CN113723315A - Raspberry pie-based utilization rate monitoring system - Google Patents
Raspberry pie-based utilization rate monitoring system Download PDFInfo
- Publication number
- CN113723315A CN113723315A CN202111020004.2A CN202111020004A CN113723315A CN 113723315 A CN113723315 A CN 113723315A CN 202111020004 A CN202111020004 A CN 202111020004A CN 113723315 A CN113723315 A CN 113723315A
- Authority
- CN
- China
- Prior art keywords
- equipment
- data
- time
- color
- camera
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 22
- 235000011034 Rubus glaucus Nutrition 0.000 title claims abstract description 14
- 235000009122 Rubus idaeus Nutrition 0.000 title claims abstract description 14
- 244000235659 Rubus idaeus Species 0.000 title description 4
- 240000007651 Rubus glaucus Species 0.000 claims abstract description 10
- 238000010586 diagram Methods 0.000 claims description 35
- 230000008859 change Effects 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 5
- 230000007613 environmental effect Effects 0.000 claims description 4
- 238000006243 chemical reaction Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 description 5
- 238000000034 method Methods 0.000 description 5
- 235000015108 pies Nutrition 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 241001137251 Corvidae Species 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 230000004913 activation Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Images
Landscapes
- Closed-Circuit Television Systems (AREA)
Abstract
The invention discloses a raspberry group-based utilization rate monitoring system, which comprises: the cameras are used for covering the whole monitored field and shooting the characteristics and the states of all equipment indicator lamps in real time; the camera module is used for comparing, judging and storing the images shot by the camera, and summarizing and uploading the stored data to the data server; the data server is used for receiving and storing the data uploaded by all the camera modules; the query display module is used for inputting the number of the equipment to be queried and the time interval, and displaying the utilization rate value of the equipment to be queried in the time interval by a graph; and the utilization rate calculating module is used for calling corresponding data from the data server according to the inquired equipment number and the time interval and calculating the utilization rate of the equipment in the time interval. The raspberry group-based utilization rate monitoring system has the advantages that the hardware requirement is low, the size is small, the calculated data amount is small, and the calculating speed is relatively high; the data only records changes, the reverse thrust is unchanged, and the recording quantity is small; the universality is strongest.
Description
Technical Field
The invention belongs to the technical field of utilization rate statistics, and particularly relates to a utilization rate monitoring system based on a raspberry group.
Background
The utilization, known in english as activation or utilization, is the proportion of the time that the equipment takes to create value within the time that it can provide. At present, in the prior art, the utilization rate statistical method is various, for example, a common traditional workshop adopts a mode of manually counting the utilization rate to count the actual production working hours of employees, and then calculates the ratio of the actual production working hours to the planned production working hours, so as to obtain the utilization rate of workshop equipment.
Or, by adding an electronic timer beside the equipment, staff can start the timer during actual production and processing and stop the timer when an abnormality occurs. The actual production working time is determined through the time of the timer, and then the utilization rate is obtained.
However, the above statistical method is time-consuming and labor-consuming, requires high participation of personnel, is time-consuming and labor-consuming in statistical work, has insufficient accuracy, is likely to cause error, omission and deficiency in statistics due to the dependence of the statistical work on the operation of personnel, and has a problem of insufficient accuracy, and also lacks real-time performance.
Raspberry pies were developed by the charitable organization "Raspberry Pi foundation" registered in the uk, Eben Upton being the lead of the project. In 3 months 2012, Eben epoton, university of cambridge, england, officially sells the smallest desktop computer, also called card computer, which is only credit card sized in appearance but has all the basic functions of a computer, namely Raspberry Pi computer board, the chinese translation "Raspberry group".
The raspberry group is a microcomputer mainboard based on an ARM, an SD/MicroSD card is used as a memory hard disk, 1/2/4 USB interfaces and a 10/100 Ethernet interface (A type does not have a network port) are arranged around the mainboard of the card, the mainboard can be connected with a keyboard, a mouse and a network cable, and meanwhile, the raspberry group is provided with a television output interface of video analog signals and an HDMI high-definition video output interface. The Raspberry Pi B model provides only a computer board, and has no memory, power supply, keyboard, chassis or wires.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a raspberry-pie-based utilization rate monitoring system.
In order to achieve the purpose, the invention adopts the following technical scheme: a raspberry group-based utilization monitoring system, comprising:
the cameras are used for covering the whole monitored field and shooting the characteristics and the states of all equipment indicator lamps in real time;
the camera module is used for comparing, judging and storing the images shot by the camera, and summarizing and uploading the stored data to the data server;
the data server is used for receiving and storing the data uploaded by all the camera modules;
the query display module is used for inputting the number of the equipment to be queried and the time interval, and displaying the utilization rate value of the equipment to be queried in the time interval by a graph;
and the utilization rate calculating module is used for calling corresponding data from the data server according to the inquired equipment number and the time interval and calculating the utilization rate of the equipment in the time interval.
Further, the camera module includes:
the comparison database is used for storing a pre-intercepted equipment indicator lamp characteristic diagram containing the environmental characteristics, numbering and storing the characteristic diagram and establishing an equipment identification rule;
the identification submodule is used for carrying out single-frame image identification on the image shot by the camera at a frequency not higher than that of the camera, carrying out equipment and light color identification on the single-frame image and an equipment indicator light characteristic diagram prestored in a comparison database, and temporarily storing the serial number of the successfully matched equipment indicator light characteristic diagram;
the comparison and judgment sub-module is used for comparing the characteristic diagram of the indicator light of the current frame matching device with the characteristic diagram of the indicator light of the previous frame matching device, if the numbers are the same, the indicator light is judged not to change color, data is not recorded, and if the numbers are different, the indicator light is judged to change color, the data is recorded;
and the uploading submodule is used for uploading data to a data server in a CSV format file according to the equipment number after the interval of fixed time/the number of the fixed records, gathering N color change records of one equipment into one file for uploading, and automatically naming and storing the uploaded file according to the (equipment number + uploading time).
Further, the data comprises comparison time, equipment number and lighting color; all time formats are in the form of year, month, day, hour, minute and second.
Furthermore, the characteristic diagram of the equipment indicator light is obtained by intercepting all pictures of the equipment indicator light from a video shot by a camera in advance, wherein the pictures are recorded in full color, and one picture is in one color.
Furthermore, the number of the device indicator light feature map at least comprises a device number field, a color field and an identification auxiliary field, and the device identification rule is to write the feature map identification records with the same device number field in the device indicator light feature map number into the same upload file.
Further, the camera module adopts a raspberry pie.
Further, the arrangement of the cameras enables each device to appear in at least two or more camera views, in which case the data server is required to deduplicate the received data, and the following steps are adopted: and comparing the data size of the same equipment uploaded by the two camera modules at the same time period, deleting the previous data if the data size is consistent, storing the two data if the data size is inconsistent, and alarming to manually remove the fault.
Further, the cameras are arranged so that all devices are monitored using a minimum number of cameras, the same device appearing in a plurality of camera views is designated a unique camera module to create a comparison database when a device identification rule is created, and data of the device is uploaded to the data server.
Further, the utilization calculation module includes:
the retrieval submodule is used for retrieving the specified equipment on the data server from an upload file which is earlier than the query starting time and is nearest to the upload file which is later than the query ending time and is nearest to the specified equipment according to the equipment number and the time interval which need to be queried and input by the query module, and combining the upload files into a new temporary file;
the searching submodule is used for searching a color-changing record which is earlier than the query starting time and is closest to the query starting time in the temporary file, quoting the light-on color of the record, generating a query starting time record and inserting the query starting time record into the temporary file according to the time sequence; searching a color change record which is later than the query ending time and is the nearest, referring to the light-up color of the record, generating a query ending time record, and inserting a temporary file according to the time sequence;
and the conversion sub-module is used for calculating the time difference after removing the record bars outside the query time period in the temporary file, converting the time difference into the duration, and displaying the lighting color and the duration of each device in a graph.
Further, the graph is a bar graph and comprises a real-time graph and a percentage graph.
The raspberry group-based utilization rate monitoring system has the following beneficial effects:
(1) compared with a comparison database, the single-frame image is not identified by artificial intelligence, the hardware requirement is low, the size is small, the calculated data amount is small, and the calculation speed is relatively high.
(2) The data only records changes, the reverse thrust is unchanged, and the recording quantity is small.
(3) The CSV file is uploaded to a data server, and the universality (compatibility) is strongest.
Drawings
FIG. 1 is a block diagram of an embodiment raspberry-pie based utilization monitoring system.
FIG. 2 is a schematic diagram of a feature diagram number and a data number of an indicator light of an embodiment.
FIG. 3 is an example utilization rate bar graph (a percent graph, b real time graph).
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It is to be understood that the embodiments described are merely exemplary of portions of this application and not all exemplary 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 application.
It should be noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of this application and the above-described drawings, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
FIG. 1 is a schematic diagram of a raspberry-pie based utilization monitoring system. Raspberry-pie-based utilization monitoring system comprising: and the cameras are used for covering the whole monitored field and shooting the characteristics and the states of all equipment indicator lamps in real time. And the camera module is used for comparing, comparing and judging the images shot by the camera, then storing the images, and summarizing and uploading the stored data to the data server at fixed time intervals. And the data server is used for receiving and storing the data uploaded by all the camera modules. And the query display module is used for inputting the number of the equipment to be queried and the time interval, and displaying the utilization rate value of the equipment to be queried in the time interval by using a graph. And the utilization rate calculating module is used for calling corresponding data from the data server according to the inquired equipment number and the time interval and calculating the utilization rate of the equipment in the time interval.
The camera module includes: and the comparison database is used for storing a pre-intercepted device indicator light characteristic diagram containing the environmental characteristics, numbering and storing the characteristic diagram, and establishing a device identification rule, wherein the device indicator light characteristic diagram adopts a video shot in advance by a camera to intercept all the images of the device indicator light, one image in one color and a full-color record. The number of the device indicator light feature diagram at least comprises a device number field, a color field and an identification auxiliary field, and the device identification rule is to write the feature diagram identification records with the same device number field in the device indicator light feature diagram number into the same uploading file. And the identification submodule is used for carrying out single-frame image identification on the image shot by the camera at a frequency not higher than that of the camera, carrying out equipment and light color identification on the single-frame image and an equipment indicator light characteristic diagram prestored in a comparison database, and temporarily storing the serial number of the successfully matched equipment indicator light characteristic diagram. The comparison and judgment sub-module is used for comparing the characteristic diagram of the indicator light of the current frame matching device with the characteristic diagram of the indicator light of the previous frame matching device, if the numbers are the same, the indicator light is judged not to change color, data is not recorded, and if the numbers are different, the indicator light is judged to change color, the data is recorded; the data comprises the characteristic diagram number of the indicating lamp of the equipment, comparison time, the equipment number and the lighting color. And the uploading submodule is used for uploading data to a data server in a CSV format file according to the equipment number after the interval of fixed time/the number of the fixed records, gathering N color change records of one equipment into one file for uploading, and automatically naming and storing the uploaded file according to the (equipment number + uploading time). All time formats are in the form of year, month, day, hour, minute and second.
The camera module adopts a raspberry pie.
The arrangement of the cameras may be such that each device appears in at least more than two camera views. In this case, the data server needs to duplicate the data, and the following steps are adopted: and comparing the data size of the same equipment uploaded by the two camera modules at the same time period, deleting the previous data if the data size is consistent, storing the two data if the data size is inconsistent, and alarming to manually remove the fault.
Or the cameras are arranged so that all the devices are monitored by using the minimum number of cameras, the same device appears in a plurality of camera visual angles, a unique camera module is appointed to establish a comparison database when the device identification rule is established, and the data of the device is uploaded to the data server. No deduplication of the data is required.
The utilization rate calculation module includes: and the calling sub-module is used for calling the designated equipment on the data server from the latest uploaded file earlier than the query starting time to the latest uploaded file later than the query ending time according to the equipment number and the time interval required to be queried input by the query module, and combining the latest uploaded files into a new temporary file. The searching submodule is used for searching a color-changing record which is earlier than the query starting time and is closest to the query starting time in the temporary file, quoting the light-on color of the record, generating a query starting time record and inserting the query starting time record into the temporary file according to the time sequence; searching a color-changing record which is later than the query ending time and is the nearest, referring to the light-on color of the record, generating a query ending time record, and inserting the record into the temporary file according to the time sequence. And the conversion sub-module is used for calculating the time difference after removing the record bars outside the query time period in the temporary file, converting the time difference into the duration, and displaying the lighting color and the duration of each device in a graph. The graph is a bar graph and comprises a percentage graph and a real-time graph.
The method comprises the following specific steps:
1. after physical equipment is arranged (indicator lamp position is determined; camera is installed and positioned), an indicator lamp characteristic diagram (one color-one diagram, full color record) containing environmental characteristics is intercepted from a video, the serial number is stored in a camera module to establish a database, and an equipment corresponding rule (full color indicator lamp characteristic diagram-unique equipment serial number) is established. The feature map storage number contains at least 3 fields: 1. device number field, 2. color field, 3. identify auxiliary field (picture similarity percentage). If the device number fields are consistent, the devices are considered to be the same device; the signature identification records of different color fields but the same device number field are written to the same upload file.
2. A plurality of cameras are installed to cover all indicator lamps in a workshop, and full equipment monitoring is achieved. When one device appears in a plurality of camera visual angles, only one set of indicator light characteristic diagram can be recorded, and only one camera is adopted for recording; or the duplication of the data server can be removed according to the equipment number after the recording of a plurality of cameras. Further, the following arrangement of cameras can be adopted, so that each device at least appears in 2 or more camera visual angles. The scheme needs the data server to perform duplicate removal on the received data, and adopts the following steps: and comparing the data size of the same equipment uploaded by the two camera modules at the same time period, deleting the previous data if the data size is consistent, storing the two data if the data size is inconsistent, and alarming to manually remove the fault.
3. The camera module identifies a single frame image at a frequency not higher than that of the camera, compares the single frame image with the indicating lamp feature map library to identify the colors of equipment and lights, and temporarily stores the successfully matched feature map numbers.
4. And comparing the current frame matching feature map number with the previous frame matching feature map number to determine whether the current frame matching feature map number and the previous frame matching feature map number are the same. If the color of the indicator light is the same, judging that the indicator light is not discolored, and not recording data; if not, the indicator light is judged to change color, and the comparison time, the equipment number and the light color are recorded.
5. And temporarily storing the current frame feature image number instead of the previous frame number to prepare for comparison of the next frame. As shown in fig. 2.
6. After a certain amount of data (fixed time interval/fixed number of records) is stored in the camera module, the data are respectively uploaded to a data server in a CSV format file according to the equipment number (N color change records of one equipment are collected into one file to be uploaded). The uploaded files are automatically named and stored in the name of the equipment number and the uploading time. As shown in fig. 2.
7. All the time formats described above are the year, month, day, hour, minute and second (20210805-16: 48:42) format.
8. Calculating the utilization rate:
after the inquiry module inputs the number of the equipment to be inquired and the time period, the utilization rate calculation module calls the specified equipment on the data server to continuously obtain the latest uploaded file (including two described start and stop files) from the file which is earlier than the inquiry starting time and is the latest to the file which is later than the inquiry ending time, and the latest uploaded file is combined into a new temporary file.
Searching a color-changing record which is earlier than the query starting time and is the nearest in the temporary file, referring to the light-on color of the record, generating a query starting time record, and inserting the temporary file according to the time sequence. Searching a color-changing record which is later than the query ending time and is the nearest, referring to the light-on color of the record, generating a query ending time record, and inserting the record into the temporary file according to the time sequence.
And thirdly, after removing the record strips outside the query time period in the temporary file, calculating the time difference and converting the time difference into the duration.
The color and duration of the lighting are displayed by a graph (bar chart), a percentage chart and a real-time chart; multiple devices generate multiple histograms, as shown in fig. 3.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A raspberry-pie based utilization monitoring system, comprising:
the cameras are used for covering the whole monitored field and shooting the characteristics and the states of all equipment indicator lamps in real time;
the camera module is used for comparing, judging and storing the images shot by the camera, and summarizing and uploading the stored data to the data server;
the data server is used for receiving and storing the data uploaded by all the camera modules;
the query display module is used for inputting the number of the equipment to be queried and the time interval, and displaying the utilization rate value of the equipment to be queried in the time interval by a graph;
and the utilization rate calculating module is used for calling corresponding data from the data server according to the inquired equipment number and the time interval and calculating the utilization rate of the equipment in the time interval.
2. The raspberry-pie based utilization monitoring system of claim 1, wherein: the camera module includes: the comparison database is used for storing a pre-intercepted equipment indicator lamp characteristic diagram containing the environmental characteristics, numbering and storing the characteristic diagram and establishing an equipment identification rule;
the identification submodule is used for carrying out single-frame image identification on the image shot by the camera at a frequency not higher than that of the camera, carrying out equipment and light color identification on the single-frame image and an equipment indicator light characteristic diagram prestored in a comparison database, and temporarily storing the serial number of the successfully matched equipment indicator light characteristic diagram;
the comparison and judgment sub-module is used for comparing the characteristic diagram of the indicator light of the current frame matching device with the characteristic diagram of the indicator light of the previous frame matching device, if the numbers are the same, the indicator light is judged not to change color, data is not recorded, and if the numbers are different, the indicator light is judged to change color, the data is recorded;
and the uploading submodule is used for uploading data to a data server in a CSV format file according to the equipment number after the interval of fixed time/the number of the fixed records, gathering N color change records of one equipment into one file for uploading, and automatically naming and storing the uploaded file according to the (equipment number + uploading time).
3. The raspberry-pie based utilization monitoring system of claim 2, wherein: the data comprises comparison time, equipment number and lighting color; all time formats are in the form of year, month, day, hour, minute and second.
4. The raspberry-pie based utilization monitoring system of claim 2, wherein: the characteristic diagram of the equipment indicator light is obtained by intercepting pictures of all the equipment indicator lights from a video shot by a camera in advance, wherein the pictures are recorded in full color in one color.
5. The raspberry-pie based utilization monitoring system of claim 2, wherein: the number of the equipment indicator light feature diagram at least comprises an equipment number field, a color field and an identification auxiliary field, and the equipment identification rule is to write the feature diagram identification records with the same equipment number field in the equipment indicator light feature diagram number into the same uploading file.
6. The raspberry-pie based utilization monitoring system of claim 2, wherein: the camera module adopts a raspberry pie.
7. The raspberry-pie based utilization monitoring system of claim 1, wherein: the arrangement of the cameras enables each device to appear in at least more than two camera viewing angles, in which case the data server is required to deduplicate the received data, and the following steps are adopted: and comparing the data size of the same equipment uploaded by the two camera modules at the same time period, deleting the previous data if the data size is consistent, storing the two data if the data size is inconsistent, and alarming to manually remove the fault.
8. The raspberry-pie based utilization monitoring system of claim 2, wherein: the cameras are arranged so that a minimum number of cameras are used to monitor all devices, the same device appearing in multiple camera views is assigned a unique camera module to build a comparison database when device identification rules are established, and data for the device is uploaded to a data server.
9. The raspberry-pie based utilization monitoring system of claim 1, wherein: the utilization rate calculation module includes:
the retrieval submodule is used for retrieving the specified equipment on the data server from an upload file which is earlier than the query starting time and is nearest to the upload file which is later than the query ending time and is nearest to the specified equipment according to the equipment number and the time interval which need to be queried and input by the query module, and combining the upload files into a new temporary file;
the searching submodule is used for searching a color-changing record which is earlier than the query starting time and is closest to the query starting time in the temporary file, quoting the light-on color of the record, generating a query starting time record and inserting the query starting time record into the temporary file according to the time sequence; searching a color change record which is later than the query ending time and is the nearest, referring to the light-up color of the record, generating a query ending time record, and inserting a temporary file according to the time sequence;
and the conversion sub-module is used for calculating the time difference after removing the record bars outside the query time period in the temporary file, converting the time difference into the duration, and displaying the lighting color and the duration of each device in a graph.
10. The raspberry-pie based utilization monitoring system of claim 9, wherein: the graph is a bar graph and comprises a real-time graph and a percentage graph.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111020004.2A CN113723315A (en) | 2021-09-01 | 2021-09-01 | Raspberry pie-based utilization rate monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111020004.2A CN113723315A (en) | 2021-09-01 | 2021-09-01 | Raspberry pie-based utilization rate monitoring system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113723315A true CN113723315A (en) | 2021-11-30 |
Family
ID=78680421
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111020004.2A Pending CN113723315A (en) | 2021-09-01 | 2021-09-01 | Raspberry pie-based utilization rate monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113723315A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114359818A (en) * | 2022-03-16 | 2022-04-15 | 深圳市华付信息技术有限公司 | Utilization rate analysis method and device, computer equipment and storage medium |
| CN114979784A (en) * | 2022-04-13 | 2022-08-30 | 浙江大华技术股份有限公司 | Target video playing method and device, electronic device and storage medium |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2672702Y (en) * | 2003-04-11 | 2005-01-19 | 由田新技股份有限公司 | Monitoring device for producing device |
| CN102645595A (en) * | 2012-04-10 | 2012-08-22 | 明玮机械(东莞)有限公司 | Equipment overall efficiency detecting method |
| CN103592907A (en) * | 2013-10-14 | 2014-02-19 | 苏州市职业大学 | Network acquisition system |
| CN108196520A (en) * | 2018-01-16 | 2018-06-22 | 北京铂阳顶荣光伏科技有限公司 | A kind of device status monitoring method, module and device |
| CN207730232U (en) * | 2017-10-12 | 2018-08-14 | 广安峰泰新能源有限公司 | A kind of mobility local visualization device |
| KR20180099260A (en) * | 2017-02-28 | 2018-09-05 | 세종대학교산학협력단 | Techniques for enabling auto-configuration of infrared signaling for device control |
| CN111669671A (en) * | 2020-06-04 | 2020-09-15 | 广东柳道热流道系统有限公司 | Device for collecting working state information of different devices |
| CN112309000A (en) * | 2020-10-20 | 2021-02-02 | 重庆大学 | Machine tool utilization rate monitoring system of cloud platform |
| CN112446608A (en) * | 2020-11-24 | 2021-03-05 | 苏州迅驰智能科技有限公司 | OEE and Andon safety lamp management system and working method thereof |
| CN112720416A (en) * | 2020-12-29 | 2021-04-30 | 常熟希那基汽车零件有限公司 | Workpiece tracing method and system |
| CN112784217A (en) * | 2021-01-28 | 2021-05-11 | 上海西码智能科技股份有限公司 | Industrial equipment utilization rate statistical method and device, computer equipment and storage medium |
-
2021
- 2021-09-01 CN CN202111020004.2A patent/CN113723315A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN2672702Y (en) * | 2003-04-11 | 2005-01-19 | 由田新技股份有限公司 | Monitoring device for producing device |
| CN102645595A (en) * | 2012-04-10 | 2012-08-22 | 明玮机械(东莞)有限公司 | Equipment overall efficiency detecting method |
| CN103592907A (en) * | 2013-10-14 | 2014-02-19 | 苏州市职业大学 | Network acquisition system |
| KR20180099260A (en) * | 2017-02-28 | 2018-09-05 | 세종대학교산학협력단 | Techniques for enabling auto-configuration of infrared signaling for device control |
| CN207730232U (en) * | 2017-10-12 | 2018-08-14 | 广安峰泰新能源有限公司 | A kind of mobility local visualization device |
| CN108196520A (en) * | 2018-01-16 | 2018-06-22 | 北京铂阳顶荣光伏科技有限公司 | A kind of device status monitoring method, module and device |
| CN111669671A (en) * | 2020-06-04 | 2020-09-15 | 广东柳道热流道系统有限公司 | Device for collecting working state information of different devices |
| CN112309000A (en) * | 2020-10-20 | 2021-02-02 | 重庆大学 | Machine tool utilization rate monitoring system of cloud platform |
| CN112446608A (en) * | 2020-11-24 | 2021-03-05 | 苏州迅驰智能科技有限公司 | OEE and Andon safety lamp management system and working method thereof |
| CN112720416A (en) * | 2020-12-29 | 2021-04-30 | 常熟希那基汽车零件有限公司 | Workpiece tracing method and system |
| CN112784217A (en) * | 2021-01-28 | 2021-05-11 | 上海西码智能科技股份有限公司 | Industrial equipment utilization rate statistical method and device, computer equipment and storage medium |
Non-Patent Citations (3)
| Title |
|---|
| SEHRISH MALIK 等: "A Hybrid Scheduling Mechanism Based on Agent Cooperation Mechanism and Fair Emergency First in Smart Factory", 《IEEE ACCESS》, vol. 08, pages 227064 - 227075 * |
| 朱赛丰: "基于工业物联网的设备产能监视与分析系统的设计与实现", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》, no. 04, pages 029 - 92 * |
| 汤龙梅: "CAN总线与以太网互连系统设计与应用", 《中国优秀博硕士学位论文全文数据库 (硕士) 信息科技辑》, no. 05, pages 140 - 95 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114359818A (en) * | 2022-03-16 | 2022-04-15 | 深圳市华付信息技术有限公司 | Utilization rate analysis method and device, computer equipment and storage medium |
| CN114979784A (en) * | 2022-04-13 | 2022-08-30 | 浙江大华技术股份有限公司 | Target video playing method and device, electronic device and storage medium |
| CN114979784B (en) * | 2022-04-13 | 2024-01-09 | 浙江大华技术股份有限公司 | Playing method and device of target video, electronic device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113723315A (en) | Raspberry pie-based utilization rate monitoring system | |
| CN110855473A (en) | Monitoring method, device, server and storage medium | |
| CN111104394A (en) | Energy data warehouse system construction method and device | |
| CN102496099A (en) | Real-time emulation storage material management system | |
| CN110290346B (en) | Bidding video acquisition method based on intelligent video analysis | |
| CN113066070A (en) | Multi-source data fusion interaction method in three-dimensional scene | |
| CN110609774B (en) | Server fault auxiliary diagnosis system and method based on video image recognition | |
| CN115269515B (en) | Processing method for searching specified target document data | |
| CN111624970A (en) | Information reporting method, device, equipment and production control system | |
| CN112508476A (en) | Visual management system for intelligent warehousing scene | |
| CN110619308A (en) | Aisle sundry detection method, device, system and equipment | |
| CN113946627B (en) | Data accuracy detection early warning system and method under data real-time synchronization scene | |
| CN115186025A (en) | Automatic configuration method, system and equipment of visual report | |
| CN114036157A (en) | Method and device for monitoring transmission line tree obstacle, computer equipment and storage medium | |
| CN109635264A (en) | Game service datamation statistical method, system and storage medium | |
| CN206506622U (en) | A kind of abnormal detector of intelligent video monitoring | |
| CN115455106B (en) | Power distribution monitoring method, service platform, equipment and storage medium for power distribution operation and maintenance | |
| CN117009610A (en) | K line graph visualization system and method based on power data | |
| CN110929097A (en) | Video recording display method, device and storage medium | |
| CN111563085B (en) | Multidimensional grouping and business data binding system and method of BIM model | |
| CN116151557A (en) | Visual management method and device for inspection equipment and data cockpit system | |
| CN114860851A (en) | Data processing method, device, equipment and storage medium | |
| CN114444856A (en) | Auxiliary assembly system | |
| CN114153722A (en) | System and method for testing functions based on data components | |
| CN112990880A (en) | Cloud computing-based building engineering management system and management method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |