CN112184065B - Intelligent manufacturing system and method based on industrial Internet - Google Patents
Intelligent manufacturing system and method based on industrial Internet Download PDFInfo
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- G06Q10/06316—Sequencing of tasks or work
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- 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
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- 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
- Y02P90/80—Management or planning
Abstract
The invention discloses an intelligent manufacturing system and method based on an industrial internet, in particular to the technical field of intelligent manufacturing, and solves the technical problem that the industrial internet in the prior art cannot reasonably carry out predictive maintenance on industrial equipment; the equipment is subjected to predictive maintenance, so that the risk of equipment failure is reduced, and the maintenance cost is reduced; the survey personnel are rationally distributed, the actual cost is reduced, the workload of the survey personnel is reduced, and the working efficiency is improved.
Description
Technical Field
The invention relates to the technical field of intelligent manufacturing, in particular to an intelligent manufacturing system and method based on industrial internet.
Background
Along with the development of social economy, people pay more and more attention to the urban traffic condition. In the face of increasing automobiles and increasing traffic in large and medium-sized cities, related departments carry out a great deal of investigation and research, and finally realize that the management of static traffic is also enhanced while the improvement investment and management of dynamic traffic are increased, so that a habitation place for homeless automobiles is provided. With the occurrence of the parking difficulty, huge business opportunities and wide markets are brought to the mechanical parking equipment industry. When the business opportunity and the competition coexist, the mechanical parking equipment industry of China also enters a stable development stage from a rapid development stage; the essence and core of the industrial internet is that the equipment, production lines, factories, suppliers, products and customers are tightly connected and converged through an industrial internet platform. The method can help the manufacturing industry to elongate an industrial chain, and form cross-equipment, cross-system, cross-factory and cross-regional interconnection and intercommunication, thereby improving the efficiency and promoting the intellectualization of the whole manufacturing service system. The method is also beneficial to promoting the melting development of the manufacturing industry, realizing the crossing development between the manufacturing industry and the service industry and efficiently sharing various key resources of the industrial economy.
However, in the prior art, predictive maintenance of industrial equipment cannot be reasonably performed in an intelligent manufacturing industrial internet, so that the working intensity of maintenance personnel is high, and the working efficiency is reduced.
Disclosure of Invention
The invention aims to provide an intelligent manufacturing system based on an industrial internet.A manager sends the position of a site to be surveyed to a cloud manufacturing platform through a mobile phone terminal, reasonably distributes the personnel to be surveyed on the site by analyzing site environment information, obtains the distribution coefficient of preselected personnel through a formula, marks the preselected personnel with the highest distribution coefficient as selected personnel, marks the preselected personnel corresponding to the second sequenced distribution coefficient as alternative personnel, and then sends the position to be surveyed to the selected personnel and the mobile phone terminal of the alternative personnel; the survey personnel are rationally distributed, the actual cost is reduced, the workload of the survey personnel is reduced, and the working efficiency is improved.
The purpose of the invention can be realized by the following technical scheme:
an intelligent manufacturing system based on an industrial internet comprises a cloud manufacturing platform, a survey distribution unit, a material selection unit, a production management unit, an equipment maintenance unit, a registration login unit and a database;
the production management unit is used for managing the production process of the mechanical parking space, and the specific management process is as follows:
l1: the method comprises the steps that surveying of a site to be surveyed is carried out by a surveying staff, the site is drawn into a drawing by drawing software and is marked as a design scheme diagram, the type of a mechanical parking space is determined according to the area of the site divided mechanical parking spaces, the required quantity of steel is determined according to the type of the mechanical parking space, then the required quantity of the steel is sent to a cloud manufacturing platform, and sending time is recorded and sent to a database for storage;
l2: after the steel is purchased, setting the estimated completion time, then carrying out steel processing production, obtaining the amount of unprocessed steel and the amount of processed steel in real time, and respectively and correspondingly marking the amounts as WG and GG;
l3: if the quantity WG of the unprocessed steel is less than the quantity WG of the residual steel required for finishing production, judging that the quantity of the unprocessed steel does not meet production, generating a steel purchasing signal, sending the steel purchasing signal to a mobile phone terminal of a manager, simultaneously recording purchasing time and sending the purchasing time to a database for storage, and if the quantity GG of the processed steel is greater than the limit value of the storage quantity of the warehouse, generating a delivery signal and sending the delivery signal to the mobile phone terminal of the manager.
Furthermore, the registration login unit is used for the manager and the surveyor to submit the manager data and the surveyor data through the mobile phone terminal for registration, and send the manager data and the surveyor data which are successfully registered to the database for storage, meanwhile, the cloud manufacturing platform generates a login account and sends the login account to the mobile phone terminals of the manager and the surveyor, the manager data comprise the name, the work number, the age, the time of entry and the mobile phone number of real name authentication of the manager, and the surveyor data comprise the name, the work number, the age, the time of entry and the mobile phone number of real name authentication of the surveyor.
Further, the survey distribution unit is used for analyzing field environment information and reasonably distributing personnel for field survey, the field environment information comprises temperature data, dust content and space data, the temperature data represents the difference between the highest temperature and the lowest temperature of the whole day of the site to be surveyed, the dust content represents the dust content in the air of the site to be surveyed, the space data represents the sum of the areas of the site to be surveyed for dividing the mechanical parking spaces, and the specific analysis distribution process comprises the following steps:
s1, the manager sends the position of the site to be surveyed to the cloud manufacturing platform through the mobile phone terminal, and after receiving the position of the site to be surveyed, the cloud manufacturing platform generates a surveying demand signal and sends the surveying demand signal to the surveying distribution unit;
s2, acquiring the difference between the highest temperature and the lowest temperature of the site to be surveyed all day long, and marking the difference between the highest temperature and the lowest temperature of the site to be surveyed all day long as Wi, i is 1, 2,. once.n;
s3, acquiring the dust content in the air of the site to be surveyed, and marking the dust content in the air of the site to be surveyed as Hi;
s4, acquiring the area sum of the mechanical parking spaces divided on the site to be surveyed, and marking the area sum of the mechanical parking spaces divided on the site to be surveyed as Mi;
s5, passing formula
Acquiring survey coefficients Xi of a site to be surveyed, wherein c1, c2 and c3 are preset proportionality coefficients, c1 is larger than c2 is larger than c3 is larger than 0, and beta is an error correction factor;
s6, the cloud manufacturing platform counts idle survey staff and marks the idle survey staff as preselection staff, then the geographical position where the preselection staff is located is obtained according to the mobile phone positioning of the preselection staff, the distance between the position where the preselection staff is located and a site to be surveyed and the time spent on arrival are obtained through internet map query, and the distance between the position where the preselection staff is located and the site to be surveyed and the time spent on arrival are correspondingly marked as JLO and SCo, wherein O is 1, 2;
s7, passing formula
Obtaining distribution coefficients Xo of preselected personnel, wherein a1 and a2 are preset proportionality coefficients, sequencing the distribution coefficients Xo of the preselected personnel from high to low, marking the preselected personnel with the highest distribution coefficient as selected personnel, marking the preselected personnel corresponding to the second sequenced distribution coefficient as candidate personnel, and then sending the position to be surveyed to the selected personnel and mobile phone terminals of the candidate personnel.
Further, the material selection unit is configured to select a supplier of the material by analyzing merchant data, where the merchant data includes a number of times of cooperation of the supplier, a quality guarantee amount of the supplier, and a number of times of bad comments received by the supplier, and the specific analysis and selection process includes:
SS 1: acquiring the cooperation times of suppliers, and marking the cooperation times of the suppliers as Hm, wherein m is 1, 2, a.
SS 2: acquiring the quality guarantee amount of a supplier home, and marking the quality guarantee amount of the supplier home as Jm;
SS 3: acquiring the poor evaluation times received by a supplier, and marking the poor evaluation times received by the supplier as Cm;
SS 4: by the formula
Obtaining a selection coefficient Bm of a supplier, wherein s1, s2 and s3 are all preset proportionality coefficients, and s1 is greater than s2 is greater than s3 is greater than 0;
SS 5: comparing the selection coefficient Bm of the supplier with a selection coefficient threshold:
if the selection coefficient Bm of the supplier is larger than or equal to the selection coefficient threshold value, judging that the supplier is suitable for cooperation, generating a suitable signal and sending the suitable signal to a cloud manufacturing platform, logging in the cloud manufacturing platform by a manager through a mobile phone terminal for inquiry, and marking the supplier with the highest selection coefficient as a cooperation supplier;
and if the selection coefficient Bm of the supplier is less than the selection coefficient threshold value, judging that the supplier is not suitable for cooperation, generating an unsuitable signal and transmitting the suitable signal to the cloud manufacturing platform, marking the supplier as a blackened supplier after the cloud manufacturing platform receives the unsuitable signal, and transmitting the blackened supplier to the database for storage.
Further, the device maintenance unit is configured to analyze usage data of the device, and perform predictive maintenance on the device, where the usage data includes an overload usage number of the mechanical parking device, an overload weight, and an average humidity value of an environment where the mechanical parking device is located, and the specific analysis process is as follows:
t1: acquiring the overload use times of the mechanical parking equipment, and marking the overload use times of the mechanical parking equipment as Cw;
t2: acquiring the overload weight of the mechanical parking equipment, and marking the overload weight of the mechanical parking equipment as Zw;
t3: acquiring an average humidity value of the environment where the mechanical parking equipment is located, and marking the average humidity value of the environment where the mechanical parking equipment is located as Sw;
t4: by the formula
Acquiring a prediction maintenance coefficient Yw of the equipment, wherein b1, b2 and b3 are all preset proportional coefficients, and b1 is greater than b2 and greater than b3 is greater than 0;
t5: comparing the prediction maintenance coefficient Yw of the device with a prediction maintenance coefficient threshold:
if the predicted maintenance coefficient Yw of the equipment is larger than or equal to the predicted maintenance coefficient threshold value, judging that the equipment is in a good state, generating a maintenance-unnecessary signal and sending the maintenance-unnecessary signal to a mobile phone terminal of a manager;
and if the predicted maintenance coefficient Yw of the equipment is less than the predicted maintenance coefficient threshold value, judging that the equipment is in a general state, generating a signal needing maintenance, and sending the signal needing maintenance to a mobile phone terminal of a manager.
An intelligent manufacturing method based on industrial internet, a manufacturing method of mechanical parking equipment comprises the following steps:
step one, surveying: the method comprises the steps that a manager sends the position of a site to be surveyed to a cloud manufacturing platform through a mobile phone terminal, reasonably distributes personnel to be surveyed on the site through analyzing site environment information, obtains distribution coefficients of preselected personnel through a formula, marks the preselected personnel with the highest distribution coefficient as selected personnel, marks the preselected personnel corresponding to the second-ordered distribution coefficient as alternative personnel, and then sends the position to be surveyed to the selected personnel and mobile phone terminals of the alternative personnel;
step two, material selection: the data of merchants are analyzed through a material selection unit, suppliers of materials are selected, the selection coefficient of the suppliers is obtained through a formula, if the selection coefficient Bm of the suppliers is larger than or equal to the selection coefficient threshold value, the suppliers are judged to be suitable for cooperation, appropriate signals are generated and sent to a cloud manufacturing platform, managers log in the cloud manufacturing platform through mobile phone terminals to inquire, and the supplier with the highest selection coefficient is marked as a cooperation supplier;
step three, production and installation: the method comprises the steps that surveying of a site to be surveyed is carried out by a surveying staff, the site is drawn into a drawing by drawing software, the type of a mechanical parking space is determined according to the area of the site divided mechanical parking space, the required quantity of steel is determined according to the type of the mechanical parking space, then the required quantity of the steel is sent to a cloud manufacturing platform, the quantity of unprocessed steel and the quantity of the processed steel are obtained in real time, if the quantity of the unprocessed steel is less than the required quantity of the residual steel, it is judged that the quantity of the unprocessed steel does not meet production, a steel purchasing signal is generated and sent to a mobile phone terminal of a management staff, and if the quantity of the processed steel is greater than a warehouse storage quantity limit value, a delivery signal is generated and sent to the mobile phone terminal of the management staff;
step four, predictive maintenance: after the installation is finished, the equipment maintenance unit analyzes the use data of the equipment, performs predictive maintenance on the equipment, obtains a predictive maintenance coefficient of the equipment through a formula, judges that the equipment is in a general state if the predictive maintenance coefficient of the equipment is less than a predictive maintenance coefficient threshold value, generates a maintenance-needed signal and sends the maintenance-needed signal to a mobile phone terminal of a manager.
Compared with the prior art, the invention has the beneficial effects that:
1. in the invention, a manager sends the position of a site to be surveyed to a cloud manufacturing platform through a mobile phone terminal, reasonably distributes the personnel to be surveyed on the site by analyzing site environment information, obtains the distribution coefficient of preselected personnel through a formula, marks the preselected personnel with the highest distribution coefficient as selected personnel, marks the preselected personnel corresponding to the second ordered distribution coefficient as alternative personnel, and then sends the position to be surveyed to the selected personnel and the mobile phone terminals of the alternative personnel; survey personnel are reasonably distributed, the actual cost is reduced, the workload of the survey personnel is reduced, and the working efficiency is improved;
2. in the invention, merchant data is analyzed through a material selection unit, a supplier of materials is selected, a selection coefficient of the supplier is obtained through a formula, if the selection coefficient Bm of the supplier is more than or equal to a selection coefficient threshold value, the supplier is judged to be suitable for cooperation, a suitable signal is generated and sent to a cloud manufacturing platform, a manager logs in the cloud manufacturing platform through a mobile phone terminal to inquire, and the supplier with the highest selection coefficient is marked as a cooperation supplier; a supplier is reasonably selected, so that the occurrence of safety accidents is reduced, and meanwhile, unnecessary cost can be reduced;
3. in the invention, the equipment maintenance unit analyzes the use data of the equipment, performs predictive maintenance on the equipment, obtains the predictive maintenance coefficient of the equipment through a formula, judges the equipment state to be general if the predictive maintenance coefficient of the equipment is less than the predictive maintenance coefficient threshold, generates a signal needing maintenance and sends the signal needing maintenance to the mobile phone terminal of a manager; the equipment is subjected to predictive maintenance, the risk of equipment failure is reduced, and the maintenance cost is reduced.
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.
Referring to fig. 1, an intelligent manufacturing system based on an industrial internet includes a cloud manufacturing platform, a survey distribution unit, a material selection unit, a production management unit, an equipment maintenance unit, a registration unit, and a database;
the registration login unit is used for submitting management personnel data and survey personnel data for registration through mobile phone terminals by management personnel and survey personnel, sending the successfully registered management personnel data and survey personnel data to a database for storage, generating a login account number by the cloud manufacturing platform and sending the login account number to the mobile phone terminals of the management personnel and the survey personnel, wherein the management personnel data comprise names, work numbers, ages, time of entry and mobile phone numbers for real name authentication of the management personnel, and the survey personnel data comprise names, work numbers, ages, time of entry and mobile phone numbers for real name authentication of the survey personnel;
the survey distribution unit is used for analyzing field environment information and reasonably distributing personnel for field survey, the field environment information comprises temperature data, dust content and space data, the temperature data is represented as the difference between the highest temperature and the lowest temperature of the whole day of a site to be surveyed, the dust content is represented as the dust content in the air of the site to be surveyed, the space data is represented as the sum of the areas of mechanical parking spaces divided on the site to be surveyed, and the specific analysis distribution process comprises the following steps:
s1, the manager sends the position of the site to be surveyed to the cloud manufacturing platform through the mobile phone terminal, and after receiving the position of the site to be surveyed, the cloud manufacturing platform generates a surveying demand signal and sends the surveying demand signal to the surveying distribution unit;
s2, acquiring the difference between the highest temperature and the lowest temperature of the site to be surveyed all day long, and marking the difference between the highest temperature and the lowest temperature of the site to be surveyed all day long as Wi, i is 1, 2,. once.n;
s3, acquiring the dust content in the air of the site to be surveyed, and marking the dust content in the air of the site to be surveyed as Hi;
s4, acquiring the area sum of the mechanical parking spaces divided on the site to be surveyed, and marking the area sum of the mechanical parking spaces divided on the site to be surveyed as Mi;
s5, passing formula
Acquiring survey coefficients Xi of a site to be surveyed, wherein c1, c2 and c3 are preset proportionality coefficients, c1 is larger than c2 is larger than c3 is larger than 0, and beta is an error correction factor;
s6, the cloud manufacturing platform counts idle survey staff and marks the idle survey staff as preselection staff, then the geographical position where the preselection staff is located is obtained according to the mobile phone positioning of the preselection staff, the distance between the position where the preselection staff is located and a site to be surveyed and the time spent on arrival are obtained through internet map query, and the distance between the position where the preselection staff is located and the site to be surveyed and the time spent on arrival are correspondingly marked as JLO and SCo, wherein O is 1, 2;
s7, passing formula
Acquiring distribution coefficients Xo of preselected personnel, wherein a1 and a2 are preset proportionality coefficients, sequencing the distribution coefficients Xo of the preselected personnel from high to low, marking the preselected personnel with the highest distribution coefficient as selected personnel, marking the preselected personnel corresponding to the second sequenced distribution coefficient as candidate personnel, and then sending the position to be surveyed to the selected personnel and mobile phone terminals of the candidate personnel;
the material selection unit is used for selecting suppliers of materials by analyzing merchant data, the merchant data comprises the cooperation times of suppliers, the quality guarantee amount of the suppliers and the poor evaluation times received by the suppliers, and the specific analysis and selection process comprises the following steps:
SS 1: acquiring the cooperation times of suppliers, and marking the cooperation times of the suppliers as Hm, wherein m is 1, 2, a.
SS 2: acquiring the quality guarantee amount of a supplier home, and marking the quality guarantee amount of the supplier home as Jm;
SS 3: acquiring the poor evaluation times received by a supplier, and marking the poor evaluation times received by the supplier as Cm;
SS 4: by the formula
Obtaining a selection coefficient Bm of a supplier, wherein s1, s2 and s3 are all preset proportionality coefficients, and s1 is greater than s2 is greater than s3 is greater than 0;
SS 5: comparing the selection coefficient Bm of the supplier with a selection coefficient threshold:
if the selection coefficient Bm of the supplier is larger than or equal to the selection coefficient threshold value, judging that the supplier is suitable for cooperation, generating a suitable signal and sending the suitable signal to a cloud manufacturing platform, logging in the cloud manufacturing platform by a manager through a mobile phone terminal for inquiry, and marking the supplier with the highest selection coefficient as a cooperation supplier;
if the selection coefficient Bm of the supplier is less than the selection coefficient threshold value, judging that the supplier is not suitable for cooperation, generating an unsuitable signal and sending the suitable signal to a cloud manufacturing platform, marking the supplier as a blackened supplier after the cloud manufacturing platform receives the unsuitable signal, and sending the blackened supplier to a database for storage;
the production management unit is used for managing the production process of the mechanical parking space, and the specific management process is as follows:
l1: the method comprises the steps that surveying of a site to be surveyed is carried out by a surveying staff, the site is drawn into a drawing by drawing software and is marked as a design scheme diagram, the type of a mechanical parking space is determined according to the area of the site divided mechanical parking spaces, the required quantity of steel is determined according to the type of the mechanical parking space, then the required quantity of the steel is sent to a cloud manufacturing platform, and sending time is recorded and sent to a database for storage;
l2: after the steel is purchased, setting the estimated completion time, then carrying out steel processing production, obtaining the amount of unprocessed steel and the amount of processed steel in real time, and respectively and correspondingly marking the amounts as WG and GG;
l3: if the quantity WG of the unprocessed steel is less than the quantity WG of the residual steel required for finishing production, judging that the quantity of the unprocessed steel does not meet the production, generating a steel purchasing signal, sending the steel purchasing signal to a mobile phone terminal of a manager, simultaneously recording purchasing time and sending the purchasing time to a database for storage, and if the quantity GG of the processed steel is greater than the limit value of the storage quantity of the warehouse, generating a delivery signal and sending the delivery signal to the mobile phone terminal of the manager;
the equipment maintenance unit is used for analyzing the use data of the equipment and performing predictive maintenance on the equipment, the use data comprises the overload use times and the overload weight of the mechanical parking equipment and the average humidity value of the environment where the mechanical parking equipment is located, and the specific analysis process is as follows:
t1: acquiring the overload use times of the mechanical parking equipment, and marking the overload use times of the mechanical parking equipment as Cw;
t2: acquiring the overload weight of the mechanical parking equipment, and marking the overload weight of the mechanical parking equipment as Zw;
t3: acquiring an average humidity value of the environment where the mechanical parking equipment is located, and marking the average humidity value of the environment where the mechanical parking equipment is located as Sw;
t4: by the formula
Acquiring a prediction maintenance coefficient Yw of the equipment, wherein b1, b2 and b3 are all preset proportional coefficients, and b1 is greater than b2 and greater than b3 is greater than 0;
t5: comparing the prediction maintenance coefficient Yw of the device with a prediction maintenance coefficient threshold:
if the predicted maintenance coefficient Yw of the equipment is larger than or equal to the predicted maintenance coefficient threshold value, judging that the equipment is in a good state, generating a maintenance-unnecessary signal and sending the maintenance-unnecessary signal to a mobile phone terminal of a manager;
if the predicted maintenance coefficient Yw of the equipment is less than the predicted maintenance coefficient threshold value, judging that the equipment is in a general state, generating a signal needing maintenance, and sending the signal needing maintenance to a mobile phone terminal of a manager;
an intelligent manufacturing method based on industrial internet, a manufacturing method of mechanical parking equipment comprises the following steps:
step one, surveying: the method comprises the steps that a manager sends the position of a site to be surveyed to a cloud manufacturing platform through a mobile phone terminal, reasonably distributes personnel to be surveyed on the site through analyzing site environment information, obtains distribution coefficients of preselected personnel through a formula, marks the preselected personnel with the highest distribution coefficient as selected personnel, marks the preselected personnel corresponding to the second-ordered distribution coefficient as alternative personnel, and then sends the position to be surveyed to the selected personnel and mobile phone terminals of the alternative personnel;
step two, material selection: the data of merchants are analyzed through a material selection unit, suppliers of materials are selected, the selection coefficient of the suppliers is obtained through a formula, if the selection coefficient Bm of the suppliers is larger than or equal to the selection coefficient threshold value, the suppliers are judged to be suitable for cooperation, appropriate signals are generated and sent to a cloud manufacturing platform, managers log in the cloud manufacturing platform through mobile phone terminals to inquire, and the supplier with the highest selection coefficient is marked as a cooperation supplier;
step three, production and installation: the method comprises the steps that surveying of a site to be surveyed is carried out by a surveying staff, the site is drawn into a drawing by drawing software, the type of a mechanical parking space is determined according to the area of the site divided mechanical parking space, the required quantity of steel is determined according to the type of the mechanical parking space, then the required quantity of the steel is sent to a cloud manufacturing platform, the quantity of unprocessed steel and the quantity of the processed steel are obtained in real time, if the quantity of the unprocessed steel is less than the required quantity of the residual steel, it is judged that the quantity of the unprocessed steel does not meet production, a steel purchasing signal is generated and sent to a mobile phone terminal of a management staff, and if the quantity of the processed steel is greater than a warehouse storage quantity limit value, a delivery signal is generated and sent to the mobile phone terminal of the management staff;
step four, predictive maintenance: after the installation is finished, the equipment maintenance unit analyzes the use data of the equipment, performs predictive maintenance on the equipment, obtains a predictive maintenance coefficient of the equipment through a formula, judges that the equipment is in a general state if the predictive maintenance coefficient of the equipment is less than a predictive maintenance coefficient threshold value, generates a maintenance-needed signal and sends the maintenance-needed signal to a mobile phone terminal of a manager.
The working principle of the invention is as follows:
during work, a manager sends the position of a site to be surveyed to a cloud manufacturing platform through a mobile phone terminal, and reasonably distributes the personnel for site survey by analyzing site environment information; analyzing the merchant data through the material selection unit, and selecting suppliers of the materials; the method comprises the steps that surveying of a site to be surveyed is carried out by a surveying staff, the site is drawn into a drawing by drawing software, the type of a mechanical parking space is determined according to the area of the site divided mechanical parking space, the required quantity of steel is determined according to the type of the mechanical parking space, then the required quantity of the steel is sent to a cloud manufacturing platform, the quantity of unprocessed steel and the quantity of the processed steel are obtained in real time, if the quantity of the unprocessed steel is less than the required quantity of the residual steel, it is judged that the quantity of the unprocessed steel does not meet production, a steel purchasing signal is generated and sent to a mobile phone terminal of a management staff, and if the quantity of the processed steel is greater than a warehouse storage quantity limit value, a delivery signal is generated and sent to the mobile phone terminal of the management staff; after the installation is finished, the equipment is subjected to predictive maintenance through analyzing the use data of the equipment by the equipment maintenance unit.
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 (1)
1. An intelligent manufacturing system based on an industrial internet is characterized by comprising a cloud manufacturing platform, a survey distribution unit, a material selection unit, a production management unit, an equipment maintenance unit, a registration login unit and a database;
the production management unit is used for managing the production process of the mechanical parking space, and the specific management process is as follows:
l1: the method comprises the steps that surveying of a site to be surveyed is carried out by a surveying staff, the site is drawn into a drawing by drawing software and is marked as a design scheme diagram, the type of a mechanical parking space is determined according to the area of the site divided mechanical parking spaces, the required quantity of steel is determined according to the type of the mechanical parking space, then the required quantity of the steel is sent to a cloud manufacturing platform, and sending time is recorded and sent to a database for storage;
l2: after the steel is purchased, setting the estimated completion time, then carrying out steel processing production, obtaining the amount of unprocessed steel and the amount of processed steel in real time, and respectively and correspondingly marking the amounts as WG and GG;
l3: if the quantity WG of the unprocessed steel is less than the quantity WG of the residual steel required for finishing production, judging that the quantity of the unprocessed steel does not meet the production, generating a steel purchasing signal, sending the steel purchasing signal to a mobile phone terminal of a manager, simultaneously recording purchasing time and sending the purchasing time to a database for storage, and if the quantity GG of the processed steel is greater than the limit value of the storage quantity of the warehouse, generating a delivery signal and sending the delivery signal to the mobile phone terminal of the manager;
the system comprises a registration login unit, a database, a cloud manufacturing platform, a cloud management platform, a cloud survey personnel database and a cloud survey personnel database, wherein the registration login unit is used for submitting management personnel data and survey personnel data through mobile phone terminals for registration, sending the successfully registered management personnel data and survey personnel data to the database for storage, generating a login account number by the cloud manufacturing platform and sending the login account number to the mobile phone terminals of the management personnel and the survey personnel, the management personnel data comprise names, work numbers, ages, time of entry and mobile phone numbers of real name authentication of the survey personnel, and the survey personnel data comprise names, work numbers, ages, time of entry and mobile phone numbers of real name authentication of the survey personnel;
the survey distribution unit is used for analyzing field environment information and reasonably distributing personnel for field survey, the field environment information comprises temperature data, dust content and space data, the temperature data is represented as the difference between the highest temperature and the lowest temperature of the whole day of a site to be surveyed, the dust content is represented as the dust content in the air of the site to be surveyed, the space data is represented as the sum of the areas of mechanical parking spaces divided on the site to be surveyed, and the specific analysis distribution process comprises the following steps:
s1, the manager sends the position of the site to be surveyed to the cloud manufacturing platform through the mobile phone terminal, and after receiving the position of the site to be surveyed, the cloud manufacturing platform generates a surveying demand signal and sends the surveying demand signal to the surveying distribution unit;
s2, acquiring the difference between the highest temperature and the lowest temperature of the site to be surveyed all day long, and marking the difference between the highest temperature and the lowest temperature of the site to be surveyed all day long as Wi, i is 1, 2,. once.n;
s3, acquiring the dust content in the air of the site to be surveyed, and marking the dust content in the air of the site to be surveyed as Hi;
s4, acquiring the area sum of the mechanical parking spaces divided on the site to be surveyed, and marking the area sum of the mechanical parking spaces divided on the site to be surveyed as Mi;
s5, passing formula
Acquiring survey coefficients Xi of a site to be surveyed, wherein c1, c2 and c3 are preset proportionality coefficients, c1 is larger than c2 is larger than c3 is larger than 0, and beta is an error correction factor;
s6, the cloud manufacturing platform counts idle survey staff and marks the idle survey staff as preselection staff, then the geographical position where the preselection staff is located is obtained according to the mobile phone positioning of the preselection staff, the distance between the position where the preselection staff is located and a site to be surveyed and the time spent on arrival are obtained through internet map query, and the distance between the position where the preselection staff is located and the site to be surveyed and the time spent on arrival are correspondingly marked as JLO and SCo, wherein O is 1, 2;
s7, passing formula
Acquiring distribution coefficients Xo of preselected personnel, wherein a1 and a2 are preset proportionality coefficients, sequencing the distribution coefficients Xo of the preselected personnel from high to low, marking the preselected personnel with the highest distribution coefficient as selected personnel, marking the preselected personnel corresponding to the second sequenced distribution coefficient as candidate personnel, and then sending the position to be surveyed to the selected personnel and mobile phone terminals of the candidate personnel;
the material selection unit is used for selecting suppliers of materials by analyzing merchant data, the merchant data comprises the cooperation times of suppliers, the quality guarantee amount of the suppliers and the poor evaluation times received by the suppliers, and the specific analysis and selection process comprises the following steps:
SS 1: acquiring the cooperation times of suppliers, and marking the cooperation times of the suppliers as Hm, wherein m is 1, 2, a.
SS 2: acquiring the quality guarantee amount of a supplier home, and marking the quality guarantee amount of the supplier home as Jm;
SS 3: acquiring the poor evaluation times received by a supplier, and marking the poor evaluation times received by the supplier as Cm;
SS 4: by the formula
Obtaining a selection coefficient Bm of a supplier, wherein s1, s2 and s3 are all preset proportionality coefficients, and s1 is greater than s2 is greater than s3 is greater than O;
SS 5: comparing the selection coefficient Bm of the supplier with a selection coefficient threshold:
if the selection coefficient Bm of the supplier is larger than or equal to the selection coefficient threshold value, judging that the supplier is suitable for cooperation, generating a suitable signal and sending the suitable signal to a cloud manufacturing platform, logging in the cloud manufacturing platform by a manager through a mobile phone terminal for inquiry, and marking the supplier with the highest selection coefficient as a cooperation supplier;
if the selection coefficient Bm of the supplier is less than the selection coefficient threshold value, judging that the supplier is not suitable for cooperation, generating an unsuitable signal and sending the suitable signal to a cloud manufacturing platform, marking the supplier as a blackened supplier after the cloud manufacturing platform receives the unsuitable signal, and sending the blackened supplier to a database for storage;
the equipment maintenance unit is used for analyzing the use data of the equipment and performing predictive maintenance on the equipment, the use data comprises the overload use times and the overload weight of the mechanical parking equipment and the average humidity value of the environment where the mechanical parking equipment is located, and the specific analysis process is as follows:
t1: acquiring the overload use times of the mechanical parking equipment, and marking the overload use times of the mechanical parking equipment as Cw;
t2: acquiring the overload weight of the mechanical parking equipment, and marking the overload weight of the mechanical parking equipment as Zw;
t3: acquiring an average humidity value of the environment where the mechanical parking equipment is located, and marking the average humidity value of the environment where the mechanical parking equipment is located as Sw;
t4: by the formula
Acquiring a prediction maintenance coefficient Yw of the equipment, wherein b1, b2 and b3 are all preset proportional coefficients, and b1 is greater than b2 is greater than b3 is greater than O;
t5: comparing the prediction maintenance coefficient Yw of the device with a prediction maintenance coefficient threshold:
if the predicted maintenance coefficient Yw of the equipment is larger than or equal to the predicted maintenance coefficient threshold value, judging that the equipment is in a good state, generating a maintenance-unnecessary signal and sending the maintenance-unnecessary signal to a mobile phone terminal of a manager;
and if the predicted maintenance coefficient Yw of the equipment is less than the predicted maintenance coefficient threshold value, judging that the equipment is in a general state, generating a signal needing maintenance, and sending the signal needing maintenance to a mobile phone terminal of a manager.
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