CN113750793B - Ammonia spraying control method and device for flue gas denitration, terminal equipment and storage medium - Google Patents
Ammonia spraying control method and device for flue gas denitration, terminal equipment and storage medium Download PDFInfo
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- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01D—SEPARATION
- B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
- B01D53/34—Chemical or biological purification of waste gases
- B01D53/74—General processes for purification of waste gases; Apparatus or devices specially adapted therefor
- B01D53/86—Catalytic processes
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- B01D53/00—Separation of gases or vapours; Recovering vapours of volatile solvents from gases; Chemical or biological purification of waste gases, e.g. engine exhaust gases, smoke, fumes, flue gases, aerosols
- B01D53/34—Chemical or biological purification of waste gases
- B01D53/74—General processes for purification of waste gases; Apparatus or devices specially adapted therefor
- B01D53/86—Catalytic processes
- B01D53/90—Injecting reactants
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Abstract
The application is suitable for the technical field of flue gas denitration, and particularly relates to an ammonia spraying control method and device for flue gas denitration, terminal equipment and a storage medium. The target ammonia spraying flow, the target ammonia spraying pipeline pressure and the target ammonia spraying time delay time are obtained by comparing the flue gas real-time data with the historical ammonia spraying control data, and then the target valve body is output, so that the target ammonia spraying flow and the target ammonia spraying pipeline pressure are controlled at the target ammonia spraying time point, for example, the target valve body is controlled to output the target ammonia spraying flow and the target ammonia spraying pipeline pressure at the time point of the target ammonia spraying time delay time interval after the acquisition time point of the flue gas real-time data, the delayed ammonia spraying control is realized, the influence of the hysteresis of flue gas flowing into the reactor on the accuracy of the ammonia spraying control is avoided, the ammonia spraying control is more reasonable, the ammonia spraying control quantity can be accurately determined by combining the flue gas real-time data with the analysis of the historical ammonia spraying control data, and the ammonia spraying flow and the ammonia spraying pipeline pressure can be more timely and accurately controlled.
Description
Technical Field
The application belongs to the technical field of flue gas denitration, and particularly relates to an ammonia spraying control method and device for flue gas denitration, terminal equipment and a storage medium.
Background
The selective catalytic reduction (Selective Catalytic Reduction, SCR) technology is the technology with the widest application range in the flue gas denitration at present, and the working principle is as follows: spraying ammonia into the flue gas with the temperature range of 280-420 ℃ under the action of a catalyst to spray NO X Reduction to N 2 And H 2 O, wherein the control accuracy of ammonia spraying amount influences the denitration efficiency, and the existing SCR flue gas denitration ammonia spraying control strategy generally adopts single-loop proportional-integral-derivative (Proportion Integral Differential, PID) control or ammonia nitrogen molar ratio cascade control and the like.
However, the SCR flue gas denitration working condition is complex, after flue gas is detected by an inlet flue gas automatic monitoring system (Continuous Emission Monitoring System, CEMS), the flue gas is detected by an outlet CEMS after being subjected to denitration by an SCR denitration reactor, a certain distance is reserved between an ammonia injection regulating valve and the SCR denitration reactor, a certain time is required for the ammonia gas to enter the SCR denitration reactor after the regulating valve acts,resulting in control with hysteresis and due to combustion conditions, denitration inlet NO x The concentration change is large and quick, single-loop PID control or ammonia nitrogen molar ratio cascade cannot deal with the delay problem, and the regulation speed is low due to the PID characteristics, so that the NO at the denitration inlet cannot be responded x Changes in concentration tend to cause overshoot. Therefore, the existing ammonia injection control methods such as single-loop PID control or cascade control cannot timely and accurately adjust the ammonia injection amount, and the ammonia injection amount is easily excessive or insufficient, so that ammonia escapes or NO at the discharge outlet is easily caused x The concentration exceeds the standard.
Disclosure of Invention
The embodiment of the application provides an ammonia spraying control method and device for flue gas denitration, terminal equipment and a storage medium, which can solve the problems of untimely and inaccurate ammonia spraying amount adjustment of the existing ammonia spraying control method.
In a first aspect, an embodiment of the present application provides an ammonia injection control method for flue gas denitration, where the ammonia injection control method includes:
acquiring the real-time data of the flue gas and a time tag of the real-time data of the flue gas, wherein the real-time data of the flue gas comprises inlet real-time data of a flue gas inlet and outlet real-time data of a flue gas outlet, the inlet real-time data is used for reflecting the flue gas characteristics of the flue gas inlet, and the outlet real-time data is used for reflecting the flue gas characteristics of the flue gas outlet;
Acquiring historical ammonia spraying control data;
acquiring target ammonia spraying flow, target ammonia spraying pipeline pressure and target ammonia spraying time delay time length according to the flue gas real-time data and the historical ammonia spraying control data;
acquiring a target ammonia spraying time point according to the time tag and the target ammonia spraying delay time length;
and sending the target ammonia injection time point, the target ammonia injection flow and the target ammonia injection pipeline pressure to a target valve body, wherein the target ammonia injection time point, the target ammonia injection flow and the target ammonia injection pipeline pressure are used for indicating the target valve body to inject ammonia.
In a second aspect, an embodiment of the present application provides an ammonia injection control device for flue gas denitration, where the ammonia injection control device includes:
the system comprises a real-time data acquisition module, a real-time data acquisition module and a real-time data processing module, wherein the real-time data acquisition module is used for acquiring real-time data of smoke and a time tag of the real-time data of the smoke, the real-time data of the smoke comprise inlet real-time data of a smoke inlet and outlet real-time data of a smoke outlet, the inlet real-time data are used for reflecting the smoke characteristics of the smoke inlet, and the outlet real-time data are used for reflecting the smoke characteristics of the smoke outlet;
the control data acquisition module is used for acquiring historical ammonia injection control data;
The data acquisition module is used for acquiring target ammonia spraying flow, target ammonia spraying pipeline pressure and target ammonia spraying time delay time length according to the flue gas real-time data and the historical ammonia spraying control data;
the time point acquisition module is used for acquiring a target ammonia injection time point according to the time tag and the target ammonia injection delay time length;
the data sending module is used for sending the target ammonia injection time point, the target ammonia injection flow and the target ammonia injection pipeline pressure to a target valve body, wherein the target ammonia injection time point, the target ammonia injection flow and the target ammonia injection pipeline pressure are used for indicating the target valve body to inject ammonia.
In a third aspect, an embodiment of the present application provides a terminal device, where the terminal device includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and when the processor executes the computer program, the ammonia injection control method for flue gas denitration according to the first aspect is implemented.
In a fourth aspect, an embodiment of the present application provides a computer readable storage medium storing a computer program, where the computer program when executed by a processor implements the ammonia injection control method for flue gas denitration according to the first aspect.
In a fifth aspect, an embodiment of the present application provides a computer program product, which when run on a terminal device, causes the terminal device to perform the ammonia injection control method for flue gas denitrification as described in the first aspect above.
Compared with the prior art, the embodiment of the application has the beneficial effects that: according to the application, the target ammonia spraying flow, the target ammonia spraying pipeline pressure and the target ammonia spraying time delay time are obtained by comparing the flue gas real-time data with the historical ammonia spraying control data, and then the target valve body is output, so that the target ammonia spraying flow and the target ammonia spraying pipeline pressure are controlled at the target ammonia spraying time point, for example, the target ammonia spraying flow and the target ammonia spraying pipeline pressure are controlled at the time point of the target ammonia spraying time delay time interval after the acquisition time point of the flue gas real-time data, the delayed ammonia spraying control is realized, the influence of the hysteresis of flue gas flowing into the reactor on the accuracy of the ammonia spraying control is avoided, the ammonia spraying control is more reasonable, the ammonia spraying control quantity can be accurately determined by combining the flue gas real-time data with the analysis of the historical ammonia spraying control data, and the ammonia spraying flow and the ammonia spraying pipeline pressure can be more timely and accurately controlled.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of an ammonia injection control method for flue gas denitration according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of an environment-friendly desulfurization and denitrification process according to an embodiment of the application;
fig. 3 is a schematic flow chart of an ammonia spraying control method for flue gas denitration according to a second embodiment of the present application;
fig. 4 is a schematic structural diagram of an ammonia spraying control device for flue gas denitration according to a third embodiment of the present application;
fig. 5 is a schematic structural diagram of a terminal device according to a fourth embodiment of the present application;
in the figure, 21 is a pressure regulating valve, 22 is a flow regulating valve, and 23 is an induced draft fan.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
As used in the present description and the appended claims, the term "if" may be interpreted as "when..once" or "in response to a determination" or "in response to detection" depending on the context. Similarly, the phrase "if a determination" or "if a [ described condition or event ] is detected" may be interpreted in the context of meaning "upon determination" or "in response to determination" or "upon detection of a [ described condition or event ]" or "in response to detection of a [ described condition or event ]".
Furthermore, the terms "first," "second," "third," and the like in the description of the present specification and in the appended claims, are used for distinguishing between descriptions and not necessarily for indicating or implying a relative importance.
Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
The embodiment of the application provides an ammonia spraying control method for flue gas denitration, which can be applied to terminal equipment such as desktop computers, notebook computers, ultra-mobile personal computer (UMPC), netbooks, cloud servers, personal digital assistants (personal digital assistant, PDA) and the like, and the embodiment of the application does not limit the specific types of the terminal equipment.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.
In order to illustrate the technical scheme of the application, the following description is made by specific examples.
Referring to fig. 1, a flow of an ammonia injection control method for flue gas denitration according to an embodiment of the present application is provided, where the ammonia injection control method may be applied to a terminal device, and as shown in the figure, the ammonia injection control method may include the following steps:
step S101, acquiring the smoke real-time data and the time tag of the smoke real-time data.
Wherein the smoke real-time data comprises inlet real-time data of a smoke inlet and outlet real-time data of a smoke outlet, the inlet real-time data is used for reflecting smoke characteristics of the smoke inlet, the outlet real-time data is used for reflecting smoke characteristics of the smoke outlet, and the inlet real-time data of the smoke inlet comprises but is not limited to smoke flow, flue draft and smoke O 2 Concentration and flue gas NO x Concentration, outlet real-time data of the flue gas outlet includes, but is not limited to, flue gas O 2 Concentration and flue gas NO x Concentration.
The time tag may refer to a time point of collecting the real-time data of the flue gas, for example, the time point of collecting the real-time data of the flue gas is t, and the corresponding time tag is t; for convenience of description, the time corresponding to the time point of collecting the real-time data of the flue gas is taken as the current time.
Referring to fig. 2, a schematic structural diagram of an environment-friendly desulfurization and denitrification process according to a first embodiment of the present application is provided, where an inlet CEMS is disposed at a flue gas inlet, for collecting inlet real-time data; an outlet CEMS is provided between the SCR reactor and the induced draft fan 23 for collecting outlet real-time data. When the entrance CEMS and the exit CEMS collect the real-time data of the smoke, the collected data correspond to time points (namely time labels), the terminal equipment can send data collection instructions to the entrance CEMS and the exit CEMS and acquire the real-time data of the smoke and the time labels of the real-time data of the smoke from the feedback of the entrance CEMS and the exit CEMS, and the terminal equipment can also interact with a distributed control system (Distributed Control System, DCS) by sending data collection instructions to the DCS and acquiring the real-time data of the smoke and the time labels of the real-time data of the smoke from the feedback of the DCS, wherein the DCS is connected with the entrance CEMS and the exit CEMS to collect the real-time data of the smoke in real time; in fig. 2, the flue gas passes through a desulfurizing tower and a dust remover, and then is mixed with ammonia gas to enter an SCR reactor for denitration of the flue gas real-time data. In fig. 2, P in PIC1001 is represented as pressure, I is displayed, C is controlled, and the gauge number is 1001; f in FIC1001 is denoted as flow, I is display, C is control, and instrument number is 1001.
Step S102, historical ammonia injection control data is obtained.
The historical ammonia spraying control data are ammonia spraying control data stored in a database before the current moment, the historical ammonia spraying control data comprise at least one group of control data, the group of control data comprise flue gas historical data and ammonia spraying control quantity corresponding to the flue gas historical data, and the type of the flue gas historical data is the same as the type of the flue gas real-time data.
For example, the flue gas real-time data includes inlet flue gas flow and inlet flue draft, and the flue gas history data needs to have inlet flue gas flow and inlet flue draft. The inlet real-time data in the application comprises 4 data types, namely inlet flue gas flow, inlet flue suction and inlet flue gas O 2 Concentration and inlet flue gas NO x The concentration and outlet real-time data comprise 2 data types, namely outlet flue gas O 2 Concentration and outlet flue gas NO x The concentration, therefore, the flue gas history data includes 6 data types, namely inlet flue gas flow, inlet flue gas draft, inlet flue gas O 2 Concentration, inlet flue gas NO x Concentration, outlet flue gas O 2 Concentration and outlet flue gas NO x Concentration. The ammonia injection control quantity corresponding to the flue gas history data comprises, but is not limited to, ammonia injection flow, ammonia injection pipeline pressure, ammonia injection time delay time length flow weighting coefficient, pressure weighting coefficient and time length weighting coefficient, wherein the flow weighting coefficient, the pressure weighting coefficient and the time length weighting coefficient are used for correcting the ammonia injection flow, the ammonia injection pipeline pressure and the ammonia injection time delay time length according to the flue gas real-time data. Optionally, the historical ammonia injection control data may also include information on denitration efficiency, time, and the like.
And step S103, acquiring target ammonia spraying flow, target ammonia spraying pipeline pressure and target ammonia spraying time delay time length according to the flue gas real-time data and the historical ammonia spraying control data.
According to the smoke real-time data and preset logic, matching a group of control data from the historical ammonia spraying control data, and according to the ammonia spraying flow, the ammonia spraying pipeline pressure and the ammonia spraying time delay duration in the group of control data, determining the target ammonia spraying flow, the target ammonia spraying pipeline pressure and the target ammonia spraying time delay duration. When the historical ammonia injection control data cannot be matched with a group of control data, the terminal equipment can prompt through outputting alarm information and the like.
When the control data of the historical ammonia spraying control data are enough, the flue gas real-time data can be matched with the same set of control data in the historical ammonia spraying control data, and then the ammonia spraying flow rate, the ammonia spraying pipeline pressure and the ammonia spraying delay time length of the set of control data are the target ammonia spraying flow rate, the target ammonia spraying pipeline pressure and the target ammonia spraying delay time length.
When the control data of the historical ammonia injection control data are fewer, the flue gas real-time data can not be matched with the same group of control data, and can only be matched with similar control data, and because the flue gas real-time data and the flue gas historical data in the control data have certain differences, the ammonia injection flow, the ammonia injection pipeline pressure and the ammonia injection time delay duration in the control data also need to be corrected so as to meet the requirement of the flue gas real-time data on ammonia injection control, and each group of control data of the historical ammonia injection control data also needs to comprise a flow weighting coefficient, a pressure weighting coefficient and a duration weighting coefficient.
Optionally, according to the flue gas real-time data and the historical ammonia spraying control data, acquiring the target ammonia spraying flow, the target ammonia spraying pipeline pressure and the target ammonia spraying time delay time length comprises the following steps:
detecting whether the smoke history data which is the same as the smoke real-time data exists in at least one group of control data;
if the smoke historical data which is the same as the smoke real-time data exist, determining the smoke historical data which is the same as the smoke real-time data as target smoke historical data, determining the ammonia spraying flow corresponding to the target smoke historical data as target ammonia spraying flow, wherein the ammonia spraying pipeline pressure corresponding to the target smoke historical data is target ammonia spraying pipeline pressure, and the ammonia spraying delay time corresponding to the target smoke historical data is target ammonia spraying delay time;
if the flue gas historical data which is the same as the flue gas real-time data does not exist, acquiring the similarity between the flue gas historical data in at least one group of control data and the flue gas real-time data respectively;
detecting whether at least one group of control data has smoke history data with similarity exceeding a similarity threshold value with the smoke real-time data;
if the smoke history data with the similarity exceeding the similarity threshold value exists, determining the smoke history data with the similarity exceeding the similarity threshold value as alternative smoke history data, and acquiring a difference value of the alternative smoke history data and the smoke real-time data;
Obtaining a flow weighting value according to the flow weighting coefficient corresponding to the difference value and the alternative flue gas historical data; acquiring a pressure weighted value according to the pressure weighted coefficient corresponding to the difference value and the alternative flue gas historical data; acquiring a time length weighting value according to the time length weighting coefficient corresponding to the difference value and the candidate smoke history data;
correcting the ammonia spraying flow corresponding to the alternative flue gas historical data according to the flow weighted value to obtain a target ammonia spraying flow; correcting the ammonia spraying pipeline pressure corresponding to the alternative flue gas historical data according to the pressure weighted value to obtain target ammonia spraying pipeline pressure; and correcting the ammonia spraying time delay time length corresponding to the candidate flue gas historical data according to the time length weighted value to obtain the target ammonia spraying time delay time length.
When the similarity comparison is carried out on the smoke real-time data and each group of control data in the historical ammonia spraying control data, namely the smoke real-time data and the smoke historical data are compared, the similarity of the smoke real-time data and the smoke historical data can be evaluated through a least square method by comparing the smoke real-time data and each data type in the smoke historical data one by one, and a group of control data meeting the preset similarity condition is found out.
The historical ammonia spraying control data can be matched with the flue gas historical data which is completely the same as the flue gas real-time data, the inlet real-time data of the flue gas real-time data is the same as the inlet historical data of the flue gas historical data, the outlet real-time data of the flue gas real-time data is the same as the outlet historical data of the flue gas historical data, and obviously the ammonia spraying control is controlled according to the ammonia spraying control quantity corresponding to the flue gas historical data; if the similar smoke history data can be only matched, the weighting coefficients corresponding to the similar smoke history data are required to correct the ammonia spraying flow, the ammonia spraying pipeline pressure and the ammonia spraying time delay. For example, for the target ammonia spraying flow, the difference between the flue gas real-time data and the flue gas historical data is weighted and added through the flow weighting coefficient to obtain a flow weighting value, and the flow weighting value and the ammonia spraying flow corresponding to the flue gas historical data are added to obtain the target ammonia spraying flow.
In addition, if at least two pieces of flue gas history data with similarity exceeding a similarity threshold value with the flue gas real-time data exist, the flue gas history data with higher similarity is selected from the at least two pieces of flue gas history data to serve as candidate flue gas history data.
Step S104, obtaining a target ammonia spraying time point according to the time tag and the target ammonia spraying time delay time length.
The target ammonia spraying time delay time length is a time period, and a time point corresponding to the interval target ammonia spraying time delay time length after the time label is the target ammonia spraying time point. For example, the current time t is the real-time data of the flue gas collected, the target ammonia spraying time delay time is 3s, and the target ammonia spraying time point is the time t+3.
Step S105, the target ammonia injection time point, the target ammonia injection flow rate, and the target ammonia injection line pressure are sent to the target valve body.
The target ammonia injection time point, the target ammonia injection flow rate and the target ammonia injection pipeline pressure are used for indicating a target valve body to inject ammonia, the target valve body is a flow regulating valve and a pressure regulating valve for controlling the ammonia injection flow rate and the ammonia injection pipeline pressure, and referring to fig. 2, a pressure regulating valve 21 and a flow regulating valve 22 are arranged on a flow pipeline of ammonia in the figure, and pipeline pressure and flow in the flow ammonia pipeline are controlled by the pressure regulating valve 21 and the flow regulating valve 22.
When in actual use, the terminal equipment can output the target ammonia spraying time point, the target ammonia spraying flow and the target ammonia spraying pipeline pressure to the DCS, wherein the DCS is connected with and controls the pressure regulating valve and the flow regulating valve on the ammonia gas flow pipeline.
Because the flue gas needs to pass through the desulfurizing tower and the dust remover from the inlet CEMS to the SCR reactor, the flue gas at the current moment can reach the SCR reactor after a certain time, and the flue gas at the current moment and ammonia generated by ammonia spraying control can reach the SCR reactor simultaneously through ammonia delay control, so that the ammonia and the flue gas fully react, and the condition that ammonia escape or deamination efficiency is lower is avoided.
Optionally, after sending the target ammonia injection time point, the target ammonia injection flow rate and the target ammonia injection line pressure to the target valve body, the method further comprises:
obtaining candidate NO of flue gas outlet x Concentration, candidate NO at flue gas outlet x The concentration acquisition time point is a time point corresponding to the time point when the timing duration reaches the preset duration after starting timing from the target ammonia spraying time point;
according to the inlet real-time data, the target ammonia injection flow, the target ammonia injection pipeline pressure and the candidate NO x Concentration, obtaining denitration efficiency;
determination of candidate NO x Whether the concentration is within a concentration threshold and whether the denitration efficiency is within an efficiency threshold;
if candidate NO x Modifying at least one coefficient of a flow weighting coefficient, a pressure weighting coefficient and a duration weighting coefficient when the concentration is not in a concentration threshold or the denitration efficiency is not in an efficiency threshold, taking the modified coefficient and the unmodified coefficient in the flow weighting coefficient, the pressure weighting coefficient and the duration weighting coefficient as a group of control data, and adding the group of control data to the historical ammonia injection control data, wherein the ammonia injection flow, the ammonia injection pipeline pressure and the ammonia injection delay duration correspond to the alternative flue gas historical data;
if NO x And taking the flow weighting coefficient, the pressure weighting coefficient and the duration weighting coefficient corresponding to the flue gas real-time data, the alternative flue gas historical data, the target ammonia injection flow, the target ammonia injection pipeline pressure and the target ammonia injection time delay duration as a group of control data, and adding the group of control data to the historical ammonia injection control data.
In order to evaluate the denitration effect according to the target ammonia injection flow, the target pipeline pressure and the target ammonia injection delay time, the application obtains candidate NO of the flue gas outlet after the preset time x Concentration, candidate NO x The concentration acquisition time point is a time point corresponding to the time point when the timing time reaches the preset time length from the target ammonia spraying time point, and the preset time length can be adjusted according to actual conditions. Similarly, the terminal equipment issues a control instruction to the DCS at the sampling time point to enable the outlet CEMS to collect NO x Concentration, and acquisition result is obtained through DCS.
According to the oxygen concentration and NO of the flue gas in the inlet real-time data x Concentration and candidate NO remaining after reaction x The concentration and the ammonia amount can be combined to calculate the denitration efficiency, if NO x Judging that the ammonia injection effect is good when the concentration is within a concentration threshold value and the denitration efficiency is within an efficiency threshold value, and storing flow weighting coefficients, pressure weighting coefficients and duration weighting coefficients corresponding to the flue gas real-time data and the alternative flue gas historical data in a database as one of a group of control data, namely historical ammonia injection control data, wherein the target ammonia injection flow, target ammonia injection pipeline pressure and target ammonia injection delay duration are used as one of the group of control data; under other conditions, the ammonia spraying effect is judged as bad, at the moment, at least one weighting coefficient of the flow weighting coefficient, the pressure weighting coefficient and the time length weighting coefficient is modified according to preset logic, if the flow weighting coefficient is modified, the modified flow weighting coefficient is obtained, the modified flow weighting coefficient, the unmodified pressure weighting coefficient, the unmodified time length weighting coefficient, the history data of the alternative flue gas, the ammonia spraying flow, the ammonia spraying pipeline pressure and the ammonia spraying time delay time length corresponding to the history data of the alternative flue gas are stored in the history ammonia spraying control data, and the control data before the weighting coefficient is modified are deleted; if the flow weighting coefficient, the pressure weighting coefficient and the time length weighting coefficient are modified, the modified flow weighting coefficient, the pressure weighting coefficient and the time length weighting coefficient are obtained, and the modified flow weighting coefficient, the pressure weighting coefficient, the time length weighting coefficient, the alternative flue gas historical data, the ammonia spraying flow, the ammonia spraying pipeline pressure and the ammonia spraying time delay time length corresponding to the alternative flue gas historical data are stored in the historical ammonia spraying control data.
According to the embodiment of the application, the target ammonia spraying flow, the target ammonia spraying pipeline pressure and the target ammonia spraying time delay time are obtained by comparing the flue gas real-time data with the historical ammonia spraying control data, and then the target valve body is output, so that the target ammonia spraying flow and the target ammonia spraying pipeline pressure are output at the target ammonia spraying time point, for example, the target valve body is controlled to output the target ammonia spraying flow and the target ammonia spraying pipeline pressure at the time point of the target ammonia spraying time delay time interval after the acquisition time point of the flue gas real-time data, the delayed ammonia spraying control is realized, the influence of the hysteresis of flue gas flowing into the reactor on the accuracy of the ammonia spraying control is avoided, the ammonia spraying control is more reasonable, the ammonia spraying control quantity can be accurately determined by combining the flue gas real-time data with the analysis of the historical ammonia spraying control data, and the ammonia spraying flow and the ammonia spraying pipeline pressure can be more timely and accurately controlled.
Referring to fig. 3, a flow of an ammonia injection control method for flue gas denitration according to a second embodiment of the present application is shown, where the ammonia injection control method may be applied to a terminal device, and as shown in the figure, the ammonia injection control method may include the following steps:
step S301, acquiring the smoke real-time data and the time tag of the smoke real-time data.
Step S302, historical ammonia injection control data is obtained.
Step S303, judging whether the flue gas real-time data is valid.
If the real-time data of the flue gas is valid, executing step S304; and if the real-time data of the flue gas are invalid, outputting alarm information.
Optionally, judging whether the flue gas real-time data is valid or not includes:
acquiring at least one set of parameter ranges;
judging whether the flue gas real-time data is in a group of parameter ranges in at least a group of parameter ranges;
if the smoke real-time data is in a group of parameter ranges in at least one group of parameter ranges, determining that the smoke real-time data is valid;
and if the smoke real-time data is not in a group of parameter ranges in at least one group of parameter ranges, determining that the smoke real-time data is invalid.
Wherein, a set of parameter ranges may refer to [ data type 1 range (x 1-x 2), data type 2 range (y 1-y 2), data type 3 range (z 1-z 2), … ], wherein data type 1 and data type 2 are data types of ingress real-time data, data type 3 is a type of egress real-time data, for example, data type 1 of ingress real-time data is x, data type 2 is y, data type 3 of egress real-time data is z, and only when x1< x2, y1< y < y2, and z1< z2, the flue gas real-time data is valid, and other cases are invalid, which are not described herein.
Optionally, judging whether the flue gas real-time data is valid or not, further includes:
acquiring the working state of target equipment;
judging whether the working state of the target equipment is normal or not;
accordingly, if the smoke real-time data is within a set of parameter ranges of the at least one set of parameter ranges, determining that the smoke real-time data is valid includes:
if the working state of the target equipment is normal and the smoke real-time data is in a group of parameter ranges in at least a group of parameter ranges, determining that the smoke real-time data is valid;
and if the working state of the target equipment is abnormal, determining that the real-time fume data is invalid.
The target device may refer to a field instrument device or the like, for example, a pressure gauge on a pipeline, the working state of the field instrument device is monitored through the monitoring device, the terminal device acquires the working state of the field instrument device through interaction with the monitoring device, and if the DCS is connected with the monitoring device, the terminal device can acquire the working state of the target device through issuing an instruction to the DCS and feeding back information from the DCS.
If the working state of the field instrument equipment is abnormal, the collected smoke real-time data can be determined to be invalid; if the working state of the field instrument is normal and the smoke real-time data is in a group of parameter ranges in at least one group of parameter ranges, the smoke real-time data is determined to be effective.
And step S304, if the real-time flue gas data are valid, acquiring a target ammonia spraying flow, a target ammonia spraying pipeline pressure and a target ammonia spraying delay time length according to the real-time flue gas data and the historical ammonia spraying control data.
Step S305, obtaining a target ammonia spraying time point according to the time tag and the target ammonia spraying time delay time length.
And step S306, the target ammonia injection time point, the target ammonia injection flow and the target ammonia injection pipeline pressure are sent to a target valve body.
The contents of step S301 and step S302 are the same as those of step S101 and step S102 in the first embodiment, and the contents of step S304-step S306 are the same as those of step S103-step S105 in the first embodiment, and details of the steps are referred to in the steps S101-step S105, and are not repeated here.
According to the embodiment of the application, through analysis and detection of the real-time data of the flue gas, the real-time data of the flue gas which cannot reflect the real working condition is removed, so that the influence of the invalidation of the real-time data of the flue gas on the subsequent treatment can be avoided, the control precision of ammonia injection can be improved, the invalid data is prevented from flowing into a database, and the influence on the historical data sample of the flue gas is avoided.
Referring to fig. 4, a block diagram of an ammonia injection control device for flue gas denitration according to a third embodiment of the present application is provided, and for convenience of explanation, only a portion related to the embodiment of the present application is shown.
The ammonia injection control device comprises:
the real-time data acquisition module 41 is configured to acquire real-time data of flue gas and a time tag of the real-time data of the flue gas, where the real-time data of the flue gas includes inlet real-time data of the flue gas inlet, which is used to reflect flue gas characteristics of the flue gas inlet, and outlet real-time data of the flue gas outlet, which is used to reflect flue gas characteristics of the flue gas outlet;
a control data acquisition module 42 for acquiring historical ammonia injection control data;
the data acquisition module 43 is configured to acquire a target ammonia injection flow rate, a target ammonia injection pipeline pressure and a target ammonia injection delay time length according to the flue gas real-time data and the historical ammonia injection control data;
a time point obtaining module 44, configured to obtain a target ammonia spraying time point according to the time tag and the target ammonia spraying delay time length;
the data transmitting module 45 is configured to transmit a target ammonia injection time point, a target ammonia injection flow rate, and a target ammonia injection line pressure to the target valve body, where the target ammonia injection time point, the target ammonia injection flow rate, and the target ammonia injection line pressure are used to instruct the target valve body to inject ammonia.
Optionally, the historical ammonia injection control data comprises at least one group of control data, wherein the group of control data comprises flue gas historical data and ammonia injection flow, flow weighting coefficients, ammonia injection pipeline pressure, pressure weighting coefficients, ammonia injection delay time length and time length weighting coefficients corresponding to the flue gas historical data; the data acquisition module 43 is specifically configured to:
Detecting whether the smoke history data which is the same as the smoke real-time data exists in at least one group of control data;
if the smoke historical data which is the same as the smoke real-time data exist, determining the smoke historical data which is the same as the smoke real-time data as target smoke historical data, determining the ammonia spraying flow corresponding to the target smoke historical data as target ammonia spraying flow, wherein the ammonia spraying pipeline pressure corresponding to the target smoke historical data is target ammonia spraying pipeline pressure, and the ammonia spraying delay time corresponding to the target smoke historical data is target ammonia spraying delay time;
if the flue gas historical data which is the same as the flue gas real-time data does not exist, acquiring the similarity between the flue gas historical data in at least one group of control data and the flue gas real-time data respectively;
detecting whether at least one group of control data has smoke history data with similarity exceeding a similarity threshold value with the smoke real-time data;
if the smoke history data with the similarity exceeding the similarity threshold value exists, determining the smoke history data with the similarity exceeding the similarity threshold value as alternative smoke history data, and acquiring a difference value of the alternative smoke history data and the smoke real-time data;
Obtaining a flow weighting value according to the flow weighting coefficient corresponding to the difference value and the alternative flue gas historical data; acquiring a pressure weighted value according to the pressure weighted coefficient corresponding to the difference value and the alternative flue gas historical data; acquiring a time length weighting value according to the time length weighting coefficient corresponding to the difference value and the candidate smoke history data;
correcting the ammonia spraying flow corresponding to the alternative flue gas historical data according to the flow weighted value to obtain a target ammonia spraying flow; correcting the ammonia spraying pipeline pressure corresponding to the alternative flue gas historical data according to the pressure weighted value to obtain target ammonia spraying pipeline pressure; and correcting the ammonia spraying time delay time length corresponding to the candidate flue gas historical data according to the time length weighted value to obtain the target ammonia spraying time delay time length.
Optionally, the ammonia injection control device further includes:
a concentration acquisition module for acquiring candidate NO of the flue gas outlet x Concentration, candidate NO at flue gas outlet x The concentration acquisition time point is a time point corresponding to the time point when the timing duration reaches the preset duration after starting timing from the target ammonia spraying time point;
the denitration efficiency acquisition module is used for acquiring real-time data of an inlet, target ammonia injection flow, target ammonia injection pipeline pressure and candidate NO x Concentration, obtaining denitration efficiency;
An effect judging module for judging candidate NO x Whether the concentration is within a concentration threshold and whether the denitration efficiency is within an efficiency threshold;
a modification control module for, if the candidate NO x Modifying at least one coefficient of a flow weighting coefficient, a pressure weighting coefficient and a duration weighting coefficient when the concentration is not in a concentration threshold or the denitration efficiency is not in an efficiency threshold, taking the modified coefficient and the unmodified coefficient in the flow weighting coefficient, the pressure weighting coefficient and the duration weighting coefficient as a group of control data, and adding the group of control data to the historical ammonia injection control data, wherein the ammonia injection flow, the ammonia injection pipeline pressure and the ammonia injection delay duration correspond to the alternative flue gas historical data;
adding a control module for providing NO x And taking the flow weighting coefficient, the pressure weighting coefficient and the duration weighting coefficient corresponding to the flue gas real-time data, the alternative flue gas historical data, the target ammonia injection flow, the target ammonia injection pipeline pressure and the target ammonia injection time delay duration as a group of control data, and adding the group of control data to the historical ammonia injection control data.
Optionally, the ammonia injection control device further includes:
The data validity judging module is used for judging whether the real-time data of the smoke are valid or not;
accordingly, the data acquisition module 43 is specifically configured to:
and if the real-time data of the flue gas is effective, acquiring the target ammonia spraying flow, the target ammonia spraying pipeline pressure and the target ammonia spraying time delay time according to the real-time data of the flue gas and the historical ammonia spraying control data.
Optionally, the data validity judging module includes:
a parameter range obtaining unit for obtaining at least one group of parameter ranges;
the parameter comparison judging unit is used for judging whether the flue gas real-time data is in a group of parameter ranges in at least one group of parameter ranges;
the data effective determining unit is used for determining that the flue gas real-time data is effective if the flue gas real-time data is in a group of parameter ranges in at least one group of parameter ranges;
and the first inefficiency determining unit is used for determining that the smoke real-time data is invalid if the smoke real-time data is not in one of the at least one group of parameter ranges.
Optionally, the data validity judging module further includes:
the working state acquisition unit is used for acquiring the working state of the target equipment;
the working state judging unit is used for judging whether the working state of the target equipment is normal or not;
The second invalidation determining unit is used for determining that the smoke real-time data is invalid if the working state of the target equipment is abnormal;
accordingly, the data validity determining unit is specifically configured to:
if the working state of the target equipment is normal and the smoke real-time data is in a group of parameter ranges in at least one group of parameter ranges, the smoke real-time data is determined to be effective.
It should be noted that, because the content of information interaction and execution process between the modules is based on the same concept as the method embodiment of the present application, specific functions and technical effects thereof may be referred to in the method embodiment two parts, and will not be described herein.
Fig. 5 is a schematic structural diagram of a terminal device according to a fourth embodiment of the present application. As shown in fig. 5, the terminal device 5 of this embodiment includes: at least one processor 50 (only one is shown in fig. 5), a memory 51 and a computer program 52 stored in the memory 51 and executable on the at least one processor 50, the steps of the ammonia injection control method for flue gas denitrification of the above-described second embodiment being implemented when the processor 50 executes the computer program 52.
The terminal device 5 may be a computing device such as a desktop computer, a notebook computer, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor 50, a memory 51. It will be appreciated by those skilled in the art that fig. 5 is merely an example of the terminal device 5 and is not meant to be limiting as the terminal device 5, and may include more or fewer components than shown, or may combine certain components, or different components, such as may also include input-output devices, network access devices, etc.
The processor 50 may be a central processing unit (Central Processing Unit, CPU), the processor 50 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 51 may in some embodiments be an internal storage unit of the terminal device 5, such as a hard disk or a memory of the terminal device 5. The memory 51 may in other embodiments also be an external storage device of the terminal device 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the terminal device 5. Further, the memory 51 may also include both an internal storage unit and an external storage device of the terminal device 5. The memory 51 is used for storing an operating system, application programs, boot loader (BootLoader), data, other programs, etc., such as program codes of the computer program. The memory 51 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above device may refer to the corresponding process in the foregoing method embodiment, which is not described herein again. The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiments, and may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include at least: any entity or device capable of carrying the computer program code, a recording medium, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a U-disk, removable hard disk, magnetic or optical disk, etc. In some jurisdictions, computer readable media may not be electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The present application may also be implemented by a computer program product, which when run on a terminal device causes the terminal device to perform the steps of the first method embodiment, or when run on a terminal device causes the terminal device to perform the steps of the second method embodiment.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/terminal device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (9)
1. An ammonia spraying control method for flue gas denitration is characterized by comprising the following steps:
acquiring the real-time data of the flue gas and a time tag of the real-time data of the flue gas, wherein the real-time data of the flue gas comprises inlet real-time data of a flue gas inlet and outlet real-time data of a flue gas outlet, the inlet real-time data is used for reflecting the flue gas characteristics of the flue gas inlet, and the outlet real-time data is used for reflecting the flue gas characteristics of the flue gas outlet;
acquiring historical ammonia injection control data, wherein the historical ammonia injection control data comprises at least one group of control data, and the group of control data comprises flue gas historical data, and ammonia injection flow, flow weighting coefficients, ammonia injection pipeline pressure, pressure weighting coefficients, ammonia injection delay time length and time length weighting coefficients corresponding to the flue gas historical data;
detecting whether the at least one group of control data has smoke history data which are the same as the smoke real-time data;
if the smoke history data which are the same as the smoke real-time data exist, determining the smoke history data which are the same as the smoke real-time data as target smoke history data, determining the ammonia spraying flow corresponding to the target smoke history data as the target ammonia spraying flow, determining the ammonia spraying pipeline pressure corresponding to the target smoke history data as the target ammonia spraying pipeline pressure, and determining the ammonia spraying time delay time length corresponding to the target smoke history data as the target ammonia spraying time delay time length;
If the flue gas history data which are the same as the flue gas real-time data do not exist, acquiring the similarity between the flue gas history data in the at least one group of control data and the flue gas real-time data respectively;
detecting whether flue gas historical data with similarity exceeding a similarity threshold value with the flue gas real-time data exists in the at least one group of control data;
if the smoke history data with the similarity exceeding the similarity threshold value exists, determining the smoke history data with the similarity exceeding the similarity threshold value as candidate smoke history data, and acquiring a difference value of the candidate smoke history data and the smoke real-time data;
acquiring a flow weighting value according to the difference value and a flow weighting coefficient corresponding to the alternative flue gas historical data; acquiring a pressure weighted value according to the difference value and a pressure weighted coefficient corresponding to the candidate flue gas historical data; acquiring a time length weighting value according to the difference value and a time length weighting coefficient corresponding to the candidate smoke history data;
correcting the ammonia spraying flow corresponding to the alternative flue gas historical data according to the flow weighted value to obtain the target ammonia spraying flow; correcting the ammonia injection pipeline pressure corresponding to the alternative flue gas historical data according to the pressure weighted value to obtain the target ammonia injection pipeline pressure; correcting the ammonia spraying time delay time length corresponding to the alternative flue gas historical data according to the time length weighted value to obtain the target ammonia spraying time delay time length;
Acquiring a target ammonia spraying time point according to the time tag and the target ammonia spraying delay time length;
and sending the target ammonia injection time point, the target ammonia injection flow and the target ammonia injection pipeline pressure to a target valve body, wherein the target ammonia injection time point, the target ammonia injection flow and the target ammonia injection pipeline pressure are used for indicating the target valve body to inject ammonia.
2. The ammonia injection control method according to claim 1, characterized by further comprising, after said sending the target ammonia injection time point, the target ammonia injection flow rate, and the target ammonia injection line pressure to a target valve body:
obtaining candidate NO of flue gas outlet x Concentration of candidate NO of the flue gas outlet x The concentration acquisition time point is a time point corresponding to the time point when the timing duration reaches the preset duration after starting timing from the target ammonia spraying time point;
according to the inlet real-time data, the target ammonia injection flow, the target ammonia injection pipeline pressure and the candidate NO x Concentration, obtaining denitration efficiency;
judging the candidate NO x Whether the concentration is within a concentration threshold and whether the denitration efficiency is within an efficiency threshold;
if the candidate NO x Modifying at least one coefficient of the flow weighting coefficient, the pressure weighting coefficient and the duration weighting coefficient when the concentration is not within the concentration threshold or the denitration efficiency is not within the efficiency threshold, and taking the ammonia injection flow, the ammonia injection pipeline pressure and the ammonia injection time delay duration corresponding to the candidate flue gas history data, the modified coefficient and the unmodified coefficient in the flow weighting coefficient, the pressure weighting coefficient and the duration weighting coefficient as a group of control data, and adding the group of control data to the historical ammonia injection control data;
If the NO is x The concentration is within the concentration threshold value, the denitration efficiency is within the efficiency threshold value, and the flow weighting coefficient, the pressure weighting coefficient and the duration corresponding to the flue gas real-time data and the alternative flue gas historical data are addedThe weight coefficient, the target ammonia injection flow rate, the target ammonia injection pipeline pressure and the target ammonia injection delay time length are used as a set of control data, and the set of control data is added to the historical ammonia injection control data.
3. The ammonia injection control method according to claim 1, wherein before the target ammonia injection flow rate, the target ammonia injection line pressure and the target ammonia injection delay time length are obtained according to the flue gas real-time data and the historical ammonia injection control data, further comprising:
judging whether the flue gas real-time data is valid or not;
correspondingly, the obtaining the target ammonia spraying flow, the target ammonia spraying pipeline pressure and the target ammonia spraying time delay time length according to the flue gas real-time data and the historical ammonia spraying control data comprises the following steps:
and if the flue gas real-time data are valid, acquiring the target ammonia spraying flow, the target ammonia spraying pipeline pressure and the target ammonia spraying delay time according to the flue gas real-time data and the historical ammonia spraying control data.
4. The ammonia injection control method according to claim 3, wherein the determining whether the flue gas real-time data is valid comprises:
acquiring at least one set of parameter ranges;
judging whether the flue gas real-time data is in a group of parameter ranges in the at least one group of parameter ranges;
if the flue gas real-time data is in a group of parameter ranges in the at least one group of parameter ranges, determining that the flue gas real-time data is valid;
and if the flue gas real-time data is not in a group of parameter ranges in the at least one group of parameter ranges, determining that the flue gas real-time data is invalid.
5. The ammonia injection control method according to claim 4, wherein the determining whether the flue gas real-time data is valid further comprises:
acquiring the working state of target equipment;
judging whether the working state of the target equipment is normal or not;
if the working state of the target equipment is abnormal, determining that the smoke real-time data is invalid;
correspondingly, if the flue gas real-time data is within a set of parameter ranges in the at least one set of parameter ranges, determining that the flue gas real-time data is valid includes:
and if the working state of the target equipment is normal and the smoke real-time data is in a group of parameter ranges in the at least one group of parameter ranges, determining that the smoke real-time data is valid.
6. An ammonia injection control device for flue gas denitration, which is characterized by comprising:
the system comprises a real-time data acquisition module, a real-time data acquisition module and a real-time data processing module, wherein the real-time data acquisition module is used for acquiring real-time data of smoke and a time tag of the real-time data of the smoke, the real-time data of the smoke comprise inlet real-time data of a smoke inlet and outlet real-time data of a smoke outlet, the inlet real-time data are used for reflecting the smoke characteristics of the smoke inlet, and the outlet real-time data are used for reflecting the smoke characteristics of the smoke outlet;
the control data acquisition module is used for acquiring historical ammonia injection control data, wherein the historical ammonia injection control data comprises at least one group of control data, and the group of control data comprises flue gas historical data and ammonia injection flow, flow weighting coefficients, ammonia injection pipeline pressure, pressure weighting coefficients, ammonia injection delay time length and time length weighting coefficients corresponding to the flue gas historical data;
the data acquisition module is used for acquiring target ammonia spraying flow, target ammonia spraying pipeline pressure and target ammonia spraying time delay time length according to the flue gas real-time data and the historical ammonia spraying control data;
the time point acquisition module is used for acquiring a target ammonia injection time point according to the time tag and the target ammonia injection delay time length;
The data sending module is used for sending the target ammonia injection time point, the target ammonia injection flow and the target ammonia injection pipeline pressure to a target valve body, wherein the target ammonia injection time point, the target ammonia injection flow and the target ammonia injection pipeline pressure are used for indicating the target valve body to inject ammonia;
the data acquisition module is specifically used for: detecting whether the at least one group of control data has smoke history data which are the same as the smoke real-time data;
if the smoke history data which are the same as the smoke real-time data exist, determining the smoke history data which are the same as the smoke real-time data as target smoke history data, determining the ammonia spraying flow corresponding to the target smoke history data as the target ammonia spraying flow, determining the ammonia spraying pipeline pressure corresponding to the target smoke history data as the target ammonia spraying pipeline pressure, and determining the ammonia spraying time delay time length corresponding to the target smoke history data as the target ammonia spraying time delay time length;
if the flue gas history data which are the same as the flue gas real-time data do not exist, acquiring the similarity between the flue gas history data in the at least one group of control data and the flue gas real-time data respectively;
detecting whether flue gas historical data with similarity exceeding a similarity threshold value with the flue gas real-time data exists in the at least one group of control data;
If the smoke history data with the similarity exceeding the similarity threshold value exists, determining the smoke history data with the similarity exceeding the similarity threshold value as candidate smoke history data, and acquiring a difference value of the candidate smoke history data and the smoke real-time data;
acquiring a flow weighting value according to the difference value and a flow weighting coefficient corresponding to the alternative flue gas historical data; acquiring a pressure weighted value according to the difference value and a pressure weighted coefficient corresponding to the candidate flue gas historical data; acquiring a time length weighting value according to the difference value and a time length weighting coefficient corresponding to the candidate smoke history data;
correcting the ammonia spraying flow corresponding to the alternative flue gas historical data according to the flow weighted value to obtain the target ammonia spraying flow; correcting the ammonia injection pipeline pressure corresponding to the alternative flue gas historical data according to the pressure weighted value to obtain the target ammonia injection pipeline pressure; and correcting the ammonia spraying delay time length corresponding to the alternative flue gas historical data according to the time length weighted value to obtain the target ammonia spraying delay time length.
7. The ammonia injection control device according to claim 6, characterized in that the ammonia injection control device further comprises:
the data validity judging module is used for judging whether the real-time data of the smoke are valid or not;
correspondingly, the data acquisition module is used for acquiring the target ammonia spraying flow, the target ammonia spraying pipeline pressure and the target ammonia spraying time delay time according to the real-time flue gas data and the historical ammonia spraying control data if the real-time flue gas data are valid.
8. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the ammonia injection control method of flue gas denitrification according to any one of claims 1 to 5 when executing the computer program.
9. A computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the ammonia injection control method of flue gas denitration according to any one of claims 1 to 5.
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| CN113750793A (en) | 2021-12-07 |
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