pack is located is judged in real time; if the lowest cell voltage is in the first interval, the power limiting operation is not executed; if the lowest cell voltage is in a second interval, executing a linear power reduction operation; if the lowest cell voltage is in a third interval, reducing the power to a first set value according to a set power reduction rate; if the lowest cell voltage is in a fourth interval, instantly reducing the power to a second set value; wherein the first interval, the second interval, the third interval and the fourth interval are continuous and full-range coverage intervals from large to small in sequence. The driving experience of a vehicle owner is improved, and irreversible damage caused by over-discharge of the battery is avoided.

The invention provides a personnel training management system, a training optimization method and apparatus, and an electronic device, and compared with the related technology, the embodiment of the invention can ensure that the talent training direction is consistent with the actual demand of an enterprise by analyzing the post demand of each department, thereby improving the training efficiency. The accurate matching can effectively reduce the talent loss rate and improve the recruitment efficiency; an employee cultivation plan is generated based on post requirements, so that the employees have skills and knowledge required for meeting the post requirements, and the working efficiency is improved; the potential evaluation module provides personalized occupational development plans for each staff; the training management module combines an occupational development plan with a training plan, and formulates a clear training plan; the training management module can effectively record and track the training progress of the staff, and ensure the systematicness and continuity of training; and the training evaluation module collects and analyzes training feedback data and continuously optimizes training contents and methods according to an analysis result, so that the overall training quality is improved.

The invention discloses a digital circuit mode mining method and system, and the method comprises the steps: S1, extracting logic gate unit information in a netlist, and constructing a directed acyclic graph; s2, traversing all nodes of the directed acyclic graph, and recording modes corresponding to the nodes and the number of the modes by using preset mode codes; s3, combining all the isomorphic modes, and performing descending sorting according to the number of the modes; s4, sequentially traversing the sorted isomorphic mode codes, traversing nodes, marking modes to which the nodes belong, updating logic performance functions of the modes, and rejecting the modes of which the mode node coverage rate is lower than a preset threshold value; s5, comparing the logic functions corresponding to the modes in the mode codes with the known unit logic performance function list one by one, checking whether the logic performance functions are equivalent or not, and recording the logic performance functions of the new modes and the mode codes of the logic performance functions; and S6, sequentially outputting new modes and the number thereof from small to large according to the output number of the modes. The method has the advantages of high digging efficiency and the like.

The application discloses a kind of intelligent anti-seismic structure optimization design method and system for high-rise building, it is related to high-rise building anti-seismic design technical field, including taking seismic intensity zoning, site category and fault distribution information, establish the working condition database considering multi-directional ground motion and soil-structure interaction in combination with ground motion time history and site survey parameters;Structure model is constructed in BIM platform and is imported frequency characteristics and load to generate preliminary design;Inter-story drift angle, floor acceleration, plastic rotation and energy dissipation ratio index are set in the model, construct seismic performance comprehensive function, set constraint according to specification limit, convert structure model into optimization problem, realize optimization design by iteratively calling working condition database and automatically correcting key component parameters and damping arrangement.The method described in the application realizes the structure optimization design of high-rise building under multi-directional seismic action by establishing seismic working condition database, parameterized structure modeling and performance function constraint.

The application provides a vertical ampoule bottle making machine multi-station collaborative operation intelligent control method and system, relates to the technical field of ampoule bottle making machines, and comprises the following steps: acquiring a maximum temperature difference value, a pressure difference absolute value and a radial offset distance; constructing a first abnormal combination condition and a second abnormal combination condition; when the first abnormal combination condition and / or the second abnormal combination condition are satisfied, it is determined that the current glass tube blank has an abnormal positioning state at a sealing station, a first compensation value is determined, a first tolerance value is obtained according to the first compensation value and a standard sealing tolerance value; a second compensation value is determined, a second tolerance value is obtained according to the second compensation value and the standard sealing tolerance value; when the next glass tube blank reaches the sealing station, position correctness verification is performed according to the first tolerance value or the second tolerance value. On the premise of guaranteeing the sealing property and geometric precision of ampoule sealing, the comprehensive efficiency of the equipment is significantly improved, and the waste rate is reduced.

The invention relates to the technical field of artificial intelligence and computers, in particular to an intelligent personnel distribution system and method based on grid management, and the method comprises the steps: collecting and arranging the basic information of idle labor force of each grid point, and forming a grid database; analyzing and preprocessing the data in the gridding database, extracting key information, and providing a data basis for intelligent distribution; the enterprise issues specific employment demand information on the platform; the system uses an AI algorithm and a big data algorithm to quickly match the employment demand with the labor force information in the gridding database, and performs nearby pushing based on the geographic position; and delivering the successfully matched employment information to the mobile phone of each grid administrator. The problem of employment of rural labor is solved, and income increase of farmers and rural economic development are promoted. Meanwhile, a stable and reliable labor source is provided for enterprises, and smooth production is guaranteed.

The invention relates to a geographic information big data management system which comprises a driving box, a first motor arranged in the driving box, a gear arranged at the driving end of the first motor, a fixing ring arranged at the lower end of the driving box, a cleaning box rotationally connected with the fixing ring, a toothed belt arranged at the upper end of the cleaning box, a cleaning assembly and a moving box arranged in the cleaning box, and one side of the moving box concaves inwards to form a moving groove. A lead screw is arranged in the moving groove, the lower end of the lead screw penetrates through the moving box to be connected with a second motor, the second motor is fixedly arranged at the lower end of the moving box, the lead screw is in threaded connection with a moving plate matched with the moving groove, and one end of the moving plate extends out of the moving box to be hinged to a mounting plate; the driving end of the first electric push rod is hinged to the moving plate, an information acquisition body is movably arranged at the lower end of the mounting plate, a camera is arranged on one side of the information acquisition body, the angle of the camera can be conveniently adjusted, the acquisition range is expanded, the camera can be cleaned, the information acquisition body is easy to dismount, and the mounting and dismounting time is saved.

The application provides a harmful algal bloom area identification method and device based on remote sensing data, and belongs to the field of marine remote sensing and environmental monitoring. The method comprises the following steps: determining a plurality of sensitive bands of harmful algal blooms; acquiring remote sensing data of a to-be-identified area in each sensitive band; determining an identification interference factor of the to-be-identified area; combining each sensitive band according to the relationship between the identification interference factor and each sensitive band; calculating an identification interference factor index corresponding to each combination; correcting the remote sensing data corresponding to the first sensitive band combination and the second sensitive band combination according to the identification interference factor index; calculating a harmful algal bloom index according to the remote sensing data corresponding to the third sensitive band combination after correction; and judging whether the to-be-identified area is a harmful algal bloom area according to the harmful algal bloom index and a dynamic threshold corresponding to the to-be-identified area. The harmful algal bloom area identification method and device based on remote sensing data provided by the application can realize high-precision and high-stability identification of harmful algal bloom areas.

This invention provides a method and system for lateral limiting control of cable lifting during suspension bridge cable strand erection. It establishes a complete work cycle, from system installation, cable strand pulling, cable lifting operations to cable strand installation and device dismantling, ensuring the systematic nature and repeatability of the construction. Through a communication control component, all winches on the catwalk gantry are synchronously controlled for simultaneous winding and unwinding. This multi-point collaborative mode effectively suppresses the lateral swaying of the cable strands under wind and other disturbances by utilizing continuous lateral constraints. It solves the technical problem in existing technologies where cable strand lifting and saddle insertion relies solely on the winches at both ends of the main tower to suspend the cable strands. As a large-span flexible structure, the increased span of the cable strands significantly reduces their resistance to lateral wind loads, making them prone to large-amplitude, unintended lateral swaying under strong winds, threatening construction safety and even damaging the cable strand structure.

The invention discloses a well selection method and system for ultra-low permeability reservoir water injection well updating, and belongs to the technical field of oilfield development. The well selection method comprises the following steps that a target oil reservoir water injection well updating potential evaluation system is established; obtaining index parameters in the target oil reservoir water injection well update potential evaluation system corresponding to the target oil reservoir water injection well update candidate well, and normalizing the index parameters; and determining a potential comprehensive evaluation index of the updated to-be-selected well of each water injection well of the target oil reservoir, and determining a planned implementation well according to descending order arrangement. The method can solve the problems of low manual well selection efficiency, high individual subjectivity and large result difference at present, and ensures the implementation effect of updating of the water injection well.

The invention belongs to the field of forestry carbon neutralization, and discloses a rocky desertification region vegetation restoration carbon emission accounting method. The method is based on a full life cycle dynamic evaluation principle, and comprises four recovery modes of vegetation restoration of a non-stony desertification region, vegetation restoration of potential stony desertification and mild stony desertification regions, vegetation restoration of a moderate stony desertification region and vegetation restoration of severe and extremely severe stony desertification regions. The stony desertification vegetation restoration is divided into three stages of planting, management and engineering construction. A life cycle list is constructed by tracking production activity input and output of each stage of a karst area vegetation recovery full life cycle, a carbon footprint accounting model is established by using an emission factor method, and scientific accounting of carbon footprints in an operation process is realized. According to the method, the technical blank of carbon footprint accounting in the whole life cycle of rocky desertification vegetation restoration is filled, carbon emission can be measured and reported more accurately, vegetation restoration efficiency is improved, ecological, economic and social benefits of a region are promoted, and sustainable development is promoted.