CN112148777A - Data acquisition system based on edge calculation - Google Patents
Data acquisition system based on edge calculation Download PDFInfo
- Publication number
- CN112148777A CN112148777A CN202011060487.4A CN202011060487A CN112148777A CN 112148777 A CN112148777 A CN 112148777A CN 202011060487 A CN202011060487 A CN 202011060487A CN 112148777 A CN112148777 A CN 112148777A
- Authority
- CN
- China
- Prior art keywords
- parking space
- mechanical
- equipment
- coefficient
- mechanical parking
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
- 238000004364 calculation method Methods 0.000 title claims abstract description 22
- 238000012423 maintenance Methods 0.000 claims abstract description 80
- 238000012163 sequencing technique Methods 0.000 claims abstract description 32
- 238000003860 storage Methods 0.000 claims abstract description 29
- 238000012544 monitoring process Methods 0.000 claims abstract description 28
- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 13
- 230000002159 abnormal effect Effects 0.000 claims description 31
- 229910000831 Steel Inorganic materials 0.000 claims description 21
- 239000010959 steel Substances 0.000 claims description 21
- 230000015556 catabolic process Effects 0.000 claims description 9
- 238000012937 correction Methods 0.000 claims description 6
- 230000005611 electricity Effects 0.000 claims description 6
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 abstract description 3
- 208000035475 disorder Diseases 0.000 abstract description 3
- 238000004140 cleaning Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- 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
- G06F16/21—Design, administration or maintenance of databases
- G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
-
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2477—Temporal data queries
-
- 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
- G06Q10/20—Administration of product repair or maintenance
-
- 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—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Databases & Information Systems (AREA)
- Probability & Statistics with Applications (AREA)
- Human Resources & Organizations (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Fuzzy Systems (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Computational Linguistics (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a data acquisition system based on edge calculation, which comprises an edge calculation platform, an anomaly monitoring unit, a maintenance unit, a registration unit, a database, a real-time monitoring module and a performance analysis unit, wherein the anomaly monitoring unit is used for monitoring the anomaly of a data acquisition system; the method comprises the steps that a real-time monitoring module is used for monitoring use data of the mechanical parking space in real time, the use times, the use frequency and the use duration of the mechanical parking space are obtained in real time, the use coefficient Xi of the mechanical parking space is obtained through a formula, and the use coefficient Xi are sent to an edge computing platform; the edge computing platform sends the data to a database for storage, records the sending time and marks the sending time as sequencing time, and then sends the sequencing time to the database for storage and sequences according to the sequencing time; sequencing is carried out according to time, so that convenience is brought to managers to inquire, the risk of disorder of data in the database is reduced, and the safety performance of the system is improved.
Description
Technical Field
The invention relates to the technical field, in particular to a data acquisition system based on edge calculation.
Background
For most manufacturing enterprises, a large amount of manpower and material resources are consumed for collecting use data, time data and maintenance data of equipment, even if monitoring equipment is developed day by day, a large amount of manpower is still needed for statistics, the work is heavy, the accuracy of the data cannot be guaranteed, and the data obtained by a manager often lags behind by one or two days; the mechanical parking space is a movable non-independent space, the purpose of using an individual parking space is achieved by means of integral operation and space exchange of machinery, the parking space in the right meaning is a fixed independent space, a specific boundary range exists, the use safety of parking space equipment is critical, data collection of the equipment is needed, and analysis and processing are carried out through edge calculation.
However, in the prior art, the data of the mechanical parking space cannot be comprehensively collected, and meanwhile, the data cannot be reasonably sorted, so that the error of workers is easily caused, unnecessary trouble is brought, and the working efficiency is seriously influenced.
Disclosure of Invention
The invention aims to provide a data acquisition system based on edge calculation, which monitors the use data of a mechanical parking space in real time through a real-time monitoring module, acquires the use times, use frequency and use duration of the mechanical parking space in real time, acquires the use coefficient Xi of the mechanical parking space through a formula, and sends the use coefficient Xi of the mechanical parking space and the use frequency Xi to an edge calculation platform; the edge computing platform receives the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space, then sends the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space to the database for storage, records the sending time, marks the sending time as sequencing time, and then sends the sequencing time to the database for storage and sequences according to the sequencing time; sequencing is carried out according to time, so that convenience is brought to managers to inquire, the risk of disorder of data in the database is reduced, and the safety performance of the system is improved.
The purpose of the invention can be realized by the following technical scheme:
a data acquisition system based on edge calculation comprises an edge calculation platform, an anomaly monitoring unit, a maintenance unit, a registration login unit, a database, a real-time monitoring module and a performance analysis unit;
the real-time supervision module is used for carrying out real-time supervision to mechanical parking stall's use data, and use data includes the number of times of use, frequency of use and the length of use of mechanical parking stall, marks mechanical parking stall as i, i 1, n, and specific monitoring process is as follows:
step one, acquiring the use times of a mechanical parking space in real time, and marking the use times of the mechanical parking space as Ci;
step two, acquiring the use frequency of the mechanical parking space in real time, and marking the use frequency of the mechanical parking space as Pi;
step three, acquiring the service life of the mechanical parking space in real time, and marking the service life of the mechanical parking space as Bi;
step four, passing through a formulaObtaining a use coefficient Xi of the mechanical parking space, wherein c1, c2 and c3 are all preset proportional coefficients, c1 is greater than c2 is greater than c3, c1+ c2+ c3 is 1.65874, and beta is a correction factor and takes the value of 2.014563;
step five, sending the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space to an edge calculation platform together;
the edge computing platform receives the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space, then sends the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space to the database for storage, records the sending time, marks the sending time as sequencing time, then sends the sequencing time to the database for storage, and the database sequences the stored use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space according to the sequencing time;
meanwhile, the edge computing platform compares the use coefficient Xi of the mechanical parking space with a use coefficient threshold value:
if the use coefficient Xi of the mechanical parking space is larger than or equal to the use coefficient threshold value, judging that the mechanical parking space is normally used, generating a normal signal, marking the equipment as normal equipment, and then sending the name serial number of the equipment to a database for storage;
and if the use coefficient Xi of the mechanical parking space is less than the use coefficient threshold value, judging that the mechanical parking space is abnormal in use, generating an abnormal signal, marking the equipment as abnormal equipment, and then sending the name serial number of the equipment and the abnormal signal to the abnormal monitoring unit.
Further, the registration and login unit is used for a manager and a maintainer to submit manager data and maintainer data through the mobile phone terminal for registration and send the manager data and the maintainer data which are successfully registered to the database for storage, the manager data comprise names, photos, ages of the manager and mobile phone numbers of personal real name authentication, the maintainer data are represented as names, photos, time of entry, maintenance types and mobile phone terminals of personal real name authentication, and the maintenance types comprise mechanical maintenance and electrical maintenance.
Further, the abnormal monitoring unit is configured to receive the abnormal signal and the name serial number of the abnormal device, and perform fault analysis on device information of the abnormal device, where the device information includes mechanical data and electrical data, the mechanical data is represented by yield strength, impact toughness and reduction of area of a steel structure of the mechanical parking space, the electrical data is represented by slew rate, volume conductivity and reverse breakdown voltage of the operational amplifier, and a specific fault analysis process is as follows:
s1: acquiring the yield strength of a mechanical parking space steel structure, and marking the yield strength of the mechanical parking space steel structure as Qi, i is 1, and n is a.
S2: acquiring the impact toughness of the steel structure of the mechanical parking space, and marking the impact toughness of the steel structure of the mechanical parking space as Ri;
s3: acquiring the section shrinkage rate of the steel structure of the mechanical parking space, and marking the section shrinkage rate of the steel structure of the mechanical parking space with Si;
s4: by the formulaAcquiring a mechanical failure coefficient Ti of a parking space, wherein v1, v2 and v3 are all preset proportionality coefficients, v1+ v2+ v3 is 2.3654, v1 > v2 > v3, and e is a natural constant;
s5: acquiring the deflection rate of the operation and the release of the electrical box of the mechanical parking space, and marking the deflection rate of the operation and the release of the electrical box of the mechanical parking space as Vi;
s6: acquiring the volume conductivity of the electrical box for the mechanical parking space, and marking the volume conductivity of the electrical box for the mechanical parking space as Li;
s7: acquiring the reverse breakdown voltage of the electrical box of the mechanical parking space, and marking the reverse breakdown voltage of the electrical box of the mechanical parking space as Oi;
s8: by the formulaAcquiring an electrical fault coefficient Di of a parking space, wherein m1, m2 and m3 are all preset proportional coefficients, m1+ m2+ m3 is 3.021563, m1 is greater than m2 is greater than m3, and alpha is a correction factor and takes the value of 2.036541;
s9: comparing the mechanical failure coefficient Ti and the electrical failure coefficient Di of the parking space with L1 and L2 respectively, wherein L1 is a mechanical failure coefficient threshold value, and L2 is an electrical failure coefficient threshold value;
if the mechanical failure coefficient Ti is larger than or equal to L1 and the electrical failure coefficient is larger than or equal to L2, judging that the mechanical electricity of the parking space has failures, and marking the mechanical electricity as mechanical electrical failure equipment;
if the mechanical fault coefficient Ti is less than L1 and the electrical fault coefficient is more than or equal to L2, determining that the parking space has electrical fault, and marking the parking space as electrical fault equipment;
if the mechanical failure coefficient Ti is larger than or equal to L1 and the electrical failure coefficient is smaller than 2, judging that the parking space machinery has a failure, and marking the parking space machinery as mechanical failure equipment;
s10: and sending the name serial numbers of the mechanical electrical fault equipment, the electrical fault equipment and the mechanical fault equipment to the maintenance unit.
Further, the maintenance unit is used for reasonably distributing maintenance personnel to the fault equipment, and the specific distribution process is as follows:
t1: recording dates of equipment marked as mechanical electrical fault equipment, electrical fault equipment and mechanical fault equipment, and marking as fault dates;
t2: comparing the failure date with the current date to obtain the time length of the failure of the equipment, and sequencing the serial numbers of the corresponding equipment in a time length descending mode;
t3: sending the serial number of the sequenced mechanical failure equipment to a mobile phone terminal of a mechanical maintenance worker, wherein the workload of the mechanical maintenance worker is added with the number of the corresponding equipment; sending the sequenced serial numbers of the electrical fault devices to a mobile phone terminal of an electrical maintenance worker, wherein the workload of the electrical maintenance worker is added with the number of the corresponding devices; sending the sequenced serial number of the mechanical and electrical fault equipment to a mobile phone terminal of a mechanical maintenance worker, setting t time by the mechanical maintenance worker, marking the equipment as the mechanical maintenance equipment after the t time, and sending the serial number of the mechanical maintenance equipment to the mobile phone terminal of the electrical maintenance worker, wherein t is the mechanical maintenance time;
t4: marking the equipment which is maintained as the maintained equipment, sequencing the maintained equipment by the time of maintaining completion, and then sending the name serial number of the sequenced maintained equipment to a database for storage;
the performance analysis unit is used for analyzing performance data of the mechanical parking space, the performance data comprise maintenance times, maintenance frequency and maintenance interval duration of the parking space, and the specific analysis process is as follows:
p1: acquiring maintenance times, maintenance frequency and maintenance interval duration of a parking space, and sequentially and correspondingly marking as Wi, Ui and Ji;
p2: by the formulaAcquiring a performance coefficient Ei of the mechanical parking space, wherein o1, o2 and o3 are all preset proportional coefficients, o1 is greater than o2 is greater than o3, and o1+ o2+ o3 is 3.01254;
p3: comparing the coefficient of performance Ei of the mechanical parking space with a coefficient of performance threshold:
if the performance coefficient Ei of the mechanical parking space is not less than the performance coefficient threshold, judging that the mechanical parking space has good performance, generating a signal with good performance, and sending the signal with good performance and the name and the serial number of the equipment to a database for storage;
if the performance coefficient Ei of the mechanical parking space is less than the performance coefficient threshold value, judging that the performance of the mechanical parking space is bad, generating a bad performance signal, sending the bad performance signal and the name serial number of the equipment to an edge computing platform, marking the equipment as overhaul equipment after the edge computing platform receives the bad performance signal and the name serial number of the equipment, sending the name serial number of the overhaul equipment to mobile phone terminals of mechanical and electrical maintenance personnel, marking the equipment as scrapped equipment after overhaul, and sending the name serial number of the scrapped equipment to a mobile phone terminal of a manager if the performance coefficient of the mechanical parking space is still less than the performance coefficient threshold value.
Compared with the prior art, the invention has the beneficial effects that:
1. the method comprises the steps that a real-time monitoring module is used for monitoring use data of the mechanical parking space in real time, the use frequency and the use duration of the mechanical parking space are obtained in real time, the use coefficient Xi of the mechanical parking space is obtained through a formula, and the use frequency Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space are sent to an edge computing platform together; the edge computing platform receives the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space, then sends the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space to the database for storage, records the sending time, marks the sending time as sequencing time, and then sends the sequencing time to the database for storage and sequences according to the sequencing time; sequencing is carried out according to time, so that management personnel can conveniently inquire, the risk of disorder of data in the database is reduced, and the safety performance of the system is improved;
2. reasonably distributing maintenance personnel to the fault equipment through a maintenance unit, recording dates of marking the equipment as mechanical electrical fault equipment, electrical fault equipment and mechanical fault equipment, and marking the dates as fault dates; comparing the failure date with the current date to obtain the time length of the failure of the equipment, and sequencing the serial numbers of the corresponding equipment in a time length descending mode; marking the equipment which is maintained as the maintained equipment, sequencing the maintained equipment by the time of maintaining completion, and then sending the name serial number of the sequenced maintained equipment to a database for storage; the data of the equipment are stored and reasonably sorted, so that the error rate of maintenance personnel is effectively reduced, meanwhile, the collected data are accurate, management of management personnel is facilitated, and the working efficiency is high.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
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, a data acquisition system based on edge calculation includes an edge calculation platform, an anomaly monitoring unit, a maintenance unit, a registration unit, a database, a real-time monitoring module, and a performance analysis unit;
the registration login unit is used for the manager and the maintainer to submit manager data and maintainer data through the mobile phone terminal for registration and send the manager data and the maintainer data which are successfully registered to the database for storage, the manager data comprise names, photos, ages of the managers and mobile phone numbers authenticated by real names of the managers, the maintainer data are expressed as names, photos, time of employment, maintenance types and mobile phone terminals authenticated by real names of the maintainers, and the maintenance types comprise mechanical maintenance and electrical maintenance;
the real-time supervision module is used for carrying out real-time supervision to mechanical parking stall's use data, and use data includes the number of times of use, frequency of use and the length of use of mechanical parking stall, marks mechanical parking stall as i, i 1, n, and specific monitoring process is as follows:
step one, acquiring the use times of a mechanical parking space in real time, and marking the use times of the mechanical parking space as Ci;
step two, acquiring the use frequency of the mechanical parking space in real time, and marking the use frequency of the mechanical parking space as Pi;
step three, acquiring the service life of the mechanical parking space in real time, and marking the service life of the mechanical parking space as Bi;
step four, passing through a formulaObtaining a use coefficient Xi of the mechanical parking space, wherein c1, c2 and c3 are all preset proportional coefficients, c1 is greater than c2 is greater than c3, c1+ c2+ c3 is 1.65874, and beta is a correction factor and takes the value of 2.014563;
step five, sending the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space to an edge calculation platform together;
the edge computing platform receives the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space, then sends the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space to the database for storage, records the sending time, marks the sending time as sequencing time, then sends the sequencing time to the database for storage, and the database sequences the stored use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space according to the sequencing time;
meanwhile, the edge computing platform compares the use coefficient Xi of the mechanical parking space with a use coefficient threshold value:
if the use coefficient Xi of the mechanical parking space is larger than or equal to the use coefficient threshold value, judging that the mechanical parking space is normally used, generating a normal signal, marking the equipment as normal equipment, and then sending the name serial number of the equipment to a database for storage;
if the use coefficient Xi of the mechanical parking space is smaller than the use coefficient threshold value, judging that the mechanical parking space is abnormal in use, generating an abnormal signal, marking the equipment as abnormal equipment, and then sending the name serial number of the equipment and the abnormal signal to an abnormal monitoring unit;
the abnormal monitoring unit is used for receiving the name serial number of the abnormal signal and the abnormal equipment, and simultaneously carrying out fault analysis on the equipment information of the abnormal equipment, wherein the equipment information comprises mechanical data and electrical data, the mechanical data is represented by the yield strength, the impact toughness and the section shrinkage rate of a steel structure of a mechanical parking space, the electrical data is represented by the slew rate, the volume conductivity and the reverse breakdown voltage of operational amplifier, and the specific fault analysis process is as follows:
s1: acquiring the yield strength of a mechanical parking space steel structure, and marking the yield strength of the mechanical parking space steel structure as Qi, i is 1, and n is a.
S2: acquiring the impact toughness of the steel structure of the mechanical parking space, and marking the impact toughness of the steel structure of the mechanical parking space as Ri;
s3: acquiring the section shrinkage rate of the steel structure of the mechanical parking space, and marking the section shrinkage rate of the steel structure of the mechanical parking space with Si;
s4: by the formulaAcquiring a mechanical failure coefficient Ti of a parking space, wherein v1, v2 and v3 are all preset proportionality coefficients, v1+ v2+ v3 is 2.3654, v1 > v2 > v3, and e is a natural constant;
s5: acquiring the deflection rate of the operation and the release of the electrical box of the mechanical parking space, and marking the deflection rate of the operation and the release of the electrical box of the mechanical parking space as Vi;
s6: acquiring the volume conductivity of the electrical box for the mechanical parking space, and marking the volume conductivity of the electrical box for the mechanical parking space as Li;
s7: acquiring the reverse breakdown voltage of the electrical box of the mechanical parking space, and marking the reverse breakdown voltage of the electrical box of the mechanical parking space as Oi;
s8: by the formulaAcquiring an electrical fault coefficient Di of a parking space, wherein m1, m2 and m3 are all preset proportional coefficients, m1+ m2+ m3 is 3.021563, m1 is greater than m2 is greater than m3, and alpha is a correction factor and takes the value of 2.036541;
s9: comparing the mechanical failure coefficient Ti and the electrical failure coefficient Di of the parking space with L1 and L2 respectively, wherein L1 is a mechanical failure coefficient threshold value, and L2 is an electrical failure coefficient threshold value;
if the mechanical failure coefficient Ti is larger than or equal to L1 and the electrical failure coefficient is larger than or equal to L2, judging that the mechanical electricity of the parking space has failures, and marking the mechanical electricity as mechanical electrical failure equipment;
if the mechanical fault coefficient Ti is less than L1 and the electrical fault coefficient is more than or equal to L2, determining that the parking space has electrical fault, and marking the parking space as electrical fault equipment;
if the mechanical failure coefficient Ti is larger than or equal to L1 and the electrical failure coefficient is smaller than 2, judging that the parking space machinery has a failure, and marking the parking space machinery as mechanical failure equipment;
s10: sending the name serial numbers of the mechanical electrical fault equipment, the electrical fault equipment and the mechanical fault equipment to a maintenance unit;
the maintenance unit is used for reasonably distributing maintenance personnel to the fault equipment, and the specific distribution process is as follows:
t1: recording dates of equipment marked as mechanical electrical fault equipment, electrical fault equipment and mechanical fault equipment, and marking as fault dates;
t2: comparing the failure date with the current date to obtain the time length of the failure of the equipment, and sequencing the serial numbers of the corresponding equipment in a time length descending mode;
t3: sending the serial number of the sequenced mechanical failure equipment to a mobile phone terminal of a mechanical maintenance worker, wherein the workload of the mechanical maintenance worker is added with the number of the corresponding equipment; sending the sequenced serial numbers of the electrical fault devices to a mobile phone terminal of an electrical maintenance worker, wherein the workload of the electrical maintenance worker is added with the number of the corresponding devices; sending the sequenced serial number of the mechanical and electrical fault equipment to a mobile phone terminal of a mechanical maintenance worker, setting t time by the mechanical maintenance worker, marking the equipment as the mechanical maintenance equipment after the t time, and sending the serial number of the mechanical maintenance equipment to the mobile phone terminal of the electrical maintenance worker, wherein t is the mechanical maintenance time;
t4: marking the equipment which is maintained as the maintained equipment, sequencing the maintained equipment by the time of maintaining completion, and then sending the name serial number of the sequenced maintained equipment to a database for storage;
the performance analysis unit is used for analyzing performance data of the mechanical parking space, the performance data comprise maintenance times, maintenance frequency and maintenance interval duration of the parking space, and the specific analysis process is as follows:
p1: acquiring maintenance times, maintenance frequency and maintenance interval duration of a parking space, and sequentially and correspondingly marking as Wi, Ui and Ji;
p2: by the formulaAcquiring a performance coefficient Ei of the mechanical parking space, wherein o1, o2 and o3 are all preset proportional coefficients, o1 is greater than o2 is greater than o3, and o1+ o2+ o3 is 3.01254;
p3: comparing the coefficient of performance Ei of the mechanical parking space with a coefficient of performance threshold:
if the performance coefficient Ei of the mechanical parking space is not less than the performance coefficient threshold, judging that the mechanical parking space has good performance, generating a signal with good performance, and sending the signal with good performance and the name and the serial number of the equipment to a database for storage;
if the performance coefficient Ei of the mechanical parking space is less than the performance coefficient threshold value, judging that the performance of the mechanical parking space is bad, generating a bad performance signal and sending the bad performance signal and the name serial number of the equipment to an edge computing platform, marking the equipment as overhaul equipment after the edge computing platform receives the bad performance signal and the name serial number of the equipment, sending the name serial number of the overhaul equipment to mobile phone terminals of mechanical and electrical maintenance personnel, marking the equipment as scrapped equipment after overhaul and sending the name serial number of the scrapped equipment to a mobile phone terminal of a manager if the performance coefficient of the mechanical parking space is still less than the performance coefficient threshold value;
the data updating unit is used for analyzing and updating the data stored in the database, and the specific analyzing and updating steps are as follows:
h1, acquiring the time length of data stored in the database and the query times of managers, and sequentially and correspondingly marking the time length as TT and CC;
h2, if the time TT of the data stored in the database is larger than the set threshold of the storage time and the query frequency CC of the manager is smaller than the threshold of the query frequency, marking the data as the data to be cleaned;
h3, deleting the data to be cleaned in the database, then setting the time of the next cleaning and updating, and sending the time of the next cleaning and updating to the mobile phone terminal of the manager.
The working principle of the invention is as follows: the method comprises the steps that a real-time monitoring module is used for monitoring use data of the mechanical parking space in real time, the use frequency and the use duration of the mechanical parking space are obtained in real time, the use coefficient Xi of the mechanical parking space is obtained through a formula, and the use frequency Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space are sent to an edge computing platform together; the method comprises the steps that after receiving the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space, an edge calculation platform sends the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space to a database for storage, meanwhile, the edge calculation platform records sending time and marks the sending time as sequencing time, then the sequencing time is sent to the database for storage, and the database sequences the stored use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space according to the sequencing time;
meanwhile, the edge computing platform compares the use coefficient Xi of the mechanical parking space with a use coefficient threshold value:
if the use coefficient Xi of the mechanical parking space is larger than or equal to the use coefficient threshold value, judging that the mechanical parking space is normally used, generating a normal signal, marking the equipment as normal equipment, and then sending the name serial number of the equipment to a database for storage;
and if the use coefficient Xi of the mechanical parking space is less than the use coefficient threshold value, judging that the mechanical parking space is abnormal in use, generating an abnormal signal, marking the equipment as abnormal equipment, and then sending the name serial number of the equipment and the abnormal signal to the abnormal monitoring unit.
The above formulas are all quantitative calculation, the formula is a formula obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, 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 data acquisition system based on edge calculation is characterized by comprising an edge calculation platform, an anomaly monitoring unit, a maintenance unit, a registration and login unit, a database, a real-time monitoring module and a performance analysis unit;
the real-time supervision module is used for carrying out real-time supervision to mechanical parking stall's use data, and use data includes the number of times of use, frequency of use and the length of use of mechanical parking stall, marks mechanical parking stall as i, i 1, n, and specific monitoring process is as follows:
step one, acquiring the use times of a mechanical parking space in real time, and marking the use times of the mechanical parking space as Ci;
step two, acquiring the use frequency of the mechanical parking space in real time, and marking the use frequency of the mechanical parking space as Pi;
step three, acquiring the service life of the mechanical parking space in real time, and marking the service life of the mechanical parking space as Bi;
step four, passing through a formulaObtaining a use coefficient Xi of the mechanical parking space, wherein c1, c2 and c3 are all preset proportional coefficients, c1 is greater than c2 is greater than c3, c1+ c2+ c3 is 1.65874, and beta is a correction factor and takes the value of 2.014563;
step five, sending the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space to an edge calculation platform together;
the edge computing platform receives the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space, then sends the use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space to the database for storage, records the sending time, marks the sending time as sequencing time, then sends the sequencing time to the database for storage, and the database sequences the stored use times Ci, the use frequency Pi, the use duration Bi and the use coefficient Xi of the mechanical parking space according to the sequencing time;
meanwhile, the edge computing platform compares the use coefficient Xi of the mechanical parking space with a use coefficient threshold value:
if the use coefficient Xi of the mechanical parking space is larger than or equal to the use coefficient threshold value, judging that the mechanical parking space is normally used, generating a normal signal, marking the equipment as normal equipment, and then sending the name serial number of the equipment to a database for storage;
and if the use coefficient Xi of the mechanical parking space is less than the use coefficient threshold value, judging that the mechanical parking space is abnormal in use, generating an abnormal signal, marking the equipment as abnormal equipment, and then sending the name serial number of the equipment and the abnormal signal to the abnormal monitoring unit.
2. The data acquisition system based on edge computing as claimed in claim 1, wherein the registration login unit is used for the manager and the maintainer to submit manager data and maintainer data for registration through the mobile phone terminal and send the manager data and the maintainer data which are successfully registered to the database for storage, the manager data comprises the name, the photo, the age of the manager and the mobile phone number of identity real-name authentication, the maintainer data is represented as the name, the photo, the time of employment, the maintenance type and the mobile phone terminal of identity real-name authentication of the maintainer, and the maintenance type comprises mechanical maintenance and electrical maintenance.
3. The data acquisition system based on edge calculation as claimed in claim 1, wherein the anomaly monitoring unit is configured to receive the abnormal signal and the name serial number of the abnormal device, and perform fault analysis on device information of the abnormal device, where the device information includes mechanical data and electrical data, the mechanical data is represented by yield strength, impact toughness and reduction of area of the steel structure of the mechanical parking space, and the electrical data is represented by slew rate, volume conductivity and reverse breakdown voltage of the operational amplifier, and the specific fault analysis process is as follows:
s1: acquiring the yield strength of a mechanical parking space steel structure, and marking the yield strength of the mechanical parking space steel structure as Qi, i is 1, and n is a.
S2: acquiring the impact toughness of the steel structure of the mechanical parking space, and marking the impact toughness of the steel structure of the mechanical parking space as Ri;
s3: acquiring the section shrinkage rate of the steel structure of the mechanical parking space, and marking the section shrinkage rate of the steel structure of the mechanical parking space with Si;
s4: by the formulaAcquiring a mechanical failure coefficient Ti of the parking space, wherein v1, v2 and v3 are all preset proportionsThe coefficient, v1+ v2+ v3 is 2.3654, v1 > v2 > v3, and e is a natural constant;
s5: acquiring the deflection rate of the operation and the release of the electrical box of the mechanical parking space, and marking the deflection rate of the operation and the release of the electrical box of the mechanical parking space as Vi;
s6: acquiring the volume conductivity of the electrical box for the mechanical parking space, and marking the volume conductivity of the electrical box for the mechanical parking space as Li;
s7: acquiring the reverse breakdown voltage of the electrical box of the mechanical parking space, and marking the reverse breakdown voltage of the electrical box of the mechanical parking space as Oi;
s8: by the formulaAcquiring an electrical fault coefficient Di of a parking space, wherein m1, m2 and m3 are all preset proportional coefficients, m1+ m2+ m3 is 3.021563, m1 is greater than m2 is greater than m3, and alpha is a correction factor and takes the value of 2.036541;
s9: comparing the mechanical failure coefficient Ti and the electrical failure coefficient Di of the parking space with L1 and L2 respectively, wherein L1 is a mechanical failure coefficient threshold value, and L2 is an electrical failure coefficient threshold value;
if the mechanical failure coefficient Ti is larger than or equal to L1 and the electrical failure coefficient is larger than or equal to L2, judging that the mechanical electricity of the parking space has failures, and marking the mechanical electricity as mechanical electrical failure equipment;
if the mechanical fault coefficient Ti is less than L1 and the electrical fault coefficient is more than or equal to L2, determining that the parking space has electrical fault, and marking the parking space as electrical fault equipment;
if the mechanical failure coefficient Ti is larger than or equal to L1 and the electrical failure coefficient is smaller than 2, judging that the parking space machinery has a failure, and marking the parking space machinery as mechanical failure equipment;
s10: and sending the name serial numbers of the mechanical electrical fault equipment, the electrical fault equipment and the mechanical fault equipment to the maintenance unit.
4. The data acquisition system based on edge calculation as claimed in claim 1, wherein the maintenance unit is configured to reasonably allocate maintenance personnel to the faulty device, and the allocation process is as follows:
t1: recording dates of equipment marked as mechanical electrical fault equipment, electrical fault equipment and mechanical fault equipment, and marking as fault dates;
t2: comparing the failure date with the current date to obtain the time length of the failure of the equipment, and sequencing the serial numbers of the corresponding equipment in a time length descending mode;
t3: sending the serial number of the sequenced mechanical failure equipment to a mobile phone terminal of a mechanical maintenance worker, wherein the workload of the mechanical maintenance worker is added with the number of the corresponding equipment; sending the sequenced serial numbers of the electrical fault devices to a mobile phone terminal of an electrical maintenance worker, wherein the workload of the electrical maintenance worker is added with the number of the corresponding devices; sending the sequenced serial number of the mechanical and electrical fault equipment to a mobile phone terminal of a mechanical maintenance worker, setting t time by the mechanical maintenance worker, marking the equipment as the mechanical maintenance equipment after the t time, and sending the serial number of the mechanical maintenance equipment to the mobile phone terminal of the electrical maintenance worker, wherein t is the mechanical maintenance time;
t4: marking the equipment which is maintained as the maintained equipment, sequencing the maintained equipment by the time of maintaining completion, and then sending the name serial number of the sequenced maintained equipment to a database for storage;
the performance analysis unit is used for analyzing performance data of the mechanical parking space, the performance data comprise maintenance times, maintenance frequency and maintenance interval duration of the parking space, and the specific analysis process is as follows:
p1: acquiring maintenance times, maintenance frequency and maintenance interval duration of a parking space, and sequentially and correspondingly marking as Wi, Ui and Ji;
p2: by the formulaAcquiring a performance coefficient Ei of the mechanical parking space, wherein o1, o2 and o3 are all preset proportional coefficients, o1 is greater than o2 is greater than o3, and o1+ o2+ o3 is 3.01254;
p3: comparing the coefficient of performance Ei of the mechanical parking space with a coefficient of performance threshold:
if the performance coefficient Ei of the mechanical parking space is not less than the performance coefficient threshold, judging that the mechanical parking space has good performance, generating a signal with good performance, and sending the signal with good performance and the name and the serial number of the equipment to a database for storage;
if the performance coefficient Ei of the mechanical parking space is less than the performance coefficient threshold value, judging that the performance of the mechanical parking space is bad, generating a bad performance signal, sending the bad performance signal and the name serial number of the equipment to an edge computing platform, marking the equipment as overhaul equipment after the edge computing platform receives the bad performance signal and the name serial number of the equipment, sending the name serial number of the overhaul equipment to mobile phone terminals of mechanical and electrical maintenance personnel, marking the equipment as scrapped equipment after overhaul, and sending the name serial number of the scrapped equipment to a mobile phone terminal of a manager if the performance coefficient of the mechanical parking space is still less than the performance coefficient threshold value.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011060487.4A CN112148777A (en) | 2020-09-30 | 2020-09-30 | Data acquisition system based on edge calculation |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011060487.4A CN112148777A (en) | 2020-09-30 | 2020-09-30 | Data acquisition system based on edge calculation |
Publications (1)
Publication Number | Publication Date |
---|---|
CN112148777A true CN112148777A (en) | 2020-12-29 |
Family
ID=73951282
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011060487.4A Withdrawn CN112148777A (en) | 2020-09-30 | 2020-09-30 | Data acquisition system based on edge calculation |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112148777A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112687138A (en) * | 2020-12-30 | 2021-04-20 | 广州仁知初教育科技有限公司 | Interactive teaching platform based on Internet of things |
CN113010797A (en) * | 2021-04-15 | 2021-06-22 | 王美珍 | Smart city data sharing method and system based on cloud platform |
CN113163318A (en) * | 2021-05-10 | 2021-07-23 | 深圳市美恩微电子有限公司 | Call Bluetooth headset based on ENC noise reduction |
CN113291234A (en) * | 2021-04-29 | 2021-08-24 | 安徽泗州拖拉机制造有限公司 | Tractor trouble early warning system based on thing networking |
-
2020
- 2020-09-30 CN CN202011060487.4A patent/CN112148777A/en not_active Withdrawn
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112687138A (en) * | 2020-12-30 | 2021-04-20 | 广州仁知初教育科技有限公司 | Interactive teaching platform based on Internet of things |
CN112687138B (en) * | 2020-12-30 | 2022-05-03 | 江苏传智播客教育科技股份有限公司 | Interactive teaching platform based on Internet of things |
CN113010797A (en) * | 2021-04-15 | 2021-06-22 | 王美珍 | Smart city data sharing method and system based on cloud platform |
CN113291234A (en) * | 2021-04-29 | 2021-08-24 | 安徽泗州拖拉机制造有限公司 | Tractor trouble early warning system based on thing networking |
CN113163318A (en) * | 2021-05-10 | 2021-07-23 | 深圳市美恩微电子有限公司 | Call Bluetooth headset based on ENC noise reduction |
CN113163318B (en) * | 2021-05-10 | 2022-04-29 | 深圳市美恩微电子有限公司 | Call Bluetooth headset based on ENC noise reduction |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112148777A (en) | Data acquisition system based on edge calculation | |
CN106815373B (en) | Distribution network first-aid repair big data display method and system based on BI analysis | |
CN103400310A (en) | Method for evaluating power distribution network electrical equipment state based on historical data trend prediction | |
CN110879327B (en) | 10KV line monitoring method by multi-data fusion | |
CN109948877B (en) | Power consumption anomaly accurate analysis method based on anomaly event combination | |
CN112307003B (en) | Power grid data multidimensional auxiliary analysis method, system, terminal and readable storage medium | |
CN108764501A (en) | A kind of analysis of line loss problem and defect elimination processing method | |
CN112769899A (en) | Network cabinet production automation equipment data detection system based on Internet of things | |
CN113077128B (en) | Heterogeneous industrial data intelligent analysis system based on user drive | |
CN106817708B (en) | A kind of inspection cluster construction method and device | |
CN110738458A (en) | Engineering cost management system and method | |
CN102800030A (en) | Comprehensive reliability interactive iteration assessment method for regional power grid relay protection equipment | |
CN106780125A (en) | A kind of acquisition abnormity urgency level computational methods based on monthly power consumption | |
CN116523502A (en) | Intelligent production line operation and maintenance management alarm system | |
CN113487051B (en) | Power distribution network fault first-aid repair maintenance data processing method and equipment and computer storage medium | |
CN114928168A (en) | Offshore platform unmanned data edge computing device | |
CN114069843A (en) | Alarm method for misoperation of transformer substation | |
CN106814268A (en) | A kind of big data analysis method based on intermittent defect | |
CN117611103A (en) | Data acquisition and analysis method and device based on 5G technology | |
CN109035062A (en) | A kind of client's electricity charge anomaly analysis and tactful application system | |
CN116050716B (en) | Intelligent park management control platform based on Internet | |
CN111698711B (en) | Analysis method and analysis system for intelligent diagnosis of public network wireless communication channel faults | |
CN108846552B (en) | Distribution network automation terminal defect analysis system and method thereof | |
CN113282594B (en) | Automatic extraction and analysis method and system for basic data of distribution transformer | |
CN107450030B (en) | Communication storage battery telemetry data processing method, device and system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WW01 | Invention patent application withdrawn after publication | ||
WW01 | Invention patent application withdrawn after publication |
Application publication date: 20201229 |