CN114835363A - Drying and carbonizing integrated system and drying and carbonizing method - Google Patents

Drying and carbonizing integrated system and drying and carbonizing method Download PDF

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Publication number
CN114835363A
CN114835363A CN202210598212.9A CN202210598212A CN114835363A CN 114835363 A CN114835363 A CN 114835363A CN 202210598212 A CN202210598212 A CN 202210598212A CN 114835363 A CN114835363 A CN 114835363A
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unit
sludge
carbonization
drying
detection device
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CN114835363B (en
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毛克峰
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Xiangshan Dman Mechanics Co ltd
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Xiangshan Dman Mechanics Co ltd
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    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F11/00Treatment of sludge; Devices therefor
    • C02F11/12Treatment of sludge; Devices therefor by de-watering, drying or thickening
    • CCHEMISTRY; METALLURGY
    • C02TREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02FTREATMENT OF WATER, WASTE WATER, SEWAGE, OR SLUDGE
    • C02F11/00Treatment of sludge; Devices therefor
    • C02F11/06Treatment of sludge; Devices therefor by oxidation
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02WCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO WASTEWATER TREATMENT OR WASTE MANAGEMENT
    • Y02W10/00Technologies for wastewater treatment
    • Y02W10/40Valorisation of by-products of wastewater, sewage or sludge processing

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  • Hydrology & Water Resources (AREA)
  • Engineering & Computer Science (AREA)
  • Environmental & Geological Engineering (AREA)
  • Water Supply & Treatment (AREA)
  • Chemical & Material Sciences (AREA)
  • Organic Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Drying Of Solid Materials (AREA)
  • Treatment Of Sludge (AREA)

Abstract

The embodiment of the specification provides a drying and carbonizing integrated system. Drying carbonization integration system includes: the device comprises a sludge input unit, a drying unit, a dust removal unit, a carbonization unit, a deodorization unit, a carbide output unit and a heating unit, wherein the carbonization unit comprises a plurality of carbonization sub-units. The embodiment of the specification also provides a drying carbonization method.

Description

Drying and carbonizing integrated system and drying and carbonizing method
Technical Field
The specification relates to the technical field of sludge treatment equipment, in particular to a drying and carbonizing integrated system and a drying and carbonizing method.
Background
The sludge contains a large amount of microorganisms, pathogenic bacteria, heavy metal ions and other toxic and harmful substances, and the biochemical property of the sludge is unstable and difficult to dispose. Direct landfill may cause sludge pollutants to enter deep layers along with leachate from the surface, and even threaten underground water and rivers, lakes and seas. In addition, sludge that has not been harmlessly treated may directly threaten the human food chain by entering the farmland, thereby posing a hazard to human health.
Therefore, it is desirable to provide a drying and carbonizing integrated system capable of treating sludge.
Disclosure of Invention
One of the embodiments of the present specification provides a drying and carbonizing integrated system, including: the device comprises a sludge input unit, a drying unit, a dust removal unit, a carbonization unit, a deodorization unit, a carbide output unit and a heating unit, wherein the carbonization unit comprises a plurality of carbonization sub-units; wherein the sludge input unit is used for conveying sludge to be treated to the drying unit; the drying unit is used for drying the input sludge; the carbonization unit is used for carbonizing the dried sludge; the carbide output unit is used for outputting the carbonized sludge; the dust removal unit is used for removing dust from the gas of the drying unit; the deodorization unit is used for deodorizing the gas after dust removal; the heating unit is used for providing a heat source for the drying unit and/or the carbonization unit.
In some embodiments, the sludge input unit includes a first water content detection device, the drying unit includes a second water content detection device and a first gas overflow amount detection device, and the carbonization unit includes a second gas overflow amount detection device.
In some embodiments, the time when the next batch of sludge enters is predicted based on data obtained by detecting the current batch of sludge through the first water content detection device of the sludge input unit, the second water content detection device and the first gas overflow detection device of the drying unit, and the second gas overflow detection device of the carbonization unit.
In some embodiments, the drying unit and the carbonization unit are provided with infrared cameras for obtaining the temperature distribution of the sludge to determine the transport speed.
One of the embodiments of the present disclosure provides a dry carbonization method, including: the sludge input unit conveys sludge to be treated to the drying unit; the drying unit is used for drying the input sludge, and the dried sludge is input into the carbonization unit; the carbonization unit is used for carbonizing the dried sludge, and the carbonized sludge is output through a carbide output unit; the gas of the drying unit is dedusted by the dedusting unit; deodorizing the dedusted gas by a deodorizing unit, and discharging the gas after reaching the standard; the heat source of the drying unit and/or the carbonizing unit is provided by a heating unit.
In some embodiments, the sludge input unit includes a first water content detection device, the drying unit includes a second water content detection device and a first gas overflow amount detection device, and the carbonization unit includes a second gas overflow amount detection device.
In some embodiments, the time when the next batch of sludge enters is predicted based on data obtained by detecting the current batch of sludge through the first water content detection device of the sludge input unit, the second water content detection device and the first gas overflow detection device of the drying unit, and the second gas overflow detection device of the carbonization unit.
In some embodiments, the drying unit and the carbonization unit are provided with infrared cameras for obtaining the temperature distribution of the sludge to determine the transport speed.
One of the embodiments of the present disclosure provides a carbonization device including a processor configured to perform any one of the dry carbonization methods described above.
One of the embodiments of the present specification provides a computer-readable storage medium storing computer instructions, and when the computer instructions in the storage medium are read by a computer, the computer executes any one of the dry carbonization methods described above.
Drawings
The present description will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals are used to indicate like structures, wherein:
FIG. 1 is a schematic illustration of a dry carbonization integrated system according to some embodiments herein;
FIG. 2 is a diagram of an application scenario of a dry carbonation integrated system according to some embodiments of the present disclosure;
FIG. 3 is an exemplary flow diagram of a dry carbonization method according to some embodiments herein;
FIG. 4 is a schematic illustration of a first model shown in accordance with some embodiments of the present description;
FIG. 5 is a schematic diagram of a second model shown in accordance with some embodiments of the present description.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only examples or embodiments of the present description, and that for a person skilled in the art, the present description can also be applied to other similar scenarios on the basis of these drawings without inventive effort. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
It should be understood that "system", "apparatus", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in this specification and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Flow charts are used in this description to illustrate operations performed by a system according to embodiments of the present description. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
Fig. 1 is a schematic diagram of a dry carbonization integrated system 100 according to some embodiments herein.
As shown in fig. 1, in some embodiments, the dry carbonization integrated system 100 may include: a sludge input unit 110, a drying unit 120, a dust removal unit 130, a carbonization unit 140, a deodorization unit 150, a carbide output unit 160, and a heating unit 170, the carbonization unit 140 including a plurality of carbonization sub-units; the sludge input unit 110 is used for conveying sludge to be treated to the drying unit 120; the drying unit 120 is configured to dry the input sludge; the carbonization unit 140 is configured to perform carbonization treatment on the dried sludge; the carbide output unit 160 is used for outputting carbonized sludge; the dust removing unit 130 is used for removing dust from the gas of the drying unit 120; the deodorization unit 150 is used for deodorizing the dedusted gas; the heating unit 170 serves to provide a heat source to the drying unit 120 and/or the carbonizing unit 140.
The sludge input unit 110 is used to input sludge. In some embodiments, the sludge input unit 110 may include a means for storing sludge and a means for transporting sludge. For example only, the sludge input unit 110 may include a storage tank, a top of which may be provided with an upper cover to prevent odor leakage, and a conveyor, a bottom of which may be provided to convey sludge to the drying unit 120, wherein a conveying speed of the conveyor may be adjusted.
In some embodiments, the sludge input unit 110 may include a first moisture content detection device. The moisture content detection device can be used for detecting the moisture content of the sludge. In some embodiments, the moisture content detection device may include a moisture content detector or the like. In some embodiments, the first water content detecting device can be installed at any position of the sludge input unit 110 as needed as long as the function of detecting the water content of the sludge can be achieved.
The drying unit 120 serves to dry the sludge. In some embodiments, the drying unit 120 may include at least one of a hot air blower, a dryer, and the like. For example only, the dryer may be a horizontal type rotating device, and the water content of the sludge can be greatly reduced by stirring, turning, heating with hot air, and the like in the dryer. In some embodiments, the drying unit 120 requires a heat source provided by the heating unit 170 to meet the drying needs.
In some embodiments, the drying unit 120 may include a second moisture content detection device and a first gas overflow amount detection device. In some embodiments, the second moisture content detection device may be the same or similar device as the first moisture content detection device as long as the function of detecting the moisture content can be achieved. In some embodiments, a gas overflow detection device may be used to detect the amount of gas (e.g., gas volume, etc.) that overflows the sludge during the drying process. In some embodiments, the second water content detection device and the first gas overflow amount detection device can be installed at any position of the drying unit 120 as needed as long as the functions of detecting the water content of the sludge and detecting the amount of the overflowed gas can be achieved.
The carbonization unit 140 serves to carbonize the sludge. In some embodiments, the carbonization unit 140 may include a plurality of carbonization subunits. In a specific embodiment, the carbonization unit 140 may be a carbonization furnace, and the furnace may include a plurality of sub-units, for example, an upper section, a middle section, and a lower section, which are connected by a screw conveyor, so that the sludge can be sequentially conveyed to the upper section, the middle section, and the lower section of the carbonization furnace. In some embodiments, the carbonization unit 140 requires a heat source provided by the heating unit 170 to meet carbonization requirements.
In some embodiments, the carbonization unit 140 may include a second gas outflow amount detection device. In some embodiments, the second gas outflow amount detection device may be the same as or similar to the first gas outflow amount detection device as long as the function of detecting the gas outflow amount can be achieved. In some embodiments, the second gas overflow amount detection device may be used to detect the amount of gas (e.g., gas volume, etc.) that overflows the sludge during carbonization. In some embodiments, the carbonization unit 140 includes a plurality of carbonization sub-units, and a gas overflow amount detection device may be correspondingly disposed in each carbonization sub-unit. In some embodiments, the second gas overflow amount detection means can be installed at any position of the carbonization unit 140 as needed as long as the function of detecting the amount of the overflow gas can be achieved.
In some embodiments, the results detected by the water content detection device and the gas overflow detection device disposed in the sludge input unit 110, the drying unit 120, and the carbonization unit 140 may be further processed and transmitted to the processing equipment, and the processing equipment may further process the detection results. In some embodiments, the detection results may be sent to the processing device at regular intervals, e.g., 30s, 2min, etc.
In some embodiments, the system may predict the time when the next batch of sludge enters based on data obtained by detecting the current batch of sludge through the first water content detection device of the sludge input unit 110, the second water content detection device and the first gas overflow detection device of the drying unit 120, and the second gas overflow detection device of the carbonization unit 140. For more details about predicting the entering time of the next batch of sludge, reference may be made to the related description of fig. 4, and details are not repeated here.
In some embodiments, the drying unit 120 and the carbonization unit 140 may be provided with infrared cameras for acquiring the temperature distribution of the sludge to determine the conveying speed. For more details on determining the conveying speed, reference may be made to the description of fig. 5, which is not repeated here.
The carbide output unit 160 serves to output the carbonized product. In some embodiments, the carbide output unit 160 may be connected to the circulating cooling water unit 190, and the cooling water of the circulating cooling water unit 190 may cool the carbonized product when the carbonized product passes through the carbide output unit 160, and then may be transferred to the storage unit 180 for storage.
The dust removing unit 130 is used to remove dust from the gas generated by the drying. In some embodiments, the dust removing unit 130 may be connected to a gas discharge port of the drying unit 120 so as to be able to separate dust from gas, and the separated dust may be mixed with dried sludge and further transferred to the carbonization unit 140 for carbonization.
The deodorization unit 150 is used to deodorize the exhaust gas. In some embodiments, the tail gas may include dedusted gases exiting the drying unit 120. In some embodiments, the off-gas may have an offensive taste (e.g., malodor), which may be removed in the deodorization unit 150 and then discharged. In some embodiments, the deodorization unit 150 may include a combustion furnace for burning the exhaust gas to remove pungent taste, and the deodorization unit 150 may further include other devices capable of environmentally treating the exhaust gas such that the exhaust gas meets the emission standard before being discharged.
The heating unit 170 serves to provide a heat source. In some embodiments, the heating unit 170 may provide a heat source to the drying unit 120, and the heating unit 170 may also provide a heat source to the carbonizing unit 140. In some embodiments, the heating unit 170 may include a furnace to which fuel is added to maintain heating. In some embodiments, the burner in the deodorization unit 150 and the heating furnace of the heating unit 170 may be the same device.
Fig. 2 is a diagram of an application scenario of a drying and carbonizing integrated system according to some embodiments of the present disclosure. As shown in fig. 2, a typical application scenario 200 of the elevator intelligent speed control method provided by some embodiments of the present disclosure may include a processing device 210, a network 220, a storage device 230, one or more terminal devices 240, and a drying and carbonizing integrated system 100. Various stages in the operation of the integrated dry carbonation system 100 may be monitored by performing the methods and/or processes disclosed herein.
For an explanation of the drying and carbonizing integrated system 100, reference may be made to fig. 1 and its related description, which are not repeated herein.
The network 220 may facilitate the exchange of information and/or data. In some embodiments, one or more components (e.g., processing device 210, terminal device 240, etc.) in the application scenario 200 may send information and/or data to another component in the application scenario 200 via the network 220.
The processing equipment 210 may be located in a location including, but not limited to, a control room of the integrated drying and carbonizing system 100. The processing device 210 may communicate with the dry carbonation integrated system 100, the terminal device 240, and the storage device 230 to provide various functions of the application scenario 200. In some embodiments, the processing device 210 may receive data from the terminal device 240 via, for example, the network 220, and condition the integrated drying and carbonizing system 100. In other embodiments, the processing device 210 may receive relevant information in the dry carbonation integrated system 100 via, for example, the network 220.
In some embodiments, the processing device 210 may be a single processor or a group of processors. In some embodiments, the processing device 210 may be connected locally to the network 220 or remotely from the network 220. In some embodiments, the processing device 210 may be implemented on a cloud platform.
In some embodiments, terminal device 240 may receive a user request and send information related to the request to processing device 210 via network 220. For example, the terminal device 240 may receive a request from a user to send certain parameters and send information related to the request to the processing device 210 via the network 220. Terminal device 240 may also receive information from processing device 210 via network 220. For example, the terminal device 240 may receive information about the drying and carbonizing integrated system 100 from the processing device 210. The determined one or more information may be displayed on terminal device 240.
In some embodiments, the terminal device 240 may include a mobile device 240-1, a tablet computer 240-2, a laptop computer 240-3, a vehicle mounted device, the like, or any combination thereof. In some embodiments, terminal device 240 may be fixed and/or mobile. For example, the terminal device 240 may be directly mounted on the processing device 210 and/or the dry carbonation integrated system 100 to become a part of the processing device 210 and/or the dry carbonation integrated system 100. As another example, the terminal device 240 may be a mobile device, a worker may carry the terminal device 240 at a remote location with respect to the processing device 210 and the dry carbonation integrated system 100, and the terminal device 240 may be connected to and/or in communication with the processing device 210 and/or the dry carbonation integrated system 100 via the network 220.
In some embodiments, the storage device 230 may be connected to the network 220 to communicate with one or more components of the application scenario 200 (e.g., processing device 210, terminal device 240). In some embodiments, the storage device 230 may be part of the processing device 210.
Storage device 230 may store data and/or instructions. The data may include data related to a user, terminal device 240, and the like. In some embodiments, storage device 230 may store data acquired from terminal device 240 and/or dry carbonation integrated system 100. In some embodiments, storage device 230 may store data and/or instructions that processing device 210 uses to perform or use to perform the exemplary methods described in this specification.
In some embodiments, storage device 230 may include mass storage, removable storage, volatile read-write memory, read-only memory (ROM), the like, or any combination thereof. In some embodiments, storage device 230 may be implemented on a cloud platform.
Fig. 3 is an exemplary flow diagram of a dry carbonization method according to some embodiments herein. In some embodiments, the process 300 may be performed by the dry carbonation integrated system 100. As shown in fig. 3, the process 300 includes the following steps:
in step 310, the sludge input unit delivers the sludge to be treated to the drying unit.
And 320, drying the input sludge by the drying unit, and inputting the dried sludge into the carbonization unit.
In some embodiments, the drying unit may turn, agitate, and hot air heat the sludge such that the sludge is dewatered. In some embodiments, the drying unit may reduce the water content in the sludge to below 30%.
And 330, carbonizing the dried sludge by the carbonizing unit, and outputting the carbonized sludge through the carbide output unit.
In some embodiments, the carbonization unit may carbonize the sludge by heating. In some embodiments, the carbonization unit includes a plurality of carbonization sub-units, and the sludge may be sequentially transferred from the first carbonization sub-unit to the second carbonization sub-unit, from which the sludge is input to the third carbonization sub-unit … … until the desired effect is achieved, and the carbonized sludge is output through the carbide output unit.
In some embodiments, the sludge is carbonized in the carbonization unit by indirect heating, and heavy metal ions (e.g., Pb, Cd, Cr, Ni, etc.) in the sludge can be solidified in the carbide product, thereby becoming stable and environmentally friendly. Wherein, the indirect heating can mean that the sludge is subjected to dry distillation at a low oxygen and high temperature. In some embodiments, if sludge is directly incinerated in an incinerator, a large amount of toxic and harmful substances such as dioxin may be generated, and the sludge is carbonized by indirect heating in a carbonization unit, and the dioxin is completely decomposed at a high temperature (e.g., 800 ℃), so that the generation of dioxin can be effectively suppressed, and a carbonized product rich in fixed carbon is formed after carbonization, thereby greatly reducing the emission of carbon dioxide.
In some embodiments, the carbide product may be used as a soil improvement material (e.g., for horticultural soils, etc.), a deodorant, a building material (e.g., as a cement raw material), a fuel (e.g., for thermal power generation), a dehydration aid, a snow melt agent, and the like.
And 340, dedusting the gas in the drying unit through a dedusting unit.
And 350, deodorizing the dedusted gas by a deodorizing unit, and discharging the gas after reaching the standard.
In some embodiments, the heat source of at least one of the drying unit and the carbonizing unit may be provided by a heating unit. In some embodiments, the carbonization gas generated by the carbonization unit can be introduced into the heating unit to fully and effectively utilize the combustion heat of the carbonization gas, thereby saving energy.
In some embodiments, the sludge input unit may include a first moisture content detection device, the drying unit may include a second moisture content detection device and a first gas overflow amount detection device, and the carbonization unit may include a second gas overflow amount detection device.
In some embodiments, the drying unit may have a corresponding standard moisture content and a corresponding standard gas overrun, and the carbonization unit may have a corresponding standard gas overrun. In some embodiments, the carbonation unit includes a plurality of carbonation sub-units, each of which may have a respective standard gas overrun. Standard indexes such as standard water content and standard gas overflow amount can be preset.
In some embodiments, after the detection criteria meet the criteria during the processing of each cell, the next cell can be entered. For example, when the moisture content detected by the second moisture content detection device of the drying unit reaches the standard moisture content, and the gas amount detected by the first gas overflow amount detection device of the drying unit reaches the standard gas overflow amount, the sludge in the drying unit can enter the carbonization unit. For another example, the gas amount detected by the gas overflow amount detecting device of the current carbonization subunit reaches the standard gas overflow amount, and the sludge in the carbonization subunit can enter the next carbonization subunit. For another example, when the amount of gas detected by the second gas overflow amount detecting means of the carbonization unit reaches the standard gas overflow amount, the sludge in the carbonization unit can enter the carbide output unit.
In some embodiments, since the sludge per treatment may vary, the criteria may be determined in conjunction with the specific condition of the sludge. For example only, the sludge of the sludge input unit may be detected, and the standard index may be determined based on the detected data of the sludge. For example, the water content of the sludge in the sludge input unit may be 90%, and the standard water content corresponding to the drying unit may be 30%.
In some embodiments, historical production data that is qualified in production quality or meets requirements may be obtained, vectors may be constructed based on the historical production data, clustering may be performed based on the vectors, and values of the standard indicators may be determined.
For example only, for the drying unit, a vector may be constructed based on the detection result of the sludge of the historical production data that is qualified in production quality or meets the requirement, such as (a, b, c, d) where a represents the water content before drying, b represents the water content after drying, c represents the gas overflow amount during drying, and d represents the drying time, and a, b, c, d respectively represent the values of the respective detection parameters.
In some embodiments, the clustering process may be performed by a clustering algorithm to obtain at least one cluster center. The type of clustering algorithm may include a variety, for example, the clustering algorithm may include K-Means clustering, density-based clustering method (DBSCAN), and the like. In some embodiments, each cluster center may correspond to a detection of sludge. In some embodiments, a vector may be constructed from the detection result of the currently dried sludge, a target clustering center may be determined based on the distance between the vector and each clustering center, and then the actual water content and the gas overflow amount of the drying unit of the cluster corresponding to the target clustering center may be averaged to serve as the value of the standard index.
In some embodiments, when determining a target cluster, a center vector of a plurality of clusters may be determined, and a corresponding target cluster may be determined based on a similarity of the center vector and a detection result of a currently dried sludge. Methods of calculating similarity may include, but are not limited to, cosine similarity, euclidean distance, pearson correlation coefficient, and the like.
For the carbonization unit, for example only, the value of the standard index is determined in a manner similar to the drying unit described above. In some embodiments, the value of the standard index of the drying unit may be determined first, then a vector is constructed, elements in the vector including the value of the standard index of the drying unit in addition to the detection result of the sludge, and then clustering and subsequent steps are performed to determine the value of the standard index of the carbonization unit.
In some embodiments, the time for the next batch of sludge to enter may be predicted based on data detected by the current batch of sludge through the first water content detection device of the sludge input unit, the second water content detection device and the first gas overflow amount detection device of the drying unit, and the second gas overflow amount detection device of the carbonization unit.
In some embodiments, each unit corresponds to a corresponding sludge treatment stage, first a sludge input system, the sludge input unit corresponding to an input stage; then drying the sludge, wherein the drying unit corresponds to a drying stage; carbonizing the dried sludge, wherein the carbonizing units correspond to carbonizing stages, and a plurality of carbonizing subunits respectively correspond to a first carbonizing stage, a second carbonizing stage and a third carbonizing stage … … (N can be a natural number which is not zero); and finally, outputting the carbonized sludge (carbide) to a system, wherein a carbide output unit corresponds to an output stage. In some embodiments, the completion time of each stage may be estimated by a predetermined time after the stage begins, and when the estimated time is less than a threshold, subsequent stages are not estimated. The threshold value may be preset. The estimation mode may be manually based on experience, or may be system automatic estimation, for example, the system may estimate through networking search or model prediction. Each stage corresponds to a production stage of each cell. In some embodiments, when the estimated time for a stage is less than the threshold, indicating that the next batch of sludge is needed soon, the subsequent stages of the batch need not be estimated.
In some embodiments, the time at which each stage is completed may be predicted based on the first model, and based on the predicted time at which each stage is completed, the time at which the next batch of sludge enters may be determined to achieve continuous production. It should be noted that continuous production means that the last batch of sludge and the next batch of sludge can be continuous, that is, the interval time between the entering of adjacent batches is extremely short or zero, so that uninterrupted continuous production of continuous feeding is realized.
In some embodiments, continuous production can be achieved so that each batch of sludge does not come too early, for example, after a batch is input by the sludge input unit, the next batch is input immediately, but the previous batch of sludge is not completed at a certain stage (for example, the first carbonization stage), and the next batch needs to wait for the previous unit (for example, the drying unit) all the time, which is not beneficial to production management. In addition, it may result in different production parameters between the two batches, which is not conducive to the standardized process of production control and sludge treatment. By the determination of the continuous time, the waiting time can be reduced.
In some embodiments, the first model may be a machine learning model, which may include a Recurrent Neural Network (RNN) model, or the like.
FIG. 4 is a schematic diagram of a first model shown in accordance with some embodiments of the present description. As shown in FIG. 4, in some embodiments, the inputs to the first model 430 may include the detection results 410 for a plurality of time points of the current stage and the standard values 420 for the subsequent stages, and the outputs of the first model 430 may be the time 440 for completion of the current stage and each subsequent stage. In some embodiments, the standard value for each stage may be the value of the standard index determined by clustering based on the historical production data construction vector described above.
For example only, after the sludge starts to be dried, the sludge detection result data corresponding to the drying time points 1, 2, and 3 (for example, corresponding to 10min, 20min, and 30min after the sludge starts to be dried) and the standard value of each carbonization subunit are input to the RNN model, and if the drying stage required time a1, the first carbonization stage required time B1, the second carbonization stage required time C1, and the third carbonization stage required time D1 of the RNN output are input, the time for the next batch of sludge to enter is predicted to be H1 — a1+ B1+ C1+ D1. If H1 is greater than the threshold value, after the sludge enters the first carbonization stage, the time B2 is determined by the first model, the time C2 is determined by the second carbonization stage, and the time D2 is determined by the third carbonization stage, so that the time for entering the next batch of sludge is predicted to be H2-B2 + C2+ D2. If H2 is less than the threshold, then no prediction is made, and the next batch is entered directly after H2.
The first model is trained in advance. The first model may be derived based on a plurality of training samples and label training. The training sample comprises detection results of a plurality of time points of a sample stage and standard values of a subsequent stage of the sample. The label is the time at which the sample phase and each subsequent phase are completed. The training data may be obtained based on historical data, and the labels of the training data may be determined by way of manual labeling.
In some embodiments, the input to the first model may also include temperature profile. In some embodiments, the temperature profile may include an infrared profile of the current and previous stages at a plurality of time points, and the temperature profile may be acquired by an infrared camera provided in the drying unit and the carbonizing unit. The plurality of time points for acquiring the infrared distribution map may be the same time point as the plurality of time points for acquiring the detection results, or may be different time points from the plurality of time points for acquiring the detection results.
In some embodiments, the temperature profile reflects to some extent the dehydration status of the sludge (e.g., higher temperature corresponds to faster dehydration rate), and inputting the temperature profile parameters to the first model can increase the accuracy of the first model prediction.
In some embodiments, the drying unit and the carbonization unit may be provided with infrared cameras for acquiring the temperature distribution of the sludge to determine the transport speed. In some embodiments, the higher the temperature of the drying unit and the carbonization unit is, the faster the drying and carbonization speed of the sludge is, and the drying and carbonization effect of the sludge is relatively better; the conveying speed is slow, the residence time in the drying unit and the carbonization unit is long, the longer the drying and carbonization action time on the sludge is, and the drying and carbonization effects of the sludge are relatively good. Therefore, the desired drying and carbonization effects can be obtained at an appropriate temperature and conveying speed.
In some embodiments, the delivery speed may be determined based on a second model, which may be a machine learning model, which may include a Recurrent Neural Network (RNN) model, or the like.
FIG. 5 is a schematic diagram of a second model shown in accordance with some embodiments of the present description. As shown in fig. 5, in some embodiments, the inputs to the second model 530 may include the infrared profile 510 for each of the preceding stages over a plurality of time periods and the standard gas spill amount 520 for the subsequent stage, and the output of the second model 530 may be whether the current preset delivery speed is feasible 540. If the production is feasible, the production is continued according to the current conveying speed, and if the production is not feasible, the conveying speed is adjusted. In some embodiments, the standard gas overrun 520 may be the value of a standard indicator determined by clustering based on historical production data construction vectors as described above.
In some embodiments, the inputs to the second model 530 may also include the completion time 550 for each subsequent stage. In some embodiments, the completion time for each subsequent stage may be the time at which each subsequent stage of the first model output is completed.
In some embodiments, by inputting the completion time of the subsequent stage predicted by the first model into the second model determining the conveying speed, it is possible to ensure that production is completed within the predicted time as much as possible.
The second model is trained in advance. The second model may be derived based on a plurality of training samples and label training. The training sample includes the infrared profile of each cell of the sample over a plurality of time periods, the standard gas emission of subsequent cells of the sample, and the completion time of each subsequent stage of the sample. The label may or may not be feasible at a preset feed speed. The training data may be obtained based on historical data, and the labels of the training data may be determined by way of manual labeling.
The carbonization device in some embodiments may include a processor configured to perform the dry carbonization method of any of the above embodiments.
In some embodiments, a computer-readable storage medium stores computer instructions, and when the computer instructions in the storage medium are read by a computer, the computer performs the dry carbonization method of any of the above embodiments.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.
Also, the description uses specific words to describe embodiments of the description. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the specification may be combined as appropriate.
Additionally, the order in which the elements and sequences of the process are recited in the specification, the use of alphanumeric characters, or other designations, is not intended to limit the order in which the processes and methods of the specification occur, unless otherwise specified in the claims. While various presently contemplated embodiments have been discussed in the foregoing disclosure by way of example, it should be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the foregoing description of embodiments of the specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the number allows a variation of ± 20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
For each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this specification, the entire contents of each are hereby incorporated by reference into this specification. Except where the application history document does not conform to or conflict with the contents of the present specification, it is to be understood that the application history document, as used herein in the present specification or appended claims, is intended to define the broadest scope of the present specification (whether presently or later in the specification) rather than the broadest scope of the present specification. It is to be understood that the descriptions, definitions and/or uses of terms in the accompanying materials of this specification shall control if they are inconsistent or contrary to the descriptions and/or uses of terms in this specification.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present disclosure. Other variations are also possible within the scope of the present description. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the specification can be considered consistent with the teachings of the specification. Accordingly, the embodiments of the present description are not limited to only those embodiments explicitly described and depicted herein.

Claims (10)

1. A drying and carbonizing integrated system, comprising:
the device comprises a sludge input unit, a drying unit, a dust removal unit, a carbonization unit, a deodorization unit, a carbide output unit and a heating unit, wherein the carbonization unit comprises a plurality of carbonization sub-units; wherein,
the sludge input unit is used for conveying sludge to be treated to the drying unit;
the drying unit is used for drying the input sludge;
the carbonization unit is used for carbonizing the dried sludge;
the carbide output unit is used for outputting the carbonized sludge;
the dust removal unit is used for removing dust from the gas of the drying unit;
the deodorization unit is used for deodorizing the gas after dust removal;
the heating unit is used for providing a heat source for the drying unit and/or the carbonization unit.
2. The system of claim 1, wherein the sludge input unit comprises a first moisture content detection device, the drying unit comprises a second moisture content detection device and a first gas overflow detection device, and the carbonation unit comprises a second gas overflow detection device.
3. The system of claim 2, wherein the time for entering the next batch of the sludge is predicted based on data obtained by detecting the current batch of the sludge through a first water content detection device of the sludge input unit, a second water content detection device and a first gas overflow detection device of the drying unit, and a second gas overflow detection device of the carbonization unit.
4. The system according to claim 1, characterized in that the drying unit and the carbonization unit are provided with infrared cameras for obtaining the temperature distribution of the sludge to determine the transport speed.
5. A dry carbonization method, characterized by comprising:
the sludge input unit conveys sludge to be treated to the drying unit; the drying unit is used for drying the input sludge, and the dried sludge is input into the carbonization unit; the carbonization unit is used for carbonizing the dried sludge, and the carbonized sludge is output through a carbide output unit;
the gas of the drying unit is dedusted by the dedusting unit; deodorizing the dedusted gas by a deodorizing unit, and discharging the gas after reaching the standard;
the heat source of the drying unit and/or the carbonizing unit is provided by a heating unit.
6. The method of claim 5, wherein the sludge input unit comprises a first moisture content detection device, the drying unit comprises a second moisture content detection device and a first gas overflow detection device, and the carbonation unit comprises a second gas overflow detection device.
7. The method of claim 6, wherein the time for entering the next batch of the sludge is predicted based on data obtained by detecting the current batch of the sludge through a first water content detection device of the sludge input unit, a second water content detection device and a first gas overflow detection device of the drying unit, and a second gas overflow detection device of the carbonization unit.
8. The method according to claim 5, characterized in that the drying unit and the carbonization unit are provided with infrared cameras for obtaining the temperature distribution of the sludge to determine the conveying speed.
9. A carbonization device, characterized by comprising a processor for performing the dry carbonization method according to any one of claims 5 to 8.
10. A computer-readable storage medium storing computer instructions, wherein the computer instructions stored in the storage medium are readable by a computer to perform the dry carbonization method of any one of claims 5 to 8.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205205002U (en) * 2015-11-16 2016-05-04 华南理工大学 Utilize rotary kiln microwave pyrolysis mud device
CN110759626A (en) * 2019-11-26 2020-02-07 山东金孚环境工程有限公司 Sludge conditioning dehydration coupling carbonization reduction treatment method and system
CN111410400A (en) * 2020-04-15 2020-07-14 广东申菱环境***股份有限公司 Sludge drying system, debugging method thereof and computer equipment

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205205002U (en) * 2015-11-16 2016-05-04 华南理工大学 Utilize rotary kiln microwave pyrolysis mud device
CN110759626A (en) * 2019-11-26 2020-02-07 山东金孚环境工程有限公司 Sludge conditioning dehydration coupling carbonization reduction treatment method and system
CN111410400A (en) * 2020-04-15 2020-07-14 广东申菱环境***股份有限公司 Sludge drying system, debugging method thereof and computer equipment

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