Efficient two-stage reverse osmosis petroleum coke water treatment system

Abstract

The invention relates to the technical field of industrial wastewater treatment, and discloses an efficient two-stage reverse osmosis petroleum coke water treatment system, which comprises pretreatment execution ends, a reverse osmosis core end, a concentration regeneration end and an intelligent control end which are commonly configured with a data feedback module. A step-by-step mechanism is established at the initial stage of wastewater treatment, quartz sand is adopted to intercept large-particle suspended solids, activated carbon is adopted to adsorb and degrade organic matters, softening resin is adopted to replace and remove scaling ions, ozone is adopted to catalyze, oxidize and decompose refractory pollutants, an oxidation-reduction potential dynamic regulation and control mechanism is innovatively introduced, and the dosage of an oxidizing agent is automatically regulated according to water quality and chemical quality; by means of the design, the blocking problem caused by high-hardness waste water is solved, the membrane is prolonged, the solution period is stably solved, the chemical cleaning frequency and agent consumption are reduced, a pollution early warning and closed response linkage mechanism is constructed, membrane damage caused by manual intervention delay is avoided, and the service life of membrane elements is prolonged and reduced.

Description

Technical Field

[0001] The invention relates to the technical field of industrial wastewater treatment, in particular to a high-efficiency two-stage reverse osmosis petroleum coke water treatment system. Background Art

[0002] Industrial wastewater treatment technology is a technology that uses physical, chemical, biological and other technical means to purify wastewater generated during industrial production to meet national or local emission standards and realize the resource utilization of wastewater as much as possible.

[0003] However, the existing technology has the following problems: 1. Low membrane treatment efficiency; 2. The energy consumption of concentrated liquid treatment is too high; 3. Insufficient intelligence.

[0004] Therefore, the present invention provides a high-efficiency two-stage reverse osmosis petroleum coke water treatment system, which solves the above-mentioned problems by configuring a data feedback module through the pretreatment execution end, reverse osmosis core end, concentration regeneration end and intelligent control end. Summary of the Invention

[0005] In view of the shortcomings of the existing technology, the present invention provides a high-efficiency two-stage reverse osmosis petroleum coke water treatment system, which solves the problems raised in the above background technology.

[0006] To achieve the above objectives, the present invention provides the following technical solutions: a high-efficiency two-stage reverse osmosis petroleum coke water treatment system, the system comprising a pretreatment execution end, a reverse osmosis core end, a concentration and regeneration end, and an intelligent control end, all of which are equipped with a data feedback module; The pretreatment execution end uses a quartz sand filter to intercept suspended solids larger than 20μm, and is linked to an activated carbon adsorption tank to adsorb COD to less than 100mg / L. The softening resin tank reduces the inlet water hardness to less than 50mg / LCaCO3. The redox potential (ORP) value of the ozone catalytic reactor is monitored in real time. When the ORP value is less than 300mV, the ozone dosage is automatically increased by 10%; The reverse osmosis core removes 90% of salt through the first-stage reverse osmosis membrane group at an operating pressure of 2.0 MPa, and the second-stage reverse osmosis membrane group deeply desalinates to a water conductivity of less than 50 μS / cm at a pressure of 3.1 MPa. A pressure sensor is equipped to trigger the membrane cleaning protocol in real time. The concentration and regeneration end increases the TDS of the reverse osmosis concentrate to 90g / L through an electrodialysis device, and is linked to a vibrating fluidized bed crystallizer to generate a crystalline solid with a particle size of 0.9mm in a 40kHz ultrasonic field. The solid product with a moisture content of less than 5% after centrifugal dehydration is transported to the packaging line; The intelligent control terminal uses an LSTM processor to build a membrane fouling index prediction model, dynamically adjusts the reverse osmosis operating pressure by ±0.3 MPa, initiates an EDTA-citric acid mixed cleaning cycle when the fouling index is greater than 0.85, and controls the mother liquor reuse rate to greater than 95%; The data feedback module uploads COD removal rate, desalination rate and energy consumption data to the cloud server in real time through the industrial Internet of Things platform. When the system energy efficiency ratio is less than 0.35kWh / m³, a three-level sound and light alarm is triggered.

[0007] Preferably, the method comprises the following steps: S1. Collect raw water from petroleum coke wastewater, perform real-time detection of water quality parameters on the raw water, and generate raw water quality data; S2. Based on the raw water quality data, performing physical and chemical synergistic treatment on the raw water through a multi-stage pretreatment system to generate pretreated water, wherein the multi-stage pretreatment system includes a quartz sand filtration unit, an activated carbon adsorption unit, a softening resin exchange unit, and an ozone catalytic oxidation unit; S3. The pretreated water is transported to the primary reverse osmosis membrane group for primary desalination treatment to generate primary product water and primary concentrate, and the inlet pressure, product water flow rate and desalination rate of the primary reverse osmosis membrane group are monitored in real time; S4. The primary produced water is transported to the secondary reverse osmosis membrane group for deep desalination treatment to generate secondary produced water and secondary concentrated liquid, and the transmembrane pressure difference and produced water conductivity of the secondary reverse osmosis membrane group are dynamically monitored; S5. Mix the primary concentrate and the secondary concentrate, and perform ion separation treatment through an electrodialysis concentration system to generate electrodialysis product water and electrodialysis concentrate; S6. transporting the electrodialysis concentrate to a vibrating fluidized bed crystallization system for solid-liquid separation to generate crystalline solid and recyclable mother liquor; S7, post-processing the secondary produced water, and generating the final produced water through the pH intelligent adjustment unit and the ultraviolet disinfection unit in sequence; S8. Based on the monitoring data of steps S3 and S4, a membrane fouling prediction model is constructed through a deep learning algorithm to dynamically optimize the operating parameters of the primary and secondary reverse osmosis membrane groups; S9. When the pollution index output by the membrane pollution prediction model exceeds the threshold, the chemical cleaning program is automatically triggered to inject a mixed cleaning agent of citric acid and EDTA into the reverse osmosis membrane group; S10, centrifugally dehydrating the crystalline solid, and returning the mother liquor to the softening resin exchange unit in step S2 for recycling.

[0008] Preferably, step S1 specifically includes: S11, extracting raw water from the wastewater pool of the petroleum coke production line through a multi-channel sampling pump; S12. Use an online water quality analyzer to detect the COD, hardness, suspended solids concentration, conductivity, pH value and temperature parameters of the raw water in real time; S13. Generate a raw water quality characteristic matrix Q based on the detection data, where Q = COD, hardness, suspended solids, conductivity, pH, and temperature.

[0009] Preferably, the operation of the multi-stage pretreatment system in step S2 satisfies: S21, quartz sand filter unit uses quartz sand filter material with a particle size of 1mm, and the filtration flow rate is controlled at 10m / h; S22, activated carbon adsorption unit uses coal-based columnar activated carbon, contact time is greater than 25 minutes, and iodine adsorption value is greater than 950mg / g; S23, the softening resin exchange unit is loaded with strong acidic cationic resin, and the regeneration cycle is dynamically adjusted according to the hardness of the influent water; S24, the ozone catalytic oxidation unit uses TiO2-loaded MnOx catalyst, the ozone dosage is 40 mg / L, and the reaction time is 40 minutes.

[0010] Preferably, the method for optimizing the operating parameters of the first-stage reverse osmosis membrane group in step S3 is: S31. Establish the transmembrane pressure difference-water production flux relationship function:

[0011] in is the water production flux, is the membrane permeability coefficient, is the operating pressure, is the osmotic pressure difference; S32, real-time acquisition through pressure sensor ,when Automatically increase when it drops 10% 0.2MPa.

[0012] Preferably, the electrodialysis concentration system of step S5 includes: S51, using homogeneous anion and cation exchange membranes arranged alternately to form concentration chambers and desalination chambers; S52, applying a DC voltage gradient of 20 V / cm, the TDS of the concentrating chamber is increased to 90 g / L; S53: The electrodialysis-produced water is returned to the activated carbon adsorption unit in step S2 for reuse.

[0013] Preferably, the vibrating fluidized bed crystallization system of step S6 satisfies: S61, an ultrasonic vibration plate is set in the crystallization reactor, and the vibration frequency is 30kHz; S62, control the mother liquor supersaturation to 1.3 and the crystallization temperature to 45°C; S63. The moisture content of the separated crystalline solid is less than 5%, and the mother liquor recycling rate is greater than 95%.

[0014] Preferably, the deep learning algorithm of step S8 specifically includes: S81. Build an LSTM neural network model, where the input layer receives the inlet water pressure, produced water conductivity, and operating time parameters; S82, output layer generated film pollution index , calculation formula:

[0015] in is the Sigmoid function, is the input weight, is the hidden layer weight, is the bias term; S83, when When the water production flux is automatically reduced to 1596 and an early warning is activated.

[0016] Preferably, the chemical cleaning procedure of step S9 is: S91, prepare a citric acid-EDTA mixed cleaning agent with a pH of 3.5 and a concentration ratio of 3:1; S92, circulate and flush the membrane group at a flow rate of 0.5 m / s for 60 minutes; S93. Use 40℃ softened water to backwash for 30 minutes to restore the membrane flux.

[0017] Preferably, the centrifugal dehydration process in step S10 satisfies: S101, using a horizontal spiral centrifuge, the speed is 2800rpm; S102, the crystalline solid after centrifugation is packaged as an industrial raw material with a moisture content of less than 8%; S103, the mother liquor is returned to the softening resin unit for regeneration, and the number of cycles is greater than 10 times.

[0018] Compared with the prior art, the present invention provides a high-efficiency two-stage reverse osmosis petroleum coke water treatment system with the following beneficial effects: 1. In the present invention, a multi-stage pretreatment execution end is set up, and a step-by-step mechanism is established in the early stage of wastewater treatment. Quartz sand is used to intercept large-particle suspended solids, activated carbon adsorption and degradation of organic matter, softening resin replacement and removal of scale-causing ions, ozone catalytic oxidation and decomposition of difficult-to-degrade pollutants, and an innovative redox potential dynamic control mechanism is introduced. According to the water quality, the dosage of the oxidant is automatically adjusted to improve the anti-scaling ability. This design solves the clogging problem caused by high-hardness wastewater, extends the membrane and system stability solution cycle, and reduces the frequency of chemical cleaning and the consumption of reagents.

[0019] 2. In the present invention, by configuring a pressure-adaptive reverse osmosis core end and innovatively adopting a gradient pressure membrane treatment process, after the primary desalination of the first-stage reverse osmosis, the second-stage reverse osmosis implements deep purification, and combines with artificial intelligence algorithms to monitor the dynamic attenuation of membrane performance in real time. When a pollution trend is detected, a customized cleaning program is automatically triggered to maintain the balance of transmembrane pressure difference, improve desalination efficiency and water stability, and build a linkage mechanism of pollution warning and closure, thereby avoiding membrane damage caused by manual intervention delays and extending the use of membrane elements.

[0020] 3. In the present invention, a three-stage conversion path is constructed by integrating the electrodialysis-crystallization synergistic regeneration end. The electrodialysis efficient fractionation acoustic field regulates the crystallization kinetics process, and centrifugal dehydration produces high-purity solid products. This design creatively achieves near-zero emission circulation of the mother liquor, forming a complete closed-loop resource recovery. Compared with traditional disposal processes, it reduces energy consumption and hazardous waste generation. The purity of the crystallization product meets industrial standards, promoting the transformation to clean production.

[0021] 4. In this invention, by deploying data feedback and cloud-based management and control modules, key operating parameters are tracked in real time and an energy efficiency optimization model is established. When the status deviates from the optimal operating condition, graded alarms are automatically triggered to achieve remote diagnosis and predictive maintenance. This mechanism improves system robustness, reduces the risk of unplanned downtime, and provides an intelligent operation and management paradigm for wastewater treatment facilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 Schematic diagram of the overall system architecture of the present invention; Figure 2 It is the overall system flow chart of the present invention. DETAILED DESCRIPTION

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0024] See also Figure 1-2 ,This is a high-efficiency two-stage reverse osmosis petroleum coke water treatment system.

[0025] It should be noted that in this article, such as the first and second DETAILED DESCRIPTION

[0026] Example 1 The petroleum coke production workshop of a certain refinery uses this system to treat high-salt wastewater. The specific implementation process is as follows: the system includes a pretreatment execution end, a reverse osmosis core end, a concentration and regeneration end, and an intelligent control end, all configured with a data feedback module; The pretreatment execution end uses a quartz sand filter to intercept suspended solids larger than 20μm, and the activated carbon adsorption tank is linked to adsorb COD to less than 100mg / L. The softening resin tank reduces the inlet water hardness to less than 50mg / LCaCO3. The redox potential (ORP) value of the ozone catalytic reactor is monitored in real time. When the ORP value is less than 300mV, the ozone dosage is automatically increased by 10%; The reverse osmosis core removes 90% of salt through the first-stage reverse osmosis membrane group at an operating pressure of 2.0 MPa, and the second-stage reverse osmosis membrane group deeply desalinates to a water conductivity of less than 50 μS / cm at a pressure of 3.1 MPa. A pressure sensor is equipped to trigger the membrane cleaning protocol in real time. At the concentration and regeneration end, the TDS of the reverse osmosis concentrate is increased to 90g / L through an electrodialysis device. A vibrating fluidized bed crystallizer is then used to generate crystalline solids with a particle size of 0.9mm in a 40kHz ultrasonic field. The solid product with a moisture content of less than 5% after centrifugal dehydration is then transported to the packaging line. The intelligent control terminal uses an LSTM processor to build a membrane fouling index prediction model, dynamically adjusting the reverse osmosis operating pressure by ±0.3 MPa. When the fouling index is greater than 0.85, it initiates an EDTA-citric acid mixed cleaning cycle and controls the mother liquor reuse rate to greater than 95%. The data feedback module uploads COD removal rate, desalination rate and energy consumption data to the cloud server in real time through the industrial Internet of Things platform. When the system energy efficiency ratio is less than 0.35kWh / m³, a three-level sound and light alarm is triggered; The following steps are involved: S1. Collect raw water from petroleum coke wastewater, perform real-time detection of water quality parameters on the raw water, and generate raw water quality data; S2. Based on the raw water quality data, performing physical and chemical synergistic treatment on the raw water through a multi-stage pretreatment system to generate pretreated water, wherein the multi-stage pretreatment system includes a quartz sand filtration unit, an activated carbon adsorption unit, a softening resin exchange unit, and an ozone catalytic oxidation unit; S3. The pretreated water is transported to the primary reverse osmosis membrane group for primary desalination treatment to generate primary product water and primary concentrate, and the inlet pressure, product water flow rate and desalination rate of the primary reverse osmosis membrane group are monitored in real time; S4. The primary produced water is transported to the secondary reverse osmosis membrane group for deep desalination treatment to generate secondary produced water and secondary concentrated liquid, and the transmembrane pressure difference and produced water conductivity of the secondary reverse osmosis membrane group are dynamically monitored; S5. Mix the primary concentrate and the secondary concentrate, and perform ion separation treatment through an electrodialysis concentration system to generate electrodialysis product water and electrodialysis concentrate; S6. transporting the electrodialysis concentrate to a vibrating fluidized bed crystallization system for solid-liquid separation to generate crystalline solid and recyclable mother liquor; S7, post-processing the secondary produced water, and generating the final produced water through the pH intelligent adjustment unit and the ultraviolet disinfection unit in sequence; S8. Based on the monitoring data of steps S3 and S4, a membrane fouling prediction model is constructed through a deep learning algorithm to dynamically optimize the operating parameters of the primary and secondary reverse osmosis membrane groups; S9. When the pollution index output by the membrane pollution prediction model exceeds the threshold, the chemical cleaning program is automatically triggered to inject a mixed cleaning agent of citric acid and EDTA into the reverse osmosis membrane group; S10, centrifugally dehydrating the crystalline solid, and returning the mother liquor to the softening resin exchange unit in step S2 for recycling; Step S1 specifically includes: S11, extracting raw water from the wastewater pool of the petroleum coke production line through a multi-channel sampling pump; S12. Use an online water quality analyzer to detect the COD, hardness, suspended solids concentration, conductivity, pH value and temperature parameters of the raw water in real time; S13. Generate a raw water quality characteristic matrix Q based on the test data, where Q = COD, hardness, suspended solids, conductivity, pH, and temperature; The operation of the multi-stage pretreatment system in step S2 satisfies: S21, quartz sand filter unit uses quartz sand filter material with a particle size of 1mm, and the filtration flow rate is controlled at 10m / h; S22, activated carbon adsorption unit uses coal-based columnar activated carbon, contact time is greater than 25 minutes, and iodine adsorption value is greater than 950mg / g; S23, the softening resin exchange unit is loaded with strong acidic cationic resin, and the regeneration cycle is dynamically adjusted according to the hardness of the influent water; S24, ozone catalytic oxidation unit uses TiO2 loaded MnOx catalyst, ozone dosage is 40mg / L, reaction time is 40 minutes; The method for optimizing the operating parameters of the first-stage reverse osmosis membrane group in step S3 is: S31. Establish the transmembrane pressure difference-water production flux relationship function:

[0027] in is the water production flux, is the membrane permeability coefficient, is the operating pressure, is the osmotic pressure difference; S32, real-time acquisition through pressure sensor ,when Automatically increase when it drops 10% 0.2MPa; The electrodialysis concentration system of step S5 includes: S51, using homogeneous anion and cation exchange membranes arranged alternately to form concentration chambers and desalination chambers; S52, applying a DC voltage gradient of 20 V / cm, the TDS of the concentrating chamber is increased to 90 g / L; S53, the electrodialysis produced water is returned to the activated carbon adsorption unit in step S2 for reuse; The vibrating fluidized bed crystallization system of step S6 satisfies: S61, an ultrasonic vibration plate is set in the crystallization reactor, and the vibration frequency is 30kHz; S62, control the mother liquor supersaturation to 1.3 and the crystallization temperature to 45°C; S63, the moisture content of the separated crystalline solid is less than 5%, and the mother liquor recycling rate is greater than 95%; The deep learning algorithm of step S8 specifically includes: S81. Build an LSTM neural network model, where the input layer receives the inlet water pressure, produced water conductivity, and operating time parameters; S82, output layer generated film pollution index , calculation formula:

[0028] in is the Sigmoid function, is the input weight, is the hidden layer weight, is the bias term; S83, when When the water flux is automatically reduced to 1596 and an early warning is activated; The chemical cleaning procedure of step S9 is: S91, prepare a citric acid-EDTA mixed cleaning agent with a pH of 3.5 and a concentration ratio of 3:1; S92, circulate and flush the membrane group at a flow rate of 0.5 m / s for 60 minutes; S93, backwash with 40℃ softened water for 30 minutes to restore membrane flux; The centrifugal dehydration process in step S10 satisfies: S101, using a horizontal spiral centrifuge, the speed is 2800rpm; S102, the crystalline solid after centrifugation is packaged as an industrial raw material with a moisture content of less than 8%; S103, the mother liquor is returned to the softening resin unit for regeneration, and the number of cycles is greater than 10 times.

[0029] 1. Preprocessing stage After the raw wastewater passes through a quartz sand filter to remove coke particles, it enters an adsorption tank filled with coal-based activated carbon and stays there for 30 minutes. The COD drops to 280 mg / L. The softening resin tank is loaded with strong acidic cation exchange resin to control the calcium and magnesium ion concentrations below 45 mg / L. Ozone is introduced into the ozone catalytic reactor at a dosage of 40 mg / L. Benzene series compounds are oxidized under the action of the TiO2-MnOx catalyst. The ORP sensor monitoring value is stable at 320 mV, and the dosing increase program is not triggered.

[0030] 2. Two-stage reverse osmosis desalination stage The pretreated water enters the first-stage reverse osmosis membrane group, which produces water with a desalination rate of 92% at an operating pressure of 2.0 MPa, while retaining the concentrate. The second-stage reverse osmosis membrane group reduces the conductivity of the produced water to 42 μS / cm at a pressure of 3.2 MPa. When the LSTM model detects that the inlet pressure rises by 0.4 MPa within 8 hours, the system automatically reduces the flux by 10% and prepares for the cleaning procedure.

[0031] 3. Concentrate resource utilization stage The mixed concentrate entered the electrodialysis device and operated at a voltage gradient of 20 V / cm for 90 minutes. The TDS of the concentration chamber increased to 92 g / L. The resulting concentrated water was input into a vibrating fluidized bed crystallizer to control the solution supersaturation at 1.3. Sodium sulfate crystals with an average particle size of 0.8 mm were grown in an ultrasonic field at 45°C and 35 kHz. After dehydration in a horizontal centrifuge at 3000 rpm for 5 minutes, crystals with a water content of 4.7% were produced. The recoverable mother liquor accounted for 96% of the total volume.

[0032] 4. Intelligent management and control stage The data feedback module shows in real time that the energy consumption per ton of water is 27.8kWh / m³, the total COD removal rate is 99.2%, and the pollution index reaches 0.87 after the system has been running continuously for 36 days. EDTA-citric acid cleaning is triggered, and a mixed cleaning agent with pH 3.5 is prepared in a 3:1 ratio. The system is circulated and flushed at a flow rate of 0.5m / s for 55 minutes. The reverse osmosis membrane flux has recovered to 98% of its initial value.

[0033] Example 2 A petroleum coke deep processing enterprise uses this system to treat high-concentration salt-containing wastewater. The implementation process is as follows: 1. Pretreatment deep purification After the tar particles are intercepted by the quartz sand filter, the raw wastewater enters the activated carbon adsorption tank and is filled with columnar activated carbon with an iodine value of 980 mg / g for adsorption for 45 minutes. The COD drops to 190 mg / L. The strong acid cationic resin in the softening resin tank is dynamically regenerated to stabilize the calcium and magnesium ions below 48 mg / L. Ozone is introduced into the ozone catalytic unit at a dosage of 45 mg / L. Polycyclic aromatic hydrocarbons are oxidized under the action of the TiO2-CeO2 composite catalyst. The ORP value is maintained at 335 mV without triggering regulation.

[0034] 2. Two-stage reverse osmosis intelligent desalination The pretreated water enters the first-stage reverse osmosis membrane group, producing primary water with a TDS of 1650 mg / L at an operating pressure of 1.8 MPa. The second-stage reverse osmosis membrane group performs deep desalination at a pressure of 3.0 MPa, and the conductivity of the produced water is stabilized at 38 μS / cm. When the pressure sensor detects a sudden increase of 0.25 MPa in the inter-membrane pressure difference within 2 hours, the LSTM model determines that the pollution index reaches 0.83, immediately reduces the water flux by 12%, and preheats the cleaning system.

[0035] 3. Closed-loop disposal of resources The mixed concentrate was treated by an electrodialysis device, and the TDS in the concentration chamber was concentrated to 96g / L before being pumped into a vibrating fluidized bed crystallizer. At 40°C and a supersaturation of 1.25, a 35kHz ultrasonic field promoted regular crystal growth. After centrifugal dehydration, mixed salt crystals with a moisture content of 4.3% were produced. The reusable mother liquor accounted for 97% of the total amount. XRD testing showed that the crystallization product had a crystallinity of 98.3%.

[0036] 4. Intelligent early warning and recovery On the 29th day of system operation, cloud-based monitoring detected that the energy consumption per ton of water had risen to 29.5kWh / m³. The automatic diagnosis module traced the source and found that the exchange capacity of the softening resin had dropped to 78%. The system immediately started the brine regeneration program and simultaneously issued a three-level sound and light alarm. After regeneration, the resin recovered 92% of its exchange capacity, and the energy consumption per ton of water dropped back to 27.2kWh / m³.

[0037] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0038] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A high-efficiency two-stage reverse osmosis petroleum coke water treatment system, characterized by: The system includes a pretreatment execution end, a reverse osmosis core end, a concentration and regeneration end, and an intelligent control end, which are jointly configured with a data feedback module; The pretreatment execution end uses a quartz sand filter to intercept suspended solids larger than 20μm, and is linked to an activated carbon adsorption tank to adsorb COD to less than 100mg / L. The softening resin tank reduces the inlet water hardness to less than 50mg / LCaCO3. The redox potential (ORP) value of the ozone catalytic reactor is monitored in real time. When the ORP value is less than 300mV, the ozone dosage is automatically increased by 10%; The reverse osmosis core removes 90% of salt through the first-stage reverse osmosis membrane group at an operating pressure of 2.0 MPa, and the second-stage reverse osmosis membrane group deeply desalinates to a water conductivity of less than 50 μS / cm at a pressure of 3.1 MPa. A pressure sensor is equipped to trigger the membrane cleaning protocol in real time. The concentration and regeneration end increases the TDS of the reverse osmosis concentrate to 90g / L through an electrodialysis device, and is linked to a vibrating fluidized bed crystallizer to generate a crystalline solid with a particle size of 0.9mm in a 40kHz ultrasonic field. The solid product with a moisture content of less than 5% after centrifugal dehydration is transported to the packaging line; The intelligent control terminal uses an LSTM processor to build a membrane fouling index prediction model, dynamically adjusts the reverse osmosis operating pressure by ±0.3 MPa, initiates an EDTA-citric acid mixed cleaning cycle when the fouling index is greater than 0.85, and controls the mother liquor reuse rate to greater than 95%; The data feedback module uploads COD removal rate, desalination rate and energy consumption data to the cloud server in real time through the industrial Internet of Things platform. When the system energy efficiency ratio is less than 0.35kWh / m³, a three-level sound and light alarm is triggered.

2. The high-efficiency two-stage reverse osmosis petroleum coke water treatment system according to claim 1, characterized in that: The following steps are involved: S1. Collect raw water from petroleum coke wastewater, perform real-time detection of water quality parameters on the raw water, and generate raw water quality data; S2. Based on the raw water quality data, performing physical and chemical synergistic treatment on the raw water through a multi-stage pretreatment system to generate pretreated water, wherein the multi-stage pretreatment system includes a quartz sand filtration unit, an activated carbon adsorption unit, a softening resin exchange unit, and an ozone catalytic oxidation unit; S3. The pretreated water is transported to the primary reverse osmosis membrane group for primary desalination treatment to generate primary product water and primary concentrate, and the inlet pressure, product water flow rate and desalination rate of the primary reverse osmosis membrane group are monitored in real time; S4. The primary produced water is transported to the secondary reverse osmosis membrane group for deep desalination treatment to generate secondary produced water and secondary concentrated liquid, and the transmembrane pressure difference and produced water conductivity of the secondary reverse osmosis membrane group are dynamically monitored; S5. Mix the primary concentrate and the secondary concentrate, and perform ion separation treatment through an electrodialysis concentration system to generate electrodialysis product water and electrodialysis concentrate; S6. transporting the electrodialysis concentrate to a vibrating fluidized bed crystallization system for solid-liquid separation to generate crystalline solid and recyclable mother liquor; S7, post-processing the secondary produced water, and generating the final produced water through the pH intelligent adjustment unit and the ultraviolet disinfection unit in sequence; S8. Based on the monitoring data of steps S3 and S4, a membrane fouling prediction model is constructed through a deep learning algorithm to dynamically optimize the operating parameters of the primary and secondary reverse osmosis membrane groups; S9. When the pollution index output by the membrane pollution prediction model exceeds the threshold, the chemical cleaning program is automatically triggered to inject a mixed cleaning agent of citric acid and EDTA into the reverse osmosis membrane group; S10, centrifugally dehydrating the crystalline solid, and returning the mother liquor to the softening resin exchange unit in step S2 for recycling.

3. The high-efficiency two-stage reverse osmosis petroleum coke water treatment system according to claim 2, characterized in that: Step S1 specifically includes: S11, extracting raw water from the wastewater pool of the petroleum coke production line through a multi-channel sampling pump; S12. Use an online water quality analyzer to detect the COD, hardness, suspended solids concentration, conductivity, pH value and temperature parameters of the raw water in real time; S13. Generate a raw water quality characteristic matrix Q based on the detection data, where Q = COD, hardness, suspended solids, conductivity, pH, and temperature.

4. The high-efficiency two-stage reverse osmosis petroleum coke water treatment system according to claim 2, characterized in that: The operation of the multi-stage pretreatment system in step S2 satisfies: S21, quartz sand filter unit uses quartz sand filter material with a particle size of 1mm, and the filtration flow rate is controlled at 10m / h; S22, activated carbon adsorption unit uses coal-based columnar activated carbon, contact time is greater than 25 minutes, and iodine adsorption value is greater than 950mg / g; S23, the softening resin exchange unit is loaded with strong acidic cationic resin, and the regeneration cycle is dynamically adjusted according to the hardness of the influent water; S24, the ozone catalytic oxidation unit uses TiO2-loaded MnOx catalyst, the ozone dosage is 40 mg / L, and the reaction time is 40 minutes.

5. The high-efficiency two-stage reverse osmosis petroleum coke water treatment system according to claim 2, characterized in that: The method for optimizing the operating parameters of the first-stage reverse osmosis membrane group in step S3 is: S31. Establish the transmembrane pressure difference-water production flux relationship function: in is the water production flux, is the membrane permeability coefficient, is the operating pressure, is the osmotic pressure difference; S32, real-time acquisition through pressure sensor ,when Automatically increase when it drops 10% 0.2MPa.

6. The high-efficiency two-stage reverse osmosis petroleum coke water treatment system according to claim 2, characterized in that: The electrodialysis concentration system of step S5 includes: S51, using homogeneous anion and cation exchange membranes arranged alternately to form concentration chambers and desalination chambers; S52, applying a DC voltage gradient of 20 V / cm, the TDS of the concentrating chamber is increased to 90 g / L; S53: The electrodialysis-produced water is returned to the activated carbon adsorption unit in step S2 for reuse.

7. The high-efficiency two-stage reverse osmosis petroleum coke water treatment system according to claim 2, characterized in that: The vibrating fluidized bed crystallization system of step S6 satisfies: S61, an ultrasonic vibration plate is set in the crystallization reactor, and the vibration frequency is 30kHz; S62, control the mother liquor supersaturation to 1.3 and the crystallization temperature to 45°C; S63. The moisture content of the separated crystalline solid is less than 5%, and the mother liquor recycling rate is greater than 95%.

8. The high-efficiency two-stage reverse osmosis petroleum coke water treatment system according to claim 2, characterized in that: The deep learning algorithm of step S8 specifically includes: S81. Build an LSTM neural network model, where the input layer receives the inlet water pressure, produced water conductivity, and operating time parameters; S82, output layer generated film pollution index , calculation formula: in is the Sigmoid function, is the input weight, is the hidden layer weight, is the bias term; S83, when When the water production flux is automatically reduced to 1596 and an early warning is activated.

9. The high-efficiency two-stage reverse osmosis petroleum coke water treatment system according to claim 2, characterized in that: The chemical cleaning procedure of step S9 is: S91, prepare a citric acid-EDTA mixed cleaning agent with a pH of 3.5 and a concentration ratio of 3:1; S92, circulate and flush the membrane group at a flow rate of 0.5 m / s for 60 minutes; S93. Use 40℃ softened water to backwash for 30 minutes to restore the membrane flux.

10. The high-efficiency two-stage reverse osmosis petroleum coke water treatment system according to claim 2, characterized in that: The centrifugal dehydration process in step S10 satisfies: S101, using a horizontal spiral centrifuge, the speed is 2800rpm; S102, the crystalline solid after centrifugation is packaged as an industrial raw material with a moisture content of less than 8%; S103, the mother liquor is returned to the softening resin unit for regeneration, and the number of cycles is greater than 10 times.

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