2910 results about "Petrochemical" patented technology

The invention discloses a petrochemical equipment fault prediction and safety management system and method, and belongs to petrochemical equipment management. The system comprises the following modules: a working condition sensing and classifying module for realizing real-time identification, classification and feature extraction of the equipment operation state; the health state evaluation module is used for calculating equipment health indexes and outputting an equipment performance degradation trend analysis result; the fault prediction and diagnosis module is used for predicting potential fault types and occurrence time, performing diagnosis analysis on fault mechanisms and providing credibility evaluation of diagnosis results; the risk assessment and early warning module comprehensively assesses multi-dimensional risk factors and generates graded early warning information through dynamic threshold optimization and a multi-stage early warning strategy; the maintenance decision support module is used for optimizing a maintenance strategy and providing resource scheduling and maintenance scheme suggestions based on the equipment health state, the fault prediction and the risk assessment result; and the management and optimization module ensures efficient cooperative operation of each module and continuously improves the system performance.

The invention relates to the field of computer vision and industrial safety monitoring, and discloses a pipe gallery pipeline key connection point leakage monitoring system and method based on AI vision, and the system comprises a data collection module, an intelligent analysis module, a 3D modeling module, a space-time verification module and an alarm prediction module. Real-time detection and three-dimensional accurate positioning of a leakage area are realized in combination with neural network optimization driven by physical simulation parameters; further through optical flow tracking and fluid mechanics verification, false alarm events of non-physical rules are screened out; and based on Bayesian decision and diffusion equation prediction, generating a leakage risk heat map and triggering graded alarm. The method solves the technical problems of low leakage detection precision, high false alarm rate and inaccurate positioning in a complex pipe gallery scene, has the advantages of high environmental adaptability, high anti-interference capability and prospective risk pre-judgment, and is suitable for intelligent safety monitoring of underground pipe galleries and petrochemical engineering pipelines.

The invention belongs to the technical field of petrochemical engineering pipeline monitoring, and discloses an intelligent detection and repair system and method for petrochemical engineering pipeline leakage, and the method comprises the following modules: a data collection module which comprehensively monitors the leakage condition and environmental parameters in a pipeline by deploying a high-precision and low-power-consumption multi-parameter sensor network; the data transmission module is responsible for safely and reliably transmitting the collected data to the cloud processing center; the data processing and analyzing module is used for cleaning, processing and analyzing the collected data and extracting feature information; the leakage identification module is used for identifying and judging leakage events based on various algorithms; the leakage positioning module is used for accurately determining a leakage position; and the leakage evaluation module is used for evaluating the leakage degree, type and potential risk.

The invention discloses a petrochemical explosion-proof humanoid robot trajectory planning method, device and equipment, and the method comprises the steps: collecting petrochemical environment gas concentration data, robot joint motion parameters and target position information, carrying out the dangerous region calibration of the gas concentration data, generating a forbidden map, and determining safety nodes and joint motion ranges; constructing an initial path skeleton based on target position information and safety node distribution, identifying a local dangerous section and a major dangerous section, and generating a motion constraint condition and a poison avoidance path; generating a motion primitive library based on the motion constraint condition and the joint motion range, performing stability filtering to generate stable motion primitives, and forming an advancing scheme set; acquiring a joint load peak value to construct a dynamic envelope, and judging execution fitness to form an execution probability field; and constructing a three-dimensional decision space based on the poison avoidance path, the advancing scheme set and the execution probability field, searching an optimal convergence point to generate a final planning trajectory, and providing a safe and efficient trajectory planning scheme for the petrochemical explosion-proof humanoid robot.

The invention discloses a PDF (Portable Document Format) drawing recognition and information structured extraction method. The method comprises the following steps: generating a high-resolution bitmap through image preprocessing; positioning and classifying a text region, a table region and a symbol region in the drawing based on a target detection model of transfer learning; hough transform is combined with SIFT feature matching to identify engineering symbols, and sub-pixel positioning is realized through an RANSAC algorithm; after the oblique text is corrected through affine transformation, the content is extracted through OCR; reconstructing a table structure based on OPTICS clustering and projection analysis; constructing an RDF knowledge graph according to a coordinate association rule; and using U-Net difference to detect and position an omission area and complementing the omission area. According to the method, deep learning and image processing technologies are fused, the problems of low rotating text recognition rate, table structure loss and semantic association deficiency in a traditional method are solved, through lightweight model compression and TensorRT acceleration, the analysis accuracy is remarkably superior to that of the traditional method, and the method can be widely applied to the fields of constructional engineering, petrochemical engineering and the like and has wide application prospects. And the drawing information processing efficiency and the data integrity are improved.

The invention belongs to the technical field of shipping and artificial intelligence, and particularly relates to a large-model-driven intelligent bidding document generation method and system for the petrochemical energy marine transportation industry, and the method comprises the following specific steps: obtaining original data from an enterprise internal database and an external industry mechanism database through a multi-source data collection module, and after the storage, key concepts in the petrochemical energy marine transportation field are associated in the knowledge graph through the knowledge graph construction module, so that the system can quickly retrieve or recommend text fragments according to the semantic association degree. According to the system, original data are structurally stored through the multi-source data acquisition module, the knowledge graph construction module is associated with key concepts to quickly retrieve and recommend text fragments, multiple templates are preset in the template library multiplexing module and can be directly retrieved and revised, and the large model creation module generates professional texts and the like; the time investment of manually writing the bidding document is greatly reduced, and the compiling period is effectively shortened.

The invention belongs to the technical field of petrochemical process simulation and intelligent optimization control, and particularly relates to a method for constructing and optimizing a full-fraction oil catalytic cracking reaction kinetic model. The construction method comprises the steps of raw material matrix construction, reaction network construction, product property calculation, model parameter optimization and process prediction calculation. The optimization method comprises the following steps: constructing a process optimization index system comprehensively reflecting environmental and economic targets; systematic optimization of reaction conditions and product distribution is realized; intelligent regulation and efficient prediction of the catalytic cracking process are realized; and optimal reaction operation conditions meeting multiple requirements are obtained. The method is high in adaptability, process parameters can be adjusted according to the properties of the raw materials, and efficient conversion is achieved. By optimizing the catalytic cracking process, the yield of aromatic hydrocarbon can be remarkably improved. By predicting and optimizing reaction conditions through the kinetic model, the energy consumption is reduced, the reaction efficiency is improved, meanwhile, the equipment investment and operation cost can be reduced, and the production efficiency and economic benefits are improved.

The invention relates to the technical field of asphalt modifiers, and particularly discloses an asphalt regenerant as well as a preparation method and application thereof. The asphalt modifier comprises an oil phase, a polymer phase, a nano reinforced phase and a functional additive phase, wherein the oil phase comprises petrochemical oil and vegetable oil; the polymer phase comprises four-arm radiation star-shaped SBS and a rubber powder lysis solution; the nano reinforced phase comprises silane coupling agent modified nano montmorillonite and graphene; the functional additive phase comprises maleic anhydride grafted polyethylene and sucrose ester. The asphalt regenerant provided by the invention is suitable for various types of aged asphalt, in particular to aged polymer modified asphalt, each failure phase of the aged polymer modified asphalt is accurately repaired through a multi-phase synergistic mechanism, full-dimension regeneration of the aged polymer modified asphalt from a molecular scale to macroscopic performance is realized, and the asphalt regenerant has a wide application prospect. Excellent applicability and reliability are shown in regeneration of various types of aged asphalt, and a powerful guarantee is provided for high-quality implementation of road engineering.

The invention relates to the technical field of high-pressure hydrogenation reactor control, and discloses a multi-stage pressure optimization control method and system for a high-pressure hydrogenation reactor, and the method comprises the steps: obtaining temperature, pressure and flow monitoring data, generating original parameter data, and deploying a distributed control network; collecting and analyzing multi-stage pressure sensor data, and generating a pressure change influence factor; sensing a valve state, and generating a valve change influence factor; collecting data of a flow sensor, and dividing a control area after calibration; and calculating a pressure optimization index based on the control area data, integrating multiple factors to generate comprehensive control data, and further generating a pressure control signal and outputting an instruction. The system comprises a control network deployment module, a pressure analysis module, a valve analysis module, a control area analysis module and a pressure control signal generation module. Through multi-dimensional data fusion, a distributed control network and dynamic optimization calculation, the accuracy and stability of pressure control of the high-pressure hydrogenation reactor are improved, and the method is suitable for efficient and safe production in the field of petrochemical engineering.

The invention relates to the technical field of petrochemical engineering, in particular to a method and equipment for predicting the yield of crude oil cut distillate oil, a medium and a product. According to the method, near infrared spectrum data of to-be-predicted crude oil is obtained, a corresponding key spectrum variable is determined, the key spectrum variable is input into a target prediction model corresponding to the type of the to-be-predicted crude oil, and the cut distillate yield output by the model is obtained. Thus, interference of other parameters on prediction accuracy is reduced through the key spectral variables with high correlation degree with the cut distillate yield, and the exclusive prediction model is constructed for different types of crude oil, so that interference of heterogeneity between crude oil types on prediction accuracy is reduced, the adaptability of the prediction model to different crude oil characteristic changes is improved, and the prediction accuracy is improved. Therefore, the prediction model can rapidly and accurately predict the yield of the cut distillate oil of the crude oil, and the prediction accuracy and prediction efficiency of the yield of the cut distillate oil are improved.

A geothermally powered petrochemical refining system includes a geothermal system with a wellbore extending from a surface into an underground magma reservoir. A geothermally powered fractional distillation system receives crude oil and produces distillates which are separated by molecular weight. The distillates may be provided to a geothermally powered cracking system that is heated by a heat transfer fluid heated by the geothermal system to crack heavy hydrocarbons into lighter ones. The distillates may be provided to a geothermally powered reforming system that is heated by a heat transfer fluid heated by the geothermal system to reform hydrocarbons into different structures.

The invention discloses a modularized quick mounting system for a storage tank, belongs to the technical field of storage tank construction, and solves the problems of low mounting efficiency, insufficient precision and non-uniform connection stress distribution of the storage tank in the prior art. The system comprises a storage tank wall module group, the storage tank wall module group is formed by splicing a plurality of standard arc-shaped modules through stepped plug-in structures at the two ends in the circumferential direction, and connecting plates with conical positioning holes are arranged at the bottoms of the modules; the self-adaptive positioning base is matched with the positioning module through the conical positioning column and the positioning hole; the dynamic compensation adjusting assembly comprises a plurality of sets of electric servo pushing units, and the three-dimensional posture of the module is dynamically adjusted through a module clamping arm with a roller array. During installation, a four-stage fastening process is adopted, and attitude compensation is triggered if the numerical value difference of the pressure sensor exceeds 5% in the process. The system can realize quick and accurate installation of the storage tank module, improves the structural stability and the construction efficiency, and is suitable for large storage tank construction in the fields of petrochemical engineering and the like.

The invention relates to the technical field of petrochemical equipment tank health state evaluation, in particular to a petrochemical equipment tank health state evaluation method based on multi-dimensional data. The method comprises the following steps: acquiring original data of the petrochemical equipment tank, including information such as structure, material, use environment and the like of the equipment tank, and performing acquisition of the petrochemical equipment tank structure and construction of a simulation model based on the data to obtain simulation model data of the petrochemical equipment tank; identifying an abnormal area of the equipment tank through the simulation model, carrying out overlay analysis, evaluating the structural stability and fracture probability of the equipment tank, calculating the fracture probability of the equipment tank according to abnormal overlay data and structural stability attenuation data of the equipment tank, and carrying out health state abnormity evaluation on the equipment tank based on fracture probability data; according to the evaluation result, the petrochemical equipment tank is repaired; according to the method, the petrochemical equipment tank health state evaluation is optimized, so that the petrochemical equipment tank health state identification is more accurate.

The invention relates to the field of petrochemical equipment, and discloses a cobweb-shaped oil-water emulsification turbulator with turbulent flow fins, which comprises an oil-water emulsification pipe, a cobweb-shaped turbulator arranged in the oil-water emulsification pipe, and annular fins and bent fins fixed on the inner side of the pipe wall of the oil-water emulsification pipe, the annular fins and the bent fins are distributed in the axial direction of the oil-water emulsification pipe, the bent fins are arranged close to the cobweb-shaped spoiler, and a gap for fluid circulation is formed between the bent fins and the cobweb-shaped spoiler. A multi-scale composite turbulent flow field is constructed through cooperative cooperation of the annular fins, the bent fins and the cobweb-shaped spoilers, the annular fins can effectively damage a boundary layer of a pipe wall and enhance local shear force, so that oil drops leaning against the wall are separated from the pipe wall and guided to a central area of a pipeline, and the bent fins further guide fluid to deviate towards the center so as to reduce flowing dead zones. The net-shaped structure of the cobweb-shaped spoiler is used for continuously stretching, shearing and secondarily crushing oil drops, and the oil-water mixing uniformity and the emulsifying efficiency are remarkably improved under the combined action of the three parts.

The utility model discloses a petrochemical engineering pipeline filter capable of adjusting filtering precision, and belongs to the field of petrochemical engineering pipeline filters. The feeding end and the discharging end are fixedly connected to the two sides of the filtering pipe, the sealing hoop rings are fixedly installed at the feeding end and the discharging end and used for being connected with an oil pipe, a fixed outer cylinder is arranged in the filtering pipe, and the top end of the fixed outer cylinder is fixedly connected with the inner wall of the filtering pipe through a sealing edge; fixed filter holes are distributed in the side face of the fixed outer cylinder at equal intervals, and the feeding end is communicated with the interior of the fixed outer cylinder. According to the petrochemical engineering pipeline filter capable of adjusting the filtering precision, the size and the number of the combined filtering holes can be conveniently changed by adjusting the movement of the inner cylinder in the fixed outer cylinder, so that the filtering precision can be adjusted, the filter can adapt to different working condition requirements due to the design, and the production efficiency and the product quality are improved.

The invention relates to the technical field of petrochemical equipment sealing, in particular to a flange sealing performance evaluation method based on bolt axial stress, which comprises the following steps: establishing a nonlinear stress relationship between a gasket and bolt axial force; establishing a relationship between the axial stress of the bolt and the sealing contact stress of the contact surface of the gasket under different working pressures; constructing a three-dimensional model of a real sealing surface; establishing a three-dimensional model of the sealing surface contact process; obtaining the change of a leakage gap between the contact surfaces under different contact stresses, and establishing a relation model of the leakage gap of the contact interface and the sealing contact stress; establishing a quantitative evaluation model among the sealing contact stress, the leakage clearance and the leakage rate; obtaining the contact stress under the actual working condition, and calculating whether the corresponding leakage rate meets the tightness judgment standard or not so as to judge the sealing state of the flange. The invention aims to solve the technical problem that the metal sealing performance of in-service flange connection cannot be quantitatively and online evaluated in the prior art.

The invention discloses a low-temperature polyether demulsifier for oil and gas gathering and transportation and a preparation method thereof, and relates to the technical field of petrochemical engineering, and the preparation method is characterized by comprising the following steps: compounding cardanol, pentaethylenehexamine and bisphenol F according to a specific molar ratio to obtain an initiator, and carrying out formaldehyde condensation to prepare a composite initiator; epoxypropane and ethylene oxide are grafted through staged block copolymerization to form a polyether skeleton; introducing a fluorine-containing epoxy monomer to carry out terminal fluorination modification; finally, adipic acid and epichlorohydrin are subjected to chain extension crosslinking, and the demulsifier with the molecular weight being 8000-12000 Da, the fluorine content being 5.5-6.5 wt% and the PDI being smaller than or equal to 1.3 is prepared. The low-temperature demulsifying agent has the effects of realizing efficient demulsification at low temperature, improving the demulsifying efficiency and reducing the dosage through coordination of the composite initiator, super-hydrophobic permeation of the fluorinated block and accurate regulation and control of the molecular weight, solving the problems of low-temperature failure and easiness in emulsification of a traditional demulsifying agent, and meeting the requirements of low-temperature working conditions of oil and gas gathering and transportation.

The invention discloses a novel high-temperature-resistant and corrosion-resistant aluminum alloy plastic-lined PP-RCT composite pipe, and relates to the technical field of composite pipelines. The composite pipe is of a five-layer gradient composite structure, wherein the outer layer is an anodized aluminum alloy base body, and the inner surface is provided with laser micro-texture anchoring points; the secondary layer is a chromium-free Dacromet anti-corrosion layer, and the interface bonding force is improved through a three-dimensional network structure; the third layer is a gradient curing bonding layer which is cured by stages to eliminate thermal stress; the fourth layer is a dynamic stress compensation layer for absorbing the thermal expansion difference between the metal layer and the plastic layer; and the inner layer is a PP-RCT functional layer which has high temperature resistance and corrosion resistance. The end of the composite pipe is sealed through laser welding, an embedded intelligent monitoring system is integrated, and axial stress and temperature are monitored in real time. Compared with the prior art, the invention is suitable for pipeline systems under extreme working conditions of petrochemical engineering, ocean engineering, high-temperature fluid transportation and the like.

The invention relates to the field of petrochemical material physical property calculation, in particular to a physical information constrained petrochemical material hybrid modeling physical property calculation system and method, and the system comprises a data processing module which achieves the standardized cleaning and fusion of multi-source heterogeneous data; the multi-scale characteristic module realizes material characteristic characterization through quantum-mesoscopic-macroscopic cross-scale modeling; the physical constraint module is embedded into a thermodynamic constitutive equation and a phase equilibrium criterion to ensure the self-consistency of the model; the component interaction module constructs a non-ideal mixing effect prediction model based on a deep potential energy field theory, and establishes a component interaction knowledge graph; the uncertainty quantification module adopts a Bayesian deep learning method to assess and predict a confidence interval, a system integrates a physical mechanism and a data driving method, physical property prediction errors are reduced by 15%-20%, meanwhile, a molecular structure-physical property associated visual analysis tool is provided, process optimization and new product development decision are supported, and the reliability of the system is improved. And the core requirements of the petrochemical industry on high-precision and interpretable physical property prediction are met.

The utility model provides a platform for testing spreading performance of fire extinguishing foam. The platform comprises a test box body with an upper opening, a heating assembly and a test assembly, the test box body comprises a visual loading container and a hollow support located at the bottom of the visual loading container, and the visual loading container is used for loading target combustible liquid; the heating assembly comprises a heating plate, the heating plate is arranged between the bottom of the visible loading container and the hollow support, and the heating plate is used for heating the target combustible liquid in the visible loading container; a foam spray head is further arranged above the visible loading container; and the test assembly is used for recording corresponding data in the foam spreading performance test. The utility model aims to provide a spreadability test platform for different types of fuel oil surfaces and fire extinguishing foam spreadability tests for high-temperature fuel oil surfaces and different types of high-temperature fuel oil combustion surfaces, so as to improve the authenticity of simulating petrochemical fire scenes.

The present invention discloses a method, device and application for producing aviation kerosene from methanol, and belongs to the field of petrochemical product processing technology. The method comprises: generating a methanol dehydration reaction product from a methanol raw material under the catalytic action of a first molecular sieve catalyst, separating and treating the methanol dehydration reaction product, and then mixing it with one or more of recycled fuel gas, recycled liquefied gas or recycled gasoline under the catalytic action of a second molecular sieve catalyst to generate a reaction oil gas, the reaction oil gas is fractionated to obtain a kerosene fraction, and the kerosene fraction is subjected to a hydrogenation and refining treatment to obtain aviation kerosene. The method for producing aviation kerosene using methanol as a raw material provided by the present invention has opened up a new way to produce aviation kerosene; the process flow is short and compact, and can effectively achieve energy conservation and emission reduction.

The invention discloses an SOI (Silicon On Insulator) silicon piezoresistive sensing pressure transmitter automatic compensation and self-diagnosis system, which is characterized by comprising a silicon piezoresistive pressure sensor and a sensor automatic compensation and self-diagnosis system, and the sensor automatic compensation and self-diagnosis system automatically compensates the silicon piezoresistive pressure sensor through software. The high-precision intelligent pressure transmitter is researched and developed by adopting an AI self-learning compensation learning algorithm aiming at the SOI silicon piezoresistive pressure sensor with the independent intellectual property right, and the high-precision intelligent pressure transmitter has the functions of wide range, high precision, high reliability and the like, and is suitable for the SOI silicon piezoresistive pressure sensor with the independent intellectual property right. Intelligent sensing autonomous controllable localization substitution is achieved, and large-scale popularization and application in the industries of petrochemical engineering, new energy, industrial automobiles and the like are achieved.

The invention provides a bio-based light-cured heat-conducting and insulating composite material, a preparation method and application, and relates to the technical field of radiation curing, and the bio-based light-cured heat-conducting and insulating composite material comprises a bio-based oligomer, a reactive diluent, a modified heat-conducting filler, a free radical photoinitiator and an organic silicon defoaming agent. The bio-based oligomer is selected as a main component of the photocuring coating, and compared with a coating prepared from petroleum-based acrylic resin in the prior art, the coating has the green and environment-friendly functions, and meanwhile, the harm to the environment caused by exploitation and processing of petrochemical products can be reduced.

The invention provides an intelligent valve management and control platform based on the Internet of Things, and relates to the technical field of industrial automation control, and the intelligent valve management and control platform based on the Internet of Things comprises a data collection module, an edge calculation module, an Internet of Things communication module, a cloud platform management module, an intelligent diagnosis module and a self-adaptive control module. Through a mode of combining multi-source sensor data acquisition, edge calculation and cloud intelligent analysis, real-time monitoring of a valve state, accurate prediction of a fault and self-adaptive optimization of a control strategy are realized, compared with a traditional valve control system, the problems of response lag, high maintenance cost, data isolation and the like are effectively solved, and the system is suitable for large-scale popularization and application. The method can be widely applied to multiple industrial fields such as petroleum, chemical engineering and water affairs, the automation level, production efficiency and safety of industrial production are remarkably improved, the operation cost of enterprises is reduced, and the method has wide application prospects and huge economic value.

The invention relates to the technical field of petrochemical engineering, and discloses a preparation method and application of temperature-resistant modified carboxymethyl hydroxypropyl guar gum, carboxymethyl hydroxypropyl guar gum, sodium hydroxide, 2-chloro-4-cardanol quaternary ammonium salt-6-phenyl-s-triazine and the like are subjected to a reaction, and the temperature-resistant modified carboxymethyl hydroxypropyl guar gum is obtained. Quaternary ammonium salt cations are introduced into carboxymethyl hydroxypropyl guar gum and can form electrostatic interaction with sodium carboxylate anions of the carboxymethyl hydroxypropyl guar gum, so that the molecular chain interaction force between guar gum is improved, the tackifying effect can be achieved, and the apparent viscosity is improved. The temperature-resistant modified carboxymethyl hydroxypropyl guar gum has the advantages of high apparent viscosity and good thickening effect, has excellent temperature resistance and shear resistance, and has good practical application in fracturing fluid thickeners due to introduction of an alkyl long chain and formation of a physical cross-linked network through hydrophobic association action, and the temperature-resistant modified carboxymethyl hydroxypropyl guar gum has the advantages of high apparent viscosity and good thickening effect.

The invention discloses a dual-carbon data acquisition and analysis system and method based on multi-source information fusion, relates to the technical field of dual-carbon data acquisition and analysis, and solves the technical problem that in the prior art, energy consumption monitoring and analysis cannot be performed on petrochemical enterprises in a dual-carbon data acquisition and analysis stage, so that the accuracy of data acquisition cannot be ensured. Specifically, an energy consumption analysis unit carries out operation energy consumption monitoring analysis on a petrochemical enterprise, collects statistical deviation information and data floating information, and deduces an energy consumption monitoring analysis result according to information comparison; the production process detection unit is used for detecting the production process of the petrochemical enterprise, and deducing whether the production process meets the actual requirements or not through data acquisition and analysis; and the carbon emission data analysis unit performs carbon emission data analysis on the petrochemical enterprise, and deduces whether the carbon emission of the petrochemical enterprise meets the actual demand through carbon emission data analysis.

The invention provides a synthesis method of bio-based poly (ethylene 2, 5-furandicarboxylate) (poly (ethylene 2, 5-furandicarboxylate) for short) and performance application of the bio-based poly (ethylene 2, 5-furandicarboxylate). According to the method, 2, 5-furandicarboxylic acid (FDCA) derived from renewable resources and ethylene glycol (EG) are used as main raw materials, and the high-molecular-weight PEF is prepared through microwave-assisted esterification-polycondensation reaction under the action of a metal catalyst. The prepared PEF has excellent thermal mechanical property and gas barrier property, the glass transition temperature is about 58.6 DEG C, the melting temperature is about 187.4 DEG C, and the thermal decomposition 18% weight loss temperature exceeds 400 DEG C. The PEF material can be biologically degraded under the industrial composting condition, and the degradation speed is higher compared with that of traditional petroleum-based PET polyester. The PEF provided by the invention is suitable for the fields of food packaging films, beverage bottles and fiber materials, has the advantages of biodegradability, heat resistance stability and high barrier property, can partially replace polyethylene glycol terephthalate (PET) and other petrochemical plastics, and meets the requirements of sustainable development.

Belonging to the field of petrochemical engineering, the invention discloses a catalytic slurry oil purification device, which comprises a tank body, and a feed end and a discharge end respectively arranged at two ends of the tank body. An upper partition plate and a lower partition plate are fixedly connected to the inner wall of the tank body, a discharging opening is formed in the upper partition plate, and a feeding opening is formed in the lower partition plate; the interior of the tank body is divided into three independent cavities by the upper partition plate and the lower partition plate; according to the scheme, the filter element is sleeved with the hollow cylinder, and the rotatable first spiral flow deflector is further arranged between the inner wall of the hollow cylinder and the outer wall of the filter element; a rotatable first spiral flow deflector is further arranged between the inner wall of the hollow cylinder and the outer wall of the filter element; a shear force generated by rotation of the first spiral flow deflector can prevent a filter cake on the surface of the filter element from forming a compact thick layer; a filter cake layer can be controlled within a relatively thin thickness range, and the rising speed of the pressure difference is delayed, so that the operation duration of a single filtering period is prolonged; and the single-time continuous treatment capacity of the device is greatly improved.

The invention discloses a resource regeneration method of waste lubricating oil, relates to the technical field of petrochemical engineering, and belongs to the patent classification number C10M175 / 06. The preparation method comprises the following steps: adding a composite flocculant into the waste lubricating oil, heating and stirring, and then carrying out magnetic separation to obtain pretreated waste lubricating oil; uniformly mixing the pretreated waste lubricating oil, glycerol and a Ni / Al2O3 catalyst, then heating and reacting under pressure, and cooling to room temperature to obtain a catalytic hydrogenation product; and carrying out reduced pressure distillation on the catalytic hydrogenation product, recovering the lubricant base oil fraction, adding methanol and concentrated sulfuric acid into the distillation residual liquid, heating for esterification reaction, and separating the liquid to obtain the biodiesel. In the pretreatment process, the composite flocculant is used for removing acid and particle impurities in the lubricating oil, a traditional alkali adding neutralization precipitation process is replaced, the method is environmentally friendly, and the recovery cost of enterprises is reduced.

The invention provides a petroleum and petrochemical scene personnel safety violation identification method based on video analysis, and relates to the technical field of petroleum and petrochemical safety monitoring, and the method comprises the steps: detecting a personnel target through obtaining video data, constructing a resident migration chain to identify a repeated round-trip region, and judging the overlapping condition with a dangerous equipment warning region. And analyzing a personnel action sequence to identify out-of-standard behaviors, verifying the compliance of the operation tool, and calculating a risk value to generate an alarm. According to the method, the safety violation behaviors in the petrochemical area can be automatically identified, the safety supervision efficiency is improved, and the safety accident risk is reduced.