Large-scale Factory Research Articles

Effects of temperature on the growth, total lipid content and fatty acid composition of Skeletonema dohrnii

The potential of diatoms as aquatic bait, attribute to their abundance in highly unsaturated fatty acids, has been extensively studied. Temperature plays a crucial role in the synthesis of these fatty acids. This study specifically investigated the impact of temperature on the growth, total lipid content, and fatty acid composition of Skeletonema dohrnii, a planktonic diatom commonly associated with red tides and water blooms in China. The aim is to evaluate its suitability as an aquatic bait and provide insights for large-scale factory farming. Results indicated that the highest biomass and maximum growth rate occurred at 28°C, with no significant deviation from the control group at 25°C. At 28°C and 15°C, there was a significant increase in the total lipid content and the total fatty acid content, with a more pronounced effect at 15°C. At 28°C, EPA and DHA content measured at 0.97 ± 0.01 mg.DW.L-1 and 0.264 ± 0.01 mg.DW.L-1 respectively, surpass those at 15°C due to lower biomass. Conversely, at 15°C, substantial synthesis of long-chain polyunsaturated fatty acids, with EPA constituting up to 32.24 ± 0.24% of the total fatty acids, is observed. Modulating the temperature could optimize the utilization of S. dohrnii as an aquatic feed source. These findings underscore the potential of S. dohrnii as a high-quality aquafeed and lay the groundwork for its success in ocean warming scenarios.

Tang Tri-Color Glazed Ceramics: Wisdom and Inheritance of Luoyang city, China

This article aims to study the wisdom and inheritance of Tang tri-color glazed ceramics in Nanshishan Village, Luoyang using qualitative research methods to survey, interview, observation, and focus group discussions on the inheritors and heirs of Gao's large-scale factory and Wang's family shop in Nanshishan Village. The structural functionalism theory were applied in analyzing the wisdom in history, current situation, and wisdom of Tang tri-color glazed ceramics in Nanshishan, Luoyang, consisting of production steps of large-scale factory and local family shops. The 5W communication theory was used to study the inheritors, heirs, inheritance content, inheritance methods, and inheritance effects of Tang tri-color glazed ceramics, providing reference for better inheritance of local family shops in Nanshishan Village.

Influence of environment-induced bridge vibration on high-speed train’s driving performance

When railways traverse densely populated industrial areas, the periodic operation of large-scale factory equipment can produce consistent and regular environmental excitation on bridge structures. This excitation, if resonant with the structure, may cause significant vibration of the bridge, posing a threat to trains’ running safety. For the first time, this paper tackles this practical concern by combining field measurements with an analysis of how environment-induced bridge vibrations impact the operational performance of high-speed trains. The environmental vibration was equivalently incorporated into the analysis of the train-bridge coupled vibration system, examining the effects of structural vibration amplitude, frequency, and environmental influence range. The effect of bridge vibration on the driving performance of high-speed trains was evaluated from the spatial frequency domain properties of dynamic irregularity of track and the trains’ performance sensitivity to different parameters. The field measurements reveal that the environment-induced bridge vibration results in a translational motion of the beam driven by the transverse bending of the pier, resonating at approximately 1.5 Hz with an amplitude of 1.33 mm. The CRH series train, characterized by a prominent lateral mode close to 1.5 Hz (i.e., the wavelength sensitive to the train’s lateral running stability predominantly falls within the 30 m–100 m range at speed of 200∼350 km/h), exhibits a high susceptibility to vibrations induced by the environment in bridges. Among the examined parameters, the amplitude of bridge vibration has the most pronounced impact on the train’s acceleration, showing a linear correlation. The combined effect of bridge vibration and track static irregularity resulted in the lateral acceleration of the car body reaching 0.9 m/s2, which is close to the regulatory limit of 1.0 m/s2. Through parameter analysis, the maximum amplitude of the bridge that can be sustained while ensuring driving stability can be determined.

Design and experiment on mechanized batch harvesting of Shiitake mushrooms

Shiitake mushroom must be harvested in time or its commercial value will be reduced. At present, manual harvesting is time-consuming and labor-intensive, and the robotic selective harvesting is far from mature and marketable. Based on the analysis of manual harvesting, a mechanized batch-based harvesting method for the stick cultivation of shiitake mushrooms is proposed as an alternative harvest method in the scenario of large-scale factory production. The feasibility of the simplified picking method was verified by a data acquisition system with integrated force sensor and inertial measurement unit, and the picking force and picking action during manual picking were measured. A mechanized harvesting scheme by picking rings with forward forces to the mushroom stalk was proposed, and its finite element analysis concluded that the mushroom could be picked without damaging the mushroom by using a 5/10 size latex tube. A new mushroom Batch Harvesting Picker (BHP) was designed, including a pushing mechanism, a guiding mechanism, and a harvesting mechanism. By analyzing the causes of harvesting failure and mushroom damage, the stick surface profiling unit were improved by multi-body dynamics simulation. The simulation results show that when the preload force of the reset spring of the harvesting mechanism is set to 30 N, the least pressure on the mushroom stick is 8.97 N, and the picking ring working closer along the surface of stick. The experiment of BHP showed that the harvesting success rate is 98.93 %, the harvesting damage rate is 3.31 %, and the average harvesting time of a single mushroom stick is 9.8 s, which improved the harvesting efficiency of single stick by 2.2–6.6 times compared with the manual harvesting process, which proved the feasibility and efficiency of this batch harvesting scheme in large-scale factory production of shiitake mushrooms.

Occupational injuries and their sociodemographic, workplace, and behavioral determinants among large-scale factory workers in Ethiopia: a cross-sectional study.

Workplace injuries constitute a serious and growing public health concern worldwide. Despite work-related injuries being highly common, especially among workers in the manufacturing industry, their growing complexities are not adequately addressed in the current literature. Therefore this study aims to investigate the association between sociodemographic, workplace, and behavioral characteristics with work-related injuries among large-scale factory workers in Ethiopia. A cross-sectional study was conducted from February to April 2020 with 457 workers selected from large-scale factories in Addis Ababa, the capital of Ethiopia. Survey data included sociodemographic characteristics, working and safety conditions, and behavioral factors as predictors of occupational injuries. A logistic regression model was fitted to estimate the probability of injury and identify its associated factors. The 12-month prevalence of work-related injuries was 25%. Most injuries occurred at midnight (8.8%). Factors associated with work-related injury were excessive working hours (OR = 3.26; 95%CI: 1.26-8.41), cigarette smoking (OR = 2.72; 95%CI: 1.22-6.08), and manual handling (OR = 2.30; 95%CI: 1.13-4.72). Use of personal protective equipment reduced the odds of injury (OR = 0.42; 95%CI: 0.21-0.83). Although our estimated prevalence of occupational injury was lower than that found in other studies, our findings suggest that actions on modifiable conditions must be taken to reduce the burden of workplace injuries in Ethiopia. The results could inform preparedness and policy efforts aimed at improving worker safety and health.

Design and Implementation of the Positioning and Directing Precision Seeder for Cucurbita Ficifolia Seeds

Highlights Identification of large seed plantule point direction were realized using machine vision. A large seed orientation seeder is designed to achieve automatic orientation seeding of large seeds. The directional seeding success (deflection angle of less than 15°) rate was 92.89%. The qualified rate of positioning and orientation reached 87.80% Abstract. A consistent plantule point and a uniform distribution of cucurbit seeds are required for factory seedlings and grafting. However, precision sowing Cucurbita ficifolia seeds automatically with a positioning and orientation method is difficult due to their large, non-spherical shape. To overcome this challenge, a machine vision-based precision seeder was designed specifically for Cucurbita ficifolia seeds. To achieve consistent seed placement and orientation at a 45° angle, a method using machine vision and precise seed positioning and orientation has been proposed. The plantule point location was determined by comparing the pixel values at both ends of seed. The positioning and orientation module was developed to achieve seeding with same orientation of plantule point and located in the center of the plug tray. Finally, the positioning and orientation precision seeder for seeds were tested and evaluated. The results showed that the accuracy rate of seed plantule point identification and the success rate of the seeds orientation actuator were 97.56% and 100.00%. 95.21% of seeds achieved a deflection angle of less than 15°. The germination port of 96.06% of the seeds is distributed in a circle with the center of the hole as the center and a radius of 10 mm. The qualified rate of positioning and orientation reached 87.80%, and the sowing efficiency was about 3750 grains/h. The results showed that the seeder achieves the consistent orientation of the germination port of seeds and sows the seeds in the center of the hole. This finding provides technical support for seedling testing and large-scale factory seedlings. Keywords: Cucurbita ficifolia seeds, Machine vision, PLC control, Positioning and orientation, Precision seeder.

Effect of vanes on vortex characteristics of a vortex ventilation system

A modified local ventilation system using vortex flows with vanes is proposed to enhance ventilation performance. The effect of the vanes on the stability of vortex generation, its structure, and ventilation performance was experimentally investigated using particle image velocimetry measurements. The mean velocity vectors and vorticity contours with and without vanes were compared for Qex = 0.129 m3/s at Vs = 1.73 m/s to investigate the effect of vanes on the vortex characteristics. The flow structures, including the mean velocity field and vortex core size, were very similar with and without the vanes. However, distinct differences were found in the vortex characteristics related to vortex stability, including turbulent kinetic energy, circulation, swirl ratio, and vortex center distances. The normalized turbulent kinetic energy with vanes was observed to be relatively low in the core region. When the vanes were attached, the value of the circulation over the core region increased from 0.151 to 0.155; furthermore, Sc/Sin also increased by 3%. The results indicate that the vortex stability improved after installing the vanes. The concentration of particulate matter was measured to quantify the improvement in the performance of the vortex ventilation system. The improvement was evaluated by the increasing ventilation rate of up to 5.5% with vanes, which is attributed to the increase in vortex strength and stability. The results can be utilized as basic information to design vortex ventilation systems for large-scale factories.

Computation Offloading Method for Large-Scale Factory Access in Edge-Edge Collaboration Mode

Large-scale manufacturing enterprises have complex business processes in their production workshops, and the edge-edge collaborative business model cannot adapt to the traditional computation offloading methods, which leads to the problem of load imbalance. For this problem, a computation offloading algorithm based on edge-edge collaboration mode for large-scale factory access is proposed, called the edge and edge collaborative computation offloading (EECCO) algorithm. First, the method partitions the directed acyclic graphs (DAGs) on edge server and terminal industrial equipment, then updates the tasks using a synchronization policy based on set theory to improve the accuracy effectively, and finally achieves load balancing through processor allocation. The experimental results show that the method shortens the processing time by improving computational resource utilization and employs a heterogeneous distributed system to achieve high computing performance when processing large-scale task sets.

Monitoring and analyzing the effect of heavy metals in air based on ecological and health risks in Coimbatore

Earlier, there were limited number of small-scale factories and they were operated only for certain hours a day. Therefore, the level of air pollution was moderate. But when those factories are converted into a large-scale factory the industrial air pollution created a major impact. The studies say that 6 out of 10 people in Coimbatore region inhales polluted air that outdo the WHO data limit. Air quality index can convey the people how polluted the air is. Industries are the major source for worsening air quality. Higher the air quality greater the health concern. To estimate the air quality in the industrial areas of Coimbatore city the air pollutants like ammonia (NH3), Nitrogen dioxide (NO2), Particulate matter 2.5 (PM2.5), Sulphur dioxide (SO2), Particulate matter10 (PM10), Carbon mono oxide (CO) and Trioxygen (O3) are monitored regularly to do the analysis and also the suspended particulate matter (SPM) are collected in the industrial areas of five stations. The collected SPM undergoes analysis for heavy metal contents like Zinc (Zn), Ferrous (Fe), Copper (Cu), Lead (Pb), Nickel (Ni) and Chromium (Cr). All the ten samples were wrapped in a polythene sleeve and taken to air pollution division, Environmental Scientific Research Department, Government college of Technology, Coimbatore.The result shows that the prominent pollutant present in Coimbatore city is Carbon monoxide (CO) and also the higher possibility of Particulate matter10 (PM10). In heavy metal content analysis, the result shows that the concentration of zinc (Zn) is greater than that of other metal contents in Coimbatore city. The order for concentration of heavy metals that we got from our analysis is Zn>Cu>Fe>Cr>Ni>Pb.The concentration of Zinc (Zn) is higher because in most of the industries iron and steel plays a major role. Zinc (Zn) act as protective coating for those products.Air pollution is one of the deadly environmental threat for death. It is accountable that the death from heart attacks, strokes, breathing disorder and other respiratory disease are more than 7 million for every year. This states that the death due to air pollution causing diseases are greater than tuberculosis, AIDS and malaria combined. As per the medical analysis the causes of cardiovascular and respiratory diseases are mainly due to the heavy metal content present in the air.

Association between morbidity patterns and chemical hazards among industry workers in Iraqi Kurdistan Region

A chemical hazard is an occupational risk brought on by exposure to chemicals at work. Long-term or short-term health effects could result from chemical exposure at work. The study attempts to find the link between morbidity patterns and chemical hazards among industry workers in the Slemani Governorate, A worker-based cross-sectional study was conducted among employees of large-scale factories. 300 workers from ten different industries took a part in the current study. The right number of employees per factory was determined using a proportionate method, and then the employees were selected on purpose. Thirty workers were used for a pilot study, and they were excluded from the original sample size. The workers were interviewed using a developed questionnaire The data was analyzed using descriptive and inferential statistics methods (Kruskal-wallis H test). Among 300 industry workers 44.7% were found in good health, 32.3% of workers were overweight, followed by 8% of them who were obese and 3.7% of them who had musculoskeletal issues. Even though the study observed out of 300 participating workers in 10 industries, 116 of them were exposed to chemical hazards which accounts slightly more than half of represents 50.9%.

Screening Risk Assessment at the Production and Use Stage of Carbon Nanomaterials Generated in Hydrogen Manufacture by Methane Decomposition

We performed a screening evaluation of the human health risk posed by nanocarbon materials at the lifecycle stages of manufacturing and the use of the solid carbon generated in hydrogen manufacture by methane decomposition. We first estimated the atmospheric emission volumes of the solid carbon produced by small-, medium-, and large-scale hydrogen manufacturing plants. We then estimated the atmospheric emission due to tire wear, which largely contributes to the emission of solid carbon usage. Next, we estimated the atmospheric concentration of solid carbon in an atmospheric simulation using the METI–LIS model, which estimates the atmospheric distribution of a pollutant’s concentration near methane decomposition factories. We also used the AIST–ADMER model that estimated the regional atmospheric distributions around central Tokyo, where the traffic volume is the highest nationally. Finally, we performed a screening evaluation of human health risk in the surrounding areas, considering the permissible exposure concentrations of solid carbon. Our study identified no risk concerns at small- and medium-scale factory locations equipped with high-efficiency particulate air (HEPA) filtration facilities. At large-scale factories installed with HEPA filters, these emissions likely remain within the factory site. Furthermore, we determined that emissions from tire wear pose no risk to human health. The surroundings of small- and medium-scale factory sites installed with HEPA filters posed no risk to human health.

Site trials of methane capture from low-concentration coalbed methane drainage wells using a mobile skid-mounted vacuum pressure swing adsorption system

Coalbed methane (CBM) emissions account for a large part of methane (CH4) emission in the fossil energy area, and vacuum pressure swing adsorption (VPSA) is an effective method to recover low-concentration CBM. However, CBM supply can fluctuate in quality or quantity because of the constantly changing geological conditions, thus permanent large-scale factory mode is economically inappropriate. In this work, a highly integrated mobile skid-mounted prototype VPSA system was designed and installed, and site trials of low-concentration CH4 capture were, for the first time, carried out in a coal mine site of Huayang New Material Technology Group Co. Ltd in China. Site trials including breakthrough tests and VPSA experiments were conducted in a fluctuating range of CH4 (16–30%). The effects of flow rate, adsorption pressure, and feed concentration on the separation process were revealed using a breakthrough process, and their effects on the dynamic parameters were also analyzed. After purification, the CH4 content in product gas was increased from 16–30% to 43.3–70.7% which all meet the requirements of 4T grade city gas in China, and maximum CH4 productivity of 43.6 × 10−3 m3/(kg·h) can be achieved. More importantly, multicycle breakthrough tests demonstrated that superhydrophobic zeolite TUTJ-1 is more resistant to the effects of water and has more potential for capturing CH4 under humid conditions than activated carbon.

大規模工場における運転管理データ解析技術

大規模工場における運転管理データ解析技術

Analysis on Construction Technology of Wear-resistant Concrete Floor for Large-scale Factory Building

Analysis on Construction Technology of Wear-resistant Concrete Floor for Large-scale Factory Building

Ducat Deposit Concentrate Pyrometallurgical Processing Technology

A rational way to process silver-containing concentrates of the Dukat Mining & Processing Plant has been proposed and justified based on a series of physical and chemical studies and large-scale laboratory and factory tests, which comprises arranging a combined enrichment and metallurgical scheme primarily aimed at obtaining two silver-containing products best meeting the pyro-and hydrometallurgical processing requirements by column flotation. Obtaining a rough silver-gold alloy comprises two basic process operations: redox roasting of concentrate and electric smelting of the roasted product to an internal collector using soda ash as a flux. It has been experimentally established that the concentrate roasting in the oxidizing mode does not allow sufficiently stable extracting noble metals into a compact dore bead by crucible fusion. Adding a reducing agent to the roasting charge has allowed stabilizing the process. Electric smelting is characterized by mechanical loss of silver with a secondary matte phase and in the form of metal beads ranging in size from 5 to 300 μm, which have failed to pass into the bottom phase in the time allotted. The developed technology is universal and allows processing ores with various material compositions.

Assessment of Liquid Waste Handling Practice of Addis Ketema and its Impact on Shankela River, Addis Ababa, Ethiopia

Addis Ketema is one of the ten sub-cities of Addis Ababa, where the biggest market and the biggest bus station in Ethiopia are located. The liquid waste that is generated from this sub-city is not being handled properly. The objective of this study is to assess the liquid waste handling practice of Addis Ketema and its impact on Shankela River. The data is collected by observation, interviewing garage employees, and interviewing residents. In addition, a triplicate water sample was collected from four sampling sites of Shankela River by using grab sampling. The physicochemical characteristics of the river such as temperature, pH, electric conductivity, dissolved oxygen, total suspended solids, total dissolved solids, biological oxygen demand, and chemical oxygen demand were analyzed to determine the impact of the poor liquid waste handling practice of the sub-city on the river. The main reasons that contributed to the poor liquid waste handling practice of Addis Ketema are the discharge of untreated effluents from small and large scale factories, the migration of people from different parts of the country, the poor liquid waste handling practice of residents, the poor solid waste handling practice of Merkato and Autobis Tera, the poor liquid waste handling practice of condominium’s and the poor liquid waste handling practice of garages. The interview result shows that out of 81garage employees, only 43 percent have a perception about the health and environmental impacts that come with the poor handling of garage effluent. The questioners that are collected from residents show that compared to other zones, zone 3 has poor liquid waste handling practice. Zone 3 is the third zone with 61 out of 100 residents in having low perception about environmental pollution. It is the first zone in having large number of residents, with 87 out of 100 residents, to be affected with water-borne diseases. It is the third zone with 62 out of 100 residents in dumping their liquid waste improperly. It is the last zone with 12 out of 100 residents in handling the generated liquid waste properly and it is the second zone with 45 out of 100 residents in using bottled water over the water that is supplied by Addis Ababa water and sewerage authority. The physicochemical characteristics of Shankela River indicate that even though the river is polluted by other factors before entering into the sub-city, the poor liquid waste handling practice of the sub-city is affecting the river even more by increasing the pollutant load. Developing sanitary infrastructures, Awareness creation, enforcing environmental laws are some of the methods that can be employed to improve the poor liquid waste handling practice of Addis Ketema.

Utilization of Personal Protective Equipment and Its Associated Factors Among Large Scale Factory Workers in Debre Berhan Town, Ethiopia.

Background:Personal protective equipment (PPE) is one of the safeguards to protect workers from occupational risks. The aim of this study was to assess the utilization of PPE and associated factors among large-scale factory workers in Debre Berhan city administration, Ethiopia.Methods:An institutional-based cross-sectional study was conducted using stratified sampling among large-scale factory workers in the Debre Berhan city administration. Four hundred thirty-two employees were interviewed using a stratified sampling technique from 7 large-scale factories. Logistic regression analysis was used to identify factors affecting the utilization of PPE. The strength of association between variables was measured using the odds ratio with 95% confidence intervals at a P-value of .05.Results:A total of 413 respondents were included in the study, with a response rate of 95.6%. Two hundred and eighty-two (68.3%) of the participants were males. The mean age of the respondents was 28.37 ± 7.33 years. The PPE utilization was 35.43% (95% CI: 0.31, 0.40). Accordingly on job training (AOR = 8.85; 95% CI: 5.52, 14.28), previous history of injury (AOR = 0.23; 95% CI: 0.14, 0.36), workplace supervision (AOR = 14.08; 95% CI: 7.87, 25.0), and availability of guideline (AOR = 4.62; 95% CI: 2.51, 8.49) were statistically significant with utilization of PPE among large scale factory workers at a P-value <.05.Conclusion:Utilization of PPE is low. Previous history of injuries, on-the-job training, supervision, and the availability of guidelines were all independent predictors of PPE utilization. As a result, job training, workplace supervision, root-cause learning, and the availability of guidelines should all be considered.

Utilization of Personal Protective Equipment and Associated Factors among Large-Scale Factory Workers in Debre-Berhan Town, Amhara Region, Ethiopia, 2021.

Background Personal protective equipment was designed to protect workers from serious workplace injuries or illnesses resulting from contact with chemical, radiological, physical, electrical, mechanical, or other workplace hazards. Use of personal protective equipment has been identified as an important hazard control strategy in work environments where it may not be practical to adopt other strategies. Objective To determine personal protective equipment utilization and its associated factors based on health belief model among large scale factory workers in Debre-Birhan, Ethiopia. Methods An institution-based cross-sectional study was employed in Debre-Birhan Town, North Shoa Ethiopia, from April 1 to May 1, 2021. The data were collected by using an interviewer-administered structured questionnaire. A total of 412 samples were selected by systematic random sampling method. The data were entered to EpiData version 3.1 and analyzed by SPSS. All independent variables were fitted into the binary logistic regression model to evaluate the degree of association and variables with a p value of <0.2 that was fitted for multiple logistic regressions. Finally, variables with a p value of <0.05 was found to be statistically significant. Result A total of 412 workers were study participants with 100% response rate. The mean age was 29 (±7.3) years. Most workers, 367 (89%) knew that PPE can prevent work-related injury and illness. Overall, 172 (41.7%) of the workers were considered to have good personal protective equipment utilization. Perceived susceptibility (AOR = 1.2, 95%, CI (1.076–1.38)), perceived severity (AOR = 1.1, 95%, CI (1.088–1.163)), perceived self-efficacy (AOR = 1.2, 95%, CI (1.082–1.349)), and perceived barrier (AOR = 0.87, 95%, CI (0.800–0.956)) were found to be significant predictors of good personal protective equipment utilization. Conclusion The study revealed that good personal protective equipment utilization in large-scale factory workers. Perceived susceptibility, perceived severity, perceived barrier, and perceived self-efficacy were found to be predictors of PPE utilization. It is recommended that, during delivery of health education special emphasis should be given to severity, susceptibility, barrier, and self-efficacy of occupational disease.

Evaluation of Energy Price Liberalization in Electricity Industry: A Data-Driven Study on Energy Economics

This study aims to evaluate the effects of price liberalization on energy consumption intensity, because price liberalization leads to improved productivity, energy consumption management, and consumption reform. Although the energy consumption of large-scale factories and industries has increased dramatically, and the energies losses have an increment in the power transmission lines, this policy can result in decreasing the energy consumption intensity due to the changes in consumption patterns. If there is a correlation between two variables, the price can be a valid variable to control cost and increase consumption efficiency. The augmented Dickey–Fuller (ADF) and the Chi-squared tests are also employed to investigate the maneuverability of these variables in the first-order contrast. In this case study, the energy consumption intensity response to price changes using the data gathered between 1988–2020, has gained a confidence interval of these reactions at 95%. The proposed vector autoregressive (VAR) model has forecasted the action and reaction of the end-user, to investigate the future shocks between 2020–2050, considering a new price shock, in the Iranian energy market for the first time. The research findings have shown that energy price liberalization leads to the energy intensity improvement, however, the end-user (shocking) reactions should be investigated to implement a more sustainable policy that eases the new energy price rises.

Big data-driven scheduling optimization algorithm for Cyber–Physical Systems based on a cloud platform

In this paper, we study big data-driven Cyber–Physical Systems (CPS) through cloud platforms and design scheduling optimization algorithms to improve the efficiency of the system. A task scheduling scheme for large-scale factory access under cloud–edge collaborative computing architecture is proposed. The method firstly merges the directed acyclic graphs on cloud-side servers and edge-side servers; secondly, divide the tasks using a critical path-based partitioning strategy to effectively improve the allocation accuracy; then achieves load balancing through reasonable processor allocation, and finally compares and analyses the proposed task scheduling algorithm through simulation experiments. The experimental system is thoroughly analysed, hierarchically designed, and modelled, simulated, and the experimental data analysed and compared with related methods. The experimental results prove the effectiveness and correctness of the worst-case execution time analysis method and the idea of big data-driven CPS proposed in this paper and show that big data knowledge can help improve the accuracy of worst-case execution time analysis. This paper implements a big data-driven scheduling optimization algorithm for Cyber–Physical Systems based on a cloud platform, which improves the accuracy and efficiency of the algorithm by about 15% compared to other related studies.