331results about How to "Promote healthy development" patented technology

The invention relates to the technical field of financial leasing systems, in particular to a financial leasing system and method based on a cloud platform, and the system comprises a leasing personnel input unit which is used for obtaining leasing demand information; the rental equipment data acquisition unit is used for acquiring equipment state information; the lease service management unit is used for processing lease matching and risk control; the demand unit is used for analyzing the lease demand; the leasing personnel registration unit is used for managing leasing personnel information; the rental platform resource library is used for storing system data; wherein the lease service management unit realizes lease matching and risk management through a dynamic multi-dimensional lease matching and risk control algorithm, and a state time sequence matching model greatly improves the accuracy of lease matching by combining historical data and real-time market demands; the multi-dimensional lease scoring system further considers a plurality of factors such as lessee credit and equipment conditions, and provides a comprehensive evaluation basis for subsequent decision making.

The invention discloses a hotspot mining system and method based on Internet finance and economics information and a medium, and relates to the field of Internet finance and economics hotspot mining systems, and the system comprises an information collection module which collects finance and economics information in a multi-source manner, determines a collection period according to source characteristics, and carries out the screening and storage; the text preprocessing module is used for cleaning and analyzing texts, standardizing terms and carrying out classification labeling; the hotspot evaluation index calculation module is used for calculating indexes such as classification weighting, TF-IDF and the like; the hotspot mining and analyzing module is used for setting threshold mining hotspots, analyzing emotion and the like; and the visual display module is used for visually displaying the hot spots and supporting interaction and pushing. According to the invention, financial information is integrated, and hotspots are mined accurately. The information acquisition efficiency is improved, and decision-making investment and research are assisted. Information spreading is promoted, and financial field development is promoted.

The invention discloses a distributed system processing method based on an optimized Raft algorithm and a program product, and the method comprises the steps: building a unique transaction ID for an operation transaction of a user, and enabling the transaction ID to serve as an identifier of subsequent operation; when the transaction is executed, the corresponding API function carries the transaction ID to be called together; according to the transaction ID, allocating an independent cache region for the corresponding transaction to store all operations during the transaction period; and after the transaction is completed, persisting the data in the cache region into the database at one time, and clearing logs related to the transaction. A unique transaction ID is established for an operation transaction of a user to serve as an identifier of subsequent operation, so that operation atomicity and consistency in the transaction are ensured; all operations are completed in the cache region, so that frequent hard disk operations are avoided, and the processing speed is greatly improved; the data in the cache is persisted into the database at one time, so that the expenditure of persistence one by one is reduced, logs related to the transaction are cleared in time, memory waste is prevented, and efficient operation of the system is kept.

The invention relates to the technical field of moss cleaning in sewage treatment, and discloses a method for cleaning moss in a sedimentation tank, which comprises the following steps: S1, pretreating moss, and converting the moss into a state convenient to remove by physical and chemical methods; s2, spraying treatment: spraying the moss with reclaimed water containing sodium hypochloride in a temperature range of 20-30 DEG C; s3, performing ultraviolet irradiation, namely performing ultraviolet irradiation on the obtained first moss; s4, inhibiting the growth of moss, namely performing post-treatment on the second moss to inhibit the growth of the second moss; s5, waste is cleaned, moss residues, cleaning agents and other waste generated in the cleaning process are cleaned in time, influences of the residues on water quality are avoided, and moss is prevented from growing again. Through a physical and chemical combined mode, loose moss in the sedimentation tank is effectively removed firstly, then a solution containing sodium hypochloride is used for spraying the moss, it is ensured that all moss patches are in uniform contact, and the ideal chemical cleaning effect is achieved.

The invention discloses a city-level decommissioned power battery quantity prediction method and system based on a multi-dimensional feature ML. The method comprises the following steps: obtaining a new energy automobile risk quantity and N city feature values in a preset time period to construct a data set; analyzing the N kinds of city characteristic values, and determining city key characteristic values and weight values of the city key characteristic values which influence the risk amount of the new energy automobile; screening a data set according to the urban key characteristic values and the weight values thereof, and training a plurality of optimized machine learning models by using the screened data set; evaluating the prediction performance of each machine learning model, and selecting an optimal model for predicting the insurance amount of the passenger vehicle and the commercial vehicle; inputting the future city key characteristic value into the optimal model to predict the risk amount of the new energy automobile; and based on the predicted risk amount of the new energy vehicle, predicting the urban-level decommissioned power battery amount by utilizing the battery type proportion and the battery characteristics of the new energy vehicle and combining Weibull life distribution. According to the method, the prediction accuracy and practicability of the urban-level retired power battery quantity can be realized.

The invention discloses an Internet of Things authentication method and system, and relates to the technical field of Internet of Things. The system comprises a quantum machine learning behavior analysis module, a multi-factor authentication module, a block chain and intelligent contract module, an edge computing authentication processing module, a self-adaptive authentication strategy and risk assessment module, a privacy protection and data desensitization module and a cross-platform interoperation module. According to the invention, the security, efficiency and flexibility of the Internet of Things authentication system are significantly improved, so that the system can efficiently identify abnormal behaviors of equipment, effectively prevent potential security threats, significantly reduce authentication delay, and improve the response speed and user experience of the system. Therefore, the problems existing in the aspects of safety, authentication efficiency and expandability of a traditional authentication method are solved, and a safer, more efficient and more extensible authentication mechanism is provided for the Internet of Things equipment.

The invention provides an online examination cheating behavior detection method and system, and relates to the technical field of examination behavior detection, and the specific steps are as follows: collecting answer texts of examinees in real time, analyzing the answer texts of the examinees by using an NLP technology, and calculating the plagiarism probability of the answer texts by comparing the texts with data in a database; monitoring the network activity of the examinee, analyzing the network behavior mode of the examinee, and calculating the abnormal behavior mode index of the examinee; physiological data of examinees are collected, and psychological stress indexes of the examinees are calculated; calculating a comprehensive evaluation index by using weighted average, comparing the comprehensive evaluation index with an examination cheating threshold value, and judging that the behavior is cheating if the comprehensive evaluation index exceeds the threshold value; according to the invention, the behaviors of examinees are monitored in all directions, and a three-dimensional cheating detection system is provided; the artificial intelligence technology is applied, answer texts, network activities and psychological stress indexes are automatically analyzed, dependence on manual invigilation is reduced, and the monitoring efficiency and accuracy are improved; and cheating behaviors can be found in time.

The invention relates to the technical field of power generation management, in particular to an evaluation method and device based on a new energy power station. And five dimensions of resource environment, system design, equipment quality, construction quality and production operation are evaluated, so that the overall condition of the new energy power station is comprehensively and deeply known, and an important basis and an effective systematic support are provided for normal promotion of asset transaction of the new energy power station. The dynamic evaluation method is adopted and is different from static evaluation, and the dynamic evaluation is concentrated in the aspects of data collection and processing, prediction and modeling, subjective factor processing and the like, so that the accuracy and effectiveness of the overall evaluation are ensured.

The invention relates to the technical field of variety cultivation and identification in molecular biology, in particular to a molecular marker, a primer and a kit for identifying a rubber tree variety 'Yunnan research 314' and application of the molecular marker, the primer and the kit, the molecular marker is positioned on a No. 1 chromosome 17296046-17296214 base, and the nucleotide sequence is shown as SEQ ID No. 1. The invention provides a molecular marker primer and a kit aiming at a rubber tree variety Yunnan research 314, the technology can specifically identify and amplify a DNA sequence of the Yunnan research 314, realizes accurate identification of the Yunnan research 314, is helpful for improving the accuracy of variety identification, optimizes variety selection and regional suitability evaluation, and has the advantages of high specificity, high sensitivity, high sensitivity and the like. Therefore, a scientific basis is provided for planting and breeding of rubber trees, and healthy development of the rubber industry is promoted. The molecular marker, the primer pair or the kit disclosed by the invention can be used for distinguishing and identifying rubber tree varieties: Yunnan research 314, PB86, Yunnan research 277-5, PR107, RRIM600, RRIM515, RRIM523 and IAN873, and is simple and convenient to operate and suitable for large-scale application.

The invention discloses a green three-dimensional planting system for promoting agricultural economic development in an arid region. The green three-dimensional planting system comprises a climate adaptation module; the weather prediction module is responsible for providing weather change prediction; the crop selection and crop rotation module is responsible for selecting suitable drought-enduring crops and implementing scientific crop rotation; the three-dimensional planting structure module is responsible for designing a reasonable three-dimensional planting framework according to the selected drought-enduring crops; the soil improvement module is responsible for adding an organic fertilizer and a modifier and improving the soil moisture retention capability; according to the invention, through weather prediction information provided by the climate adaptation module, the system can predictively adjust an irrigation strategy, and insufficient or excessive irrigation caused by sudden weather change is avoided. The intelligent irrigation module is combined with a neural network algorithm, the irrigation amount and time are accurately calculated and automatically adjusted according to the real-time meteorological data, the drought-enduring crop characteristics, the three-dimensional planting architecture and the soil improvement condition, accurate control over irrigation is achieved, and the utilization efficiency of water resources is remarkably improved.

The invention belongs to the technical field of grafting and seedling raising, and discloses a method for grafting and seedling raising by reserving a first true leaf of a pumpkin rootstock, which comprises the following steps: selecting the pumpkin rootstock; scion and stock seedling raising; reserving true leaves for grafting; grafted seedling healing period management; the specific operation of keeping the true leaves for attaching grafting is as follows: the true leaves and one of the cotyledons are separated to one side by the thumb and the index finger of the left hand, then a grafting blade disinfected by alcohol is used for beveling along the middle of the true leaves and a growing point, a notch is preferably used for simultaneously removing one of the cotyledons and the growing point, the other cotyledon is kept, and the notch is not too long and is about 1cm preferably; the scion is beveled by 30 degrees at the position 1-2 cm below the cotyledon base, it is guaranteed that the cut surface is smooth, and the length of the cut is about 1 cm. Grafted seedlings obtained through the method have higher root system related physiological indexes, grafting survival rate, SPAD value, plant height, stem diameter and leaf number, and healthy growth and strong seedling indexes of the seedlings are integrally improved.

The invention discloses an intrusion prevention system used in a meta universe environment, which relates to the technical field of information security and comprises a virtual identity verification module, a virtual asset protection module, a virtual scene integrity verification module, a behavior analysis and threat detection module, a real-time response and recovery module and a security policy management module. According to the invention, by setting a multi-layer defense mechanism, through virtual identity verification, virtual asset protection, scene integrity verification, behavior analysis and other multi-layer defense mechanisms, the system can comprehensively cover various security threats in the universe, it is ensured that a user is protected in each link in the virtual world, and AI and ML technologies are introduced at the same time, so that the security of the user is improved. The system can dynamically adapt to complex virtual interaction scenes and detect and respond to threats in real time, meanwhile, the system can continuously optimize the protection model through the self-adaptive learning function so as to cope with new attack means, and high real-time performance and self-adaptability are achieved.

The utility model discloses a shipborne breeding net cage cleaning device, and relates to the technical field of breeding net cage cleaning and daily breeding net cage maintenance, the shipborne breeding net cage cleaning device comprises a cage frame with two open ends, and at least one group of longitudinal rolling brushes capable of driving a breeding net cage to rotate in the cage frame are installed on the cage frame. And a plurality of cleaning heads for cleaning the breeding net cage are further mounted on the cage frame. According to the breeding net cage cleaning device, mechanical cleaning of the breeding net cage can be achieved, the breeding net cage does not need to be brought back to the shore in the cleaning process of the breeding net cage, the labor intensity of workers is greatly reduced, environmental pollution is reduced, and the cleaning efficiency of the breeding net cage is improved.

The invention relates to the technical field of power grid influence analysis, and relates to a method for analyzing the influence of multi-access electric vehicle charging piles on power grid harmonic waves, which comprises the following steps: setting a monitoring time period, and simulating that the multi-access electric vehicle charging piles are accessed to a power grid under the set number; collecting power grid load data under each set number of electric vehicle charging piles in the current monitoring time period, and performing prediction analysis on the power grid harmonic level under each set number of electric vehicle charging piles in each future monitoring time period according to the power grid load data, the maximum number of the electric vehicle charging piles which can be accessed to the power grid in each future monitoring time period is determined according to the maximum number and the set power grid harmonic tolerance threshold value and is output to an external device, the number and distribution of the charging piles are reasonably controlled by scientifically analyzing the influence of the access of the charging piles on the harmonic pollution of the power grid, the load of the power grid can be effectively reduced, and the reliability of the power grid is improved. The stability and the power supply quality of the power grid are improved, and the configuration and the utilization of power resources are optimized.

The invention discloses a control method and device for linkage of a wearable device and a limit scooter and a storage medium, and belongs to the technical field of motion data processing.The method comprises the steps that a motion trigger signal is obtained, and the wearable device is connected with the limit scooter through a near-field communication module to obtain and record motion parameters of the limit scooter; key actions are recognized, the motion parameters are analyzed, the key actions and key action moments of the limit scooter are recognized, and key motion indexes of the limit scooter are obtained; comparing a motion target with a historical record, obtaining the motion target, comparing a proportional relation between the motion parameter or the key motion index and the motion target, and / or comparing a size relation between the motion parameter or the key motion index and the best score of the historical record; according to the control method combining the wearable device and the extreme scooter, the exercise data can be collected, analyzed, fed back and visualized, and the healthy development of extreme exercise is promoted.

The invention discloses a public risk perception and behavioral group psychological regulation and control model based on an emergent public health event, which belongs to the technical field of social public management and comprises a risk perception dynamic evaluation module, a behavioral group psychological prediction module and a psychological regulation and control strategy generation module. Through the steps of multi-dimensional information acquisition, quantitative calculation, network topology structure construction, state space diagram generation, Fokker-Planck equation solution and the like, dynamic evaluation of public risk perception level and accurate prediction of group psychological change and behavior trend are realized, and meanwhile, according to a prediction result, the risk perception level of the public can be accurately evaluated. And a psychological regulation and control strategy suitable for the current situation is matched and generated from the strategy library so as to guide the public to deal with public health emergencies rationally.

The invention provides a primer group and a kit for identifying corn varieties and application of the primer group and the kit. The primer group comprises a first primer pair to a 200th primer pair, each primer pair comprises a forward primer and a reverse primer, and the forward primer of the first primer pair, the reverse primer of the first primer pair to the forward primer of the 200th primer pair and the reverse primer of the 200th primer pair are sequentially shown as SEQ ID NO: 1 to SEQ ID NO: 400 in a sequence table. DNA fingerprint data of to-be-detected samples can be obtained through multiple PCR amplification and high-throughput sequencing by utilizing the primer group, then a variety identification conclusion is obtained by comparing the DNA fingerprint data of the to-be-detected samples, the accuracy and the digitization degree are high, hundreds of to-be-detected samples can be compared at a time through sequence analysis software, the variety identification conclusion is rapidly obtained, and the method is suitable for large-scale popularization and application. The accuracy and efficiency of corn variety identification can be obviously improved.

The invention relates to the technical field of cynomorium songaricum identification, in particular to a method for rapidly identifying cynomorium songaricum of different processing modes and host plants based on an electronic tongue technology. The method comprises the following steps: weighing 1.0 g of a sample, adding 10mL of water, dissolving, filtering after 30min, repeating for three times, merging filtrate, obtaining a test solution, and detecting by using an electronic tongue; statistical analysis; the method has the beneficial effects or advantages of rapid and accurate quality identification, non-destructive detection, diversified processing modes and host plant identification, promotion of healthy development of the cynomorium songaricum industry, improvement of intelligent and automatic levels and the like. Due to the advantages, the method has wide application prospects and market potential in the field of cynomorium songaricum quality identification.

The invention, which relates to the technical field of travel big data evaluation, discloses a travel big data evaluation system comprising a tourist attraction supporting facility evaluation module, a social media big data evaluation module, a miraculous degree module and a comprehensive scoring module. The invention also discloses a travel big data evaluation method. The method comprises the following steps: collecting scenic spot data; cleaning and standardizing the collected data, and performing hierarchical scoring; analyzing the processed data to generate a comprehensive score; and the generated score and analysis result are fed back to the scenic spot and the travel management department, and optimization suggestions and improvement schemes are provided. According to the invention, on the basis of social media data, the service quality, environmental protection and tourist experience of tourist attractions and cultural projects can be monitored in real time, dynamic feedback is provided through a scientific evaluation system and a big data analysis model, the tourist service quality is improved, the international competitiveness of cultural tourist resources is enhanced, and support is provided for the development of the cultural industry.

The invention belongs to the technical field of biological detection, and particularly relates to an auxiliary device for bovine tuberculosis kit detection and a use method of the auxiliary device. The problems that existing bovine tuberculosis detection equipment is large in size, inconvenient to carry to the site, complex in operation, low in detection efficiency and high in detection cost are solved. According to the scheme, a plurality of vibration assemblies are arranged on a box body, the vibration assemblies are connected with a supporting assembly, the vibration assemblies are used for driving the supporting assembly to move up and down, a storage box is placed on the supporting assembly, a pore plate is arranged on the storage box, and a sample tube is placed on the pore plate; the auxiliary device for bovine tuberculosis kit detection has the advantages of being small in size, light in weight, easy and convenient to operate, convenient to carry, low in cost and the like so as to meet the requirement for on-site rapid detection, especially in areas with limited resources, the timeliness and accuracy of bovine tuberculosis diagnosis are improved, prevention and control measures can be taken in time, and the detection efficiency is improved. Disease transmission risks are reduced, and healthy development of animal husbandry is guaranteed.

The invention provides a distributed sensing network and system for real-time monitoring of new energy power generation, and the network comprises sensor nodes which collect the operation parameters and environment data of all new energy power generation equipment in real time according to a preset sampling frequency, and carry out the preliminary data processing. The data aggregation nodes are used for collecting data from the sensor nodes and carrying out data fusion and primary processing, and the data center is used for receiving, storing, processing and analyzing the data from the data aggregation nodes; the sensor nodes, the data aggregation nodes and the data center are connected through a multi-level wireless communication network so as to achieve short-distance and low-power-consumption communication between the sensor nodes and the data aggregation nodes and long-distance and reliable communication between the data aggregation nodes and the data center. According to the invention, real-time monitoring and early warning can be carried out on new energy power generation, and stable operation of a power system is ensured.

The invention provides a lifting type net cage anchoring device management method and system, and relates to the technical field of aquaculture anchoring, and the method specifically comprises the steps: collecting the environment parameters and GPS positioning data of the position of a device in real time, and calculating the displacement of the device; performing dimensionless processing on the collected data to generate a comprehensive environment index, an anchoring stability index and a water quality health index; the three are comprehensively analyzed to generate a comprehensive evaluation index reflecting the overall state of the system; and comparing the comprehensive evaluation index with a preset threshold value, and formulating a corresponding management strategy. According to the invention, various environmental parameters are collected in real time, GPS positioning data are combined, and the comprehensive environmental index, the anchoring stability index and the water quality health index are generated, so that comprehensive evaluation of the lifting type net cage anchoring device is realized, the comprehensive evaluation index is more operable, potential risks can be identified in time, and the safety of the lifting type net cage anchoring device is improved. A corresponding management strategy is made according to the comprehensive evaluation result, and the stability of the anchoring device is improved.

The invention relates to the technical field of green financial project financial feasibility evaluation systems, in particular to a green financial project financial feasibility evaluation system and method based on machine learning, and the system comprises a financial evaluation module, a market evaluation module and an environment evaluation module. The financial evaluation module comprises an analysis evaluation unit, a prediction analysis unit and a model simulation unit; the analysis and evaluation unit is used for collecting and sorting data of items and clients and processing the data; the prediction analysis unit predicts financial indexes under different market scenes by utilizing an optimization algorithm according to the customer data and the market data; the market assessment module provides key external environment information for financial assessment by deeply analyzing market trend and policy changes. Meanwhile, the environment evaluation module quantifies the environment influence of the project, and provides important environment indexes for market evaluation and financial evaluation. The complementary mechanism ensures that all key factors influencing the feasibility of the project are considered in the evaluation process.

The invention discloses a skin care product anti-aging effect multi-dimensional comprehensive detection system, which comprises an in-vitro cell model experiment module for detecting indexes such as cell activity, proliferation, migration, apoptosis and antioxidant enzyme activity by simulating natural aging and light aging conditions; the content change of skin structure components such as collagen, elastic fibers and laminin is quantitatively analyzed, the DNA damage repair capacity is reflected by measuring the expression quantity of gammaH2AX, epigenetics research is developed, and the methylation state change of a CpG island is monitored; and the tissue engineering and three-dimensional skin model experiment module is used for performing morphological observation, biochemical index detection and skin physiological parameter evaluation under the condition of simulating a real skin environment by utilizing an artificial skin model. The whole process from the in-vitro cell model to the clinical human body test is covered, and the actual efficiency of the skin care product for delaying or improving the skin aging process can be accurately and objectively evaluated through multi-angle and multi-level data integration analysis.

The invention provides a carbon integral pricing model construction method and device, and belongs to the technical field of reinforcement learning, and the method comprises the steps: constructing a reinforcement learning model through employing a DDPG algorithm; setting an environment required by learning training of the reinforcement learning model; generating a plurality of experience tuples according to continuous interaction between the reinforcement learning model and the environment, and storing the plurality of experience tuples in an experience pool; training the reinforcement learning model based on the experience tuple in the experience pool until the reinforcement learning model converges; and extracting an Actor network from the convergent reinforcement learning model as a carbon point pricing model so as to determine the carbon point pricing for each type of carbon point seller according to the carbon point number of each type of carbon point seller. According to the construction method and device of the carbon point pricing model, a more scientific and reasonable carbon point pricing scheme can be provided, and healthy development of the whole carbon market can be promoted.

The invention provides a smile image recognition system, which comprises a smile display module, and the smile display module comprises a smile acquisition sub-module, a smile recognition sub-module, a smile evaluation sub-module and a display sub-module. Wherein the smile acquisition sub-module is configured to acquire a target object; the smile recognition sub-module is configured to recognize the collected smile image so as to obtain expression features in the smile image; the smile evaluation module is configured to perform scoring test on each smile image according to a preset method; and the display sub-module is configured to provide the scored smile image pair to the display device according to a preset rule. The smiling condition of the student can be displayed, so that the psychological condition of the student is reflected laterally, a school can observe the smiling display condition of the student in the system through the system, psychological counseling can be carried out in a targeted mode, and the psychological health level of the student is promoted to be improved.

The utility model discloses an urban road green belt maintenance irrigation device, and relates to the technical field of green belt irrigation. The water conveying pipe is used for conveying water; the movable bottom plate is arranged below the protection box and is used for moving the whole irrigation device; the movable connecting unit is connected to the protection box and used for driving the needle type irrigation spray head to rotate and stretch out and draw back in the transverse direction and the vertical direction. The needle type irrigation spray head is connected with the movable connecting unit and used for evenly spraying a water source to the bottom of the green belt so as to irrigate the green belt. By designing the needle type irrigation spray head, a water source can be uniformly sprayed at the bottom of a green belt, leaves of plants are avoided, the water source is uniformly sprayed on soil where the plants are attached, the water source can be ensured to fully cover roots of the plants in the green belt, growth and healthy development of the plants in the green belt can be promoted, and the green belt can be protected from being damaged. The waste of water sources can be reduced, and through the movable design, movable irrigation between urban roads is facilitated.

The invention discloses an agricultural planting seed sprouting device, and relates to the technical field of seed cultivation devices.The agricultural planting seed sprouting device comprises a cultivation box, a lifting assembly is fixedly connected to one side of the interior of the cultivation box, a lifting plate is fixedly connected to the top end of the lifting assembly, and the lifting plate is slidably connected to the interior of the cultivation box; a transmission assembly is arranged between the lifting assembly and the lifting plate. By adopting the structure, the transmission block drives the second connecting block to move, and the second connecting block pushes the transmission rod to rotate in the first connecting block, so that the first connecting block drives the lifting plate to move, and the lifting rod slides in the fixed seat, that is, the lifting plate drives the placing barrel to move upwards, and the distance between seeds in the placing barrel and an illumination lamp and a spraying head is adjusted; the method can ensure that different types of seeds in different growth stages can obtain light intensity and water supply most suitable for the growth of the seeds, so that the healthy development of the seeds is promoted, and the growth speed and the overall health condition of seedlings are improved.

The invention discloses a chip rapid over-temperature test system and method, and the system comprises a constant temperature control unit, a temperature monitoring unit, and a data collection and processing unit, the constant temperature control unit is connected with the temperature monitoring unit, and the data collection and processing unit is connected with the temperature monitoring unit. The invention relates to the technical field of chip testing. According to the chip rapid over-temperature test system and test method, the high-temperature environment of the chip in practical application can be simulated, and the performance of the chip at the high temperature can be comprehensively evaluated through rapid temperature rise and accurate temperature control, so that the test efficiency is improved, the test cost is reduced, the accuracy and reliability of the test result are ensured, and meanwhile, the test efficiency is improved. The system can monitor the temperature change and performance data of the chip in real time, provides powerful data support for the quality control of the chip, and is helpful for improving the reliability of the chip and prolonging the service life of the chip.

The invention relates to the technical field of financial risk control systems, in particular to a supply chain financial intelligent risk control system and method. The random matrix construction module is in communication connection with the data acquisition module; constructing a random matrix based on the supply chain knowledge graph data; the topological feature extraction module is in communication connection with the random matrix construction module; the risk propagation model module is in communication connection with the topological feature extraction module; the nonlinear risk quantification module is in communication connection with the risk propagation model module; the quantum probability risk prediction module is in communication connection with the nonlinear risk quantification module; based on a nonlinear risk quantification result, performing quantum probability risk prediction; the risk assessment result output module is in communication connection with the quantum probability risk prediction module; the enterprise risk assessment report is generated, the overall efficiency of supply chain financial risk management is remarkably improved, the current risk condition can be accurately assessed, and risk events possibly occurring in the future can be predicted.