CN111947712A - Tea mechanical safety monitoring system based on big data - Google Patents
Tea mechanical safety monitoring system based on big data Download PDFInfo
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- CN111947712A CN111947712A CN202010777671.4A CN202010777671A CN111947712A CN 111947712 A CN111947712 A CN 111947712A CN 202010777671 A CN202010777671 A CN 202010777671A CN 111947712 A CN111947712 A CN 111947712A
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- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S19/00—Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
- G01S19/38—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
- G01S19/39—Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
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Abstract
The invention discloses a tea mechanical safety monitoring system based on big data, which monitors a factory processing environment and positions tea equipment through the mutual cooperation of an environment monitoring module, a data acquisition module, a wireless communication module, a login module, a server, a database, an alarm module, a task release module, a feedback module and an information processing module, and carries out alarm prompt through the alarm module when the processing environment is not suitable, the data acquisition module is used for acquiring the working information of a tea machine, the task release module is used for releasing tasks after an operator finds that the equipment except temperature, rolling pressure and vibration frequency is abnormal in operation, and the tea machine is ensured to operate safely through the mutual cooperation among the modules, so that the well-made tea is manufactured.
Description
Technical Field
The invention relates to a tea machine, in particular to a tea machine safety monitoring system based on big data, and belongs to the technical field of mechanical safety monitoring.
Background
Tea leaves are originated in China, and the tea leaves are used as sacrificial offerings at the earliest time. However, the beverage is eaten by people in the late spring and autumn, is developed into a medicinal food in the middle of Western Han, is developed into a palace high-grade beverage in the later period of Western Han, and is popularized among people as a common beverage which is the thing after the West jin. The ancient site of tea leaves planted artificially in Tianlushan mountain of Yuyao, Zhejiang has been found to have a history of more than 6000 years. Tea drinking begins in china. The leatheroid is oblong or elliptical, can be directly soaked and drunk by boiled water, and is divided into six categories according to variety, manufacturing mode and product appearance. The tea can be spring tea, summer tea, autumn tea and winter tea according to the seasons. Various raw tea or refined tea is processed into tea, including scented tea, compressed tea, extracted tea, medicinal health tea, tea food, tea-containing beverage, etc.
The tea processing is also called tea making, which is a process of making various semi-finished or finished tea from fresh tea leaves through various processing procedures. According to different processing procedures, the method can be divided into primary processing (primary processing), refining (fine processing), reprocessing and deep processing. Different tea types can be formed by different processing technologies, and the quality of the tea leaves of each tea type depends on the coordination and coordination of the processing procedures; the high-quality fresh leaf raw material can produce various high-quality tea leaves only under the excellent processing conditions.
The tea machine plays an important role in tea processing, a good tea machine can process tea with excellent quality, attention needs to be paid to the quality of the tea, and the safety and correct use of the tea machine are also increased, so that the good tea can be accurately processed in the tea processing process.
Disclosure of Invention
The invention aims to provide a tea machine safety monitoring system based on big data, which monitors the processing environment of a factory and positions tea machines through the mutual cooperation of an environment monitoring module, a data acquisition module, a wireless communication module, a login module, a server, a database, an alarm module, a task issuing module, a feedback module and an information processing module, and carries out alarm prompt through the alarm module when the processing environment is not suitable, wherein the data acquisition module is used for acquiring the working information of the tea machines and sending the working information of the tea machines to the server, the server sends the working information to the information processing module for processing, the database is used for storing all the information acquired by the environment monitoring module and the data acquisition module and generating an information recording table, the task issuing module is used for finding temperature-removing information by operators in operation, The device outside the rolling pressure and the vibration frequency is abnormal and then task release is carried out, the login module is used for maintainers and operators to submit personnel information through the mobile phone terminal to register and send the personnel information which is successfully registered to the server, and through mutual matching among the modules, the safe operation of tea machinery is ensured, and then good tea is manufactured.
The purpose of the invention can be realized by the following technical scheme: a tea mechanical safety monitoring system based on big data comprises an environment monitoring module, a data acquisition module, a wireless communication module, a login module, a server, a database, an alarm module, a task release module, a feedback module and an information processing module; the environment monitoring module comprises a camera, a temperature sensor, a GPS position indicator and a power supply module, and the power supply module supplies power to the camera, the temperature sensor, the humidity sensor and the GPS position indicator;
the camera is arranged in the factory building and used for collecting the types of tea machines in the factory building and recording real-time image information, the temperature sensor is arranged in the factory building and used for collecting the temperature value in the factory building in real time, the humidity sensor is arranged in the factory building and used for collecting the humidity value in the factory building in real time, the GPS locator is arranged in the tea machines and used for collecting the position information of the tea machines, and the environment monitoring module is used for sending the collected information to the server through the wireless communication module;
the server is connected with the external Internet, identifies the type information of the tea machine, acquires the optimal operation environment information of the tea machine according to the type information of the tea machine and compares the optimal operation environment information with the information acquired by the environment monitoring module, and if one of the real-time temperature value and the real-time humidity value exceeds or is lower than the optimal operation environment information, the server controls the alarm module to give an alarm and displays the exceeding temperature value or humidity value on the display screen;
the data acquisition module is used for gathering the mechanical work information of tealeaves to in sending the mechanical work information of tealeaves to the server, the server sends work information to information processing module and handles, and concrete processing step is as follows:
the method comprises the following steps: the environment monitoring module collects position information of the tea machine and sends the position information of the tea machine to the server through the wireless communication module, and the server numbers the position information as i, i is 1, … … and n;
step two: the data acquisition module acquires the temperature value of the tea machine and sends the temperature value of the tea machine to the server through the wireless communication module, and the server marks the temperature value as Ti; the data acquisition module acquires the vibration frequency of the tea machine and sends the vibration frequency of the tea machine to the server through the wireless communication module, and the server marks the vibration frequency as Fi; the data acquisition module acquires the rolling pressure value of the tea machine and sends the rolling pressure value of the tea machine to the server through the wireless communication module, and the server marks the rolling pressure value as Pi;
step three: setting a normal value Zi; using formulas
Obtaining a normal value Zi, wherein a, b, c, d and lambda are preset adjusting factors;
step four: when the normal value exceeds a set normal threshold value, the tea mechanical mark is abnormal equipment; the information processing module sends the abnormal equipment to the maintenance management distribution module, controls the alarm module to give an alarm and displays the serial number of the abnormal equipment on the display screen;
the maintenance pipe distribution module is used for distributing abnormal equipment to maintenance personnel for equipment maintenance, and the specific distribution steps are as follows:
s1: marking the personnel to be maintained as m, wherein m is 1, … … and n;
s2: calculating the distance between the position of the abnormal equipment and the position of a maintainer to obtain a maintenance interval, and marking the maintenance interval as Lm;
s3: setting the number of the personnel to be maintained to be recorded as U; recording the maintenance value of the personnel to be maintained as Q;
s4: using formulas
Acquiring an anastomosis value F of a maintainer; wherein e, f, g and h are all preset proportionality coefficients;
s5: selecting three maintainers with larger coincidence values, sending the maintenance requirements and the positions of abnormal equipment to mobile phone terminals of the three maintainers by a maintenance management distribution module, starting timing, sending 'tasks are received' to mobile phone terminals of other two maintainers by the maintenance management distribution module after one maintainer confirms to receive orders, if the tasks are still not received in a timing period, controlling an alarm module to give an alarm by the maintenance management distribution module, and sending the numbers and the positions of the abnormal equipment to the mobile phone terminal led by the maintainers.
Preferably, the system further comprises a login module, wherein the login module is used for the maintenance personnel and the operation personnel to submit personnel information through the mobile phone terminal for registration and send the personnel information which is successfully registered into the server, and the personnel information comprises a real name, an identification card number, a mobile phone number of real-name authentication and a position.
Preferably, the system further comprises a task issuing module, wherein the task issuing module is used for issuing a task after an operator finds that the equipment except the temperature, the rolling pressure and the vibration frequency is abnormal in operation, the operator sends found abnormal information to the server through the mobile phone terminal, the server sends the abnormal information to the maintenance pipe distribution module, and the abnormal information comprises: the number of the abnormal device, the position of the abnormal device and the description of the abnormal point of the abnormal device.
Preferably, the alarm module comprises an alarm and a display screen, the alarm is used for emitting alarm sound and flashing light, and the display screen is used for displaying text information including abnormal equipment numbers, abnormal temperature or humidity.
Preferably, the system further comprises a database, wherein the database is used for storing all information collected by the environment monitoring module and the data collection module and generating an information record table.
Preferably, the data acquisition module comprises a temperature sensor, a pressure sensor, a vibration sensor and a direct-current power supply module, wherein the direct-current power supply module is used for converting the factory building alternating current into direct current and supplying power to the temperature sensor, the pressure sensor and the vibration sensor.
Preferably, the system further comprises a feedback module, the maintenance management distribution module sends an instruction to the feedback module while distributing the maintenance management task, after maintenance is completed by the maintenance personnel, the maintenance personnel submit maintenance completion information to the maintenance management distribution module on the mobile phone terminal, the maintenance management distribution module receives the maintenance completion information and sends the information to the mobile phone terminal of the operation personnel, after the operation personnel confirms maintenance, one maintenance task can be completed, and the maintenance value of the maintenance personnel is increased by one.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention relates to a safety monitoring system for tea machinery based on big data, which is characterized in that a camera is arranged in a factory building and used for acquiring the type of tea machinery in the factory building and recording real-time image information, a temperature sensor is arranged in the factory building and used for acquiring the temperature value in the factory building in real time, a humidity sensor is arranged in the factory building and used for acquiring the humidity value in the factory building in real time, a GPS (global positioning system) locator is arranged in the tea machinery and used for acquiring the position information of the tea machinery, and an environment monitoring module is used for sending the acquired information to a server through a wireless communication module; the server is connected with the external Internet, identifies the type information of the tea machine, acquires the optimal operation environment information of the tea machine according to the type information of the tea machine and compares the optimal operation environment information with the information acquired by the environment monitoring module, and if one of the real-time temperature value and the real-time humidity value exceeds or is lower than the optimal operation environment information, the server controls the alarm module to give an alarm and displays the exceeding temperature value or humidity value on the display screen.
2. The data acquisition module is used for acquiring the working information of the tea machine and sending the working information of the tea machine to the server, and the server sends the working information to the information processing module for processingProcessing, wherein an environment monitoring module acquires position information of a tea machine and sends the position information of the tea machine to a server through a wireless communication module, and the server numbers the position information as i, i is 1, … … and n; the data acquisition module acquires the temperature value of the tea machine and sends the temperature value of the tea machine to the server through the wireless communication module, and the server marks the temperature value as Ti; the data acquisition module acquires the vibration frequency of the tea machine and sends the vibration frequency of the tea machine to the server through the wireless communication module, and the server marks the vibration frequency as Fi; the data acquisition module acquires the rolling pressure value of the tea machine and sends the rolling pressure value of the tea machine to the server through the wireless communication module, and the server marks the rolling pressure value as Pi; setting a normal value Zi; using formulas
Obtaining a normal value Zi, wherein a, b, c, d and lambda are preset adjusting factors; when the normal value exceeds a set normal threshold value, the tea mechanical mark is abnormal equipment; and the information processing module sends the abnormal equipment to the maintenance pipe distribution module, controls the alarm module to alarm and displays the serial number of the abnormal equipment on the display screen.
3. The maintenance management distribution module is used for distributing abnormal equipment to maintenance personnel for equipment maintenance, and marking the maintenance personnel as m, wherein m is 1, … … and n; calculating the distance between the position of the abnormal equipment and the position of a maintainer to obtain a maintenance interval, and marking the maintenance interval as Lm; setting the number of the personnel to be maintained to be recorded as U; recording the maintenance value of the personnel to be maintained as Q; using formulas
Acquiring an anastomosis value F of a maintainer; wherein e, f, g and h are all preset proportionality coefficients; selecting three maintainers with larger coincidence values, sending the maintenance requirements and the positions of abnormal equipment to mobile phone terminals of the three maintainers by the vascular allocation module, starting timing, and sending 'tasks are received' to other two maintainers by the vascular allocation module after one maintainer confirms order receivingAnd if the task is still not received by the mobile phone terminal of the maintainer in a timing period, the maintenance management distribution module controls the alarm module to give an alarm and sends the number and the position of the abnormal equipment to the mobile phone terminal of the maintainer leader.
4. The system also comprises a login module, wherein the login module is used for submitting personnel information for registration by maintenance personnel and operating personnel through the mobile phone terminal and sending the personnel information which is successfully registered into the server, and the personnel information comprises a real name, an identity card number, a mobile phone number for real-name authentication and a position; the system further comprises a task issuing module, wherein the task issuing module is used for issuing tasks after an operator finds that the equipment except the temperature, the rolling pressure and the vibration frequency is abnormal in operation, the operator sends found abnormal information to the server through the mobile phone terminal, the server sends the abnormal information to the maintenance pipe distribution module, and the abnormal information comprises: the serial number of the abnormal equipment, the position of the abnormal equipment and the description of an abnormal point of the abnormal equipment; the alarm module comprises an alarm and a display screen, the alarm is used for giving out alarm sound and flashing, and the display screen is used for displaying text information including abnormal equipment numbers, abnormal temperatures or temperatures; the system also comprises a database, wherein the database is used for storing all the information acquired by the environment monitoring module and the data acquisition module and generating an information recording table; the data acquisition module comprises a temperature sensor, a pressure sensor, a vibration sensor and a direct-current power supply module, wherein the direct-current power supply module is used for converting the alternating current of the factory building into direct current and supplying power to the temperature sensor, the pressure sensor and the vibration sensor; the system further comprises a feedback module, the maintenance management distribution module can send an instruction to the feedback module while distributing maintenance tasks, after maintenance is completed by maintenance personnel, the maintenance personnel submit maintenance completion information to the maintenance management distribution module on the mobile phone terminal, the maintenance management distribution module receives the maintenance completion information and sends information to the mobile phone terminal of the operation personnel, after the operation personnel confirm maintenance, one maintenance task can be completed, and the maintenance value of the maintenance personnel 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 a tea mechanical safety monitoring system based on big data according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a tea leaf mechanical safety monitoring system based on big data comprises an environment monitoring module, a data acquisition module, a wireless communication module, a login module, a server, a database, an alarm module, a task issuing module, a feedback module and an information processing module; the environment monitoring module comprises a camera, a temperature sensor, a GPS position indicator and a power supply module, and the power supply module supplies power to the camera, the temperature sensor, the humidity sensor and the GPS position indicator;
the camera is arranged in the factory building and used for collecting the types of tea machines in the factory building and recording real-time image information, the temperature sensor is arranged in the factory building and used for collecting the temperature value in the factory building in real time, the humidity sensor is arranged in the factory building and used for collecting the humidity value in the factory building in real time, the GPS locator is arranged in the tea machines and used for collecting the position information of the tea machines, and the environment monitoring module is used for sending the collected information to the server through the wireless communication module;
the server is connected with the external Internet, identifies the type information of the tea machine, acquires the optimal operation environment information of the tea machine according to the type information of the tea machine and compares the optimal operation environment information with the information acquired by the environment monitoring module, and if one of the real-time temperature value and the real-time humidity value exceeds or is lower than the optimal operation environment information, the server controls the alarm module to give an alarm and displays the exceeding temperature value or humidity value on the display screen;
the data acquisition module is used for gathering the mechanical work information of tealeaves to in sending the mechanical work information of tealeaves to the server, the server sends work information to information processing module and handles, and concrete processing step is as follows:
the method comprises the following steps: the environment monitoring module collects position information of the tea machine and sends the position information of the tea machine to the server through the wireless communication module, and the server numbers the position information as i, i is 1, … … and n;
step two: the data acquisition module acquires the temperature value of the tea machine and sends the temperature value of the tea machine to the server through the wireless communication module, and the server marks the temperature value as Ti; the data acquisition module acquires the vibration frequency of the tea machine and sends the vibration frequency of the tea machine to the server through the wireless communication module, and the server marks the vibration frequency as Fi; the data acquisition module acquires the rolling pressure value of the tea machine and sends the rolling pressure value of the tea machine to the server through the wireless communication module, and the server marks the rolling pressure value as Pi;
step three: setting a normal value Zi;
using formulas
Obtaining a normal value Zi, wherein a, b, c, d and lambda are preset adjusting factors;
step four: when the normal value exceeds a set normal threshold value, the tea mechanical mark is abnormal equipment; the information processing module sends the abnormal equipment to the maintenance management distribution module, controls the alarm module to give an alarm and displays the serial number of the abnormal equipment on the display screen;
the maintenance pipe distribution module is used for distributing abnormal equipment to maintenance personnel for equipment maintenance, and the specific distribution steps are as follows:
s1: marking the personnel to be maintained as m, wherein m is 1, … … and n;
s2: calculating the distance between the position of the abnormal equipment and the position of a maintainer to obtain a maintenance interval, and marking the maintenance interval as Lm;
s3: setting the number of the personnel to be maintained to be recorded as U; recording the maintenance value of the personnel to be maintained as Q;
s4: using formulas
Acquiring an anastomosis value F of a maintainer; wherein e, f, g and h are all preset proportionality coefficients;
s5: selecting three maintainers with larger coincidence values, sending the maintenance requirements and the positions of abnormal equipment to mobile phone terminals of the three maintainers by a maintenance management distribution module, starting timing, sending 'tasks are received' to mobile phone terminals of other two maintainers by the maintenance management distribution module after one maintainer confirms to receive orders, if the tasks are still not received in a timing period, controlling an alarm module to give an alarm by the maintenance management distribution module, and sending the numbers and the positions of the abnormal equipment to the mobile phone terminal led by the maintainers.
The system further comprises a login module, wherein the login module is used for submitting personnel information for registration and sending the personnel information which is successfully registered to the server by maintenance personnel and operating personnel through the mobile phone terminal, and the personnel information comprises a real name, an identification card number, a mobile phone number for real-name authentication and a position.
The system further comprises a task issuing module, wherein the task issuing module is used for issuing a task after an operator finds that the equipment except the temperature, the rolling pressure and the vibration frequency is abnormal in operation, the operator sends found abnormal information to the server through the mobile phone terminal, the server sends the abnormal information to the maintenance pipe distribution module, and the abnormal information comprises: the number of the abnormal device, the position of the abnormal device and the description of the abnormal point of the abnormal device.
The alarm module comprises an alarm and a display screen, the alarm is used for giving out alarm sound and flashing, and the display screen is used for displaying text information including abnormal equipment numbers, abnormal temperature or humidity.
The system also comprises a database, wherein the database is used for storing all information collected by the environment monitoring module and the data collection module and generating an information record table.
The data acquisition module comprises a temperature sensor, a pressure sensor, a vibration sensor and a direct-current power supply module, wherein the direct-current power supply module is used for converting factory building alternating current into direct current and supplying power to the temperature sensor, the pressure sensor and the vibration sensor.
The system further comprises a feedback module, the maintenance management distribution module can send an instruction to the feedback module when distributing maintenance management tasks, after maintenance is completed by maintenance personnel, the maintenance personnel submit maintenance completion information to the maintenance management distribution module on the mobile phone terminal, the maintenance management distribution module receives the maintenance completion information and sends the information to the mobile phone terminal of the operation personnel, after the operation personnel confirm maintenance, one maintenance task can be completed, and the maintenance value of the maintenance personnel is increased by one.
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.
A tea machine safety monitoring system based on big data is characterized in that during work, a camera is used for collecting the type of tea machines in a factory building and recording real-time image information, a temperature sensor is used for collecting temperature values in the factory building in real time, a humidity sensor is used for collecting humidity values in the factory building in real time, a GPS (global positioning system) positioning instrument is used for collecting tea machine position information, and an environment monitoring module is used for sending the collected information to a server through a wireless communication module; the server is connected with the external Internet, identifies the type information of the tea machine, acquires the optimal operation environment information of the tea machine according to the type information of the tea machine and compares the optimal operation environment information with the information acquired by the environment monitoring module, and if one of the real-time temperature value and the real-time humidity value exceeds or is lower than the optimal operation environment information, the server controls the alarm module to alarm and displays the exceeding temperature value or humidity value on the display screen;
the data acquisition module acquires the working information of the tea machine and sends the working information of the tea machine to the server, the server sends the working information to the information processing module for processing, the position information of the tea machine is acquired, and the position information is numbered as i, wherein i is 1, … … and n; collecting a temperature value Ti of a tea machine; collecting the vibration frequency Fi of the tea machine; collecting a rolling pressure value Pi of a tea machine; setting a normal value Zi; using formulas
Obtaining a normal value Zi; when the normal value exceeds a set normal threshold value, the tea mechanical mark is abnormal equipment; meanwhile, the alarm module is controlled to alarm, and the number of the abnormal equipment is displayed on a display screen; the maintenance management distribution module is used for distributing abnormal equipment to maintenance personnel for equipment maintenance, and marking the maintenance personnel as m, wherein m is 1, … … and n; calculating the distance between the position of the abnormal equipment and the position of a maintainer to obtain a maintenance interval, and marking the maintenance interval as Lm; setting the number of the personnel to be maintained to be recorded as U; recording the maintenance value of the personnel to be maintained as Q; using formulas
Acquiring an anastomosis value F of a maintainer; selecting three maintainers with larger coincidence values, sending the maintenance requirements and the positions of abnormal equipment to mobile phone terminals of the three maintainers by a maintenance management distribution module, starting timing, sending 'tasks are received' to mobile phone terminals of other two maintainers by the maintenance management distribution module after one maintainer confirms to receive orders, if the tasks are still not received in a timing period, controlling an alarm module to give an alarm by the maintenance management distribution module, and sending the numbers and the positions of the abnormal equipment to the mobile phone terminal led by the maintainers.
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 tea mechanical safety monitoring system based on big data is characterized by comprising an environment monitoring module, a data acquisition module, a wireless communication module, a login module, a server, a database, an alarm module, a task release module, a feedback module and an information processing module; the environment monitoring module comprises a camera, a temperature sensor, a GPS position indicator and a power supply module, and the power supply module supplies power to the camera, the temperature sensor, the humidity sensor and the GPS position indicator;
the camera is arranged in the factory building and used for collecting the types of tea machines in the factory building and recording real-time image information, the temperature sensor is arranged in the factory building and used for collecting the temperature value in the factory building in real time, the humidity sensor is arranged in the factory building and used for collecting the humidity value in the factory building in real time, the GPS locator is arranged in the tea machines and used for collecting the position information of the tea machines, and the environment monitoring module is used for sending the collected information to the server through the wireless communication module;
the server is connected with the external Internet, identifies the type information of the tea machine, acquires the optimal operation environment information of the tea machine according to the type information of the tea machine and compares the optimal operation environment information with the information acquired by the environment monitoring module, and if one of the real-time temperature value and the real-time humidity value exceeds or is lower than the optimal operation environment information, the server controls the alarm module to give an alarm and displays the exceeding temperature value or humidity value on the display screen;
the data acquisition module is used for gathering the mechanical work information of tealeaves to in sending the mechanical work information of tealeaves to the server, the server sends work information to information processing module and handles, and concrete processing step is as follows:
the method comprises the following steps: the environment monitoring module collects position information of the tea machine and sends the position information of the tea machine to the server through the wireless communication module, and the server numbers the position information as i, i is 1, … … and n;
step two: the data acquisition module acquires the temperature value of the tea machine and sends the temperature value of the tea machine to the server through the wireless communication module, and the server marks the temperature value as Ti; the data acquisition module acquires the vibration frequency of the tea machine and sends the vibration frequency of the tea machine to the server through the wireless communication module, and the server marks the vibration frequency as Fi; the data acquisition module acquires the rolling pressure value of the tea machine and sends the rolling pressure value of the tea machine to the server through the wireless communication module, and the server marks the rolling pressure value as Pi;
step three: setting a normal value Zi; using formulas
Obtaining a normal value Zi, wherein a, b, c, d and lambda are preset adjusting factors;
step four: when the normal value exceeds a set normal threshold value, the tea mechanical mark is abnormal equipment; the information processing module sends the abnormal equipment to the maintenance management distribution module, controls the alarm module to give an alarm and displays the serial number of the abnormal equipment on the display screen;
the maintenance pipe distribution module is used for distributing abnormal equipment to maintenance personnel for equipment maintenance, and the specific distribution steps are as follows:
s1: marking the personnel to be maintained as m, wherein m is 1, … … and n;
s2: calculating the distance between the position of the abnormal equipment and the position of a maintainer to obtain a maintenance interval, and marking the maintenance interval as Lm;
s3: setting the number of the personnel to be maintained to be recorded as U; recording the maintenance value of the personnel to be maintained as Q;
s4: using formulas
Acquiring an anastomosis value F of a maintainer; wherein e, f, g and h are all preset proportionality coefficients;
s5: selecting three maintainers with larger coincidence values, sending the maintenance requirements and the positions of abnormal equipment to mobile phone terminals of the three maintainers by a maintenance management distribution module, starting timing, sending 'tasks are received' to mobile phone terminals of other two maintainers by the maintenance management distribution module after one maintainer confirms to receive orders, if the tasks are still not received in a timing period, controlling an alarm module to give an alarm by the maintenance management distribution module, and sending the numbers and the positions of the abnormal equipment to the mobile phone terminal led by the maintainers.
2. The tea mechanical safety monitoring system based on big data as claimed in claim 1, further comprising a login module, wherein the login module is used for maintenance personnel and operation personnel to submit personnel information through a mobile phone terminal for registration and send the personnel information with successful registration to the server, and the personnel information comprises a real name, an identification number, a mobile phone number with real name authentication and a position.
3. The tea mechanical safety monitoring system based on big data as claimed in claim 1, characterized in that the system further comprises a task issuing module, the task issuing module is used for issuing a task after an operator finds that the equipment except temperature, rolling pressure and vibration frequency is abnormal in operation, the operator sends the found abnormal information to the server through the mobile phone terminal, the server sends the abnormal information to the maintenance pipe distribution module, and the abnormal information includes: the number of the abnormal device, the position of the abnormal device and the description of the abnormal point of the abnormal device.
4. The tea mechanical safety monitoring system based on big data as claimed in claim 1, wherein the alarm module comprises an alarm and a display screen, the alarm is used for giving out alarm sound and flashing light, and the display screen is used for displaying text information including abnormal equipment numbers, abnormal temperature or humidity.
5. The tea mechanical safety monitoring system based on big data as claimed in claim 1, characterized in that the system further comprises a database, the database is used for storing all information collected by the environment monitoring module and the data collection module and generating an information record table.
6. The tea mechanical safety monitoring system based on big data as claimed in claim 1, wherein the data acquisition module comprises a temperature sensor, a pressure sensor, a vibration sensor and a DC power supply module, the DC power supply module is used for converting plant AC into DC and supplying power to the temperature sensor, the pressure sensor and the vibration sensor.
7. The tea mechanical safety monitoring system based on big data as claimed in claim 1, characterized in that the system further comprises a feedback module, the maintenance management allocation module sends an instruction to the feedback module while allocating maintenance tasks, after maintenance is completed by a maintenance person, the maintenance person submits maintenance completion information to the maintenance management allocation module on a mobile phone terminal, the maintenance management allocation module receives the maintenance completion information and sends information to an operator mobile phone terminal, after maintenance confirmation by the operator, one maintenance task can be completed, and the maintenance value of the maintenance person is increased by one.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010777671.4A CN111947712A (en) | 2020-08-05 | 2020-08-05 | Tea mechanical safety monitoring system based on big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117289745A (en) * | 2023-11-27 | 2023-12-26 | 湖北华中电力科技开发有限责任公司 | Operation monitoring method for digital power distribution room |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117289745A (en) * | 2023-11-27 | 2023-12-26 | 湖北华中电力科技开发有限责任公司 | Operation monitoring method for digital power distribution room |
| CN117289745B (en) * | 2023-11-27 | 2024-02-13 | 湖北华中电力科技开发有限责任公司 | Operation monitoring method for digital power distribution room |
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Application publication date: 20201117 |