CN111275213B - Mechanical equipment fault monitoring system based on big data - Google Patents
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Abstract
The invention discloses a big data-based mechanical equipment fault monitoring system which is used for solving the problems that the maintenance cost of the mechanical equipment is increased due to the fact that the existing mechanical equipment is completely damaged and stops working and then is informed, and the maintenance efficiency is low due to the fact that a maintenance worker does not check a maintenance instruction in time or the mechanical equipment maintained by the maintenance worker is too much; the system comprises a sensor module, a data acquisition module, a data analysis module, a server, a registration and login module, a fault reminding module, a fault uploading module and an acquisition and calculation module; according to the invention, the fault value of the mechanical equipment is obtained by screening, overlapping and calculating the sound frequency of the mechanical equipment, so that a maintainer is reminded of maintaining the mechanical equipment in time, and the mechanical equipment is prevented from being completely damaged, stopping working and then being notified, and the maintenance cost of the mechanical equipment is increased; sending a maintenance reminding instruction to a mobile phone terminal of the selected maintainer; and the maintenance personnel can be conveniently and timely informed and selected for maintenance.
Description
Technical Field
The invention relates to the technical field of mechanical equipment fault monitoring, in particular to a mechanical equipment fault monitoring system based on big data.
Background
Mechanical devices are of a wide variety, and some of their components, even themselves, may undergo different forms of mechanical movement when the mechanical device is in operation. The mechanical equipment consists of a driving device, a speed changing device, a transmission device, a working device, a braking device, a protection device, a lubricating system, a cooling system and the like. In industrial production, mechanical equipment can have a fault problem after being used for a long time;
therefore, the fault of the mechanical equipment needs to be monitored, although the internet sensor is used for acquiring data, the system relies on the internet big data for analysis, so as to remotely monitor and predict the fault of the equipment in real time, and an equipment monitoring and fault diagnosis cloud system is developed and connected with various equipment sensors and an APP terminal, so that the online real-time monitoring and visual alarm of the equipment are realized, and the fault of the equipment is found in time; but has the following disadvantages: the problem that the maintenance personnel can not reasonably distribute to the corresponding maintenance personnel for maintenance and can not determine the timely knowledge of the maintenance personnel.
Disclosure of Invention
The invention aims to provide a mechanical equipment fault monitoring system based on big data, and the system can obtain the fault value of the mechanical equipment by screening, overlapping and calculating the working sound frequency of the mechanical equipment, thereby reminding a maintainer to maintain in time, and avoiding the phenomenon that the mechanical equipment is completely damaged and stops working and then is informed, so that the maintenance cost of the mechanical equipment is increased; sending a maintenance reminding instruction to a mobile phone terminal of the selected maintainer; the maintenance personnel can be conveniently informed and selected in time for maintenance;
the technical problem to be solved by the invention is as follows:
1. how to screen, overlap and calculate the sound frequency that the mechanical equipment works and obtain the fault value of the mechanical equipment, maintain and judge the mechanical equipment through the fault value, solve the existing mechanical equipment totally damage and stop working and then notify, cause the maintenance cost of the mechanical equipment to increase and maintenance personnel to not look over the maintenance order in time or maintenance personnel maintain too many mechanical equipment cause slow problem of maintenance efficiency;
the purpose of the invention can be realized by the following technical scheme: a big data-based mechanical equipment fault monitoring system comprises a sensor module, a data acquisition module, a data analysis module, a server, a registration and login module, a fault reminding module, a fault uploading module and an acquisition and calculation module;
the sensor module is used for acquiring the sound frequency of the mechanical equipment during working through the sensor and sending the sound frequency to the server; the data acquisition module is used for acquiring sensor information and sending the sensor information to the server; the sensor information comprises electrifying duration, sending times, mechanical equipment names corresponding to the sensors, mechanical equipment positions and maintenance times of the mechanical equipment;
the data analysis module is used for acquiring sound frequency and sensor information stored in the server and performing fault analysis, and the specific analysis steps are as follows:
the method comprises the following steps: setting the sensors as Ci, i is 1, … … and n, and n is a positive integer;
step two: screening the sound frequency, and eliminating the sound frequency of which the sound frequency is not in a preset range;
step three: sorting the screened sound frequencies according to a time sequence and sequentially connecting the sound frequencies to form a sound oscillogram;
step four: overlapping the sound oscillogram with the comparison oscillogram, and selecting the time when the overlapping number of the sound frequencies is the most; overlapping the sound oscillogram and the comparison oscillogram to obtain an overlapping graph; placing the overlay image on the white shading image; at the same time, coating black on the closed area formed between the sound oscillogram and the comparison oscillogram;
step five: photographing the overlapped image to obtain an overlapped photo, and magnifying the overlapped photo by a plurality of times to form a pixel grid overlapped photo; the number of pixel cells overlapping the black pixel cells in the photograph is counted and labeled GCi；
Step six: setting the energization time period of the sensor as TCi(ii) a The number of sensor transmissions is noted as PCi；
Step seven: using formulas
Obtaining a fault value Z of the mechanical equipment corresponding to the sensorCi(ii) a Wherein d1, d2 and d3 are all preset proportionality coefficients, mu is a correction factor, and the value is 0.9365; λ is an error interference value, and the value is 2.872;
step eight: when the fault value is larger than the set threshold value, generating a fault signal and sending the position of the mechanical equipment and the name of the mechanical equipment corresponding to the sensor to a fault reminding module;
the fault reminding module receives the fault signal and carries out reminding processing, and the specific reminding processing steps are as follows:
s1: acquiring maintainers and information of the maintainers corresponding to the names of the mechanical devices; marking the maintainer as Wj, j ═ 1, … …, n;
s2: the number to be maintained corresponding to the maintenance personnel is set and recorded as M1Wj(ii) a The total number of repairs by the repairman was recorded as M2Wj(ii) a Set the age of the maintainer as NWj；
S3: obtaining the attendance time of the maintainer according to the attendance time of the maintainer and the current time of the system, and marking as TWj;
s4: using formulas
Obtaining a reminder value TX of a servicemanWj(ii) a Wherein f1, f2, f3, f4 and f5 are all preset proportionality coefficients; WQWj is the undetermined number of maintenance personnel;
s5: selecting the maintainer with the largest reminding value as the selected maintainer; the fault reminding module sends a maintenance reminding instruction to a mobile phone terminal of a selected maintainer; when a selected maintainer sends a confirmation instruction to the fault reminding module within a preset time range, the number to be maintained of the selected maintainer is increased by one, and meanwhile, the fault reminding module sends the name and the position of the mechanical equipment to be maintained to a mobile phone terminal of the selected maintainer; when the selected maintainer does not send a confirmation instruction within a preset time range, increasing the undetermined times of the selected maintainer once, marking the maintainer with the next reminding value as the selected maintainer, and sending a maintenance reminding instruction to a mobile phone terminal of the selected maintainer; and so on.
Further, the registration login module is used for a maintainer to submit information of the maintainer to register and send the information of the maintainer who is successfully registered to the server for storage; the serviceman information includes a name, a name of the maintenance machine, an enrollment time, and an age.
Further, the fault uploading module is used for uploading fault information of the mechanical equipment by a maintainer, and the uploading process specifically comprises the following steps: when a maintainer arrives at a mechanical device to be maintained, sending the current location to a fault uploading module through a mobile phone terminal; the fault uploading module acquires the mechanical equipment to be maintained and the position of the maintainer in the server after receiving the mobile phone terminal positioning, matches the mobile phone terminal positioning with the position of the mechanical equipment, and matches the mobile phone terminal positioning with the position of the mechanical equipment when the matching is successful; the fault uploading module sends a maintenance instruction to a mobile phone terminal of a maintainer; after the mobile phone terminal of the maintainer receives the maintenance instruction, the maintenance is carried out, and after the maintenance is finished, a fault point picture of the mechanical equipment and a fault point picture after the maintenance are shot through the mobile phone terminal and sent to the fault uploading module together with the fault maintenance information; the fault uploading module sends the received fault point picture of the mechanical equipment, the fault point picture after maintenance and fault maintenance information to a server for storage, and the total maintenance times of the maintainer are increased once; the number of the maintenance personnel to be maintained is reduced by one; the fault maintenance information is the names of the damaged parts and the replaced parts of the mechanical equipment input by the maintenance personnel through the mobile phone terminal.
Further, the acquisition calculation module is used for analyzing and calculating the acquisition duration of the sensor corresponding to the mechanical equipment, and the specific calculation steps are as follows:
the method comprises the following steps: mechanical equipment J corresponding to sensorCiSetting a preset value corresponding to the mechanical equipment as Hi; 1, … …, n;
step two: mechanical equipment JCiMatching with a corresponding preset value of the mechanical equipment to obtain a corresponding preset value Hi;
step three: setting the maintenance frequency of mechanical equipment as PJCi；
Step four: using formulas
Acquiring acquisition duration A of a sensor corresponding to mechanical equipmentCi(ii) a Wherein k1 and k2 are both preset proportionality coefficients; PU is a preset time scale coefficient;
step five: the acquisition calculation module calculates the acquisition time length A of the sensorCiSending the data to a server;
the server receives the acquisition time length of the sensor, when the time difference between the last sending time of the sensor and the current time of the system is equal to the acquisition time length, the server generates an acquisition instruction and sends the acquisition instruction to the sensor module, and the sensor module receives the acquisition instruction, acquires the sound frequency of the mechanical equipment during working and sends the sound frequency to the server.
Compared with the prior art, the invention has the beneficial effects that:
1. the sound frequency of mechanical equipment during working is collected through the sensor and is sent to the server; the data acquisition module is used for acquiring sensor information and sending the sensor information to the server; the data analysis module is used for acquiring sound frequencies and sensor information stored in the server, performing fault analysis, screening the sound frequencies, and eliminating the sound frequencies of which the sound frequencies are not in a preset range; sorting the screened sound frequencies according to a time sequence and sequentially connecting the sound frequencies to form a sound oscillogram; overlapping the sound oscillogram with the comparison oscillogram, and selecting the time when the overlapping number of the sound frequencies is the most; overlapping the sound oscillogram and the comparison oscillogram to obtain an overlapping graph; placing the overlay image on the white shading image; at the same time, coating black on the closed area formed between the sound oscillogram and the comparison oscillogram; photographing the overlapped image to obtain an overlapped photo, and magnifying the overlapped photo by a plurality of times to form a pixel grid overlapped photo; counting the number of black pixel grids in the pixel grid overlapped picture, and acquiring a fault value of the sensor corresponding to the mechanical equipment by using a formula; when the fault value is larger than the set threshold value, generating a fault signal and sending the position of the mechanical equipment and the name of the mechanical equipment corresponding to the sensor to a fault reminding module; the fault value of the mechanical equipment is obtained by screening, overlapping and calculating the sound frequency of the mechanical equipment, so that a maintainer is reminded of maintaining the mechanical equipment in time, and the mechanical equipment is prevented from being completely damaged, stopping working and then being notified, and the maintenance cost of the mechanical equipment is increased;
2. the fault reminding module receives the fault signal and carries out reminding processing to obtain a maintainer and maintainer information corresponding to the name of the mechanical equipment; acquiring the attendance duration of a maintainer according to the attendance time of the maintainer and the current time of the system, and acquiring a reminding value of the maintainer by using a formula; selecting the maintainer with the largest reminding value as the selected maintainer; the fault reminding module sends a maintenance reminding instruction to a mobile phone terminal of a selected maintainer; when a selected maintainer sends a confirmation instruction to the fault reminding module within a preset time range, the number to be maintained of the selected maintainer is increased by one, and meanwhile, the fault reminding module sends the name and the position of the mechanical equipment to be maintained to a mobile phone terminal of the selected maintainer; when the selected maintainer does not send a confirmation instruction within a preset time range, increasing the undetermined times of the selected maintainer once, marking the maintainer with the next reminding value as the selected maintainer, and sending a maintenance reminding instruction to a mobile phone terminal of the selected maintainer; the maintenance efficiency is low because the maintenance personnel can conveniently and timely inform and select the maintenance personnel to maintain, and the maintenance personnel can avoid not checking the maintenance instruction in time or the mechanical equipment maintained by the maintenance personnel is too much.
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 a big data based mechanical equipment fault monitoring system according to 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 big data-based mechanical equipment fault monitoring system includes a sensor module, a data acquisition module, a data analysis module, a server, a registration and login module, a fault prompt module, a fault upload module, and an acquisition and calculation module;
the sensor module is used for acquiring the sound frequency of the mechanical equipment during working through the sensor and sending the sound frequency to the server; the data acquisition module is used for acquiring sensor information and sending the sensor information to the server; the sensor information comprises electrifying duration, sending times, mechanical equipment names corresponding to the sensors, mechanical equipment positions and maintenance times of the mechanical equipment;
the data analysis module is used for acquiring sound frequency and sensor information stored in the server and performing fault analysis, and the specific analysis steps are as follows:
the method comprises the following steps: setting the sensors as Ci, i is 1, … … and n, and n is a positive integer;
step two: screening the sound frequency, and eliminating the sound frequency of which the sound frequency is not in a preset range;
step three: sorting the screened sound frequencies according to a time sequence and sequentially connecting the sound frequencies to form a sound oscillogram;
step four: overlapping the sound oscillogram with the comparison oscillogram, and selecting the time when the overlapping number of the sound frequencies is the most; overlapping the sound oscillogram and the comparison oscillogram to obtain an overlapping graph; placing the overlay image on the white shading image; at the same time, coating black on the closed area formed between the sound oscillogram and the comparison oscillogram;
step five: photographing the overlapped image to obtain an overlapped photo, and magnifying the overlapped photo by a plurality of times to form a pixel grid overlapped photo; the number of pixel cells overlapping the black pixel cells in the photograph is counted and labeled GCi；
Step six: setting the energization time period of the sensor as TCi(ii) a The number of sensor transmissions is noted as PCi；
Step seven: using formulas
Obtaining a fault value Z of the mechanical equipment corresponding to the sensorCi(ii) a Wherein d1, d2 and d3 are all preset proportionality coefficients, mu is a correction factor, and the value is 0.9365; λ is an error interference value, and the value is 2.872;
step eight: when the fault value is larger than the set threshold value, generating a fault signal and sending the position of the mechanical equipment and the name of the mechanical equipment corresponding to the sensor to a fault reminding module;
the fault reminding module receives the fault signal and carries out reminding processing, and the specific reminding processing steps are as follows:
s1: acquiring maintainers and information of the maintainers corresponding to the names of the mechanical devices; marking the maintainer as Wj, j ═ 1, … …, n;
s2: the number to be maintained corresponding to the maintenance personnel is set and recorded as M1Wj(ii) a The total number of repairs by the repairman was recorded as M2Wj(ii) a Set the age of the maintainer as NWj；
S3: obtaining the attendance time of the maintainer according to the attendance time of the maintainer and the current time of the system, and marking the attendance time as TWj；
S4: using formulas
Obtaining a reminder value TX of a servicemanWj(ii) a Wherein f1, f2, f3, f4 and f5 are all preset proportionality coefficients; WQWjFor maintenanceAn undetermined number of members; the reminding value is larger as the time of the entry of the maintainer is longer, and the probability that the mechanical equipment informs the maintainer is higher; the smaller the number of the maintainers to be maintained is, the larger the reminding value is; the more the total maintenance times of the maintainers are, the larger the reminding value is; the closer the age of the serviceman is to forty, the greater the reminder value; the larger the undetermined times of the maintenance personnel are, the smaller the reminding value is;
s5: selecting the maintainer with the largest reminding value as the selected maintainer; the fault reminding module sends a maintenance reminding instruction to a mobile phone terminal of a selected maintainer; when a selected maintainer sends a confirmation instruction to the fault reminding module within a preset time range, the number to be maintained of the selected maintainer is increased by one, and meanwhile, the fault reminding module sends the name and the position of the mechanical equipment to be maintained to a mobile phone terminal of the selected maintainer; when the selected maintainer does not send a confirmation instruction within a preset time range, increasing the undetermined times of the selected maintainer once, marking the maintainer with the next reminding value as the selected maintainer, and sending a maintenance reminding instruction to a mobile phone terminal of the selected maintainer; and so on;
the registration login module is used for submitting information of a maintainer to register and sending the information of the maintainer who successfully registers to the server for storage; the maintainer information includes name, name of the maintenance machine, time of employment, and age;
the fault uploading module is used for uploading fault information of the mechanical equipment by a maintainer, and the uploading process is as follows: when a maintainer arrives at a mechanical device to be maintained, sending the current location to a fault uploading module through a mobile phone terminal; the fault uploading module acquires the mechanical equipment to be maintained and the position of the maintainer in the server after receiving the mobile phone terminal positioning, matches the mobile phone terminal positioning with the position of the mechanical equipment, and matches the mobile phone terminal positioning with the position of the mechanical equipment when the matching is successful; the fault uploading module sends a maintenance instruction to a mobile phone terminal of a maintainer; after the mobile phone terminal of the maintainer receives the maintenance instruction, the maintenance is carried out, and after the maintenance is finished, a fault point picture of the mechanical equipment and a fault point picture after the maintenance are shot through the mobile phone terminal and sent to the fault uploading module together with the fault maintenance information; the fault uploading module sends the received fault point picture of the mechanical equipment, the fault point picture after maintenance and fault maintenance information to a server for storage, and the total maintenance times of the maintainer are increased once; the number of the maintenance personnel to be maintained is reduced by one; the fault maintenance information is the names of damaged parts and replaced parts of the mechanical equipment input by a maintenance worker through a mobile phone terminal;
the acquisition calculation module is used for analyzing and calculating the acquisition duration of the sensor corresponding to the mechanical equipment, and comprises the following specific calculation steps:
the method comprises the following steps: mechanical equipment J corresponding to sensorCiSetting a preset value corresponding to the mechanical equipment as Hi; 1, … …, n;
step two: mechanical equipment JCiMatching with a corresponding preset value of the mechanical equipment to obtain a corresponding preset value Hi;
step three: setting the maintenance frequency of mechanical equipment as PJCi；
Step four: using formulas
Acquiring acquisition duration A of a sensor corresponding to mechanical equipmentCi(ii) a Wherein k1 and k2 are both preset proportionality coefficients; PU is a preset time scale coefficient; the acquisition frequency of the sensor corresponding to the mechanical equipment is slower as the acquisition time is longer and the preset value corresponding to the mechanical equipment is larger; the smaller the maintenance frequency is, the longer the acquisition time is;
step five: the acquisition calculation module calculates the acquisition time length A of the sensorCiSending the data to a server;
the server receives the acquisition time length of the sensor, when the time difference between the last sending time of the sensor and the current time of the system is equal to the acquisition time length, the server generates an acquisition instruction and sends the acquisition instruction to the sensor module, and the sensor module receives the acquisition instruction, acquires the sound frequency of the mechanical equipment during working and sends the sound frequency to the server.
The working principle of the invention is as follows: acquisition of the operation of a mechanical device by means of a sensorSending the sound frequency to the server; the data acquisition module is used for acquiring sensor information and sending the sensor information to the server; the data analysis module is used for acquiring sound frequencies and sensor information stored in the server, performing fault analysis, screening the sound frequencies, and eliminating the sound frequencies of which the sound frequencies are not in a preset range; sorting the screened sound frequencies according to a time sequence and sequentially connecting the sound frequencies to form a sound oscillogram; overlapping the sound oscillogram with the comparison oscillogram, and selecting the time when the overlapping number of the sound frequencies is the most; overlapping the sound oscillogram and the comparison oscillogram to obtain an overlapping graph; placing the overlay image on the white shading image; at the same time, coating black on the closed area formed between the sound oscillogram and the comparison oscillogram; photographing the overlapped image to obtain an overlapped photo, and magnifying the overlapped photo by a plurality of times to form a pixel grid overlapped photo; counting the number of black pixel grids in the overlapped picture, and utilizing a formula
Acquiring a fault value of the mechanical equipment corresponding to the sensor; when the fault value is larger than the set threshold value, generating a fault signal and sending the position of the mechanical equipment and the name of the mechanical equipment corresponding to the sensor to a fault reminding module; the fault value of the mechanical equipment is obtained by screening, overlapping and calculating the sound frequency of the mechanical equipment, so that a maintainer is reminded of maintaining the mechanical equipment in time, and the mechanical equipment is prevented from being completely damaged, stopping working and then being notified, and the maintenance cost of the mechanical equipment is increased; the fault reminding module receives the fault signal and carries out reminding processing to obtain a maintainer and maintainer information corresponding to the name of the mechanical equipment; obtaining the attendance time of the maintainer according to the attendance time of the maintainer and the current time of the system, and utilizing a formula
Acquiring a reminding value of a maintainer; selecting the maintainer with the largest reminding value as the selected maintainer; the fault reminding module sends a maintenance reminding instruction to a mobile phone terminal of a selected maintainer; when being selected, the maintainer is in a preset time rangeSending a confirmation instruction to the fault reminding module in the enclosure, increasing the number to be maintained of the selected maintainers by one, and sending the names and the positions of the mechanical equipment to be maintained to the mobile phone terminal of the selected maintainer by the fault reminding module; when the selected maintainer does not send a confirmation instruction within a preset time range, increasing the undetermined times of the selected maintainer once, marking the maintainer with the next reminding value as the selected maintainer, and sending a maintenance reminding instruction to a mobile phone terminal of the selected maintainer; the maintenance efficiency is low because the maintenance personnel can conveniently and timely inform and select the maintenance personnel to maintain, and the maintenance personnel can avoid not checking the maintenance instruction in time or the mechanical equipment maintained by the maintenance personnel is too much.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (4)
1. A big data-based mechanical equipment fault monitoring system is characterized by comprising a sensor module, a data acquisition module, a data analysis module, a server, a registration login module, a fault reminding module, a fault uploading module and a collection calculation module;
the sensor module is used for acquiring the sound frequency of the mechanical equipment during working through the sensor and sending the sound frequency to the server; the data acquisition module is used for acquiring sensor information and sending the sensor information to the server; the sensor information comprises electrifying duration, sending times, mechanical equipment names corresponding to the sensors, mechanical equipment positions and maintenance times of the mechanical equipment;
the data analysis module is used for acquiring sound frequency and sensor information stored in the server and performing fault analysis, and the specific analysis steps are as follows:
the method comprises the following steps: setting the sensors as Ci, i is 1, … … and n, and n is a positive integer;
step two: screening the sound frequency, and eliminating the sound frequency of which the sound frequency is not in a preset range;
step three: sorting the screened sound frequencies according to a time sequence and sequentially connecting the sound frequencies to form a sound oscillogram;
step four: overlapping the sound oscillogram with the comparison oscillogram, and selecting the time when the overlapping number of the sound frequencies is the most; overlapping the sound oscillogram and the comparison oscillogram to obtain an overlapping graph; placing the overlay image on the white shading image; at the same time, coating black on the closed area formed between the sound oscillogram and the comparison oscillogram;
step five: photographing the overlapped image to obtain an overlapped photo, and magnifying the overlapped photo by a plurality of times to form a pixel grid overlapped photo; the number of pixel cells overlapping the black pixel cells in the photograph is counted and labeled GCi；
Step six: setting the energization time period of the sensor as TCi(ii) a The number of sensor transmissions is noted as PCi；
Step seven: using formulas
Obtaining a fault value Z of the mechanical equipment corresponding to the sensorCi(ii) a Wherein d1, d2 and d3 are all preset proportionality coefficients, mu is a correction factor, and the value is 0.9365; λ is an error interference value, and the value is 2.872;
step eight: when the fault value is larger than the set threshold value, generating a fault signal and sending the position of the mechanical equipment and the name of the mechanical equipment corresponding to the sensor to a fault reminding module;
the fault reminding module receives the fault signal and carries out reminding processing, and the specific reminding processing steps are as follows:
s1: acquiring maintainers and information of the maintainers corresponding to the names of the mechanical devices; marking the maintainer as Wj, j ═ 1, … …, n;
s2: setting upThe number to be maintained corresponding to the maintainer is recorded as M1Wj(ii) a The total number of repairs by the repairman was recorded as M2Wj(ii) a Set the age of the maintainer as NWj；
S3: obtaining the attendance time of the maintainer according to the attendance time of the maintainer and the current time of the system, and marking the attendance time as TWj；
S4: using formulas
Obtaining a reminder value TX of a servicemanWj(ii) a Wherein f1, f2, f3, f4 and f5 are all preset proportionality coefficients; WQWjAn undetermined number of times for a serviceman;
s5: selecting the maintainer with the largest reminding value as the selected maintainer; the fault reminding module sends a maintenance reminding instruction to a mobile phone terminal of a selected maintainer; when a selected maintainer sends a confirmation instruction to the fault reminding module within a preset time range, the number to be maintained of the selected maintainer is increased by one, and meanwhile, the fault reminding module sends the name and the position of the mechanical equipment to be maintained to a mobile phone terminal of the selected maintainer; when the selected maintainer does not send a confirmation instruction within a preset time range, increasing the undetermined times of the selected maintainer once, marking the maintainer with the next reminding value as the selected maintainer, and sending a maintenance reminding instruction to a mobile phone terminal of the selected maintainer; and so on.
2. The big data-based mechanical equipment fault monitoring system according to claim 1, wherein the registration login module is used for a maintainer to submit maintainer information for registration and send the maintainer information with successful registration to the server for storage; the serviceman information includes a name, a name of the maintenance machine, an enrollment time, and an age.
3. The big-data-based mechanical equipment fault monitoring system according to claim 1, wherein the fault uploading module is used for a maintenance worker to upload fault information of mechanical equipment, and the uploading process specifically comprises: when a maintainer arrives at a mechanical device to be maintained, sending the current location to a fault uploading module through a mobile phone terminal; the fault uploading module acquires the mechanical equipment to be maintained and the position of the maintainer in the server after receiving the mobile phone terminal positioning, matches the mobile phone terminal positioning with the position of the mechanical equipment, and matches the mobile phone terminal positioning with the position of the mechanical equipment when the matching is successful; the fault uploading module sends a maintenance instruction to a mobile phone terminal of a maintainer; after the mobile phone terminal of the maintainer receives the maintenance instruction, the maintenance is carried out, and after the maintenance is finished, a fault point picture of the mechanical equipment and a fault point picture after the maintenance are shot through the mobile phone terminal and sent to the fault uploading module together with the fault maintenance information; the fault uploading module sends the received fault point picture of the mechanical equipment, the fault point picture after maintenance and fault maintenance information to a server for storage, and the total maintenance times of the maintainer are increased once; the number of the maintenance personnel to be maintained is reduced by one; the fault maintenance information is the names of the damaged parts and the replaced parts of the mechanical equipment input by the maintenance personnel through the mobile phone terminal.
4. The mechanical equipment fault monitoring system based on big data as claimed in claim 1, wherein said acquisition calculation module is used for analyzing and calculating the acquisition duration of the sensor corresponding to the mechanical equipment, and the specific calculation steps are as follows:
the method comprises the following steps: mechanical equipment J corresponding to sensorCiSetting a preset value corresponding to the mechanical equipment as Hi; 1, … …, n;
step two: mechanical equipment JCiMatching with a corresponding preset value of the mechanical equipment to obtain a corresponding preset value Hi;
step three: setting the maintenance frequency of mechanical equipment as PJCi；
Step four: using formulas
Acquiring acquisition duration A of a sensor corresponding to mechanical equipmentCi(ii) a Wherein k1 and k2 are both preset proportionality coefficients; PU is a preset time scale factor；
Step five: the acquisition calculation module calculates the acquisition time length A of the sensorCiSending the data to a server; the server receives the acquisition time length of the sensor, when the time difference between the last sending time of the sensor and the current time of the system is equal to the acquisition time length, the server generates an acquisition instruction and sends the acquisition instruction to the sensor module, and the sensor module receives the acquisition instruction, acquires the sound frequency of the mechanical equipment during working and sends the sound frequency to the server.
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