CN113515861A - Casting system for smelting regenerated copper plate - Google Patents
Casting system for smelting regenerated copper plate Download PDFInfo
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- CN113515861A CN113515861A CN202110785461.4A CN202110785461A CN113515861A CN 113515861 A CN113515861 A CN 113515861A CN 202110785461 A CN202110785461 A CN 202110785461A CN 113515861 A CN113515861 A CN 113515861A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B22—CASTING; POWDER METALLURGY
- B22D—CASTING OF METALS; CASTING OF OTHER SUBSTANCES BY THE SAME PROCESSES OR DEVICES
- B22D46/00—Controlling, supervising, not restricted to casting covered by a single main group, e.g. for safety reasons
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- C—CHEMISTRY; METALLURGY
- C22—METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
- C22B—PRODUCTION AND REFINING OF METALS; PRETREATMENT OF RAW MATERIALS
- C22B15/00—Obtaining copper
- C22B15/0026—Pyrometallurgy
- C22B15/0028—Smelting or converting
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- C—CHEMISTRY; METALLURGY
- C22—METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
- C22B—PRODUCTION AND REFINING OF METALS; PRETREATMENT OF RAW MATERIALS
- C22B15/00—Obtaining copper
- C22B15/0026—Pyrometallurgy
- C22B15/0056—Scrap treating
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- C—CHEMISTRY; METALLURGY
- C22—METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
- C22B—PRODUCTION AND REFINING OF METALS; PRETREATMENT OF RAW MATERIALS
- C22B7/00—Working up raw materials other than ores, e.g. scrap, to produce non-ferrous metals and compounds thereof; Methods of a general interest or applied to the winning of more than two metals
- C22B7/001—Dry processes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P10/00—Technologies related to metal processing
- Y02P10/20—Recycling
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention discloses a casting system for smelting a regenerated copper plate, which relates to the technical field of copper plate casting and solves the technical problem that the casting quality of the copper plate is affected by environmental abnormality because the environment cannot be detected by the copper plate in the casting process in the prior art, casting environment information is analyzed by an environment monitoring unit to obtain the difference value between the maximum temperature and the minimum temperature all day in the smelting environment of the copper plate, the average air flow speed all day in the smelting environment of the copper plate and the maximum humidity value all day in the smelting environment of the copper plate, an environment monitoring coefficient HJi around smelting equipment is obtained by a formula, and the environment monitoring coefficient HJi around the smelting equipment is compared with an environment monitoring coefficient threshold value; the casting environment is detected, so that the condition that the copper plate is unqualified due to abnormal environment is effectively avoided, the percent of pass of the copper plate casting is improved, and the influence of the environment is reduced.
Description
Technical Field
The invention relates to the technical field of copper plate casting, in particular to a casting system for smelting a regenerated copper plate.
Background
Copper is a renewable resource, and the renewable copper is an important raw material for copper smelting; the secondary copper treatment process is dependent on the raw materials, high-grade copper scrap of about 2/3 is directly used for copper product production without smelting treatment, and scrap copper of 1/3 is required for smelting treatment. At present, a plurality of methods for recycling scrap copper at home and abroad are available, and the method can be mainly divided into two categories: the first type is directly smelting high-quality scrap copper into refined purple copper or copper alloy for users, which is called direct utilization; the second type is indirect utilization, in which scrap copper is processed into an anode plate and then is electrolytically refined into electrolytic copper for users to use.
However, in the prior art, the environment of the copper plate cannot be detected in the casting process, so that the casting quality of the copper plate is affected by environmental abnormality.
Disclosure of Invention
The invention aims to provide a casting system for smelting a regenerated copper plate, casting environment information is analyzed through an environment monitoring unit, copper plate smelting equipment is marked as i, i is 1, 2, … …, n, n is a positive integer, and the specific analysis process is as follows: acquiring a difference value between the maximum temperature and the minimum temperature of the copper plate smelting environment all day, the average air flow speed of the copper plate smelting environment all day and the maximum humidity value of the copper plate smelting environment all day, acquiring an environment monitoring coefficient HJi around the smelting equipment through a formula, and comparing an environment monitoring coefficient HJi around the smelting equipment with an environment monitoring coefficient threshold; the casting environment is detected, so that the condition that the copper plate is unqualified due to abnormal environment is effectively avoided, the percent of pass of the copper plate casting is improved, and the influence of the environment is reduced.
The purpose of the invention can be realized by the following technical scheme:
a casting system for smelting a regenerated copper plate comprises a cloud management platform, an environment monitoring unit, an equipment detection unit, a quality detection unit, a registration unit and a database;
the environment monitoring unit is used for analyzing the casting environment information, the casting environment information comprises temperature data, air data and humidity data, the temperature data is the difference value between the maximum temperature and the minimum temperature of the copper plate smelting environment all day, the air data is the average air flow speed of the copper plate smelting environment all day, the humidity data is the maximum humidity value of the copper plate smelting environment all day, the copper plate smelting equipment is marked as i, i is 1, 2, … …, n and n are positive integers, and the specific analysis process is as follows:
step S1: acquiring the difference value between the maximum temperature and the minimum temperature of the copper plate smelting environment all day, and marking the difference value between the maximum temperature and the minimum temperature of the copper plate smelting environment all day as CZi;
step S2: acquiring the average air flow velocity of the whole day in the copper plate smelting environment, and marking the average air flow velocity of the whole day in the copper plate smelting environment as LDi;
step S3: acquiring the maximum humidity value of the copper plate smelting environment all day, and marking the maximum humidity value of the copper plate smelting environment all day as SDi;
step S4: by the formula
Obtaining an environmental monitoring coefficient HJi around the smelting equipment, wherein a1, a2 and a3 are all proportionality coefficients, and a1 is more than a2 is more than a3 is more than 0;
step S5: comparing an environment monitoring coefficient HJi around the smelting equipment with an environment monitoring coefficient threshold value:
if the environmental monitoring coefficient HJi around the smelting equipment is larger than or equal to the environmental monitoring coefficient threshold value, judging that the environmental monitoring around the smelting equipment is normal, generating an environmental normal signal and sending the environmental normal signal to the cloud management platform;
if the environmental monitoring coefficient HJi around the smelting equipment is smaller than the environmental monitoring coefficient threshold value, judging that the environmental monitoring around the smelting equipment is abnormal, generating an environmental abnormal signal and sending the environmental abnormal signal to the cloud management platform;
step S6: and after receiving the environment abnormal signal, the cloud management platform generates an environment maintenance signal and sends the environment maintenance signal to a mobile phone terminal of a manager.
Further, the equipment detecting unit is used for analyzing the operation information of the copper plate smelting equipment, so that the copper plate smelting equipment is detected, the operation information of the copper plate smelting equipment comprises noise data, time data and maintenance data, the noise data is the maximum decibel value of noise generated when the copper plate smelting equipment operates, the time data is the ratio of the time of operation of the copper plate smelting equipment in the whole day to the time of shutdown, the maintenance data is the number of times of faults occurring in the whole day operation process of the copper plate smelting equipment, and the specific analysis and detection process is as follows:
step SS 1: acquiring the maximum decibel value of noise generated by the copper plate smelting equipment during operation, and marking the maximum decibel value of the noise generated by the copper plate smelting equipment during operation as Fi;
step SS 2: acquiring the ratio of the operation time length of the copper plate smelting equipment to the shutdown time length of the copper plate smelting equipment all day, and marking the ratio of the operation time length of the copper plate smelting equipment to the shutdown time length of the copper plate smelting equipment all day as Bi;
step SS 3: acquiring the failure times of the copper plate smelting equipment in the whole-day operation process, and marking the failure times of the copper plate smelting equipment in the whole-day operation process as Gi;
step SS 4: by the formula Xi ═ (Fi × b1+ Bi × b2+ Gi × b3) eb1+b2+b3Obtaining a detection coefficient Xi of the copper plate smelting equipment, wherein b1, b2 and b3 are proportionality coefficients, b1 is greater than b2 and is greater than b3 and is a natural constant;
step SS 5: comparing the detection coefficient Xi of the copper plate smelting equipment with an equipment detection coefficient threshold value:
if the copper plate smelting equipment detection coefficient Xi is larger than or equal to the equipment detection coefficient threshold value, judging that the corresponding smelting equipment is abnormal, generating an equipment abnormal signal and sending the equipment abnormal signal to the cloud management platform;
if the detection coefficient Xi of the copper plate smelting equipment is smaller than the threshold value of the equipment detection coefficient, judging that the corresponding smelting equipment is detected normally, generating an equipment normal signal and sending the equipment normal signal to the cloud management platform;
step SS 6: and after receiving the equipment abnormal signal, the cloud management platform generates an equipment maintenance signal and sends the equipment maintenance signal to a mobile phone terminal of a maintenance worker.
Further, the quality detection unit is used for analyzing the copper smelting quality information, so as to detect the quality detection of the copper plate, the copper smelting quality information comprises tensile data, heat-resisting data and pressure data, the tensile data is the maximum tensile strength of the copper plate after smelting, the heat-resisting data is the critical temperature value of the copper plate after smelting, the pressure data is the maximum pressure value of the copper plate after smelting, the copper plate after smelting is marked as o, o is 1, 2, … …, m is a positive integer, and the specific analysis and detection process is as follows:
step T1: acquiring the maximum tensile strength of the smelted copper plate, and marking the maximum tensile strength of the smelted copper plate as Ko;
step T2: obtaining a critical temperature value of the smelted copper plate, and marking the critical temperature value of the smelted copper plate as Wo;
step T3: acquiring a maximum bearing pressure value of the smelted copper plate, and marking the maximum bearing pressure value of the smelted copper plate as Yo;
step T4: by the formula
Obtaining a quality detection coefficient Xo of the smelted copper plate, wherein v1, v2 and v3 are proportional coefficients, and v1 is more than v2 is more than v3 is more than 0;
step T5: comparing the quality detection coefficient Xo of the smelted copper plate with a quality detection coefficient threshold value:
if the quality detection coefficient Xo of the copper plate after smelting is larger than or equal to the quality detection coefficient threshold value, judging that the quality detection of the corresponding copper plate is qualified, generating a quality detection qualified signal and sending the quality detection qualified signal to the cloud management platform;
if the quality detection coefficient Xo of the copper plate after smelting is smaller than the quality detection coefficient threshold value, judging that the quality detection of the corresponding copper plate is unqualified, generating an unqualified quality detection signal and sending the unqualified quality detection signal to a cloud management platform;
step T6: and after receiving the unqualified quality detection signal, the cloud management platform generates a quality rectification signal and sends the quality rectification signal to a mobile phone terminal of a manager.
Further, the registration login unit is used for a manager and a maintainer to submit manager information and maintainer information for registration through a mobile phone terminal, and the manager information and the maintainer information which are successfully registered are sent to the database for storage, the manager information is the name, the age, the time of entry and the mobile phone number of real name authentication of the manager, and the maintainer information is the name, the age, the time of entry and the mobile phone number of real name authentication of the maintainer.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, casting environment information is analyzed by an environment monitoring unit, copper plate smelting equipment is marked as i, i is 1, 2, … …, n and n are positive integers, and the specific analysis process is as follows: acquiring a difference value between the maximum temperature and the minimum temperature of the copper plate smelting environment all day, the average air flow speed of the copper plate smelting environment all day and the maximum humidity value of the copper plate smelting environment all day, acquiring an environment monitoring coefficient HJi around the smelting equipment through a formula, and comparing an environment monitoring coefficient HJi around the smelting equipment with an environment monitoring coefficient threshold; the casting environment is detected, so that unqualified copper plate casting due to environmental abnormality is effectively avoided, the percent of pass of the copper plate casting is improved, and the influence of the environment is reduced;
2. in the invention, the operation information of the copper plate smelting equipment is analyzed by the equipment detection unit, thereby detecting the copper plate smelting equipment, wherein the operation information of the copper plate smelting equipment comprises noise data, time length data and maintenance data, the noise data is the maximum decibel value of noise generated when the copper plate smelting equipment operates, the time length data is the ratio of the operation time length of the copper plate smelting equipment in the whole day to the shutdown time length, the maintenance data is the failure times of the copper plate smelting equipment in the whole day operation process, the maximum decibel value of the noise generated when the copper plate smelting equipment operates, the ratio of the operation time length of the copper plate smelting equipment in the whole day to the shutdown time length and the failure times of the copper plate smelting equipment in the whole day operation process are obtained, obtaining a detection coefficient Xi of the copper plate smelting equipment through a formula, and comparing the detection coefficient Xi of the copper plate smelting equipment with an equipment detection coefficient threshold value: if the copper plate smelting equipment detection coefficient Xi is larger than or equal to the equipment detection coefficient threshold value, judging that the corresponding smelting equipment is abnormal, generating an equipment abnormal signal and sending the equipment abnormal signal to the cloud management platform; if the detection coefficient Xi of the copper plate smelting equipment is smaller than the threshold value of the equipment detection coefficient, judging that the corresponding smelting equipment is detected normally, generating an equipment normal signal and sending the equipment normal signal to the cloud management platform; the detection is carried out on the casting equipment, so that the equipment is effectively prevented from breaking down in the operation process, the copper plate casting quality is improved, and the copper plate casting qualification is enhanced.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a casting system for smelting a regenerated copper plate comprises a cloud management platform, an environment monitoring unit, an equipment detection unit, a quality detection unit, a registration unit and a database;
the registration login unit is used for submitting manager information and maintainer information to register through mobile phone terminals by managers and maintainers, and sending the manager information and the maintainer information which are successfully registered to the database for storage, wherein the manager information is the name, the age, the time of entry and the mobile phone number of real name authentication of the manager, and the maintainer information is the name, the age, the time of entry and the mobile phone number of real name authentication of the maintainer;
the environment monitoring unit is used for analyzing casting environment information, the casting environment information includes temperature data, air data and humidity data, the temperature data is the difference of the maximum temperature and the minimum temperature all day in the copper smelting environment, the air data is the average flow velocity of the air all day in the copper smelting environment, the humidity data is the maximum humidity value all day in the copper smelting environment, the copper smelting equipment is marked as i, i is 1, 2, … …, n, n is a positive integer, and the specific analysis process is as follows:
step S1: acquiring the difference value between the maximum temperature and the minimum temperature of the copper plate smelting environment all day, and marking the difference value between the maximum temperature and the minimum temperature of the copper plate smelting environment all day as CZi;
step S2: acquiring the average air flow velocity of the whole day in the copper plate smelting environment, and marking the average air flow velocity of the whole day in the copper plate smelting environment as LDi;
step S3: acquiring the maximum humidity value of the copper plate smelting environment all day, and marking the maximum humidity value of the copper plate smelting environment all day as SDi;
step S4: by the formula
Obtaining an environmental monitoring coefficient HJi around the smelting equipment, wherein a1, a2 and a3 are all proportionality coefficients, and a1 is more than a2 is more than a3 is more than 0;
step S5: comparing an environment monitoring coefficient HJi around the smelting equipment with an environment monitoring coefficient threshold value:
if the environmental monitoring coefficient HJi around the smelting equipment is larger than or equal to the environmental monitoring coefficient threshold value, judging that the environmental monitoring around the smelting equipment is normal, generating an environmental normal signal and sending the environmental normal signal to the cloud management platform;
if the environmental monitoring coefficient HJi around the smelting equipment is smaller than the environmental monitoring coefficient threshold value, judging that the environmental monitoring around the smelting equipment is abnormal, generating an environmental abnormal signal and sending the environmental abnormal signal to the cloud management platform;
step S6: after receiving the environment abnormal signal, the cloud management platform generates an environment maintenance signal and sends the environment maintenance signal to a mobile phone terminal of a manager;
the equipment detecting element is used for analyzing the operation information of the copper plate smelting equipment, thereby detecting the copper plate smelting equipment, the operation information of the copper plate smelting equipment comprises noise data, time length data and maintenance data, the noise data is the maximum decibel value of noise generated when the copper plate smelting equipment operates, the time length data is the ratio of the time length of operation of the copper plate smelting equipment all day to the time length of shutdown, the maintenance data is the failure frequency of the copper plate smelting equipment all day in the operation process, and the specific analysis and detection process is as follows:
step SS 1: acquiring the maximum decibel value of noise generated by the copper plate smelting equipment during operation, and marking the maximum decibel value of the noise generated by the copper plate smelting equipment during operation as Fi;
step SS 2: acquiring the ratio of the operation time length of the copper plate smelting equipment to the shutdown time length of the copper plate smelting equipment all day, and marking the ratio of the operation time length of the copper plate smelting equipment to the shutdown time length of the copper plate smelting equipment all day as Bi;
step SS 3: acquiring the failure times of the copper plate smelting equipment in the whole-day operation process, and marking the failure times of the copper plate smelting equipment in the whole-day operation process as Gi;
step SS 4: by the formula Xi ═ (Fi × b1+ Bi × b2+ Gi × b3) eb1+b2+b3Obtaining a detection coefficient Xi of the copper plate smelting equipment, wherein b1, b2 and b3 are proportionality coefficients, b1 is greater than b2 and is greater than b3 and is a natural constant;
step SS 5: comparing the detection coefficient Xi of the copper plate smelting equipment with an equipment detection coefficient threshold value:
if the copper plate smelting equipment detection coefficient Xi is larger than or equal to the equipment detection coefficient threshold value, judging that the corresponding smelting equipment is abnormal, generating an equipment abnormal signal and sending the equipment abnormal signal to the cloud management platform;
if the detection coefficient Xi of the copper plate smelting equipment is smaller than the threshold value of the equipment detection coefficient, judging that the corresponding smelting equipment is detected normally, generating an equipment normal signal and sending the equipment normal signal to the cloud management platform;
step SS 6: after receiving the equipment abnormal signal, the cloud management platform generates an equipment maintenance signal and sends the equipment maintenance signal to a mobile phone terminal of a maintenance worker;
the quality detection unit is used for smelting quality information to the copper and analyzing to the quality detection to the copper detects, the copper is smelted quality information and is included tensile data, heat-resisting data and pressure data, tensile data is the biggest tensile strength that bears of copper after smelting, heat-resisting data is the critical temperature value of copper after smelting, pressure data is the biggest pressure value that bears of copper after smelting, copper mark after will smelting is o, o is 1, 2, … …, m, m is positive integer, the concrete analysis testing process as follows:
step T1: acquiring the maximum tensile strength of the smelted copper plate, and marking the maximum tensile strength of the smelted copper plate as Ko;
step T2: obtaining a critical temperature value of the smelted copper plate, and marking the critical temperature value of the smelted copper plate as Wo;
step T3: acquiring a maximum bearing pressure value of the smelted copper plate, and marking the maximum bearing pressure value of the smelted copper plate as Yo;
step T4: by the formula
Obtaining a quality detection coefficient Xo of the smelted copper plate, wherein v1, v2 and v3 are proportional coefficients, and v1 is more than v2 is more than v3 is more than 0;
step T5: comparing the quality detection coefficient Xo of the smelted copper plate with a quality detection coefficient threshold value:
if the quality detection coefficient Xo of the copper plate after smelting is larger than or equal to the quality detection coefficient threshold value, judging that the quality detection of the corresponding copper plate is qualified, generating a quality detection qualified signal and sending the quality detection qualified signal to the cloud management platform;
if the quality detection coefficient Xo of the copper plate after smelting is smaller than the quality detection coefficient threshold value, judging that the quality detection of the corresponding copper plate is unqualified, generating an unqualified quality detection signal and sending the unqualified quality detection signal to a cloud management platform;
step T6: and after receiving the unqualified quality detection signal, the cloud management platform generates a quality rectification signal and sends the quality rectification signal to a mobile phone terminal of a manager.
The working principle of the invention is as follows:
the utility model provides a casting system that regeneration copper smelted, at work, analyzes casting environment information through the environmental monitoring unit, marks copper smelting equipment as i, i become 1, 2, … …, n, n is the positive integer, and specific analytic process is as follows: obtaining the difference value between the maximum temperature and the minimum temperature of the copper plate smelting environment all day, the average air flow speed of the copper plate smelting environment all day and the maximum humidity value of the copper plate smelting environment all day, obtaining an environment monitoring coefficient HJi around the smelting equipment through a formula, and comparing the environment monitoring coefficient HJi around the smelting equipment with an environment monitoring coefficient threshold value.
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.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. A casting system for smelting a regenerated copper plate is characterized by comprising a cloud management platform, an environment monitoring unit, an equipment detection unit, a quality detection unit, a registration unit and a database;
the environment monitoring unit is used for analyzing casting environment information, the copper plate smelting equipment is marked as i, i is 1, 2, … …, n and n are positive integers, and the specific analysis process is as follows: obtaining the difference value between the maximum temperature and the minimum temperature of the copper plate smelting environment all day, the average air flow speed of the copper plate smelting environment all day and the maximum humidity value of the copper plate smelting environment all day, obtaining an environment monitoring coefficient HJi around the smelting equipment through a formula, and comparing the environment monitoring coefficient HJi around the smelting equipment with an environment monitoring coefficient threshold value.
2. The casting system for smelting the regenerated copper plate according to claim 1, wherein the equipment detection unit is used for analyzing the operation information of the copper plate smelting equipment so as to detect the copper plate smelting equipment, and the specific analysis and detection processes are as follows: the method comprises the steps of obtaining the maximum decibel value of noise generated when the copper plate smelting equipment operates, the ratio of the operation time of the copper plate smelting equipment in the whole day to the shutdown time of the copper plate smelting equipment and the number of times of faults occurring in the whole day operation process of the copper plate smelting equipment, obtaining a detection coefficient Xi of the copper plate smelting equipment through a formula, and comparing the detection coefficient Xi of the copper plate smelting equipment with an equipment detection coefficient threshold value.
3. The casting system for the smelting of the regenerated copper plate as claimed in claim 1, wherein the quality detection unit is used for analyzing the smelting quality information of the copper plate so as to detect the quality detection of the copper plate, and the smelted copper plate is marked as o, o is 1, 2, … …, m is a positive integer, and the specific analysis and detection process is as follows: the method comprises the steps of obtaining the maximum bearing tensile strength of a smelted copper plate, the critical temperature value of the smelted copper plate and the maximum bearing pressure value of the smelted copper plate, obtaining the quality detection coefficient Xo of the smelted copper plate through a formula, and comparing the quality detection coefficient Xo of the smelted copper plate with a quality detection coefficient threshold value.
4. The casting system for smelting a recycled copper plate according to claim 1, wherein the registration and login unit is used for a manager and a maintainer to submit manager information and maintainer information for registration through a mobile phone terminal, and to send the manager information and the maintainer information which are successfully registered to the database for storage, wherein the manager information is the name, age, time of employment and the mobile phone number for authenticating the real name of the manager, and the maintainer information is the name, age, time of employment and the mobile phone number for authenticating the real name of the maintainer.
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| CN116764261A (en) * | 2023-08-18 | 2023-09-19 | 济宁长胜新材料股份有限公司 | Execution safety supervision system for distillation flow |
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| CN116764261A (en) * | 2023-08-18 | 2023-09-19 | 济宁长胜新材料股份有限公司 | Execution safety supervision system for distillation flow |
| CN116764261B (en) * | 2023-08-18 | 2023-11-24 | 济宁长胜新材料股份有限公司 | Execution safety supervision system for distillation flow |
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