Description of the embodiments
The embodiment of the application provides a low-energy consumption control method and a system for incineration flue gas treatment, which solve the technical problem of high energy consumption of the incineration flue gas treatment, realize the identification of sub-equipment with abnormal energy consumption, and utilize the connection relation of all the sub-equipment to perform centralized control on the abnormal energy consumption, ensure the consistency of the equipment regulation direction and the abnormal energy consumption, and reduce the technical effect of the energy consumption of the incineration flue gas treatment.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Examples
As shown in fig. 1, an embodiment of the present application provides a low-energy consumption control method for treating incineration flue gas, where the method is applied to a flue gas incineration control system, and the system is in communication connection with a flue gas treatment integrated device, and the method includes:
s10: acquiring information of each piece of sub-equipment in the flue gas treatment integrated device;
s20: establishing a data monitoring block based on the information of each piece of equipment, wherein the data monitoring block comprises a plurality of sub-blocks, each sub-block corresponds to one piece of equipment and is used for storing a monitoring data set of the corresponding equipment;
specifically, the flue gas incineration control system is in communication connection with the flue gas treatment integrated device, the communication connection is simply through signal transmission interaction, a communication network is formed between the flue gas incineration control system and the flue gas treatment integrated device, and hardware support is provided for low-energy consumption control;
the information of each piece of equipment in the flue gas treatment integrated device can be incinerator, semi-dry neutralization reaction tower, lime digestion system and bag dust collector (the flue gas passes through a filter bag, granular pollutants are attached to a filter layer, and the granular pollutants attached to the filter bag are removed in a vibration, airflow recoil or pulse flushing mode at regular time), an activated carbon quantitative device, a chimney and an induced draft fan, so that the information of each piece of equipment in the flue gas treatment integrated device is obtained, and data support is provided for subsequent analysis;
based on the information of each piece of equipment, a data monitoring block is established, wherein the data monitoring block comprises a plurality of sub-blocks, the plurality of sub-blocks comprise, but are not limited to, an incinerator block, a semi-dry neutralization reaction tower sub-block, a lime digestion system sub-block and a bag dust remover sub-block, each sub-block corresponds to one sub-equipment (the sub-blocks correspond to the sub-equipment: the incinerator block, the semi-dry neutralization reaction tower corresponds to the semi-dry neutralization reaction tower sub-block, the lime digestion system corresponds to the lime digestion system sub-block and the bag dust remover corresponds to the bag dust remover sub-block), and the plurality of sub-blocks are used for storing a monitoring data set of the corresponding equipment, generally: the monitoring data of the incinerator can be hearth temperature and combustion ration, and the hearth temperature monitoring data packet and the combustion ration monitoring data packet are stored in an incinerator block; the monitoring data of the semi-dry neutralization reaction tower can be the ration of the neutralizing additive and the ration of the catalyst, and the monitoring data packet of the ration of the neutralizing additive and the monitoring data packet of the ration of the catalyst are stored in the sub-blocks of the semi-dry neutralization reaction tower to provide a data basis for the subsequent analysis.
S30: connecting the data monitoring blocks according to the connection relation of the sub-devices to generate a data monitoring block structure;
s40: performing energy consumption monitoring on the process flow of the flue gas treatment integrated device, obtaining an energy consumption monitoring data set, and correspondingly storing the energy consumption monitoring data set into the data monitoring block structure;
specifically, according to the connection relation (connection relation: the first end of the semi-dry neutralization reaction tower is connected with the incinerator, the second end of the semi-dry neutralization reaction tower is connected with the lime digestion system, the third end of the semi-dry neutralization reaction tower is connected with the activated carbon quantifying device, the fourth end of the semi-dry neutralization reaction tower is connected with the first end of the bag dust collector, the fifth end of the semi-dry neutralization reaction tower is connected with the slag processing port, the second end of the bag dust collector is connected with the fly ash processing port, the third end of the bag dust collector is connected with the first end of the induced draft fan and the second end of the induced fan), the plurality of sub-blocks of the data monitoring block are connected according to the connection mode of the net (or topology layer), and a data monitoring block structure is generated to provide support for subsequent analysis;
and carrying out energy consumption monitoring on the process flow of the flue gas treatment integrated device (the equipment operation voltage and the equipment operation power are both in the prior art) to obtain an energy consumption monitoring data set, wherein the energy consumption monitoring data comprises but is not limited to the equipment operation voltage and the equipment operation power, the energy consumption monitoring data set is correspondingly stored into the data monitoring block structure according to each piece of equipment in the flue gas treatment integrated device (generally, the incinerator operation voltage and the incinerator operation power are stored into an incinerator block, and the bag-type dust remover operation voltage and the bag-type dust remover operation power are stored into a bag-type dust remover sub-block) so as to provide data support for realizing low energy consumption control.
S50: inputting the energy consumption monitoring data set into an energy consumption abnormality positioning analysis model, and outputting an identification monitoring block, wherein the energy consumption abnormality positioning analysis module is structurally connected with the data monitoring block;
as shown in fig. 2, step S50 includes the steps of:
s51: building the energy consumption abnormality positioning analysis model, wherein the energy consumption abnormality positioning analysis model comprises an energy consumption identification layer, an abnormality positioning layer and an adjacent association layer;
s52: based on the energy consumption identification layer, carrying out energy consumption abnormality identification on the energy consumption monitoring data set, and outputting an energy consumption identification result;
s53: based on the energy consumption identification result, acquiring an abnormality monitoring block for identifying energy consumption abnormality by the abnormality positioning layer;
s54: performing adjacent block positioning on the abnormal monitoring block according to the adjacent correlation layer, and outputting an adjacent monitoring block;
s55: and outputting the abnormal monitoring block and the adjacent monitoring block as identification monitoring blocks.
Specifically, the energy consumption monitoring data set is used as input data, the input data is input into an energy consumption abnormality positioning analysis model, an identification monitoring block is output, and the energy consumption abnormality positioning analysis module is structurally connected with the data monitoring block, so that technical support is provided for real-time energy consumption control;
the energy consumption abnormality positioning analysis model is built, wherein the energy consumption abnormality positioning analysis model comprises an energy consumption identification layer (an equipment rated voltage and an equipment rated power are obtained from an equipment nameplate, the equipment rated voltage and the equipment rated power are used as constraint information and are compared with equipment operating voltage and equipment operating power to identify whether energy consumption waste exists or not), an abnormality positioning layer (a function layer for positioning the energy consumption abnormality) and an adjacent association layer (the connection relation of each sub-equipment in the flue gas treatment integrated device is used for determining the adjacent association function layer);
the energy consumption monitoring data set is used as input data, the input data is used as an energy consumption identification layer in an energy consumption abnormality positioning analysis model, the energy consumption abnormality identification is carried out on the energy consumption monitoring data set (the energy consumption abnormality identification is carried out, namely, the rated voltage of the incinerator and the rated power of the incinerator are used as constraint information, the energy consumption abnormality identification is compared with the rated voltage of the incinerator and the rated power of the incinerator, if the rated voltage of the incinerator is greater than the rated voltage of the incinerator and/or the rated power of the incinerator is greater than the rated power of the incinerator, the energy consumption waste is judged, the operating voltage of the incinerator is less than the rated voltage of the incinerator and the operating power of the incinerator is less than or equal to the rated power of the incinerator, the operation of the incinerator is judged to be normal), and the energy consumption identification result is output, and the energy consumption identification result can be that the energy consumption waste exists or the operation is normal;
based on the energy consumption identification result, if the energy consumption identification result is that energy consumption waste exists, acquiring an abnormal monitoring block (namely an incinerator block if the incinerator is judged to have energy consumption waste) for identifying energy consumption abnormality by the abnormal positioning layer; based on the connection relation of all the sub-equipment in the flue gas treatment integrated device, the abnormal monitoring blocks are positioned according to the adjacent association layers, and the adjacent monitoring blocks are output (the first end of the semi-dry neutralization reaction tower is connected with the incinerator, that is, the adjacent monitoring blocks are semi-dry neutralization reaction tower sub-blocks, generally, if the equipment operation energy consumption is abnormal, the abnormal monitoring blocks are often associated with the equipment operation at the adjacent positions due to the integrity of the flue gas treatment integrated device); and outputting the abnormal monitoring block and the adjacent monitoring block as identification monitoring blocks, and providing support for parameter control adjustment of energy consumption abnormal equipment.
Step S52 further includes the steps of:
s521: acquiring energy consumption composition distribution information according to the energy consumption monitoring data set;
s522: carrying out energy consumption intensity analysis on each energy consumption component by using the energy consumption component distribution information to obtain a first energy consumption identification result;
s523: analyzing the total energy consumption of each energy consumption component according to the energy consumption component distribution information to obtain a second energy consumption identification result;
s524: and carrying out anomaly identification based on the first energy consumption identification result and the second energy consumption identification result.
Specifically, according to the energy consumption monitoring data set, energy consumption composition distribution information (the energy consumption composition distribution includes, but is not limited to, mechanical energy of equipment operation and internal energy of equipment operation heating, and the energy consumption composition distribution information also includes the duty ratio of various forms of energy); analyzing the energy consumption intensity (the energy consumption intensity is an instantaneous value, such as the comparison of the incinerator rated voltage and the incinerator instantaneous voltage) of each energy consumption component by using the energy consumption component distribution information to obtain a first energy consumption identification result, wherein the first energy consumption identification result can be that energy consumption waste exists (the energy consumption waste exists: the incinerator instantaneous voltage is greater than the incinerator rated voltage) or the operation is normal (the operation is normal: the incinerator instantaneous voltage is less than or equal to the incinerator rated voltage);
analyzing the total energy consumption (the total energy consumption is an accumulated value, such as comparing the rated voltage of the incinerator with the rated voltage of the incinerator) of each energy consumption component by using the energy consumption component distribution information to obtain a second energy consumption identification result, wherein the second energy consumption identification result can be that energy consumption waste exists (the energy consumption waste exists that the rated voltage of the incinerator is greater than the rated voltage of the incinerator) or normal operation (the operation is normal that the rated voltage of the incinerator is less than or equal to the rated voltage of the incinerator); based on the first energy consumption identification result and the second energy consumption identification result, the running state of the equipment is subjected to abnormal identification in real time, and the energy consumption waste in other forms is identified with high precision from two aspects of instantaneous values and accumulated values, so that technical support is provided for timely low-energy consumption regulation.
As shown in fig. 3, the embodiment of the present application further includes:
s525: carrying out working condition test on the flue gas treatment integrated device to obtain energy consumption data sets under a plurality of working conditions;
s526: configuring energy consumption abnormal parameter groups under a plurality of working conditions based on the energy consumption data sets under the plurality of working conditions, wherein each group of parameters comprises preset energy consumption intensity and preset total energy consumption;
s527: and inputting the energy consumption abnormal parameter set into the energy consumption identification layer for identifying abnormal energy consumption.
Specifically, abnormal energy consumption identification is performed according to the overall working condition of the flue gas treatment integrated device, and the method comprises the following steps: carrying out working condition test on each piece of sub equipment in the flue gas treatment integrated device, and collecting energy consumption data under a plurality of working conditions (generally, the plurality of working conditions can comprise an economic working condition, a standby working condition, an operating working condition and an overload working condition, wherein the economic working condition is an operating state when the energy consumption rate is the lowest;
configuring energy consumption abnormality parameter sets (energy consumption abnormality identification is performed under a plurality of working conditions respectively, in general, the rated voltage of the equipment and the rated power of the equipment are both in an operation working condition, the energy consumption abnormality parameter sets comprise energy consumption abnormality parameters in an economic working condition, energy consumption abnormality parameters in a standby working condition, energy consumption abnormality parameters in an operation working condition and energy consumption abnormality parameters in an overload working condition) under the plurality of working conditions, and each set of parameters comprises preset energy consumption intensity and preset total energy consumption; the energy consumption abnormal parameter set is input into the energy consumption identification layer, and is used as constraint information to identify abnormal energy consumption, so that accurate identification of energy consumption abnormality can be realized under various working conditions, and universality of energy consumption abnormality is maintained.
The embodiment of the application also comprises the following steps:
s528: comparing the first energy consumption identification result with the preset energy consumption intensity, and outputting a first identification result;
s529: comparing the second energy consumption identification result with the preset total energy consumption amount, and outputting a second identification result;
S52A: generating identification information based on the first identification result and the second identification result;
S52B: and marking the data monitoring block structure by using the marking information to obtain the marking monitoring block.
Specifically, judging whether the energy consumption intensity of each piece of sub-equipment exceeds a preset value, comparing the first energy consumption identification result with the preset energy consumption intensity, and outputting a first identification result, wherein the first identification result is that the energy consumption intensity of each piece of sub-equipment in the flue gas treatment integrated device is abnormal/the energy consumption intensity is normal; judging whether the total energy consumption of each piece of sub-equipment exceeds a preset value, comparing the second energy consumption identification result with the preset total energy consumption, and outputting a second identification result, wherein the second identification result is that the total energy consumption of each piece of sub-equipment in the flue gas treatment integrated device is abnormal/the total energy consumption is normal;
the first identification result and the second identification result are used as identification content, and identification information is generated; and marking the data monitoring block structure by using the marking information (grading marking can be used, the abnormal monitoring block can be red, and the adjacent monitoring block is green), so that the marking monitoring block is obtained, and support is provided for quick positioning of abnormal energy consumption.
Step S54 includes the steps of:
s541: acquiring abnormal sub-equipment of the abnormal monitoring block;
s542: based on the data monitoring block structure, analyzing the influence degree between each piece of sub-equipment and the abnormal sub-equipment to obtain a plurality of energy consumption influence coefficients;
s543: acquiring adjacent sub-equipment with energy consumption influence more than a preset energy consumption influence in the energy consumption influence coefficients;
s544: and outputting the adjacent monitoring blocks according to the adjacent sub-equipment.
Specifically, after the identification result is identified, the abnormal energy consumption is rapidly positioned, and abnormal sub-equipment of the abnormal monitoring block is obtained; based on the data monitoring block structure, analyzing influence degrees between each piece of sub equipment and the abnormal sub equipment (verified that if the bagged dust collector is the abnormal sub equipment, the influence degree of the operation abnormality of the bagged dust collector caused by the congestion of the fly ash processing port is 0.5, and if the dredging treatment is not performed in time due to the congestion of the fly ash processing port, the influence degree of the operation abnormality of the bagged dust collector caused by the congestion of the fly ash processing port is continuously increased along with the time, so as to obtain a plurality of energy consumption influence coefficients, wherein each piece of sub equipment limited by the adjacent monitoring block corresponds to the plurality of energy consumption influence coefficients one by one;
judging whether a plurality of energy consumption influence coefficients of each piece of sub-equipment limited by the adjacent monitoring block are larger than a preset energy consumption influence, and acquiring adjacent sub-equipment, of which the energy consumption influence coefficients are larger than the preset energy consumption influence (the preset energy consumption influence is a preset parameter index, and generally, the preset energy consumption influence can be set to be 0.3); and according to the adjacent sub-equipment, the energy consumption influence coefficients of the sub-equipment limited by the adjacent monitoring block are smaller than or equal to neglect of the preset energy consumption influence, outputting the sub-equipment with the energy consumption influence coefficients of the sub-equipment limited by the adjacent monitoring block larger than the preset energy consumption influence, performing correlation analysis on the abnormal monitoring block and the adjacent monitoring block, and providing support for adaptive accurate regulation and control on the sub-equipment of the adjacent monitoring block.
S60: and monitoring the block by the identifier, and generating a control parameter set to control the corresponding sub-equipment.
Step S60 includes the steps of:
s61: based on the identification monitoring block, acquiring a controllable index set of the abnormal monitoring block and a controllable index set of the adjacent monitoring block;
s62: taking the controllable index set of the abnormal monitoring block as a first control variable set, taking the controllable index set of the adjacent monitoring block as a second control variable set, taking a preset energy consumption index as an adaptation target, and outputting a control parameter set;
s63: and controlling the abnormal monitoring block and the sub-equipment corresponding to the adjacent monitoring block according to the control parameter set.
Specifically, the monitoring block with the identifier generates a control parameter set to control a corresponding sub-device, including: the method comprises the steps of controlling and adjusting an abnormal monitoring block and an adjacent monitoring block with low energy consumption as targets, and acquiring a controllable index set of the abnormal monitoring block (controllable indexes of a semi-dry neutralization reaction tower: neutralization additive ration and catalyst ration if the monitoring block is a semi-dry neutralization reaction tower sub-block) and a controllable index set of the adjacent monitoring block (controllable index set of the adjacent monitoring block includes but is not limited to active carbon ration of an active carbon quantitative device, hearth temperature and combustion ration of an incinerator and lime milk ration of a lime digestion system if the monitoring block is a semi-dry neutralization reaction tower sub-block) based on the monitoring block;
and taking the controllable index set of the abnormal monitoring block as a first control variable set, taking the controllable index set of the adjacent monitoring block as a second control variable set, taking a preset energy consumption index (the preset energy consumption index is a preset parameter index) as an adaptation target (the preset energy consumption index is met, namely, the energy consumption constraint of low energy consumption control is met), outputting a control parameter set, namely, the controllable index set of the abnormal monitoring block and the controllable index set of the adjacent monitoring block which meet the preset energy consumption index, taking the controllable index set of the abnormal monitoring block and the controllable index set of the adjacent monitoring block which meet the preset energy consumption index as control parameters, and controlling the abnormal monitoring block and the sub-equipment corresponding to the adjacent monitoring block in the flue gas treatment integrated device to provide a reference for realizing the low energy consumption control of incineration flue gas treatment.
In summary, the low-energy consumption control method and system for treating incineration flue gas provided by the embodiment of the application have the following technical effects:
1. because the information of each piece of equipment in the flue gas treatment integrated device is acquired, a data monitoring block is established; connecting the data monitoring blocks according to the connection relation of the sub-devices to generate a data monitoring block structure; carrying out energy consumption monitoring on the process flow of the flue gas treatment integrated device, obtaining an energy consumption monitoring data set, and correspondingly storing the energy consumption monitoring data set into a data monitoring block structure; the application provides a low-energy consumption control method and a system for treating incineration flue gas, which realize the identification of sub-equipment with abnormal energy consumption, and the technical effects of centrally controlling the abnormal energy consumption by utilizing the connection relation of all the sub-equipment, ensuring the consistency of the equipment regulation direction and the abnormal energy consumption, and reducing the energy consumption of the incineration flue gas treatment.
2. The flue gas treatment integrated device is subjected to working condition test to obtain energy consumption data sets under a plurality of working conditions, and energy consumption abnormal parameter sets under the plurality of working conditions are configured; the energy consumption abnormal parameter set is input into the energy consumption identification layer to identify abnormal energy consumption, so that accurate identification of the energy consumption abnormality can be realized under various working conditions, and universality of the energy consumption abnormality is maintained.
Example two
Based on the same inventive concept as one of the low energy consumption control methods for incineration flue gas treatment in the foregoing embodiments, as shown in fig. 4, an embodiment of the present application provides a low energy consumption control system for incineration flue gas treatment, where the system includes:
the equipment information acquisition module 100 is used for acquiring information of each piece of equipment in the flue gas treatment integrated device;
a monitoring block establishing module 200, configured to establish a data monitoring block based on the information of each piece of equipment, where the data monitoring block includes a plurality of sub-blocks, each sub-block corresponds to one piece of equipment, and is configured to store a monitoring data set of the corresponding equipment;
the monitoring block connection module 300 is configured to connect the data monitoring blocks according to the connection relationship of the sub-devices, so as to generate a data monitoring block structure;
the energy consumption monitoring module 400 is configured to perform energy consumption monitoring on a process flow of the flue gas treatment integrated device, obtain an energy consumption monitoring dataset, and store the energy consumption monitoring dataset into the data monitoring block structure correspondingly;
the energy consumption abnormality positioning module 500 is configured to input the energy consumption monitoring dataset into an energy consumption abnormality positioning analysis model, and output an identification monitoring block, where the energy consumption abnormality positioning analysis module is structurally connected with the data monitoring block;
the sub-device control module 600 is configured to monitor the block with the identifier, and generate a control parameter set to control the corresponding sub-device.
Further, the system includes:
the energy consumption abnormal positioning analysis model building module is used for building the energy consumption abnormal positioning analysis model, wherein the energy consumption abnormal positioning analysis model comprises an energy consumption identification layer, an abnormal positioning layer and an adjacent association layer;
the energy consumption identification result output module is used for carrying out energy consumption abnormality identification on the energy consumption monitoring data set based on the energy consumption identification layer and outputting an energy consumption identification result;
the abnormal monitoring block obtaining module is used for obtaining an abnormal monitoring block for identifying abnormal energy consumption by the abnormal positioning layer based on the energy consumption identification result;
the adjacent monitoring block output module is used for carrying out adjacent block positioning on the abnormal monitoring block according to the adjacent correlation layer and outputting an adjacent monitoring block;
and the identification monitoring block output module is used for outputting the abnormal monitoring block and the adjacent monitoring block as identification monitoring blocks.
Further, the system includes:
the abnormal sub-equipment acquisition module is used for acquiring the abnormal sub-equipment of the abnormal monitoring block;
the influence degree analysis module is used for analyzing the influence degree between each piece of sub-equipment and the abnormal sub-equipment based on the data monitoring block structure to obtain a plurality of energy consumption influence coefficients;
the adjacent sub-equipment acquisition module is used for acquiring adjacent sub-equipment with the energy consumption influence coefficient larger than a preset energy consumption influence in the plurality of energy consumption influence coefficients;
and the module adjacent monitoring block output module is used for outputting the adjacent monitoring blocks according to the adjacent sub-equipment.
Further, the system includes:
the controllable index set acquisition module is used for acquiring the controllable index set of the abnormal monitoring block and the controllable index set of the adjacent monitoring block based on the identification monitoring block;
the control parameter set output module is used for taking the controllable index set of the abnormal monitoring block as a first control variable set, taking the controllable index set of the adjacent monitoring block as a second control variable set, taking a preset energy consumption index as an adaptation target, and outputting a control parameter set;
and the equipment control module is used for controlling the abnormal monitoring block and the sub-equipment corresponding to the adjacent monitoring block according to the control parameter set.
Further, the system includes:
the energy consumption composition distribution information acquisition module is used for acquiring energy consumption composition distribution information according to the energy consumption monitoring data set;
the energy consumption intensity analysis module is used for carrying out energy consumption intensity analysis on each energy consumption component according to the energy consumption component distribution information to obtain a first energy consumption identification result;
the energy consumption total amount analysis module is used for carrying out energy consumption total amount analysis on each energy consumption composition according to the energy consumption composition distribution information to obtain a second energy consumption identification result;
and the abnormality identification module is used for carrying out abnormality identification based on the first energy consumption identification result and the second energy consumption identification result.
Further, the system includes:
the working condition testing module is used for testing the working condition of the flue gas treatment integrated device to obtain energy consumption data sets under a plurality of working conditions;
the energy consumption abnormal parameter set configuration module is used for configuring energy consumption abnormal parameter sets under a plurality of working conditions based on the energy consumption data sets under the plurality of working conditions, wherein each set of parameters comprises preset energy consumption intensity and preset total energy consumption;
the abnormal energy consumption identification module is used for inputting the energy consumption abnormal parameter set into the energy consumption identification layer and identifying abnormal energy consumption.
Further, the system includes:
the energy consumption intensity comparison module is used for comparing the first energy consumption identification result with the preset energy consumption intensity and outputting a first identification result;
the energy consumption total amount comparison module is used for comparing the second energy consumption identification result with the preset energy consumption total amount and outputting a second identification result;
the identification information generation module is used for generating identification information based on the first identification result and the second identification result;
and the monitoring block structure identification module is used for identifying the data monitoring block structure by the identification information to obtain the identification monitoring block.
Any of the steps of the methods described above may be stored as computer instructions or programs in a non-limiting computer memory and may be called by a non-limiting computer processor to identify any method for implementing an embodiment of the present application, without unnecessary limitations.
Further, the first or second element may not only represent a sequential relationship, but may also represent a particular concept, and/or may be selected individually or in whole among a plurality of elements. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the scope of the application. Thus, the present application is intended to include such modifications and alterations insofar as they come within the scope of the application or the equivalents thereof.