Intelligent control method and equipment for efficient nitrogen removal of biological fluidized bed tower reactor

Abstract

The invention discloses an intelligent control method and equipment for efficient nitrogen removal of a biological fluidized bed tower reactor, and the method comprises the steps: obtaining monitoring data, correspondingly setting a total nitrogen target value, and analyzing and obtaining demand information according to the monitoring data and the total nitrogen target value; if the demand type in the demand information is that the carbon source is sufficient, correspondingly obtaining steam stripping regulation and control information, generating a steam stripping control instruction and sending the steam stripping control instruction to a steam stripping fan; and if the demand information in the demand information indicates that the carbon source is insufficient, correspondingly obtaining carbon supplement regulation and control information, generating a carbon supplement control instruction and sending the carbon supplement control instruction to the dosing pump. According to the method, the monitoring data is acquired, the total nitrogen target value is correspondingly set, the demand information is correspondingly acquired according to the detection data and the operation condition of the biological fluidized bed, and the steam stripping control instruction is sent according to the demand information to increase the steam stripping air consumption, or the carbon supplementing regulation and control instruction is sent according to the demand information to perform the carbon supplementing operation. The biological fluidized bed is flexibly controlled to improve the overall nitrogen removal efficiency, and the practical application effect of the biological fluidized bed is greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of biological treatment, in particular to a high-efficiency nitrogen removal intelligent control method and equipment for a biological fluidized bed tower reactor. BACKGROUND

[0002] The biological fluidized bed is a high-efficiency biological treatment technology, and the core is to make the carrier (such as sand, activated carbon, biological ceramsite) attached with microorganisms in a "fluidized state" under the action of wastewater flow or airflow to intensify the contact between microorganisms, pollutants and oxygen, thereby efficiently degrading organic matter in water. With the development of biological fluidized bed technology, the carrier can be used or not, and the wastewater is in a "fluidized state" under the action of wastewater flow or airflow, which intensifies the contact between microorganisms, pollutants and oxygen, thereby efficiently degrading organic matter in water.

[0003] In the application process of the biological fluidized bed, the device has the characteristics of high integration, small land occupation, few equipment, low energy consumption, high circulation ratio and high total nitrogen removal rate. However, the operation control of the existing biological fluidized bed often affects the actual treatment effect of the biological fluidized bed due to unreasonable control. The biological fluidized bed in the prior art has different characteristics in design structure, but it is not flexibly controlled and adjusted according to the change of total nitrogen removal amount of wastewater, which causes the nitrogen removal efficiency to fluctuate greatly, resulting in poor application effect of the biological fluidized bed and affecting the overall nitrogen removal efficiency of the equipment. Therefore, the biological fluidized bed applied in the prior art has the problem of low nitrogen removal efficiency. SUMMARY

[0004] The embodiments of the present application provide a high-efficiency nitrogen removal intelligent control method and equipment for a biological fluidized bed tower reactor, which aims to solve the problem of low nitrogen removal efficiency of the biological fluidized bed applied in the prior art.

[0005] In a first aspect, the embodiments of the present application provide a high-efficiency nitrogen removal intelligent control method for a biological fluidized bed tower reactor.

[0006] The high-efficiency nitrogen removal intelligent control method for the biological fluidized bed tower reactor, wherein the method is applied in a controller, and the controller is in communication connection with an inlet water online analysis instrument, an outlet water online analysis instrument, an ORP instrument, a stripping fan and a dosing pump to realize transmission of data information; the method comprises the following steps of:

[0007] obtaining inlet water monitoring data, outlet water monitoring data and process monitoring data monitored by the inlet water online analysis instrument, the outlet water online analysis instrument and the ORP instrument;

[0008] setting a total nitrogen target value corresponding to the inlet water monitoring data and the process monitoring data according to a preset target setting rule;

[0009] According to the preset demand analysis rule, the water inlet monitoring data, the water outlet monitoring data and the total nitrogen target value are analyzed to obtain corresponding demand information;

[0010] If the demand type in the demand information is carbon source sufficient, according to the preset stripping control strategy, the stripping control information corresponding to the demand information is obtained;

[0011] According to the stripping control information, the corresponding stripping control instruction is sent to the stripping fan;

[0012] If the demand type in the demand information is carbon source insufficient, according to the preset carbon source supplement strategy, the carbon supplement control information corresponding to the demand information and the process monitoring data is obtained;

[0013] According to the carbon supplement control information, the corresponding carbon supplement control instruction is sent to the dosing pump.

[0014] In a second aspect, the embodiment of the present application also provides a high-efficiency nitrogen removal intelligent control device for a biological fluidized bed tower reactor, wherein the device comprises a water inlet pool, a water outlet pool, a biological fluidized bed reactor, a controller, a water inlet online analysis instrument, a water outlet online analysis instrument, an ORP instrument, a water inlet pump, a stripping fan and a dosing pump;

[0015] The water inlet pool is arranged upstream of the biological fluidized bed reactor, and the water inlet pool is in communication with the biological fluidized bed reactor through a water inlet pipeline; the water inlet pump is arranged on the water inlet pipeline; the water outlet pool is arranged downstream of the biological fluidized bed reactor, and the water outlet pool is in communication with the biological fluidized bed reactor through a water outlet pipeline;

[0016] The stripping fan and the dosing pump are both arranged in the biological fluidized bed reactor, and the ORP instrument is in communication connection with the biological fluidized bed reactor;

[0017] The water inlet online analysis instrument is arranged on one side of the water inlet pool and is used for monitoring the water inlet pool; the water outlet online analysis instrument is arranged on one side of the water outlet pool and is used for monitoring the water outlet pool;

[0018] The controller is in communication connection with the water inlet online analysis instrument, the water outlet online analysis instrument, the ORP instrument, the stripping fan and the dosing pump respectively to realize transmission of data information;

[0019] The controller is used for executing the high-efficiency nitrogen removal intelligent control method for the biological fluidized bed tower reactor as described in the first aspect.

[0020] In a third aspect, the embodiments of the present application further provide a computer device, wherein the device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus.

[0021] a memory for storing a computer program;

[0022] a processor for executing the program stored on the memory, so as to realize the steps of the biological fluidized bed tower reactor high-efficiency denitrification intelligent control method in the first aspect.

[0023] In a fourth aspect, the embodiments of the present application further provide a computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to realize the steps of the biological fluidized bed tower reactor high-efficiency denitrification intelligent control method in the first aspect.

[0024] The embodiments of the present application provide a biological fluidized bed tower reactor high-efficiency denitrification intelligent control method and device, which comprises the following steps: obtaining monitoring data and setting a total nitrogen target value, obtaining demand information according to the monitoring data and the total nitrogen target value; if the demand type in the demand information is carbon source sufficient, obtaining stripping control information and generating a stripping control instruction to send to a stripping fan; if the demand information in the demand information is carbon source insufficient, obtaining carbon supplement control information and generating a carbon supplement control instruction to send to a dosing pump. The above method, by obtaining monitoring data and setting a total nitrogen target value, obtaining demand information according to the monitoring data and the operation of the biological fluidized bed, and sending a stripping control instruction according to the demand information to increase the stripping air consumption, or sending a carbon supplement control instruction according to the demand information to perform carbon supplement operation, the overall denitrification efficiency is improved by flexible control of the biological fluidized bed, and the practical application effect of the biological fluidized bed is greatly improved. BRIEF DESCRIPTION OF DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description are some embodiments of the present application, and other drawings can also be obtained by those skilled in the art without creative labor.

[0026] Figure 1 The method flowchart of the biological fluidized bed tower reactor high-efficiency denitrification intelligent control method provided by the embodiments of the present application;

[0027] Figure 2 The application scenario schematic diagram of the biological fluidized bed tower reactor high-efficiency denitrification intelligent control method provided by the embodiments of the present application;

[0028] Figure 3The structural diagram of the high-efficiency nitrogen removal intelligent control equipment of the biological fluidized bed tower reactor is provided for the embodiment of the present application.

[0029] Figure 4 The device structural diagram of the controller is provided for the embodiment of the present application.

[0030] Figure 5 The schematic block diagram of the computer equipment is provided for the embodiment of the present application.

[0031] The drawing label: 1, the water inlet pool; 2, the water outlet pool; 3, biological fluidized bed reactor; 4, controller; 11, water inlet on-line analytical instrument; 21, water outlet on-line analytical instrument; 31, ORP instrument; 12, water inlet pump; 32, stripping fan; 33, dosing pump. DETAILED DESCRIPTION

[0032] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some but not all of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of the present application.

[0033] It should be understood that, when used in the specification and the appended claims, the terms "comprise" and "include" indicate the presence of described features, integers, steps, operations, elements, and / or components, but do not exclude one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0034] It should also be understood that the terms used in the present application specification are only for the purpose of describing particular embodiments and are not intended to limit the present application. As used in the present application specification and the appended claims, unless otherwise clearly indicated by the context, the singular forms "a", "an" and "the" are intended to include the plural forms.

[0035] It should be further understood that the term "and / or" used in the present application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations thereof.

[0036] Please refer to Figure 1 As shown in the figure, the embodiment of the present application provides a high-efficiency nitrogen removal intelligent control method of a biological fluidized bed tower reactor, which is applied to a controller, and the method is executed by application software installed in the controller, such as Figure 2As shown, the controller is in communication connection with the water inlet online analyzer, the water outlet online analyzer, the ORP instrument, the stripping fan and the dosing pump to realize the transmission of data information, wherein the water inlet online analyzer is used for monitoring the water inlet tank, the water outlet online analyzer is used for monitoring the water outlet tank, and the ORP instrument is used for monitoring the biological fluidized bed reactor and the devices arranged inside. The stripping fan is used for controlling the reflux intensity of the mixed liquid in the biological fluidized bed reactor, and the dosing pump is used for controlling the carbon source dosing frequency. The controller can be a component with data processing and instruction transceiving functions, such as an MCU chip or an FPGA chip, etc., and can also be a terminal device such as a desktop computer, a notebook computer, a tablet computer or a mobile phone.

[0037] The present scheme combines online monitoring instruments with biological nitrogen removal mechanism based on the unique advantages of the biological fluidized bed structure, and creatively proposes an intelligent control method for high-efficiency nitrogen removal of the biological fluidized bed tower reactor. Figure 1 As shown, the method comprises steps S110-S170.

[0038] S110, obtaining the water inlet monitoring data, the water outlet monitoring data and the process monitoring data monitored by the water inlet online analyzer, the water outlet online analyzer and the ORP instrument.

[0039] After starting the operation of the biological fluidized bed reactor, data monitoring can be performed through the water inlet online analyzer, the water outlet online analyzer and the ORP (measuring oxidation-reduction potential, Oxidation-Reduction Potential) instrument; specifically, the water inlet monitoring data can be obtained through the water inlet online analyzer, the water outlet monitoring data can be obtained through the water outlet online analyzer, and the process monitoring data can be obtained through the ORP instrument.

[0040] S120, setting a total nitrogen target value corresponding to the water inlet monitoring data and the process monitoring data according to a preset target setting rule.

[0041] Further, the total nitrogen target value can be set according to the target setting rule and the obtained water inlet monitoring data and process monitoring data. The total nitrogen target value is the target value required to control the total nitrogen content in the water outlet tank, and the total nitrogen content in the water outlet tank can be close to or equal to the total nitrogen target value through the control method in the subsequent steps.

[0042] In specific embodiments, step S120 comprises a sub-step: setting a nitrogen removal multiple corresponding to the process monitoring data according to the target setting rule; calculating the ratio of the water inlet total nitrogen value in the water inlet monitoring data to the nitrogen removal multiple as the corresponding total nitrogen target value.

[0043] Specifically, the nitrogen removal multiple corresponding to the process monitoring data can be set according to a target setting rule. The target setting rule includes a plurality of multiple values, and each multiple value corresponds to a group of monitoring value intervals. Then, the actual value of the anoxic zone (actual ORP value of the anoxic zone) in the process monitoring data and the preset rated value of the device water lifting amount are matched with the monitoring value intervals, the monitoring value interval matched with the actual value of the anoxic zone and the rated value of the device water lifting amount is obtained, and the multiple value corresponding to the matched monitoring value interval is obtained as the nitrogen removal multiple. For example, the nitrogen removal multiple matched with the actual value of the anoxic zone and the rated value of the device water lifting amount is 16.

[0044] Further, the ratio of the total nitrogen value in the influent monitoring data to the nitrogen removal multiple is calculated as the corresponding total nitrogen target value. For example, if the total nitrogen value in the influent is 200 mg / L, the ratio between the total nitrogen value in the influent and the nitrogen removal multiple is 12.5 mg / L, and this ratio can be set as the total nitrogen target value.

[0045] S130, according to the preset demand analysis rule, the influent monitoring data, the effluent monitoring data and the total nitrogen target value are analyzed to obtain corresponding demand information.

[0046] Further, the influent monitoring data, the effluent monitoring data and the total nitrogen target value are analyzed by the demand analysis rule to obtain the demand information, which includes the demand type and the carbon source demand difference.

[0047] In specific embodiments, step S130 includes a sub-step of: analyzing the influent monitoring data, the effluent monitoring data and the total nitrogen target value according to an analysis formula in the demand analysis rule to obtain a corresponding carbon source demand difference; if the carbon source demand difference is positive, determining that the demand type is carbon source deficiency; if the carbon source demand difference is negative, determining that the demand type is carbon source sufficiency; and combining the determined demand type and the carbon source demand difference to obtain corresponding demand information.

[0048] The influent monitoring data, the effluent monitoring data and the total nitrogen target value are analyzed according to the analysis formula in the demand analysis rule to obtain the carbon source demand difference, which is the difference between the actual carbon source demand of the biological fluidized bed tower reactor and the target carbon source demand corresponding to the total nitrogen target value.

[0049] Further, it is judged whether the carbon source demand difference is positive. If the carbon source demand difference is positive, it is determined that the demand type is carbon source deficiency. If the carbon source demand difference is negative, it is determined that the demand type is carbon source sufficiency. If the carbon source demand difference is zero, it indicates that there is no carbon source demand deviation at this time, and it is determined that the demand type is no demand, i.e., no need to perform subsequent steps.

[0050] In specific embodiments, the water inlet monitoring data, the water outlet monitoring data and the total nitrogen target value are analyzed according to the analysis formula in the demand analysis rule to obtain a corresponding carbon source demand difference, including: calculating the difference between the water inlet total nitrogen value in the water inlet monitoring data and the total nitrogen target value to obtain a total nitrogen removal difference; obtaining a carbon source demand value corresponding to the total nitrogen removal difference according to the carbon-nitrogen ratio set in the demand analysis rule; and analyzing and calculating the carbon source demand value, the carbon content in the water outlet monitoring data and the carbon content in the water inlet monitoring data according to the analysis formula to obtain a corresponding carbon source demand difference.

[0051] The specific process of obtaining the carbon source demand difference is to first calculate the difference between the water inlet total nitrogen value in the water inlet monitoring data and the total nitrogen target value to obtain a total nitrogen removal difference. For example, the water inlet total nitrogen value is XTN in , the total nitrogen target value is XTN out , and the total nitrogen removal difference is ΔXTN = XTN in - XTN out ; the units of the three values are all mg / L.

[0052] Further, the carbon source demand value corresponding to the total nitrogen removal difference is obtained according to the carbon-nitrogen ratio set in the demand analysis rule, and the carbon-nitrogen ratio is denoted as Ka, which means the carbon-nitrogen ratio required for denitrification, which can be set by the operator according to the actual carbon source type of the project. Therefore, the carbon source demand value XCOD = Ka × ΔXTN, and the carbon source demand value is the total amount of COD (chemical oxygen demand) required to remove ΔXTN total nitrogen, with the unit of mg / L.

[0053] Then, the carbon source demand value, the carbon content in the water outlet monitoring data and the carbon content in the water inlet monitoring data are analyzed and calculated according to the analysis formula to obtain the carbon source demand difference, and the analysis formula can be represented by formula (1) as follows:

[0054] (1) ;

[0055] Wherein, ΔXCOD is the carbon source demand difference, XCOD is the carbon source demand value, XCOD in is the carbon content in the water inlet monitoring data, and XCOD out is the carbon content in the water outlet monitoring data.

[0056] S140, if the demand type in the demand information is carbon source sufficient, obtaining the stripping control information corresponding to the demand information according to the pre-set stripping control strategy.

[0057] Further, it is judged whether the demand type is carbon source sufficient, and if the demand type is carbon source sufficient, the stripping control information corresponding to the demand information is obtained according to the pre-set stripping control strategy.

[0058] In specific embodiments, step S140 comprises the sub-steps of: obtaining a water extraction increment corresponding to the demand information according to the stripping regulation strategy; and obtaining a corresponding target stripping air consumption as the corresponding stripping regulation information according to the water extraction increment and the current stripping amount of the stripping fan.

[0059] According to the stripping regulation strategy, the water extraction increment corresponding to the demand information can be obtained, and the current carbon source consumption XCOD t = XCOD in - XCOD out ; and calculating a carbon source demand ratio between the absolute value of the carbon source demand difference in the demand information and the current carbon source consumption. According to the stripping regulation function in the stripping regulation strategy, the water extraction increment corresponding to the carbon source demand ratio is calculated, which can be expressed by formula (2):

[0060] (2);

[0061] wherein, △Q is the water extraction increment, Q e is the rated value of the device water extraction amount, r Q is the regulation coefficient set in the function, for example, the regulation coefficient r Q may be set to 1.08; if the carbon source demand ratio is 0.3, the water extraction increment corresponding to the calculation is 0.2833 times the rated value of the device water extraction amount Q e .

[0062] Further, the controller can obtain the current stripping amount of the stripping fan, and obtain the corresponding target stripping air consumption according to the water extraction increment and the current stripping amount, and the obtained target stripping air consumption can be used as the stripping regulation information.

[0063] Specifically, the target stripping air consumption Q t =△Q / K+Q f , wherein Q x =K×Q f ; Q t is the target stripping air consumption (unit: m 3 / h), K is the stripping circulation coefficient, Q f is the current stripping amount (unit: m 3 / h), and Q x is the current water extraction amount (unit: m 3 / h). Wherein, the stripping circulation coefficient K is a coefficient value related to the stripping riser height, and the correlation is shown in Table 1.

[0064] Table 1

[0065] Height of riser h (in m) Stripping circulation factor K 0.87 2 1.3 3 1.73 4 2.18 5 2.68 6 3.5 9 4.5 12 5.5 15 6.4 18 7.6 22

[0066] S150, send the corresponding stripping control instruction to the stripping fan according to the stripping regulation information.

[0067] According to the stripping regulation information, the target speed of the stripping fan is determined, and the stripping control instruction is generated according to the target speed and sent to the stripping fan, so as to adjust the amount of stripping air output by the stripping fan. The greater the speed of the stripping fan, the greater the amount of stripping air output. By increasing the amount of stripping air, the amount of water lifted is increased, and the reflux of mixed liquid is increased, so as to improve the total nitrogen removal.

[0068] S160, if the demand type in the demand information is carbon source deficiency, the carbon supplement regulation information corresponding to the demand information and the process monitoring data is obtained according to the preset carbon source supplement strategy.

[0069] If the demand type in the demand information is carbon source deficiency, carbon source supplement operation is needed at this time. Specifically, the carbon supplement regulation information corresponding to the demand information and the process monitoring data is obtained according to the configured carbon source supplement strategy.

[0070] In specific embodiments, step S160 includes the following sub-steps: obtaining a deviation value corresponding to the demand information and the actual value of the anoxic zone in the process monitoring data according to the anoxic analysis formula in the carbon source supplement strategy; obtaining an adjustment frequency value corresponding to the deviation value according to the frequency adjustment formula in the carbon source supplement strategy; determining the target frequency of the dosing pump according to the current frequency and the adjustment frequency as the corresponding carbon supplement regulation information.

[0071] Specifically, the deviation value corresponding to the demand information and the actual value of the anoxic zone can be obtained according to the anoxic analysis formula in the carbon source supplement strategy. For example, the anoxic analysis formula can be expressed as:

[0072] (3) ;

[0073] Wherein, △XORP is the deviation value, XORP m is the actual value of the anoxic zone, XORP s is the target value of the anoxic zone corresponding to the demand information, wherein the actual value of the anoxic zone can be obtained in the following way:

[0074] (4) ;

[0075] Wherein, t is the basic coefficient, for example, t is determined to be 0.25 according to experimental fitting data, D0 is a fixed set carbon source parameter, and △XCOD is the carbon source demand difference.

[0076] After obtaining the deviation value, further obtain the adjustment frequency value corresponding to the deviation value according to the frequency adjustment type in the carbon source supplement strategy. Specifically, the frequency adjustment value ΔF = d × [f(XORP s ) - f(XORP m )] / △t, wherein d is a preset fixed factor, and the specific value can be determined according to the actual project equipment selection; △t is the set adjustment period time (for example, △t = 10 minutes); f(X) is an adjustment function, which can be specifically expressed as f(X) = N0 × X / D0, and N0 is a fixed set basic frequency, for example, the basic frequency is set to 10.

[0077] Further, the target frequency of the dosing pump is determined according to the current frequency and the adjustment frequency. For example, if the current frequency is F0 and the adjustment frequency is ΔF, the target frequency F = F0 + ΔF is determined.

[0078] Before obtaining the deviation value according to the anoxic analysis formula in the carbon source supplement strategy and the actual value of the anoxic zone in the demand information and the process monitoring data, it further includes: judging whether the device type of the dosing pump is a preset type; if the device type is the preset type, executing the step of obtaining the deviation value according to the anoxic analysis formula in the carbon source supplement strategy and the actual value of the anoxic zone in the demand information and the process monitoring data; if the device type is not the preset type, obtaining the target frequency corresponding to the demand information according to the flow calculation formula in the carbon source supplement strategy as the corresponding carbon supplement regulation information.

[0079] Specifically, before executing the step of obtaining the deviation value, it can also be judged whether the device type of the dosing pump is a preset type, which can be a non-metering pump. If the device type is the preset type, the above-mentioned step of obtaining the deviation value can be executed, and the above-mentioned step of obtaining the deviation value is suitable for both metering pumps and non-metering pumps. If the device type is not the preset type, in addition to obtaining the target frequency according to the above-mentioned step, the target frequency corresponding to the demand information can also be obtained according to the flow calculation formula in the carbon source supplement strategy (only suitable for metering pumps) as the corresponding carbon supplement regulation information. The flow calculation formula can be expressed as:

[0080] (5);

[0081] Wherein F is the target frequency calculated, which means the number of dosing times in the adjustment period time, for example, if F is 8, it means that the dosing needs to be performed 8 times in the adjustment period time (for example, 10 minutes); F0 is the original frequency of the dosing pump, γ is a fixed factor set in the formula, and the specific value is determined according to the actual project equipment selection; ΔXCOD is the carbon source demand difference, Q wis the reactor water treatment amount, μ is the stroke of the dosing pump (carbon source dosing pump), C is the carbon source mother liquor configuration concentration, and the unit is mg / L (based on COD), Q y is the rated flow of the dosing pump (carbon source dosing pump).

[0082] S170, according to the carbon supplement regulation information, a corresponding carbon supplement control instruction is sent to the dosing pump.

[0083] According to the carbon supplement regulation information, a corresponding carbon supplement control instruction is sent to the dosing pump. If the carbon supplement regulation information in the current adjustment period is a decimal number, the carbon supplement control instruction is sent to the dosing pump according to the carbon supplement regulation information in the current adjustment period. The remaining decimal number after rounding off is added to the carbon supplement regulation information of the next adjustment period, and is used as the basis for sending the carbon supplement control instruction in the next adjustment period.

[0084] If the target frequency in the carbon supplement regulation information is 7.6, the carbon supplement control instruction is sent to the dosing pump with a frequency of "7" in the current adjustment period. The target frequency of the next adjustment period is "7.6+0.6=8.2", so the carbon supplement control instruction is sent to the dosing pump with a frequency of "8" in the next adjustment period. The remaining decimal number "0.2" after rounding off is added to the next adjustment period.

[0085] In specific embodiments, the method further comprises: comparing the water monitoring data and the total nitrogen target value, and the process monitoring data and the demand information according to a preset comparison verification rule, to obtain a verification result of whether the standard is met. This method step can be executed after step S150 or after step S170.

[0086] Further, the water monitoring data and the total nitrogen target value, and the process monitoring data and the demand information can be compared according to the comparison verification rule. Specifically, the first deviation ratio between the current total nitrogen value in the water monitoring data and the total nitrogen target value can be calculated, such as the first deviation ratio = |XTN g - XTN out | / XTN out , XTN g is the total nitrogen value, XTN out is the total nitrogen target value. Similarly, the second deviation ratio between the current anoxic zone actual value in the process monitoring data and the anoxic zone target value corresponding to the demand information can be obtained, such as the second deviation ratio = |XORP m - XORP s | / XORP s , XORP m is the anoxic zone actual value, XORP sThe target value of the anoxic zone corresponding to the demand information is determined. It is judged whether the first deviation ratio and the second deviation ratio are both not greater than a proportion threshold set by the comparison checking rule (for example, the proportion threshold is set to 5%); if the first deviation ratio and the second deviation ratio are both not greater than the proportion threshold, a passing checking result is obtained. If the first deviation ratio or the second deviation ratio is greater than the proportion threshold, a failing checking result is obtained.

[0087] Further, in the process of obtaining the checking result, the actual dosing frequency of the dosing pump and the actual output of the stripping air of the stripping fan can also be obtained, and it is verified whether the actual dosing frequency is consistent with the carbon supplement regulation information, and whether the actual output of the stripping air is consistent with the stripping regulation information. If the first deviation ratio and the second deviation ratio are both not greater than the proportion threshold, and the two sets of verification results are both consistent, a passing checking result is obtained. If the first deviation ratio is greater than the proportion threshold or the second deviation ratio is greater than the proportion threshold, a failing checking result is obtained. Or the first deviation ratio and the second deviation ratio are both not greater than the proportion threshold, but any one of the verification results is not consistent, a failing checking result is also obtained.

[0088] The present application can realize the accurate carbon source control in the sewage treatment process, on the one hand, avoid the excessive addition of carbon source, which leads to the risk of increasing the operation cost and even exceeding the standard of effluent COD; on the other hand, avoid the insufficient addition of carbon source, which exists the risk of exceeding the standard of total nitrogen in effluent. The total nitrogen removal efficiency can be maximized, and the effluent quality is more guaranteed.

[0089] The biological fluidized bed tower reactor high-efficiency nitrogen removal intelligent control method disclosed in the above embodiment, the method comprises: obtaining monitoring data and setting a total nitrogen target value, obtaining demand information according to the monitoring data and the total nitrogen target value; if the demand type in the demand information is carbon source sufficient, corresponding stripping regulation information is obtained and a stripping control instruction is generated and sent to the stripping fan; if the demand information in the demand information is carbon source insufficient, corresponding carbon supplement regulation information is obtained and a carbon supplement control instruction is generated and sent to the dosing pump. The above method, by obtaining monitoring data and setting a total nitrogen target value, obtaining demand information according to the detection data and the operation condition of the biological fluidized bed, and sending a stripping control instruction according to the demand information to improve the stripping air consumption, or sending a carbon supplement regulation instruction according to the demand information to perform carbon supplement operation, the biological fluidized bed is flexibly controlled to improve the overall nitrogen removal efficiency, and the practical application effect of the biological fluidized bed is greatly improved.

[0090] The present application also provides a biological fluidized bed tower reactor high-efficiency nitrogen removal intelligent control device, such as Figure 2 and Figure 3As shown, the device comprises a water inlet tank, a water outlet tank, a biological fluidized bed reactor, a controller, an inlet water online analyzer, an outlet water online analyzer, an ORP instrument, a water inlet pump, a stripping fan and a dosing pump; the water inlet tank is arranged upstream of the biological fluidized bed reactor, and the water inlet tank is communicated with the biological fluidized bed reactor through a water inlet pipeline; the water inlet pump is arranged on the water inlet pipeline; the water outlet tank is arranged downstream of the biological fluidized bed reactor, and the water outlet tank is communicated with the biological fluidized bed reactor through a water outlet pipeline; the stripping fan and the dosing pump are both arranged in the biological fluidized bed reactor, and the ORP instrument is respectively connected in communication with the biological fluidized bed reactor, the stripping fan and the dosing pump; the inlet water online analyzer is arranged on one side of the water inlet tank for monitoring the water inlet tank; the outlet water online analyzer is arranged on one side of the water outlet tank for monitoring the water outlet tank; the controller is connected in communication with the inlet water online analyzer, the outlet water online analyzer, the ORP instrument, the stripping fan and the dosing pump to realize transmission of data information; and the controller is used to execute the intelligent control method for high-efficiency nitrogen removal of the biological fluidized bed tower reactor as described in the above embodiment.

[0091] In a more specific embodiment, as Figure 4 As shown, the device further comprises the following units arranged in the controller 4: a data monitoring unit 110 for obtaining inlet water monitoring data, outlet water monitoring data and process monitoring data monitored by the inlet water online analyzer, the outlet water online analyzer and the ORP instrument; a total nitrogen target value obtaining unit 120 for setting a total nitrogen target value corresponding to the inlet water monitoring data and the process monitoring data according to a preset target setting rule; a demand information obtaining unit 130 for analyzing the inlet water monitoring data, the outlet water monitoring data and the total nitrogen target value according to a preset demand analysis rule to obtain corresponding demand information; a stripping regulation information obtaining unit 140 for, if the demand type in the demand information is carbon source sufficient, obtaining stripping regulation information corresponding to the demand information according to a preset stripping regulation strategy; a stripping control instruction sending unit 150 for sending corresponding stripping control instructions to the stripping fan according to the stripping regulation information; a carbon source supplement regulation information obtaining unit 160 for, if the demand type in the demand information is carbon source insufficient, obtaining carbon source supplement regulation information corresponding to the demand information and the process monitoring data according to a preset carbon source supplement strategy; and a carbon source supplement control instruction sending unit 170 for sending corresponding carbon source supplement control instructions to the dosing pump according to the carbon source supplement regulation information.

[0092] The controller in the biological fluidized bed tower reactor high-efficiency denitrification intelligent control device provided in the embodiment of the present application applies the biological fluidized bed tower reactor high-efficiency denitrification intelligent control method to obtain monitoring data and set a total nitrogen target value, obtains demand information according to the monitoring data and the total nitrogen target value, obtains stripping control information and generates a stripping control instruction to be sent to a stripping fan if the demand type in the demand information is carbon source sufficient, and obtains carbon supplement control information and generates a carbon supplement control instruction to be sent to a dosing pump if the demand information in the demand information is carbon source insufficient. The above method obtains monitoring data and sets a total nitrogen target value, obtains demand information according to the monitoring data and the operation of the biological fluidized bed, and sends a stripping control instruction to increase the stripping air consumption according to the demand information or sends a carbon supplement control instruction to perform carbon supplement operation according to the demand information, so that the biological fluidized bed is flexibly controlled to improve the overall denitrification efficiency and greatly improve the practical application effect of the biological fluidized bed.

[0093] The units in the controller 4 can be realized in the form of a computer program, which can run on a computer device as shown in the figure. Figure 5

[0094] Please refer to Figure 5 , Figure 5 is a schematic block diagram of the computer device provided in the embodiment of the present application. The computer device can be a controller for executing the biological fluidized bed tower reactor high-efficiency denitrification intelligent control method to intelligently control the biological fluidized bed reactor.

[0095] Please refer to Figure 5 , the computer device 500 includes a processor 502, a memory and a communication interface 505 connected through a communication bus 501, wherein the memory can include a storage medium 503 and an internal memory 504.

[0096] The storage medium 503 can store an operating system 5031 and a computer program 5032. The computer program 5032 is executed to make the processor 502 execute the biological fluidized bed tower reactor high-efficiency denitrification intelligent control method, wherein the storage medium 503 can be a volatile storage medium or a non-volatile storage medium.

[0097] The processor 502 is used to provide computing and control capabilities to support the operation of the entire computer device 500.

[0098] The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503, and the computer program 5032 is executed by the processor 502 to make the processor 502 execute the biological fluidized bed tower reactor high-efficiency denitrification intelligent control method.

[0099] ​The communication interface 505 is configured to perform network communication, such as providing transmission of data information, etc. Figure 5 The structure shown in FIG. 5 is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device 500 to which the scheme of the present application is applied. Specifically, the computer device 500 can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0100] The processor 502 is configured to run the computer program 5032 stored in the memory, so as to implement the corresponding functions in the above-mentioned high-efficiency denitrification intelligent control method of the biological fluidized bed tower reactor.

[0101] Those skilled in the art can understand that Figure 5 The embodiments of the computer device shown in FIG. 5 do not constitute a limitation on the specific structure of the computer device. In other embodiments, the computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. For example, in some embodiments, the computer device can only include the memory and the processor. In such embodiments, the structure and functions of the memory and the processor are consistent with those of the embodiments shown in FIG. 5, and will not be described here. Figure 5

[0102] It should be understood that, in the embodiments of the present application, the processor 502 can be a central processing unit (CPU), and the processor 502 can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a controller or any other conventional processor.

[0103] In another embodiment of the present application, a computer readable storage medium is provided. The computer readable storage medium can be a volatile or non-volatile computer readable storage medium. The computer readable storage medium stores a computer program, wherein the computer program is executed by a processor to implement the steps included in the above-mentioned high-efficiency denitrification intelligent control method of the biological fluidized bed tower reactor.

[0104] ​Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the devices, apparatuses and units described above can refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here. Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be realized in electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, each example has been described in the foregoing description in terms of its general functionality, without regard to its specific combination of hardware and software. Whether the functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0105] In several embodiments provided by the present application, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely schematic, for example, the division of the units is merely logical functional division, and actual implementation can have another division, or units with the same function can be combined into one unit, for example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interfaces, devices or units, or can be electrical, mechanical or other form of connection.

[0106] The units described as separate components can or can not be physically separated, and the components shown as units can or can not be physical units, i.e. they can be located in one place or distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0107] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be realized in the form of hardware or software functional unit.

[0108] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the part of the prior art that contributes to the present application, or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a computer readable storage medium and includes a plurality of instructions for causing a computer device to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned computer readable storage medium includes a variety of media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM), a magnetic disk or an optical disk.

[0109] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed by the present application, and these modifications or replacements should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A high-efficiency denitrification intelligent control method for a biological fluidized bed tower reactor, characterized in that, The method is applied to a controller, which is in communication connection with an online water inlet analyzer, an online water outlet analyzer, an ORP instrument, a stripping fan and a dosing pump to realize transmission of data information; the method comprises: obtaining water inlet monitoring data, water outlet monitoring data and process monitoring data monitored by the online water inlet analyzer, the online water outlet analyzer and the ORP instrument; setting a total nitrogen target value corresponding to the water inlet monitoring data and the process monitoring data according to a preset target setting rule; analyzing the water inlet monitoring data, the water outlet monitoring data and the total nitrogen target value according to a preset demand analysis rule to obtain corresponding demand information; if a demand type in the demand information is carbon source sufficient, obtaining stripping control information corresponding to the demand information according to a preset stripping control strategy; sending corresponding stripping control instructions to the stripping fan according to the stripping control information; if the demand type in the demand information is carbon source insufficient, obtaining carbon supplement control information corresponding to the demand information and the process monitoring data according to a preset carbon source supplement strategy; sending corresponding carbon supplement control instructions to the dosing pump according to the carbon supplement control information.

2. The biological fluidized bed reactor high-efficiency nitrogen removal intelligent control method according to claim 1, characterized in that, The setting of the total nitrogen target value corresponding to the water inlet monitoring data and the process monitoring data according to the preset target setting rule comprises: setting a nitrogen removal rate corresponding to the process monitoring data according to the target setting rule; calculating a ratio of a water inlet total nitrogen value in the water inlet monitoring data to the nitrogen removal rate as a corresponding total nitrogen target value.

3. The biological fluidized bed reactor high-efficiency nitrogen removal intelligent control method according to claim 1, characterized in that, The analysis of the water inlet monitoring data, the water outlet monitoring data and the total nitrogen target value according to the preset demand analysis rule to obtain corresponding demand information comprises: analyzing the water inlet monitoring data, the water outlet monitoring data and the total nitrogen target value according to an analysis formula in the demand analysis rule to obtain a carbon source demand difference value; if the carbon source demand difference value is positive, determining that the demand type is carbon source insufficient; if the carbon source demand difference value is negative, determining that the demand type is carbon source sufficient; combining the determined demand type and the carbon source demand difference value to obtain corresponding demand information.

4. The intelligent control method for efficient nitrogen removal of a biological fluidized bed reactor tower according to claim 3, characterized in that, The analysis of the water inlet monitoring data, the water outlet monitoring data and the total nitrogen target value according to the analysis formula in the demand analysis rule to obtain a carbon source demand difference value comprises: calculating a total nitrogen removal difference value from a difference between a water inlet total nitrogen value in the water inlet monitoring data and the total nitrogen target value; obtaining a carbon source demand value corresponding to the total nitrogen removal difference value according to a carbon-nitrogen ratio set in the demand analysis rule; analyzing and calculating the carbon source demand value, water outlet carbon content in the water outlet monitoring data and carbon input in the water inlet monitoring data according to the analysis formula to obtain a corresponding carbon source demand difference value.

5. The intelligent control method for efficient nitrogen removal of a biological fluidized bed reactor tower according to any one of claims 1-4, characterized in that, The obtaining of stripping control information corresponding to the demand information according to the stripping control strategy comprises: obtaining a water increase corresponding to the demand information according to the stripping control strategy; According to the water increment and the current stripping amount of the stripping fan, a corresponding target stripping air amount is obtained as corresponding stripping regulation information.

6. The intelligent control method for efficient nitrogen removal of a biological fluidized bed reactor tower according to any one of claims 1-4, characterized in that, The obtaining of the carbon source supplement regulation information corresponding to the demand information and the process monitoring data according to the preset carbon source supplement strategy comprises: According to the anoxic analysis formula in the carbon source supplement strategy, a deviation value corresponding to the actual value of the anoxic zone in the demand information and the process monitoring data is obtained. According to the frequency adjustment formula in the carbon source supplement strategy, an adjustment frequency value corresponding to the deviation value is obtained. According to the current frequency and the adjustment frequency, a target frequency of the dosing pump is determined as the corresponding carbon source supplement regulation information.

7. The biological fluidized bed reactor high-efficiency nitrogen removal intelligent control method according to claim 6, characterized in that, Before the obtaining of the deviation value corresponding to the actual value of the anoxic zone in the demand information and the process monitoring data according to the anoxic analysis formula in the carbon source supplement strategy, the method further comprises: determining whether the device type of the dosing pump is a preset type; if the device type is the preset type, the step of obtaining the deviation value corresponding to the actual value of the anoxic zone in the demand information and the process monitoring data according to the anoxic analysis formula in the carbon source supplement strategy is performed; if the device type is not the preset type, a target frequency corresponding to the demand information is obtained as the corresponding carbon source supplement regulation information according to a flow calculation formula in the carbon source supplement strategy.

8. The intelligent control method for efficient nitrogen removal of a biological fluidized bed reactor tower according to any one of claims 1-4, characterized in that, The method further comprises: comparing and verifying the water outlet monitoring data and the total nitrogen target value, and the process monitoring data and the demand information according to a preset comparison and verification rule to obtain a verification result of whether the standard is met.

9. A biological fluidized bed tower reactor high-efficiency denitrification intelligent control device, characterized in that, The device comprises a water inlet pool, a water outlet pool, a biological fluidized bed reactor, a controller, a water inlet online analyzer, a water outlet online analyzer, an ORP instrument, a water inlet pump, a stripping fan and a dosing pump. The water inlet pool is arranged upstream of the biological fluidized bed reactor, and the water inlet pool is in communication with the biological fluidized bed reactor through a water inlet pipeline; the water inlet pump is arranged on the water inlet pipeline; the water outlet pool is arranged downstream of the biological fluidized bed reactor, and the water outlet pool is in communication with the biological fluidized bed reactor through a water outlet pipeline. The stripping fan and the dosing pump are both arranged in the biological fluidized bed reactor, and the ORP instrument is in communication connection with the biological fluidized bed reactor. The water inlet online analyzer is arranged on one side of the water inlet pool for monitoring the water inlet pool; the water outlet online analyzer is arranged on one side of the water outlet pool for monitoring the water outlet pool. The controller is in communication connection with the water inlet online analyzer, the water outlet online analyzer, the ORP instrument, the stripping fan and the dosing pump respectively to realize transmission of data information; and the controller is used to execute the biological fluidized bed tower reactor high-efficiency nitrogen removal intelligent control method according to any one of claims 1-8.

10. The biological fluidized bed reactor high-efficiency nitrogen removal intelligent control equipment according to claim 9, characterized in that, The device further comprises the following units arranged in the controller: a data monitoring unit for obtaining water inlet monitoring data, water outlet monitoring data and process monitoring data monitored by the water inlet online analyzer, the water outlet online analyzer and the ORP instrument; The total nitrogen target value acquisition unit is configured to set a total nitrogen target value corresponding to the influent monitoring data and the process monitoring data according to a preset target setting rule; The demand information acquisition unit is configured to analyze the influent monitoring data, the effluent monitoring data and the total nitrogen target value according to a preset demand analysis rule to obtain corresponding demand information; The stripping control information acquisition unit is configured to acquire stripping control information corresponding to the demand information according to a preset stripping control strategy if the demand type in the demand information is carbon source sufficient; The stripping control instruction sending unit is configured to send corresponding stripping control instructions to the stripping fan according to the stripping control information; The carbon supplement control information acquisition unit is configured to acquire carbon supplement control information corresponding to the demand information and the process monitoring data according to a preset carbon source supplement strategy if the demand type in the demand information is carbon source insufficient; The carbon supplement control instruction sending unit is configured to send corresponding carbon supplement control instructions to the dosing pump according to the carbon supplement control information.

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