CN116847223A - Temperature monitoring system - Google Patents

Temperature monitoring system Download PDF

Info

Publication number
CN116847223A
CN116847223A CN202311121051.5A CN202311121051A CN116847223A CN 116847223 A CN116847223 A CN 116847223A CN 202311121051 A CN202311121051 A CN 202311121051A CN 116847223 A CN116847223 A CN 116847223A
Authority
CN
China
Prior art keywords
temperature
target
temperature sensor
numi
information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311121051.5A
Other languages
Chinese (zh)
Inventor
和希文
侯绪森
靳海燕
王绍密
杨少飞
张帅民
张可诒
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.)
Shandong Traceability Safety Technology Co ltd
Original Assignee
Shandong Traceability Safety 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 Shandong Traceability Safety Technology Co ltd filed Critical Shandong Traceability Safety Technology Co ltd
Priority to CN202311121051.5A priority Critical patent/CN116847223A/en
Publication of CN116847223A publication Critical patent/CN116847223A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04QSELECTING
    • H04Q9/00Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
    • 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
    • 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
    • G01K1/026Means for indicating or recording specially adapted for thermometers arrangements for monitoring a plurality of temperatures, e.g. by multiplexing
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B31/00Predictive alarm systems characterised by extrapolation or other computation using updated historic data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04QSELECTING
    • H04Q2209/00Arrangements in telecontrol or telemetry systems
    • H04Q2209/80Arrangements in the sub-station, i.e. sensing device
    • H04Q2209/82Arrangements in the sub-station, i.e. sensing device where the sensing device takes the initiative of sending data
    • H04Q2209/823Arrangements in the sub-station, i.e. sensing device where the sensing device takes the initiative of sending data where the data is sent when the measured values exceed a threshold, e.g. sending an alarm

Abstract

The invention provides a temperature monitoring system, which relates to the field of safety monitoring, and comprises a server and a collecting device connected with the server; the acquisition device is used for executing the following steps: every first set time, a current temperature list a= (A1, A2, …, ai, …, am) is acquired; acquiring a historical temperature information list b= (B1, B2, …, bi, …, bm); bi= (BWi, BTi); performing temperature judgment processing on Ai; the temperature determination process includes the steps of: if |ai-BWI| is not less than DeltaTi, sending target information SX= (Ai, ET, TAGi) to a server; acquiring bwi=ai and BTi =et; after receiving SX, the server outputs first prompt information according to TAGI if Ai is more than or equal to YT. The temperature monitoring system provided by the invention can still output an alarm in time under the condition of reducing the use of network flow.

Description

Temperature monitoring system
Technical Field
The invention relates to the field of safety monitoring, in particular to a temperature monitoring system.
Background
Temperature is a physical quantity representing the cold and hot degree of an object, and is an important and common measurement parameter in the industrial and agricultural production process. The monitoring of the temperature plays an important role in ensuring the quality of products, improving the production efficiency, saving energy sources, producing safety and promoting the development of national economy. At present, the common temperature monitoring technology is that the data acquisition device directly transmits the acquired temperature data from the corresponding temperature sensor to the server each time, so that the data volume uploaded to the server is overlarge, and the use of network traffic is increased.
Disclosure of Invention
The present invention is directed to a temperature monitoring system, which at least partially solves the problems in the prior art.
In one aspect of the invention, a temperature monitoring system is provided, which comprises a server and a collecting device connected with the server, wherein the collecting device is connected with a plurality of temperature sensors.
The acquisition device is used for executing the following steps:
s100, obtaining a current temperature list a= (A1, A2, …, ai, …, am), i=1, 2, …, m every first set time; wherein m is the number of temperature sensors; ai is the current temperature obtained from the ith temperature sensor.
S110, acquiring a history temperature information list b= (B1, B2, …, bi, …, bm); bi= (BWi, BTi); wherein Bi is historical temperature information corresponding to the ith temperature sensor; BWi is the historical temperature corresponding to the i-th temperature sensor, and BTi is the time at which BWi is acquired.
S120, performing temperature judgment processing on Ai.
The temperature determination process includes the steps of:
s121, if the I Ai-BWI I is not less than DeltaTi, the step S122 is carried out; otherwise, ending the current temperature judgment processing; wherein Δti is the target temperature difference corresponding to the ith temperature sensor.
S122, transmitting target information sx= (Ai, ET, TAGi) to the server; wherein ET is the current time, TAGI is the temperature sensor identification corresponding to the ith temperature sensor.
S123, bwi=ai, and BTi =et are acquired.
After receiving SX, the server is configured to perform the following steps:
s200, outputting first prompt information according to TAGi if Ai is more than or equal to YT; the first prompt message comprises TAGI; YT is a preset temperature threshold.
The invention has at least the following beneficial effects:
the temperature monitoring system provided by the invention comprises: the system comprises a server and a collecting device connected with the server, wherein the collecting device is connected with a plurality of temperature sensors. The acquisition device acquires a current temperature list A at intervals of a first set time, and carries out temperature judgment processing on Ai through the acquired historical temperature information list B. The temperature determination process includes: if |ai-BWI| is not less than ΔTi, the target information SX= (Ai, ET, TAGi) is sent to the server. The temperature judgment processing is carried out through the acquisition device, and only when the temperature change amplitude is too large, the acquisition device can send target information to the server, so that the bandwidth is not occupied frequently, and the use of network traffic can be reduced. Bwi=ai is acquired, and BTi =et. That is, when |ai-BWI|ΔTi, the historical temperature information corresponding to Ai in the historical temperature information list is updated by using the temperature (Ai) acquired at the current time and the current time (ET) so that after the latest temperature of the ith temperature sensor is acquired next time, the latest temperature is compared with the temperature in the target information uploaded this time, and the information is uploaded to the server only when the temperature changes greatly from the last time. If the environmental temperature change amplitude monitored by the temperature sensor is too large and the server judges that the environmental temperature change amplitude exceeds a preset temperature threshold, early warning is needed, and the server outputs first prompt information. According to the temperature monitoring system provided by the invention, the acquisition device is used for carrying out temperature judgment processing, and when the temperature change amplitude detected by the temperature sensor is large, the acquisition device can only send target information to the server, so that data can not be uploaded frequently, and the occupied bandwidth can be reduced. And the server can judge once after receiving the target information, if the current temperature is greater than a preset temperature threshold value, the server outputs first prompt information according to TAGI to perform early warning, so that the alarm output can be performed in time under the condition that the use of network traffic is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of a temperature monitoring system according to an embodiment of the present invention;
fig. 2 is a flowchart of an implementation of an acquisition device in a temperature monitoring system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. 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 fall within the scope of the invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or server that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It is noted that various aspects of the embodiments are described below within the scope of the following claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the present disclosure, one skilled in the art will appreciate that one aspect described herein may be implemented independently of any other aspect, and that two or more of these aspects may be combined in various ways. For example, an apparatus may be implemented and/or a method practiced using any number of the aspects set forth herein. In addition, such apparatus may be implemented and/or such methods practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
Referring to fig. 1, an embodiment of the present invention provides a temperature monitoring system, which includes a server, and a collecting device connected to the server, wherein the collecting device is connected to a plurality of temperature sensors.
Specifically, the collection device is in wireless communication connection with the server, the collection device and the temperature sensors can be in wired communication connection or in wireless communication connection, and the distance between the collection device and each temperature sensor is smaller than the distance between the collection device and the server.
Further, the application scenario may be that acquisition devices are placed in a plurality of areas in one city, each acquisition device is connected to a plurality of temperature sensors to acquire the ambient temperatures of different places in one area, and one server is deployed in one city.
Referring to fig. 2, in this embodiment, the collecting device is configured to perform the following steps:
s100, obtaining a current temperature list a= (A1, A2, …, ai, …, am), i=1, 2, …, m every first set time; wherein m is the number of the temperature sensors; ai is the current temperature obtained from the ith temperature sensor.
Specifically, the selectable range of the first set time is 0.5s-10s, and preferably, the first set time is 1s.
S110, acquiring a history temperature information list b= (B1, B2, …, bi, …, bm); bi= (BWi, BTi); wherein Bi is historical temperature information corresponding to the ith temperature sensor; BWi is the historical temperature corresponding to the i-th temperature sensor, and BTi is the time at which BWi is acquired.
Specifically, the historical temperature and time in the historical temperature information of each temperature sensor are both initially 0.
S120, performing temperature judgment processing on Ai.
The temperature determination process includes the steps of:
s121, if the I Ai-BWI I is not less than DeltaTi, the step S122 is carried out; otherwise, ending the current temperature judgment processing; wherein Δti is the target temperature difference corresponding to the ith temperature sensor.
S122, transmitting target information sx= (Ai, ET, TAGi) to the server; wherein ET is the current time, TAGI is the temperature sensor identification corresponding to the ith temperature sensor.
S123, bwi=ai, and BTi =et are acquired.
Specifically, the acquisition device performs temperature judgment processing by comparing the temperature difference between the current temperature corresponding to the temperature sensor and the historical temperature, and if the absolute value of the temperature difference between the current temperature and the historical temperature is larger than the target temperature difference corresponding to the temperature sensor, the acquisition device indicates that the current temperature change range is too large, then the acquisition device sends target information to the server, so that the bandwidth is not occupied frequently, and the use of network flow can be reduced. The target information comprises the current temperature, the current time and the temperature sensor mark, and can rapidly locate a specific area with overlarge temperature change amplitude and preliminarily judge the temperature condition of the area.
Further, when |ai-BWI|is equal to or greater than ΔTi, the temperature (Ai) acquired at the current time and the current time (ET) are used for updating the historical temperature information corresponding to Ai in the historical temperature information list, so that after the latest temperature of the ith temperature sensor is acquired next time, the latest temperature is compared with the temperature in the target information uploaded this time.
After receiving SX, the server is configured to perform the following steps:
s200, outputting first prompt information according to TAGi if Ai is more than or equal to YT; the first prompt message comprises TAGI; YT is a preset temperature threshold.
Specifically, the specific value of YT can be determined by the actual implementation personnel according to the actual requirements; for example, if the temperature sensor is to detect the ambient temperature around the transformer, YT may be 50 ℃; if the temperature sensor is to detect the ambient temperature around the vending machine, YT may be 40 ℃.
The temperature monitoring system provided by the invention comprises: the system comprises a server and a collecting device connected with the server, wherein the collecting device is connected with a plurality of temperature sensors. The acquisition device acquires a current temperature list A at intervals of a first set time, and carries out temperature judgment processing on Ai through the acquired historical temperature information list B. The temperature determination process includes: if |ai-BWI| is not less than ΔTi, the target information SX= (Ai, ET, TAGi) is sent to the server. The temperature judgment processing is carried out through the acquisition device, and only when the temperature change amplitude is too large, the acquisition device can send target information to the server, so that the bandwidth is not occupied frequently, and the use of network traffic can be reduced. Bwi=ai is acquired, and BTi =et. That is, when |ai-BWI|ΔTi, the historical temperature information corresponding to Ai in the historical temperature information list is updated by using the temperature (Ai) acquired at the current time and the current time (ET) so that after the latest temperature of the ith temperature sensor is acquired next time, the latest temperature is compared with the temperature in the target information uploaded this time, and the information is uploaded to the server only when the temperature changes greatly from the last time. If the environmental temperature change amplitude monitored by the temperature sensor is too large and the server judges that the environmental temperature change amplitude exceeds a preset temperature threshold, early warning is needed, and the server outputs first prompt information. According to the temperature monitoring system provided by the invention, the acquisition device is used for carrying out temperature judgment processing, and when the temperature change amplitude detected by the temperature sensor is large, the acquisition device can only send target information to the server, so that data can not be uploaded frequently, and the occupied bandwidth can be reduced. And the server can judge once after receiving the target information, if the current temperature is greater than a preset temperature threshold value, the server outputs first prompt information according to TAGI to perform early warning, so that the alarm output can be performed in time under the condition that the use of network traffic is reduced.
In actual implementation, if Δmt is set to be large, and the temperature of the last upload is close to YT, an alarm is likely to be missed. If the temperature of the last uploading is 39.4 ℃, Δti is 2 ℃, and YT is 40 ℃, if the temperature obtained by the acquisition device from the temperature sensor is 40.5 ℃, the current temperature is not uploaded to the server, and the server cannot send out an alarm (i.e. the first prompt message).
So in order to solve the above-described problem, in an exemplary embodiment of the present invention, the temperature determination process further includes the following steps after the step S123:
s124, if YT-Ai is more than or equal to DeltaMT, obtaining DeltaTi=DeltaMT; Δmt is a preset temperature difference threshold.
Specifically, if YT-Ai is more than or equal to DeltaMT, the temperature difference between the current temperature and the preset temperature threshold is larger, the preset temperature difference threshold is set as the target temperature difference, and under the condition that the temperature change amplitude is not large, the target information is not required to be sent to the server, so that the frequency of uploading data to the server by the acquisition device is reduced, and the condition of alarm missing is avoided.
Further, the optional range of the preset temperature difference threshold is 3 ℃ to 10 ℃, and preferably, the preset temperature difference threshold is 5 ℃.
S125, if Δmt > YT-Ai > 0, Δti=yt-Ai is obtained.
Specifically, if ΔMT > YT-Ai > 0, it indicates that the current temperature is relatively close to the preset temperature threshold, and if the preset temperature difference threshold is still used as the target temperature difference, the target information is not sent to the server when the temperature judgment processing is performed, and an alarm missing report situation may occur. Therefore, in this case, ΔTi is set to YT-Ai in this embodiment, so that as long as the currently acquired temperature exceeds YT, uploading is necessarily performed to the server, thereby avoiding the situation of alarm missing report.
S126, if YT-Ai is less than or equal to 0, Δti=0 is obtained.
Specifically, if YT-Ai is less than or equal to 0, the current temperature is larger than the preset temperature threshold, and the surface temperature sensor is in an abnormal state in the corresponding environment. The monitoring of abnormal state should acquire the current data as comprehensively and timely as possible. Thus, in the present embodiment, if YT-Ai is less than or equal to 0, ΔTi=0 is obtained. So that the temperature collected by the collecting device can be uploaded to the server every time.
In an exemplary embodiment of the present invention, the server is further configured to, after receiving SX, perform the following steps:
s210, according to TAGI, acquiring a target temperature information list Pi= (P) corresponding to the ith temperature sensor i,1 ,P i,2 ,…,P i,x ,…,P i,y ),P i,x =(PT i,x ,PET i,x ,PST i,x ) X=1, 2, …, y; wherein y is the number of the target temperature information currently corresponding to the ith temperature sensor; p (P) i,x The ith target temperature information corresponding to the ith temperature sensor; PT (PT) i,x Is P i,x Corresponding temperature, PET i,x Is P i,x Corresponding start time, PST i,x Is P i,x Corresponding end time.
S220, generating the (y+1) th target temperature information P corresponding to the (i) th temperature sensor according to the SX i,y+1 =(PT i,y+1 ,PET i,y+1 ,PST i,y+1 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein PT i,y+1 =Ai;PET i,y+1 =ET;PST i,y+1 =NULL。
S230, P is i,y+1 Added to Pi.
S240, obtaining PST i,y =ET。
Specifically, the target temperature information list is stored in the server, and temperature information is acquired every first set time, but only the target temperature information of the current time uploaded by the acquisition device is added to the target temperature information list, so that the storage amount of data can be reduced, and the change condition of the historical temperature can be seen.
Further, before the target temperature information of the current time is added to the target temperature information list, P i,y Starting time of PST i,y-1 The ending time is NULL, the target temperature information of the current time is added into a target temperature information list, and P is indicated i,y The corresponding temperature duration ends and changes to the temperature at the current time, thus, PST i,y Namely the current time, PET i,y+1 Also the current time. Since the end time of the current temperature is not yet known, the end time of the current temperature is set to NULL.
In an exemplary embodiment of the invention, the server is further adapted to perform the steps of:
s300, if the number of the target temperature information which is continuously received for the same temperature sensor reaches a preset number threshold value within a second set time length, outputting second prompt information; the second prompt information comprises the number of continuously received target temperature information of the same temperature sensor and the temperature sensor identification.
Specifically, if the number of target temperature information of the same temperature sensor reaches a preset number threshold, it indicates that the temperature change of the area where the temperature sensor is located is frequent in a short time, and although the temperature does not reach the preset temperature threshold, attention is required, so that a second prompt message is output for early warning. Thus, an alarm can be sent out before the received temperature exceeds YT, and the method is helpful for finding and solving the abnormality in advance. Compared with some existing anomaly prediction methods (such as prediction according to the combination of a plurality of historical temperatures and AI modules), in this embodiment, only simple statistics of times is needed, and no large calculation amount is occupied.
Further, the optional range of the preset number threshold is 3-10, and preferably, the preset number threshold is 5.
Further, the second set time length may be selected from 3min to 10min, and preferably, the second set time length is 5min.
In an exemplary embodiment of the present invention, the step S210 includes:
s2101, according to TAGi, acquiring a target temperature information list Pi corresponding to an ith temperature sensor in a target time window.
After the step S210, the method further includes the steps of:
s211, according to Pi, obtaining temperature change characteristic information Ti= (T) corresponding to the ith temperature sensor i,1 ,T i,2 ,…,T i,j ,…,T i,y-1 ) The method comprises the steps of carrying out a first treatment on the surface of the j=1, 2, …, y-1; wherein T is i,j For the j-th temperature change characteristic in Ti, T i,j =(PT i,j+1 -PT i,j )/(PST i,j -PET i,j )。
S212, acquiring the target object consumption NUMi of the target equipment corresponding to the ith temperature sensor in the future target time length SC according to Ti.
S213, acquiring the current target article residual quantity NUMi' in the target equipment corresponding to the ith temperature sensor.
S214, if NUMi' < NUMi, outputting third prompt information.
In particular, the first target item consumption is related to a change in temperature.
Further, T i,j Can be expressed at P i,j The rate of temperature change over a corresponding time period such that Ti can represent a change curve of the rate of temperature change over a target time window. Therefore, the target item consumption NUMi of the target device corresponding to the i-th temperature sensor in the future target time length SC can be acquired from Ti. The selectable range of the target time window is 1-6h, and the length of the target time window is 3h is preferable.
The specific method for determining NUMi may be to input Ti as an input vector into a pre-trained AI model for prediction, or use other prediction algorithms to combine with Ti to determine NUMi.
Further, after predicting the target article consumption in the future target time length SC according to the temperature change characteristic information, the target article consumption and the target article remaining amount may be compared. If the target item remaining amount is less than the target item consumption amount, the target item may not satisfy the consumption for a target length of time SC in the future, and need to be replenished. Such as: the drinking water in the automatic vending machine is consumed more when the temperature is higher, and if the surplus of the drinking water does not meet the consumption, the drinking water needs to be timely supplemented so as not to influence vending.
Further, the target time length SC is greater than the set time length, and the optional range of SC is 3min-10min, preferably, the length of the target time window is 5min.
In one exemplary embodiment of the present invention, a method of determining NUMi from Ti is provided.
Specifically, the step S212 includes:
s2121, obtaining an intermediate target object consumption list Li= (L) corresponding to the target device corresponding to the ith temperature sensor i,1 ,L i,2 ,…,L i,j ,…,L i,y-1 );L i,j Is P i,j Consumption of the target item from a start time to an end time of the corresponding temperature.
S2122, according to Li, acquiring a historical target object consumption rate list Vi= (V) corresponding to target equipment corresponding to the ith temperature sensor i,1 ,V i,2 ,…,V i,j ,…,V i,y-1 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein V is i,j Is P i,j Target rate of consumption of the article from start time to end time of corresponding temperature, V i,j =L i,j /(PT i,j -PT i,j )。
S2123, according to Ti and Vi, acquiring a target object consumption NUMi of target equipment corresponding to an ith temperature sensor in a future target time length SC; wherein numi= (Σ) y-1 j=1 T i,j )/(y-1)*(∑ y-1 j=1 V i,j )/(y-1)*SC。
Specifically, the target item consumption rate can be calculated according to the target item consumption amount and time, and the relationship between the target item consumption amount and the temperature change can be summarized through the target item consumption rate and the temperature change characteristic information, so that the target item consumption amount in the future target time length can be estimated. Such as: the potable water in vending machines is consumed at a relatively fast rate when the temperature rises relatively fast.
In an exemplary embodiment of the present invention, the step S214 includes:
s2141, if NUMi '< NUMi, the target item difference Δnumi=numi-NUMi' is obtained.
S2142, obtaining a target time mt=et+β NUMi'/NUMi SC; beta is the adjustment coefficient, beta = BT/(Σ) y-1 j=1 T j ) /(y-1); BT is a preset standard rate of change.
S2143, third prompt information is generated according to MT and DeltaNUMi.
S2144, pushing the third prompt information to the electronic equipment of the target user, so that the target user supplements at least delta NUMi target objects in the target equipment corresponding to the ith temperature sensor before MT.
Specifically, if NUMi' < NUMi, it indicates that the target article is insufficient, and according to the calculation, the target time (in this embodiment, the target time is the predicted time when the existing target article in the target device is consumed) can be obtained, and by pushing the third prompt information to the electronic device of the target user, the target user is prompted to timely supplement the target article before the target time, so as to avoid the situation that the actual use is affected by all consumption of the target article.
Furthermore, the adjustment coefficient beta reflects the characteristic of the temperature change characteristic, the service condition of the target object is affected by the temperature, and the time that the rest target object can be used is more accurately reflected by setting the adjustment coefficient. If the average value of the temperature change characteristics is larger, which indicates that the temperature change is faster in a short time, the beta is smaller, the consumption rate of the target object is faster, and the target time obtained by calculation is shorter, that is, the target object is consumed in a shorter time.
In an exemplary embodiment of the present invention, if the rate of change of the temperature change characteristic within the target time window meets the standard rate of change, the step S214 includes:
s2145, if NUMi '< NUMi, the target item difference Δnumi=numi-NUMi' is obtained.
S2146, obtaining a target time mt=et+numi'/NUMi SC;
s2147, third prompt information is generated according to MT and DeltaNUMi.
S2148, pushing the third prompt information to the electronic equipment of the target user, so that the target user supplements at least delta NUMi target objects in the target equipment corresponding to the ith temperature sensor before MT.
Further, BT may optionally be in the range of 1-5, preferably bt=1.
In an exemplary embodiment of the present invention, the third hint information includes NUMi, NUMi', MT, Δnumi.
While certain specific embodiments of the invention have been described in detail by way of example, it will be appreciated by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the invention. Those skilled in the art will also appreciate that many modifications may be made to the embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.

Claims (8)

1. The temperature monitoring system is characterized by comprising a server and a collecting device connected with the server, wherein the collecting device is connected with a plurality of temperature sensors;
the acquisition device is used for executing the following steps:
s100, obtaining a current temperature list a= (A1, A2, …, ai, …, am), i=1, 2, …, m every first set time; wherein m is the number of the temperature sensors; ai is the current temperature obtained from the ith temperature sensor;
s110, acquiring a history temperature information list b= (B1, B2, …, bi, …, bm); bi= (BWi, BTi); wherein Bi is historical temperature information corresponding to the ith temperature sensor; BWi is the historical temperature corresponding to the i-th temperature sensor, and BTi is the time when BWi is acquired;
s120, performing temperature judgment processing on Ai;
the temperature determination process includes the steps of:
s121, if the I Ai-BWI I is not less than DeltaTi, the step S122 is carried out; otherwise, ending the current temperature judgment processing; wherein Δti is a target temperature difference corresponding to the ith temperature sensor;
s122, transmitting target information sx= (Ai, ET, TAGi) to the server; wherein ET is the current time, TAGI is the temperature sensor mark corresponding to the ith temperature sensor;
s123, acquisition bwi=ai, and BTi =et;
after receiving SX, the server is configured to perform the following steps:
s200, outputting first prompt information according to TAGi if Ai is more than or equal to YT; the first prompt message comprises TAGI; YT is a preset temperature threshold.
2. The temperature monitoring system according to claim 1, wherein the temperature determination process further includes, after the step S123, the steps of:
s124, if YT-Ai is more than or equal to DeltaMT, obtaining DeltaTi=DeltaMT; Δmt is a preset temperature difference threshold;
s125, if DeltaMT > YT-Ai > 0, obtaining DeltaTi=YT-Ai;
s126, if YT-Ai is less than or equal to 0, Δti=0 is obtained.
3. The temperature monitoring system of claim 1, wherein the server, upon receiving SX, is further configured to perform the steps of:
s210, according to TAGI, acquiring a target temperature information list Pi= (P) corresponding to the ith temperature sensor i,1 ,P i,2 ,…,P i,x ,…,P i,y ),P i,x =(PT i,x ,PET i,x ,PST i,x ) X=1, 2, …, y; wherein y is the number of the target temperature information currently corresponding to the ith temperature sensor; p (P) i,x The ith target temperature information corresponding to the ith temperature sensor; PT (PT) i,x Is P i,x Corresponding temperature, PET i,x Is P i,x Corresponding start time, PST i,x Is P i,x Corresponding end time;
s220, generating the (y+1) th target temperature information P corresponding to the (i) th temperature sensor according to the SX i,y+1 =(PT i,y+1 ,PET i,y+1 ,PST i,y+1 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein PT i,y+1 =Ai;PET i,y+1 =ET;PST i,y+1 =NULL;
S230, P is i,y+1 Added to Pi;
s240, obtaining PST i,y =ET。
4. A temperature monitoring system according to claim 3, wherein the server is further adapted to perform the steps of:
s300, if the number of the target temperature information which is continuously received for the same temperature sensor reaches a preset number threshold value within a second set time length, outputting second prompt information; the second prompt information comprises the number of continuously received target temperature information of the same temperature sensor and the temperature sensor identification.
5. A temperature monitoring system according to claim 3, wherein the step S210 comprises:
s2101, acquiring a target temperature information list Pi corresponding to an ith temperature sensor in a target time window according to TAGi;
after the step S210, the server is further configured to perform the following steps:
s211, according to Pi, obtaining temperature change characteristic information Ti= (T) corresponding to the ith temperature sensor i,1 ,T i,2 ,…,T i,j ,…,T i,y-1 ) The method comprises the steps of carrying out a first treatment on the surface of the j=1, 2, …, y-1; wherein T is i,j For the j-th temperature change characteristic in Ti, T i,j =(PT i,j+1 -PT i,j )/(PST i,j -PET i,j );
S212, acquiring target object consumption NUMi of target equipment corresponding to an ith temperature sensor in a future target time length SC according to Ti;
s213, acquiring the current target article residual quantity NUMi' in the target equipment corresponding to the ith temperature sensor;
s214, if NUMi' < NUMi, outputting third prompt information.
6. The temperature monitoring system according to claim 5, wherein the step S212 includes:
s2121, obtaining an intermediate target object consumption list Li= (L) corresponding to the target device corresponding to the ith temperature sensor i,1 ,L i,2 ,…,L i,j ,…,L i,y-1 );L i,j Is P i,j Consumption of the target object from a start time to an end time of the corresponding temperature;
s2122, according to Li, acquiring a historical target object consumption rate list Vi= (V) corresponding to target equipment corresponding to the ith temperature sensor i,1 ,V i,2 ,…,V i,j ,…,V i,y-1 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein V is i,j Is P i,j Target rate of consumption of the article from start time to end time of corresponding temperature, V i,j =L i,j /(PT i,j -PT i,j );
S2123, according to Ti and Vi, acquiring a target object consumption NUMi of target equipment corresponding to an ith temperature sensor in a future target time length SC; wherein numi= (Σ) y-1 j=1 T i,j )/(y-1)*(∑ y-1 j=1 V i,j )/(y-1)*SC。
7. The temperature monitoring system according to claim 5, wherein the step S214 includes:
s2141, if NUMi '< NUMi, obtaining the target article difference Δnumi=numi-NUMi';
s2142, obtaining a target time mt=et+β NUMi'/NUMi SC; beta is the adjustment coefficient, beta = BT/(Σ) y-1 j=1 T j ) /(y-1); BT is a preset standard change rate;
s2143, third prompt information is generated according to the MT and the delta NUMi;
s2144, pushing the third prompt information to the electronic equipment of the target user, so that the target user supplements at least delta NUMi target objects in the target equipment corresponding to the ith temperature sensor before MT.
8. The temperature monitoring system of claim 7, wherein the third hint information includes NUMi, NUMi', MT, Δnumi.
CN202311121051.5A 2023-09-01 2023-09-01 Temperature monitoring system Pending CN116847223A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311121051.5A CN116847223A (en) 2023-09-01 2023-09-01 Temperature monitoring system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311121051.5A CN116847223A (en) 2023-09-01 2023-09-01 Temperature monitoring system

Publications (1)

Publication Number Publication Date
CN116847223A true CN116847223A (en) 2023-10-03

Family

ID=88172882

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311121051.5A Pending CN116847223A (en) 2023-09-01 2023-09-01 Temperature monitoring system

Country Status (1)

Country Link
CN (1) CN116847223A (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101382797A (en) * 2007-09-06 2009-03-11 费舍-柔斯芒特系统股份有限公司 Wireless communication of process measurements
CN105872071A (en) * 2016-04-30 2016-08-17 深圳市普特生物医学工程有限公司 Monitoring method for temperature and humidity monitoring system based on blood station component department
US20190024926A1 (en) * 2016-01-14 2019-01-24 Samsung Electronics Co., Ltd. Electronic device and air-conditioning control method therefor
CN109391641A (en) * 2017-08-03 2019-02-26 杭州海康威视数字技术股份有限公司 Temperature information method for uploading, device, system, electronic equipment and storage medium
CN111273573A (en) * 2018-12-04 2020-06-12 北京嘀嘀无限科技发展有限公司 Environmental data monitoring method and device
CN113049142A (en) * 2019-12-27 2021-06-29 华能如东八仙角海上风力发电有限责任公司 Temperature sensor alarm method, device, equipment and storage medium
WO2022184147A1 (en) * 2021-03-04 2022-09-09 长沙智能驾驶研究院有限公司 Monitoring component control method and apparatus, and vehicle, device and computer storage medium
CN116373557A (en) * 2023-05-16 2023-07-04 上汽通用五菱汽车股份有限公司 Processing method of fragrance system, vehicle and readable storage medium

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101382797A (en) * 2007-09-06 2009-03-11 费舍-柔斯芒特系统股份有限公司 Wireless communication of process measurements
US20190024926A1 (en) * 2016-01-14 2019-01-24 Samsung Electronics Co., Ltd. Electronic device and air-conditioning control method therefor
CN105872071A (en) * 2016-04-30 2016-08-17 深圳市普特生物医学工程有限公司 Monitoring method for temperature and humidity monitoring system based on blood station component department
CN109391641A (en) * 2017-08-03 2019-02-26 杭州海康威视数字技术股份有限公司 Temperature information method for uploading, device, system, electronic equipment and storage medium
CN111273573A (en) * 2018-12-04 2020-06-12 北京嘀嘀无限科技发展有限公司 Environmental data monitoring method and device
CN113049142A (en) * 2019-12-27 2021-06-29 华能如东八仙角海上风力发电有限责任公司 Temperature sensor alarm method, device, equipment and storage medium
WO2022184147A1 (en) * 2021-03-04 2022-09-09 长沙智能驾驶研究院有限公司 Monitoring component control method and apparatus, and vehicle, device and computer storage medium
CN116373557A (en) * 2023-05-16 2023-07-04 上汽通用五菱汽车股份有限公司 Processing method of fragrance system, vehicle and readable storage medium

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘海涛;: "恒虚警下异常网络流量序列监测技术仿真分析", 计算机仿真, no. 08 *

Similar Documents

Publication Publication Date Title
US10316499B2 (en) Freeze prediction system
CN115495320B (en) Monitoring management system for communication machine room protection based on big data
KR102055258B1 (en) Apparatus and method for managing the water level of water storage tank using smart RTU
US10200272B1 (en) Dynamic availability-based wireless data transmission
CN115527203B (en) Cereal drying remote control method and system based on Internet of things
CN104023356A (en) Facilitate environmental control-oriented wireless sensor network data transmission method
US20180182221A1 (en) Method and apparatus for detecting abnormal event related to person at home
CN113342098A (en) Multipurpose farm environment intelligent control method and system
WO2023063887A2 (en) Method and apparatus for predicting state of wind turbine blade, and device and storage medium therefor
CN111025919B (en) Intelligent temperature control equipment control method and device, server and storage medium
CN115390504A (en) Wisdom farming system based on 5G thing networking
CN116847223A (en) Temperature monitoring system
CN116225102B (en) Mobile energy storage communication temperature rise automatic monitoring system and device
Annese et al. On-line shelf-life prediction in perishable goods chain through the integration of WSN technology with a 1st order kinetic model
CN117148798A (en) Equipment monitoring method and device, storage medium and electronic equipment
CN112291303A (en) Multidirectional distance dynamic monitoring and early warning method based on edge calculation
CN111866907B (en) Sensor networking time-staggered awakening control method and system based on ZigBee technology
EP3025452B1 (en) Monitoring network use of resources
CN113794646B (en) Monitoring data transmission system and method for energy industry
WO2016133439A1 (en) Method device and computer program for calibration of a sensor
Čisar et al. EWMA based threshold algorithm for intrusion detection
CN114553914B (en) Data processing method and device suitable for Internet of things gateway
WO2023084877A1 (en) Drinking water state identification device, drinking water state identification program, and storage medium
CN103759856A (en) Analysis and early warning method of cold chain system
KR102537966B1 (en) An Integrated Management System and Method for the Cultivation and Sale of Fish Species in Idle Farms using AI

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