CN115034477A - Economic operation analysis system and optimization method for slurry pipeline - Google Patents
Economic operation analysis system and optimization method for slurry pipeline Download PDFInfo
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- 238000004458 analytical method Methods 0.000 title claims abstract description 74
- 239000002002 slurry Substances 0.000 title claims abstract description 35
- 238000005457 optimization Methods 0.000 title claims abstract description 21
- 238000005259 measurement Methods 0.000 claims abstract description 29
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 16
- 238000009795 derivation Methods 0.000 claims abstract description 11
- 238000005265 energy consumption Methods 0.000 claims abstract description 9
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Abstract
The invention discloses a slurry pipeline economic operation analysis system and an optimization method, which comprises a conveying process parameter optimization guidance system and a process parameter analysis system, wherein the conveying process parameter optimization guidance system comprises a characteristic analysis and determination module, the output end of the characteristic analysis and determination module is connected with an ore pulp parameter output module, the output end of the ore pulp parameter output module is connected with a formula and model selection module, the output end of the formula and model selection module is connected with a process parameter derivation module, the output end of the process parameter derivation module is connected with an actual measurement judgment module, and the output end of the actual measurement judgment module is connected with a process parameter range determination module. The system and the method can complete the planned output, make the total electricity cost be the most economical as the optimization target, fully consider the model and the quantity selection of the pump, the energy consumption, the water and electricity consumption and other influence factors, and establish the optimal economic operation system suitable for different operation conditions.
Description
Technical Field
The invention relates to the field of pipeline transportation, in particular to a slurry pipeline economic operation analysis system and an optimization method.
Background
Mineral slurry is a liquid mixture of solid raw materials such as ore, ore soil and the like added with water and other auxiliary agents in industrial production for extracting target elements. There are many forms of slurry transport, in which slurry gravity is used to move slurry from one point of operation to another through pipes or channels. The self-flow conveying is divided into two modes of non-pressure self-flow conveying and pressure self-flow conveying. The non-pressure self-flow conveying features that the pipeline or channel has free surface, and each point on the free surface is acted by the same atmospheric pressure and the relative pressure is zero. The initial point of the static pressure self-flow conveying pipeline is provided with a slurry pool, and slurry flows into the pipeline under the action of pressure. The ore pulp pressure transmission is a process of transmitting mechanical energy input from the outside to slurry in a pump, converting the mechanical energy into pressure energy of the slurry, and enabling the slurry to reach a pipeline terminal point from a pipeline source after overcoming various resistances borne by the slurry flowing in a flow channel.
At present, pipeline conveying equipment can be used in the process of conveying ore pulp, however, the pipeline conveying equipment has many control parameters and complex and changeable operation conditions, and how to establish an optimal economic operation system suitable for different operation conditions is crucial, so that a slurry pipeline economic operation analysis system and an optimization method are needed.
Disclosure of Invention
Objects of the invention
In view of the above, the present invention provides an economic operation analysis system and an optimization method for a slurry pipeline to achieve optimal operation.
(II) technical scheme
In order to achieve the technical purpose, the invention provides an economic operation analysis system and an optimization method for a slurry pipeline, which comprises the following steps:
on one hand, we provide a slurry pipeline economic operation analysis system, which comprises a conveying process parameter optimization guidance system and a process parameter analysis system,
the conveying process parameter optimization guidance system comprises a characteristic analysis and determination module, wherein the output end of the characteristic analysis and determination module is connected with an ore pulp parameter output module, the output end of the ore pulp parameter output module is connected with a formula and model selection module, the output end of the formula and model selection module is connected with a process parameter derivation module, the output end of the process parameter derivation module is connected with an actual measurement judgment module, and the output end of the actual measurement judgment module is connected with a process parameter range determination module;
the process parameter analysis system comprises a selected process parameter calculation module connected with the output end of the process parameter range determination module, the output end of the selected process parameter calculation module is connected with an analysis module, the output end of the analysis module is connected with a cost calculation module, the output end of the cost calculation module is connected with an economic analysis comparison and selection module, and the output end of the economic analysis comparison and selection module is connected with an optimal judgment module.
Preferably, the characteristic analysis and determination module is used for testing and determining the basic characteristic of the ore pulp; the ore pulp parameter output module is used for outputting ore pulp specific gravity, gradation and rheological parameters measured by the characteristic analysis and determination module; and the formula and model selection module is used for analyzing and judging possible flow properties according to the actual measurement result to select a proper formula and model.
Preferably, the technological parameter derivation module utilizes the formula and the model selected by the formula and model selection module to derive the technological parameters of the pipe diameters under different concentration conditions, and the actual measurement judgment module is used for judging whether the technological parameters meet actual measurement.
Preferably, the process parameter range determining module is configured to determine a set of process parameter ranges by calculation according to the flow property, the industrial and mining requirements, and the critical flow rate when the actual measurement judging module judges that the flow property, the industrial and mining requirements, and the critical flow rate are met.
Preferably, the selected process parameter calculation module is used for selecting a part of the process range determined by the process parameter range determination module to calculate resistance, and determining concentration, pipe diameter, flow rate and loss according to the resistance.
Preferably, the analysis module is used for selecting the type and the number of the pumps and calculating and analyzing the energy consumption and the water consumption of the pumps, the cost calculation module is used for calculating the cost of pipelines, equipment, construction and water cost, and the economic analysis comparison and selection module is used for performing economic analysis and comparison by using the cost calculated by the cost calculation module; the optimal judgment module is used for judging whether the result of the economic analysis comparison and selection module belongs to an optimal scheme or not and outputting the optimal scheme when the result belongs to the optimal scheme.
In another aspect, we provide a method for optimizing a slurry pipeline economic operation analysis system, comprising the steps of:
step 1, performing test analysis on the basic characteristics of ore pulp and measuring to obtain ore pulp parameters;
step 2, outputting ore pulp parameters measured in the step 1;
step 3, analyzing according to the actual measurement result, judging possible flowing properties, and selecting a proper formula and a proper model;
step 4, deducing technological parameters of different pipe diameters under different concentration conditions according to the formula and the model in the step 3;
step 5, judging whether the result in the step 4 accords with the actual measurement result; if not, returning to the step 3, and if yes, entering the step 6;
step 6, preliminarily calculating and determining the range of a group of process parameters according to the flow property, the working condition requirement and the critical flow rate;
step 7, selecting a group of ranges in the step 6 to calculate resistance, and determining concentration, pipe diameter, flow rate and loss according to the ranges;
8, selecting the type and the number of the pumps, and analyzing the energy consumption and the water consumption of the pumps;
step 9, calculating the cost of pipelines, equipment, construction, water charge and the like;
step 10, carrying out economic analysis comparison and selection on the cost in the step 9;
and 11, judging whether the scheme selected in the step 10 is an optimal scheme, if so, outputting the optimal scheme, and if not, returning to the step 7 after trial calculation, comparison selection and verification.
Preferably, the pulp parameters in step 2 include, but are not limited to, specific gravity, grading and rheological parameters of the pulp.
According to the technical scheme, the method has the following beneficial effects:
the system and the method can complete the planned output, make the total electricity cost be the most economical as the optimization target, fully consider the model and the quantity selection of the pump, the energy consumption, the water and electricity consumption and other influence factors, and establish the optimal economic operation system suitable for different operation conditions. Through the collection and arrangement of effective data, link-by-link experimental tests are carried out on the existing process, the existing process is optimized, and risk control, cost control, flow control and responsibility control, production refinement, flow refinement, cost refinement and knowledge refinement are achieved.
The system and the method can establish a standardized management system for the slurry pipeline transportation operation control step, realize the traceability of the operation step, combine the transportation process parameter optimization guidance system and the relevant given indexes of the process parameter analysis system to form the index parameters of the economic transportation mode, guide the formation of the optimal operation step and achieve the purpose of economic transportation.
Drawings
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 embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a block schematic diagram of a slurry pipeline economic operation analysis system provided by the invention.
Fig. 2 is a schematic flow chart of an optimization method of the slurry pipeline economic operation analysis system provided by the invention.
Detailed Description
The following description is merely exemplary in nature and is not intended to limit the present disclosure, application, or uses.
Example one
Referring to fig. 1, an economic operation analysis system of a slurry pipeline comprises a conveying process parameter optimization guidance system and a process parameter analysis system, wherein the conveying process parameter optimization guidance system comprises a characteristic analysis and determination module, the output end of the characteristic analysis and determination module is connected with an ore pulp parameter output module, the output end of the ore pulp parameter output module is connected with a formula and a model selection module, the output end of the formula and model selection module is connected with a process parameter derivation module, the output end of the process parameter derivation module is connected with an actual measurement judgment module, and the output end of the actual measurement judgment module is connected with a process parameter range determination module;
the process parameter analysis system comprises a selection process parameter calculation module connected with the output end of the process parameter range determination module, the output end of the selection process parameter calculation module is connected with an analysis module, the output end of the analysis module is connected with a cost calculation module, the output end of the cost calculation module is connected with an economic analysis comparison and selection module, and the output end of the economic analysis comparison and selection module is connected with an optimal judgment module.
The characteristic analysis and determination module is used for testing and determining the basic characteristics of the ore pulp; the ore pulp parameter output module is used for outputting ore pulp specific gravity, gradation and rheological parameters measured by the characteristic analysis and measurement module; and the formula and model selection module is used for analyzing and judging possible flow properties according to the actual measurement result to select a proper formula and model. The technological parameter derivation module utilizes the formula and the model selected by the formula and model selection module to derive the technological parameters of the pipe diameters under the conditions of different concentrations, and the actual measurement judgment module is used for judging whether the technological parameters meet the actual measurement.
Further, the process parameter range determining module is used for calculating and determining a group of process parameter ranges according to the flowing property, the industrial and mining requirements and the critical flow rate when the actual measurement judging module judges that the actual measurement is met. And the selected process parameter calculation module is used for selecting a part of the process range determined by the process parameter range determination module to calculate resistance and determining concentration, pipe diameter, flow rate and loss according to the resistance.
Specifically, the analysis module is used for selecting the type and the number of the pumps and calculating and analyzing the energy consumption and the water consumption of the pumps, the cost calculation module is used for calculating the cost of pipelines, equipment, construction and water charge, and the economic analysis comparison and selection module is used for performing economic analysis and comparison by using the cost calculated by the cost calculation module; the optimal judgment module is used for judging whether the result of the economic analysis comparison and selection module belongs to the optimal scheme or not and outputting the optimal scheme when the result belongs to the optimal scheme.
Example two
Referring to fig. 2, a method for optimizing a slurry pipeline economic operation analysis system includes the steps of:
step 1, performing test analysis on the basic characteristics of ore pulp and measuring to obtain ore pulp parameters;
step 2, outputting the specific gravity, the gradation, the rheological parameters and the like of the ore pulp measured in the step 1;
step 3, analyzing according to the actual measurement result, judging possible flow properties, and selecting a proper formula and a proper model;
step 4, deducing technological parameters of different pipe diameters under different concentration conditions according to the formula and the model in the step 3;
step 5, judging whether the result in the step 4 accords with the actual measurement result; if not, returning to the step 3, and if yes, entering the step 6;
step 6, preliminarily calculating and determining the range of a group of process parameters according to the flow property, the working condition requirement and the critical flow rate;
step 7, selecting a group of ranges in the step 6 to calculate resistance, and determining concentration, pipe diameter, flow rate and loss according to the ranges;
8, selecting the type and the number of the pumps, and analyzing the energy consumption and the water consumption of the pumps;
step 9, calculating the cost of pipelines, equipment, construction, water charge and the like;
step 10, carrying out economic analysis comparison and selection on the cost in the step 9;
and 11, judging whether the scheme selected in the step 10 is an optimal scheme, if so, outputting the optimal scheme, and if not, returning to the step 7 after trial calculation, comparison selection and verification.
The system and the method can complete the planned output, make the total electricity cost be the most economical as the optimization target, fully consider the model and the quantity selection of the pump, the energy consumption, the water and electricity consumption and other influence factors, and establish the optimal economic operation system suitable for different operation conditions. Through the collection and arrangement of effective data, link-by-link experimental tests are carried out on the existing process, the existing process is optimized, and risk control, cost control, flow control and responsibility control, production refinement, flow refinement, cost refinement and knowledge refinement are achieved.
The system and the method can establish a standardized management system for the slurry pipeline transportation operation control step, realize the traceability of the operation step, combine the transportation process parameter optimization guidance system and the relevant given indexes of the process parameter analysis system to form the index parameters of the economic transportation mode, guide the formation of the optimal operation step and achieve the purpose of economic transportation.
Exemplary embodiments of the proposed solution of the present disclosure have been described in detail above with reference to preferred embodiments, however, it will be understood by those skilled in the art that many variations and modifications may be made to the specific embodiments described above, and that many combinations of the various technical features and structures presented in the present disclosure may be made without departing from the concept of the present disclosure, without departing from the scope of the present disclosure, which is defined by the appended claims.
Claims (8)
1. A slurry pipeline economic operation analysis system is characterized by comprising a conveying process parameter optimization guidance system and a process parameter analysis system,
the conveying process parameter optimization guidance system comprises a characteristic analysis and determination module, wherein the output end of the characteristic analysis and determination module is connected with an ore pulp parameter output module, the output end of the ore pulp parameter output module is connected with a formula and model selection module, the output end of the formula and model selection module is connected with a process parameter derivation module, the output end of the process parameter derivation module is connected with an actual measurement judgment module, and the output end of the actual measurement judgment module is connected with a process parameter range determination module;
the process parameter analysis system comprises a selected process parameter calculation module connected with the output end of the process parameter range determination module, the output end of the selected process parameter calculation module is connected with an analysis module, the output end of the analysis module is connected with a cost calculation module, the output end of the cost calculation module is connected with an economic analysis comparison and selection module, and the output end of the economic analysis comparison and selection module is connected with an optimal judgment module.
2. The economic operation analysis system of slurry pipeline according to claim 1, characterized in that the characteristic analysis and determination module is used for testing and determining the basic characteristics of the ore pulp; the ore pulp parameter output module is used for outputting ore pulp specific gravity, gradation and rheological parameters measured by the characteristic analysis and determination module; and the formula and model selection module is used for analyzing and judging possible flow properties according to the actual measurement result to select a proper formula and model.
3. The economic operation analysis system of slurry pipeline according to claim 2, wherein said process parameter derivation module derives the process parameters of the pipe diameter under different concentration conditions by using the formula and model selected by said formula and model selection module, and said actual measurement judgment module is used for judging whether the process parameters meet the actual measurement.
4. The economic operation analysis system of a slurry pipeline according to claim 3, wherein the process parameter range determination module is configured to determine a set of process parameter ranges by calculation according to the flow property, the industrial and mining requirements, and the critical flow rate when the actual measurement judgment module judges that the actual measurement is met.
5. The economic operation analysis system of a slurry pipeline according to claim 4, characterized in that the selected process parameter calculation module is used for selecting a part of the process range determined by the process parameter range determination module to calculate resistance, and determining concentration, pipe diameter, flow rate and loss according to the resistance.
6. The economic operation analysis system of slurry pipeline according to claim 5, characterized in that the analysis module is used for selecting the model and number of the pump and calculating and analyzing the energy consumption and water consumption, the cost calculation module is used for calculating the cost of pipeline, equipment, construction and water cost, and the economic analysis comparison module is used for carrying out economic analysis and comparison by using the cost calculated by the cost calculation module; the optimal judgment module is used for judging whether the result of the economic analysis comparison and selection module belongs to an optimal scheme or not and outputting the optimal scheme when the result belongs to the optimal scheme.
7. A method for optimizing a slurry pipeline economic operation analysis system is characterized by comprising the following steps:
step 1, performing test analysis on the basic characteristics of ore pulp and measuring to obtain ore pulp parameters;
step 2, outputting ore pulp parameters measured in the step 1;
step 3, analyzing according to the actual measurement result, judging possible flowing properties, and selecting a proper formula and a proper model;
step 4, deducing technological parameters of different pipe diameters under different concentration conditions according to the formula and the model in the step 3;
step 5, judging whether the result in the step 4 accords with the actual measurement result; if not, returning to the step 3, and if yes, entering the step 6;
step 6, preliminarily calculating and determining the range of a group of process parameters according to the flow property, the working condition requirement and the critical flow rate;
step 7, selecting a group of ranges in the step 6 to calculate resistance, and determining concentration, pipe diameter, flow rate and loss according to the ranges;
step 8, selecting the types and the number of the pumps, and analyzing the energy consumption and the water consumption of the pumps;
step 9, calculating the cost of pipelines, equipment, construction, water charge and the like;
step 10, carrying out economic analysis comparison and selection on the cost in the step 9;
and 11, judging whether the scheme selected in the step 10 is an optimal scheme, if so, outputting the optimal scheme, and if not, returning to the step 7 after trial calculation, comparison selection and verification.
8. The method for optimizing an analysis system for economic operation of slurry pipelines according to claim 7, wherein the slurry parameters in step 2 include, but are not limited to, specific gravity, grading and rheological parameters of the slurry.
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| CN115879192A (en) * | 2022-11-03 | 2023-03-31 | 中交机电工程局有限公司 | BIM-based rail transit machine room design method |
| CN115879192B (en) * | 2022-11-03 | 2023-08-01 | 中交机电工程局有限公司 | BIM-based rail transit machine room design method |
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