CN117235421B - High temperature alarm system based on RFID - Google Patents

High temperature alarm system based on RFID Download PDF

Info

Publication number
CN117235421B
CN117235421B CN202311164786.6A CN202311164786A CN117235421B CN 117235421 B CN117235421 B CN 117235421B CN 202311164786 A CN202311164786 A CN 202311164786A CN 117235421 B CN117235421 B CN 117235421B
Authority
CN
China
Prior art keywords
temperature
rfid
distance
data
average
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202311164786.6A
Other languages
Chinese (zh)
Other versions
CN117235421A (en
Inventor
王昆仑
谷涛
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui Muda Technology Co ltd
Original Assignee
Anhui Muda Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Anhui Muda Technology Co ltd filed Critical Anhui Muda Technology Co ltd
Priority to CN202311164786.6A priority Critical patent/CN117235421B/en
Publication of CN117235421A publication Critical patent/CN117235421A/en
Application granted granted Critical
Publication of CN117235421B publication Critical patent/CN117235421B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING 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
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K1/00Details of thermometers not specially adapted for particular types of thermometer
    • G01K1/02Means for indicating or recording specially adapted for thermometers
    • G01K1/024Means for indicating or recording specially adapted for thermometers for remote indication
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01KMEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K13/00Thermometers specially adapted for specific purposes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/15Correlation function computation including computation of convolution operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • H04W4/025Services making use of location information using location based information parameters
    • H04W4/027Services making use of location information using location based information parameters using movement velocity, acceleration information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/38Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Computational Mathematics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computing Systems (AREA)
  • Emergency Management (AREA)
  • Business, Economics & Management (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Operations Research (AREA)
  • Probability & Statistics with Applications (AREA)
  • Arrangements For Transmission Of Measured Signals (AREA)

Abstract

The invention relates to the technical field of high-temperature alarm, in particular to an RFID-based high-temperature alarm system, which comprises a detection module, a preprocessing module, a temperature calibration module, a data processing module, a data analysis module and an execution module. According to the invention, the temperature data monitored by each temperature monitoring point and the distance data measured by the distance measuring points form a temperature array, the temperature change condition is analyzed according to the temperature array, the average temperature increase rate of the refrigerated goods is generated, the logarithmic function model of the predicted temperature of the refrigerated goods is calculated by combining the current average temperature of the refrigerated goods and the residual time of the vehicle reaching the destination, the logarithmic function model of the predicted temperature is utilized to fit the functional relation between the temperature and the distance, the temperature of the refrigerated goods can be corrected, the influence of the distance between the refrigerated goods and the carriage wall on the temperature of the refrigerated goods in the carriage can be effectively reduced, and the effect on the temperature monitoring of the refrigerated goods in the carriage is more accurate.

Description

High temperature alarm system based on RFID
Technical Field
The invention relates to the technical field of high-temperature alarm, in particular to a high-temperature alarm system based on RFID.
Background
The high-temperature alarm system based on RFID (radio frequency identification) is mainly applied to the field in which high-temperature environments need to be monitored and alarmed, for example, RFID can be applied to the fruit cold chain transportation industry, and the RFID temperature sensing tag can be implanted into fruit packages to monitor and record the temperature of goods in real time, temperature data can be collected through an RFID reader-writer and compared with a preset temperature threshold value, so that temperature monitoring and control are realized, and the high-temperature alarm device can send out an alarm when the temperature is abnormal so as to ensure that the goods are transported at a proper temperature.
The utility model discloses a portable equipment for commodity circulation transportation temperature monitoring that is disclosed as CN208421656U, through installing in the electric junction thermometer of fridge body inner wall and measure the control to the inside temperature variation of fridge, if the temperature is less than the default, buzzer sends the warning and reminds the staff to look over terminal cell-phone temperature monitoring information in time, and then electric junction thermometer conveys the measured value to the GPRS transmitter, on the data receiving module of terminal is passed through to the GPRS transmitter with data transmission, on data receiving module will be data transmission to data processor, on data processor's processing will be data through wireless signal transceiver transmission to remote control terminal (cell-phone), look over the temperature in the fridge, if the temperature in the fridge is too high, personnel can utilize wireless signal transceiver to send control signal to PLC control module through the cell-phone, utilize PLC control module to control semiconductor refrigeration module to in time cool down the processing to the fridge, thereby guarantee the transportation freshness of food, because the distance between the fridge article placed in the carriage is different, the temperature heating rate of the fridge article near carriage wall is different, the article near the temperature of the carriage wall is compared with the article that the fridge is had, if the temperature is big temperature is compared to the article that is compared to the fridge temperature is had, if the temperature is very big, the temperature is compared with the fridge temperature is monitored to the article that is far away, if the fridge temperature is monitored, and is big.
Therefore, the above device has the main technical problems that the influence of the distance between the refrigerated goods and the carriage wall is not considered, and when the temperature is monitored, the monitoring result is greatly influenced by the distance, so that the monitoring error is large, and the error cannot be corrected.
Disclosure of Invention
In view of the above, the present invention aims to provide a high temperature alarm system based on RFID to solve the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an RFID-based high temperature alarm system, comprising:
The detection module comprises an RFID temperature sensor, an RFID distance sensor, an RFID speed sensor, an RFID chip, an antenna and an RFID reader, wherein the RFID temperature sensor is used for measuring the temperature and converting the temperature into an electric signal, the RFID chip is used for receiving and processing the electric signal provided by the RFID temperature sensor and transmitting temperature data to the RFID reader through the antenna, the RFID distance sensor is used for measuring the distance between each distance measuring point and the carriage wall and converting the distance into an electric signal, the RFID chip is used for receiving and processing the electric signal provided by the RFID distance sensor and transmitting the distance data to the RFID reader through the antenna, the RFID speed sensor is used for measuring the real-time speed of the vehicle at equal intervals within a certain time period and converting the real-time speed into the electric signal, and the RFID chip is used for receiving and processing the electric signal provided by the RFID speed sensor and transmitting the speed data to the RFID reader through the antenna.
The set temperature monitoring point isGroups, each group numbered/>、……/>、/>The data monitored by the temperature monitoring points are respectively/>、……、/>、/>The distance between the first group of temperature monitoring points and the carriage wall is J, the distance between each two adjacent temperature monitoring points is M, the set distance measuring points are R groups, and the serial number of each group is/>、……、/>The speed monitoring point is/>Groups, each group numbered/>、……/>、/>
The preprocessing module is used for receiving the measurement data sent by the detection module, and forming a temperature array from the temperature data acquired by the temperature monitoring point and the distance data measured by the distance measuring pointGenerating the average speed/>, of vehicle running, from the real-time speed of the vehicle measured by the speed measuring pointAnd average speed of vehicle travel/>Sending to a data processing module; and array/>Sending to a temperature calibration module;
a temperature calibration module for calibrating the temperature array Generating an average temperature increase rate/>And will average the rate of temperature increase/>Sending to a data analysis module;
The data processing module is used for calculating and processing the acquired temperature to generate the average temperature of the refrigerating article at present And will average temperature/>Is transmitted to a data analysis module for average speed/>, of vehicle travelPerforming calculation processing, generating the residual time K for the vehicle to reach the destination, and transmitting the residual time K to a data analysis module;
a data analysis module for increasing the average temperature of the vehicle Average temperature of refrigerated goods/>And the residual time K of the vehicle reaching the destination is subjected to correlation analysis to generate a predicted temperature/>And will predict temperature/>Comparing the temperature threshold YZ with a temperature threshold YZ to generate different alarm signal grades;
and the execution module is used for selecting different execution strategies according to different alarm signal levels.
Further, the preprocessing module forms a temperature array according to the temperature data monitored by the temperature monitoring point and the distance data measured by the distance measuring point, and the temperature array is used for processing the temperature dataSent to the temperature calibration module, the temperature array/>The method comprises the following steps:
Further, when the temperature monitoring points collect temperatures, the temperature monitoring points set corresponding weighting coefficients according to the distance between the refrigerated goods and the carriage wall, continuously collect N groups of temperature data, wherein the distances between the N groups of temperature monitoring points are equal, the distances between the N groups of temperature monitoring points and the carriage wall are sequentially increased, and then the average temperature of the refrigerated goods is calculated at the moment The calculation formula of (2) is as follows:
wherein, And the weighting coefficients of the temperature measurement points of the temperature monitoring points are respectively.
Further, the temperature calibration module generates an average temperature increase rate of the refrigerated productThe formula according to is:
*100%
wherein, For the average temperature increase rate of refrigerated goods in a carriage, the change rate of the average temperature of the refrigerated goods in a given time is expressed as/>For the average temperature value of the refrigerated goods collected for the N time,/>For the average temperature value of the refrigerated goods collected for the 1st time, N is a positive integer greater than 1.
Further, the preprocessing module calculates the average speed of vehicle running according to the real-time speed V of the vehicle measured by the speed measuring pointCalculating the average speed/>, of vehicle travelThe formula according to is:
wherein, 、/>、/>、/>The speed data collected by the speed monitoring points at different time points are respectively obtained, and the interval time periods of the adjacent speed data collection are the same.
Further, the data processing module is used for controlling the average speed of the current vehicleGenerating the remaining time K of the vehicle reaching the destination according to the following formula:
wherein, For the initial distance of the vehicle from the destination,/>For the distance that the vehicle has travelled,/>It can be known from GPS devices or using GPS enabled handsets and applications,/>Can be known from the odometer of the vehicle itself.
Further, the data analysis module analyzes the average temperature of the present refrigerated goods by comparing the average temperature of the present refrigerated goodsAnd average temperature increase rate/>And the remaining time K of the vehicle reaching the destination is subjected to dimensionless processing, and each parameter is associated to generate a predicted temperature/>Logarithmic function model and will predict temperature/>Comparing the temperature threshold YZ with the temperature threshold YZ to generate different alarm signal grades, wherein the logarithmic function model is based on the formula:
I.e.
Wherein the method comprises the steps ofFor the average temperature of refrigerated goods in the carriage at present,/>For the rate of temperature increase,/>Is a temperature predicted value.
Further, the execution module selects different execution strategies according to different alarm signal levels, specifically:
when YC is more than or equal to 0 and is less than or equal to 0.5YZ, a high-temperature alarm signal is not sent out;
When 0.5YZ YC/>0.7YZ, sending out a primary high-temperature alarm signal;
When YZ is less than or equal to YC of 0.7 YZ, sending out a secondary high temperature alarm signal;
And when YC is more than or equal to YZ, sending out a third-stage high-temperature alarm signal.
The invention has the beneficial effects that:
According to the invention, a plurality of groups of temperature monitoring units are arranged at equal intervals on a straight line, temperatures at different positions on the straight line are monitored, temperature data monitored by each temperature monitoring point and distance data measured by each distance measuring point form a temperature array, temperature change conditions are analyzed according to the temperature array, an average temperature increase rate of the refrigerated goods is generated, a logarithmic function model of the predicted temperature of the refrigerated goods is calculated by combining the current average temperature of the refrigerated goods and the residual time of a vehicle reaching a destination, the logarithmic function model of the predicted temperature can be used for fitting out a functional relation between the temperature and the distance, the temperature of the refrigerated goods can be corrected, the influence of the distance between the refrigerated goods and a carriage wall on the temperature of the refrigerated goods in the carriage can be effectively reduced, and the effect on the temperature monitoring of the refrigerated goods in the carriage is more accurate.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only of the invention and that other drawings can be obtained from them without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the operation of a modular unit according to the present invention.
Detailed Description
The present invention will be further described in detail with reference to specific embodiments in order to make the objects, technical solutions and advantages of the present invention more apparent.
It is to be noted that unless otherwise defined, technical or scientific terms used herein should be taken in a general sense as understood by one of ordinary skill in the art to which the present invention belongs. The terms "first," "second," and the like, as used herein, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", etc. are used merely to indicate relative positional relationships, which may also be changed when the absolute position of the object to be described is changed.
Example 1
Referring to fig. 1, the present invention provides a technical solution:
an RFID-based high temperature alarm system, comprising:
The detection module comprises an RFID temperature sensor, an RFID distance sensor, an RFID speed sensor, an RFID chip, an antenna and an RFID reader, wherein the RFID temperature sensor is used for measuring the temperature and converting the temperature into an electric signal, the RFID chip is used for receiving and processing the electric signal provided by the RFID temperature sensor and transmitting temperature data to the RFID reader through the antenna, the RFID distance sensor is used for measuring the distance between each distance measuring point and the carriage wall and converting the distance into an electric signal, the RFID chip is used for receiving and processing the electric signal provided by the RFID distance sensor and transmitting the distance data to the RFID reader through the antenna, the RFID speed sensor is used for measuring the real-time speed of the vehicle at equal intervals within a certain time period and converting the real-time speed into the electric signal, and the RFID chip is used for receiving and processing the electric signal provided by the RFID speed sensor and transmitting the speed data to the RFID reader through the antenna.
The RFID chip is ROCKY in the type selection, the RFID chip mainly receives antenna signals, information collected by the RFID temperature sensor, the RFID distance sensor and the RFID speed sensor is coded and sent back to the RFID reader, the antenna mainly couples and radiates electromagnetic energy to ensure that the RFID chip works normally, in the communication between the RFID reader and the RFID temperature sensor, the RFID distance sensor and the RFID speed sensor, the antenna plays the roles of energy transmission and data transmission, the RFID reader receives signals through the antenna by sending related instructions to the RFID temperature sensor, the RFID distance sensor and the RFID speed sensor, the RFID reader carries out related processing and data returning according to the corresponding instructions, and finally the RFID reader receives the data of the RFID temperature sensor, the RFID distance sensor and the RFID speed sensor.
The set temperature monitoring point isGroups, each group numbered/>、……/>、/>The data monitored by the temperature monitoring points are respectively/>、……、/>、/>The distance between the first group of temperature monitoring points and the carriage wall is J, the distance between each two adjacent temperature monitoring points is M, the set distance measuring points are R groups, and the serial number of each group is/>、……、/>The speed monitoring point is/>Groups, each group numbered/>、……/>、/>
The preprocessing module is used for receiving the measurement data sent by the detection module, and forming a temperature array from the temperature data acquired by the temperature monitoring points and the distance data measured by the distance measuring pointsGenerating an average speed/>, of vehicle travel, from the real-time vehicle speed V measured by the speed measurement pointAnd average speed of vehicle travel/>Sending to a data processing module; and array/>Sending to a temperature calibration module;
a temperature calibration module for calibrating the temperature array Generating an average temperature increase rate/>And will average the rate of temperature increase/>Sending to a data analysis module;
The data processing module is used for calculating and processing the acquired temperature to generate the average temperature of the refrigerating article at present And will average temperature/>Is transmitted to a data analysis module for average speed/>, of vehicle travelPerforming calculation processing, generating the residual time K for the vehicle to reach the destination, and transmitting the residual time K to a data analysis module;
a data analysis module for increasing the average temperature of the vehicle Average temperature of refrigerated goods/>And the residual time K of the vehicle reaching the destination is subjected to correlation analysis to generate a predicted temperature/>And will predict temperature/>Comparing the temperature threshold YZ with a temperature threshold YZ to generate different alarm signal grades;
and the execution module is used for selecting different execution strategies according to different alarm signal levels.
In this embodiment, the preprocessing module forms a temperature array according to the data measured by the temperature monitoring point and the distance measuring point, and sends the temperature array to the temperature calibration module, where the temperature arrayThe method comprises the following steps:
In the present embodiment, the temperature array The temperature monitored by each temperature monitoring point and the distance measured by the distance measuring point are in a one-to-one mapping relation.
When the temperature monitoring points collect temperature, the temperature monitoring points set corresponding weighting coefficients according to the distance between the refrigerated goods and the carriage wall, continuously collect N groups of temperature data, wherein the distance between the N groups of temperature monitoring points is equal, the distance between the N groups of temperature monitoring points and the carriage wall is gradually increased, and the average temperature of the refrigerated goods is finally obtainedThe calculation formula of (2) is as follows:
wherein, And the weighting coefficients are respectively the temperature measurement points of the temperature monitoring points.
The temperature calibration module is used for calibrating the temperature array according to the temperatureGenerating average temperature increase rate of refrigerated goods/>And will average the rate of temperature increase/>And sending the data to a data analysis module.
In the present embodiment, the average temperature increase rate of the refrigerated goodsThe formula according to is:
*100%
wherein, For the average temperature increase rate of refrigerated goods, the rate of change of the temperature of the refrigerated goods over a given time is expressed as/>For the average temperature value of the refrigerated goods collected for the N time,/>For the average temperature value of the refrigerated goods collected for the 1st time, N is a positive integer greater than 1,
When (when)Is positive, and the rate of temperature increase/>The greater the value of (2), the faster the temperature rises and rises; when the temperature increase rate/>Is negative, and the rate of temperature increase/>The greater the value of (c), the more rapidly the temperature drops.
And determining temperature data acquired by the temperature monitoring points by calculating an average value of the temperature of refrigerated goods in the carriage within a period of time, wherein the temperature calibration module ensures the accuracy of the data when performing data calibration.
The speed measuring point collects the average speed of the vehicleWhen the speed data of the H groups are acquired according to the same time interval, the average speed/>, of the running of the vehicleThe calculation formula of (2) is as follows:
wherein, 、/>、/>、/>The speed data acquired by the speed measuring points at different time points are respectively the same in interval time period of adjacent speed data acquisition, and the vehicle speeds/>, at different time pointsKnown from a self-contained speedometer on the vehicle.
The data processing module is used for controlling the average speed of the current vehicleGenerating the remaining time K of the vehicle reaching the destination according to the following formula:
wherein, For the initial distance of the vehicle from the destination,/>For the distance that the vehicle has travelled,/>It can be known from GPS devices or using GPS enabled handsets and applications,/>Can be known from the odometer of the vehicle itself,/>Is the average speed of the vehicle over a period of time.
The data analysis module is used for analyzing the average temperature of the refrigerated goods according to the temperatureAnd average temperature increase rate/>And a remaining time K for the vehicle to reach the destination, generating a predicted temperature/>And will predict the temperature/>Comparing the temperature threshold YZ with the temperature threshold YZ to generate different alarm signal grades, wherein the logarithmic function model is based on the formula:
I.e.
Wherein the method comprises the steps ofFor the average temperature of refrigerated goods in the carriage at present,/>For the rate of temperature increase,/>Is a temperature predicted value.
The execution module selects different execution strategies according to different alarm signal grades, and specifically comprises the following steps:
when YC is more than or equal to 0 and less than or equal to 0.5YZ, a high-temperature alarm signal is not sent out, and a set plan does not need to be adjusted;
When 0.5YZ YC/>0.7YZ, sending out a first-stage high-temperature alarm signal, and properly improving the running speed of the vehicle to enable the vehicle to arrive at the destination in advance;
When YZ is less than or equal to YC of 0.7 YZ, sending out a secondary high temperature alarm signal; it is necessary to reduce the on-way residence time or adjust the route to reach the destination faster;
When YC is more than or equal to YZ, a three-stage high-temperature alarm signal is sent, and then the setting of the refrigeration equipment needs to be adjusted, the supply of the refrigerant is increased, and the ventilation quantity is increased.
It should be noted that, the temperature in the carriage corresponding to the third-stage high-temperature alarm signal is greater than the temperature in the carriage corresponding to the second-stage high-temperature alarm signal, and the temperature in the carriage corresponding to the second-stage high-temperature alarm signal is greater than the temperature in the carriage corresponding to the first-stage high-temperature alarm signal.
Although embodiments of the present application have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the application, the scope of which is defined in the appended claims and their equivalents. The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product comprises one or more computer instructions or computer programs. When the computer instructions or computer program are loaded or executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more sets of available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. The semiconductor medium may be a solid state disk.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided by the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is merely a channel underwater topography change analysis system and method logic function division, and other divisions may be implemented in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention, but to enable any modification, equivalent or improvement to be made without departing from the spirit and principles of the invention.

Claims (6)

1. An RFID-based high temperature alarm system, comprising:
The detection module comprises an RFID temperature sensor, an RFID distance sensor, an RFID speed sensor, an RFID chip, an antenna and an RFID reader, wherein the RFID temperature sensor is used for measuring the temperature and converting the temperature into an electric signal, the RFID chip is used for receiving and processing the electric signal provided by the RFID temperature sensor and transmitting temperature data to the RFID reader through the antenna, the RFID distance sensor is used for measuring the distance between each distance measuring point and the carriage wall and converting the distance into an electric signal, the RFID chip is used for receiving and processing the electric signal provided by the RFID distance sensor and transmitting the distance data to the RFID reader through the antenna, the RFID speed sensor is used for measuring the real-time speed of the vehicle at equal intervals within a certain time period and converting the real-time speed into the electric signal, and the RFID chip is used for receiving and processing the electric signal provided by the RFID speed sensor and transmitting the speed data to the RFID reader through the antenna.
The set temperature monitoring point isGroups, each group numbered/>、……/>、/>The data monitored by the temperature monitoring points are respectively/>、……、/>、/>The distance between the first group of temperature monitoring points and the carriage wall is J, the distance between each two adjacent temperature monitoring points is M, the set distance measuring points are R groups, and the serial number of each group is/>、……/>、/>The set speed monitoring point is/>Groups, each group numbered/>、……/>、/>
The preprocessing module is used for receiving the measurement data sent by the detection module, and forming a temperature array from the temperature data acquired by the temperature monitoring point and the distance data measured by the distance measuring pointGenerating the average speed/>, of vehicle running, from the real-time speed of the vehicle measured by the speed measuring pointAnd average speed of vehicle travel/>Sending to a data processing module; and array/>Sending to a temperature calibration module;
a temperature calibration module for calibrating the temperature array Generating an average temperature increase rate/>And will average the rate of temperature increase/>Sending to a data analysis module;
The data processing module is used for calculating and processing the acquired temperature to generate the average temperature of the refrigerating article at present And will average temperature/>Is transmitted to a data analysis module for average speed/>, of vehicle travelPerforming calculation processing, generating the residual time K for the vehicle to reach the destination, and transmitting the residual time K to a data analysis module;
a data analysis module for increasing the average temperature of the vehicle Average temperature of refrigerated goods/>And the residual time K of the vehicle reaching the destination is subjected to correlation analysis to generate a predicted temperature/>And will predict temperature/>Comparing the temperature threshold YZ with a temperature threshold YZ to generate different alarm signal grades;
The execution module is used for selecting different execution strategies according to different alarm signal levels;
the temperature calibration module generates an average temperature increase rate of the refrigerated goods The formula according to is:
*100%
wherein, For the average temperature increase rate of refrigerated goods in a carriage, the change rate of the average temperature of the refrigerated goods in a given time is expressed as/>For the average temperature value of the refrigerated goods collected for the N time,/>The average temperature value of the refrigerated goods collected for the 1st time is N which is a positive integer more than 1;
the data analysis module analyzes the average temperature of the present refrigerated goods And average temperature increase rate/>And the remaining time K of the vehicle reaching the destination is subjected to dimensionless processing, and each parameter is associated to generate a predicted temperature/>Logarithmic function model and will predict temperature/>Comparing the temperature threshold YZ with the temperature threshold YZ to generate different alarm signal grades, wherein the logarithmic function model is based on the formula:
I.e.
Wherein the method comprises the steps ofFor the average temperature of refrigerated goods in the carriage at present,/>For the rate of temperature increase,/>Is a temperature predicted value.
2. The RFID-based high temperature alarm system of claim 1, wherein the preprocessing module forms a temperature array according to the temperature data monitored by the temperature monitoring point and the distance data measured by the distance measuring point, and forms the temperature arraySent to the temperature calibration module, the temperature array/>The method comprises the following steps:
3. the high-temperature alarm system based on RFID as claimed in claim 2, wherein when the temperature monitoring points collect temperatures, the temperature monitoring points set corresponding weighting coefficients according to the distance between the refrigerated goods and the carriage wall, continuously collect N groups of temperature data, wherein the N groups of temperature monitoring points are equal in distance interval and sequentially increase in distance from the carriage wall, and then the average temperature of the refrigerated goods is the same at the moment The calculation formula of (2) is as follows:
wherein, And the weighting coefficients of the temperature measurement points of the temperature monitoring points are respectively.
4. The RFID-based high temperature warning system according to claim 1, wherein the preprocessing module calculates an average speed of vehicle travel based on the real-time speed V of the vehicle measured by the speed measurement pointCalculating the average speed/>, of vehicle travelThe formula according to is:
wherein, 、/>、/>、/>The speed data collected by the speed monitoring points at different time points are respectively obtained, and the interval time periods of the adjacent speed data collection are the same.
5. An RFID-based high temperature alarm system according to claim 1, wherein the data processing module is based on the average speed of current vehicle travelGenerating the remaining time K of the vehicle reaching the destination according to the following formula:
wherein, For the initial distance of the vehicle from the destination,/>For the distance that the vehicle has travelled,/>It can be known from GPS devices or using GPS enabled handsets and applications,/>Can be known from the odometer of the vehicle itself.
6. The RFID-based high temperature alarm system of claim 1, wherein the execution module selects different execution strategies according to different alarm signal levels, specifically:
when YC is more than or equal to 0 and is less than or equal to 0.5YZ, a high-temperature alarm signal is not sent out;
When 0.5YZ YC/>0.7YZ, sending out a primary high-temperature alarm signal;
When YZ is less than or equal to YC of 0.7 YZ, sending out a secondary high temperature alarm signal;
And when YC is more than or equal to YZ, sending out a third-stage high-temperature alarm signal.
CN202311164786.6A 2023-09-08 2023-09-08 High temperature alarm system based on RFID Active CN117235421B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311164786.6A CN117235421B (en) 2023-09-08 2023-09-08 High temperature alarm system based on RFID

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311164786.6A CN117235421B (en) 2023-09-08 2023-09-08 High temperature alarm system based on RFID

Publications (2)

Publication Number Publication Date
CN117235421A CN117235421A (en) 2023-12-15
CN117235421B true CN117235421B (en) 2024-04-19

Family

ID=89083643

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311164786.6A Active CN117235421B (en) 2023-09-08 2023-09-08 High temperature alarm system based on RFID

Country Status (1)

Country Link
CN (1) CN117235421B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN210573865U (en) * 2019-08-13 2020-05-19 兴化市阳山物流有限公司 Logistics compartment temperature management system based on RFID sensor label
CN115307778A (en) * 2022-08-12 2022-11-08 东方电气集团东方电机有限公司 Temperature monitoring device and method for generator rotor
CN115909647A (en) * 2022-11-21 2023-04-04 国网安徽省电力有限公司超高压分公司 Extra-high voltage transformer substation fire-fighting robot linkage system

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2965923A1 (en) * 2016-05-05 2017-11-05 Minds Inc. Vehicle load temperature monitoring system
US11263884B2 (en) * 2019-08-02 2022-03-01 Boris GRINBERG Early warning forecasting life-threatening temperature method and system
US11327503B2 (en) * 2019-08-18 2022-05-10 Cobalt Robotics Inc. Surveillance prevention by mobile robot
US20230173879A1 (en) * 2021-12-03 2023-06-08 International Business Machines Corporation Data analysis of environmental data for managing temperature of a transport environment

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN210573865U (en) * 2019-08-13 2020-05-19 兴化市阳山物流有限公司 Logistics compartment temperature management system based on RFID sensor label
CN115307778A (en) * 2022-08-12 2022-11-08 东方电气集团东方电机有限公司 Temperature monitoring device and method for generator rotor
CN115909647A (en) * 2022-11-21 2023-04-04 国网安徽省电力有限公司超高压分公司 Extra-high voltage transformer substation fire-fighting robot linkage system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于RFID和传感技术的冷链物流环境监测系统设计;李晓娜;朱耀庭;;物联网技术;20130215(第02期);全文 *

Also Published As

Publication number Publication date
CN117235421A (en) 2023-12-15

Similar Documents

Publication Publication Date Title
US11018900B2 (en) Method and apparatus for environmental sensing
CN114912852B (en) Abnormity monitoring and early warning system for storage tank of refrigeration bin
US10309945B2 (en) System, method, and apparatus for temperature monitoring and visibility
EP3039360B1 (en) A computer-implemented method of monitoring the operation of a cargo shipping reefer container
KR101205303B1 (en) Food quality information providing mehtod and system using food quality-index in smart refrigerator
US20070132577A1 (en) Method and apparatus for estimating the location of a signal transmitter
CN110094921A (en) A kind of intelligent refrigerator
US11263585B2 (en) Systems and methods for environmental monitoring of supply chains
US11994840B2 (en) Early warning system for food safety violation and method thereof
CN117235421B (en) High temperature alarm system based on RFID
KR20120123978A (en) History Management System of Storage Food at Refrigerator
KR101972650B1 (en) remote water leakage detecting system and method of remote detecting water leakage
CN105095664B (en) The computational methods and system of fruit shelf life
JP4826148B2 (en) Sensor device and sensor system
US20170064507A1 (en) Plant diagnostic and location detection means and system
WO2016170498A1 (en) Temperature monitoring of subject bodies using wireless energy transfer
CN112367401A (en) Intelligent centralized monitoring system and method for display refrigerator and storage medium
CN105652917A (en) Cold storage temperature control method based on infrared temperature measurement of unmanned planes
CN105487577A (en) Unmanned aerial vehicle infrared temperature measurement-based refrigerated warehouse temperature control system
US20240172042A1 (en) Adaptive beaconing for tracking tags used in tracking systems
KR20210129523A (en) Matching method of food manufacturing plant based on O2O service
Tovkach et al. Analysis the influence of sensor network configuration on rfid location accuracy based on rss measurements
US20050177346A1 (en) Process parameter monitoring system and method of use
EP0549295B1 (en) Calibration of temperature monitoring apparatus
CN115793758A (en) Environmental control method and device for warehousing system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant