CN114768304A - Kitchen residue leachate grease separation method and system - Google Patents
Kitchen residue leachate grease separation method and system Download PDFInfo
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- 239000004519 grease Substances 0.000 title claims abstract description 35
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- 238000013499 data model Methods 0.000 claims abstract description 75
- 238000000034 method Methods 0.000 claims abstract description 44
- 238000003756 stirring Methods 0.000 claims abstract description 28
- 238000010438 heat treatment Methods 0.000 claims abstract description 24
- 238000005191 phase separation Methods 0.000 claims abstract description 11
- 239000002893 slag Substances 0.000 claims abstract description 10
- 238000012935 Averaging Methods 0.000 claims abstract description 7
- 239000007788 liquid Substances 0.000 claims description 14
- 230000003993 interaction Effects 0.000 claims description 12
- 238000004364 calculation method Methods 0.000 claims description 10
- 239000002245 particle Substances 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 5
- 239000012530 fluid Substances 0.000 claims description 5
- 238000002386 leaching Methods 0.000 claims description 3
- 239000000463 material Substances 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 2
- 230000004913 activation Effects 0.000 claims 1
- 230000000694 effects Effects 0.000 abstract description 19
- 239000012071 phase Substances 0.000 description 76
- 230000008569 process Effects 0.000 description 16
- 238000010586 diagram Methods 0.000 description 12
- 238000000605 extraction Methods 0.000 description 10
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- 230000003068 static effect Effects 0.000 description 6
- 238000001514 detection method Methods 0.000 description 5
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- XWIYFDMXXLINPU-UHFFFAOYSA-N Aflatoxin G Chemical compound O=C1OCCC2=C1C(=O)OC1=C2C(OC)=CC2=C1C1C=COC1O2 XWIYFDMXXLINPU-UHFFFAOYSA-N 0.000 description 2
- 239000005409 aflatoxin Substances 0.000 description 2
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- LQJBNNIYVWPHFW-UHFFFAOYSA-N 20:1omega9c fatty acid Natural products CCCCCCCCCCC=CCCCCCCCC(O)=O LQJBNNIYVWPHFW-UHFFFAOYSA-N 0.000 description 1
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- 239000005642 Oleic acid Substances 0.000 description 1
- 235000021355 Stearic acid Nutrition 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 239000003225 biodiesel Substances 0.000 description 1
- 239000003183 carcinogenic agent Substances 0.000 description 1
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- 238000013461 design Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D17/00—Separation of liquids, not provided for elsewhere, e.g. by thermal diffusion
- B01D17/02—Separation of non-miscible liquids
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D17/00—Separation of liquids, not provided for elsewhere, e.g. by thermal diffusion
- B01D17/005—Separation of liquids, not provided for elsewhere, e.g. by thermal diffusion by thermal diffusion
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D17/00—Separation of liquids, not provided for elsewhere, e.g. by thermal diffusion
- B01D17/12—Auxiliary equipment particularly adapted for use with liquid-separating apparatus, e.g. control circuits
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F1/00—Treatment of water, waste water, or sewage
- C02F1/40—Devices for separating or removing fatty or oily substances or similar floating material
-
- C—CHEMISTRY; METALLURGY
- C02—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F—TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
- C02F2103/00—Nature of the water, waste water, sewage or sludge to be treated
- C02F2103/06—Contaminated groundwater or leachate
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02W—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
- Y02W30/00—Technologies for solid waste management
- Y02W30/50—Reuse, recycling or recovery technologies
- Y02W30/74—Recovery of fats, fatty oils, fatty acids or other fatty substances, e.g. lanolin or waxes
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- Thermal Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Analytical Chemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Hydrology & Water Resources (AREA)
- Engineering & Computer Science (AREA)
- Environmental & Geological Engineering (AREA)
- Water Supply & Treatment (AREA)
- Organic Chemistry (AREA)
- Fats And Perfumes (AREA)
Abstract
The invention discloses a method and a system for separating grease from kitchen residue percolate, wherein the separation method comprises the steps of collecting percolate to be separated in proportion; performing steam heating and stirring on the percolate to be separated according to a data model, and obtaining the kinematic viscosity of the percolate to be separated; carrying out three-phase separation on the percolate to be separated after steam heating and stirring according to kinematic viscosity to obtain a water phase, an oil phase and a slag phase; detecting the oil content of the separated water phase; detecting the water content of the separated oil phase; judging whether the absolute values of the differences between the oil content in the water phase and the water content in the oil phase and a preset threshold value are smaller than a set value or not; and weighting and averaging the stored groups of corrected data models to obtain an optimal data model. According to the invention, the dynamic viscosity of the percolate under different stirring states is obtained by setting a data model, so that the separation effect of a three-phase separator is controlled by the dynamic viscosity, and the subsequent separation operation is carried out on the premise of obtaining an optimal data model for separating the percolate.
Description
Technical Field
The invention relates to the technical field of kitchen residue treatment, in particular to a method and a system for separating leachate oil from kitchen residues.
Background
The kitchen leachate is a waste product formed in the process of life and consumption, mainly comes from kitchen residues such as leftover residues of restaurants, dining rooms, dining halls and the like, is the most important component part and the most difficult part to treat in the kitchen residues, and because the leachate contains a large amount of grease, the leachate is extremely difficult to treat due to the high content of the grease, and a large amount of aflatoxin is easily generated after the grease is fermented, and the aflatoxin is a carcinogenic substance and can cause serious harm to human health. However, the waste oil in the kitchen residue leachate is an ideal oil raw material for producing products such as biodiesel, stearic acid, oleic acid, daily chemical industry and the like, so that the kitchen residue leachate can be recycled and has high recycling value, and therefore, the kitchen residue leachate has clear waste and resource duality, how to reasonably treat the kitchen residue leachate, reduce the hazard of the kitchen residue leachate, realize recycling, and have great significance for guaranteeing the health of people and developing circulation.
In the kitchen leachate, grease mainly exists in the kitchen leachate in a solid form, so that the grease is difficult to separate by the traditional method, and a wet-heat method is a novel effective treatment method researched in recent years. But in the actual processing in-process, the filtration liquid temperature heats too high, can lead to waste oil fat emulsification then get into the aquatic and influence the oil extraction effect, if the heating temperature crosses lowly then can lead to oil-water separation incomplete, and then influences the separation effect and make still remain a large amount of greases in the filtration liquid, and the separation effect is not good for the process flow of subsequent stage is extremely difficult to control.
In addition, the existing treatment process is usually completed under a static treatment process, namely after leachate is collected, the leachate is conveyed into a cooking tank by a pump, then steam is injected into the cooking tank, when the water temperature is raised to a certain state, if the temperature is heated to about 70 ℃, steam heating is stopped, then the leachate in the cooking tank is conveyed into a three-phase separator by a screw pump for oil-water separation, the whole treatment process is single, and dynamic separation control cannot be performed on leachate with different characteristics obtained from different sources (such as different regions, different seasons and other factors can influence the characteristics of the leachate), so that the oil extraction rate is low, the energy consumption is high, the oil-fat characteristic after separation is poor, the water content in oil is high, and the wide application cannot be performed.
Disclosure of Invention
In order to overcome the problems in the prior art, the invention provides a method and a system for separating oil from leachate of kitchen residues, and solves the technical problems of poor oil characteristics, water content in oil and incapability of wide application caused by leachate separation under a static treatment process in the prior art.
One of the purposes of the invention is to provide a method for separating leachate oil from kitchen residues, which comprises the following steps:
collecting the percolate to be separated according to the proportion;
performing steam heating and stirring on the percolate to be separated according to a data model, and obtaining the kinematic viscosity mu of the percolate to be separated;
carrying out three-phase separation on the percolate to be separated after the steam is heated and stirred according to the kinematic viscosity mu to obtain a water phase, an oil phase and a slag phase;
detecting the oil content of the separated water phase;
detecting the water content of the separated oil phase;
judging whether the absolute value of the difference between the oil content in the water phase and a preset threshold value is smaller than a set value xi 1 or not, and judging whether the absolute value of the difference between the water content in the oil phase and the preset threshold value is smaller than a set value xi 2 or not;
if the judgment result is negative, adjusting and regulating the data model, and returning to repeatedly execute the steps;
if yes, storing the adjusted data model, the corresponding oil content in the water phase and the corresponding water content in the oil phase, adjusting the data model, and returning to repeatedly execute the steps;
and weighting and averaging the stored plurality of groups of adjusted data models to obtain an optimal data model.
As an optimization scheme, the method also comprises the following steps:
presetting initial values of all correlation factors in the data model;
as an optimization scheme, the method further comprises the following steps:
presetting a threshold value of the oil content in the water phase;
the threshold value of the water content in the oil phase is preset.
As an optimization scheme, each correlation factor in the data model includes: initial temperature, heating time, pressure, stirring time, standing time, stirring frequency, water inlet temperature and water inlet flow.
As an optimization scheme, the leachate to be separated after steam heating and stirring is subjected to three-phase separation according to the kinematic viscosity of the leachate to be separated to obtain a water phase, an oil phase and a slag phase, and the separation control is performed according to the following calculation formula under the set separation conditions: u. of0D2(ρ s- ρ) g/18 μ, where u0Is the settling velocity of suspended oil droplets when u0<When 0 hour, the suspended oil drops float upwards; d is the particle diameter of the suspended oil drop, and rho s is the particle density of the suspended oil drop; ρ is the fluid density; mu is the kinematic viscosity of the percolate.
Another purpose of the invention is to provide a kitchen residue leachate grease separation system, which comprises an equipment unit and a control unit, wherein,
the apparatus unit includes:
the percolate collecting tank is used for collecting percolate to be separated in proportion;
the reaction device is communicated with the percolate collecting tank through a pipeline and is used for extracting percolate to be separated from the percolate collecting tank and carrying out steam heating and stirring according to a data model to obtain related separation parameters;
the three-phase separator is communicated with the reaction device through a pipeline and is used for extracting the percolate to be separated after steam is extracted, heated and stirred from the reaction device and separating the percolate according to the relevant separation parameters to obtain a water phase, an oil phase and a slag phase;
the water oil-containing detector is used for detecting the oil content of the separated water phase;
a water-in-oil detector for detecting the water content in the separated oil phase;
the control unit includes:
a PLC controller, comprising:
the judging module is used for judging whether the absolute value of the difference between the oil content in the water phase and a preset threshold value is smaller than a set value xi 1 or not and judging whether the absolute value of the difference between the water content in the oil phase and the preset threshold value is smaller than a set value xi 2 or not;
a numerical value setting module, which is used for presetting the initial value of each correlation factor in the data model, the threshold value of the oil content in the water phase and the threshold value of the water content in the oil phase;
a server system electrically connected to the PLC controller, the server system including:
the model modification module is used for adjusting the value of each correlation factor in the data model;
and the storage module is used for storing the adjusted data model, the oil content in the water phase and the water content in the oil phase when the judgment module judges that the data model is positive.
And the computing module is used for weighting and averaging the stored adjusted data models to obtain an optimal data model.
And the power control module is electrically connected with the PLC and used for providing power for the operation of the system.
The system also comprises a human-computer interaction module which is electrically connected with the PLC, is used for inputting values into the value setting module in advance and is also used for carrying out data interaction with the server system through the network communication module.
As an optimization scheme, the equipment unit also comprises an initial scoreA separation device connected between the percolate collecting tank and the reaction device by a pipeline and used for extracting percolate in the percolate collecting tank, and preliminarily extracting floating oil quantity C in the percolate to be separated after standing0。
As an optimization scheme, the PLC controller is further configured to obtain the total oil content C of the leachate to be separatedRFThe total oil content C of the percolate to be separatedRFThe following calculation formula is satisfied:
wherein, CRFThe total oil content; c0The amount of the floating oil extracted in the primary separation device; k is a leaching constant; t is a time constant; k is a radical of formula2v is the influence of the stirring intensity in the reaction apparatus; EN is the constant of the heating time and the material activity of the stirring intensity in the reaction device; r is the particle size of the liquid suspension in the reaction device.
As an optimized scheme, the equipment unit further comprises a plurality of delivery pumps and steam heating equipment, and the delivery pumps and the steam heating equipment are electrically connected with the power control module.
As an optimization scheme, the equipment unit further comprises a plurality of radar liquid level meters, a steam flow meter, a temperature sensor and a pressure sensor which are electrically connected with the PLC.
Compared with the prior art, the invention has the advantages that:
according to the invention, the motion viscosity values of the percolate under different stirring states are obtained by setting the data model, the separation effect of the three-phase separator is controlled by controlling the motion viscosity, the optimal data model is repeatedly verified until the optimal data model is found, and the subsequent separation scale operation is carried out on the premise of obtaining the optimal data model for separating the current percolate, namely, the preposed detection of the optimal separation effect of the percolate with different characteristics can be realized, the technical problems of poor grease quality, water content in oil and incapability of being widely applied caused by the fact that the percolate is separated under a static treatment process in the prior art are solved, the separation and oil extraction of the percolate reach the optimal state, and the waste of resources is reduced.
Drawings
Fig. 1 is a schematic flow diagram of a first embodiment of a method for separating grease from kitchen residue leachate according to the present invention;
fig. 2 is a schematic flow diagram of a second embodiment of the method for separating grease from kitchen residue leachate according to the present invention;
fig. 3 is a schematic flow diagram of a second embodiment of the method for separating grease from kitchen residue leachate according to the present invention;
fig. 4 is a schematic flow diagram of a fourth embodiment of the method for separating leachate oil from kitchen residues according to the present invention;
FIG. 5 is a schematic diagram of data model storage of the kitchen residue leachate grease separation method of the present invention;
fig. 6 is a schematic structural diagram of a first embodiment of the kitchen residue leachate grease separation system of the present invention;
fig. 7 is a schematic structural diagram of a second embodiment of the kitchen residue leachate grease separation system of the present invention;
wherein,
100-PLC controller, 200-server system, 300-power control module, 400-man-machine interaction module, 500-network communication module, 600-percolate collector, 700-reaction device, 800-three-phase separator, 900-water oil content detector, 1000-water-in-oil content detector, 1100-primary separation module, and,
1001-judgment module, 1002-value setting module,
2001-model modification module, 2002-storage module and 2003-calculation module.
Detailed Description
Hereinafter, in order to facilitate understanding of the technical solution of the present invention by those skilled in the art, further description will be made with reference to the accompanying drawings. It is to be understood that these descriptions are only illustrative and are not intended to limit the scope of the present invention.
In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the invention. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
Fig. 1 is a schematic flow chart of a first embodiment of the method for separating grease from leachate of kitchen residues, according to the present invention, the method includes the following steps:
and S101, collecting the percolate to be separated according to the proportion. Because the leachate has seasonal and regional differences, the content of the grease in the liquid is also greatly different. The traditional single static treatment mode has unstable oil extraction rate, poor oil quality and high water content and impurities in oil. Therefore, the method carries out pre-separation detection on the percolate with different characteristics obtained from different sources, and carries out subsequent large-scale separation operation under the condition of repeatedly measuring and calculating to obtain the optimal separation data model required by the current percolate.
S102, performing steam heating and stirring on the percolate to be separated according to a data model, and then obtaining the kinematic viscosity mu of the percolate to be separated. The step is mainly used for obtaining the kinematic viscosity of the current percolate according to the established data model. In the specific implementation process, each relevant factor in the data model can be set according to experience, such as initial temperature, heating time, pressure, standing time, stirring intensity, stirring frequency and inflow rate. These values can be set in the design.
S103, carrying out three-phase separation on the percolate to be separated after the steam is heated and stirred according to the kinematic viscosity mu to obtain a water phase, an oil phase and a slag phase. In a specific embodiment, this step can be implemented by a three-phase separator, which is mainly used to separate the oil and water in the leachate after high-temperature stirring in step 2. Under the condition that the rotating speed and the water inflow of the three-phase separator are fixed, the oil extraction efficiency of the three-phase separator is improved, the calculated kinematic viscosity is used as an index parameter for separating the leachate by the three-phase separator, the treatment difficulty and the dosing amount of the leachate at the rear end are reduced, and the treatment efficiency and the treatment cost of the leachate are improved.
And S104, detecting the oil content in the separated water phase, wherein the step is mainly used for detecting the oil content in the water phase after three-phase separation.
And S105, detecting the water content in the separated oil phase, wherein the step is mainly used for detecting the water content in the oil phase subjected to three-phase separation.
In specific implementation of the embodiment, under the condition of using the current data model, the oil content in the water phase and the water content in the oil phase after three-phase separation are obtained as measurement indexes of the separation efficiency.
S106, judging whether the absolute value of the difference between the oil content in the water phase and the preset threshold value is less than a set value xi1Judging whether the absolute value of the difference between the water content in the oil phase and a preset threshold value is less than a set value xi2. In particular embodiments, ξ may be set based on empirical values1And xi2The value of (c), a reference standard value, such as ξ may be set in a particular embodiment1≤3-5％，ξ2≤3-5％。
And S107, if the judgment result is no, the optimal separation effect cannot be achieved under the current data model, so that the current data model needs to be adjusted, the steps from the step S101 to the step S106 are returned, and the verification is repeated until the data model meeting the standard is found.
And S108, if the data model is judged to be yes, the obtained oil content in the water phase and the water content in the oil phase meet the requirement standard under the condition of the current data model, so that the expected separation effect can be achieved, namely the current data model, the corresponding oil content in the water phase and the corresponding water content in the oil phase are stored, and the data model can be used as a reference result for storage and application. Meanwhile, the data model is continuously adjusted, and the steps from S101 to S106 are repeatedly executed to obtain more data model groups.
During adjustment in S107 and S108, the adjustment range of each correlation factor may be implemented by using a successive approximation calculation method, so as to implement multiple verifications and gradually approach the effect of the optimal value. The successive approximation calculation method is more, and in the embodiment, as long as the effect required to be achieved can be achieved, no redundancy is made here.
S109, setting the number of repeated execution groups to be N times, and carrying out weighted averaging on a plurality of groups of stored modified data models to obtain an optimal data model, wherein in the specific implementation of the step, as shown in FIG. 5, the data models can be stored in a stacked storage structure mode according to the current control and process conditions, the data is stored for distinguishing according to different process conditions after being screened, if the current process conditions accord with the set storage index conditions in a certain period of time, all data models which accord with the conditions are called out, and the numerical values of the corresponding data models in the groups are subjected to weighted averaging operation to obtain the control mode of the optimal data model.
The invention obtains the filtration liquid kinematic viscosity values under different stirring states by setting the data model, further achieves the separation effect of controlling the three-phase separator by controlling the kinematic viscosity, can be repeatedly verified until finding out the optimal data model, and then carries out the subsequent separation operation on the premise of obtaining the optimal data model of the current filtration liquid, namely, the invention can realize the prepositive detection of the optimal separation effect of the filtration liquid with different characteristics, solves the technical problems of poor grease quality, water content in oil and incapability of wide application caused by the filtration liquid separation under the static treatment process in the prior art, leads the separation and oil extraction of the filtration liquid to achieve the optimal state, and reduces the waste of resources.
Fig. 2 is a schematic flow diagram of a second embodiment of the method for separating grease from leachate of kitchen residues according to the present invention, in the second embodiment, except for step S202, the method is the same as the second embodiment in correspondence, and is not repeated here, where the step S202 includes: initial values of the correlation factors in the data model are preset. In a specific embodiment, when performing the measurement and calculation for the first time, the initial values of the correlation factors corresponding to the data model can be set in advance through the human-computer interaction device.
Fig. 3 is a schematic flow diagram of a third embodiment of the method for separating oil from leachate of kitchen residues, the method is the same as the second embodiment except for step S3071 and step S3072, and details are not repeated here, where step S3071 includes: a predetermined threshold value for oil content in the aqueous phase. The step S3071 includes: a predetermined threshold value of the water content in the oil phase. In a specific embodiment, the threshold values of the oil content in the water phase and the water content in the oil phase can be preset through a human-computer interaction device so as to facilitate subsequent comparison and use.
Fig. 4 is a schematic flow diagram of a fourth embodiment of the method for separating grease from kitchen residue leachate according to the present invention, and the method is the same as the third embodiment except for step S404, and is not repeated herein. The step S404 includes: carrying out three-phase separation on the percolate to be separated after steam heating and stirring according to the kinematic viscosity of the percolate to be separated to obtain a water phase, an oil phase and a slag phase, and carrying out separation control according to the following calculation formula under the set separation condition: u. of0＝d2(ρ s- ρ) g/18 μ, (wherein u0To suspend the settling velocity of oil droplets, when u0<When 0 hour, the suspended oil drops float upwards; d is the particle diameter of the suspended oil drop, and rho s is the particle density of the suspended oil drop; ρ is the fluid density; mu is the kinematic viscosity of the percolate; g is a constant). In specific implementation, the method can be realized by adopting a three-phase separator, and under the condition that the separation condition is set, namely under the condition that the rotating speed and the liquid inlet amount of the three-phase separator are constant, the control of the separation effect of the three-phase separation is realized based on the stokes law. Stokes' law is the sedimentation law of spherical particles in liquid when the fluid flow is laminar, and in the formula, if u is separated from water0<0, the oil drops float upwards, so that the layering phenomenon occurs and follows u0The oil drop floating speed is gradually increased, thereby improving the oil-water separation efficiency. According to stokes law: floating velocity u of oil droplets0Proportional to the square of the diameter d of the oil drops, proportional to the density difference (rho s-rho) between the dispersion medium and the suspended oil drops and inversely proportional to the kinematic viscosity mu of the solution, i.e. the difference (rho s-rho) between the density of the dispersion medium and the density of the suspension increases, the kinematic viscosity mu decreases and the floating speed increases. According to the analysis, under the condition that the efficiency of the three-phase separator is constant, namely the rotating speed of the three-phase separator is determined, the rotating influence on the percolate in unit time tends to be constant, and the suspended oil drops are straightThe diameter d tends to be constant. Under the condition that the liquid inlet amount of the three-phase separator is fixed, the amount of air dissolved in the liquid of the percolate tends to be stable in unit time, so that the density difference (rho s-rho) between the fluid and the suspended oil drops is kept constant, the kinematic viscosity mu of the percolate is reduced by controlling the data value of each relevant factor in the data model, and the floating speed u of the oil drops can be increased0And further the effect of improving the oil-water separation efficiency of the percolate can be realized.
Fig. 6 is a schematic structural diagram of a first embodiment of the kitchen residue leachate grease separation system of the present invention, and as can be seen from fig. 6, the first embodiment of the present system includes two unit modules, namely an equipment unit and a control unit, wherein the whole equipment unit provides a heating effect through a steam heating device, and the equipment unit at least includes a leachate collection tank 600, a reaction device 700 and a three-phase separator 800. Wherein, the percolate collecting tank 600, the reaction device 700 and the three-phase separator 800 are mutually connected with a plurality of pneumatic regulating valves through an input pump, a pipeline. The reaction device 700 is connected with a radar level gauge, a temperature sensor and a pressure sensor which are electrically connected with the PLC in sequence and used as detection equipment, the percolate collecting tank 600 is used for collecting percolate to be separated from the outside in proportion, and the reaction device 700 is communicated with the percolate collecting tank 600 through a pipeline and used for extracting percolate to be separated from the percolate collecting tank 600 and carrying out steam heating stirring according to a data model so as to obtain the kinematic viscosity mu of the percolate to be separated. The three-phase separator is communicated with the reaction device 700 through a pipeline and is used for extracting the percolate to be separated after steam is extracted from the reaction device 700 and heated and stirred, and separating according to the obtained kinematic viscosity mu to obtain a water phase, an oil phase and a slag phase.
The first embodiment further comprises an oil-in-water detector 900 and a water-in-oil detector 1000, wherein the oil-in-water detector 900 is used for detecting the oil content in the separated water phase. The water-in-oil detector 1000 detects the water content in the separated oil phase. In the first embodiment, the detector may be an oil-water analyzer, which will not be described in detail herein.
In the first embodiment, the control unit at least includes a PLC controller 100, a server system 200, a power control module 300, a human-computer interaction module 400 and a network communication module 500, wherein the PLC controller 100 is electrically connected to the human-computer interaction module 400 and the power control module 300 respectively, the power control module 300 is used for providing power for system operation, and the human-computer interaction module 400 is further used for performing data interaction with the server system 200 through the network communication module 500.
In the first embodiment, the PLC controller 100 at least includes a determining module 1001 and a value setting module 1002, where the determining module 1001 is configured to determine whether an absolute value of a difference between an oil content in an aqueous phase and a predetermined threshold is smaller than a set value ξ1Judging whether the absolute value of the difference between the water content in the oil phase and a preset threshold value is less than a set value xi2The numerical value setting module 1002 is configured to preset an initial value of each correlation factor in the data model, a threshold value of an oil content in the water phase, and a threshold value of a water content in the oil phase. In this embodiment, the value setting module 1002 is electrically connected to the human-computer interaction module 400, and obtains the pre-input relevant values through the module.
The system controls the reaction device to carry out steam heating stirring on percolate to be separated according to a set data model through the PLC, so that the percolate reaches corresponding kinematic viscosity, further the separation effect of controlling the three-phase separator is achieved by controlling the kinematic viscosity, the system is in operation, the judgment module is used for determining whether the current data model meets the requirements or not by comparing the oil content in the water phase and the water content in the oil phase after the three-phase separator is separated with a preset threshold value, the model correction module is used for adjusting the data model, the adjusted data model is stored through the storage module, the data model after the adjustment is weighted and averaged through the calculation module, repeated verification is carried out, and the optimal data model suitable for separating the current percolate is obtained. The system performs subsequent large-scale separation operation on the premise of acquiring the current optimal data model for separating the percolate, namely the system can realize prepositive detection on the optimal separation effect of the percolate with different properties, solves the technical problems of poor grease quality, water content in oil and incapability of being widely applied caused by the separation of the percolate under a static treatment process in the prior art, ensures that the separation and oil extraction of the percolate reach the optimal state, and reduces the waste of resources.
Fig. 7 is a schematic structural diagram of a second embodiment of the kitchen residue leachate grease separation system according to the present invention, in the second embodiment, a primary separation device 1100 is added on the basis of the first embodiment, as shown in the figure, the primary separation device 1100 is connected between the leachate collection tank 600 and the reaction device 700 through a pipeline, the primary separation device 1100 is used for extracting leachate in the leachate collection tank 600, after standing, floating oil amount C0 in the leachate to be separated is primarily extracted, and the transition of the system from the primary separation device 1100 to the reaction device 700 realizes a staged oil extraction effect, improves an oil extraction rate of the leachate, reduces equipment working time and energy consumption, reduces grease loss, and improves grease income. In addition, as shown in fig. 7, in the reaction device 700, a filter residue device may be additionally provided to collect part of filter residues overflowing after the reaction, and an oil collecting device may be additionally provided to collect part of floating oil.
In the second embodiment, on the basis of the primary separation device 1100, the PLC controller 100 is provided with a device for preliminarily obtaining the total oil content C of the percolate to be separatedRFThe function of (2) realizes the whole-process prejudgment and tracking of the oil content in the percolate. The total oil content C of the percolate to be separated is calculatedRFWhen, satisfy following computational formula:
(wherein, C)RFThe total oil content; c0The amount of the floating oil extracted in the primary separation device; k is a leaching constant; t is a time constant; k is a radical of formula2v is the influence of the stirring intensity in the reaction apparatus;ENis constant of heating time and material activeness of stirring intensity in the reaction device; r is the particle size of the liquid suspension in the reaction apparatus). Then, the total oil content C of the percolate to be separated is preliminarily calculatedRFAnd C0Under the condition of obtaining the residual floating oil by measuring and calculating the content of the oil actually separated in the three-phase separator, the residual floating oil in the percolate to be separated after each separation of the system can be measured and calculatedTherefore, data support is provided for the treatment process of the subsequent stage process, and the oil extraction index and performance of the next process are adjusted.
The above-described embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements made to the technical solution of the present invention by those skilled in the art without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.
Claims (10)
1. A method for separating grease in leachate of kitchen residues is characterized in that,
the method comprises the following steps:
collecting the percolate to be separated according to the proportion;
performing steam heating and stirring on the percolate to be separated according to a data model, and obtaining the kinematic viscosity mu of the percolate to be separated;
carrying out three-phase separation on the percolate to be separated after the steam is heated and stirred according to the kinematic viscosity mu to obtain a water phase, an oil phase and a slag phase;
detecting the oil content of the separated water phase;
detecting the water content of the separated oil phase;
judging whether the absolute value of the difference between the oil content in the water phase and a preset threshold value is smaller than a set value xi 1 or not, and judging whether the absolute value of the difference between the water content in the oil phase and the preset threshold value is smaller than a set value xi 2 or not;
if the judgment result is negative, adjusting the data model, and returning to repeatedly execute the steps;
if yes, storing the adjusted data model, and the corresponding oil content in the water phase and the water content in the oil phase, adjusting the data model, and returning to repeatedly execute the steps;
and weighting and averaging the stored plurality of groups of adjusted data models to obtain an optimal data model.
2. The kitchen residue leachate grease separation method according to claim 1, further comprising the steps of: and presetting initial values of all correlation factors in the data model.
3. The kitchen residue leachate grease separation method according to claim 2, further comprising the steps of:
presetting a threshold value of the oil content in the water phase;
the threshold value of the water content in the oil phase is preset.
4. The kitchen residue leachate grease separation method according to claim 3, wherein each correlation factor in the data model comprises: initial temperature, heating time, pressure, stirring time, stirring intensity, stirring frequency, standing time, water inlet temperature and water inlet flow.
5. The kitchen residue leachate oil separation method according to claim 4, wherein the leachate to be separated after being heated and stirred by steam is subjected to three-phase separation according to the kinematic viscosity of the leachate to be separated to obtain a water phase, an oil phase and a slag phase, and the separation is controlled according to the following calculation formula under the set separation conditions:
u0＝d2(ρs-ρ)g/18μ，
wherein u is0Is the settling velocity of suspended oil droplets when u0<When 0 hour, the suspended oil drops float upwards; d is the particle diameter of the suspended oil drop, and rho s is the particle density of the suspended oil drop; ρ is the fluid density; mu is the kinematic viscosity of the percolate.
6. A grease separation system for kitchen residue percolate comprises an equipment unit and a control unit and is characterized in that,
the device unit includes:
the percolate collecting tank is used for collecting percolate to be separated in proportion;
the reaction device is communicated with the percolate collecting tank through a pipeline and is used for extracting percolate to be separated from the percolate collecting tank and carrying out steam heating and stirring according to a data model to obtain the kinematic viscosity mu of the percolate to be separated;
the three-phase separator is communicated with the reaction device through a pipeline and is used for extracting the percolate to be separated after steam is extracted, heated and stirred from the reaction device and separating the percolate according to the relevant separation parameters to obtain a water phase, an oil phase and a slag phase;
the oil-in-water detector is used for detecting the oil content in the separated water phase;
a water-in-oil detector for detecting the water content in the separated oil phase;
the control unit includes:
a PLC controller provided with:
the judging module is used for judging whether the absolute value of the difference between the oil content in the water phase and a preset threshold value is smaller than a set value xi 1 or not and judging whether the absolute value of the difference between the water content in the oil phase and the preset threshold value is smaller than a set value xi 2 or not;
the numerical value setting module is used for presetting initial values of all correlation factors in the data model, threshold values of oil content in the water phase and threshold values of water content in the oil phase;
a server system electrically connected to the PLC controller, the server system including:
the model correction module is used for adjusting the value of each correlation factor in the data model;
and the storage module is used for storing the adjusted data model, the oil content in the water phase and the water content in the oil phase when the judgment module judges that the data model is positive.
The computing module is used for weighting and averaging the stored adjusted data models to obtain an optimal data model;
the power control module is electrically connected with the PLC and used for providing power for the operation of the system;
the system also comprises a human-computer interaction module which is electrically connected with the PLC, is used for inputting numerical values to the numerical value setting module in advance, and is also used for carrying out data interaction with the server system through a network communication module.
7. The kitchen residue leachate grease separation system according to claim 6, wherein the equipment unit further comprises a primary separation device, a pipeline is connected between the leachate collection tank and the reaction device, the primary separation device is used for extracting leachate in the leachate collection tank, and after standing, the floating oil amount C in the leachate to be separated is primarily extracted0。
8. The kitchen residue leachate grease separation system of claim 7, wherein the PLC controller is further configured to obtain a total oil content C of the leachate to be separatedRFTotal oil content C of the percolate to be separatedRFThe following calculation formula is satisfied:
wherein, CRFIs the total oil content; c0The amount of the floating oil extracted in the primary separation device; k is a leaching constant; t is a time constant; k is a radical of2v is the influence of the stirring intensity in the reaction apparatus; EN is a constant of the heating time and the stirring strength in the reaction device for material activation; and R is the particle size of the liquid suspended matter in the reaction device.
9. The kitchen residue leachate grease separation system of claim 8, wherein said equipment unit further comprises a plurality of delivery pumps, a plurality of steam heating devices and a plurality of pneumatic control valves electrically connected to said power control module.
10. The kitchen residue leachate grease separation system of claim 9, wherein the equipment unit further comprises a plurality of radar level gauges, a steam flow meter, a temperature sensor and a pressure sensor electrically connected to the PLC controller.
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