91 results about "Environmental stress" patented technology

The invention relates to a test system and method for simulating different working conditions of a relay, and the system is characterized in that the system comprises an environment simulation region and a dynamic load simulation region, and the dynamic load simulation region comprises an electrical simulation region, a data collection region, and a data processing and control module; the environment simulation area is used for simulating working environment parameters of the relay, including temperature, humidity and mechanical stress; the environment simulation area is provided with a shell, and heating devices located on the top, the bottom and the side face of the shell are arranged in the shell and used for accurately adjusting the internal temperature. A ventilation opening is formed for adjusting air circulation; a temperature sensor and a humidity sensor are installed and used for monitoring environment temperature and humidity parameters in real time. According to the test system and the test method for simulating different working conditions of the relay, various environmental stresses can be synchronously applied, load changes can be dynamically simulated, data fusion analysis can be realized, and the accuracy of reliability verification of the relay can be improved.

The invention relates to the technical field of aeronautical medicine monitoring and flight protection, in particular to a crissum health risk assessment and dynamic intervention management system for military flight personnel, which comprises a data sensing step: synchronously acquiring environmental stress data and real-time physiological sensing data; a benchmark reconstruction step: calculating ideal physiological response data based on the environmental stress; a pathological simulation step: injecting pathological rheological parameters to generate pathological simulation data; a difference extraction step: constructing a double-track difference vector, and respectively calculating a real residual vector and a theoretical residual vector; a coupling judgment step: calculating a vector similarity to judge a risk type; a dynamic intervention step: generating a physical intervention strategy in response to the risk type to adjust the equipment state; according to the invention, by dynamically stripping environmental noise, physiological hyperemia and pathological disorders are effectively distinguished, and the false alarm rate in a high dynamic environment is reduced.

The invention provides an intelligent pet state translation method and system based on multi-modal data. According to the method, multi-modal data of an outdoor environment where a target pet is located is collected, an obstacle distribution map is generated to quantify the environment obstacle density and the space shielding relation, and combined coding is carried out in combination with the multi-modal data to generate a feature vector reflecting environment pressure. The method comprises the following steps: synchronously obtaining body movement time sequence data of a pet, performing mode matching with a preset pet body language database, and extracting behavior abnormal fragments associated with outdoor environment temporal and spatial changes; by analyzing the mapping relation between the environment pressure feature vector and the abnormal behavior segment, the stress level of the pet is predicted, and finally a translation instruction containing a high-density obstacle area avoidance path prompt is generated, so that intelligent translation of linkage of the pet behavior state and the environment risk is realized. According to the technical scheme provided by the invention, the intelligent translation efficiency and accuracy of the pet state can be improved.

The invention belongs to the technical field of artificial intelligence crossing, and provides a method for intelligently identifying abnormal foraging behaviors of chickens under environmental stress, which comprises the following steps of: acquiring data and analyzing an abnormal foraging behavior identification model of the chickens; the training process of the model comprises the following steps: defining key feature points and a behavior recognition range, acquiring a continuous three-dimensional point cloud sequence based on a time window, acquiring multi-parameter environmental data in a poultry house, marking, dividing a data set, constructing a chicken abnormal feeding behavior recognition model and iteratively training the chicken abnormal feeding behavior recognition model; according to the invention, the multi-layer feature extraction module, the point sequence transformation sensing module, the resolution collaborative enhancement module, the dynamic feedback control module and the behavior recognition module are constructed, and environmental stress variables and deep visual data are fused, so that the three-dimensional structural features and dynamic behavior information of chickens can be accurately captured in a complex breeding environment; the automatic identification capability of abnormal foraging behaviors of chickens is improved, and the method has good generalization performance, interpretability and practical deployment feasibility.

The invention relates to the technical field of vegetation monitoring, and particularly discloses a garden vegetation health monitoring system and method.The garden vegetation health monitoring system comprises a growth state coincidence analysis module, an environmental stress influence analysis module, a regional biological information acquisition module, a biological stress influence analysis module and a vegetation health state analysis module; by monitoring and analyzing the growth state, the regional environment and the regional organisms of the target garden vegetation, the problem of one-sidedness of garden vegetation monitoring in the prior art is solved, intelligent monitoring and analysis of garden vegetation health are realized, the growth condition of the vegetation and various stress factors faced by the vegetation can be mastered in an all-round manner, and the monitoring accuracy is improved. Rich data support is provided for accurately evaluating the health state, healthy growth of garden vegetation is improved to a certain extent, garden management is promoted to develop in the scientific and intelligent direction, and the stability and landscape quality of a garden ecological system are improved.

The invention discloses a mine ecological restoration evaluation and analysis method, a mine ecological restoration evaluation and analysis device, a mine ecological restoration evaluation and analysis device and a computer readable storage medium, and the method comprises the steps: carrying out the basic data collection of a to-be-evaluated mine region, and obtaining an ecological restoration current situation data set; performing index system construction based on the ecological restoration current situation data set, the continuously monitored ecological data time sequence and the ecological system service function data to obtain an ecological restoration degree index set, an ecological stability index set and an ecological functional index set; environment coefficient calculation is carried out based on the obtained plateau environment characteristic data, and an environment stress coefficient is obtained; based on the ecological restoration degree index set, the ecological stability index set, the ecological functional index set and the environmental stress coefficient, evaluation model construction processing is carried out, and a comprehensive ecological restoration evaluation model is obtained; and calculating the actually measured index data based on the comprehensive ecological restoration evaluation model to obtain a comprehensive evaluation score.

The invention relates to the technical field of warehouse environment risk monitoring, in particular to a warehouse environment risk monitoring method and system, and the method comprises the following steps: obtaining a scheduling table and current operation time of forklift drivers or inspectors in a target warehouse, collecting a task load factor of a current task type and the temperature and noise level of an operation area, and obtaining a task load factor of a current task type; and calculating to obtain a scene fatigue risk value. According to the invention, by analyzing the scheduling data and real-time task load and environmental pressure indexes of the forklift driver and the inspector, the comprehensive influence of the personnel operation state and the environmental condition on the fatigue risk is quantitatively evaluated, so that the risk evaluation basis is more comprehensive and specific, and the oneness of risk judgment is avoided; according to the method, a warehouse layout map and cargo distribution information are obtained in real time, and multi-source risk factors are associated into specific warehouse grid units in combination with readings of fire smoke and toxic gas sensors in the warehouse, so that fusion of finer space granularity and more comprehensive risk information is realized.

The invention discloses a deep learning-based battery replacement cabinet health state detection method, and relates to the technical field of battery management, a time sequence feature extraction layer can effectively capture the long-term degradation trend of a battery in a complex environment, and misjudgment caused by short-term fluctuation is avoided; the dynamic weighting layer driven by environmental conditions adaptively focuses on a high-temperature and high-humidity period through an attention mechanism, so that the sensitivity to environmental stress related abnormity is enhanced, and the risk of missing report is reduced; the antagonism training module improves the robustness of the model in an extreme environment by simulating high-temperature and high-humidity disturbance, so that the model can distinguish a real fault from noise interference without depending on manual threshold adjustment; the real-time performance and adaptability of detection are ensured through an online sliding window mechanism and edge deployment, station changes and seasonal fluctuations can be dynamically responded, and the operation and maintenance cost is reduced.

According to the indigenous plant adaptability screening test method simulating the environmental stress condition, the transparent incubator is combined with real-time monitoring equipment such as the high-resolution miniature camera array and the optical fiber sensor, complex laboratory equipment is replaced, and the root system observation problem is solved. The environmental stress condition of a target habitat is accurately simulated, the environmental characteristics of drought, depletion, special soil structure and the like of the high and steep slope are accurately restored by adopting layered matrix and dynamic stress intervention, a systematic evaluation system is established by combining multi-index quantification and a similar analytic hierarchy process, the subjectivity of artificial experience judgment is avoided, and the evaluation accuracy of the high and steep slope is improved. And the scientificity and engineering applicability of indigenous plant screening are remarkably improved.

The invention relates to the technical field of meat food safety production monitoring and management, in particular to a digital visual meat food safety production monitoring and management system. Comprising a data acquisition and binding unit used for acquiring environment time sequence data and static physicochemical data associated with a unique identity identification code of each batch of meat products; the environmental stress modeling unit is used for calculating to obtain a comprehensive environmental stress factor; the microorganism growth prediction unit is used for calculating to obtain the total quantity of predicted microorganisms; the dynamic risk assessment unit is used for calculating to obtain a dynamic safety risk index; and the risk early warning and decision support unit is used for generating a risk level signal, and solving based on a preset critical risk threshold to obtain a predictive remaining shelf life so as to support scheduling decision. According to the system, a solid data foundation is laid for dynamic, continuous and prospective microbial risk assessment of the whole production chain, and remarkable technical progress is realized.

The invention relates to the technical field of livestock and poultry breeding epidemic prevention, and discloses a biological safety system suitable for a breeding community, comprising: a space partition and hardware facility module for constructing a physical framework; the four dynamic line closed-loop management modules are used for executing a one-way flow standard operation instruction; the environment pressure gradient regulation and control module is used for maintaining stable air pressure gradients in areas with high safety levels to low safety levels, the integrated monitoring module is used for acquiring real-time data through a sensor network, and the biological safety state interlocking management and control module decides according to the real-time data, automatically issues instructions and regulates and controls hardware facilities and the environment pressure gradients in a linkage mode, so that intelligent active defense is achieved. Spatial partition, hardware facilities, dynamic line processes, environment regulation and control and intelligent interlocking management and control are systematically integrated, a set of multi-level and closed-loop comprehensive biological security defense system is constructed, and the defect of systematic prevention and control vulnerabilities in the prior art is overcome.

The invention discloses a predictive test system and method based on digital twinning and environmental Monte Carlo simulation, and relates to the technical field of equipment environmental adaptability tests.The system comprises a test cabin, an environmental parameter actuator, a climate Monte Carlo engine, an online sensing network and a health state evaluation and feedback control module; the method comprises the steps that an engine generates an initial multi-dimensional environment control parameter sequence according to a target environment model, an actuator applies environment stress according to the initial multi-dimensional environment control parameter sequence, a sensing network acquires internal state parameters of equipment in real time, an evaluation module judges whether the parameters reach a cascade failure threshold value or not, if yes, an engine algorithm is adjusted or the parameters are corrected, and if not, testing continues; and after finishing, constructing an aged digital twin model which can reproduce a multi-environment coupling effect and realize self-adaptive loading, thereby accurately predicting the failure and the service life of the equipment.

The application discloses a kind of based on low temperature ice and snow environment material weather resistance test method, belong to material testing technical field, it includes according to environmental simulation scenario, generate dynamic environment parameter set, in the preset composite environment stress cabin, apply dynamic change ice and snow load and multi-physical-chemical environmental stress, construct coupling environment field acting on the sample to be tested;Real-time acquisition is obtained in the state of the sample to be tested in coupling environment field, generate multidimensional monitoring data set and compare and analyze with the preset material aging characteristic template, generate the material response data of the current state of the sample to be tested, construct environment parameter adjustment instruction set real-time regulation coupling environment field in composite environment stress cabin.The application adopts the closed-loop feedback control strategy of combination of constructing dynamic coupling environment field and real-time monitoring material response, can realize the intelligent acceleration of test process under the premise of guaranteeing the authenticity of failure mechanism, significantly improve test efficiency and the accuracy of result.

The present invention relates to improved technology for a device that ascertains and diagnoses the state of environmental stress in plants.　A control circuit 20b controls a measurement light source 12 such that a second measurement light ML2 is higher powered than first measurement light ML1 and such that the first measurement light ML1 and the second measurement light ML2 have opposite phase square waves, and further controls the measurement light source 12 such that the first measurement light ML1 and the second measurement light ML2 are output synchronously, thereby forming the first measurement light ML1 and the second measurement light ML2 into a single pseudo synthesized square wave measurement light ML3 of 5-30 kHz.　A transmitted light detector 18 detects, as synthesized square wave transmitted light TL, the synthesized square wave measurement light ML3 that has passed through a plant sample S.　An analysis circuit 20a uses the synthesized square wave transmitted light TL to calculate a light absorption difference, uses the light absorption difference to calculate, as a ROS marker, Y(ND) which is the oxidation state of P700, and uses the ROS marker to diagnose the state of environmental stress of a plant.

The present application relates to the field of connector testing, in particular to a connector-based locking structure testing method and system, comprising the following steps: building a multi-physical field coupling test environment to output a composite environmental stress; based on the actual application scenario of the to-be-tested locking structure, obtaining assembly deviation data, and obtaining an assembly deviation state through a preset multi-degree-of-freedom adjustable clamp; based on the physical data of the to-be-tested locking structure, constructing a three-dimensional model of the locking structure, giving real material mechanics parameters, inputting the composite environmental stress and the assembly deviation data into a finite element software for simulation testing, and outputting a simulation test data set; performing physical testing through the multi-physical field coupling test environment, and outputting a physical test data set; comparing and analyzing the simulation test data set and the physical test data set, and outputting a test report. The present application builds a multi-physical field coupling test environment, and combines a multi-degree-of-freedom adjustable clamp to make the test scenario closer to the real application working condition of the connector.

This invention relates to a method for risk assessment of multiple ecological factors in lakes based on DOM (Dissipative Oxygen Species), nutrients, and the coupling of functional bacteria and pathogen resistance. The invention aims to address the technical problems of current lake risk assessment methods, which primarily focus on evaluating single resistance risks, neglect the ecological buffering role of functional bacteria, and fail to reflect the coupled risks of multiple ecological factors in lakes. This invention obtains DOM parameters, nutrient parameters, functional bacteria indicators, pathogenic bacteria indicators, and drug resistance transmission factor indicators; calculates a comprehensive risk value R based on the environmental stress index E, ecological buffering index B, transmission hazard index H, and DOM-mediated transmission triggering coefficient K, and performs risk classification and spatial zoning assessment. This invention incorporates DOM activity, nutrient imbalance, the ecological buffering capacity of functional bacteria, and the drug resistance transmission potential of pathogenic bacteria into a unified evaluation framework, applicable to comprehensive ecological security assessment, risk early warning, and zoning management of lakes such as Poyang Lake.

The present application relates to the technical field of aviation medical monitoring and flight protection, in particular to a perianal health risk assessment and dynamic intervention management system for military flight personnel, comprising: a data sensing step: synchronously collecting environmental stress data and real-time physiological sensing data; a benchmark reconstruction step: calculating ideal physiological response data based on environmental stress; a pathological simulation step: injecting pathological flow parameters to generate pathological simulation data; a difference extraction step: constructing a double-track difference vector, and respectively calculating a real residual vector and a theoretical residual vector; a coupling judgment step: calculating vector similarity to determine the risk type; and a dynamic intervention step: generating a physical intervention strategy to adjust the equipment state in response to the risk type; the present application effectively distinguishes physiological congestion from pathological disorders by dynamically stripping environmental noise, thereby reducing the false positive rate in a high dynamic environment.

The invention relates to the technical field of data processing, in particular to an ecological environment detection method and device based on multi-source data and a storage medium, and the method comprises the steps: collecting spatial distribution parameters and environmental stress parameters; constructing an intrusion space index based on the target plaque area and the target plaque boundary perimeter; constructing a habitat stress index according to the daily average submerging duration and the soil salinity of the root system layer; constructing a diffusion risk factor according to the plaque area of the associated region of the target plaque, constructing a risk index based on the diffusion risk factor, the intrusion space index and the habitat stress index, and constructing a plaque treatment priority; and constructing an adjustment coefficient according to the canopy temperature daily difference, constructing an update coefficient according to the seed removal rate and the adjustment coefficient, and updating the plaque treatment priority based on the update coefficient and the target plaque area. According to the method, accurate diagnosis, risk early warning and scientific sorting of treatment priorities of the spartina alterniflora invasion situation are realized.

This invention relates to the field of health and medical data processing technology, and particularly to a method for chronic disease risk management based on community grids. The method includes constructing an initial spatial environmental potential field based on point-of-interest weights; calculating the risk exposure integral sequence and instantaneous potential gradient by combining user trajectories; if the gradient exceeds a threshold, adjusting parameters and using a matrix contour algorithm to extract stress-related abnormal motifs from physiological monitoring data; reconstructing the potential field by statistically analyzing the frequency of group motif attacks; finally, calculating the cross-correlation between the exposure integral and the attack frequency sequence to obtain a causal index; and combining this with health records to output a chronic disease risk rating and intervention instructions. In this invention, by introducing an instantaneous potential gradient to feedforward and regulate the extraction parameters of physiological motifs, the technical problem of traditional fixed-parameter sampling easily missing environmental stress physiological responses is solved, enabling the underlying algorithm to accurately capture users' stress-related abnormal physiological motifs during sudden environmental changes.

The application provides a cultivated soil biological health condition evaluation method and system based on exploratory factor analysis, relates to the soil biological health condition evaluation technical field, and realizes accurate analysis on the complex interaction relationship between soil microbial functions and environmental factors by constructing a soil biological health evaluation system based on a nitrogen biological regulation coordination network; through multidimensional index fusion and deep mining of a factor model, key biological function factors are effectively identified and quantified, and the scientific evaluation ability of soil ecological functions is improved; combined with causal path analysis, the scheme can reveal the influence of environmental pressure on microbial regulation mechanism, realize intelligent attribution and tracing of abnormal health conditions, based on dynamic fusion and hierarchical determination of function and environment scores, the scheme supports accurate health condition evaluation and layered intervention, enhances the early warning ability and decision-making scientificity of soil management, and significantly improves the guarantee level of agricultural sustainable development.

A vehicle environment adaptability quantitative evaluation method and platform in a humid and hot marine environment, and the method comprises the following steps: collecting original data of a specified environment, preprocessing the original data, and generating environment data; performing environmental stress normalization and material degradation prediction, constructing an environmental stress normalization model and a material degradation model, and outputting a normalized environmental stress index ESI and a material degradation index; loading an FAHP-Entropy fuzzy hierarchy comprehensive evaluation model, calculating a combination weight by adopting an FAHP-Entropy combination weighting method according to the normalized environmental stress index ESI, the material degradation index and the mechanical fault influence factor, and obtaining an adaptability score of the service vehicle in the specified environment; carrying out adaptability quantitative evaluation and maintenance decision output according to the adaptability score; the method is applied to a vehicle environmental adaptability quantitative evaluation platform, the evaluation method is programmed, and environmental adaptability design verification, service state monitoring and maintenance decision support of the vehicle are realized based on multi-source data fusion and dynamic weight optimization.

A digital twin-based durability optimization method for highway traffic protection facilities, involving the field of electronic digital data processing, involves: standardizing environmental parameters and performing a weighted calculation with the damage contribution coefficient to determine the environmental stress level; analyzing the temporal variation characteristics of the environmental stress level to determine the migration path and accumulation area; categorizing differentiated protection levels based on the stress intensity distribution within the accumulation area; and using numerical simulation methods to determine coating parameters. Implementing this method can extend the service life of highway traffic protection facilities.

This invention provides a gradient environmental stress buffer device and method for the domestication of endangered fish, relating to the field of endangered fish domestication technology. It includes multiple holding chambers connected to adjacent chambers via a transfer mechanism. Each holding chamber is equipped with a water flow regulation mechanism, an environmental control mechanism I, and a visual acquisition mechanism. Two storage tanks are connected to a proportioning mixing mechanism, which is connected to the multiple water flow regulation mechanisms. Through the gradient setting and dynamic adjustment mechanism of multiple holding chambers, this invention achieves linear and gradual gradient changes in dissolved oxygen, pH, ammonia nitrogen content, water flow velocity, and photoperiod, meeting the gradual adaptation needs of endangered fish to environmental changes. This significantly reduces the mortality rate of endangered fish during domestication, achieving efficient and safe domestication of endangered fish.

The invention relates to the technical field of building structure health monitoring, and discloses an ancient building and pseudo-classic building big wood component disease diagnosis method comprising the following steps: carrying out multi-modal baseline representation on a big wood component to calibrate a disease high-risk area; executing a preset environmental stress test protocol for the region; environment stress data and metabolic gas concentration serving as metabolic feedback data are synchronously collected; extracting instantaneous dynamic characteristics based on the collected data, and constructing a stress-feedback fingerprint representing a response mode of the instantaneous dynamic characteristics; training a disease development prediction model based on the fingerprints, and constructing a response surface model to invert an environmental critical point triggering disease activity; and finally, in combination with a prediction result and the critical point, generating a comprehensive diagnosis report and defining a safe operation envelope for guiding preventive maintenance. According to the invention, through active stress testing and metabolic fingerprint analysis, early quantitative diagnosis of diseases in the incubation period is realized, and an accurate quantitative basis is provided for preventive microenvironment regulation and control.

The invention discloses a quantitative evaluation method and device for environmental adaptability of a metal force-bearing component integrating apparent damage and mechanical damage characteristics, and relates to the field of high environmental adaptability evaluation of products and structural life evaluation. The method comprises the following steps: firstly, acquiring historical data of apparent damage characteristics, historical data of mechanical property characteristics and historical data of environmental parameters of the metal bearing structure; then constructing an apparent damage-environmental stress dynamic model and a mechanical property-environmental stress dynamic model according to the obtained historical data; constructing a performance index model; and then evaluating the high environment adaptability of the metal bearing structure in different use environments according to the performance index model to obtain performance indexes at different time. According to the method, the environmental stress, the apparent damage and the mechanical property are comprehensively considered in the quantitative evaluation process of the environmental adaptation level of the product, and the accuracy and comprehensiveness of structural adaptation capability evaluation are improved.

The invention relates to the technical field of animal epidemic disease prevention and control management, and particularly discloses an animal epidemic disease health risk evaluation method and system, and the technical key points are that the method comprises the steps: firstly, collecting multi-source data of animal health monitoring, laboratory detection, environmental factors, epidemiology and the like, and carrying out the standardization processing of the data; key factors such as immune level, health deviation degree, environmental stress degree and epidemiological risk are extracted; by establishing a multi-factor comprehensive risk evaluation model, quantitative calculation is carried out on epidemic disease risks of animal groups, and dynamic updating and self-learning optimization of risk indexes are realized in combination with time sequence correction and machine learning correction; the system structurally comprises a data acquisition module, a data processing module, a risk assessment module and a result output module, and can realize risk grade division, visual display and cross-terminal early warning push. When the risk reaches a medium-high level, the system can be linked with ventilation, disinfection and isolation measures of the farm to form a closed loop of evaluation, early warning and disposal.

The invention relates to the technical field of urban intelligent management and control, and provides an urban composite environment health risk assessment and intervention method and system, and the method comprises the steps: obtaining the geographic space data and ground observation data of an urban region; constructing a collaborative environmental stress index, and calculating an SESI predicted value; performing grid construction on the urban area to construct a graph structure, performing feature learning by using a GNN algorithm, predicting a node SESI value, and generating a collaborative stress map; constructing a comprehensive vulnerability evaluation model, calculating a vulnerability index, and identifying a high-vulnerability region; fuzzy comprehensive evaluation and TOPSIS methods are fused, intervention measures of the high-fragility area are sorted, and an intervention scheme is generated. According to the method, the nonlinear interaction modeling and the high-resolution graph neural network are fused to realize accurate recognition of the composite environment health risk, and the intervention strategy is optimized through the multi-criterion decision model, so that scientific regulation and dynamic optimization of the urban intervention scheme are realized.

The invention relates to the technical field of plant germplasm resource evaluation, and discloses a bamboo reed germplasm resource environmental adaptability evaluation method. The method comprises the following steps: acquiring environment data of a plurality of ecological test points and bamboo reed phenotype data, and forming a germplasm environment response record after matching; according to the bamboo reed key phenological period division points, the records are intercepted and recombined into a plurality of phenological response sub-records; for each sub-record, extracting an environmental factor extreme value exceeding a preset tolerance range and a duration, and constructing an environmental pressure portrait; connecting all portraits of the same bamboo reed germplasm in series at all test points and arranged according to a phenological sequence to form a cross-regional whole-growth-period environmental adaptability path diagram; and inputting the path diagram into a pre-trained multi-dimensional adaptability discrimination network for analysis, and outputting an adaptability grade classification label to finish evaluation. According to the method, environmental stress in a specific growth stage can be quantified more finely, the overall adaptability of germplasm to a complex stress sequence is systematically judged, and the accuracy and practicability of evaluation are improved.

The present application relates to the technical field of plant germplasm resource evaluation, and discloses a reed germplasm resource environmental adaptability evaluation method. The method comprises the following steps: obtaining environmental data and reed phenotype data of multiple ecological test points, and matching to form a germplasm environmental response record; dividing the record according to a key reed phenophase, and recombining the record into multiple phenophase response sub-records; for each sub-record, extracting extreme values and duration of environmental factors that exceed a preset tolerance range, and constructing an environmental stress image; connecting all the images of the same reed germplasm at all test points in the order of phenophases to form a cross-regional whole growth period environmental adaptability path diagram; inputting the path diagram into a pre-trained multi-dimensional adaptability discrimination network for analysis, and outputting an adaptability grade classification label to complete the evaluation. The present application can more finely quantify environmental stress at a specific growth stage, and systematically discriminate the overall adaptability of germplasm to a complex adversity sequence, thereby improving the accuracy and practicality of the evaluation.

The invention discloses a manufacturing method of a positive film circuit board, which comprises the steps of pretreatment, film pasting, exposure, development and pattern electroplating in sequence, and is characterized in that a programmed stress release step is executed after the exposure step and before the development step; the programmed stress release step comprises the following steps: placing the exposed circuit board in a controlled environment, and successively carrying out first-stage standing and second-stage standing; wherein the environmental conditions of the first-stage standing are as follows: the temperature is 23 + / -2 DEG C, the relative humidity is 40-60%, and the standing time is greater than or equal to 15 minutes; the environmental conditions of the second-stage standing are as follows: the temperature is 28 + / -2 DEG C, the relative humidity is 40-60%, and the standing time is longer than or equal to 15 minutes. According to the manufacturing method of the positive film circuit board, environmental stress is regulated and controlled, and a dry film cross-linked network is guided to be uniformly and fully subjected to post-curing, so that a molecular structure of an exposure area is directionally converted into a high-stability state from a metastable state, and a perfect anti-plating pattern with sharp edges and no sawteeth is formed during developing; therefore, the line dog tooth defect in the positive film process is stably and effectively eliminated.