CN111947714A - Petrochemical machinery fault monitoring system based on big data - Google Patents
Petrochemical machinery fault monitoring system based on big data Download PDFInfo
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- CN111947714A CN111947714A CN202010789925.4A CN202010789925A CN111947714A CN 111947714 A CN111947714 A CN 111947714A CN 202010789925 A CN202010789925 A CN 202010789925A CN 111947714 A CN111947714 A CN 111947714A
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Abstract
The invention discloses a petrochemical machinery fault monitoring system based on big data, which is used for solving the problems that the prior art can not accurately monitor the working environment of petrochemical machinery, does not carry out daily point inspection on the petrochemical machinery, and does not carry out analysis and early warning on the result of the daily point inspection; and equipment point inspection and maintenance are carried out on the petrochemical machinery, and timely maintenance is carried out on maintenance results, so that the petrochemical machinery can normally work.
Description
Technical Field
The invention relates to a fault monitoring system, in particular to a petrochemical machinery fault monitoring system based on big data.
Background
With the rapid development of economy in China, the demand on petroleum is increased day by day, however, the corrosion of petrochemical equipment not only influences the daily transportation of the petroleum, but also causes huge economic loss to related chemical and petroleum enterprises. The method needs related personnel to fully recognize the importance of protection and monitoring of the corrosion of the petrochemical equipment, increases the research and summarization of the corrosion rules of the equipment under different media and different working conditions of different environments, practically protects and detects the corrosion of the petrochemical equipment, carries out reasonable structural design on the mechanical equipment, correctly selects and uses materials, selects the optimal corrosion protection measure, and has very important significance for improving the safety, reliability and economic benefit of the petrochemical equipment in the use process.
In order to solve the above technical problems, the present invention provides the following technical solutions.
Disclosure of Invention
The invention aims to provide a petrochemical machinery fault monitoring system based on big data, which is used for solving the problems that the prior art can not accurately monitor the working environment of petrochemical machinery, does not carry out daily point inspection on the petrochemical machinery, and does not carry out analysis and early warning on the result of the daily point inspection; and equipment point inspection and maintenance are carried out on the petrochemical machinery, and timely maintenance is carried out on maintenance results, so that the petrochemical machinery can normally work.
The technical problem to be solved by the invention is as follows:
1. how to calculate the influence of the environment on the normal work of the petrochemical machinery by acquiring the ambient air pressure, the ambient temperature and the ambient humidity of the petrochemical machinery and how to react to the influence;
2. how to carry out fault early warning on petrochemical machinery according to daily point inspection and maintenance results and how to carry out correct and efficient maintenance and repair on early warning;
3. how to predict the failure of the petrochemical machinery according to the daily point inspection and maintenance results.
The purpose of the invention can be realized by the following technical scheme:
a petrochemical machinery fault monitoring system based on big data comprises an acquisition module, an analysis module, a management module, a server, an execution module, a prediction module and a display module;
the acquisition module is used for obtaining petrochemical industry mechanical environment information to send petrochemical industry mechanical environment information to the analysis module, the analysis module is used for carrying out analysis to petrochemical industry mechanical environment information, and concrete analysis step is as follows:
the method comprises the following steps: acquiring the environmental air pressure, the environmental temperature and the environmental humidity of the petrochemical machinery, and sending the environmental air pressure, the environmental temperature and the environmental humidity to an analysis module;
step two: the analysis module receives the environmental pressure, the environmental temperature and the environmental humidity, and respectively marks the environmental pressure, the environmental temperature and the environmental humidity as: pt, Tt, St, where t represents the acquisition time;
step three: calculating an environmental impact value Ht of the petrochemical machinery by using a formula; is calculated by the formula
Wherein Pmax, Pmin, Tmax, Tmin, Smax and Smin respectively correspond to the upper and lower limit values of the preset environmental air pressure, environmental temperature and environmental humidity of petrochemical machinery, alpha, beta and gamma are fixed values of preset proportions, e is a natural constant which is an infinite non-circulating decimal, and the value is taken as e-2.718281828459;
step four:
A. if the environmental impact value Ht of the petrochemical machinery is greater than the preset environmental impact threshold value, the analysis module sends an adjusting instruction to the execution module, compares the current environmental pressure, the environmental temperature and the environmental humidity with the preset environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity of the petrochemical machinery, compares the current environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity exceeding the preset environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity exceeding the working of the petrochemical machinery, sends the exceeding numerical values to the display module, and sends the current environmental pressure, the environmental temperature, the environmental humidity and the environmental impact value Ht to the server for storage;
B. if the environmental impact value Ht of the petrochemical machinery is smaller than a preset environmental impact threshold value, the analysis module directly sends the current environmental air pressure, the environmental temperature, the environmental humidity and the environmental impact value Ht to a server for storage;
step five: after receiving the adjusting instruction, the execution module adjusts the current ambient air pressure, ambient temperature and ambient humidity until the current ambient air pressure, ambient temperature and ambient humidity are restored to be within the upper and lower limit values of the preset ambient air pressure, ambient temperature and ambient humidity of the petrochemical machinery;
the management module is used for managing the daily working state and the spot inspection state of the petrochemical machinery, and comprises the following specific management steps:
s1: acquiring position information of the petrochemical machinery, numbering the positions of the petrochemical machinery, and marking as i, wherein i is 1, … and n;
s2: a manager writes a petrochemical machinery point inspection and maintenance record table by reading a maintenance specification of the petrochemical machinery, wherein the maintenance record table comprises point inspection items and a maintenance period;
s3: before the operators go on duty every day, the operators perform spot inspection on petrochemical mechanical equipment according to the spot inspection of the petrochemical machinery and the maintenance record table, and send spot inspection results to the management module;
s31: after receiving the petrochemical machinery point inspection and maintenance record table, the management module numbers the point inspection items, marks the point inspection items as Di, and quantificationally takes values according to the point inspection result of an operator, and marks the point inspection items as ZDi, D is 1, … and n;
s32: the early warning value Yi of the petrochemical machinery is calculated by a formula
Wherein, AD is the weight corresponding to the spot inspection item, and a1+ a2+ … + AD is 1;
s33: if the early warning value Yi is larger than the early warning threshold value, the management module immediately sends a maintenance instruction to the management module, marks the petrochemical machinery as dangerous petrochemical machinery, immediately stops the use of operators, and sends the point inspection result of the operators and the early warning value Yi of the petrochemical machinery to a server for storage; and if the early warning value Yi is smaller than the early warning threshold value, maintaining the machine according to a normal maintenance period.
Further, the execution module is used for adjusting ambient air pressure, ambient temperature and ambient humidity, and specifically comprises an air pressure regulator, an air conditioner, a humidifier and a power module, wherein the power module is used for directly supplying power to the air pressure regulator, the air conditioner and the humidifier.
Further, the upper and lower limit values of the preset environmental air pressure, environmental temperature and environmental humidity for the petrochemical machinery to work are compiled according to the factory specifications of the petrochemical machinery.
Further, the management module is used for allocating maintenance personnel when the management module monitors that the early warning value Yi is larger than the early warning threshold value, and the specific steps are as follows:
t1: the management module sends a maintenance instruction to the maintenance module, and the maintenance module acquires the work type and position of the current on-duty maintenance personnel;
t2: carrying out reasonable maintenance personnel allocation according to the point inspection result of the operation personnel and the early warning value Yi of the petrochemical machinery, and sending the position of the petrochemical machinery to a mobile phone terminal for assigning maintenance personnel;
t21: acquiring the name, work type and position of a current idle maintainer, and acquiring the position of a current fault petrochemical machine;
t22: calculating the positions of all idle maintenance personnel and the fault petrochemical machinery, and recording the positions as L;
t23: acquiring the successful maintenance quantity and the total maintenance quantity of all idle maintenance personnel, which are respectively marked as C, A;
t24: the matching degree P is calculated by a formula,
is calculated by the formula
A and b are preset fixed values of proportional coefficients;
t25: selecting two maintainers with the largest matching degree P to dangerous petrochemical machinery positions for equipment maintenance;
t3: after the maintenance personnel reach the dangerous petrochemical machinery position, maintenance or part replacement of the dangerous petrochemical machinery is carried out, after maintenance is finished, the machinery is restarted, operation is normal, and after operation personnel are handed over, the operation personnel send a maintenance finishing instruction to the maintenance module through the mobile terminal;
t4: after receiving the maintenance finishing instruction, the maintenance module sends a maintenance record table to a mobile terminal of a maintainer;
t5: and after the maintenance staff fills the maintenance record table, the equipment is sent to the management module normally, the management module releases the dangerous petrochemical machinery, the operation staff is allowed to continue to use, and the maintenance quantity value of the maintenance staff is increased by one.
Furthermore, the login module is used for inputting identity information by an operator and a maintainer to log in, wherein the input identity information comprises the name, the position, the work type and a common mobile phone number of the operator or the maintainer.
Further, the display module is specifically a display screen and is used for displaying the excess ambient air pressure, ambient temperature or ambient humidity.
Further, the prediction module is used for predicting the equipment failure, and the specific prediction mode is as follows:
the method comprises the following steps: the method comprises the steps of obtaining a check result of an operator, obtaining a specific condition of a specific check item, numbering the check item, marking the check item as Di, and carrying out quantitative value taking according to the check result of the operator, wherein the number is marked as ZDi, and D is 1, … and n;
step two: taking the point detection time as a horizontal coordinate, taking the quantized value of the point detection result as a vertical coordinate, and establishing a rectangular coordinate system;
step three: marking the point inspection result ZDi of each time in a coordinate system and connecting the point inspection result ZDi into a point inspection result curve;
step four: predicting the next point inspection result according to the point inspection result curve;
step five: and predicting the time when the spot inspection item possibly fails, and performing early shutdown maintenance aiming at the time when the spot inspection item possibly fails.
Compared with the prior art, the invention has the beneficial effects that:
1. the acquisition module acquires the environmental information of the petrochemical machinery, sends the environmental information of the petrochemical machinery to the analysis module, and marks the environmental information of the petrochemical machinery as follows: pt, Tt and St, wherein t represents acquisition time, and an environmental influence value Ht of the petrochemical machinery is calculated by using a formula; if the environmental impact value Ht of the petrochemical machinery is greater than the preset environmental impact threshold value, the analysis module sends an adjusting instruction to the execution module, compares the current environmental pressure, the environmental temperature and the environmental humidity with the preset environmental pressure, the preset environmental temperature and the upper and lower limit values of the environmental humidity of the petrochemical machinery, compares the current environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity exceeding the preset environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity of the petrochemical machinery, and sends the exceeding numerical values to the display module; after the execution module receives the regulation instruction, adjust current environmental pressure, ambient temperature, ambient humidity, until recovering to petrochemical industry mechanical work predetermine environmental pressure, ambient temperature, ambient humidity upper and lower limit value in, carry out analysis and management to petrochemical industry mechanical environment, avoid environmental impact petrochemical industry mechanical work, and set up execution module, directly adjust convenient and fast to the environmental factor that surpasss.
2. The management module is used for managing the daily working state and the spot inspection state of the petrochemical machinery, acquiring the position information of the petrochemical machinery, numbering the positions of the petrochemical machinery, and performing spot inspection on petrochemical machinery equipment by staff before going on duty every day according to a spot inspection and maintenance record table of the petrochemical machinery and sending the spot inspection result to the management module; after receiving the spot inspection and maintenance record table of the petrochemical machinery, the management module numbers the spot inspection items, calculates an early warning value Yi of the petrochemical machinery by using a formula, immediately sends a maintenance instruction to the management module if the early warning value Yi is larger than an early warning threshold value, marks the petrochemical machinery as dangerous petrochemical machinery, immediately stops using by an operator, and sends a spot inspection result of the operator and the early warning value Yi of the petrochemical machinery to a server for storage; if the early warning value Yi is smaller than the early warning threshold value, the machine is maintained according to a normal maintenance period, daily spot inspection can effectively find the problems of the petrochemical machine, and the early warning value of the petrochemical machine is calculated in time so that managers can directly maintain and manage the petrochemical machine.
3. The management module is used for sending a maintenance instruction to the management module, and the management module acquires the work type and position of the current on-duty maintenance personnel; carrying out reasonable maintenance personnel allocation according to the point inspection result of the operation personnel and the early warning value Yi of the petrochemical machinery, and sending the position of the petrochemical machinery to a mobile phone terminal for assigning maintenance personnel; acquiring the name, work type and position of a current idle maintainer, and acquiring the position of a current fault petrochemical machine; calculating the positions of all idle maintenance personnel and the fault petrochemical machinery, and recording the positions as L; acquiring the successful maintenance quantity and the total maintenance quantity of all idle maintenance personnel, which are respectively marked as C, A; is calculated by a formulaThe matching degree P is calculated by the formula
A and b are preset fixed values of proportional coefficients; selecting two maintainers with the largest matching degree P to dangerous petrochemical machinery positions for equipment maintenance; after the maintenance personnel reach the dangerous petrochemical machinery position, maintenance or part replacement of the dangerous petrochemical machinery is carried out, after maintenance is finished, the machinery is restarted, operation is normal, and after operation personnel are handed over, the operation personnel send a maintenance finishing instruction to the maintenance module through the mobile terminal; after receiving the maintenance finishing instruction, the maintenance module sends a maintenance record table to a mobile terminal of a maintainer; and after the maintenance staff fills the maintenance record table, the equipment is sent to the management module normally, the management module releases the dangerous petrochemical machinery, the operation staff is allowed to continue to use, and the maintenance quantity value of the maintenance staff is increased by one.
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 petrochemical machinery fault monitoring system based on big data includes an acquisition module, an analysis module, a management module, a server, an execution module, a prediction module, and a display module;
the acquisition module is used for obtaining petrochemical industry mechanical environment information to send petrochemical industry mechanical environment information to the analysis module, the analysis module is used for carrying out analysis to petrochemical industry mechanical environment information, and concrete analysis step is as follows:
the method comprises the following steps: acquiring the environmental air pressure, the environmental temperature and the environmental humidity of the petrochemical machinery, and sending the environmental air pressure, the environmental temperature and the environmental humidity to an analysis module;
step two: the analysis module receives the environmental pressure, the environmental temperature and the environmental humidity, and respectively marks the environmental pressure, the environmental temperature and the environmental humidity as: pt, Tt, St, where t represents the acquisition time;
step three: calculating an environmental impact value Ht of the petrochemical machinery by using a formula; is calculated by the formula
Wherein Pmax, Pmin, Tmax, Tmin, Smax and Smin respectively correspond to the upper and lower limit values of the preset environmental air pressure, environmental temperature and environmental humidity of petrochemical machinery, alpha, beta and gamma are fixed values of preset proportions, e is a natural constant which is an infinite non-circulating decimal, and the value is taken as e-2.718281828459;
step four:
A. if the environmental impact value Ht of the petrochemical machinery is greater than the preset environmental impact threshold value, the analysis module sends an adjusting instruction to the execution module, compares the current environmental pressure, the environmental temperature and the environmental humidity with the preset environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity of the petrochemical machinery, compares the current environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity exceeding the preset environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity exceeding the working of the petrochemical machinery, sends the exceeding numerical values to the display module, and sends the current environmental pressure, the environmental temperature, the environmental humidity and the environmental impact value Ht to the server for storage;
B. if the environmental impact value Ht of the petrochemical machinery is smaller than a preset environmental impact threshold value, the analysis module directly sends the current environmental air pressure, the environmental temperature, the environmental humidity and the environmental impact value Ht to a server for storage;
step five: after receiving the adjusting instruction, the execution module adjusts the current ambient air pressure, ambient temperature and ambient humidity until the current ambient air pressure, ambient temperature and ambient humidity are restored to be within the upper and lower limit values of the preset ambient air pressure, ambient temperature and ambient humidity of the petrochemical machinery;
the management module is used for managing the daily working state and the spot inspection state of the petrochemical machinery, and comprises the following specific management steps:
s1: acquiring position information of the petrochemical machinery, numbering the positions of the petrochemical machinery, and marking as i, wherein i is 1, … and n;
s2: a manager writes a petrochemical machinery point inspection and maintenance record table by reading a maintenance specification of the petrochemical machinery, wherein the maintenance record table comprises point inspection items and a maintenance period;
s3: before the operators go on duty every day, the operators perform spot inspection on petrochemical mechanical equipment according to the spot inspection of the petrochemical machinery and the maintenance record table, and send spot inspection results to the management module;
s31: after receiving the petrochemical machinery point inspection and maintenance record table, the management module numbers the point inspection items, marks the point inspection items as Di, and quantificationally takes values according to the point inspection result of an operator, and marks the point inspection items as ZDi, D is 1, … and n;
s32: the early warning value Yi of the petrochemical machinery is calculated by a formula
Wherein, AD is the weight corresponding to the spot inspection item, and a1+ a2+ … + AD is 1;
s33: if the early warning value Yi is larger than the early warning threshold value, the management module immediately sends a maintenance instruction to the management module, marks the petrochemical machinery as dangerous petrochemical machinery, immediately stops the use of operators, and sends the point inspection result of the operators and the early warning value Yi of the petrochemical machinery to a server for storage; and if the early warning value Yi is smaller than the early warning threshold value, maintaining the machine according to a normal maintenance period.
The execution module is used for adjusting ambient air pressure, ambient temperature and ambient humidity, and specifically comprises an air pressure regulator, an air conditioner, a humidifier and a power supply module, and the power supply module is used for directly supplying power to the air pressure regulator, the air conditioner and the humidifier.
The preset upper and lower limit values of the environmental pressure, the environmental temperature and the environmental humidity for the petrochemical machinery to work are compiled according to the factory specifications of the petrochemical machinery.
The management module is used for allocating maintenance personnel when the management module monitors that the early warning value Yi is larger than the early warning threshold value, and the management module comprises the following specific steps:
t1: the management module sends a maintenance instruction to the maintenance module, and the maintenance module acquires the work type and position of the current on-duty maintenance personnel;
t2: carrying out reasonable maintenance personnel allocation according to the point inspection result of the operation personnel and the early warning value Yi of the petrochemical machinery, and sending the position of the petrochemical machinery to a mobile phone terminal for assigning maintenance personnel;
t21: acquiring the name, work type and position of a current idle maintainer, and acquiring the position of a current fault petrochemical machine;
t22: calculating the positions of all idle maintenance personnel and the fault petrochemical machinery, and recording the positions as L;
t23: acquiring the successful maintenance quantity and the total maintenance quantity of all idle maintenance personnel, which are respectively marked as C, A;
t24: the matching degree P is calculated by a formula,
is calculated by the formula
A and b are preset fixed values of proportional coefficients;
t25: selecting two maintainers with the largest matching degree P to dangerous petrochemical machinery positions for equipment maintenance;
t3: after the maintenance personnel reach the dangerous petrochemical machinery position, maintenance or part replacement of the dangerous petrochemical machinery is carried out, after maintenance is finished, the machinery is restarted, operation is normal, and after operation personnel are handed over, the operation personnel send a maintenance finishing instruction to the maintenance module through the mobile terminal;
t4: after receiving the maintenance finishing instruction, the maintenance module sends a maintenance record table to a mobile terminal of a maintainer;
t5: and after the maintenance staff fills the maintenance record table, the equipment is sent to the management module normally, the management module releases the dangerous petrochemical machinery, the operation staff is allowed to continue to use, and the maintenance quantity value of the maintenance staff is increased by one.
The login module is used for inputting identity information by an operator and a maintainer to log in, wherein the input identity information comprises the name, the position, the work type and a common mobile phone number of the operator or the maintainer.
The display module is specifically a display screen and is used for displaying the exceeding ambient air pressure, ambient temperature or ambient humidity.
The prediction module is used for predicting equipment faults, and the specific prediction mode is as follows:
the method comprises the following steps: the method comprises the steps of obtaining a check result of an operator, obtaining a specific condition of a specific check item, numbering the check item, marking the check item as Di, and carrying out quantitative value taking according to the check result of the operator, wherein the number is marked as ZDi, and D is 1, … and n;
step two: taking the point detection time as a horizontal coordinate, taking the quantized value of the point detection result as a vertical coordinate, and establishing a rectangular coordinate system;
step three: marking the point inspection result ZDi of each time in a coordinate system and connecting the point inspection result ZDi into a point inspection result curve;
step four: predicting the next point inspection result according to the point inspection result curve;
step five: and predicting the time when the spot inspection item possibly fails, and performing early shutdown maintenance aiming at the time when the spot inspection item possibly fails.
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 working principle of the invention is as follows: the acquisition module acquires the environmental information of the petrochemical machinery, sends the environmental information of the petrochemical machinery to the analysis module, and marks the environmental information of the petrochemical machinery as follows: pt, Tt and St, wherein t represents acquisition time, and an environmental influence value Ht of the petrochemical machinery is calculated by using a formula; if the environmental impact value Ht of the petrochemical machinery is greater than the preset environmental impact threshold value, the analysis module sends an adjusting instruction to the execution module, compares the current environmental pressure, the environmental temperature and the environmental humidity with the preset environmental pressure, the preset environmental temperature and the upper and lower limit values of the environmental humidity of the petrochemical machinery, compares the current environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity exceeding the preset environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity of the petrochemical machinery, and sends the exceeding numerical values to the display module; after the execution module receives the regulation instruction, adjust current environmental pressure, ambient temperature, ambient humidity, until recovering to petrochemical industry mechanical work predetermine environmental pressure, ambient temperature, ambient humidity upper and lower limit value in, carry out analysis and management to petrochemical industry mechanical environment, avoid environmental impact petrochemical industry mechanical work, and set up execution module, directly adjust convenient and fast to the environmental factor that surpasss.
The management module is used for managing the daily working state and the spot inspection state of the petrochemical machinery, acquiring the position information of the petrochemical machinery, numbering the positions of the petrochemical machinery, and performing spot inspection on petrochemical machinery equipment by staff before going on duty every day according to a spot inspection and maintenance record table of the petrochemical machinery and sending the spot inspection result to the management module; after receiving the spot inspection and maintenance record table of the petrochemical machinery, the management module numbers the spot inspection items, calculates an early warning value Yi of the petrochemical machinery by using a formula, immediately sends a maintenance instruction to the management module if the early warning value Yi is larger than an early warning threshold value, marks the petrochemical machinery as dangerous petrochemical machinery, immediately stops using by an operator, and sends a spot inspection result of the operator and the early warning value Yi of the petrochemical machinery to a server for storage; if the early warning value Yi is smaller than the early warning threshold value, the machine is maintained according to a normal maintenance period, daily spot inspection can effectively find the problems of the petrochemical machine, and the early warning value of the petrochemical machine is calculated in time so that managers can directly maintain and manage the petrochemical machine.
The management module is used for sending a maintenance instruction to the management module, and the management module acquires the work type and position of the current on-duty maintenance personnel; closing according to the point inspection result of the operators and the early warning value Yi of the petrochemical machineryDispatching maintenance personnel and sending the position of the petrochemical machinery to a mobile phone terminal assigned with the maintenance personnel; acquiring the name, work type and position of a current idle maintainer, and acquiring the position of a current fault petrochemical machine; calculating the positions of all idle maintenance personnel and the fault petrochemical machinery, and recording the positions as L; acquiring the successful maintenance quantity and the total maintenance quantity of all idle maintenance personnel, which are respectively marked as C, A; the matching degree P is calculated by the formula
A and b are preset fixed values of proportional coefficients; selecting two maintainers with the largest matching degree P to dangerous petrochemical machinery positions for equipment maintenance; after the maintenance personnel reach the dangerous petrochemical machinery position, maintenance or part replacement of the dangerous petrochemical machinery is carried out, after maintenance is finished, the machinery is restarted, operation is normal, and after operation personnel are handed over, the operation personnel send a maintenance finishing instruction to the maintenance module through the mobile terminal; after receiving the maintenance finishing instruction, the maintenance module sends a maintenance record table to a mobile terminal of a maintainer; and after the maintenance staff fills the maintenance record table, the equipment is sent to the management module normally, the management module releases the dangerous petrochemical machinery, the operation staff is allowed to continue to use, and the maintenance quantity value of the maintenance staff is increased by one.
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 (7)
1. A petrochemical machinery fault monitoring system based on big data is characterized by comprising an acquisition module, an analysis module, a management module, a server, an execution module, a prediction module and a display module;
the acquisition module is used for acquiring the environmental information of the petrochemical machinery and sending the environmental information of the petrochemical machinery to the analysis module, the analysis module is used for analyzing the environmental information of the petrochemical machinery, and the specific analysis steps are as follows:
the method comprises the following steps: acquiring the environmental air pressure, the environmental temperature and the environmental humidity of the petrochemical machinery, and sending the environmental air pressure, the environmental temperature and the environmental humidity to an analysis module;
step two: the analysis module receives the environmental pressure, the environmental temperature and the environmental humidity, and respectively marks the environmental pressure, the environmental temperature and the environmental humidity as: pt, Tt, St, where t represents the acquisition time;
step three: calculating an environmental impact value Ht of the petrochemical machinery by using a formula; is calculated by the formula
Wherein Pmax, Pmin, Tmax, Tmin, Smax and Smin respectively correspond to the upper and lower limit values of the preset environmental air pressure, environmental temperature and environmental humidity of petrochemical machinery, alpha, beta and gamma are fixed values of preset proportions, e is a natural constant which is an infinite non-circulating decimal, and the value is taken as e-2.718281828459;
step four:
A. if the environmental impact value Ht of the petrochemical machinery is greater than the preset environmental impact threshold value, the analysis module sends an adjusting instruction to the execution module, compares the current environmental pressure, the environmental temperature and the environmental humidity with the preset environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity of the petrochemical machinery, compares the current environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity exceeding the preset environmental pressure, the environmental temperature and the upper and lower limit values of the environmental humidity exceeding the working of the petrochemical machinery, sends the exceeding numerical values to the display module, and sends the current environmental pressure, the environmental temperature, the environmental humidity and the environmental impact value Ht to the server for storage;
B. if the environmental impact value Ht of the petrochemical machinery is smaller than a preset environmental impact threshold value, the analysis module directly sends the current environmental air pressure, the environmental temperature, the environmental humidity and the environmental impact value Ht to a server for storage;
step five: after receiving the adjusting instruction, the execution module adjusts the current ambient air pressure, ambient temperature and ambient humidity until the current ambient air pressure, ambient temperature and ambient humidity are restored to be within the upper and lower limit values of the preset ambient air pressure, ambient temperature and ambient humidity of the petrochemical machinery;
the management module is used for managing the daily working state and the spot inspection state of the petrochemical machinery, and comprises the following specific management steps:
s1: acquiring position information of the petrochemical machinery, and numbering the positions of the petrochemical machinery, wherein i is marked as 1, …, n;
s2: a manager writes a petrochemical machinery point inspection and maintenance record table by reading a maintenance specification of the petrochemical machinery, wherein the maintenance record table comprises point inspection items and a maintenance period;
s3: before the operators go on duty every day, the operators perform spot inspection on petrochemical mechanical equipment according to the spot inspection of the petrochemical machinery and the maintenance record table, and send spot inspection results to the management module;
s31: after receiving the petrochemical machinery point inspection and maintenance record table, the management module numbers the point inspection items, marks the point inspection items as Di, and carries out quantitative value taking according to the point inspection result of an operator, and marks the point inspection items as ZDi, D is 1, …, n;
s32: the early warning value Yi of the petrochemical machinery is calculated by a formula
Wherein, AD is the weight corresponding to the spot inspection item, and a1+ a2+ … + AD is 1;
s33: if the early warning value Yi is larger than the early warning threshold value, the management module immediately sends a maintenance instruction to the management module, marks the petrochemical machinery as dangerous petrochemical machinery, immediately stops the use of operators, and sends the point inspection result of the operators and the early warning value Yi of the petrochemical machinery to a server for storage; and if the early warning value Yi is smaller than the early warning threshold value, maintaining the machine according to a normal maintenance period.
2. The big data-based petrochemical machinery fault monitoring system according to claim 1, wherein the execution module is used for adjusting ambient air pressure, ambient temperature and ambient humidity, and specifically comprises an air pressure regulator, an air conditioner, a humidifier and a power module, and the power module is used for directly supplying power to the air pressure regulator, the air conditioner and the humidifier.
3. The big data based petrochemical machinery fault monitoring system according to claim 1, wherein the preset upper and lower limit values of ambient air pressure, ambient temperature and ambient humidity for the petrochemical machinery operation are compiled according to the factory specifications of the petrochemical machinery.
4. The big-data-based petrochemical machinery fault monitoring system according to claim 1, wherein the management module is configured to perform maintenance personnel deployment when the management module monitors that the early warning value Yi is greater than an early warning threshold value, and the specific steps are as follows:
t1: the management module sends a maintenance instruction to the maintenance module, and the maintenance module acquires the work type and position of the current on-duty maintenance personnel;
t2: carrying out reasonable maintenance personnel allocation according to the point inspection result of the operation personnel and the early warning value Yi of the petrochemical machinery, and sending the position of the petrochemical machinery to a mobile phone terminal for assigning maintenance personnel;
t3: after the maintenance personnel reach the dangerous petrochemical machinery position, maintenance or part replacement of the dangerous petrochemical machinery is carried out, after maintenance is finished, the machinery is restarted, operation is normal, and after operation personnel are handed over, the operation personnel send a maintenance finishing instruction to the maintenance module through the mobile terminal;
t4: after receiving the maintenance finishing instruction, the maintenance module sends a maintenance record table to a mobile terminal of a maintainer;
t5: and after the maintenance staff fills the maintenance record table, the equipment is sent to the management module normally, the management module releases the dangerous petrochemical machinery, the operation staff is allowed to continue to use, and the maintenance quantity value of the maintenance staff is increased by one.
5. The big data based petrochemical machinery fault monitoring system according to claim 1, further comprising a login module, wherein the login module is used for an operator and a maintainer to input identity information for login, and the input identity information comprises the name, the position, the work type and a common mobile phone number of the operator or the maintainer.
6. The big-data based petrochemical machinery fault monitoring system according to claim 1, wherein: the display module is specifically a display screen and is used for displaying the exceeding ambient air pressure, ambient temperature or ambient humidity.
7. The big-data based petrochemical machinery fault monitoring system according to claim 1, wherein: the system also comprises a prediction module, wherein the prediction module is used for predicting the equipment failure, obtaining the point inspection result of an operator, obtaining the specific condition of a specific point inspection project, performing trend analysis on the key point inspection project which possibly influences the equipment failure, looking at the trend of a trend analysis curve, predicting the time when the key point inspection project possibly fails, and performing advanced shutdown maintenance on the time when the key point inspection project possibly fails.
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