CN114408674B - Weight measurement method, electronic device and storage medium - Google Patents
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- 238000000691 measurement method Methods 0.000 title claims abstract description 13
- 238000003860 storage Methods 0.000 title claims abstract description 10
- 238000005259 measurement Methods 0.000 claims abstract description 147
- 238000000034 method Methods 0.000 claims abstract description 24
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 238000005303 weighing Methods 0.000 abstract description 6
- 230000006870 function Effects 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
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- 238000009776 industrial production Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
- B65H61/00—Applications of devices for metering predetermined lengths of running material
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G17/00—Apparatus for or methods of weighing material of special form or property
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
- B65H2701/00—Handled material; Storage means
- B65H2701/30—Handled filamentary material
- B65H2701/35—Ropes, lines
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
- B65H2701/00—Handled material; Storage means
- B65H2701/30—Handled filamentary material
- B65H2701/36—Wires
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Abstract
The application discloses a weight measurement method, an electronic device and a storage medium. Wherein the method comprises the following steps: collecting first measurement data uploaded by a device sensor; analyzing the first measurement data to obtain second measurement data; judging whether the second measurement data reach a preset measurement condition or not; and if the second measurement data reach the preset measurement condition, obtaining the weight of the article through the second measurement data. The method can solve the problem of low efficiency caused by the fact that the articles need to be manually conveyed to the weighing instrument for measurement in the prior art, improves the measurement efficiency and reduces the labor cost.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a weight measurement method, an electronic device, and a storage medium.
Background
With the development of industrial production technology, some conventional production methods have been inefficient, for example, in the conventional wire winding work, staff need to transport the produced bare wires to a work area, then transport each tray of bare wires to an electronic scale one by one for weighing, and transport the bare wires to a turnover area after weighing and labeling, and the weight of each tray of bare wires is about 40-50 kg/tray, so that the labor intensity of the staff is high, a large amount of physical power is consumed in each transportation, and the weight measurement method is inefficient.
Therefore, a weight measuring method independent of manpower is needed, the problem that in the prior art, the efficiency is low due to the fact that objects need to be manually conveyed to a weighing instrument for measurement is solved, the measuring efficiency is improved, and the labor cost is reduced.
Disclosure of Invention
The invention mainly aims to provide a weight measuring method, electronic equipment and a storage medium, so as to solve the problem of low efficiency caused by the fact that articles need to be manually conveyed to a weighing instrument for measurement in the prior art, improve the measurement efficiency and reduce the labor cost.
In a first aspect, the present invention provides a method of weight measurement, comprising:
collecting first measurement data uploaded by a device sensor;
analyzing the first measurement data to obtain second measurement data;
judging whether the second measurement data reach a preset measurement condition or not;
and if the second measurement data reach the preset measurement condition, obtaining the weight of the article through the second measurement data.
Optionally, the step of acquiring the first measurement data uploaded by the device sensor includes:
judging whether the first measurement data contain abnormal data or not;
and if the first measurement data contain abnormal data, deleting the abnormal data in the first measurement data.
Optionally, the step of acquiring the first measurement data uploaded by the device sensor includes:
the device sensor uploads first measurement data to a message queue.
Optionally, the message queue is a RabbitMQ.
Optionally, the step of analyzing the first measurement data to obtain the second measurement data includes:
judging whether the second measurement data reach a preset early warning condition or not;
and if the second measurement data reach a preset early warning condition, sending early warning information.
Optionally, if the second measurement data meets the preset measurement condition, the step of obtaining the weight of the article through the second measurement data includes:
sending an instruction to the device sensor to stop measuring.
Optionally, if the second measurement data meets the preset measurement condition, the step of obtaining the weight of the article through the second measurement data includes:
and uploading the second measurement data to a measurement system.
Optionally, the step of analyzing the first measurement data to obtain the second measurement data includes:
writing the second measurement data into a measurement data list;
and updating the second measurement data in the measurement data list by the first measurement data acquired again.
According to a second aspect of embodiments of the present invention, there is provided an electronic device comprising a memory and a processor, the memory being configured to store one or more computer instructions, wherein the one or more computer instructions, when executed by the processor, implement the weight measurement method of any one of the first aspect.
According to a third aspect of embodiments of the present invention, there is provided a storage medium in which a program is stored, the program being executed by a computer to implement the weight measurement method according to any one of the first aspect described above.
Compared with the prior art, one or more embodiments in the scheme can have the following advantages or beneficial effects:
according to the invention, the device sensor uploads the measurement data, so that the problem of low efficiency caused by the fact that articles need to be manually conveyed to the weighing instrument for measurement in the prior art is solved, the measurement efficiency is improved, and the labor cost is reduced.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings required to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings may be obtained based on these drawings without inventive labor.
Fig. 1 is a schematic flow chart of a weight measurement method according to an embodiment of the present invention;
fig. 2 is another schematic flow chart of a weight measurement method according to an embodiment of the present invention.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the accompanying drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the corresponding technical effects can be fully understood and implemented. The embodiments of the present invention and various features in the embodiments may be combined with each other on the premise of no conflict, and the formed technical solutions are all within the protection scope of the present invention.
Example one
As shown in fig. 1, an embodiment of the present invention provides a weight measurement method, including the following steps S101 to S105:
step S101: first measurement data uploaded by a device sensor are collected.
A device sensor, for example, a measurement sensor on the wire rewinding device, the measurement sensor being capable of measuring a current wire rewinding condition of the wire rewinding device, the wire rewinding device sensor uploading measurement data into a Message Queue, the first measurement data being, for example, raw data when the wire rewinding device collects a cable, the first measurement data including article length information, the Message Queue being, for example, message oriented middleware (RabbitMq) and Kafka that implement advanced Message queuing protocol, the first measurement data being, for example:
{"plant":"MS003","timestamp":1631537412000,"groups":{"G2SX":{"MS1":"0.0000","MW5":"220000.0000","MC3":"20.0000","MC2":"0.0040","MS4":"0.1700"}},"device":"DXL472","level":"2"}
the device field is an equipment sensor identifier, the timestamp field is a timestamp, the time generated by the data is the group field is specific detailed data, the MS1 field is the operation speed of the take-up equipment, the MC3 field is the current take-up length, and the NW5 field is the set take-up termination length. After receiving the first measurement data uploaded by the device sensor, it is necessary to determine whether the first measurement data contains abnormal data, for example, level fields in the first measurement data are illegal fields, so that the illegal fields need to be removed. Meanwhile, whether there is expired data needs to be determined, for example, if the time condition is set to be greater than the first 1 second of the current timestamp, if the received data is less than the first 1 second of the current timestamp, the received data is considered to be abnormal data, and the illegal data needs to be filtered out, for example, the current timestamp is 1631537413000, and the timestamp of the acquired data is 1631537411000, because the timestamp of the acquired data 1631537411000 is less than the previous second, that is, 1631537412000, of the current timestamp 1631537413000, the data is illegal data and cannot be used. To ensure the timeliness of the measured data, the device sensor is uploaded 1 time per second.
Step S102: and analyzing the first measurement data to obtain second measurement data.
After removing the abnormal data, analyzing the first measurement data to obtain second measurement data, where the second measurement data is measurement detail data, such as device sensor identifier DXL472, data timestamp 1631537412000, device operating speed 0.0000cm/s, current take-up length 20.0000cm, and set take-up termination length 220000.0000cm. And judging whether the measured data reaches a preset early warning condition or not, and if so, sending early warning information. If the preset early warning condition is met, early warning information, such as short message early warning, can be sent to related personnel if the preset early warning condition is set, for example, the threshold value of the running speed of the equipment is 100cm/s, and the running speed of the equipment obtained after collection and analysis is 120 cm/s.
Step S103: and judging whether the second measurement data reaches a preset measurement condition.
After the device sensor identification, the data timestamp, the device running speed, the current take-up length and the set take-up termination length are obtained through analysis, whether the second measurement data reach preset measurement conditions or not is judged, the preset measurement conditions are that the running speed of the device is 0, and the current take-up length is larger than the set take-up termination length, so that the second measurement data can be considered to reach the preset measurement conditions, and the take-up weight can be calculated through the take-up length. For example, the preset measurement condition is that the equipment operation speed is 0, the set threshold value of the take-up length is 5000cm, the second measurement data obtained after analysis is that the equipment operation speed is 0, the current take-up length is 5000cm, that is, the second measurement data just reaches the preset measurement condition, and the weight calculation can be performed.
Step S104: this second measurement data is ignored.
And if the second measurement data does not reach the preset measurement condition, ignoring the second measurement data.
Step S105: and obtaining the weight of the article according to the second measurement data.
According to the weight of 10g per cm line obtained by historical measurement data, the weight of 50000g of the take-up line can be calculated.
Example two
As shown in fig. 2, an embodiment of the present invention provides a weight measuring method, including the following steps S201 to S204:
step S201: first measurement data uploaded by a device sensor are collected.
A device sensor, for example, a measurement sensor on the wire take-up device, which is capable of measuring a current wire take-up situation of the wire take-up device, the wire take-up device sensor uploading measurement data into a Message Queue, the first measurement data, for example, raw state data when the wire take-up device collects a cable, the first measurement data including article length information, the Message Queue, for example, message oriented middleware RabbitMQ (RabbitMQ) and Kafka implementing an advanced Message Queue protocol, the first measurement data, for example:
{"plant":"MS005","timestamp":1631537422000,"groups":{"G2SX":{"NS1":"2.0000","NW5":"2200.0000","NC3":"20.0000","NC2":"0.0040","NS4":"0.1700"}},"device":"DXL472","level":"2"}
the device field is an equipment sensor identifier, the timestamp field is a timestamp, the time generated by the data is the group field is specific detail data, the NS1 field is the operation speed of the wire rewinding equipment, the NC3 field is the wire rewinding length at this time, and the NW5 field is the set wire rewinding termination length.
Step S202: and updating the second measurement data in the measurement data list according to the first measurement data.
For example, the device sensor identifier in the first measurement data is DXL472, the device operating speed is 2.0000cm/s, the set take-up termination length is 2200.0000cm, and the present take-up length is 20.0000cm. Through a CheckPoint (database write trigger event) function in a flag (distributed stream data streaming engine), first measurement data is written into a measurement data list of a cache database of the flag with a device sensor identifier as a key, so that subsequent updating operation is facilitated, a plurality of threads are set to be capable of processing a plurality of device data simultaneously, timeliness of the data is guaranteed, and when the first measurement data collected again is, for example:
{"plant":"MS005","timestamp":1631537422000,"groups":{"G2SX":{"NS1":"2.0000","NW5":"2200.0000","NC3":"40.0000","NC2":"0.0040","NS4":"0.1700"}},"device":"DXL472","level":"2"}
the collected wire rewinding length is 40.0000cm, existing data in the measurement data list are updated through the device sensor identifier DXL472, the accumulated wire rewinding length of the device sensor identifier DXL472 is updated to 60.0000cm, the wire rewinding length obtained in each collection is updated in an accumulated mode through the device sensor identifier, and the accumulated wire rewinding length is stored in the measurement data list.
Step S203: and judging whether the second measurement data reaches a preset measurement condition.
And judging whether the second measurement data reaches a preset measurement condition or not according to the equipment sensor identifier, the data timestamp, the equipment running speed, the current take-up length and the set take-up termination length in the second measurement data in the measurement data list, wherein the preset measurement condition is that the second measurement data reaches the preset measurement condition if the running speed of the equipment is 0 and the current take-up length is greater than the set take-up termination length, and the take-up weight can be calculated through the take-up length. For example, the preset measurement condition is that the device operating speed is 0, the set threshold value of the take-up length is 5000cm, the second measurement data in the measurement data list is that the device operating speed is 0, the current take-up length is 5000cm, that is, the second measurement data just reaches the preset measurement condition, and the take-up device stops operating.
Step S204: and obtaining the weight of the article according to the second measurement data.
According to the weight of 10g per cm line obtained by historical measurement data, the weight of 50000g of the take-up line can be calculated.
And after the wire take-up weight is obtained, writing the result into a RabbitMq queue, and informing the downstream to perform subsequent processing.
EXAMPLE III
Embodiments of the present invention provide an electronic device, which may be a mobile phone, a tablet computer, etc., and includes a memory and a processor, where the memory is used to store one or more computer instructions, and the one or more computer instructions, when executed by the processor, implement the weight measurement method described in the above embodiments.
Wherein the processor is configured to perform all or a portion of the steps of the method for measuring weight in the first embodiment or the second embodiment. The memory is used to store various types of data such as measurement data and the like.
The Processor may be an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a controller, a microcontroller, a microprocessor, or other electronic components, and is configured to perform the weight measuring method in the first embodiment.
The Memory may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk.
Example four
Each functional unit in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a portable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other media capable of storing a program check code.
In the embodiments provided in the present disclosure, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative and, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It should be noted that, in the present disclosure, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a component of' 8230; \8230;" does not exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.
Although the embodiments disclosed in the present disclosure are described above, the above description is only for the convenience of understanding the present disclosure, and is not intended to limit the present disclosure. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the disclosure as defined by the appended claims.
Claims (9)
1. A method for measuring weight, characterized in that,
collecting first measurement data uploaded by a device sensor;
judging whether the first measurement data contain abnormal data or not;
if the first measurement data contain abnormal data, deleting the abnormal data in the first measurement data;
analyzing the first measurement data to obtain second measurement data;
judging whether the second measurement data reach a preset measurement condition or not;
and if the second measurement data reach the preset measurement condition, acquiring the weight of the article through the second measurement data.
2. The method of claim 1, wherein the step of collecting the first measurement data uploaded by the device sensor comprises:
the device sensor uploads first measurement data to a message queue.
3. The method of claim 2, wherein the message queue is a RabbitMQ.
4. The method of claim 1, wherein the step of resolving the first measurement data to obtain the second measurement data is followed by:
judging whether the second measurement data reach a preset early warning condition or not;
and if the second measurement data reach a preset early warning condition, sending early warning information.
5. The method according to claim 1, wherein the step of obtaining the weight of the article from the second measurement data if the second measurement data meets a predetermined measurement condition comprises:
sending an instruction to the device sensor to stop measuring.
6. The method according to claim 1, wherein the step of obtaining the weight of the article from the second measurement data if the second measurement data meets a predetermined measurement condition comprises:
and uploading the second measurement data to a measurement system.
7. The method of claim 1, wherein the step of resolving the first measurement data to obtain second measurement data is followed by:
writing the second measurement data into a measurement data list;
and updating the second measurement data in the measurement data list by the first measurement data acquired again.
8. An electronic device comprising a memory and a processor, the memory to store one or more computer instructions, wherein the one or more computer instructions, when executed by the processor, implement the weight measurement method of any of claims 1-7.
9. A computer-readable storage medium in which a program is stored, characterized in that the program realizes the weight measurement method according to any one of claims 1 to 7 when executed by a computer.
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