CN117278952A - Internet of things management system, method and medium for wireless temperature and moisture monitor of sheet tobacco raw material - Google Patents
Internet of things management system, method and medium for wireless temperature and moisture monitor of sheet tobacco raw material Download PDFInfo
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- 241000208125 Nicotiana Species 0.000 title claims abstract description 133
- 235000002637 Nicotiana tabacum Nutrition 0.000 title claims abstract description 133
- 239000002994 raw material Substances 0.000 title claims abstract description 125
- 238000000034 method Methods 0.000 title claims abstract description 27
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 32
- 238000003860 storage Methods 0.000 claims abstract description 11
- 230000008030 elimination Effects 0.000 claims abstract description 4
- 238000003379 elimination reaction Methods 0.000 claims abstract description 4
- 238000001514 detection method Methods 0.000 claims description 56
- 238000007726 management method Methods 0.000 claims description 35
- 230000001360 synchronised effect Effects 0.000 claims description 13
- 238000012360 testing method Methods 0.000 claims description 11
- 238000004891 communication Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 6
- 238000007791 dehumidification Methods 0.000 claims description 6
- 230000004044 response Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 230000009347 mechanical transmission Effects 0.000 claims description 2
- 238000011835 investigation Methods 0.000 abstract description 3
- 238000005259 measurement Methods 0.000 description 9
- 239000000779 smoke Substances 0.000 description 7
- 238000010586 diagram Methods 0.000 description 5
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 235000019504 cigarettes Nutrition 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000000691 measurement method Methods 0.000 description 2
- 241000876443 Varanus salvator Species 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- 238000012544 monitoring process Methods 0.000 description 1
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
- G01S17/88—Lidar systems specially adapted for specific applications
- G01S17/93—Lidar systems specially adapted for specific applications for anti-collision purposes
- G01S17/931—Lidar systems specially adapted for specific applications for anti-collision purposes of land vehicles
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
Abstract
The invention discloses an Internet of things management system, method and medium for a wireless temperature and moisture monitor for sheet tobacco raw materials, comprising the following steps: calibrating a robot of a tobacco flake raw material temperature and moisture detector; the background system synchronously acquires the temperature and moisture information of the tobacco bale core acquired by each temperature and moisture detector; inputting the acquired information into a preset tobacco raw material temperature and water flow model, judging whether mildew risk exists or not through the preset tobacco raw material temperature and water flow model, and obtaining a judging result; if the mould risk exists as a result, early warning and alarming are generated, and preset early warning and alarming elimination measures are adopted. The method and the device realize pre-judging early warning and investigation on the tobacco raw material areas possibly with mildew risk in time, improve the accuracy and timeliness of the tobacco raw material early warning and improve the safety of tobacco raw material storage.
Description
Technical Field
The invention relates to the technical field of tobacco storage, in particular to an Internet of things management system, method and medium for a wireless temperature and moisture monitor for sheet tobacco raw materials.
Background
In a tobacco warehouse in the tobacco industry, a large amount of raw material tobacco sheets stored by cartons are stored. Due to the alcoholization requirements, these sheet tobacco raw materials need to be stored in a warehouse for many years. The storage time of the raw materials of the cigarettes is different and depends on the production requirements of the cigarettes. The moisture content of the sheet tobacco raw materials stored by the paper boxes is influenced by the ambient temperature and humidity. When the paper box is stored in an environment with higher temperature and humidity for a long time, the tobacco flakes in the paper box absorb water in the surrounding air. When the temperature is higher, the raw material of the tobacco flakes absorbing the moisture in the air is easy to mildew, and the loss of the raw material tobacco flakes is caused.
Some temperature monitors exist in the existing tobacco raw material storehouses, but no tobacco moisture monitors can be used in the tobacco raw material storehouses. The moisture change of the sheet tobacco raw materials of the whole warehouse cannot be controlled, and early warning can not be carried out when the sheet tobacco raw materials possibly have mildew risks.
Disclosure of Invention
The embodiment of the invention provides an Internet of things management system, an Internet of things management method and an Internet of things management medium for a wireless temperature and moisture monitor for sheet tobacco raw materials, so as to improve timeliness of monitoring of the state of the sheet tobacco raw materials and safety in a storage process.
In order to solve the technical problems, the embodiment of the application provides an internet of things management system for a wireless temperature and moisture monitor of a tobacco flake raw material, which comprises a plurality of wireless temperature and moisture monitors and a background host system, wherein the internet of things management system for the wireless temperature and moisture monitor of the tobacco flake raw material also comprises a plurality of wireless base stations, all wireless temperature and moisture monitors in each area correspond to one wireless base station, and the wireless temperature and moisture monitor is communicated with the background host system based on the wireless base stations;
the background host system comprises a monitor calibration module, a synchronous control module and a mildew pre-judging module, wherein the synchronous control module wakes up each wireless temperature and moisture monitor synchronously in a wireless communication mode to acquire temperature and moisture information of a measured tobacco bale core, the mildew pre-judging module judges whether mildew can occur or not according to the received acquired information, and the monitor calibration module is used for calibrating the wireless temperature and moisture monitors to ensure that the accuracy of each wireless temperature and moisture monitor meets the use index requirement of a tobacco sheet raw material warehouse.
Optionally, the internet of things management system for the tobacco flake raw material wireless temperature and moisture monitor further comprises exhaust dehumidification equipment, and the background host system further comprises an early warning module;
and the early warning module is used for controlling the air exhaust dehumidification equipment to carry out environment adjustment when the mildew pre-judging module judges that the mildew risk exists.
Optionally, the synchronization control module comprises a command issuing unit, an information receiving unit, a timing unit and a time synchronization unit;
the command issuing unit is used for issuing commands;
the information receiving unit is used for receiving the acquired information transmitted by the temperature and moisture detection equipment through wireless communication;
the timing unit is used for recording the time of the response time of the command issuing unit and the information receiving unit;
the time synchronization unit is used for performing time synchronization on the tobacco flake raw material temperature and moisture detection equipment according to the response time of the command issuing unit and the information receiving unit recorded by the timing unit.
Optionally, according to the collection information of each report of each temperature and moisture detection device, determining the minimum duration of each temperature and moisture detection device and dynamically distributing the time segment of the next report of each temperature and moisture detection device, so that all the temperature and moisture monitors report synchronously.
Optionally, the background host system further includes an equipment parameter calibration module, where the equipment parameter calibration module is configured to calibrate the collected information, and generate a parameter calibration list of the sheet tobacco raw material temperature and moisture detection device according to a calibration result, so that the sheet tobacco raw material temperature and moisture detection device performs parameter adjustment according to the parameter calibration list.
In order to solve the technical problem, the embodiment of the application also provides an internet of things management method for a wireless temperature and moisture monitor for a sheet tobacco raw material, which comprises the following steps:
synchronously and dynamically distributing a designated reporting time slice to each temperature and water monitor;
acquiring acquisition information reported by each temperature and moisture monitor in a designated time slice;
extracting temperature and moisture information of the tested tobacco bale core from the acquired information;
inputting the temperature and moisture information of the detected tobacco bale core into a preset tobacco raw material temperature and moisture flow model, and judging whether mildew risk exists or not through the preset tobacco raw material temperature and moisture flow model to obtain a judging result;
if the mould risk exists as a result of judgment, a preset early warning and elimination measure is adopted.
Optionally, before the acquiring the acquired information of each temperature and moisture detecting device, time synchronization is performed on each temperature and moisture detecting device;
for each temperature and moisture detection device, the time synchronization of the acquisition time of the temperature and moisture detection device comprises:
acquiring the starting time t1 of a sleep command issued to the temperature and moisture detection equipment, and acquiring the feedback time t2 issued to the temperature and moisture detection equipment;
recording the time t3 when the temperature and moisture detection equipment feedback acquisition information is actually received;
the time difference between the system and the background host computer is calculated by adopting the following formula:
Δt＝(t 2 -t 1 )-(t 3 -t 1 )＝t 2 -t 3
according to the calculation result of Deltat, determining the time of next report sent to the temperature and water detection equipment:
wherein t2' is the time of the next report of the temperature and water detection equipment.
Optionally, before the inputting the calibration data into a preset sheet tobacco raw material temperature and moisture flow model, the method further comprises:
acquiring position information of each temperature and moisture monitor device in a tobacco raw material warehouse;
receiving the acquisition information fed back by each temperature and moisture monitor device;
and constructing a sheet tobacco raw material moisture flow model of a warehouse of a sheet tobacco raw material warehouse by the position information of each temperature and moisture monitor device and the acquired information of each temperature and moisture monitor device to obtain the preset sheet tobacco raw material temperature and moisture flow model.
In order to solve the technical problem, the embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the steps of the internet of things management system for the tobacco flake raw material wireless temperature and moisture monitor when being executed by a processor.
The embodiment of the invention provides an Internet of things management system, an Internet of things management method and a medium for a wireless temperature and moisture monitor for a sheet tobacco raw material, wherein the wireless temperature and moisture monitor for the sheet tobacco raw material is calibrated; the background system dynamically distributes the wireless temperature and moisture monitor of each sheet tobacco raw material to synchronously collect and report the temperature and moisture information of the measured tobacco package core; acquiring acquisition information of each tobacco raw material wireless temperature and moisture monitor in a specified time period; extracting temperature and moisture data from the reported acquisition information; and inputting the taken-out temperature and moisture data into a preset tobacco raw material temperature and moisture flow model, judging whether mildew risk exists through the preset tobacco raw material temperature and moisture flow model, obtaining a judging result, and if the judging result shows that the mildew risk exists, adopting preset early warning and removing measures. The method and the device realize pre-judging early warning and investigation on the tobacco raw material areas possibly with mildew risk in time, improve the timeliness of the tobacco raw material early warning and are beneficial to improving the safety of tobacco raw material storage.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is an architecture diagram of an internet of things management system of a wireless temperature and moisture detector for tobacco raw materials of an embodiment of the internet of things management system for a tobacco raw material temperature and moisture monitor of the present application;
FIG. 2 is a flowchart of a background host system of the Internet of things management method for a tobacco flake raw material wireless temperature and moisture monitor for collecting tobacco flake raw material core-spun temperature and moisture data and processing the same;
FIG. 3 is a block diagram of the inspection robot;
FIG. 4 is a flow chart of a main program of the inspection robot;
FIG. 5 is a flow chart of the calibration of the wireless temperature and moisture monitor for the raw material of the sheet tobacco to be calibrated;
fig. 6 is a flow chart of calibration of a standard sheet smoke raw material wireless temperature and moisture monitor.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description and claims of the present application and in the description of the figures above are intended to cover non-exclusive inclusions. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 shows an internet of things management system for a wireless temperature and moisture monitor of a sheet tobacco raw material, provided by the embodiment of the invention, which comprises a plurality of temperature and moisture detection devices and a background host system, wherein the temperature and moisture detection devices are in a wireless communication mode, the internet of things management system for the wireless temperature and moisture monitor of the sheet tobacco raw material also comprises a plurality of wireless base stations, all the temperature and moisture detection devices in each area correspond to one wireless base station, and the temperature and moisture detection devices are communicated with the background host system based on the wireless base stations;
the background host system comprises a synchronous control module and a mildew pre-judging module, wherein the synchronous control module wakes up each temperature and moisture detection device synchronously to acquire temperature and moisture information in a wireless communication mode, and the mildew pre-judging module judges whether mildew is generated according to the received acquired information.
Optionally, the internet of things management system for the tobacco flake raw material wireless temperature and moisture monitor further comprises exhaust dehumidification equipment, and the background host system further comprises an early warning module;
the early warning module is used for controlling the air exhaust dehumidification equipment to carry out environment adjustment when the judging result of the mildew pre-judging module is that the mildew risk exists.
Optionally, the synchronous control module comprises a command issuing unit, an information receiving unit, a timing unit and a time calibration unit;
the command issuing unit is used for issuing commands;
the information receiving unit is used for receiving the acquired information transmitted by the temperature and moisture detection equipment through wireless communication;
the timing unit is used for recording the time of the response time of the command issuing unit and the information receiving unit;
the time calibration unit is used for carrying out time calibration on the tobacco flake raw material temperature and moisture detection equipment according to the response time of the command issuing unit and the information receiving unit recorded by the timing unit.
The time of the timers of each temperature and moisture detection device is not synchronous at present, and the time is fast or slow, so that the pulse frequencies of the timers of the temperature and moisture detection devices are mutually independent, and a background host system is uncontrollable. And the host system cannot uniformly coordinate and schedule each temperature and moisture detection device under the system management, completes the temperature and moisture data acquisition of the measured object in the shortest time (such as 25 seconds) in the allocated time slices, and reports the acquired data to the background management system. That is, the temperature and moisture detection device managed by the system cannot complete one report in the shortest time.
In this embodiment, to synchronize the temperature and moisture detecting device, both wake-up and sleep of the temperature and moisture detecting device are required to be "passive". That is, the temperature and moisture detection device is not self-waking and hibernating, and must be under control of the host system. And the temperature and water detection equipment receives a sleep command sent by the synchronous control module to the local machine and enters a sleep state by executing the sleep command.
On the premise that the host system can control the wireless detector to wake up and sleep, the temperature and moisture detection equipment is synchronized to the clock of the host system, namely, the clock of the host system is used as the reference.
For each temperature and moisture detection device, the host system can accurately calculate the clock of the temperature and moisture detection device according to the following three times, and compare the clock with the synchronous clock of the host system, so as to further carry out corresponding calibration measures.
Optionally, the synchronous control module determines the minimum duration of each temperature and moisture detection device and dynamically allocates the time segment reported by each temperature and moisture detection device according to the calibration result of each temperature and moisture detection device, so that all the temperature and moisture detection devices report synchronously.
Optionally, the background host system further comprises an equipment parameter calibration module, wherein the equipment parameter calibration module is used for calibrating the acquired information and generating a parameter calibration list of the tobacco raw material temperature and moisture detection equipment according to the calibration result, so that the tobacco raw material temperature and moisture detection equipment can carry out parameter adjustment according to the parameter calibration list.
Optionally, the background host system further includes a patrol robot, as shown in fig. 3, fig. 3 is a schematic diagram of the composition of the patrol robot, where the patrol robot includes a sheet tobacco raw material sampler, a calibrated sheet tobacco raw material wireless temperature and moisture monitor, a wake-up sheet tobacco raw material wireless temperature and moisture monitor module, a 3D laser radar, a processing system, a wireless module, a power supply system, a battery module, a mobile and mechanical transmission device, fig. 4 is a workflow diagram corresponding to the patrol robot, and fig. 5 is a calibration flow diagram of the patrol robot to the sheet tobacco raw material wireless temperature and moisture monitor.
Specifically, after a certain period of operation, the measurement results of a certain temperature and moisture detection device are routinely checked. The method can be used for detecting by using a closed-loop measuring method, namely, the sheet tobacco raw material sample is measured, and the moisture of the sheet tobacco raw material directly obtained by a baking method is compared with the moisture value measured by a wireless temperature and moisture detector. If the measurement result is compared with the measurement result using the baking method, the error is + -5% RH. The method can be used for carrying out the following operations on the tested temperature and moisture detection equipment in the background host system, issuing a model parameter modification command, issuing a baking method measurement result, a result of the temperature and moisture detection equipment and necessary parameters to the temperature and moisture detection equipment through a wireless base station, receiving the host system from the wireless module and issuing the host system to the host system, extracting the model modification command and the parameters, modifying the model, and ensuring that the moisture measurement error is not more than 5 per mill RH humidity.
Referring to fig. 2, fig. 2 shows an internet of things management method for a wireless temperature and moisture monitor for a sheet tobacco raw material according to an embodiment of the present invention, which is described in detail as follows:
s201: acquiring acquisition information of each temperature and moisture detection device.
Optionally, before step S201, that is, before acquiring the acquired information of each temperature and moisture detecting device, the time of each temperature and moisture detecting device is calibrated, and the calibration flow is shown in fig. 6.
Calibrating the acquisition time of the temperature and moisture detection equipment for each temperature and moisture detection equipment, comprising:
acquiring the starting time t1 of a sleep command issued to the temperature and moisture detection equipment, and acquiring the feedback time t2 issued to the temperature and moisture detection equipment;
recording the time t3 when the temperature and moisture detection equipment feedback acquisition information is actually received;
the time difference between the system and the background host computer is calculated by adopting the following formula:
Δt＝(t 2 -t 1 )-(t 3 -t 1 )＝t 2 -t 3
according to the calculation result of Deltat, determining the time of next report sent to the temperature and water detection equipment:
wherein t2' is the time of the next report of the temperature and moisture detection equipment.
Optionally, the embodiment further provides a method for detecting temperature and moisture of a raw material of the sheet tobacco, which includes:
generating an analog test signal;
based on the analog test signal, measuring the impedance of the tested sheet smoke raw material by adopting a radio frequency measurement mode to serve as test impedance;
determining the temperature and the water content of the measured sheet tobacco raw material based on the test impedance, a preset temperature model and a preset water content model, wherein the preset temperature model comprises the corresponding relation between the sheet tobacco raw materials with different impedances and the temperature, and the preset water content model comprises the corresponding relation between the sheet tobacco raw materials with different impedances and the water content.
In this embodiment, an analog test signal is generated, based on the analog test signal, the impedance of the tested sheet tobacco raw material is measured by adopting a radio frequency measurement mode, and the impedance is used as a test impedance, and the temperature and the moisture content of the tested sheet tobacco raw material are determined based on the test impedance, a preset temperature model and a preset moisture content model, wherein the preset temperature model comprises the corresponding relation between the sheet tobacco raw materials with different impedances and the temperature, and the preset moisture content model comprises the corresponding relation between the sheet tobacco raw materials with different impedances and the moisture content. By measuring the impedance of the raw material of the sheet tobacco to be measured and combining a preset temperature model and a preset water content model, the temperature and the water content of the raw material of the sheet tobacco are quickly obtained, and the efficiency and the accuracy of measuring the temperature and the water content of the raw material of the sheet tobacco are improved.
Further, before determining the temperature and the moisture content of the measured sheet tobacco raw material based on the test impedance, the preset temperature model and the preset moisture content model, the method further comprises:
dividing the range of the distribution of the working temperature range of the sheet tobacco raw material sample into m points, wherein each point corresponds to one temperature, and obtaining a temperature array T, T= [ T1, T2, T3, … …, tn ];
detecting corresponding analog quantities of the sheet smoke raw material sample at all temperature points of the array T by using NTC, and converting the analog quantities into digital quantities to obtain a resistance array R, R= [ R1, R2, R3, … …, rm ];
constructing a first two-dimensional coordinate system by taking R as an abscissa and T as an ordinate, and generating a point cloud curve of impedance and temperature on the first two-dimensional coordinate system according to the water content array and the impedance array Z to serve as a first point cloud curve;
fitting is performed based on the first point cloud curve, and a function t=f1 (R) is obtained and is taken as a preset temperature model.
Further, before determining the temperature and the moisture content of the measured sheet tobacco raw material based on the test impedance, the preset temperature model and the preset moisture content model, the method further comprises:
at a certain temperature T, selecting n points according to the range of water content distribution of the tobacco flake raw material sample, wherein each point corresponds to one water content to obtain a water content array A, A= [ a1, a2, a3, … …, an ];
respectively measuring the impedance corresponding to each water content to obtain an impedance array Z, Z= [ Z1, Z2, Z3, … …, zn ];
constructing a second two-dimensional coordinate system by taking Z as an abscissa and A as an ordinate, and generating a point cloud curve of impedance and moisture content on the second two-dimensional coordinate system according to the moisture content array and the impedance array Z to serve as a second point cloud curve;
fitting is carried out based on the second point cloud curve, and a function Z=f2 (A, T) is obtained and is used as a preset water content model.
The water content of the sheet tobacco raw material sample is directly obtained according to the baking method, the embodiment establishes a sheet tobacco raw material water content model corresponding to the indirect measurement method, and a corresponding relationship is established between the indirect measurement result and the sheet tobacco raw material water content directly obtained by the baking method. Through a large number of measurement and analysis, a sheet smoke raw material water content model corresponding to an indirect measurement method is established. By using the model, the water content of the measured sheet tobacco raw material can be calculated by measuring the impedance of the sheet tobacco raw material. By using the water content model, under the condition of ensuring that the impedance of the raw material of the sheet tobacco is accurate, the water content measured value of the raw material of the sheet tobacco is obtained, and the deviation can be controlled within +/-5 per mill by comparing the water content value obtained by a baking method.
In another embodiment of the present example, the real-time, dynamic temperature and moisture information of a box, or multiple boxes, of smoke raw material is obtained for which interest is desired. The configuration of the wireless channel is performed in the following manner:
and selecting a wireless channel. Because the temperature and moisture information of the smoke box to be measured needs to be obtained dynamically in real time. In order not to influence the normal data acquisition of other smoke boxes, a channel CH_A is selected from the LoRa wireless channels and is used as a real-time information transmission channel of the wireless temperature and moisture detector and a host system.
The working channel of the LoRa wireless module of one or more wireless temperature, moisture detectors W is configured as ch_a.
One radio base station B is added, or one LoRa radio module L1 is added to the existing radio base station C. The working channel of the LoRa wireless module is configured as ch_a.
In the host system, the communication base station of the wireless temperature/moisture detector W is selectively configured to: the wireless base station B module L1 or the wireless base station C module L1 realizes the selection and the configuration of wireless channels, and the partial areas can be monitored and checked dynamically in real time by the configuration mode.
S202: the background system synchronizes the clocks of the wireless temperature and moisture detectors of each tobacco flake raw material to be reported, and commands each detector to enter a dormant state after dynamically distributing the next reporting time slot of the detector.
S203: and inputting the calibration data into a preset tobacco raw material temperature and water flow model, and judging whether mildew risk exists or not through the preset tobacco raw material temperature and water flow model to obtain a judging result.
Optionally, before inputting the calibration data into the preset sheet tobacco raw material temperature and moisture flow model, the method further comprises:
acquiring position information of each temperature and moisture monitor device in a tobacco raw material warehouse;
receiving acquisition information fed back by each temperature and moisture monitor device;
and constructing a sheet tobacco raw material moisture flow model of a warehouse of a sheet tobacco raw material warehouse by the position information of each temperature and moisture monitor device and the acquisition information of each temperature and moisture monitor device to obtain a preset sheet tobacco raw material temperature and moisture flow model.
Specifically, assume that the ID of a temperature and moisture monitor device is XXXX1. The zone-row-frame number of the tobacco box of the tobacco sheet raw material is B-B-C, the temperature and moisture monitor equipment with the ID of XXXX1 is associated with the zone-row-frame number B-B-C in a background host system, and the corresponding association is carried out on each temperature and moisture monitor equipment to obtain a list of the position information of each temperature and moisture monitor equipment, and the position information of each temperature and moisture monitor equipment in the tobacco sheet raw material warehouse is obtained based on the list.
S204: if the mould risk exists as a result of judgment, a preset early warning and elimination measure is adopted.
In this embodiment, acquiring information of each temperature and moisture detection device, performing data calibration according to the acquired information to obtain calibration data, inputting the calibration data into a preset tobacco raw material temperature and moisture flow model, judging whether mildew risk exists through the preset tobacco raw material temperature and moisture flow model to obtain a judging result, and if the judging result is that mildew risk exists, adopting preset early warning and removing measures. The method and the device realize pre-judging early warning and investigation on the tobacco raw material areas possibly with mildew risk in time, improve the timeliness of the tobacco raw material early warning and are beneficial to improving the safety of tobacco raw material storage.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
The present application further provides another embodiment, namely, provides a computer readable storage medium, where an interface display program is stored, where the interface display program may be executed by at least one processor, so that the at least one processor performs the steps of the internet of things management system for a wireless temperature and moisture monitor of sheet tobacco raw materials.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), comprising several instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method described in the embodiments of the present application.
It is apparent that the embodiments described above are only some embodiments of the present application, but not all embodiments, the preferred embodiments of the present application are given in the drawings, but not limiting the patent scope of the present application. This application may be embodied in many different forms, but rather, embodiments are provided in order to provide a more thorough understanding of the present disclosure. Although the present application has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described in the foregoing, or equivalents may be substituted for elements thereof. All equivalent structures made by the specification and the drawings of the application are directly or indirectly applied to other related technical fields, and are also within the protection scope of the application.
Claims (10)
1. The Internet of things management system for the wireless temperature and moisture monitors of the tobacco raw materials comprises a plurality of temperature and moisture monitors and a background host system, and is characterized in that the temperature and moisture monitors adopt a wireless communication mode, the Internet of things management system for the wireless temperature and moisture monitors of the tobacco raw materials also comprises a plurality of wireless base stations, all the temperature and moisture monitors in each area correspond to one wireless base station, and the temperature and moisture monitors are communicated with the background host system based on the wireless base stations and a switch/router;
the background host system comprises a temperature and moisture wireless detector robot calibration module, a synchronous control module and a mildew pre-judging module, wherein the synchronous control module synchronously wakes each temperature and moisture monitor in a wireless communication mode to acquire information of temperature and moisture of a tobacco bale core, and the mildew pre-judging module judges whether mildew is generated according to the received acquired information; the temperature and moisture detector calibration module is used for calibrating the temperature and moisture detector and ensuring that the accuracy of the test result of the temperature and moisture detector managed by the background management system meets the use requirement.
2. The internet of things management system for a wireless temperature and moisture monitor for sheet tobacco raw materials according to claim 1, wherein the internet of things management system for the wireless temperature and moisture monitor for sheet tobacco raw materials further comprises an exhaust dehumidification device, and the background host system further comprises an early warning module;
and the early warning module is used for controlling the air exhaust dehumidification equipment to carry out environment adjustment when the mildew pre-judging module judges that the mildew risk exists.
3. The internet of things management system for a sheet tobacco raw material wireless temperature and moisture monitor according to claim 1, wherein the synchronous control module comprises a command issuing unit, an information receiving unit, a timing unit and a time calibration unit;
the command issuing unit is used for issuing commands;
the information receiving unit is used for receiving acquisition information transmitted by the temperature and moisture monitor through wireless communication;
the timing unit is used for recording the time of the response time of the command issuing unit and the information receiving unit;
the time calibration unit is used for performing time calibration on the tobacco flake raw material temperature and moisture monitor according to the time of the response time of the command issuing unit and the information receiving unit recorded by the timing unit.
4. The internet of things management system for a wireless temperature and moisture monitor of sheet tobacco raw materials according to claim 3, wherein the minimum duration of each temperature and moisture detection device and the time slices reported by each temperature and moisture detector are determined and dynamically distributed according to the acquisition information reported by each temperature and moisture monitor, so that all the temperature and moisture monitors report synchronously.
5. The internet of things management system for a sheet stock wireless temperature and moisture monitor of claim 1, wherein the background host system further comprises a patrol robot comprising a sheet stock sampler, a calibrated sheet stock wireless temperature and moisture monitor, a wake-up sheet stock wireless temperature and moisture detector module, a 3D lidar, a processing system, a wireless module, a power supply system and battery module, and a movement and mechanical transmission.
6. The Internet of things management method for the wireless temperature and moisture monitor of the sheet tobacco raw material is characterized by comprising the following steps of:
acquiring the temperature and moisture information of the tobacco bale core acquired by each temperature and moisture monitor;
inputting the acquired tobacco bale core temperature and moisture information into a preset sheet tobacco raw material temperature and moisture flow model, and judging whether mildew risk exists or not through the preset sheet tobacco raw material temperature and moisture flow model to obtain a judging result;
if the mould risk exists as a result of judgment, a preset early warning and elimination measure is adopted.
7. The internet of things management method for a wireless temperature and moisture monitor for sheet tobacco raw materials according to claim 6, further comprising synchronizing the time of each of the temperature and moisture detection devices before the acquisition of the acquired information of each of the temperature and moisture detection devices;
for each temperature moisture monitor, the synchronization of the acquisition time of the temperature moisture monitor includes:
acquiring the starting time t1 of a sleep command issued to the temperature and moisture monitor, and acquiring the feedback time t2 issued to the temperature and moisture detection equipment;
recording the time t3 when the temperature and moisture detection equipment feedback acquisition information is actually received;
the time difference between the system and the background host computer is calculated by adopting the following formula:
Δt＝(t 2 -t 1 )-(t 3 -t 1 )＝t 2 -t 3
according to the calculation result of Deltat, determining the time of next report sent to the temperature and water detection equipment:
wherein t2' is the time of the next report of the temperature and water detection equipment.
8. The internet of things management method for a sheet stock wireless temperature and moisture monitor of claim 6, wherein prior to said inputting said calibration data into a pre-set sheet stock temperature and moisture flow model, said method further comprises:
acquiring position information of each temperature and moisture monitor device in a tobacco raw material warehouse;
receiving the acquisition information fed back by each temperature and moisture monitor device;
and constructing a sheet tobacco raw material moisture flow model of a warehouse of a sheet tobacco raw material warehouse by the position information of each temperature and moisture monitor device and the acquired information of each temperature and moisture monitor device to obtain the preset sheet tobacco raw material temperature and moisture flow model.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the internet of things management method for a sheet tobacco raw material wireless temperature moisture monitor as claimed in any one of claims 6 to 8.
10. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the internet of things management method for a sheet tobacco raw material wireless temperature moisture monitor according to any one of claims 6 to 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211722816.6A CN117278952A (en) | 2022-12-30 | 2022-12-30 | Internet of things management system, method and medium for wireless temperature and moisture monitor of sheet tobacco raw material |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211722816.6A CN117278952A (en) | 2022-12-30 | 2022-12-30 | Internet of things management system, method and medium for wireless temperature and moisture monitor of sheet tobacco raw material |
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| CN117278952A true CN117278952A (en) | 2023-12-22 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202211722816.6A Pending CN117278952A (en) | 2022-12-30 | 2022-12-30 | Internet of things management system, method and medium for wireless temperature and moisture monitor of sheet tobacco raw material |
Country Status (1)
| Country | Link |
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| CN (1) | CN117278952A (en) |
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2022
- 2022-12-30 CN CN202211722816.6A patent/CN117278952A/en active Pending
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