CN113420459B - Sewage treatment system based on large delay algorithm - Google Patents
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Abstract
The invention discloses a sewage treatment system based on a large delay algorithm, belongs to the technical field of delay, relates to a large delay sewage treatment technology, and is used for solving the problems that when a sewage treatment system in the prior art carries out sewage treatment again, the transmission efficiency is reduced due to temperature and wire abrasion, so that the signal transmission is delayed and the process error is caused; the simulation module is used for simulating the time delay performance of the sewage treatment system, correcting a treatment instruction, eliminating the time delay of signal transmission caused by temperature and wire abrasion, improving the response efficiency of the system and improving the execution efficiency of the system; the all-weather in-advance simulation is carried out on the transfer test points in the model, so that real-time adjustment and detection can be realized, and the adjustment of deviation time can also be realized according to the weather condition of each day.
Description
Technical Field
The invention belongs to the technical field of time delay, relates to a large-delay sewage treatment technology, and particularly relates to a sewage treatment system based on a large-delay algorithm.
Background
The existing fuel type oil refining enterprises mostly adopt a mixed treatment process of oily sewage and saline sewage to the sewage generated by the device, the oily sewage is utilized to dilute the saline sewage, and the influence of the saline sewage on a biochemical unit (A/O) of a sewage treatment system is reduced, but the treatment process has the problems of limitation of water supplement indexes and low sewage reuse rate. And the reuse water generated by the mixing treatment mode is higher and higher in conductivity of the raw sewage, so that the salt content of the reuse water is too high and the reuse water cannot be reused, and the fresh water supplement dosage has to be increased.
Disclosure of Invention
The invention aims to provide a sewage treatment system based on a large delay algorithm, which is used for solving the problems that when the sewage treatment system in the prior art is used for treating sewage again, the transmission efficiency is reduced due to the abrasion of temperature and wires, so that the signal transmission is delayed, and the process error is caused.
The purpose of the invention can be realized by the following technical scheme:
a sewage treatment system based on a large delay algorithm comprises an acquisition module, a simulation module, an effect module and a sewage treatment module;
the acquisition module is arranged to acquire operating parameters in the sewage treatment system;
the simulation module is used for carrying out simulation treatment on the sewage treatment system;
the effect module is set to correct the sewage treatment system in real time;
the sewage treatment module is set to store a sewage treatment system and a treatment instruction.
Further, the simulation module comprises a collection layer, an instruction layer, an execution layer, a time layer, a delay layer and an additional layer;
the collection layer is used for acquiring the collected data of the collection module and establishing a simulation transmission model according to the collected data;
the instruction layer is used for acquiring a processing instruction of the sewage treatment system and generating a processing label according to the processing instruction;
the execution layer is used for marking the processing label as an input item in the simulation transmission model;
the time layer is used for recording time nodes of the simulation transmission model;
the delay layer is used for acquiring time nodes and comparing the time nodes with the processing instruction to generate a delay label;
the additional recording layer is used for additionally recording the delay label and the processing instruction to generate an additional recording instruction, and specifically, after the delay label is generated at the transfer test point, the time sub-instruction in the processing instruction corresponding to the transfer test point is replaced by the delay time length to generate the additional recording instruction.
Further, the establishing of the simulation transmission model specifically includes,
acquiring a construction drawing corresponding to the sewage treatment system, generating a CAD marking construction drawing through the construction drawing, and marking a transmission node in the CAD marking construction drawing as a transfer test point;
acquiring the length of a transmission line between different transfer test points through a CAD marking construction drawing, and marking the length as Li;
acquiring a construction area corresponding to the sewage treatment system, specifically, acquiring the construction area through the construction datum point coordinates of a construction drawing;
acquiring temperature information of a construction area, specifically, establishing data connection with a meteorological bureau to acquire a 24-hour temperature predicted value Y-C of the construction area; and Y is the predicted temperature, and C is the predicted time corresponding to the predicted temperature.
Further, the instruction layer is used for acquiring a processing instruction of the sewage treatment system and generating a processing label according to the processing instruction, specifically,
acquiring a processing instruction of a sewage treatment system, and marking a target sub-instruction, a time sub-instruction and an effector sub-instruction in the processing instruction as processing labels;
the treatment instruction is specifically an operation instruction of the sewage treatment system, wherein the operation instruction comprises a start instruction, an end instruction, an execution instruction and a feedback instruction;
the target sub-instruction is an instruction which is sent to the transfer test point correspondingly by the processing instruction;
the time sub-instruction is a set of a start instruction and an end instruction in the processing instruction;
the effector refers to a set of execution instructions and feedback instructions within a processing instruction.
Further, the execution layer is configured to mark the processing tag as an input item in the simulation transmission model, specifically, send the corresponding processing tag to the transfer test point, and execute the transfer test point according to the processing tag;
the time layer is used for recording time nodes of the simulation transmission model, and specifically, the simulation transmission model carries out simulation operation according to the processing label;
acquiring simulation operation parameters of all transfer test points of a simulation transmission model during simulation operation;
the simulation operation parameters comprise simulation time sub-instructions; the simulation time sub-instruction is specifically a time node which is executed according to the processing label after the transfer test point receives the processing label when the simulation transmission model carries out simulation operation.
Further, the time delay layer is used for acquiring time nodes and comparing the time nodes with the processing instruction to generate a time delay label, specifically, the time nodes of the time layer and the time sub-instruction in the processing label are acquired, and the time delay label is not generated when the time nodes of the middle layer belong to the range of the time sub-instruction;
when the time node of the time layer is larger than the range of the time sub-instruction, a delay label is formed;
the delay label comprises delay time, and the delay time is specifically the time length of which the time node is greater than the time sub-instruction range.
Further, the simulation transmission model performs simulation operation according to the processing label, specifically,
acquiring the length Li of a transmission line between transfer test points, a time sub-instruction and temperature information corresponding to the time sub-instruction;
obtaining the temperature factor value by a temperature factor formula, specifically, the temperature factor formula is
In the formula, Y-C is the predicted temperature corresponding to the time sub-instruction; t is the environmental temperature of the transfer test point; alpha is the optimal use temperature corresponding to the transfer test point;
the transmission efficiency is obtained by multiplying the transmission line length Li by the temperature factor value;
and multiplying the time sub-instruction by the transmission efficiency to obtain transmission deviation time, wherein a set of the deviation time added by the start instruction and the end instruction in the time sub-instruction is the simulation time sub-instruction.
And the effect module is further used for acquiring the additional recording instruction and executing the additional recording instruction.
The acquisition module further comprises a temperature acquisition unit, a drawing acquisition unit, a cable acquisition unit, an interface acquisition unit and a transmission node acquisition unit;
the temperature acquisition unit is used for acquiring the temperature of the working environment of the transmission node;
the drawing acquisition unit is used for acquiring a construction drawing corresponding to the sewage treatment system;
the cable acquisition unit is used for acquiring the cable connection model and the cable length between the transmission nodes;
the interface acquisition unit is used for acquiring the type of a connection interface between a cable and a transmission node;
the transmission node acquisition unit is used for acquiring transmission nodes in the sewage treatment system, wherein the transmission nodes comprise a data processing terminal, an execution terminal and a feedback terminal.
Further, the sewage treatment module comprises a composite treatment unit, an alkaline residue treatment unit, a sewage treatment unit, a circulating water unit, a saline sewage treatment unit, a condensate water recovery unit, an oil and iron removal unit and a flue gas desulfurization unit.
Compared with the prior art, the invention has the beneficial effects that:
(1) the simulation module comprises a collection layer, an instruction layer, an execution layer, a time layer, a delay layer and an additional recording layer; the collection layer is used for acquiring the collected data of the collection module and establishing a simulation transmission model according to the collected data; the instruction layer is used for acquiring a processing instruction of the sewage treatment system and generating a processing label according to the processing instruction; the execution layer is used for marking the processing label as an input item in the simulation transmission model; the time layer is used for recording time nodes of the simulation transmission model; the time delay layer is used for acquiring time nodes and comparing the time nodes with the processing instruction to generate a time delay label; the supplementing and recording layer is used for supplementing and recording the delay labels and the processing instructions to generate supplementing and recording instructions, and specifically, after the delay labels are generated at the transfer test points, time sub-instructions in the processing instructions corresponding to the transfer test points are replaced by delay time to generate supplementing and recording instructions, the simulation module is used for simulating the delay performance of the sewage treatment system, correcting the processing instructions, eliminating the temperature and wire abrasion to delay signal transmission, improving the response efficiency of the system and improving the execution efficiency of the system;
(2) acquiring the length Li of a transmission line between transfer test points, a time sub-instruction and temperature information corresponding to the time sub-instruction; obtaining the temperature factor value by a temperature factor formula, specifically, the temperature factor formula is
Wherein Y-C is timeThe predicted temperature corresponding to the sub-instruction; t is the environmental temperature of the transfer test point; alpha is the optimal use temperature corresponding to the transfer test point; the transmission efficiency is obtained by multiplying the transmission line length Li by the temperature factor value; the transmission deviation time is obtained by multiplying the time sub-instruction by the transmission efficiency, a set of the starting instruction, the ending instruction and the deviation time in the time sub-instruction is the simulation time sub-instruction, all-weather simulation in advance is carried out on the transfer test points in the model, real-time adjustment and detection can be realized, and the deviation time can also be adjusted according to the weather condition of each day.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Thus, the detailed description of the embodiments of the present invention provided in the following drawings is not intended to limit the scope of the invention as claimed, but is merely representative of selected embodiments of the invention.
As shown in fig. 1, a sewage treatment system based on a large delay algorithm comprises an acquisition module, a simulation module, an effect module and a sewage treatment module;
the acquisition module is used for acquiring operation parameters in the sewage treatment system;
the simulation module is used for carrying out simulation treatment on the sewage treatment system;
the effect module is used for correcting the sewage treatment system in real time;
the sewage treatment module is used for storing a sewage treatment system and a treatment instruction;
the present application will be described in detail with reference to specific examples;
the acquisition module comprises a temperature acquisition unit, a drawing acquisition unit, a cable acquisition unit, an interface acquisition unit and a transmission node acquisition unit;
the temperature acquisition unit is used for acquiring the temperature of the working environment of the transmission node, and when the temperature acquisition unit is used for specifically realizing the temperature acquisition, the temperature sensor is arranged at the acquisition transmission node, so that the temperature of the working environment of the transmission node can be acquired;
the drawing acquisition unit is used for acquiring construction drawings corresponding to the sewage treatment system, and acquiring the construction drawings through project record information when the construction drawings are specifically implemented;
the cable acquisition unit is used for acquiring the cable connection model and the cable length between the transmission nodes, and acquiring the cable connection model and the cable length through construction drawings when concrete implementation is carried out;
the interface acquisition unit is used for acquiring the type of a connection interface between the cable and the transmission node, and acquiring the type of the connection interface between the cable and the transmission node through the equipment purchase backup table during concrete implementation;
the transmission node acquisition unit is used for acquiring transmission nodes in the sewage treatment system, wherein the transmission nodes comprise a data processing terminal, an execution terminal and a feedback terminal, and when the data processing terminal is realized in detail, the data processing terminal can be a controller in the sewage system or a processor of the sewage system; the execution terminal can be various valves or actuators in the sewage system; the feedback terminal can be various sensors in the sewage system.
In specific implementation, the simulation module comprises a collection layer, an instruction layer, an execution layer, a time layer, a delay layer and an additional layer;
in real time, the simulation module is stored in the processor, and a collection layer in the simulation module is used for acquiring the collected data of the collection module and establishing a simulation transmission model according to the collected data;
the instruction layer is used for acquiring a processing instruction of the sewage treatment system and generating a processing label according to the processing instruction;
the execution layer is used for marking the processing label as an input item in the simulation transmission model;
the time layer is used for recording time nodes of the simulation transmission model;
the time delay layer is used for acquiring time nodes and comparing the time nodes with the processing instruction to generate a time delay label;
the additional recording layer is used for additionally recording the delay label and the processing instruction to generate an additional recording instruction, and specifically, after the delay label is generated at the transfer test point, the time sub-instruction in the processing instruction corresponding to the transfer test point is replaced by the delay time length to generate the additional recording instruction.
When the concrete implementation is carried out, establishing a simulation transmission model, namely acquiring a construction drawing corresponding to the sewage treatment system, generating a CAD marking construction drawing through the construction drawing, and marking a transmission node in the CAD marking construction drawing as a transfer test point; the generation of the CAD marked construction drawing from the construction drawing is a mature technology, and no specific requirements are made in the application.
Acquiring the length of a transmission line between different transfer test points through a CAD marking construction drawing, and marking the length as Li; specifically, the length of the transmission line is the data collected by the cable collection unit.
Acquiring a construction area corresponding to the sewage treatment system, specifically, acquiring the construction area through the construction datum point coordinates of a construction drawing;
the construction datum points are datum positioning points issued by a land planning and construction department, and the construction areas can be positioned by performing area positioning conversion on the datum positioning points, and the datum positioning points are converted into the prior art.
Acquiring temperature information of a construction area, specifically, establishing data connection with a meteorological bureau to acquire a 24-hour temperature predicted value Y-C of the construction area; y is the predicted temperature, and C is the predicted time corresponding to the predicted temperature;
wherein, the meteorological office is the meteorological office corresponding to the construction area.
The instruction layer is used for acquiring a processing instruction of the sewage treatment system and generating a processing label according to the processing instruction, specifically, acquiring the processing instruction of the sewage treatment system and marking a target sub-instruction, a time sub-instruction and an effector sub-instruction in the processing instruction as the processing label;
the treatment instruction is specifically an operation instruction of the sewage treatment system, wherein the operation instruction comprises a start instruction, an end instruction, an execution instruction and a feedback instruction;
specifically, the start instruction, the end instruction, the execution instruction and the feedback instruction are set by the sewage treatment system and are used for managing the on-off and execution actions of all mechanical equipment and sensors in the sewage treatment system.
The target sub-instruction is an instruction which is correspondingly sent to the transfer test point by the processing instruction;
the time sub-instruction is a set of a start instruction and an end instruction in the processing instruction;
an effector refers to a set of execution instructions and feedback instructions within a processing instruction.
More specifically, the sets are unions.
The execution layer is used for marking the processing label as an input item in the simulation transmission model, specifically, sending the corresponding processing label to the transfer test point, and executing the transfer test point according to the processing label;
the time layer is used for recording time nodes of the simulation transmission model, and specifically, the simulation transmission model carries out simulation operation according to the processing label;
the simulation transmission model carries out simulation operation according to the processing label, and specifically obtains the length Li of a transmission line between the transfer test points, a time sub-instruction and temperature information corresponding to the time sub-instruction;
obtaining the temperature factor value by a temperature factor formula, specifically, the temperature factor formula is
In the formula, Y-C is the predicted temperature corresponding to the time sub-instruction; t is the environmental temperature of the transfer test point; alpha is the optimal use temperature corresponding to the transfer test point;
the transmission efficiency is obtained by multiplying the transmission line length Li by the temperature factor value;
and multiplying the time sub-instruction by the transmission efficiency to obtain transmission deviation time, wherein a set of the deviation time added by the start instruction and the end instruction in the time sub-instruction is the simulation time sub-instruction.
Acquiring simulation operation parameters of all transfer test points of a simulation transmission model during simulation operation;
the simulation operation parameters comprise simulation time sub-instructions; the simulation time sub-instruction is specifically a time node which is executed according to the processing label after the transfer test point receives the processing label when the simulation transmission model performs simulation operation.
The time delay layer is used for acquiring time nodes and comparing the time nodes with the processing instruction to generate a time delay label, specifically, the time nodes of the time layer and the time sub-instruction in the processing label are acquired, and the time nodes of the time layer belong to the range of the time sub-instruction, so that the time delay label is not generated;
when the time node of the time layer is larger than the range of the time sub-instruction, a delay label is formed;
the delay label includes a delay time length, and the delay time length is specifically a time length of which the time node is greater than the time sub-instruction range.
The effect module is used for acquiring the additional recording instruction and executing the additional recording instruction.
The sewage treatment module comprises a composite treatment unit, an alkaline residue treatment unit, a sewage treatment unit, a circulating water unit, a salt-containing sewage treatment unit, a condensate water recovery unit, an oil and iron removal unit and a flue gas desulfurization unit.
During specific implementation, the composite treatment unit and the alkaline residue treatment unit are respectively communicated with the sewage treatment unit, the sewage treatment unit comprises an oil separation structure, a flotation structure, a biochemical unit, a secondary sedimentation tank structure and a high-density sedimentation structure, and sewage from the composite treatment unit and the alkaline residue treatment unit is subjected to mixed treatment in the sewage treatment unit to form partial circulating water supplement;
the circulating water unit is communicated with the sewage treatment unit and is used for receiving the water supplement of the circulating water treated by the sewage treatment unit;
the brine sewage treatment unit is communicated with the circulating water unit so as to carry out desalination treatment on the brine sewage discharged from the circulating water unit and comprises a circulating water discharge treatment unit and a strong brine treatment unit, the circulating water discharge treatment unit is communicated with the circulating water unit, and fresh water formed after treatment by the circulating water discharge treatment unit flows back into the circulating water unit; the strong brine treatment unit is communicated with the circulating water discharge treatment unit, strong brine formed after treatment by the circulating water discharge treatment unit is treated again in the strong brine treatment unit and discharged outwards after reaching the standard, wherein the circulating water discharge treatment unit comprises a high-efficiency sedimentation tank, a biological filter, an ultrafiltration unit and a reverse osmosis unit, and the strong brine treatment unit comprises a biological filter and an ozone treatment unit;
a condensate recovery unit; the condensate water recovery unit is communicated with the oil and iron removing unit and carries out oil and iron removing treatment in the oil and iron removing unit;
the flue gas desulfurization unit, the flue gas desulfurization unit communicates with the circulating water unit, the flue gas desulfurization unit includes demineralized water station, flue gas desulfurization structure and evaporation unit, demineralized water station and flue gas desulfurization structure intercommunication, the second grade dense water that the demineralized water station produced is as flue gas desulfurization structure water injection, the flue gas desulfurization structure passes through evaporation unit and circulating water unit intercommunication, the comdenstion water that obtains by the evaporation unit gets into in the circulating water unit, the crystallization salt that obtains by the evaporation unit outwards discharges, the evaporation unit includes pretreatment structure and evaporation structure.
The composite processing unit includes: a domestic sewage treatment unit; the production water treatment unit, the domestic sewage treatment unit and the production water treatment unit are communicated with the sewage treatment unit.
The production water treatment unit includes:
the sulfur-containing sewage treatment component is used for treating sulfur-containing sewage to form desulfurized purified water;
the oily sewage component is used for collecting sewage, the oily sewage component is communicated with the sulfur-containing sewage treatment component to receive desulfurization production water, and the oily sewage component is communicated with the sewage treatment unit to discharge the collected sewage into the sewage treatment unit.
The sewage treatment system also comprises an oily sewage pipeline which is communicated with the oily sewage assembly so as to discharge oily sewage in the oily sewage pipeline into the oily sewage assembly.
The sewage treatment system also comprises a rainwater collecting unit which is communicated with the sewage treatment unit.
The sulfur-containing sewage treatment component comprises: a plurality of sulfur-containing sewer lines; the crude oil electric desalting structure is characterized in that the acidic water stripper is communicated with the oily sewage component through the crude oil electric desalting structure, so that part of desulfurized and purified water discharged from the acidic water stripper enters the crude oil electric desalting structure to form electric desalted sewage and enters the oily sewage component, and the rest of desulfurized and purified water discharged from the acidic water stripper directly flows into the oily sewage component.
The circulating water unit exchanges heat with equipment with heat dissipation capacity, so that the heat of the equipment is taken away by the circulating water in the circulating water unit.
The caustic sludge treatment unit comprises: the desulfurization structure is used for desulfurizing the liquefied gas to form liquid with alkaline residue; the device comprises a reduction structure, a desulfurization structure and a sewage treatment unit, wherein the reduction structure is communicated with the desulfurization structure and is used for treating liquid with alkaline residue to form a small amount of alkaline liquid, the reduction structure is communicated with the sewage treatment unit to discharge the alkaline liquid into the sewage treatment unit, and specifically, the desulfurization structure comprises an amine washing part and an alkaline washing part.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus, unit and method may be implemented in other ways. For example, the above-described unit embodiments are only illustrative, and for example, the division of the modules is only one logical function division, and there may be another division in actual implementation; the modules described as separate parts may or may not be physically separate, and parts displayed as modules 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 modules may be selected according to actual needs to achieve the purpose of the method of the embodiment.
It will also be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or units recited in the system claims may also be implemented by one unit or unit in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above examples are only intended to illustrate the technical process of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical process of the present invention without departing from the spirit and scope of the technical process of the present invention.
Claims (4)
1. A sewage treatment system based on a large delay algorithm is characterized by comprising an acquisition module, a simulation module, an effect module and a sewage treatment module;
the acquisition module is arranged to acquire operating parameters in the sewage treatment system;
the simulation module is used for carrying out simulation treatment on the sewage treatment system;
the effect module is arranged for correcting the sewage treatment system in real time;
the sewage treatment module is used for storing a sewage treatment system and a treatment instruction;
the simulation module comprises a collection layer, an instruction layer, an execution layer, a time layer, a delay layer and an additional recording layer;
the collection layer is used for acquiring the collected data of the collection module and establishing a simulation transmission model according to the collected data;
the instruction layer is used for acquiring a processing instruction of the sewage treatment system and generating a processing label according to the processing instruction;
the execution layer is used for marking the processing label as an input item in the simulation transmission model;
the time layer is used for recording time nodes of the simulation transmission model;
the delay layer is used for acquiring time nodes and comparing the time nodes with the processing instruction to generate a delay label;
the entry supplementing layer is used for supplementing the delay labels and the processing instructions to generate entry supplementing instructions, and specifically, after the delay labels are generated at the transfer test points, time sub-instructions in the processing instructions corresponding to the transfer test points are replaced by delay time to generate entry supplementing instructions;
the establishing of the simulation transmission model is specifically that,
acquiring a construction drawing corresponding to the sewage treatment system, generating a CAD marking construction drawing through the construction drawing, and marking a transmission node in the CAD marking construction drawing as a transfer test point;
acquiring the length of a transmission line between different transfer test points through a CAD marking construction drawing, and marking the length as Li;
acquiring a construction area corresponding to the sewage treatment system, specifically, acquiring the construction area through the construction datum point coordinates of a construction drawing;
acquiring temperature information of a construction area, specifically, establishing data connection with a meteorological bureau to acquire a 24-hour temperature predicted value Y-C of the construction area; y is the predicted temperature, and C is the predicted time corresponding to the predicted temperature;
the instruction layer is used for acquiring a processing instruction of the sewage treatment system and generating a processing label according to the processing instruction, specifically,
acquiring a treatment instruction of the sewage treatment system, and marking a target sub-instruction, a time sub-instruction and an effector sub-instruction in the treatment instruction as treatment labels;
the treatment instruction is specifically an operation instruction of the sewage treatment system, wherein the operation instruction comprises a start instruction, an end instruction, an execution instruction and a feedback instruction;
the target sub-instruction is an instruction which is sent to the transfer test point correspondingly by the processing instruction;
the time sub-instruction is a set of a start instruction and an end instruction in the processing instruction;
the effector refers to a set of execution instructions and feedback instructions in the processing instruction;
the execution layer is used for marking the processing label as an input item in the simulation transmission model, specifically, sending the corresponding processing label to the transfer test point, and executing the transfer test point according to the processing label;
the time layer is used for recording time nodes of the simulation transmission model, and specifically, the simulation transmission model carries out simulation operation according to the processing label;
acquiring simulation operation parameters of all transfer test points of a simulation transmission model during simulation operation;
the simulation operation parameters comprise simulation time sub-instructions; the simulation time sub-instruction is specifically a time node which is executed according to the processing label after the transfer test point receives the processing label when the simulation transmission model is in simulation operation;
the time delay layer is used for acquiring time nodes and comparing the time nodes with the processing instruction to generate a time delay label, specifically, the time nodes of the time layer and the time sub-instruction in the processing label are acquired, and the time nodes of the time layer belong to the range of the time sub-instruction, so that the time delay label is not generated;
when the time node of the time layer is larger than the range of the time sub-instruction, a delay label is formed;
the delay label comprises delay time, wherein the delay time is specifically the time length of which the time node is greater than the time sub-instruction range;
the simulation transmission model performs simulation operation according to the processing tag, specifically,
acquiring the length Li of a transmission line between transfer test points, a time sub-instruction and temperature information corresponding to the time sub-instruction;
obtaining a temperature factor value by a temperature factor formula, specifically, the temperature factor formula is
In the formula, Y-C is the predicted temperature corresponding to the time sub-instruction; t is the environmental temperature of the transfer test point; alpha is the optimal use temperature corresponding to the transfer test point;
the transmission efficiency is obtained by multiplying the length Li of the transmission line by a temperature factor;
and multiplying the time sub-instruction by the transmission efficiency to obtain transmission deviation time, wherein a set of the deviation time added by the start instruction and the end instruction in the time sub-instruction is the simulation time sub-instruction.
2. The sewage treatment system based on the large-delay algorithm of claim 1, wherein the effect module is used for obtaining the additional recording command and executing the additional recording command.
3. The sewage treatment system based on the large delay algorithm according to claim 1, wherein the acquisition module comprises a temperature acquisition unit, a drawing acquisition unit, a cable acquisition unit, an interface acquisition unit and a transmission node acquisition unit;
the temperature acquisition unit is used for acquiring the temperature of the working environment of the transmission node;
the drawing acquisition unit is used for acquiring a construction drawing corresponding to the sewage treatment system;
the cable acquisition unit is used for acquiring the cable connection model and the cable length between the transmission nodes;
the interface acquisition unit is used for acquiring the type of a connection interface between a cable and a transmission node;
the transmission node acquisition unit is used for acquiring transmission nodes in the sewage treatment system, wherein the transmission nodes comprise a data processing terminal, an execution terminal and a feedback terminal.
4. The sewage treatment system based on the large delay algorithm of claim 1, wherein the sewage treatment module comprises a composite treatment unit, an alkaline residue treatment unit, a sewage treatment unit, a circulating water unit, a saline sewage treatment unit, a condensed water recovery unit, an oil and iron removal unit and a flue gas desulfurization unit.
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| US7821936B2 (en) * | 2007-07-27 | 2010-10-26 | Avaya Inc. | Systems and methods for partitioning end-to-end performance effects using network tomography |
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