Equipment state monitoring system for production workshop

Abstract

The utility model discloses an equipment state monitoring system for a production workshop. The equipment state monitoring system comprises a plurality of noise sensors, a data acquisition and processing module, a data analysis module, a data monitoring module and a display, the plurality of noise sensors are respectively arranged near each piece of production equipment in a production workshop; the data acquisition and processing module is in communication connection with the plurality of noise sensors; the data analysis module is in communication connection with the data acquisition and processing module; the data monitoring module comprises a plurality of data monitoring units, the plurality of data monitoring units are in one-to-one correspondence with the plurality of noise sensors respectively, noise characteristic value thresholds of corresponding point positions are recorded in the plurality of data monitoring units respectively, and the plurality of data monitoring units are all in communication connection with the data analysis module; and the display is in communication connection with the data acquisition and processing module, the first data analysis unit and the data monitoring module. The alarm can be given when the production equipment has a slight fault, so that a worker can maintain the equipment in time.

Description

Technical Field

[0001] The utility model relates to the technical field, and in particular to an equipment status monitoring system for a production workshop. Background Art

[0002] As the degree of mechanization and automation in production workshops increases, production workshops use various production equipment that are set up in sequence for continuous production, which greatly improves production output, production efficiency and production quality. However, when one of the production equipment fails seriously, it may lead to production accidents and the shutdown of the entire production line, seriously affecting production efficiency and production output. Generally, the maintenance of production equipment with serious failures is complicated and takes a long time, resulting in a long shutdown time of the entire production line. When the production equipment fails slightly, it can be repaired in time, and the maintenance time will be relatively short. Therefore, it can be discovered when the production equipment fails slightly, which helps to shorten the shutdown time of the entire production line and avoid the occurrence of safety accidents, thereby improving production efficiency, production output and production safety. However, the monitoring system in the prior art cannot meet the above functions, and a monitoring system that can detect when a production equipment fails slightly is needed. Utility Model Content

[0003] In order to solve at least one aspect of the above-mentioned problems, the utility model provides an equipment status monitoring system for a production workshop. By utilizing the principle that abnormal noises will be generated when production equipment begins to malfunction, noise sensors are installed at the accessories of various production equipment in the production workshop. In combination with a data acquisition and processing module, a data analysis module, a data monitoring module, and a display, an alarm is generated when a minor fault occurs in the production equipment, so that the staff can carry out repairs in time, which helps to shorten the downtime of the entire production line and avoid the occurrence of safety accidents, thereby improving production efficiency, production output, and production safety.

[0004] The present application is implemented through the following technical solutions: an equipment status monitoring system for a production workshop, characterized in that it includes a plurality of noise sensors, a data acquisition and processing module, a data analysis module, a data monitoring module, and a display; the plurality of noise sensors are respectively arranged near each production equipment in the production workshop, and are used to convert the sound generated during the operation of each production equipment into an electrical signal; the data acquisition and processing module is communicatively connected with the plurality of noise sensors, and is used to receive the electrical signals of the plurality of noise sensors and convert them into digital noise data; the data analysis module includes a first data analysis unit, and the first data analysis unit is communicatively connected with the data acquisition and processing module, and is used to analyze the noise data and obtain its noise characteristic value; the data monitoring module includes a plurality of data monitoring units, and the plurality of data monitoring units correspond to the plurality of noise sensors one by one, and the plurality of data monitoring units respectively record the noise characteristic value thresholds of the corresponding points, and the plurality of data monitoring units are communicatively connected with the first data analysis unit, and are used to generate an alarm message when the noise characteristic value exceeds the noise characteristic value threshold; the display is communicatively connected with the data monitoring module, and is used to display the alarm message.

[0005] Preferably, it also includes a data storage module, which is communicatively connected to the first data analysis unit and is used to store noise characteristic values; the data analysis module also includes a second data analysis unit, which is communicatively connected to the data storage module and is used to analyze the noise characteristic values ​​of the corresponding production equipment during normal operation based on the stored noise characteristic values, and a number of data monitoring units set corresponding noise characteristic value thresholds based on the noise characteristic values ​​of the corresponding production equipment during normal operation analyzed in the second data analysis unit.

[0006] Preferably, the data storage module uses a time series database for storage.

[0007] Preferably, it also includes an alarm, which is communicatively connected with the data monitoring module and is used to sound an alarm when the data monitoring module generates alarm information.

[0008] Preferably, the noise sensor is disposed near a driving element of a corresponding production device.

[0009] Preferably, a bracket is fixedly connected near the driving element of the production equipment, and the noise sensor is fixedly connected to the top of the bracket.

[0010] Preferably, the distance between the bracket and the driving element of the production equipment is 5-15 cm.

[0011] Preferably, the display is communicatively connected to both the data acquisition and processing module and the first data analysis unit, and is used to display the digitized noise data and the corresponding noise characteristic values.

[0012] Preferably, the noise characteristic values ​​include peak value, spectrum distribution and duration.

[0013] The utility model provides an equipment status monitoring system for a production workshop, which has the following beneficial effects:

[0014] By setting noise sensors near the driving elements of each production equipment in the production workshop, the sound generated during the operation of the production equipment is converted into an electrical signal, and the signal is transmitted to the data acquisition and processing module, the electrical signal is converted into digital noise data and transmitted to the first data analysis unit for analysis to obtain a noise characteristic value, and then transmitted to the data monitoring module for comparison with the corresponding noise characteristic value threshold. When the noise characteristic value threshold is exceeded, it indicates that the corresponding production equipment has failed, and an alarm message is generated and displayed on the display, reminding the staff to perform repairs in time, which helps to shorten the shutdown time of the entire production line and avoid the occurrence of safety accidents, thereby improving production efficiency, production output and production safety; by communicating the display with the data acquisition and processing module and the first data analysis unit, the digital noise data and the corresponding noise characteristic value can be displayed, so that the staff can understand the operating status of the production equipment; by setting a data storage module connected to the first data analysis unit for storing historical data and current data of the noise characteristic value, and then setting a second data analysis unit connected to the data storage module for analyzing the normal range of the noise characteristic value of the production equipment in normal operation, so as to set the noise characteristic value threshold in the data monitoring module, which helps to improve the accuracy of the noise characteristic value threshold setting, thereby improving the accuracy of the monitoring system of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to better understand the above and other purposes, features, advantages and functions of the present invention, reference may be made to the embodiments shown in the accompanying drawings. The same reference numerals in the accompanying drawings refer to the same components. It should be understood by those skilled in the art that the accompanying drawings are intended to schematically illustrate the preferred embodiments of the present invention and have no limiting effect on the scope of the present invention, and the components in the drawings are not drawn to scale.

[0016] Figure 1 Shown is a structural block diagram according to an embodiment of the utility model.

[0017] Description of reference numerals:

[0018] 1. Noise sensor; 2. Data acquisition and processing module; 3. Data analysis module; 31. First data analysis unit; 32. Second data analysis unit; 4. Data monitoring module; 5. Display; 6. Alarm; 7. Data storage module. DETAILED DESCRIPTION

[0019] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0020] As used herein, the term "including" and its variations mean open inclusion, i.e., "including but not limited to". Unless otherwise stated, the term "or" means "and / or". The term "based on" means "based at least in part on". The terms "an example embodiment" and "an embodiment" mean "at least one example embodiment". The term "another embodiment" means "at least one additional embodiment". The terms "first", "second", etc. may refer to different or the same objects. Other explicit and implicit definitions may also be included below.

[0021] In order to at least partially solve one or more of the above problems and other potential problems, an embodiment of the present disclosure proposes an equipment status monitoring system for a production workshop, which is characterized by comprising a plurality of noise sensors 1, a data acquisition and processing module 2, a data analysis module 3, a data monitoring module 4, and a display 5; the plurality of noise sensors 1 are respectively arranged near each production equipment in the production workshop, and are used to convert the sound generated during the operation of each production equipment into an electrical signal; the data acquisition and processing module 2 is communicatively connected to the plurality of noise sensors 1, and is used to receive the electrical signals of the plurality of noise sensors 1 and convert them into digital noise data; the data analysis module 3 includes a first data analysis unit 31, and the first data analysis unit 31 is communicatively connected to the data acquisition and processing module 2, and is used to analyze the noise data and obtain its noise characteristic value; the data monitoring module 4 includes a plurality of data monitoring units, and the plurality of data monitoring units correspond to the plurality of noise sensors 1 one by one, and the plurality of data monitoring units respectively record the noise characteristic value thresholds of the corresponding points, and the plurality of data monitoring units are communicatively connected to the first data analysis unit 31, and are used to generate an alarm message when the noise characteristic value exceeds the noise characteristic value threshold; the display 5 is communicatively connected to the data monitoring module 4, and is used to display the alarm message.

[0022] Specifically, Figure 1As shown, the number of noise sensors 1 is equal to the number of production equipment to be monitored, and several noise sensors 1 are respectively arranged near each production equipment in the production workshop, and are used to convert the sound generated during the operation of each production equipment into an electrical signal. Preferably, the noise sensor 1 is arranged near the driving element of the corresponding production equipment. For example, for the air blower, the noise sensor 1 is arranged near the main motor of the air blower. Specifically, a bracket is fixedly connected near the driving element of the production equipment, and the noise sensor 1 is fixedly connected to the top of the bracket. The distance between the bracket and the driving element of the production equipment is preferably 5~15cm.

[0023] The data acquisition and processing module 2 is communicatively connected to the plurality of noise sensors 1, and is used for receiving the electrical signals of the plurality of noise sensors 1 and converting them into digital noise data, wherein converting the electrical signals of the noise sensors 1 into digital signals is a prior art; the data analysis module 3 includes a first data analysis unit 31, and the first data analysis unit 31 is communicatively connected to the data acquisition and processing module 2, and is used for analyzing the noise data and obtaining its noise characteristic value, wherein the noise characteristic value includes a peak value, a spectrum distribution and a duration, wherein analyzing the peak value, the spectrum distribution and the duration according to the noise data is a prior art; the data monitoring module 4 includes a plurality of data monitoring units, and the plurality of data monitoring units correspond to the plurality of noise sensors 1 one by one, and the plurality of data monitoring units respectively record the noise characteristic value thresholds of the corresponding points, and the plurality of data monitoring units are communicatively connected to the first data analysis unit 31, and are used for generating an alarm message when the noise characteristic value exceeds the noise characteristic value threshold.

[0024] In a preferred embodiment, the monitoring system of the present application also includes a data storage module 7, which uses a time series database to store current data and historical data. The data storage unit is communicated with the first data analysis unit 31 for storing noise characteristic values; the data analysis module 3 also includes a second data analysis unit 32, which is communicated with the data storage module 7 for analyzing the noise characteristic values ​​of the corresponding production equipment during normal operation according to the stored noise characteristic values, for example, analyzing the average value, standard deviation, maximum value and minimum value of the corresponding noise characteristic values ​​when the production equipment is operating normally according to the stored noise characteristic values, and several data monitoring units set corresponding noise characteristic value thresholds according to the noise characteristic values ​​of the corresponding production equipment when operating normally analyzed in the second data analysis unit 32, for example, the noise characteristic value threshold is set according to the maximum value and minimum value of the corresponding noise characteristic value when the production equipment is operating normally, or is set according to the corresponding noise average value and standard deviation when the production equipment is operating normally, wherein analyzing the average value, standard deviation, maximum value and minimum value according to several noise characteristic values ​​in the historical data belongs to the prior art.

[0025] The display 5 is connected to the data monitoring module 4 for displaying alarm information. Preferably, the display 5 is connected to the data acquisition and processing module 2 and the first data analysis unit 31 for displaying digitized noise data and corresponding noise characteristic values. The monitoring system of the present application also includes an alarm 6, which is connected to the data monitoring module 4 for alarming when the data monitoring module 4 generates alarm information.

[0026] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the present invention.

Claims

1. An equipment status monitoring system for a production workshop, characterized in that: It comprises a number of noise sensors (1), a data acquisition and processing module (2), a data analysis module (3), a data monitoring module (4), and a display (5); A plurality of noise sensors (1) are respectively arranged near each production equipment in the production workshop, and are used to convert the sound generated during the operation of each production equipment into an electrical signal; The data acquisition and processing module (2) is in communication connection with the plurality of noise sensors (1) and is used for receiving the electrical signals from the plurality of noise sensors (1) and converting them into digital noise data; The data analysis module (3) comprises a first data analysis unit (31), the first data analysis unit (31) being communicatively connected to the data acquisition and processing module (2) and being used for analyzing noise data to obtain its noise characteristic value; The data monitoring module (4) comprises a plurality of data monitoring units, each of which corresponds to each of the plurality of noise sensors (1) on a one-to-one basis, each of which records a noise characteristic value threshold of a corresponding point, and each of the plurality of data monitoring units is in communication connection with the first data analysis unit (31) and is used to generate an alarm message when the noise characteristic value exceeds the noise characteristic value threshold; The display (5) is communicatively connected to the data monitoring module (4) and is used to display alarm information.

2. The equipment status monitoring system for a production workshop according to claim 1, characterized in that: The data storage module (7) is also included, the data storage unit is in communication connection with the first data analysis unit (31) and is used to store noise characteristic values; the data analysis module (3) also includes a second data analysis unit (32) which is in communication connection with the data storage module (7) and is used to analyze the noise characteristic values ​​of the corresponding production equipment when it is operating normally based on the stored noise characteristic values; the plurality of data monitoring units set corresponding noise characteristic value thresholds based on the noise characteristic values ​​of the corresponding production equipment when it is operating normally analyzed by the second data analysis unit (32).

3. The equipment status monitoring system for a production workshop according to claim 2 is characterized in that: The data storage module (7) uses a time series database for storage.

4. The equipment status monitoring system for a production workshop according to claim 1, characterized in that: It also includes an alarm (6), which is connected to the data monitoring module (4) for communication and is used to sound an alarm when the data monitoring module (4) generates alarm information.

5. The equipment status monitoring system for a production workshop according to claim 1, characterized in that: The noise sensor (1) is arranged near a driving element of a corresponding production device.

6. The equipment status monitoring system for a production workshop according to claim 5, characterized in that: A bracket is fixedly connected near the driving element of the production equipment, and a noise sensor (1) is fixedly connected to the top of the bracket.

7. The equipment status monitoring system for a production workshop according to claim 6, characterized in that: The distance between the bracket and the driving element of the production equipment is 5-15 cm.

8. The equipment status monitoring system for a production workshop according to claim 1, characterized in that: The display (5) is communicatively connected to both the data acquisition and processing module (2) and the first data analysis unit (31), and is used to display digitized noise data and corresponding noise characteristic values.

9. The equipment status monitoring system for a production workshop according to claim 1, characterized in that: The noise characteristic values ​​include peak value, spectrum distribution and duration.

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