CN116820057A - Hotpot condiment production monitoring method and system based on Internet of things - Google Patents
Hotpot condiment production monitoring method and system based on Internet of things Download PDFInfo
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- 238000004519 manufacturing process Methods 0.000 title claims abstract description 261
- 235000013409 condiments Nutrition 0.000 title claims abstract description 178
- 238000012544 monitoring process Methods 0.000 title claims abstract description 68
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000007906 compression Methods 0.000 claims abstract description 22
- 230000006835 compression Effects 0.000 claims abstract description 22
- 238000003672 processing method Methods 0.000 claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 16
- 230000005611 electricity Effects 0.000 claims description 144
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- 238000004364 calculation method Methods 0.000 claims description 10
- 239000011159 matrix material Substances 0.000 claims description 10
- 238000000227 grinding Methods 0.000 claims description 9
- 238000004806 packaging method and process Methods 0.000 claims description 9
- 239000002994 raw material Substances 0.000 claims description 9
- 238000001914 filtration Methods 0.000 claims description 8
- 238000002156 mixing Methods 0.000 claims description 8
- 238000009432 framing Methods 0.000 claims description 6
- 238000005259 measurement Methods 0.000 claims description 5
- 238000005520 cutting process Methods 0.000 claims description 3
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- 238000007405 data analysis Methods 0.000 abstract description 5
- 238000001514 detection method Methods 0.000 abstract description 5
- 238000012806 monitoring device Methods 0.000 abstract 1
- 238000013461 design Methods 0.000 description 32
- 235000011194 food seasoning agent Nutrition 0.000 description 9
- 238000004590 computer program Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 6
- 230000008447 perception Effects 0.000 description 5
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- 230000000694 effects Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
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- 229910052760 oxygen Inorganic materials 0.000 description 3
- 239000001301 oxygen Substances 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000007499 fusion processing Methods 0.000 description 2
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- 238000009835 boiling Methods 0.000 description 1
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
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Abstract
The invention discloses a hotpot condiment production monitoring method and system based on the Internet of things, comprising the following steps: acquiring first real-time data of the automatic production equipment and second real-time data of the hotpot condiment, which are acquired by the sensing node of the Internet of things, in the hotpot condiment production process; acquiring first real-time data and second real-time data, respectively carrying out compression processing on the first real-time data and the second real-time data by adopting a compressed sensing data processing method, and uploading the compressed data to an automatic monitoring device; and performing compressed sensing on the compressed data, monitoring the production compliance of automatic production equipment based on the first real-time data after the compressed sensing, and monitoring the production compliance of the hotpot condiment based on the second real-time data after the compressed sensing. The invention can avoid data loss, improve error detection performance, reduce data space occupation, utilize data analysis processing to carry out production monitoring, and improve production efficiency and hotpot condiment product quality.
Description
Technical Field
The invention relates to the technical field of hotpot condiment production monitoring, in particular to a hotpot condiment production monitoring method and system based on the Internet of things.
Background
The automatic production flow of the hotpot condiment generally comprises the following steps: 1. raw material conveying: the raw materials are automatically conveyed to a grinding or shredding machine by a conveyor belt or a pipeline. 2. Grinding or shredding: the feedstock is processed by an automated grinding or shredding machine. 3. Processing and mixing: mixing the ground or chopped raw materials by an automatic mixer, adding appropriate amount of water and flavoring, and automatically stirring and boiling. 4. Filtration and concentration: and processing the processed and mixed base materials through automatic filtering and concentrating equipment to remove impurities and improve the concentration. 5. Packaging and storing: packaging and storing the filtered and concentrated base material by an automatic packaging and storing device so as to be convenient for sale and use.
The existing hotpot condiment production monitoring method mainly comprises the methods of manual spot check, traditional instrument detection, on-line monitoring and the like. Although these methods can monitor the quality of hotpot condiment during production, there are some technical drawbacks including: manual spot inspection: the manual spot check needs to consume a large amount of manpower and time, and the spot check result is influenced by human factors and is easy to generate errors. Meanwhile, the manual spot check can only detect partial samples, and cannot comprehensively monitor the quality in the production process. Traditional instrument detects: conventional instrument testing requires sample preparation and testing operations, which require significant time and cost. Meanwhile, the detection precision and sensitivity of the traditional instrument are limited by the instrument, and the real-time monitoring requirement cannot be met. On-line monitoring: the on-line monitoring can realize real-time monitoring of the production process, but the on-line monitoring equipment has higher cost and needs professional technicians to maintain and operate. Meanwhile, the precision and stability of the on-line monitoring equipment are also problematic to some extent and are easily affected by environmental factors.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a hotpot condiment production monitoring method and system based on the Internet of things, which at least achieve the purposes of adopting the Internet of things equipment to monitor in real time and collect data, and utilizing data analysis processing to monitor production so as to improve the production efficiency and the hotpot condiment product quality.
The aim of the invention is realized by the following technical scheme:
in one aspect, a method for monitoring hotpot condiment production based on internet of things is provided, which comprises the following steps:
acquiring first real-time data of an automatic production device and second real-time data of the hotpot condiment, wherein the automatic production device at least comprises a raw material conveying device, a grinding or shredding device, an automatic mixing device, an automatic filtering and concentrating device and an automatic packaging and storing device, the first real-time data at least comprises the running state of the device, and the second real-time data at least comprises the concentration of the hotpot condiment;
acquiring first real-time data and second real-time data, and respectively carrying out compression processing on the first real-time data and the second real-time data by adopting a compressed sensing data processing method, wherein the compressed sensing data processing method comprises data coding framing, data compression and data fusion;
The method comprises the steps of performing compressed sensing on compressed data, monitoring production compliance of automatic production equipment based on first real-time data after the compressed sensing, and monitoring the production compliance of hotpot condiment based on second real-time data after the compressed sensing, wherein the production compliance of the automatic production equipment at least comprises running state compliance, and the production compliance of the hotpot condiment at least comprises condiment concentration compliance.
In one possible design, the sensing node of the internet of things comprises a sensor and an intelligent instrument, wherein the sensor and the intelligent instrument are installed on automatic production equipment and production lines of hotpot seasoning, real-time acquisition is performed on the running state, current, voltage, temperature, pressure and flow parameters of the automatic production equipment, and real-time acquisition is performed on the temperature, concentration and pH value parameters of the hotpot seasoning.
In one possible design, the compressing the first real-time data using a compressed sensing data processing method includes:
forming an initial data set based on the encoded plurality of first real-time dataForming fusion space data corresponding to the initial data set based on a preset compression rule>And calculates an incremental data set ++based on the data correspondence between the fused spatial data and the initial data set >。
In one possible design, compressed data is compression-aware, including:
fused spatial data for n dimensionsBy using the coefficient characteristic of the first real-time data, the +.>Projecting from a high-dimensional data space to a low-dimensional data space and retaining a data structure of the first real-time data, wherein the data dimension reduction formula is as follows:
；
wherein ,representing fusion spatial data +.>The measurement result after the compression and dimension reduction represents a sensing matrix;
and adopting a data conversion model to perform compressed sensing on the compressed data, wherein the data conversion model is as follows:
；
wherein ,representing a sparse dictionary matrix, < >>Representing fusion spatial data +.>Is provided).
In one possible design, production compliance for an automated production facility based on compressed perceived first real-time data
Monitoring, including:
acquiring daily electricity of automatic hotpot condiment production equipment in shutdown period according to running state data in first real-time data
The daily electricity quantity and daily load of automatic production equipment of the hotpot condiment are obtained during normal production;
and calculating the current electricity consumption coefficient and the current electricity consumption load coefficient of the automatic hotpot condiment production equipment according to the daily electricity consumption and the daily load, and judging the compliance of the running state of the automatic hotpot condiment production equipment according to the electricity consumption coefficient and the electricity consumption load coefficient.
In one possible design, the method for calculating the current electricity consumption coefficient and electricity consumption load coefficient of the automatic hotpot condiment production equipment according to the daily electricity consumption and daily load, and judging the compliance of the running state of the automatic hotpot condiment production equipment according to the electricity consumption coefficient and the electricity consumption load coefficient comprises the following steps:
calculating a daily electricity consumption threshold according to the average electricity consumption of the automatic hotpot condiment production equipment in the normal production period, and calculating an electricity consumption coefficient according to the daily electricity consumption threshold and the daily electricity consumption of the automatic hotpot condiment production equipment in the shutdown period, wherein the calculation formula is as follows:
；
；
wherein ,representing a daily electricity quantity threshold value>Constant representing a value in the range (0, 1,) for ∈>Represents average electricity consumption,/">Representing daily electricity quantity of automatic production equipment of hotpot condiment during shutdown period, < >>Representing the electricity consumption coefficient;
calculating a daily electricity load threshold according to the average electricity load of the automatic hotpot condiment production equipment in the normal production period, and calculating an electricity load coefficient according to the daily electricity load threshold and the daily electricity load of the automatic hotpot condiment production equipment in the shutdown period, wherein the calculation formula is as follows:
；
；
wherein ,indicating a daily electrical load threshold, < >>Constant representing a value in the range (0, 1,) for ∈ >Indicating maximum daily load, < >>Indicating the maximum electricity load of the automatic production equipment of the hotpot condiment during normal production, and +.>Is the electric load coefficient;
and when the electricity consumption coefficient and the electricity consumption load coefficient are both larger than one, the running state of the automatic production equipment of the hotpot condiment is compliant.
In one possible design, monitoring production compliance of the hotpot condiment based on the compressed perceived second real-time data includes:
according to the hotpot condiment concentration data in the second real-time data, calculating the hotpot condiment concentration as compared with the hotpot condiment concentration
The deviation of the values is calculated as follows:
；
；
wherein ,indicating the current +.>Production link->The concentration of the bottom material of the pot is compared with the normal value of the concentration of the bottom material of the pot in the time period
Is used for the deviation value of (a),representation->First->Time point(s)>Indicate->Production procedure->Hotpot condiment concentration at each time point, +.>Indicate->Production procedure->Historical average concentration of hotpot condiment at each time point, < + >>The number of production links of the hotpot condiment is indicated.
On the other hand provides a hotpot condiment production monitoring system based on thing networking, includes:
the system comprises a data acquisition module, a control module and a control module, wherein the data acquisition module is used for acquiring first real-time data of automatic production equipment and second real-time data of hotpot condiment, which are acquired by an Internet of things sensing node in the hotpot condiment production process, wherein the automatic production equipment at least comprises raw material conveying equipment, grinding or cutting equipment, automatic mixing equipment, automatic filtering and concentrating equipment and automatic packaging and storing equipment, the first real-time data at least comprises the running state of the equipment, and the second real-time data at least comprises the concentration of the hotpot condiment;
The data compression module is used for acquiring first real-time data and second real-time data, and respectively carrying out compression processing on the first real-time data and the second real-time data by adopting a compressed sensing data processing method, wherein the compressed sensing data processing method comprises data coding framing, data compression and data fusion;
the production monitoring module is used for carrying out compressed sensing on compressed data, monitoring the production compliance of automatic production equipment based on first real-time data after compressed sensing, and monitoring the production compliance of hotpot condiment based on second real-time data after compressed sensing, wherein the production compliance of the automatic production equipment at least comprises running state compliance, and the production compliance of hotpot condiment at least comprises condiment concentration compliance.
In one possible design, the sensing node of the internet of things comprises a sensor and an intelligent instrument, wherein the sensor and the intelligent instrument are installed on automatic production equipment and production lines of hotpot seasoning, real-time acquisition is performed on the running state, current, voltage, temperature, pressure and flow parameters of the automatic production equipment, and real-time acquisition is performed on the temperature, concentration and pH value parameters of the hotpot seasoning.
In one possible design, when the first real-time data is compressed by using the compressed sensing data processing method, the data compression module is specifically configured to:
forming an initial data set based on the encoded plurality of first real-time dataForming fusion space data corresponding to the initial data set based on a preset compression rule>And calculates an incremental data set ++based on the data correspondence between the fused spatial data and the initial data set>。
In one possible design, the production monitoring module is specifically configured to, when compressed data is compressed for perception:
fused spatial data for n dimensionsBy using the coefficient characteristic of the first real-time data, the +.>Projecting from a high-dimensional data space to a low-dimensional data space and retaining a data structure of the first real-time data, wherein the data dimension reduction formula is as follows:
；
wherein ,representing fusion spatial data +.>Measurement after compression dimension reduction, +.>Representing a perception matrix;
and adopting a data conversion model to perform compressed sensing on the compressed data, wherein the data conversion model is as follows:
；
wherein ,representing a sparse dictionary matrix, < >>Representing fusion spatial data +.>Is provided).
In one possible design, the production compliance of the automated production facility is based on the compressed perceived first real-time data
When the property is monitored, the production monitoring module is specifically used for:
acquiring daily electricity of automatic hotpot condiment production equipment in shutdown period according to running state data in first real-time data
The daily electricity quantity and daily load of automatic production equipment of the hotpot condiment are obtained during normal production;
and calculating the current electricity consumption coefficient and the current electricity consumption load coefficient of the automatic hotpot condiment production equipment according to the daily electricity consumption and the daily load, and judging the compliance of the running state of the automatic hotpot condiment production equipment according to the electricity consumption coefficient and the electricity consumption load coefficient.
In one possible design, when calculating the current electricity consumption coefficient and electricity consumption load coefficient of the automatic hotpot condiment production equipment according to the daily electricity consumption and daily load, and judging the compliance of the running state of the automatic hotpot condiment production equipment according to the electricity consumption coefficient and the electricity consumption load coefficient, the production monitoring module is specifically used for:
calculating a daily electricity consumption threshold according to the average electricity consumption of the automatic hotpot condiment production equipment in the normal production period, and calculating an electricity consumption coefficient according to the daily electricity consumption threshold and the daily electricity consumption of the automatic hotpot condiment production equipment in the shutdown period, wherein the calculation formula is as follows:
；
；
wherein ,representing a daily electricity quantity threshold value>Constant representing a value in the range (0, 1,) for ∈>Represents average electricity consumption,/">Representing daily electricity quantity of automatic production equipment of hotpot condiment during shutdown period, < >>Representing the electricity consumption coefficient;
calculating a daily electricity load threshold according to the average electricity load of the automatic hotpot condiment production equipment in the normal production period, and calculating an electricity load coefficient according to the daily electricity load threshold and the daily electricity load of the automatic hotpot condiment production equipment in the shutdown period, wherein the calculation formula is as follows:
；
；
wherein ,indicating a daily electrical load threshold, < >>Constant representing a value in the range (0, 1,) for ∈>Indicating maximum daily load, < >>Indicating the maximum electricity load of the automatic production equipment of the hotpot condiment during normal production, and +.>Is the electric load coefficient;
and when the electricity consumption coefficient and the electricity consumption load coefficient are both larger than one, the running state of the automatic production equipment of the hotpot condiment is compliant.
In one possible design, the production monitoring module is specifically configured to, when monitoring production compliance of the hotpot condiment based on the compressed perceived second real-time data:
according to the hotpot condiment concentration data in the second real-time data, calculating the hotpot condiment concentration as compared with the hotpot condiment concentration
The deviation of the values is calculated as follows:
；
；
wherein ,indicating the current +.>Production link->The concentration of the bottom material of the pot is compared with the normal value of the concentration of the bottom material of the pot in the time period
Is used for the deviation value of (a),representation->First->Time point(s)>Indicate->Production procedure->Hotpot condiment concentration at each time point, +.>Indicate->Production procedure->Historical average concentration of hotpot condiment at each time point, < + >>The number of production links of the hotpot condiment is indicated.
In a third aspect, the present invention provides a computer device, comprising a memory, a processor and a transceiver, which are in communication connection in turn, wherein the memory is used for storing a computer program, the transceiver is used for receiving and transmitting messages, and the processor is used for reading the computer program and executing the hotpot condiment production monitoring method based on the internet of things as described in any one of the possible designs of the first aspect.
In a fourth aspect, the present invention provides a computer readable storage medium having instructions stored thereon which, when executed on a computer, perform the method of hotpot condiment production monitoring based on internet of things as described in any one of the possible designs of the first aspect.
In a fifth aspect, the present invention provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the internet of things based hotpot condiment production monitoring method as in any one of the possible designs of the first aspect.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, the first real-time data and the second real-time data of the automatic production equipment and the second real-time data of the hotpot condiment are acquired through acquiring the first real-time data and the second real-time data of the internet of things sensing node in the hotpot condiment production process, and the first real-time data and the second real-time data are respectively compressed by adopting a compressed sensing data processing method, so that data loss is avoided, the error detection performance is improved, and the occupied data space is reduced; the compressed data are subjected to compressed sensing, the production compliance of automatic production equipment is monitored based on the first real-time data after the compressed sensing, and the production compliance of the hotpot condiment is monitored based on the second real-time data after the compressed sensing, so that the production monitoring is performed by utilizing data analysis processing, and the production efficiency and the product quality of the hotpot condiment are improved.
Drawings
Fig. 1 is a flowchart of a hotpot condiment production monitoring method based on the internet of things in an embodiment of the application.
Detailed Description
The technical solution of the present application will be described in further detail with reference to the accompanying drawings, but the scope of the present application is not limited to the following description.
For the purpose of making the technical solution and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the particular embodiments described herein are illustrative only and are not intended to limit the application, i.e., the embodiments described are merely some, but not all, of the embodiments of the application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Moreover, 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 phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The features and capabilities of the present application are described in further detail below in connection with the examples.
The hotpot condiment production monitoring method based on the Internet of things provided by the embodiment of the application is described in detail below.
It should be noted that, the hotpot condiment production monitoring method based on the internet of things provided by the embodiment of the application can be applied to terminal equipment which randomly uses an operating system, wherein the operating system comprises, but is not limited to, a Windows system, a Mac system, a Linux system, a Chrome OS system, a UNIX operating system, an IOS system, an android system and the like, and is not limited herein; the terminal device includes, but is not limited to, an IPAD tablet computer, a personal mobile computer, an industrial computer, a personal computer, etc., which are not limited herein. For convenience of description, embodiments of the present application will be described with reference to an industrial computer as a main body of execution unless specifically described otherwise. It will be appreciated that the execution subject is not limited to the embodiments of the present application, and in other embodiments, other types of terminal devices may be used as the execution subject.
As shown in fig. 1, an aspect of the embodiment of the present application provides a hotpot condiment production monitoring method based on the internet of things, including but not limited to, implementation by steps S1-S3:
s1, acquiring first real-time data of an automatic production device and second real-time data of hotpot condiment, wherein the automatic production device at least comprises a raw material conveying device, a grinding or shredding device, an automatic mixing device, an automatic filtering and concentrating device and an automatic packaging and storing device, the first real-time data at least comprises the running state of the device, and the second real-time data at least comprises the concentration of the hotpot condiment;
the sensing node of the Internet of things comprises a sensor and an intelligent instrument, wherein the sensor and the intelligent instrument are arranged on automatic production equipment and a production line of hotpot seasoning, and are used for collecting running state, current, voltage, temperature, pressure and flow parameters of the automatic production equipment in real time and collecting temperature, concentration and pH value parameters of the hotpot seasoning in real time. The sensor and the intelligent instrument are data acquisition equipment commonly used in the internet of things equipment, and can be used for acquiring various data in the production process of the hotpot condiment.
Specifically, the sensors include, but are not limited to, 1. Temperature sensors: the system is used for collecting temperature data of automatic production equipment and the base material so as to ensure that the temperature of the equipment and the base material is controlled within a proper range. 2. A pressure sensor: for collecting pressure data of automated production equipment and primer to ensure that the pressure of the equipment and primer is controlled within a suitable range. 3. Flow sensor: the system is used for collecting flow data of automatic production equipment and the primer so as to ensure that the flow control of the equipment and the primer is in a proper range. 4. PH sensor: the method is used for collecting the PH value data of the base material so as to ensure that the PH value of the base material is controlled within a proper range. 5. An oxygen sensor: for collecting data of the oxygen content in the base material to ensure that the oxygen content of the base material is controlled within a proper range. 6. Intelligent instrument: the method is used for collecting current, voltage, power and other data of automatic production equipment so as to ensure the normal operation and production efficiency of the equipment. Through adopting sensor and intelligent instrument to carry out data acquisition and control, can realize the real-time supervision and the control to automated production equipment and bed charge data in the hot pot seasoning production process, improve production efficiency and product quality.
S2, acquiring first real-time data and second real-time data, and respectively carrying out compression processing on the first real-time data and the second real-time data by adopting a compressed sensing data processing method, wherein the compressed sensing data processing method comprises data coding framing, data compression and data fusion;
it should be noted that, because the internet of things equipment arranged on the hotpot condiment automatic production equipment and the production line is in continuous data acquisition, the obtained data volume is larger, when data transmission is performed in the internet of things network, namely when the data acquired by the internet of things equipment is uploaded to the data analysis processing monitoring center, in order to improve the data transmission efficiency and reduce the data occupation space, in one possible design of step S2, a compressed sensing data processing method is adopted to perform compression processing on the first real-time data, and the method comprises the following steps:
forming an initial data set based on the encoded plurality of first real-time dataForming fusion space data corresponding to the initial data set based on a preset compression rule>And calculates an incremental data set ++based on the data correspondence between the fused spatial data and the initial data set>。
Preferably, as an optional implementation manner, the encoding manner of the first real-time data in the embodiment of the present application may be: each group of data frames consists of 7 fields: frame header: 1 character, representing the beginning of a data frame; frame length: 0X 00-0 XFF, a character representing the length of a data frame except for a frame header, a validation code and a frame tail; frame number: 0X 00-0 XFF, one character, representing different kinds of data; text: the length of the transmitted effective data can be changed, and the effective data comprises different data types; frame coding: data frames 0-255 are coded circularly; verification code: two characters, all characters before the verification code are CRC verified; end of frame: and a character indicating the end of the data frame.
After coding the frame, fusion processing is performed on the data in order to reduce space occupation. Assuming that the initial data set d= { D1, D2, …, D n }, the fused data space c= { C1, C2, …, C n }, the fused compression operation is to perform conversion processing on the initial data and the compressed data according to a certain rule under the compression rule. The delta fusion method mainly fuses data through deviation existing between the data, and if initial data P= { P1, P2, …, P n }, delta fusion compression is expressed as delta= { delta 1, delta 2, … and delta n }, wherein delta i is the increment of P i corresponding to certain data. The embodiment of the application can directly fuse the initial data of the sensor, so that the data after the fusion processing can recover the initial data without deviation in an inverse operation mode. Incremental data fusion is mainly divided into absolute increment and relative increment. In the absolute increment, Δi represents an increment of p i for fixed data D0, Δi= p i-D0, Δ' = { p 1-D0, p 2-D0, … p i-D0 }, and by determining the optimal fixed data D0, the size of the data field in the fusion space C is ensured to be smaller than that of the initial data D, thereby achieving the purpose of space reduction.
And S3, performing compressed sensing on the compressed data, monitoring the production compliance of automatic production equipment based on the first real-time data after the compressed sensing, and monitoring the production compliance of the hotpot condiment based on the second real-time data after the compressed sensing, wherein the production compliance of the automatic production equipment at least comprises an operation state compliance, and the production compliance of the hotpot condiment at least comprises a condiment concentration compliance.
In one possible design, compressed data is compression-aware, including:
fused spatial data for n dimensionsBy using the coefficient characteristic of the first real-time data, the +.>Projecting from a high-dimensional data space to a low-dimensional data space and retaining a data structure of the first real-time data, wherein the data dimension reduction formula is as follows:
；
wherein ,representing fusion spatial data +.>Measurement after compression dimension reduction, +.>Representing a perception matrix;
and adopting a data conversion model to perform compressed sensing on the compressed data, wherein the data conversion model is as follows:
；
wherein ,representing a sparse dictionary matrix, < >>Representing fusion spatial data +.>Is provided).
In one possible design of step S3, production of automated production equipment based on compressed perceived first real-time data
Compliance monitoring, including:
acquiring daily electricity of automatic hotpot condiment production equipment in shutdown period according to running state data in first real-time data
The daily electricity quantity and daily load of automatic production equipment of the hotpot condiment are obtained during normal production;
and calculating the current electricity consumption coefficient and the current electricity consumption load coefficient of the automatic hotpot condiment production equipment according to the daily electricity consumption and the daily load, and judging the compliance of the running state of the automatic hotpot condiment production equipment according to the electricity consumption coefficient and the electricity consumption load coefficient.
In one possible design, the method for calculating the current electricity consumption coefficient and electricity consumption load coefficient of the automatic hotpot condiment production equipment according to the daily electricity consumption and daily load, and judging the compliance of the running state of the automatic hotpot condiment production equipment according to the electricity consumption coefficient and the electricity consumption load coefficient comprises the following steps:
calculating a daily electricity consumption threshold according to the average electricity consumption of the automatic hotpot condiment production equipment in the normal production period, and calculating an electricity consumption coefficient according to the daily electricity consumption threshold and the daily electricity consumption of the automatic hotpot condiment production equipment in the shutdown period, wherein the calculation formula is as follows:
；
；
wherein ,representing a daily electricity quantity threshold value>Constant representing a value in the range (0, 1,) for ∈>Represents average electricity consumption,/">Representing daily electricity quantity of automatic production equipment of hotpot condiment during shutdown period, < >>Representing the electricity consumption coefficient;
calculating a daily electricity load threshold according to the average electricity load of the automatic hotpot condiment production equipment in the normal production period, and calculating an electricity load coefficient according to the daily electricity load threshold and the daily electricity load of the automatic hotpot condiment production equipment in the shutdown period, wherein the calculation formula is as follows:
；
；
wherein ,indicating a daily electrical load threshold, < >>Constant representing a value in the range (0, 1,) for ∈ >Indicating maximum daily load, < >>Indicating the maximum electricity load of the automatic production equipment of the hotpot condiment during normal production, and +.>Is the electric load coefficient;
and when the electricity consumption coefficient and the electricity consumption load coefficient are both larger than one, the running state of the automatic production equipment of the hotpot condiment is compliant.
In one possible design, monitoring production compliance of the hotpot condiment based on the compressed perceived second real-time data includes:
according to the hotpot condiment concentration data in the second real-time data, calculating the hotpot condiment concentration as compared with the hotpot condiment concentration
The deviation of the values is calculated as follows:
；
；
wherein ,indicating the current +.>Production link->The concentration of the bottom material of the pot is compared with the normal value of the concentration of the bottom material of the pot in the time period
Is used for the deviation value of (a),representation->First->Time point(s)>Indicate->Production procedure->Hotpot condiment concentration at each time point, +.>Indicate->Production procedure->Historical average concentration of hotpot condiment at each time point, < + >>The number of production links of the hotpot condiment is indicated.
Based on the above disclosure, in the embodiment of the present application, by acquiring the first real-time data of the automated production equipment and the second real-time data of the hotpot condiment acquired by the sensing node of the internet of things in the hotpot condiment production process, the first real-time data and the second real-time data are acquired, and the first real-time data and the second real-time data are respectively compressed by adopting a compressed sensing data processing method, thereby avoiding data loss, improving error detection performance, and reducing data space occupation; the compressed data are subjected to compressed sensing, the production compliance of automatic production equipment is monitored based on the first real-time data after the compressed sensing, and the production compliance of the hotpot condiment is monitored based on the second real-time data after the compressed sensing, so that the production monitoring is performed by utilizing data analysis processing, and the production efficiency and the product quality of the hotpot condiment are improved.
On the other hand provides a hotpot condiment production monitoring system based on thing networking, includes:
the system comprises a data acquisition module, a control module and a control module, wherein the data acquisition module is used for acquiring first real-time data of automatic production equipment and second real-time data of hotpot condiment, which are acquired by an Internet of things sensing node in the hotpot condiment production process, wherein the automatic production equipment at least comprises raw material conveying equipment, grinding or cutting equipment, automatic mixing equipment, automatic filtering and concentrating equipment and automatic packaging and storing equipment, the first real-time data at least comprises the running state of the equipment, and the second real-time data at least comprises the concentration of the hotpot condiment;
the data compression module is used for acquiring first real-time data and second real-time data, and respectively carrying out compression processing on the first real-time data and the second real-time data by adopting a compressed sensing data processing method, wherein the compressed sensing data processing method comprises data coding framing, data compression and data fusion;
the production monitoring module is used for carrying out compressed sensing on compressed data, monitoring the production compliance of automatic production equipment based on first real-time data after compressed sensing, and monitoring the production compliance of hotpot condiment based on second real-time data after compressed sensing, wherein the production compliance of the automatic production equipment at least comprises running state compliance, and the production compliance of hotpot condiment at least comprises condiment concentration compliance.
In one possible design, the sensing node of the internet of things comprises a sensor and an intelligent instrument, wherein the sensor and the intelligent instrument are installed on automatic production equipment and production lines of hotpot seasoning, real-time acquisition is performed on the running state, current, voltage, temperature, pressure and flow parameters of the automatic production equipment, and real-time acquisition is performed on the temperature, concentration and pH value parameters of the hotpot seasoning.
In one possible design, when the first real-time data is compressed by using the compressed sensing data processing method, the data compression module is specifically configured to:
forming an initial data set based on the encoded plurality of first real-time dataForming fusion space data corresponding to the initial data set based on a preset compression rule>And calculates an incremental data set ++based on the data correspondence between the fused spatial data and the initial data set>。
In one possible design, the production monitoring module is specifically configured to, when compressed data is compressed for perception:
fused spatial data for n dimensionsBy using the coefficient characteristic of the first real-time data, the +.>Projecting from a high-dimensional data space to a low-dimensional data space and retaining a data structure of the first real-time data, wherein the data dimension reduction formula is as follows: / >
；
wherein ,representing fusion spatial data +.>Measurement after compression dimension reduction, +.>Representing a perception matrix;
and adopting a data conversion model to perform compressed sensing on the compressed data, wherein the data conversion model is as follows:
；
wherein ,representing a sparse dictionary matrix, < >>Representing fusion spatial data +.>Is provided).
In one possible design, the production compliance of the automated production facility is based on the compressed perceived first real-time data
When the property is monitored, the production monitoring module is specifically used for:
acquiring daily electricity of automatic hotpot condiment production equipment in shutdown period according to running state data in first real-time data
The daily electricity quantity and daily load of automatic production equipment of the hotpot condiment are obtained during normal production;
and calculating the current electricity consumption coefficient and the current electricity consumption load coefficient of the automatic hotpot condiment production equipment according to the daily electricity consumption and the daily load, and judging the compliance of the running state of the automatic hotpot condiment production equipment according to the electricity consumption coefficient and the electricity consumption load coefficient.
In one possible design, when calculating the current electricity consumption coefficient and electricity consumption load coefficient of the automatic hotpot condiment production equipment according to the daily electricity consumption and daily load, and judging the compliance of the running state of the automatic hotpot condiment production equipment according to the electricity consumption coefficient and the electricity consumption load coefficient, the production monitoring module is specifically used for:
Calculating a daily electricity consumption threshold according to the average electricity consumption of the automatic hotpot condiment production equipment in the normal production period, and calculating an electricity consumption coefficient according to the daily electricity consumption threshold and the daily electricity consumption of the automatic hotpot condiment production equipment in the shutdown period, wherein the calculation formula is as follows:
；
；
wherein ,representing a daily electricity quantity threshold value>Constant representing a value in the range (0, 1,) for ∈>Represents average electricity consumption,/">Representing daily electricity quantity of automatic production equipment of hotpot condiment during shutdown period, < >>Representing the electricity consumption coefficient;
calculating a daily electricity load threshold according to the average electricity load of the automatic hotpot condiment production equipment in the normal production period, and calculating an electricity load coefficient according to the daily electricity load threshold and the daily electricity load of the automatic hotpot condiment production equipment in the shutdown period, wherein the calculation formula is as follows:
；
；
wherein ,indicating a daily electrical load threshold, < >>Constant representing a value in the range (0, 1,) for ∈>Indicating maximum daily load, < >>Indicating the maximum electricity load of the automatic production equipment of the hotpot condiment during normal production, and +.>Is the electric load coefficient; />
And when the electricity consumption coefficient and the electricity consumption load coefficient are both larger than one, the running state of the automatic production equipment of the hotpot condiment is compliant.
In one possible design, the production monitoring module is specifically configured to, when monitoring production compliance of the hotpot condiment based on the compressed perceived second real-time data:
according to the hotpot condiment concentration data in the second real-time data, calculating the hotpot condiment concentration as compared with the hotpot condiment concentration
The deviation of the values is calculated as follows:
；
；
wherein ,indicating the current +.>Production link->The concentration of the bottom material of the pot is compared with the normal value of the concentration of the bottom material of the pot in the time period
Is used for the deviation value of (a),representation->First->Time point(s)>Indicate->Production procedure->Hotpot condiment concentration at each time point, +.>Indicate->Production procedure->Historical average concentration of hotpot condiment at each time point, < + >>The number of production links of the hotpot condiment is indicated.
In a third aspect, the invention provides a computer device comprising a memory, a processor and a transceiver in communication with each other in sequence, wherein the memory is adapted to store a computer program and the transceiver is adapted to receive and send messages, and the processor is adapted to read the computer program and to perform a method as described in any one of the possible designs of the first aspect.
By way of specific example, the Memory may include, but is not limited to, random-Access Memory (RAM), read-Only Memory (ROM), flash Memory (Flash Memory), first-in first-out Memory (First Input First Output, FIFO), and/or first-in last-out Memory (First Input Last Output, FILO), etc.; the processor may not be limited to use with a microprocessor of the STM32F105 family; the transceiver may be, but is not limited to, a WiFi (wireless fidelity) wireless transceiver, a bluetooth wireless transceiver, a GPRS (General Packet Radio Service, general packet radio service technology) wireless transceiver, and/or a ZigBee (ZigBee protocol, low power local area network protocol based on the ieee 802.15.4 standard), etc. In addition, the computer device may include, but is not limited to, a power module, a display screen, and other necessary components.
The working process, working details and technical effects of the foregoing computer device provided in the third aspect of the present embodiment may be referred to the above first aspect or any one of the possible designs of the first aspect, which are not described herein.
In a fourth aspect, the invention provides a computer readable storage medium having instructions stored thereon which, when run on a computer, perform a method as described in any one of the possible designs of the first aspect.
The computer readable storage medium refers to a carrier for storing data, and may include, but is not limited to, a floppy disk, an optical disk, a hard disk, a flash Memory, and/or a Memory Stick (Memory Stick), etc., where the computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable devices.
The working process, working details and technical effects of the foregoing computer readable storage medium provided in the fourth aspect of the present embodiment may refer to the method as described in the foregoing first aspect or any one of the possible designs of the first aspect, which are not repeated herein.
In a fifth aspect, the invention provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method as described in any one of the possible designs of the first aspect.
The working process, working details and technical effects of the foregoing computer program product containing instructions provided in the fifth aspect of the present embodiment may be referred to as the method described in the foregoing first aspect or any one of the possible designs of the first aspect, which are not repeated herein.
The foregoing is merely a preferred embodiment of the invention, and it is to be understood that the invention is not limited to the form disclosed herein but is not to be construed as excluding other embodiments, but is capable of numerous other combinations, modifications and environments and is capable of modifications within the scope of the inventive concept, either as taught or as a matter of routine skill or knowledge in the relevant art. And that modifications and variations which do not depart from the spirit and scope of the invention are intended to be within the scope of the appended claims.
Claims (8)
1. The hotpot condiment production monitoring method based on the Internet of things is characterized by comprising the following steps of:
acquiring first real-time data of an automatic production device and second real-time data of the hotpot condiment, wherein the automatic production device at least comprises a raw material conveying device, a grinding or shredding device, an automatic mixing device, an automatic filtering and concentrating device and an automatic packaging and storing device, the first real-time data at least comprises the running state of the device, and the second real-time data at least comprises the concentration of the hotpot condiment;
Acquiring first real-time data and second real-time data, and respectively carrying out compression processing on the first real-time data and the second real-time data by adopting a compressed sensing data processing method, wherein the compressed sensing data processing method comprises data coding framing, data compression and data fusion;
the method comprises the steps of performing compressed sensing on compressed data, monitoring production compliance of automatic production equipment based on first real-time data after the compressed sensing, and monitoring the production compliance of hotpot condiment based on second real-time data after the compressed sensing, wherein the production compliance of the automatic production equipment at least comprises running state compliance, and the production compliance of the hotpot condiment at least comprises condiment concentration compliance.
2. The hotpot condiment production monitoring method based on the internet of things according to claim 1, wherein the sensing node of the internet of things comprises a sensor and an intelligent instrument, the sensor and the intelligent instrument are arranged on automatic production equipment and production lines of hotpot condiment, the running state, current, voltage, temperature, pressure and flow parameters of the automatic production equipment are collected in real time, and the temperature, concentration and pH value parameters of the hotpot condiment are collected in real time.
3. The method for monitoring hotpot condiment production based on the internet of things according to claim 1, wherein the method for compressing the first real-time data by adopting the compressed sensing data processing method comprises the following steps:
based on braidingThe plurality of first real-time data after the codes form an initial data setForming fusion space data corresponding to the initial data set based on a preset compression rule>And calculates an incremental data set ++based on the data correspondence between the fused spatial data and the initial data set>。
4. The internet of things-based hotpot condiment production monitoring method of claim 3, wherein compressed data is compressed and perceived, and the method comprises the following steps:
fused spatial data for n dimensionsBy using the coefficient characteristic of the first real-time data, the +.>Projecting from a high-dimensional data space to a low-dimensional data space and retaining a data structure of the first real-time data, wherein the data dimension reduction formula is as follows:
；
wherein ,representing fusion spatial data +.>A represents a sensing matrix according to a measurement result after compression and dimension reduction;
and adopting a data conversion model to perform compressed sensing on the compressed data, wherein the data conversion model is as follows:
；
wherein ,Representing a sparse dictionary matrix, < >>Representing fusion spatial data +.>Is provided).
5. The hotpot condiment production monitoring method based on the internet of things according to claim 1, wherein the hotpot condiment production monitoring method is based on compression
The perceived first real-time data monitors production compliance of the automated production facility, comprising:
acquiring daily electricity of automatic hotpot condiment production equipment in shutdown period according to running state data in first real-time data
The daily electricity quantity and daily load of automatic production equipment of the hotpot condiment are obtained during normal production;
and calculating the current electricity consumption coefficient and the current electricity consumption load coefficient of the automatic hotpot condiment production equipment according to the daily electricity consumption and the daily load, and judging the compliance of the running state of the automatic hotpot condiment production equipment according to the electricity consumption coefficient and the electricity consumption load coefficient.
6. The internet of things-based hotpot condiment production monitoring method of claim 5, wherein calculating a current electricity consumption coefficient and an electricity consumption load coefficient of the hotpot condiment automatic production equipment according to the daily electricity consumption and the daily load, and judging compliance of the running state of the hotpot condiment automatic production equipment according to the electricity consumption coefficient and the electricity consumption load coefficient comprises:
Calculating a daily electricity consumption threshold according to the average electricity consumption of the automatic hotpot condiment production equipment in the normal production period, and calculating an electricity consumption coefficient according to the daily electricity consumption threshold and the daily electricity consumption of the automatic hotpot condiment production equipment in the shutdown period, wherein the calculation formula is as follows:
；
；
wherein ,representing a daily electricity quantity threshold value>Constant representing a value in the range (0, 1,) for ∈>The average power consumption is indicated as such,representing daily electricity quantity of automatic production equipment of hotpot condiment during shutdown period, < >>Representing the electricity consumption coefficient;
calculating a daily electricity load threshold according to the average electricity load of the automatic hotpot condiment production equipment in the normal production period, and calculating an electricity load coefficient according to the daily electricity load threshold and the daily electricity load of the automatic hotpot condiment production equipment in the shutdown period, wherein the calculation formula is as follows:
；
；
wherein ,indicating a daily electrical load threshold, < >>Constant representing a value in the range (0, 1,) for ∈>Indicating maximum daily load, < >>Indicating the maximum electricity load of the automatic production equipment of the hotpot condiment during normal production, and +.>Is the electric load coefficient;
and when the electricity consumption coefficient and the electricity consumption load coefficient are both larger than one, the running state of the automatic production equipment of the hotpot condiment is compliant.
7. The internet of things-based hotpot condiment production monitoring method of claim 1, wherein monitoring production compliance of hotpot condiment based on compressed perceived second real-time data comprises:
according to the hotpot condiment concentration data in the second real-time data, calculating the hotpot condiment concentration as compared with the hotpot condiment concentration
The deviation of the values is calculated as follows:
；
；
wherein ,indicating the current +.>Production link->The concentration of the bottom material of the pot is compared with the normal value of the concentration of the bottom material of the pot in the time period
Is used for the deviation value of (a),representation->First->Time point(s)>Indicate->Production procedure->Hotpot condiment concentration at each time point, +.>Indicate->Production procedure->Historical average concentration of hotpot condiment at each time point, < + >>The number of production links of the hotpot condiment is indicated.
8. Hotpot condiment production monitoring system based on thing networking, its characterized in that includes:
the system comprises a data acquisition module, a control module and a control module, wherein the data acquisition module is used for acquiring first real-time data of automatic production equipment and second real-time data of hotpot condiment, which are acquired by an Internet of things sensing node in the hotpot condiment production process, wherein the automatic production equipment at least comprises raw material conveying equipment, grinding or cutting equipment, automatic mixing equipment, automatic filtering and concentrating equipment and automatic packaging and storing equipment, the first real-time data at least comprises the running state of the equipment, and the second real-time data at least comprises the concentration of the hotpot condiment;
The data compression module is used for acquiring first real-time data and second real-time data, and respectively carrying out compression processing on the first real-time data and the second real-time data by adopting a compressed sensing data processing method, wherein the compressed sensing data processing method comprises data coding framing, data compression and data fusion;
the production monitoring module is used for carrying out compressed sensing on compressed data, monitoring the production compliance of automatic production equipment based on first real-time data after compressed sensing, and monitoring the production compliance of hotpot condiment based on second real-time data after compressed sensing, wherein the production compliance of the automatic production equipment at least comprises running state compliance, and the production compliance of hotpot condiment at least comprises condiment concentration compliance.
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