38 results about "Environmental stress" patented technology

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.

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 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.

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 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.

The invention relates to a multi-factor-driven coast beach health comprehensive evaluation system, and aims to solve the problems of one-sidedness, subjectivity and lack of systematicness in the existing evaluation technology. In the multi-factor-driven coast beach health comprehensive evaluation system, numerous factors influencing beach health are systematically divided into three categories, namely a physical process core factor used for calculating physical stability; the system state and the environment regulation factor are used for representing the landform ecological condition; and the human activity and environmental pressure factors are used for correcting the evaluation result. The innovation point of the invention lies in that a'drive-state-pressure 'three-layer logic evaluation framework is constructed, and multi-section state scientific classification from'health', 'sub-health 'to'harmful' can be realized. The method overcomes the limitation of traditional evaluation, achieves the comprehensive, dynamic and precise diagnosis of the health state of the sand beach, and provides a powerful decision basis for the scientific management, ecological restoration and disaster prevention and reduction of a coastal zone.

The application provides a method and system for evaluating the cumulative impact of the pressure on the seabed habitat, comprising the following steps: identifying the physical pressure affecting the seabed habitat and recording the corresponding pressure benchmark intensity; identifying the environmental pressure and recording the corresponding pressure intensity; scoring the sensitivity of the physical pressure and the environmental pressure according to the characteristics of different types of seabed habitats and the habits of the inhabiting organisms to obtain a scoring result; calculating the pressure intensity of the physical pressure in the kth year of the marine activity based on a physical pressure reduction model according to each physical pressure and the pressure benchmark value of the physical pressure in the starting year; then calculating the pressure of the physical pressure type in the current year; calculating the environmental pressure in the target year; and accumulating the pressure of the physical pressure type in the current year and the environmental pressure in the target year to obtain the cumulative pressure in the target year, so as to realize the dynamic, multi-activity and multi-year comprehensive evaluation of the impact of the pressure on the seabed ecosystem.

The present application relates to the technical field of wisdom management and maintenance, in particular to an ecological green land dynamic monitoring method and system based on AI, comprising the following steps: using a deep learning algorithm to analyze the nonlinear correlation between the growth state of vegetation and environmental stress factors, generating habitat health degree evaluation results, calculating the growth deviation vector of the current state characteristics and the standard habitat model, generating corresponding precise management and maintenance control instructions based on the deviation calculation results and feeding back the on-site execution terminal. In the present application, by establishing a deep fusion analysis mechanism of multi-modal data, intelligent perception and decision-making of the whole life cycle of pocket parks and three-dimensional green space are realized, breaking the limitations of traditional manual inspection in time and space coverage, solving the technical problems of fragmented green habitat data islandization and management and maintenance lag, using dynamic monitoring and real-time feedback closed loop to significantly improve the timeliness of pest warning and the accuracy of resource allocation, ensuring the biodiversity and functional stability of ecological space.

This invention discloses a method and system for ecological risk assessment of waste facility site selection, relating to the fields of ecological environment management and spatial planning technology. Addressing the shortcomings of existing methods for ecological risk assessment of waste facility site selection—namely, their inability to quantify dynamic interactions between species, their inability to simulate cascading disturbance effects, and their lack of long-term systematic risk quantification—this invention involves constructing a probabilistic model integrating high-order ecological dynamic processes, multi-source observation data, environmental stress, and spatial effects; utilizing efficient algorithms for parameter estimation; quantifying the multi-dimensional stability of the ecosystem; simulating the dynamic cascading effects caused by facility operation; and constructing a long-term ecological risk index integrating spatiotemporal factors. Finally, combining Pareto front analysis to achieve multi-objective optimized site selection and generate an ecological compensation priority map. This invention overcomes the limitations of traditional static assessments, achieving a closed loop from dynamic simulation of ecological mechanisms to scientific risk decision-making, significantly improving the scientific rigor of site selection assessment and the accuracy of decision support.

This invention discloses a method for improving the environmental stress resistance of fish by subjecting them to intermittent hypoxia training. The method includes: maintaining dissolved oxygen (DO) in the water at normoxic levels; setting a fixed time window daily to begin deoxygenation treatment, causing DO to drop to a target hypoxic level within a specified time and maintaining this target hypoxic level for a period of time; subsequently, reoxygenating to restore DO to normoxic levels. This intermittent hypoxia training is conducted continuously, with water quality indicators maintained within a suitable range for the target fish during the training period. After the training is completed, the resistance of the target fish is evaluated. This invention is simple to operate. After intermittent hypoxia training, the LOE threshold of the target fish decreases under hypoxic stress, and their hypoxia tolerance is improved. The fish also exhibit enhanced antioxidant capacity and reduced lipid peroxidation levels under hypoxic, high-temperature, and high-ammonia nitrogen stress, providing cross-protection for fish populations growing under various environmental stresses.

The invention relates to submerged plant water quality sediment adaptability evaluation, in particular to a submerged plant water quality sediment adaptability evaluation method and an ecological restoration decision-making method.The submerged plant water quality sediment adaptability evaluation method comprises the following steps that 1, the weight of indexes is adjusted according to measured values of parameters; step 2, calculating the utility value of the index; and step 3, calculating an adaptability index according to the index and the weight thereof. According to the method, environmental stress changes can be responded in real time through the dynamic weight distribution model, the multi-parameter synergistic effect of the water quality factor, the sediment factor and the plant growth factor is comprehensively considered, utility value quantification is carried out by utilizing a membership function, the adaptability index is output, and a grading decision scheme is formed; according to the method, the adaptability of the submerged plants is converted from qualitative description to quantitative decision, the submerged plants can be scientifically matched with water quality-bottom mud conditions of specific water areas, a standardized and replicable technical tool can be provided for lake ecological restoration, and therefore the success rate and cost effectiveness of restoration engineering are remarkably improved.

The invention provides a polar region low-temperature valve sealing performance testing system and method based on multi-physics field coupling, and belongs to the technical field of polar region environment equipment reliability testing. According to the invention, the sealing performance of the valve in a low-temperature environment is quantitatively evaluated by simulating polar extreme climate conditions and combining a multi-physical field coupling test technology. According to the invention, multiple environmental stresses such as polar region low temperature, temperature circulation, pressure fluctuation and surface icing can be accurately simulated, and a high-precision sensing technology and comprehensive data analysis are integrated, so that comprehensive and quantitative evaluation and life prediction of the sealing performance of the valve from a static boundary to dynamic degradation and from a macroscopic phenomenon to a micromechanism are realized; and an effective technical means is provided for reliability design and verification of key valves of polar equipment.

This invention relates to the field of chemical control technology and discloses a method and system for risk assessment of the entire life cycle of laboratory chemicals. Through storage incompatibility analysis, this invention achieves accurate identification, classification, isolation, and control of risks associated with incompatible storage. It also quantifies and records the degradation process of chemicals accumulated during long-term storage through environmental stress degradation analysis, providing a realistic degradation baseline for subsequent stages. By extracting key feature information from experimental record data and dynamic parameters, the impact of the experimental process on the subsequent stability of waste is transformed into structured data. Finally, the final test data, hazardous characteristic time-series data, and process influencing factor set are integrated to conduct risk evolution simulation, enabling forward-looking prediction of risk evolution trends during waste storage. This invention, through the quantitative transmission and integration of risk information throughout the entire life cycle, solves the problem of inaccurate risk assessments caused by independent assessments and fragmented information in traditional methods.

The embodiment of the invention provides a disaster monitoring method and device for a cultural heritage place. The method comprises the following steps: collecting cultural relic body structure monitoring data and environmental stress data in real time; if the current moment meets the risk assessment triggering condition, disaster risk assessment is carried out, and the disaster risk assessment comprises the steps that an ontology vulnerability index is calculated according to newest cultural relic ontology structure monitoring data, a disaster risk index is calculated according to newest environmental stress data, a loss severity index is calculated according to preset cultural relic attribute data, and then the ontology vulnerability index is calculated according to the preset cultural relic attribute data; and performing comprehensive assessment through the ontology vulnerability index, the disaster risk index and the loss severity index to determine the disaster risk level. According to the technical scheme, dynamic vulnerability calculation is driven through the monitoring data, a fixed empirical value is replaced, real-time risk updating is achieved, specific planning measures are automatically proposed according to the risk level through the preset knowledge base, manual conversion is not needed, and therefore the evaluation accuracy and planning efficiency are improved.

The invention provides a multi-spectrum-based plant growth stress monitoring and early warning system, and relates to the technical field of spectrum application aquatic plant growth state monitoring. The system comprises a multi-dimensional stress assessment module which analyzes multispectral data and calculates a direct stress intensity index representing an instant state, a physiological rhythm disorder degree representing internal physiological rhythm stability and a stress diffusion risk coefficient representing a spatial risk in parallel; the comprehensive early warning generation module is used for outputting graded early warning based on the three-dimensional early warning matrix and a decision rule; the stress attribution and prediction engine quantifies the stress cause contribution degree and predicts the future trend in combination with the comprehensive environmental stress potential index; and the model self-optimization module is used for realizing a feedback closed loop by using ground verification data and iteratively updating a system model. According to the method, a full-process intelligent closed loop from'multi-dimensional diagnosis' to'attribution prediction 'to'self-evolution' is constructed, and the comprehensiveness of stress diagnosis and the long-term dynamic adaptability of the system are improved.

The invention discloses a comprehensive environment test device, and relates to the field of test devices, and the device comprises an environment box which comprises an equipment box and a test box, and a portal frame which is installed on a workbench in a sliding manner; a lifting device and a moving device are arranged on the portal frame; the spraying device is mounted on the test box and is used for spraying to the test piece; the vibration table penetrates through the workbench, and a gap is formed between the vibration table and the workbench; one end of the protective cover is mounted at the bottom of the environment box, and the other end is flexibly connected with the vibration table. The comprehensive environment test device provided by the invention realizes simultaneous application of four environmental stresses of temperature, humidity, vibration and IPX9-level water spraying, the test conditions are more harsh and more real, the test piece does not need to be tested independently, the influence of the test piece in the transfer process is reduced, and the test authenticity is ensured. Product defects can be excited more effectively; the testing efficiency is remarkably improved, the time, manpower and site cost is greatly saved, and the product research and development and verification period is shortened.

The invention relates to the technical field of microalgae biotechnology and environmental engineering, and discloses a cultivation method and device for improving oxidative stress tolerance of microalgae under environmental stress, and the method comprises the following steps: mixing microalgae cells with a functional carbon dot material in a liquid medium, carrying out first-stage incubation under a first condition, and carrying out second-stage incubation under a second condition; loading the functional carbon dot material on the surfaces of the microalgae cells; performing second-stage incubation on the treated system under a second condition, so that the functional carbon dot material enters the cells and is combined with chloroplast to form a carbon dot-microalgae heterozygote; the carbon dot-microalgae heterozygote is cultured under an environmental stress condition including light stress so as to improve the oxidative stress tolerance of the carbon dot-microalgae heterozygote. The method can solve the problem that an effective strategy for deeply integrating the characteristics of a nano material and the biological process of microalgae is lacked in the prior art; and a complete stress-resistant pathway for blocking generation of active oxygen from the source, dredging electron accumulation in the process and removing accumulated active oxygen from the system is difficult to construct.

The present application 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. The system comprises a data acquisition and binding unit, an environmental stress modeling unit, a microbial growth prediction unit, a dynamic risk assessment unit, and a risk early warning and decision support unit. The data acquisition and binding unit is used to obtain environment time series data and static physicochemical data associated with the unique identity code of each batch of meat products. The environmental stress modeling unit is used to calculate the comprehensive environmental stress factor. The microbial growth prediction unit is used to calculate the predicted total amount of microorganisms. The dynamic risk assessment unit is used to calculate the dynamic safety risk index. The risk early warning and decision support unit is used to generate a risk level signal and solve the predictive remaining shelf life based on the preset critical risk threshold to support scheduling decisions. The system lays a solid data foundation for dynamic, continuous, and forward-looking microbial risk assessment of the entire production chain, and achieves significant technological progress.

The invention discloses a crop planting method and system based on big data, and relates to the technical field of agricultural planting. According to the method, soil and historical crop data of a to-be-planted area are collected, and a stress-resistant disturbance characteristic field is constructed by clustering and adding Laplacian noise, so that environmental stress is simulated and privacy is protected; calculating a reverse neighbor count and an environment weight based on a local neighborhood, further calculating a weighted normalized centroid offset value, and identifying an ecologically unstable grid by using a dual statistical threshold; constructing a comprehensive evaluation function to optimize a dominant planting kernel, expanding a stable clustering region by adopting a sequential region growing algorithm limited by ecological niche, and forcibly merging broken plaques to a dominant cluster; finally, a differentiated planting method is applied to the core planting area and the ecological buffer zone. According to the method, the micro-ecological heterogeneity of the farmland is effectively identified, the crushing of an operation plot is eliminated, and the crop yield and the ecological stability are remarkably improved.

This invention discloses a method for preserving fruits and vegetables by superimposing DC and alternating electric fields, relating to the field of fruit and vegetable preservation technology. It maintains a dynamic balance between two contradictory processes: inhibiting spoilage and maintaining the body's resilience. A physiological stress balance index is set to assess the balance between inhibition and activation effects within a complete cycle. The method integrates the temporal inhibition effect of the positive electric field and the temporal activation effect of the negative electric field to generate initial time-series parameters where the inhibition and activation effects reach dynamic equilibrium within a complete polarity cycle. This effectively delays spoilage while maintaining sufficient vitality to resist environmental stress, thus achieving excellent preservation results. Simultaneously, real-time collected physiological signals are compared with preset thresholds, and a decision on polarity switching or maintenance is output after logical judgment, giving the preservation strategy adaptive optimization capabilities and enabling precise responses to the actual state of the fruits and vegetables.

This invention discloses a method, apparatus, equipment, and storage medium for environmental stress reliability testing. The method includes: analyzing the operating environment of the test product to determine key environmental stress parameters affecting its operation; collecting multi-source environmental test data of the test product under complex environments based on the key environmental stress parameters; preprocessing the multi-source environmental test data to obtain processed environmental test data; constructing and optimizing a complex environment simulation proxy model based on the processed environmental test data; and inputting the environmental stress to be tested into the complex environment simulation proxy model to obtain a reliability assessment result of the test product under complex environments. This method, by constructing a complex environment simulation proxy model, can predict the response and reliability of electronic products under extreme environments.