CN118569832A - System for intelligent campus laboratory - Google Patents
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Abstract
The invention discloses a system for a smart campus laboratory, which relates to the technical field of smart campus laboratories and comprises a sensor module, a data acquisition module, a data processing and storage module, a monitoring and alarming module, a maintenance planning module and a man-machine interaction module, wherein the system comprises the following components: the data monitored by the sensor module can be calculated and analyzed to obtain the working environment parameters and the running state parameters through the data acquisition module, the fault prediction coefficient of the electrical experimental equipment is obtained through the working environment parameters, the running state parameters and various data in the data storage unit, and the current state of the electrical experimental equipment can be further predicted through the analysis of the fault prediction coefficient, so that the electrical experimental equipment can be interfered in advance, the electrical experimental equipment is prevented from being damaged, the waste of large maintenance cost is avoided, and the experiment progress is effectively prevented from being influenced because the electrical experimental equipment cannot be normally used.
Description
Technical Field
The invention relates to the technical field of intelligent campus laboratories, in particular to a system for a smart campus laboratory.
Background
With the rapid development of technologies such as the Internet of things, big data and artificial intelligence, an intelligent campus innovation laboratory management system is continuously perfected and improved, based on the technology of the Internet of things, laboratory equipment can realize real-time data acquisition and monitoring through sensors, information such as equipment states and operation parameters is transmitted to a central control system, intelligent monitoring of the equipment states is realized, meanwhile, by utilizing the big data analysis technology, the system can carry out deep analysis and mining on historical data, equipment operation rules and fault early warning signals are found out, the accuracy and reliability of equipment fault prediction are improved, the intelligent campus innovation laboratory management system realizes intelligent monitoring, fault prediction and maintenance optimization of the equipment states, and brand-new development opportunities and challenges are brought to laboratory equipment management;
The prior art lacks intelligent and scientific management means, cannot meet the requirements of laboratory equipment management, relies on manual work, is low in efficiency and prone to occurrence of missed detection, lacks intelligent monitoring and management means, cannot realize real-time monitoring and prediction of equipment states, is not scientific and accurate enough in maintenance planning, cannot prolong equipment life to the greatest extent and improve reliability, and for this reason, we provide a system for intelligent campus-based laboratory.
Disclosure of Invention
The invention aims to provide a system for a smart campus-based laboratory.
In order to solve the problems set forth in the background art, the invention provides the following technical scheme: a laboratory system based on an intelligent campus comprises a sensor module, a data acquisition module, a data processing and storage module, a monitoring and alarming module, a maintenance planning module and a man-machine interaction module;
The sensor module is in communication connection with the data acquisition module, the data acquisition module is in communication connection with the data processing and storage module, the data processing and storage module is in communication connection with the monitoring and alarming module, the monitoring and alarming module is in communication connection with the maintenance planning module, the maintenance planning module is in communication connection with the man-machine interaction module, the man-machine interaction module is in communication connection with the data processing and storage module, and the maintenance planning module is in communication connection with the data processing and storage module;
the sensor module is used for monitoring the running state and the environmental parameters of the electrical experimental equipment in real time and transmitting monitoring data to the data acquisition module;
the data acquisition module is in charge of collecting the data acquired by the sensor module, carrying out normalization processing on the equipment, and transmitting the normalized data to the data processing and storage module;
The data processing and storing module comprises a data processing unit and a data storing unit, wherein the data storing unit is used for storing various data of the electrical experimental equipment, the data processing unit can receive the data transmitted by the data acquisition module, integrates and analyzes the data transmitted by the data acquisition module and the data stored by the data storing unit, and transmits the fault prediction coefficient to the monitoring and alarming module and the maintenance planning module by using a calculation formula equipment fault prediction coefficient;
the monitoring and alarming module can receive the data transmitted by the data processing and storing module, analyze and calculate the data and send out alarming information when the data is abnormal;
the maintenance planning module can receive the data transmitted by the data processing and storage module, and makes a maintenance plan of the equipment according to the received data, wherein the maintenance plan comprises predictive maintenance and periodical maintenance;
And the man-machine interaction interface module can provide a user interface, so that a worker can check equipment states and alarm information in real time, and can adjust equipment parameters.
As a further aspect of the invention: the sensor module can monitor working environment parameters and equipment running state parameters of equipment, the sensors required by the working environment parameters are an environment temperature sensor, a humidity sensor and a pressure sensor, and the sensors required by the running state parameters are an equipment temperature sensor, a current sensor, a voltage sensor and a vibration sensor.
As a further aspect of the invention: the data acquisition module can receive detection data of each sensor in the working environment parameters and the equipment running state parameters, and calculate the working environment parameters and the running state parameters by using the formula, wherein the calculation formulas of the working environment parameters and the running state parameters are as follows:
K Ring(s) ＝β0+β1·X1+β2·X2+β3·X3
Wherein: k Ring(s) and K Is provided with respectively represent working environment parameters and running state parameters, X 1、X2 and X 3 respectively represent values currently detected by an environment temperature sensor, a humidity sensor and a pressure sensor, beta 0 represents an intercept, beta 1、β2 and beta 3 are regression coefficients, S 1、S2、S3 and S 4 respectively represent values currently detected by a device temperature sensor, a current sensor, a voltage sensor and a vibration sensor, AndAverage values of the last week detection data of the device temperature sensor, the current sensor, the voltage sensor and the vibration sensor are respectively represented, and k 1、k2、k3 and k 4 represent detection accuracy of the device temperature sensor, the current sensor, the voltage sensor and the vibration sensor respectively.
As a further aspect of the invention: the data storage unit is used for storing information of the average service life, the production date, the quality guarantee period, the net working time length, the number of faults, the number of maintenance and the maintenance frequency of the equipment of the electric experimental equipment, and is in real-time communication connection with the data processing unit.
As a further aspect of the invention: the data processing unit can receive the data transmitted by the data storage unit and the data acquisition module, and calculate the equipment fault prediction coefficient through a formula, wherein the calculation formula of the fault prediction coefficient is as follows:
Wherein: α represents a failure prediction coefficient, R m represents a current lifetime coefficient of the device (from date of production/average lifetime of the device), P represents a duration (h) of date of production from a shelf life, NWH t represents a net operation duration (sum of time in operation period, h), NFT k represents the number of failures that have occurred, NMT K represents the number of times that maintenance has occurred, MFR f represents the maintenance frequency, and T represents a duration (h) from the last maintenance.
As a further aspect of the invention: the monitoring and alarming module comprises a warning lamp and a warning loudspeaker, and can receive the fault prediction coefficient alpha transmitted by the data processing unit and compare and analyze the fault prediction coefficient alpha, so that the detection of laboratory electrical experimental equipment is completed, and a specific comparison and analysis formula is as follows:
When alpha is E (0, 1.5), the maintenance time of the electrical experimental equipment is short, the equipment can work normally completely, and the risk of fault shutdown is avoided;
when alpha is 1.5 and 2.5), the maintenance of the electric test equipment is carried out for a period of time, and the probability of failure and shutdown of the equipment is small;
when alpha is epsilon [2.5,3.5), indicating that the operation of the electrical test equipment is abnormal to some extent, and that the equipment has a certain risk of fault shutdown, wherein the equipment is ready to be maintained at the moment;
When alpha is [3.5, + ] is E, the electric test equipment is close to the edge of the fault shutdown, the equipment is likely to shutdown at any time, and the equipment needs to be shutdown and maintained immediately;
when alpha is epsilon [2.5,3.5), the warning lamp can flash intermittently, the warning loudspeaker can emit low frequency and low sound alarm;
when alpha is 3.5, ++ infinity), the warning lamp continuously flashes, and the warning loudspeaker can high-frequency and power loud alarm.
As a further aspect of the invention: the maintenance planning module can receive the data transmitted by the monitoring and alarming module, and makes a maintenance plan according to the size of the fault prediction coefficient alpha, and the specific maintenance plan corresponding to the fault prediction coefficient alpha is as follows:
For the range E (0, 1.5), carrying out routine maintenance on equipment once a month, in the maintenance process, checking whether various indexes of the equipment are normal, cleaning the surface of the equipment, checking whether wiring of the equipment is loose so as to ensure the normal operation of the equipment, and in addition, lubricating and adjusting the equipment so as to prolong the service life of the equipment, reduce the possibility of failure occurrence, improve the stability and reliability of the equipment and reduce the maintenance cost and the risk of production interruption;
For the range epsilon [1.5, 2.5), checking the equipment once every week, and in the checking process, paying attention to abnormal conditions of temperature, noise and vibration of the equipment, finding potential problems in time, in addition, replacing vulnerable parts regularly, keeping the normal operation of the equipment, improving the stability and reliability of the equipment, and by enhancing the monitoring and checking frequency, finding problems in time, reducing the fault downtime and improving the production efficiency;
For the range epsilon [2.5,3.5), checking the equipment once every day, and in the checking process, carefully checking whether each part of the equipment normally operates, has abnormal noise and vibration, has potential safety hazards of electric leakage, and meanwhile, replacing the aging part regularly, so that the reliability and the safety of the equipment are improved, the problems can be found and solved in time by enhancing daily checking and maintenance, the normal operation of the equipment is ensured, and the production accidents are avoided;
For the scope epsilon [3.5, ++ infinity)), the device is immediately shut down for maintenance, the device is comprehensively overhauled and maintained, in the maintenance process, the fault parts are required to be replaced, the abnormal problem is repaired, the safe operation of the device is ensured, the production loss and the safety risk caused by the device fault shutdown can be avoided through emergency maintenance, and meanwhile, the device is recommended to be regularly maintained, so that the service life of the device is prolonged, and the reliability and the safety of the device are improved.
As a further aspect of the invention: the man-machine interaction interface module can display real-time states of all the electrical experimental equipment, including running states of the equipment, environment parameters and working time information, a user can intuitively know the running conditions of the equipment through an interface and find abnormal conditions in time, and the man-machine interaction interface module can provide a parameter adjustment function, the user can adjust the parameters of the equipment through the interface, including adjusting the working strength of the equipment and setting an alarm threshold, and meanwhile, the user can control the equipment through the interface, including starting and stopping the equipment operation.
As a further aspect of the invention: the man-machine interaction interface module is in real-time communication connection with the electrical experimental equipment and the data processing and storing module in the laboratory, and can edit information data in the data storage unit in the data processing and storing module in real time, so that various data of the electrical experimental equipment can be updated in real time, the accuracy of failure prediction coefficients is ensured, and the accuracy of a maintenance plan of the obtained electrical experimental equipment is ensured.
By adopting the technical scheme, compared with the prior art, the invention has the beneficial effects that:
1. According to the invention, the running state and the environment parameters of the electrical experimental equipment can be monitored in real time through the sensor module, the data monitored by the sensor module can be calculated and analyzed to obtain the working environment parameters and the running state parameters through the data acquisition module, and the fault prediction coefficient of the electrical experimental equipment is obtained through the working environment parameters, the running state parameters and the data in the data storage unit, so that the current state of the electrical experimental equipment can be predicted through the analysis of the fault prediction coefficient, the electrical experimental equipment can be interfered in advance, the waste of large maintenance cost after the damage of the electrical experimental equipment is prevented, and the influence on the experimental progress caused by the abnormal use of the electrical experimental equipment is effectively avoided;
2. According to the invention, through the accurate calculation of the fault prediction coefficient, a personalized maintenance plan can be formulated, the fine management and customized maintenance strategy of the equipment are realized, and through analyzing the equipment state according to the size of the fault prediction coefficient, the system can timely identify the health condition and potential fault risk of the equipment, so that the service life of the equipment is effectively prolonged, the maintenance cost and the risk of production interruption are reduced, the reliability and stability of the equipment are improved, the probability of fault occurrence is also reduced, the production efficiency and the operation safety of the equipment are further improved, and the intelligent maintenance planning mechanism provides powerful support for the management and maintenance of the laboratory electrical equipment;
3. According to the system, the working environment and the running state parameters of the electrical experimental equipment are monitored, the parameter values are calculated through the data acquisition module, the equipment information is stored by combining with the data storage unit, the fault prediction coefficient is calculated through the data processing unit, the monitoring and alarming module provides real-time alarming, the maintenance planning module makes a maintenance plan, and the human-computer interaction interface module provides real-time monitoring and parameter adjustment functions.
Drawings
Fig. 1 is a schematic diagram of a system flow in an embodiment of the invention.
Detailed Description
The following describes the embodiments of the present invention further with reference to the drawings. The description of these embodiments is provided to assist understanding of the present invention, but is not intended to limit the present invention. In addition, the technical features of the embodiments of the present invention described below may be combined with each other as long as they do not collide with each other.
Embodiment 1 referring to fig. 1, the present invention provides a technical solution: the intelligent campus based laboratory system comprises a sensor module, a data acquisition module, a data processing and storage module, a monitoring and alarming module, a maintenance planning module and a man-machine interaction module;
The sensor module is in communication connection with the data acquisition module, the data acquisition module is in communication connection with the data processing and storage module, the data processing and storage module is in communication connection with the monitoring and alarming module, the monitoring and alarming module is in communication connection with the maintenance planning module, the maintenance planning module is in communication connection with the man-machine interaction module, the man-machine interaction module is in communication connection with the data processing and storage module, and the maintenance planning module is in communication connection with the data processing and storage module;
the sensor module is used for monitoring the running state and the environmental parameters of the electrical experimental equipment in real time and transmitting monitoring data to the data acquisition module;
the data acquisition module is in charge of collecting the data acquired by the sensor module, carrying out normalization processing on the equipment, and transmitting the normalized data to the data processing and storage module;
The data processing and storing module comprises a data processing unit and a data storing unit, the data storing unit is used for storing various data of the electrical experimental equipment, the data processing unit can receive the data transmitted by the data acquisition module, and carry out integrated analysis on the data transmitted by the data acquisition module and the data stored by the data storing unit, and the failure prediction coefficient is transmitted to the monitoring and alarming module and the maintenance planning module by using a calculation formula equipment;
the monitoring and alarming module can receive the data transmitted by the data processing and storing module, analyze and calculate the data and send out alarming information when the data is abnormal;
the maintenance planning module can receive the data transmitted by the data processing and storage module, and makes a maintenance plan of the equipment according to the received data, wherein the maintenance plan comprises predictive maintenance and periodical maintenance;
And the man-machine interaction interface module can provide a user interface, so that a worker can check equipment states and alarm information in real time, and can adjust equipment parameters.
Referring to fig. 1, a sensor module is capable of monitoring a working environment parameter and an operating state parameter of a device, wherein the sensors required by the working environment parameter are an environment temperature sensor, a humidity sensor and a pressure sensor, the sensors required by the operating state parameter are a device temperature sensor, a current sensor, a voltage sensor and a vibration sensor, and a data acquisition module is capable of receiving detection data of each sensor in the working environment parameter and the operating state parameter of the device and calculating the working environment parameter and the operating state parameter by using a formula, wherein the calculation formulas of the working environment parameter and the operating state parameter are as follows:
K Ring(s) ＝β0+β1·X1+β2·X2+β3·X3
Wherein: k Ring(s) and K Is provided with respectively represent working environment parameters and running state parameters, X 1、X2 and X 3 respectively represent values currently detected by an environment temperature sensor, a humidity sensor and a pressure sensor, beta 0 represents an intercept, beta 1、β2 and beta 3 are regression coefficients, S 1、S2、S3 and S 4 respectively represent values currently detected by a device temperature sensor, a current sensor, a voltage sensor and a vibration sensor, AndAverage values of last week detection data of the equipment temperature sensor, the current sensor, the voltage sensor and the vibration sensor are respectively represented, and k 1、k2、k3 and k 4 respectively represent detection accuracy of the equipment temperature sensor, the current sensor, the voltage sensor and the vibration sensor;
In this embodiment, by collecting a large amount of data and performing regression analysis, an optimal regression coefficient can be obtained, so as to establish a complex environmental parameter calculation formula, such a model can more comprehensively consider complex relationships between different sensor data, so as to improve the accuracy and reliability of environmental parameters, the regression coefficient can be obtained by calculating through a least squares method (Ordinary Least Squares, OLS), the least squares method is a commonly used parameter estimation method, the parameter value of the model is determined by minimizing the sum of squares of residuals between observed values and model predicted values, specifically, for given environmental parameter data and sensor data, a least squares method can be used to fit a multiple linear regression model, and an optimal regression coefficient can be calculated, and this process can be realized through a regression analysis function in statistical software or programming language, for example, using statsmodels libraries in Python or lm () functions in R language for fitting and parameter estimation.
When the system is used, the running state and the environment parameters of the electrical experimental equipment can be monitored in real time through the sensor module, the working environment parameters and the running state parameters can be calculated and analyzed through the data acquisition module, the fault prediction coefficient of the electrical experimental equipment can be obtained through the working environment parameters, the running state parameters and various data in the data storage unit, the current state of the electrical experimental equipment can be further predicted through the analysis of the fault prediction coefficient, the electrical experimental equipment can be intervened in advance, the waste of large maintenance cost after the electrical experimental equipment is damaged is prevented, and the influence on the experimental progress caused by the abnormal use of the electrical experimental equipment is effectively avoided.
In a second embodiment, please refer to fig. 1, the present invention provides a technical solution: the intelligent campus based laboratory system comprises a sensor module, a data acquisition module, a data processing and storage module, a monitoring and alarming module, a maintenance planning module and a man-machine interaction module;
The sensor module is in communication connection with the data acquisition module, the data acquisition module is in communication connection with the data processing and storage module, the data processing and storage module is in communication connection with the monitoring and alarming module, the monitoring and alarming module is in communication connection with the maintenance planning module, the maintenance planning module is in communication connection with the man-machine interaction module, the man-machine interaction module is in communication connection with the data processing and storage module, and the maintenance planning module is in communication connection with the data processing and storage module;
the sensor module is used for monitoring the running state and the environmental parameters of the electrical experimental equipment in real time and transmitting monitoring data to the data acquisition module;
the data acquisition module is in charge of collecting the data acquired by the sensor module, carrying out normalization processing on the equipment, and transmitting the normalized data to the data processing and storage module;
The data processing and storing module comprises a data processing unit and a data storing unit, the data storing unit is used for storing various data of the electrical experimental equipment, the data processing unit can receive the data transmitted by the data acquisition module, and carry out integrated analysis on the data transmitted by the data acquisition module and the data stored by the data storing unit, and the failure prediction coefficient is transmitted to the monitoring and alarming module and the maintenance planning module by using a calculation formula equipment;
the monitoring and alarming module can receive the data transmitted by the data processing and storing module, analyze and calculate the data and send out alarming information when the data is abnormal;
the maintenance planning module can receive the data transmitted by the data processing and storage module, and makes a maintenance plan of the equipment according to the received data, wherein the maintenance plan comprises predictive maintenance and periodical maintenance;
And the man-machine interaction interface module can provide a user interface, so that a worker can check equipment states and alarm information in real time, and can adjust equipment parameters.
Referring to fig. 1, a data storage unit stores information of an average service life, a production date, a quality guarantee period, a net working time length, a number of faults occurred, a number of times maintained and a maintenance frequency of an electrical experiment device, the data storage unit is in real-time communication connection with a data processing unit, the data processing unit can receive data transmitted by the data storage unit and a data acquisition module, and calculates a fault prediction coefficient of the device through a formula, wherein the calculation formula of the fault prediction coefficient is as follows:
Wherein: α represents a failure prediction coefficient, R m represents a current lifetime coefficient of the device (from date of production/average lifetime of the device), P represents a duration of production from shelf life (h), NWH t represents a net operation duration (sum of time in operation period, h), NFT k represents the number of failures that have occurred, NMT k represents the number of times that maintenance has occurred, MFR f represents the maintenance frequency, T represents a duration of time (h) from last maintenance;
In this embodiment, the system uses the sensor module to monitor the running state and environmental parameters of the electrical experimental equipment in real time, and transmits the monitoring data to the data processing and storing module through the data acquisition module, where the data processing and storing module not only includes a data storage unit for storing various data of the equipment, but also includes a data processing unit capable of receiving the data of the sensor module and the data storage unit and performing integrated analysis, and uses a calculation formula to calculate the failure prediction coefficient of the equipment, where the monitoring and alarming module is capable of receiving the data transmitted by the data processing and storing module, and sending out alarm information when the data is abnormal, so as to implement real-time monitoring of the equipment state and timely response to abnormal conditions, and meanwhile, the maintenance planning module is capable of making a maintenance plan of the equipment according to the received data, including predictive maintenance and periodic maintenance, thereby prolonging the service life of the equipment and improving the reliability of the equipment to the greatest extent.
When the intelligent maintenance planning system is used, a personalized maintenance plan can be formulated through accurate calculation of the fault prediction coefficient, fine management and customized maintenance strategies of equipment are realized, the system can timely identify the health condition and potential fault risks of the equipment through analyzing the equipment state according to the size of the fault prediction coefficient, so that the service life of the equipment is effectively prolonged, the maintenance cost and the risk of production interruption are reduced, the reliability and the stability of the equipment are improved, the probability of fault occurrence is also reduced, the production efficiency and the operation safety of the equipment are further improved, and the intelligent maintenance planning mechanism provides powerful support for the management and maintenance of the laboratory electrical equipment.
In a third embodiment, referring to fig. 1, the present invention provides a technical solution: the intelligent campus based laboratory system comprises a sensor module, a data acquisition module, a data processing and storage module, a monitoring and alarming module, a maintenance planning module and a man-machine interaction module;
The sensor module is in communication connection with the data acquisition module, the data acquisition module is in communication connection with the data processing and storage module, the data processing and storage module is in communication connection with the monitoring and alarming module, the monitoring and alarming module is in communication connection with the maintenance planning module, the maintenance planning module is in communication connection with the man-machine interaction module, the man-machine interaction module is in communication connection with the data processing and storage module, and the maintenance planning module is in communication connection with the data processing and storage module;
the sensor module is used for monitoring the running state and the environmental parameters of the electrical experimental equipment in real time and transmitting monitoring data to the data acquisition module;
the data acquisition module is in charge of collecting the data acquired by the sensor module, carrying out normalization processing on the equipment, and transmitting the normalized data to the data processing and storage module;
The data processing and storing module comprises a data processing unit and a data storing unit, the data storing unit is used for storing various data of the electrical experimental equipment, the data processing unit can receive the data transmitted by the data acquisition module, and carry out integrated analysis on the data transmitted by the data acquisition module and the data stored by the data storing unit, and the failure prediction coefficient is transmitted to the monitoring and alarming module and the maintenance planning module by using a calculation formula equipment;
the monitoring and alarming module can receive the data transmitted by the data processing and storing module, analyze and calculate the data and send out alarming information when the data is abnormal;
the maintenance planning module can receive the data transmitted by the data processing and storage module, and makes a maintenance plan of the equipment according to the received data, wherein the maintenance plan comprises predictive maintenance and periodical maintenance;
And the man-machine interaction interface module can provide a user interface, so that a worker can check equipment states and alarm information in real time, and can adjust equipment parameters.
Referring to fig. 1, the monitoring and alarm module includes a warning lamp and a warning horn, and the monitoring and alarm module can receive a failure prediction coefficient α transmitted by the data processing unit, and compare and analyze the failure prediction coefficient α, so as to complete detection of laboratory electrical experimental equipment, where a specific comparison and analysis formula is as follows:
When alpha is E (0, 1.5), the maintenance time of the electrical experimental equipment is short, the equipment can work normally completely, and the risk of fault shutdown is avoided;
when alpha is 1.5 and 2.5), the maintenance of the electric test equipment is carried out for a period of time, and the probability of failure and shutdown of the equipment is small;
when alpha is epsilon [2.5,3.5), indicating that the operation of the electrical test equipment is abnormal to some extent, and that the equipment has a certain risk of fault shutdown, wherein the equipment is ready to be maintained at the moment;
When alpha is [3.5, + ] is E, the electric test equipment is close to the edge of the fault shutdown, the equipment is likely to shutdown at any time, and the equipment needs to be shutdown and maintained immediately;
when alpha is epsilon [2.5,3.5), the warning lamp can flash intermittently, the warning loudspeaker can emit low frequency and low sound alarm;
when alpha is 3.5, ++ infinity), the warning lamp continuously flashes, and the warning loudspeaker can high-frequency and high-power sound alarm;
The maintenance planning module can receive the data transmitted by the monitoring and alarming module, and makes a maintenance plan according to the size of the fault prediction coefficient alpha, and the specific maintenance plan corresponding to the fault prediction coefficient alpha is as follows:
For the range E (0, 1.5), carrying out routine maintenance on equipment once a month, in the maintenance process, checking whether various indexes of the equipment are normal, cleaning the surface of the equipment, checking whether wiring of the equipment is loose so as to ensure the normal operation of the equipment, and in addition, lubricating and adjusting the equipment so as to prolong the service life of the equipment, reduce the possibility of failure occurrence, improve the stability and reliability of the equipment and reduce the maintenance cost and the risk of production interruption;
For the range epsilon [1.5, 2.5), checking the equipment once every week, and in the checking process, paying attention to abnormal conditions of temperature, noise and vibration of the equipment, finding potential problems in time, in addition, replacing vulnerable parts regularly, keeping the normal operation of the equipment, improving the stability and reliability of the equipment, and by enhancing the monitoring and checking frequency, finding problems in time, reducing the fault downtime and improving the production efficiency;
For the range epsilon [2.5,3.5), checking the equipment once every day, and in the checking process, carefully checking whether each part of the equipment normally operates, has abnormal noise and vibration, has potential safety hazards of electric leakage, and meanwhile, replacing the aging part regularly, so that the reliability and the safety of the equipment are improved, the problems can be found and solved in time by enhancing daily checking and maintenance, the normal operation of the equipment is ensured, and the production accidents are avoided;
For the range epsilon [3.5, + ], immediately stopping maintenance, carrying out comprehensive overhaul and maintenance on equipment, in the maintenance process, needing to replace fault components, repairing abnormal problems, ensuring the safe operation of the equipment, avoiding production loss and safety risk caused by equipment fault stoppage through emergency maintenance, simultaneously suggesting to carry out regular maintenance on the equipment so as to prolong the service life of the equipment, improving the reliability and safety of the equipment, enabling a man-machine interaction interface module to display the real-time state of each electrical experimental equipment, including the operation state, environmental parameters and working time information of the equipment, enabling a user to intuitively know the operation condition of the equipment through an interface, timely find abnormal conditions, enabling the man-machine interaction interface module to provide a parameter adjustment function, enabling the user to adjust the parameters of the equipment through the interface, including adjusting the working strength of the equipment and setting an alarm threshold, simultaneously enabling the user to control the equipment through the interface, including starting and stopping the equipment operation, enabling the man-machine interaction interface module to be in real-time communication with the electrical experimental equipment and a data processing and storage module in a laboratory, enabling the man-machine interaction interface module to edit the real-time data processing and the data storage module, enabling the data in the real-time interaction interface module to update the data in the electrical experimental equipment to ensure the accuracy of the data of the electrical equipment, and the accuracy of the prediction of the electrical experimental equipment to be guaranteed;
In the embodiment, the design of the system is perfect, a sensor module, a data acquisition module, a data processing and storage module, a monitoring and alarming module, a maintenance planning module and a man-machine interaction module are effectively integrated, the comprehensive monitoring, analysis and maintenance management of the electrical experimental equipment are realized, the intelligent design of the monitoring and alarming module is realized, the timely feedback of the equipment state is realized through an alarming lamp and an alarming horn, the differential alarming treatment is carried out according to the size of a failure prediction coefficient, the production risk caused by the equipment failure is effectively reduced, the maintenance planning module formulates a detailed maintenance plan according to the failure prediction coefficient, the periodic maintenance and the predictive maintenance are included, the stability and the reliability of the equipment are improved, and the real-time data display and the parameter adjustment function of the man-machine interaction interface module enable a user to conveniently monitor the equipment state and carry out the equipment parameter adjustment, so that the equipment is ensured to operate in the optimal state. The collaborative work of the whole system provides an efficient and intelligent equipment management solution for the intelligent campus laboratory, and promotes the improvement of the equipment management level and the operation efficiency of the laboratory.
When the system is used, the working environment and the running state parameters of the electrical experimental equipment are monitored, the parameter values are calculated through the data acquisition module, the equipment information is stored by combining with the data storage unit, the fault prediction coefficient is calculated through the data processing unit, the monitoring and alarming module provides real-time alarming, the maintenance planning module makes a maintenance plan, and the human-computer interaction interface module provides real-time monitoring and parameter adjustment functions.
Working principle:
the sensor module is installed in a laboratory through installing a device temperature sensor, a current sensor, a voltage sensor and a vibration sensor on electrical experimental equipment, the environment temperature sensor, the humidity sensor and the pressure sensor are installed in the laboratory, the data are transmitted to the data acquisition module, the data acquisition module calculates working environment parameters and running state parameters through the data, the working environment parameters and the running state parameters are transmitted to the data processing and storage module, each item of data of the electrical experimental equipment is stored in a data storage unit in the data processing and storage module, the data processing unit in the data processing and storage module can receive the data of the data storage unit and the data acquisition module in real time, a fault prediction coefficient is calculated according to the received data, the fault prediction coefficient is transmitted to the monitoring and alarm module, the monitoring and alarm module can receive the fault prediction coefficient, the current electrical equipment state is analyzed through combining the fault prediction coefficient, the maintenance planning module can receive the fault prediction coefficient, and a corresponding maintenance plan can be made according to the fault prediction coefficient.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented by general-purpose computer means, alternatively they may be implemented by program code executable by computing means, whereby they may be stored in storage means for execution by computing means, or they may be made into individual integrated circuit modules separately, or a plurality of modules or steps in them may be made into a single integrated circuit module. The present invention is not limited to any specific combination of hardware and software.
The above description is not intended to limit the invention to the particular embodiments disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it is intended to cover all modifications or variations within the scope of the invention as defined by the claims of the present invention.
Claims (9)
1. Based on wisdom campus laboratory uses system, its characterized in that: the intelligent campus innovation laboratory system comprises a sensor module, a data acquisition module, a data processing and storage module, a monitoring and alarming module, a maintenance planning module and a man-machine interaction module;
The sensor module is in communication connection with the data acquisition module, the data acquisition module is in communication connection with the data processing and storage module, the data processing and storage module is in communication connection with the monitoring and alarming module, the monitoring and alarming module is in communication connection with the maintenance planning module, the maintenance planning module is in communication connection with the man-machine interaction module, the man-machine interaction module is in communication connection with the data processing and storage module, and the maintenance planning module is in communication connection with the data processing and storage module;
the sensor module is used for monitoring the running state and the environmental parameters of the electrical experimental equipment in real time and transmitting monitoring data to the data acquisition module;
the data acquisition module is in charge of collecting the data acquired by the sensor module, carrying out normalization processing on the equipment, and transmitting the normalized data to the data processing and storage module;
The data processing and storing module comprises a data processing unit and a data storing unit, wherein the data storing unit is used for storing various data of the electrical experimental equipment, the data processing unit can receive the data transmitted by the data acquisition module, integrates and analyzes the data transmitted by the data acquisition module and the data stored by the data storing unit, and transmits the fault prediction coefficient to the monitoring and alarming module and the maintenance planning module by using a calculation formula equipment fault prediction coefficient;
the monitoring and alarming module can receive the data transmitted by the data processing and storing module, analyze and calculate the data and send out alarming information when the data is abnormal;
the maintenance planning module can receive the data transmitted by the data processing and storage module, and makes a maintenance plan of the equipment according to the received data, wherein the maintenance plan comprises predictive maintenance and periodical maintenance;
And the man-machine interaction interface module can provide a user interface, so that a worker can check equipment states and alarm information in real time, and can adjust equipment parameters.
2. A smart campus-based laboratory system as claimed in claim 1, wherein: the sensor module can monitor working environment parameters and equipment running state parameters of equipment, the sensors required by the working environment parameters are an environment temperature sensor, a humidity sensor and a pressure sensor, and the sensors required by the running state parameters are an equipment temperature sensor, a current sensor, a voltage sensor and a vibration sensor.
3. A smart campus-based laboratory system as claimed in claim 2, wherein: the data acquisition module can receive detection data of each sensor in the working environment parameters and the equipment running state parameters, and calculate the working environment parameters and the running state parameters by using the formula, wherein the calculation formulas of the working environment parameters and the running state parameters are as follows:
K Ring(s) ＝β0+β1·X1+β2·X2+β3·X3
Wherein: k Ring(s) and K Is provided with respectively represent working environment parameters and running state parameters, X 1、X2 and X 3 respectively represent values currently detected by an environment temperature sensor, a humidity sensor and a pressure sensor, beta 0 represents an intercept, beta 1、β2 and beta 3 are regression coefficients, S 1、S2、S3 and S 4 respectively represent values currently detected by a device temperature sensor, a current sensor, a voltage sensor and a vibration sensor, AndAverage values of the last week detection data of the device temperature sensor, the current sensor, the voltage sensor and the vibration sensor are respectively represented, and k 1、k2、k3 and k 4 represent detection accuracy of the device temperature sensor, the current sensor, the voltage sensor and the vibration sensor respectively.
4. A smart campus-based laboratory system as claimed in claim 1, wherein: the data storage unit is used for storing information of the average service life, the production date, the quality guarantee period, the net working time length, the number of faults, the number of maintenance and the maintenance frequency of the equipment of the electric experimental equipment, and is in real-time communication connection with the data processing unit.
5. A smart campus-based laboratory system as claimed in claim 3 or 4, wherein: the data processing unit can receive the data transmitted by the data storage unit and the data acquisition module, and calculate the equipment fault prediction coefficient through a formula, wherein the calculation formula of the fault prediction coefficient is as follows:
Wherein: α represents a failure prediction coefficient, R m represents a current lifetime coefficient of the device (from date of production/average lifetime of the device), P represents a duration (h) of date of production from a shelf life, NWH t represents a net operation duration (sum of time in operation period, h), NFT k represents the number of failures that have occurred, NMT K represents the number of times that maintenance has occurred, MFR f represents the maintenance frequency, and T represents a duration (h) from the last maintenance.
6. The smart campus-based laboratory system of claim 5, wherein: the monitoring and alarming module comprises a warning lamp and a warning loudspeaker, and can receive the fault prediction coefficient alpha transmitted by the data processing unit and compare and analyze the fault prediction coefficient alpha, so that the detection of laboratory electrical experimental equipment is completed, and a specific comparison and analysis formula is as follows:
When alpha is E (0, 1.5), the maintenance time of the electrical experimental equipment is short, the equipment can work normally completely, and the risk of fault shutdown is avoided;
when alpha is 1.5 and 2.5), the maintenance of the electric test equipment is carried out for a period of time, and the probability of failure and shutdown of the equipment is small;
when alpha is epsilon [2.5,3.5), indicating that the operation of the electrical test equipment is abnormal to some extent, and that the equipment has a certain risk of fault shutdown, wherein the equipment is ready to be maintained at the moment;
when alpha is [3.5, + ] is E, the electric test equipment is close to the edge of the fault shutdown, the equipment is likely to shutdown at any time, and the equipment needs to be shutdown and maintained immediately;
When alpha is epsilon [2.5,3.5), the warning lamp can flash intermittently, the warning loudspeaker can emit low frequency and low sound alarm;
when alpha is 3.5, ++ infinity), the warning lamp continuously flashes, and the warning loudspeaker can high-frequency and power loud alarm.
7. The smart campus-based laboratory system of claim 6, wherein: the maintenance planning module can receive the data transmitted by the monitoring and alarming module and the data processing and storing module, and makes a maintenance plan according to the size of the fault prediction coefficient alpha, and the specific maintenance plan corresponding to the fault prediction coefficient alpha is as follows:
For the range E (0, 1.5), carrying out routine maintenance on equipment once a month, in the maintenance process, checking whether various indexes of the equipment are normal, cleaning the surface of the equipment, checking whether wiring of the equipment is loose so as to ensure the normal operation of the equipment, and in addition, lubricating and adjusting the equipment so as to prolong the service life of the equipment, reduce the possibility of failure occurrence, improve the stability and reliability of the equipment and reduce the maintenance cost and the risk of production interruption;
for the range epsilon [1.5, 2.5), checking the equipment once every week, and in the checking process, paying attention to abnormal conditions of temperature, noise and vibration of the equipment, finding potential problems in time, in addition, replacing vulnerable parts regularly, keeping the normal operation of the equipment, improving the stability and reliability of the equipment, and by enhancing the monitoring and checking frequency, finding problems in time, reducing the fault downtime and improving the production efficiency;
For the range epsilon [2.5,3.5), checking the equipment once every day, and in the checking process, carefully checking whether each part of the equipment normally operates, has abnormal noise and vibration, has potential safety hazards of electric leakage, and meanwhile, replacing the aging part regularly, so that the reliability and the safety of the equipment are improved, the problems can be found and solved in time by enhancing daily checking and maintenance, the normal operation of the equipment is ensured, and the production accidents are avoided;
For the scope epsilon [3.5, ++ infinity)), the device is immediately shut down for maintenance, the device is comprehensively overhauled and maintained, in the maintenance process, the fault parts are required to be replaced, the abnormal problem is repaired, the safe operation of the device is ensured, the production loss and the safety risk caused by the device fault shutdown can be avoided through emergency maintenance, and meanwhile, the device is recommended to be regularly maintained, so that the service life of the device is prolonged, and the reliability and the safety of the device are improved.
8. A smart campus-based laboratory system as claimed in claim 1, wherein: the man-machine interaction interface module can display real-time states of all the electrical experimental equipment, including running states of the equipment, environment parameters and working time information, a user can intuitively know the running conditions of the equipment through an interface and find abnormal conditions in time, and the man-machine interaction interface module can provide a parameter adjustment function, the user can adjust the parameters of the equipment through the interface, including adjusting the working strength of the equipment and setting an alarm threshold, and meanwhile, the user can control the equipment through the interface, including starting and stopping the equipment operation.
9. The smart campus-based laboratory system of claim 8, wherein: the man-machine interaction interface module is in real-time communication connection with the electrical experimental equipment and the data processing and storing module in the laboratory, and can edit information data in the data storage unit in the data processing and storing module in real time, so that various data of the electrical experimental equipment can be updated in real time, the accuracy of failure prediction coefficients is ensured, and the accuracy of a maintenance plan of the obtained electrical experimental equipment is ensured.
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