CN113487173A - Remote management system for alloy material processing - Google Patents
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- ATJFFYVFTNAWJD-UHFFFAOYSA-N Tin Chemical compound [Sn] ATJFFYVFTNAWJD-UHFFFAOYSA-N 0.000 description 1
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Abstract
The invention discloses a remote management system for alloy material processing, which relates to the technical field of remote management for processing and solves the technical problem that the processing efficiency is reduced because the alloy processing equipment cannot be subjected to fault detection in the prior art, the fault detection unit is used for analyzing the operation information of the alloy processing equipment so as to detect the fault of the alloy processing equipment, the analysis detection coefficient FXi of the alloy processing equipment is obtained through a formula, if the analysis detection coefficient FXi of the alloy processing equipment is larger than or equal to the analysis detection coefficient threshold value of the processing equipment, the corresponding processing equipment is judged to have a fault, and an equipment fault signal is generated and sent to a remote management platform; the fault diagnosis is carried out on the alloy material processing equipment, so that the working efficiency of total material processing is improved, and the management efficiency of a management system is improved.
Description
Technical Field
The invention relates to the technical field of remote management for processing, in particular to a remote management system for processing alloy materials.
Background
The alloy is a mixture with metal characteristics, which is synthesized by two or more metals and metals or nonmetals through a certain method. Typically by melting to a homogeneous liquid and solidifying. According to the number of constituent elements, binary alloys, ternary alloys, and multi-element alloys can be classified. Two or more metals are uniformly fused together by a certain process, namely, the metals are alloys, for example, brass consisting of copper and zinc, bronze consisting of copper and tin, cupronickel consisting of copper and nickel, and stainless steel is an alloy containing metals such as chromium, nickel and the like; with the subsequent spread of use of alloy materials, alloy materials have become an indispensable part.
However, in the prior art, the alloy material cannot detect the fault of the alloy processing equipment in the production process, so that the processing efficiency is reduced.
Disclosure of Invention
The invention aims to provide a remote management system for alloy material processing, which analyzes the operation information of alloy material processing equipment through a fault detection unit so as to detect faults of the alloy material processing equipment, obtains the rising speed of the operation temperature of the equipment during alloy material processing, the difference value between the decibel value of noise generated by the equipment during alloy material processing and the decibel value of labeled noise and the average daily maintenance frequency of the alloy material processing equipment, obtains an analysis detection coefficient FXi of the alloy material processing equipment through a formula, and compares the analysis detection coefficient FXi of the alloy material processing equipment with the analysis detection coefficient threshold of the processing equipment: if the analysis detection coefficient FXi of the alloy material processing equipment is not less than the analysis detection coefficient threshold of the processing equipment, judging that the corresponding processing equipment has a fault, generating an equipment fault signal and sending the equipment fault signal to a remote management platform; if the analysis detection coefficient FXi of the alloy material processing equipment is smaller than the analysis detection coefficient threshold of the processing equipment, judging that no fault exists in the corresponding processing equipment, generating an equipment normal signal and sending the equipment normal signal to a remote management platform; the fault diagnosis is carried out on the alloy material processing equipment, so that the working efficiency of total material processing is improved, and the management efficiency of a management system is improved.
The purpose of the invention can be realized by the following technical scheme:
a remote management system for alloy material processing comprises an environment detection unit, a fault detection unit, a maintenance distribution unit, a construction period prediction unit, a remote management platform, a registration unit and a database;
the fault detection unit is used for analyzing the operation information of alloy material processing equipment, thereby carry out fault detection to alloy material processing equipment, the operation information of alloy material processing equipment includes temperature data, noise data and maintenance number of times, temperature data is the ascending speed of equipment operating temperature when alloy material processing, noise data is the difference of equipment production noise decibel value and mark noise decibel value when alloy material processing, the maintenance number of times is the average maintenance number of times every day of alloy material processing equipment, mark alloy material processing equipment as i, i is 1, 2, … …, n, n is the positive integer, the concrete analysis testing process is as follows:
step S1: acquiring the rising speed of the operating temperature of the equipment during alloy material processing, and marking the rising speed of the operating temperature of the equipment during alloy material processing as SDi;
step S2: acquiring the difference value between the decibel value of the noise generated by equipment and the decibel value of the marked noise during the alloy material processing, and marking the difference value between the decibel value of the noise generated by the equipment and the decibel value of the marked noise as CZi;
step S3: obtaining the average maintenance times per day of the alloy material processing equipment, and marking the average maintenance times per day of the alloy material processing equipment as Wxi;
step S4: by the formula
Obtaining an analysis detection coefficient FXi of alloy material processing equipment, wherein a1, a2 and a3 are proportional coefficients, a1 is larger than a2 and larger than a3 and larger than 0, and beta is an error correction factor and is 2.3021142;
step S5: comparing the analysis detection coefficient FXi of the alloy material processing equipment with the analysis detection coefficient threshold of the processing equipment:
if the analysis detection coefficient FXi of the alloy material processing equipment is not less than the analysis detection coefficient threshold of the processing equipment, judging that the corresponding processing equipment has a fault, generating an equipment fault signal and sending the equipment fault signal to a remote management platform;
and if the analysis detection coefficient FXi of the alloy material processing equipment is smaller than the analysis detection coefficient threshold of the processing equipment, judging that the corresponding processing equipment has no fault, generating an equipment normal signal and sending the equipment normal signal to the remote management platform.
Further, after equipment fault signal was received to the remote management platform, generate the environment detected signal and send the environment detected signal to the environment detecting element, the environment detecting element is used for carrying out the analysis to alloy material's processing environment information to detect the processing environment, processing environment information includes velocity data, humidity data and dust data, and velocity data is the average velocity of flow of air in the alloy material processing equipment week edge border, and humidity data is the average humidity of whole day in the alloy material processing equipment week edge border, and dust data is the dust content in the alloy material processing equipment week edge border, and concrete analysis testing process is as follows:
step SS 1: acquiring the average flow velocity of air in the surrounding environment of the alloy material processing equipment, and marking the average flow velocity of the air in the surrounding environment of the alloy material processing equipment as Vi;
step SS 2: acquiring the average humidity of the alloy material processing equipment in the surrounding environment, and marking the average humidity of the alloy material processing equipment in the surrounding environment as Si;
step SS 3: acquiring the dust content in the surrounding environment of the alloy material processing equipment, and marking the dust content in the surrounding environment of the alloy material processing equipment as Ci;
step SS 4: by the formula HJi ═ e (Vi × b1+ Si × b2+ Ci × b3)b1+b2+b3Obtaining a detection coefficient HJi of the surrounding environment of the alloy material processing equipment, wherein b1, b2 and b3 are proportional coefficients, b1 is more than b2 is more than b3 is more than 0, and e is a natural constant;
step SS 5: comparing the alloy material processing equipment peripheral environment detection coefficient HJi with a processing equipment peripheral environment detection coefficient threshold value:
if the peripheral environment detection coefficient HJi of the alloy material processing equipment is larger than or equal to the peripheral environment detection coefficient threshold of the processing equipment, judging that the peripheral environment detection of the corresponding processing equipment is abnormal, generating an environment abnormal signal and sending the environment abnormal signal to the remote management platform;
and if the detection coefficient HJi of the peripheral environment of the alloy material processing equipment is less than the threshold value of the detection coefficient of the peripheral environment of the processing equipment, judging that the detection of the peripheral environment of the corresponding processing equipment is normal, generating a normal environment signal and sending the normal environment signal to the remote management platform.
Further, the maintenance distribution unit is used for reasonably distributing maintenance personnel to the equipment with faults in the alloy material processing, and the specific distribution process is as follows:
step T1: marking equipment with faults in the alloy material processing as fault processing equipment, marking the fault processing equipment as o, o being 1, 2, … …, m and m being positive integers, then acquiring the total number and frequency of faults of the fault processing equipment, and then respectively marking the total number and frequency of faults of the fault processing equipment as CSo and PLo;
step T2: obtaining a fault coefficient Xo of the fault processing equipment through a formula Xo-CSo × c1+ PLo × c2, wherein c1 and c2 are proportional coefficients, and c1 > c2 > 0, and then comparing the fault coefficient Xo of the fault processing equipment with a fault coefficient threshold value: if the fault coefficient Xo of the fault processing equipment is larger than or equal to the fault coefficient threshold value, marking the corresponding fault processing equipment as primary fault equipment; if the fault coefficient Xo of the fault processing equipment is less than the fault coefficient threshold value, marking the corresponding fault processing equipment as secondary fault equipment;
step T3: marking a maintainer as p, wherein p is 1, 2, … …, k is a positive integer, acquiring the attendance time of the maintainer, then comparing the attendance time of the maintainer with the current system time to acquire the attendance time Tp of the maintainer, then acquiring the total maintenance times of the maintainer within the attendance time, and marking the total maintenance times as Cp;
step T4: obtaining a grade coefficient Xp of a maintenance person through a formula of Tp × c3+ Cp × c4, wherein c3 and c4 are proportional coefficients, and c3 > c4 > 0, and then comparing the grade coefficient Xp of the maintenance person with a grade coefficient threshold value: if the grade coefficient Xp of the maintenance personnel is larger than or equal to the grade coefficient threshold, marking the corresponding maintenance personnel as first-grade maintenance personnel; if the grade coefficient Xp of the maintenance personnel is smaller than the grade coefficient threshold, marking the corresponding maintenance personnel as second-grade maintenance personnel;
step T5: and matching the fault processing equipment with maintenance personnel according to the grade.
Further, the construction period prediction unit is used for predicting the construction period of the alloy material processing so as to determine the completion time of the alloy material, and the specific prediction determination process is as follows:
step TT 1: the method comprises the following steps of obtaining an order of the alloy materials, dividing a processed order and an unprocessed order, then obtaining the quantity of the unfinished alloy materials in the processed order, then comparing according to the current fastest processing speed, obtaining the predicted processing time length of the unfinished alloy materials in the processed order, then obtaining the remaining time length of the construction period, and comparing the remaining time length of the construction period with the predicted processing time length of the total materials: if the remaining duration of the construction period is not less than the expected processing duration of the total materials, judging that the corresponding order in processing can be completed; if the remaining duration of the construction period is less than the expected processing duration of the total materials, judging that the corresponding order in processing cannot be completed;
step TT 2: obtaining the quantity of alloy materials in an unprocessed order, then comparing according to the current fastest processing speed to obtain the estimated working hours spent on the unprocessed order, then obtaining the estimated processing duration of the current processed order, then adding the estimated working hours spent and the estimated processing duration of the processed order to obtain the total time spent on the unprocessed order, and then comparing the total time spent on the unprocessed order with the time duration of the unprocessed order: if the total time consumption of the unprocessed orders is more than or equal to the construction period of the unprocessed orders, judging that the unprocessed orders cannot be completed; and if the total time consumption of the unprocessed orders is less than the time limit of the construction period of the unprocessed orders, judging that the unprocessed orders can be completed.
Further, the registration login unit is used for the manager and the maintenance personnel to submit the manager information and the maintenance personnel information through the mobile phone terminals, and the manager information and the maintenance personnel information which are successfully registered are sent to the database to be stored, the manager information comprises the name, the age, the time of entry and the mobile phone number of the real name authentication of the manager, and the maintenance personnel information comprises the name, the age, the time of entry and the mobile phone number of the real name authentication of the person.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the running information of the alloy material processing equipment is analyzed through a fault detection unit, so that the fault detection is carried out on the alloy material processing equipment, the rising speed of the running temperature of the equipment during alloy material processing, the difference value of the noise decibel value generated by the equipment during alloy material processing and the labeled noise decibel value and the average maintenance frequency of the alloy material processing equipment every day are obtained, the analysis detection coefficient FXi of the alloy material processing equipment is obtained through a formula, and the analysis detection coefficient FXi of the alloy material processing equipment is compared with the analysis detection coefficient threshold of the processing equipment: if the analysis detection coefficient FXi of the alloy material processing equipment is not less than the analysis detection coefficient threshold of the processing equipment, judging that the corresponding processing equipment has a fault, generating an equipment fault signal and sending the equipment fault signal to a remote management platform; if the analysis detection coefficient FXi of the alloy material processing equipment is smaller than the analysis detection coefficient threshold of the processing equipment, judging that no fault exists in the corresponding processing equipment, generating an equipment normal signal and sending the equipment normal signal to a remote management platform; the fault diagnosis is carried out on the alloy material processing equipment, so that the working efficiency of total material processing is improved, and the management efficiency of a management system is improved;
2. in the invention, maintenance personnel are reasonably distributed to equipment with faults in alloy material processing through a maintenance distribution unit, then the total number of times and frequency of faults of the fault processing equipment are obtained, the fault coefficient Xo of the fault processing equipment is obtained through a formula, and if the fault coefficient Xo of the fault processing equipment is more than or equal to a fault coefficient threshold value, the corresponding fault processing equipment is marked as primary fault equipment; if the fault coefficient Xo of the fault processing equipment is less than the fault coefficient threshold value, marking the corresponding fault processing equipment as secondary fault equipment; acquiring the attendance time of a maintainer, then comparing the attendance time of the maintainer with the current time of the system to acquire the attendance time Tp of the maintainer, then acquiring the total maintenance times of the maintainer within the attendance time, acquiring a grade coefficient Xp of the maintainer through a formula, and if the grade coefficient Xp of the maintainer is more than or equal to a grade coefficient threshold, marking the corresponding maintainer as a first-grade maintainer; if the grade coefficient Xp of the maintenance personnel is smaller than the grade coefficient threshold, marking the corresponding maintenance personnel as second-grade maintenance personnel; matching fault processing equipment with maintenance personnel according to grades; maintenance personnel are reasonably distributed to the fault equipment, the working efficiency of equipment fault maintenance is improved, the influence of equipment faults on processing is reduced, and the phenomenon of maintenance rework of the maintenance personnel is also prevented.
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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 remote management system for alloy material processing includes an environment detection unit, a failure detection unit, a maintenance allocation unit, a construction period prediction unit, a remote management platform, a registration unit, and a database;
the registration login unit is used for submitting manager information and maintenance personnel information through mobile phone terminals by managers and maintenance personnel, and sending the manager information and the maintenance personnel information which are successfully registered to the database for storage, wherein the manager information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the manager, and the maintenance personnel information comprises the name, the age, the time of entry and the mobile phone number of real name authentication of the manager;
the fault detection unit is used for analyzing the operation information of alloy material processing equipment, thereby carry out fault detection to alloy material processing equipment, the operation information of alloy material processing equipment includes temperature data, noise data and maintenance number of times, temperature data is the ascending speed of equipment operating temperature when the alloy material adds man-hour, noise data is the difference of equipment production noise decibel value and mark noise decibel value when the alloy material adds man-hour, the maintenance number of times is the average maintenance number of times every day of alloy material processing equipment, mark alloy material processing equipment as i, i is 1, 2, … …, n, n is the positive integer, the concrete analysis testing process is as follows:
step S1: acquiring the rising speed of the operating temperature of the equipment during alloy material processing, and marking the rising speed of the operating temperature of the equipment during alloy material processing as SDi;
step S2: acquiring the difference value between the decibel value of the noise generated by equipment and the decibel value of the marked noise during the alloy material processing, and marking the difference value between the decibel value of the noise generated by the equipment and the decibel value of the marked noise as CZi;
step S3: obtaining the average maintenance times per day of the alloy material processing equipment, and marking the average maintenance times per day of the alloy material processing equipment as Wxi;
step S4: by the formula
Obtaining an analysis detection coefficient FXi of alloy material processing equipment, wherein a1, a2 and a3 are proportional coefficients, a1 is larger than a2 and larger than a3 and larger than 0, and beta is an error correction factor and is 2.3021142;
step S5: comparing the analysis detection coefficient FXi of the alloy material processing equipment with the analysis detection coefficient threshold of the processing equipment:
if the analysis detection coefficient FXi of the alloy material processing equipment is not less than the analysis detection coefficient threshold of the processing equipment, judging that the corresponding processing equipment has a fault, generating an equipment fault signal and sending the equipment fault signal to a remote management platform;
if the analysis detection coefficient FXi of the alloy material processing equipment is smaller than the analysis detection coefficient threshold of the processing equipment, judging that no fault exists in the corresponding processing equipment, generating an equipment normal signal and sending the equipment normal signal to a remote management platform;
after remote management platform received equipment trouble signal, generate environment detected signal and send environment detected signal to environment detecting element, environment detecting element is used for carrying out the analysis to alloy material's processing environment information, thereby detect the processing environment, processing environment information includes velocity data, humidity data and dust data, velocity data is the average velocity of flow of air in the alloy material processing equipment all ring edge borders, humidity data is the average humidity of all day in the alloy material processing equipment all ring edge borders, dust data is the dust content in the alloy material processing equipment all ring edge borders, the concrete analysis testing process is as follows:
step SS 1: acquiring the average flow velocity of air in the surrounding environment of the alloy material processing equipment, and marking the average flow velocity of the air in the surrounding environment of the alloy material processing equipment as Vi;
step SS 2: acquiring the average humidity of the alloy material processing equipment in the surrounding environment, and marking the average humidity of the alloy material processing equipment in the surrounding environment as Si;
step SS 3: acquiring the dust content in the surrounding environment of the alloy material processing equipment, and marking the dust content in the surrounding environment of the alloy material processing equipment as Ci;
step SS 4: by the formula HJi ═ e (Vi × b1+ Si × b2+ Ci × b3)b1+b2+b3Obtaining a detection coefficient HJi of the surrounding environment of the alloy material processing equipment, wherein b1, b2 and b3 are proportional coefficients, b1 is more than b2 is more than b3 is more than 0, and e is a natural constant;
step SS 5: comparing the alloy material processing equipment peripheral environment detection coefficient HJi with a processing equipment peripheral environment detection coefficient threshold value:
if the peripheral environment detection coefficient HJi of the alloy material processing equipment is larger than or equal to the peripheral environment detection coefficient threshold of the processing equipment, judging that the peripheral environment detection of the corresponding processing equipment is abnormal, generating an environment abnormal signal and sending the environment abnormal signal to the remote management platform;
if the detection coefficient HJi of the peripheral environment of the alloy material processing equipment is smaller than the threshold value of the detection coefficient of the peripheral environment of the processing equipment, judging that the detection of the peripheral environment of the corresponding processing equipment is normal, generating a normal environment signal and sending the normal environment signal to the remote management platform;
the maintenance distribution unit is used for reasonably distributing maintenance personnel to the equipment with failure in the alloy material processing, and the specific distribution process is as follows:
step T1: marking equipment with faults in the alloy material processing as fault processing equipment, marking the fault processing equipment as o, o being 1, 2, … …, m and m being positive integers, then acquiring the total number and frequency of faults of the fault processing equipment, and then respectively marking the total number and frequency of faults of the fault processing equipment as CSo and PLo;
step T2: obtaining a fault coefficient Xo of the fault processing equipment through a formula Xo-CSo × c1+ PLo × c2, wherein c1 and c2 are proportional coefficients, and c1 > c2 > 0, and then comparing the fault coefficient Xo of the fault processing equipment with a fault coefficient threshold value: if the fault coefficient Xo of the fault processing equipment is larger than or equal to the fault coefficient threshold value, marking the corresponding fault processing equipment as primary fault equipment; if the fault coefficient Xo of the fault processing equipment is less than the fault coefficient threshold value, marking the corresponding fault processing equipment as secondary fault equipment;
step T3: marking a maintainer as p, wherein p is 1, 2, … …, k is a positive integer, acquiring the attendance time of the maintainer, then comparing the attendance time of the maintainer with the current system time to acquire the attendance time Tp of the maintainer, then acquiring the total maintenance times of the maintainer within the attendance time, and marking the total maintenance times as Cp;
step T4: obtaining a grade coefficient Xp of a maintenance person through a formula of Tp × c3+ Cp × c4, wherein c3 and c4 are proportional coefficients, and c3 > c4 > 0, and then comparing the grade coefficient Xp of the maintenance person with a grade coefficient threshold value: if the grade coefficient Xp of the maintenance personnel is larger than or equal to the grade coefficient threshold, marking the corresponding maintenance personnel as first-grade maintenance personnel; if the grade coefficient Xp of the maintenance personnel is smaller than the grade coefficient threshold, marking the corresponding maintenance personnel as second-grade maintenance personnel;
step T5: matching fault processing equipment with maintenance personnel according to grades;
the construction period prediction unit is used for predicting the construction period of alloy material processing so as to determine the completion time of the alloy material, and the specific prediction and determination process is as follows:
step TT 1: the method comprises the following steps of obtaining an order of the alloy materials, dividing a processed order and an unprocessed order, then obtaining the quantity of the unfinished alloy materials in the processed order, then comparing according to the current fastest processing speed, obtaining the predicted processing time length of the unfinished alloy materials in the processed order, then obtaining the remaining time length of the construction period, and comparing the remaining time length of the construction period with the predicted processing time length of the total materials: if the remaining duration of the construction period is not less than the expected processing duration of the total materials, judging that the corresponding order in processing can be completed; if the remaining duration of the construction period is less than the expected processing duration of the total materials, judging that the corresponding order in processing cannot be completed;
step TT 2: obtaining the quantity of alloy materials in an unprocessed order, then comparing according to the current fastest processing speed to obtain the estimated working hours spent on the unprocessed order, then obtaining the estimated processing duration of the current processed order, then adding the estimated working hours spent and the estimated processing duration of the processed order to obtain the total time spent on the unprocessed order, and then comparing the total time spent on the unprocessed order with the time duration of the unprocessed order: if the total time consumption of the unprocessed orders is more than or equal to the construction period of the unprocessed orders, judging that the unprocessed orders cannot be completed; and if the total time consumption of the unprocessed orders is less than the time limit of the construction period of the unprocessed orders, judging that the unprocessed orders can be completed.
The working principle of the invention is as follows:
the utility model provides an alloy material processing uses remote management system, at the during operation, carry out the analysis to the operation information of alloy material processing equipment through the fault detection unit, thereby carry out fault detection to alloy material processing equipment, obtain alloy material processing equipment operating temperature's during add speed of rise, the difference of equipment production noise decibel value and mark noise decibel value and the average maintenance number of times every day of alloy material processing equipment during add, obtain the analysis and detection coefficient FXi of alloy material processing equipment through the formula, compare the analysis and detection coefficient FXi of alloy material processing equipment and the analysis and detection coefficient threshold value of processing equipment: if the analysis detection coefficient FXi of the alloy material processing equipment is not less than the analysis detection coefficient threshold of the processing equipment, judging that the corresponding processing equipment has a fault, generating an equipment fault signal and sending the equipment fault signal to a remote management platform; and if the analysis detection coefficient FXi of the alloy material processing equipment is smaller than the analysis detection coefficient threshold of the processing equipment, judging that the corresponding processing equipment has no fault, generating an equipment normal signal and sending the equipment normal signal to the remote management platform.
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 remote management system for alloy material processing is characterized by comprising an environment detection unit, a fault detection unit, a maintenance distribution unit, a construction period prediction unit, a remote management platform, a registration unit and a database;
the fault detection unit is used for analyzing the operation information of the alloy material processing equipment so as to detect faults of the alloy material processing equipment, the operation information of the alloy material processing equipment comprises temperature data, noise data and maintenance times, the rise speed of the operation temperature of the equipment during alloy material processing, the difference value of the noise decibel value generated by the equipment during alloy material processing and the labeled noise decibel value and the average daily maintenance times of the alloy material processing equipment are obtained, and the corresponding marks are SDi, CZI and WXi; and obtaining an analysis detection coefficient FXi of the alloy material processing equipment through a formula, and comparing the analysis detection coefficient FXi of the alloy material processing equipment with an analysis detection coefficient threshold of the processing equipment.
2. The remote management system for alloy material processing as claimed in claim 1, wherein the remote management platform generates an environment detection signal and sends the environment detection signal to the environment detection unit after receiving the device fault signal, the environment detection unit is configured to analyze the processing environment information of the alloy material, so as to detect the processing environment, and the specific analysis and detection process is as follows: acquiring the average flow speed of air in the surrounding environment of the alloy material processing equipment, the average humidity of the whole day in the surrounding environment of the alloy material processing equipment and the dust content in the surrounding environment of the alloy material processing equipment, and correspondingly marking the dust content as Vi, Si and Ci; the detection coefficient HJi of the peripheral environment of the alloy material processing equipment is obtained through a formula, and the detection coefficient HJi of the peripheral environment of the alloy material processing equipment is compared with the threshold value of the detection coefficient of the peripheral environment of the processing equipment.
3. The remote management system for alloy material processing according to claim 1, wherein the maintenance allocation unit is configured to reasonably allocate maintenance personnel to equipment with a fault in alloy material processing, and the allocation process is as follows: marking equipment with faults in the alloy material processing as fault processing equipment, then acquiring the total number and frequency of faults of the fault processing equipment, acquiring a fault coefficient Xo of the fault processing equipment through a formula, and then comparing the fault coefficient Xo of the fault processing equipment with a fault coefficient threshold value: grading fault processing equipment; marking a maintenance person as p, wherein p is 1, 2, … …, k, k is a positive integer, acquiring the total times of maintenance of the maintenance person within the working duration, acquiring a grade coefficient Xp of the maintenance person through a formula, and then comparing the grade coefficient Xp of the maintenance person with a grade coefficient threshold value: and (4) grading the maintenance personnel, and then matching the fault processing equipment with the maintenance personnel according to the grade.
4. The remote management system for alloy material processing according to claim 1, wherein the construction period prediction unit is configured to predict a construction period of alloy material processing, so as to determine the completion time of the alloy material, and the specific prediction determination process is as follows:
step TT 1: the method comprises the following steps of obtaining an order of the alloy materials, dividing a processed order and an unprocessed order, then obtaining the quantity of the unfinished alloy materials in the processed order, then comparing according to the current fastest processing speed, obtaining the predicted processing time length of the unfinished alloy materials in the processed order, then obtaining the remaining time length of the construction period, and comparing the remaining time length of the construction period with the predicted processing time length of the total materials: if the remaining duration of the construction period is not less than the expected processing duration of the total materials, judging that the corresponding order in processing can be completed; if the remaining duration of the construction period is less than the expected processing duration of the total materials, judging that the corresponding order in processing cannot be completed;
step TT 2: the method comprises the steps of obtaining the quantity of alloy materials in an unprocessed order, then comparing the quantity of the alloy materials according to the current fastest processing speed to obtain the estimated time spent on the unprocessed order, then obtaining the estimated processing time duration of the current processed order, then adding the estimated time spent and the estimated processing time duration of the processed order to obtain the total time spent on the unprocessed order, and then comparing the total time spent on the unprocessed order with the time duration of the unprocessed order.
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| CN114063507A (en) * | 2021-10-25 | 2022-02-18 | 合肥创农生物科技有限公司 | Remote equipment control system based on intelligent agriculture and control method thereof |
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| CN114063507A (en) * | 2021-10-25 | 2022-02-18 | 合肥创农生物科技有限公司 | Remote equipment control system based on intelligent agriculture and control method thereof |
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Application publication date: 20211008 |