CN117148798A - Equipment monitoring method and device, storage medium and electronic equipment - Google Patents
Equipment monitoring method and device, storage medium and electronic equipment Download PDFInfo
- Publication number
- CN117148798A CN117148798A CN202311125433.5A CN202311125433A CN117148798A CN 117148798 A CN117148798 A CN 117148798A CN 202311125433 A CN202311125433 A CN 202311125433A CN 117148798 A CN117148798 A CN 117148798A
- Authority
- CN
- China
- Prior art keywords
- target
- num
- temperature
- time
- equipment
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000012544 monitoring process Methods 0.000 title claims abstract description 26
- 238000012545 processing Methods 0.000 claims abstract description 17
- 239000013589 supplement Substances 0.000 claims abstract description 8
- 235000017351 Carissa bispinosa Nutrition 0.000 claims description 4
- 240000002199 Carissa bispinosa Species 0.000 claims description 4
- 230000000052 comparative effect Effects 0.000 claims description 2
- 239000003651 drinking water Substances 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 235000020188 drinking water Nutrition 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012806 monitoring device Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 235000012206 bottled water Nutrition 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31282—Data acquisition, BDE MDE
Abstract
The invention provides a device monitoring method, a device, a storage medium and an electronic device, and relates to the field of data processing, wherein the method is applied to the data processing device and comprises the following steps: s100, acquiring a historical temperature information list A corresponding to target equipment in a target time window every set time length; s200, generating a temperature change characteristic list T corresponding to the target equipment according to the A; s300, acquiring a target object consumption NUM of target equipment in a future target time length SC according to T; s400, acquiring the current target article residual quantity NUM' in the target equipment; s500, if NUM' < NUM, outputting prompt information. The equipment monitoring method provided by the invention can prompt the user to supplement the target object in the target equipment in time, avoid affecting the use of the target object, and improve the real-time performance and accuracy of equipment monitoring.
Description
Technical Field
The present invention relates to the field of data processing, and in particular, to an apparatus monitoring method, a data processing apparatus, a storage medium, and an electronic apparatus.
Background
With the rapid development of science and technology, various automatic equipment are developed, and the working efficiency and the production stability are greatly improved. Although automation devices have numerous advantages, there are certain limitations, such as high operation and maintenance costs, susceptibility to environmental factors, untimely material replenishment, etc., which can affect the overall working result once a problem occurs in the automation device in application. In the production process, whether the equipment is normal or not is monitored by people generally, the real-time performance is not high, and the equipment is easily influenced by subjective factors of people, so that the accuracy is difficult to ensure.
Disclosure of Invention
Aiming at the technical problems, the invention provides a device monitoring method, a device, a storage medium and electronic equipment, which at least partially solve the problems existing in the prior art.
In one aspect of the present invention, there is provided a device monitoring method applied to a data processing apparatus, the method comprising the steps of:
s100, acquiring a history temperature information list A= (A) corresponding to the target equipment in a target time window every set time length 1 ，A 2 ，…，A i ，…，A m )，i＝1，2，…，m；A i ＝(W i ，ET i ，ST i ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein m is the number of the historical temperature information corresponding to the target equipment, A i The i-th historical temperature information corresponding to the target equipment is obtained; ET (electric T) i Is A i Corresponding start time, ST i Is A i Corresponding end time, W i To be at ET i To ST i The ambient temperature in the target area corresponding to the target device during the time period; the ending time of the target time window is the current time T now ；ST m ＝NULL。
S200, according to A, generating a temperature change characteristic list T= (T) corresponding to the target equipment 1 ，T 2 ，…，T j ，…，T m-1 ) The method comprises the steps of carrying out a first treatment on the surface of the j=1, 2, …, m-1; wherein T is j Is the j-th temperature change characteristic in T; t (T) j ＝(W j+1 -W j )/(ST j -ET j )。
S300, according to T, acquiring the target item consumption NUM of the target equipment in the future target time length SC.
S400, acquiring the current target article residual quantity NUM' in the target equipment.
S500, if NUM' < NUM, outputting first prompt information.
In another aspect of the present invention, there is provided an apparatus monitoring device comprising:
a historical temperature information list obtaining module, configured to obtain a historical temperature information list a= (a) corresponding to the target device in the target time window at intervals of a set time length 1 ，A 2 ，…，A i ，…，A m )，i＝1，2，…，m；A i ＝(W i ，ET i ，ST i ). Wherein m is the number of the historical temperature information corresponding to the target equipment, A i The i-th historical temperature information corresponding to the target equipment is obtained; ET (electric T) i Is A i Corresponding start time, ST i Is A i Corresponding end time, W i To be at ET i To ST i The ambient temperature in the target area corresponding to the target device during the time period; the ending time of the target time window is the current time T now ；ST m ＝NULL。
An ambient temperature change feature list generating module, configured to generate, according to a, a temperature change feature list t= (T) corresponding to the target device 1 ，T 2 ，…，T j ，…，T m-1 ) The method comprises the steps of carrying out a first treatment on the surface of the j=1, 2, …, m-1; wherein T is j Is the j-th temperature change characteristic in T; t (T) j ＝(W j+1 -W j )/(ST j -ET j )。
And the target article consumption acquisition module is used for acquiring the target article consumption NUM of the target equipment in the future target time length SC according to T.
And the target article remaining amount acquisition module acquires the current target article remaining amount NUM' in the target equipment.
And the prompt information output module is used for outputting first prompt information if NUM' < NUM.
In another aspect of the present invention, a non-transitory computer readable storage medium is provided, in which at least one instruction or at least one program is stored, the at least one instruction or the at least one program being loaded and executed by a processor to implement any one of the device monitoring methods.
In another aspect of the invention, an electronic device is provided that includes a processor and the non-transitory computer readable storage medium described above.
The invention has at least the following beneficial effects:
according to the equipment monitoring method provided by the invention, the historical temperature information list corresponding to the target equipment in the target time window can be obtained at intervals of set time, and the temperature change characteristic list corresponding to the target equipment can be generated according to the historical temperature information list. Since the consumption amount of the target item in the target device is related to the change in temperature, the target item consumption amount of the target device in the future target time period can be acquired from the temperature change feature list. And then acquiring the current target article residual quantity in the target equipment, and if the target article residual quantity is smaller than the target article consumption quantity, indicating that the target article is not used enough in the future target time length, thereby outputting the first prompt information in real time. The equipment monitoring method provided by the invention can predict the consumption of the target object by utilizing the temperature change characteristic list, thereby reminding a user to supplement the target object in the target equipment in time, avoiding affecting the use of the target object and improving the real-time performance and accuracy of equipment monitoring.
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 flowchart of a device monitoring method 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 device monitoring method, which is applied to a data processing apparatus.
Specifically, the data processing device comprises a server and an acquisition device; the data processing device is in wireless communication connection with the server, the acquisition device is connected with a temperature sensor, and the temperature sensor is arranged in a target area corresponding to the target equipment; and the distance between the acquisition device and each temperature sensor is smaller than the distance between the acquisition device and the server. The target area may be an area corresponding to the outside or inside of the target device.
The method comprises the following steps:
s100, acquiring a history temperature information list A= (A) corresponding to the target equipment in a target time window every set time length 1 ，A 2 ，…，A i ，…，A m )，i＝1，2，…，m；A i ＝(W i ，ET i ，ST i ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein m is the number of the historical temperature information corresponding to the target equipment, A i The i-th historical temperature information corresponding to the target equipment is obtained; ET (electric T) i Is A i Corresponding start time, ST i Is A i Corresponding end time, W i To be at ET i To ST i The ambient temperature in the target area corresponding to the target device during the time period; the ending time of the target time window is the current time T now ；ST m ＝NULL。
Specifically, the optional range of the set time length is 5s-30s, and preferably, the set time length is 10s.
Further, the length of the target time window is greater than the set time length, the selectable range is 1h-5h, and preferably, the length of the target time window is 3h.
Further, the end time of the target time window is equal to A m The corresponding end times may or may not be consistent.
Those skilled in the art can know that any method for obtaining temperature information in the prior art falls into the protection scope of the present invention, and is not described herein.
S200, according to A, generating a temperature change characteristic list T= (T) corresponding to the target equipment 1 ，T 2 ，…，T j ，…，T m-1 ) The method comprises the steps of carrying out a first treatment on the surface of the j=1, 2, …, m-1; wherein T is j Is the j-th temperature change characteristic in T; t (T) j ＝(W j+1 -W j )/(ST j -ET j )。
S300, according to T, acquiring the target item consumption NUM of the target equipment in the future target time length SC.
Further, T j Can be expressed in A j The rate of temperature change over a corresponding time period such that T can represent the change curve of the rate of temperature change over the target time window. Therefore, the target item consumption NUM of the target device in the target time length SC in the future can be acquired from T.
The specific method for determining NUM may be to input T as an input vector into a pre-trained AI model for prediction, or to use other prediction algorithms in combination with T to determine NUM.
Specifically, the target time length SC is greater than the set time length, and the optional range of SC is 3min-10min, and preferably, the length of the target time window is 5min.
Further, after predicting the target article consumption in the future target time length SC according to the temperature change feature list, 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.
S400, acquiring the current target article residual quantity NUM' in the target equipment.
S500, if NUM' < NUM, outputting first prompt information.
According to the equipment monitoring method provided by the invention, the historical temperature information list corresponding to the target equipment in the target time window can be obtained at intervals of set time, and the temperature change characteristic list corresponding to the target equipment can be generated according to the historical temperature information list. Since the consumption amount of the target item in the target device is related to the change in temperature, the target item consumption amount of the target device in the future target time period can be acquired from the temperature change feature list. And then acquiring the current target article residual quantity in the target equipment, and if the target article residual quantity is smaller than the target article consumption quantity, indicating that the target article is not used enough in the future target time length, thereby outputting the first prompt information in real time. The equipment monitoring method provided by the invention can predict the consumption of the target object by utilizing the temperature change characteristic list, thereby reminding a user to supplement the target object in the target equipment in time, avoiding affecting the use of the target object and improving the real-time performance and accuracy of equipment monitoring.
In an exemplary embodiment of the present invention, the step S300 includes:
s310, acquiring a historical target object consumption list L= (L) corresponding to the target device 1 ，L 2 ，…，L j ，…，L m-1 )；L j Is A j Consumption of the target item from a start time to an end time of the corresponding temperature.
S320, according to L, a historical target object consumption rate list V= (V) corresponding to the target device 1 ，V 2 ，…，V j ，…，V m-1 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein V is j Is A j Consumption rate of target object from start time to end time of corresponding temperature, V j ＝L j /(ST j -ET j )。
S330, according to T and V, the first target object consumption NUM of the target device in the future target time length SC is obtained. Wherein num= (Σ) m-1 j＝1 T j )/(m-1)*(∑ m-1 j＝1 V j )/(m-1)*SC。
Specifically, the target item consumption rate can be calculated according to the target item consumption amount and time, and since the use condition of the target item is affected by temperature, 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 list, so that the target item consumption amount in the future target time length is 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 S500 includes:
s511, if NUM '< NUM, the target item difference Δnum=num-NUM' is obtained.
S512, acquiring target time mt=t now +NUM’/NUM*SC。
S513, generating first prompt information according to the MT and the DeltaNUM.
And S514, pushing the first prompt information to the electronic equipment of the target user so that the target user supplements at least delta NUM target articles in the target equipment before MT.
Specifically, if NUM' < NUM, it indicates that the target article reserve is insufficient, according to 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) is obtained, and by pushing the first 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 the total consumption of the target article.
Further, if the rate of change of the temperature change characteristic within the target time window meets the standard rate of change, the time when the target item is consumed can be calculated according to the remaining amount of the target item and the consumption of the target item.
In an exemplary embodiment of the present invention, the step S500 includes:
s521, if NUM '< NUM, the target item difference Δnum=num-NUM' is obtained.
S522, acquisition target time mt=t now +β_num'/num_sc; where β is the adjustment coefficient, β=bt/(Σ) m-1 j＝ 1 T j ) /(m-1); BT is a preset standard rate of change.
S523, generating prompt information according to MT and DeltaNUM;
and S524, pushing the first prompt information to the electronic equipment of the target user so that the target user supplements at least delta NUM target articles in the target equipment before MT.
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.
Further, BT may optionally be in the range of 1-5, preferably bt=1.
In an exemplary embodiment of the invention, the data processing device comprises a server and a collecting device; the acquisition device is connected with a temperature sensor, and the temperature sensor is arranged in a target area corresponding to the target equipment; the steps S100-S500 are performed by the server.
The acquisition device is used for executing the following steps:
s110, acquiring a target temperature H of the current time from the temperature sensor every first set time.
Specifically, the selectable range of the first set time is 0.5s-10s, and preferably, the first set time is 1s.
S120, acquiring comparative temperature information B= (BW, BT); wherein BW is the comparison temperature corresponding to H; BT is the time the BW was obtained.
S130, performing temperature judgment processing on the H.
The temperature determination process includes the steps of:
s131, if the I H-BW I is not less than deltaT, entering step S132; otherwise, ending the current temperature judgment processing; wherein, deltaT is a preset target temperature difference.
S132, transmitting target information sx= (H, T) to the server now )。
S133, acquiring bw=h and bt=t now 。
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 and the current time, and the temperature condition of the area can be primarily judged.
Further, in |H-A m When the temperature is equal to or greater than DeltaT, the temperature (H) acquired at the current time and the current time (T now ) And updating the historical temperature information corresponding to the H in the historical temperature information so as to compare the latest temperature acquired next time with the temperature in the target information uploaded this time.
After receiving SX, the server is configured to perform the following steps:
s600, if H is more than or equal to YT, outputting second prompt information; the second prompt message comprises H; 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 ℃.
Further, the preset target temperature difference may be selected from the range of 3 ℃ to 10 ℃, and preferably, the preset target temperature difference is 5 ℃.
In an exemplary embodiment of the present invention, the server is further configured to, after receiving SX, perform the following steps:
s700, generating (m+1) th historical temperature information A according to SX m+1 ＝(W m+1 ，ET m+1 ，ST m+1 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein W is m+1 ＝H；ET m+1 ＝T now ；
ST m+1 ＝NULL。
S800, will A m+1 Added into A.
S900, obtain ST m ＝T now 。
Specifically, the temperature information is acquired every first set time, but only the target temperature at the current time uploaded by the acquisition device is added with the historical 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 historical temperature information list, A m Is started at ST m-1 The ending time is NULL, the target temperature information of the current time is added into a historical temperature information list, and A is indicated m The corresponding temperature duration is ended and changed to the temperature of the current time, thus ST m I.e. the current time, ET m+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 present invention, the first hint information includes at least NUM, NUM', MT, Δnum.
In actual implementation, if the temperature of the last uploading is close to YT, an alarm is easy to be missed.
So in order to solve the above-mentioned problem, in an exemplary embodiment of the present invention, the temperature determination process further includes the following steps after the step S130:
s131, if YT-H is more than or equal to DeltaMT, obtaining DeltaT=DeltaMT; Δmt is a preset temperature difference threshold.
Specifically, if YT-H 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 range 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 ℃.
S132, if Δmt > YT-H > 0, Δt=yt-H is obtained.
Specifically, if ΔMT > YT-H > 0, it indicates that the current temperature is relatively close to the preset temperature threshold, if the preset temperature difference threshold is still used as the target temperature difference, the target information will not be sent to the server when the temperature judgment processing is performed, and an alarm missing report situation may occur. Therefore, in this case, Δt is set to YT-H 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 missing alarm.
S133, if YT-H is less than or equal to 0, Δt=0 is obtained.
Specifically, if YT-H 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 this embodiment, if YT-H is less than or equal to 0, Δt=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 invention, the server is further adapted to perform the steps of:
s300, if the number of the continuously received target information reaches a preset number threshold value in the target time window, outputting third prompt information; the third hint information includes an amount of continuous receipt of the target information.
Specifically, if the number of the target information uploaded in the target time window reaches a preset number threshold, it indicates that the temperature change of the area where the temperature sensor is located in a short time is frequent, and although the temperature does not reach the preset temperature threshold, attention is required, so that a third 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.
The embodiment of the invention also provides a device monitoring device, which is characterized by comprising:
a historical temperature information list obtaining module, configured to obtain a historical temperature information list a= (a) corresponding to the target device in the target time window at intervals of a set time length 1 ，A 2 ，…，A i ，…，A m )，i＝1，2，…，m；A i ＝(W i ，ET i ，ST i ). Wherein m is the number of the historical temperature information corresponding to the target equipment, A i The i-th historical temperature information corresponding to the target equipment is obtained; ET (electric T) i Is A i Corresponding start time, ST i Is A i Corresponding end time, W i To be at ET i To ST i The ambient temperature in the target area corresponding to the target device during the time period; the ending time of the target time window is the current time T now ；ST m ＝NULL。
An ambient temperature change feature list generating module, configured to generate, according to a, a temperature change feature list t= (T) corresponding to the target device 1 ，T 2 ，…，T j ，…，T m-1 ) The method comprises the steps of carrying out a first treatment on the surface of the j=1, 2, …, m-1; wherein T is j Is the j-th temperature change characteristic in T;T j ＝(W j+1 -W j )/(ST j -ET j )。
and the target article consumption acquisition module is used for acquiring the target article consumption NUM of the target equipment in the future target time length SC according to T.
And the target article remaining amount acquisition module acquires the current target article remaining amount NUM' in the target equipment.
And the prompt information output module is used for outputting first prompt information if NUM' < NUM.
Embodiments of the present invention also provide a non-transitory computer readable storage medium that may be disposed in an electronic device to store at least one instruction or at least one program for implementing one of the methods embodiments, the at least one instruction or the at least one program being loaded and executed by the processor to implement the methods provided by the embodiments described above.
Embodiments of the present invention also provide an electronic device comprising a processor and the aforementioned non-transitory computer-readable storage medium.
Embodiments of the present invention also provide a computer program product comprising program code for causing an electronic device to carry out the steps of the method according to the various exemplary embodiments of the invention as described in the specification, when said program product is run on the electronic device.
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 (10)
1. The equipment monitoring method is characterized by being applied to a data processing device;
the method comprises the following steps:
S100，every set time length, acquiring a history temperature information list A= (A) corresponding to the target equipment in a target time window 1 ，A 2 ，…，A i ，…，A m )，i＝1，2，…，m；A i ＝(W i ，ET i ，ST i ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein m is the number of the historical temperature information corresponding to the target equipment, A i The i-th historical temperature information corresponding to the target equipment is obtained; ET (electric T) i Is A i Corresponding start time, ST i Is A i Corresponding end time, W i To be at ET i To ST i The ambient temperature in the target area corresponding to the target device during the time period; the ending time of the target time window is the current time T now ；ST m ＝NULL；
S200, according to A, generating a temperature change characteristic list T= (T) corresponding to the target equipment 1 ，T 2 ，…，T j ，…，T m-1 ) The method comprises the steps of carrying out a first treatment on the surface of the j=1, 2, …, m-1; wherein T is j Is the j-th temperature change characteristic in T; t (T) j ＝(W j+1 -W j )/(ST j -ET j )；
S300, acquiring a target object consumption NUM of target equipment in a future target time length SC according to T;
s400, acquiring the current target article residual quantity NUM' in the target equipment;
s500, if NUM' < NUM, outputting first prompt information.
2. The device monitoring method according to claim 1, wherein the step S300 includes:
s310, acquiring a historical target object consumption list L= (L) corresponding to the target device 1 ，L 2 ，…，L j ，…，L m-1 )；L j Is A j Consumption of the target object from a start time to an end time of the corresponding temperature;
s320, according to L, acquiring a historical target object consumption rate list V= (V) corresponding to the target device 1 ，V 2 ，…，V j ，…，V m-1 ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein V is j Is A j Consumption rate of target object from start time to end time of corresponding temperature, V j ＝L j /(ST j -ET j )；
S330, according to T and V, acquiring a first target article consumption NUM of the target equipment in a future target time length SC; wherein num= (Σ) m-1 j＝1 T j )/(m-1)*(∑ m-1 j＝1 V j )/(m-1)*SC。
3. The device monitoring method according to claim 1, wherein the step S500 includes:
s511, if NUM '< NUM, acquiring a target article difference Δnum=num-NUM';
s512, acquiring target time mt=t now +NUM’/NUM*SC；
S513, generating first prompt information according to the MT and the delta NUM;
and S514, pushing the first prompt information to the electronic equipment of the target user so that the target user supplements at least delta NUM target articles in the target equipment before MT.
4. The device monitoring method according to claim 1, wherein the step S500 includes:
s521, if NUM '< NUM, acquiring a target article difference Δnum=num-NUM';
s522, acquisition target time mt=t now +β_num'/num_sc; where β is the adjustment coefficient, β=bt/(Σ) m-1 j＝1 T j ) /(m-1); BT is a preset standard change rate;
s523, generating first prompt information according to MT and DeltaNUM;
and S524, pushing the first prompt information to the electronic equipment of the target user so that the target user supplements at least delta NUM target articles in the target equipment before MT.
5. The device monitoring method of claim 1, wherein the data processing means comprises a server and a collection means; the acquisition device is connected with a temperature sensor, and the temperature sensor is arranged in a target area corresponding to the target equipment; the steps S100-S500 are executed by the server;
the acquisition device is used for executing the following steps:
s110, acquiring a target temperature H of the current time from the temperature sensor at intervals of a first set time;
s120, acquiring comparative temperature information B= (BW, BT); wherein BW is the comparison temperature corresponding to H; BT is the time when BW was obtained;
s130, performing temperature judgment processing on H;
the temperature determination process includes the steps of:
s131, if the I H-BW I is not less than deltaT, entering step S132; otherwise, ending the current temperature judgment processing; wherein deltat is a preset target temperature difference;
s132, transmitting target information sx= (H, T) to the server now )；
S133, acquiring bw=h and bt=t now ；
After receiving SX, the server is configured to perform the following steps:
s600, if H is more than or equal to YT, outputting second prompt information; the second prompt message comprises H; YT is a preset temperature threshold.
6. The device monitoring method according to claim 1, wherein the duration of the target time window ranges from 1h to 5h.
7. The device monitoring method according to claim 3 or 4, wherein the first hint information includes at least NUM, NUM', MT, Δnum.
8. An appliance monitoring apparatus, comprising:
historical temperature information list acquisition moduleA block, configured to acquire a history temperature information list a= (a) corresponding to the target device within the target time window at intervals of a set time length 1 ，A 2 ，…，A i ，…，A m )，i＝1，2，…，m；A i ＝(W i ，ET i ，ST i ) The method comprises the steps of carrying out a first treatment on the surface of the Wherein m is the number of the historical temperature information corresponding to the target equipment, A i The i-th historical temperature information corresponding to the target equipment is obtained; ET (electric T) i Is A i Corresponding start time, ST i Is A i Corresponding end time, W i To be at ET i To ST i The ambient temperature in the target area corresponding to the target device during the time period; the ending time of the target time window is the current time T now ；ST m ＝NULL；
An ambient temperature change feature list generating module, configured to generate, according to a, a temperature change feature list t= (T) corresponding to the target device 1 ，T 2 ，…，T j ，…，T m-1 ) The method comprises the steps of carrying out a first treatment on the surface of the j=1, 2, …, m-1; wherein T is j Is the j-th temperature change characteristic in T; t (T) j ＝(W j+1 -W j )/(ST j -ET j )；
A target article consumption acquisition module, configured to acquire, according to T, a target article consumption NUM of the target device within a target time length SC in the future;
a target article remaining amount acquisition module for acquiring the current target article remaining amount NUM' in the target equipment;
and the prompt information output module is used for outputting first prompt information if NUM' < NUM.
9. A non-transitory computer readable storage medium having stored therein at least one instruction or at least one program loaded and executed by a processor to implement the method of any one of claims 1-7.
10. An electronic device comprising a processor and the non-transitory computer readable storage medium of claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311125433.5A CN117148798A (en) | 2023-09-01 | 2023-09-01 | Equipment monitoring method and device, storage medium and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311125433.5A CN117148798A (en) | 2023-09-01 | 2023-09-01 | Equipment monitoring method and device, storage medium and electronic equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117148798A true CN117148798A (en) | 2023-12-01 |
Family
ID=88909565
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311125433.5A Pending CN117148798A (en) | 2023-09-01 | 2023-09-01 | Equipment monitoring method and device, storage medium and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117148798A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107800651A (en) * | 2017-10-31 | 2018-03-13 | 广东欧珀移动通信有限公司 | Closing application program method, apparatus, storage medium and electronic equipment |
| CN108694271A (en) * | 2017-03-31 | 2018-10-23 | 通用电气公司 | Combustion gas turbine allocates optimization system and method and non-transitory computer-readable medium |
| KR20200011202A (en) * | 2018-07-24 | 2020-02-03 | 주식회사 인코어드 테크놀로지스 | A System For Managing A Demand Respond With A Scheduling Function |
| CN114531374A (en) * | 2022-02-25 | 2022-05-24 | 平安国际智慧城市科技股份有限公司 | Network monitoring method, device, equipment and storage medium |
| CN116185783A (en) * | 2023-04-24 | 2023-05-30 | 山东溯源安全科技有限公司 | Monitoring method and device of electronic equipment, electronic equipment and storage medium |
| CN116414663A (en) * | 2023-04-24 | 2023-07-11 | 山东溯源安全科技有限公司 | Capacity expansion prompting method, device and storage medium based on capacity use prediction |
| CN116414662A (en) * | 2023-04-24 | 2023-07-11 | 山东溯源安全科技有限公司 | Storage space expansion prompting method and device, electronic equipment and storage medium |
-
2023
- 2023-09-01 CN CN202311125433.5A patent/CN117148798A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108694271A (en) * | 2017-03-31 | 2018-10-23 | 通用电气公司 | Combustion gas turbine allocates optimization system and method and non-transitory computer-readable medium |
| CN107800651A (en) * | 2017-10-31 | 2018-03-13 | 广东欧珀移动通信有限公司 | Closing application program method, apparatus, storage medium and electronic equipment |
| KR20200011202A (en) * | 2018-07-24 | 2020-02-03 | 주식회사 인코어드 테크놀로지스 | A System For Managing A Demand Respond With A Scheduling Function |
| CN114531374A (en) * | 2022-02-25 | 2022-05-24 | 平安国际智慧城市科技股份有限公司 | Network monitoring method, device, equipment and storage medium |
| CN116185783A (en) * | 2023-04-24 | 2023-05-30 | 山东溯源安全科技有限公司 | Monitoring method and device of electronic equipment, electronic equipment and storage medium |
| CN116414663A (en) * | 2023-04-24 | 2023-07-11 | 山东溯源安全科技有限公司 | Capacity expansion prompting method, device and storage medium based on capacity use prediction |
| CN116414662A (en) * | 2023-04-24 | 2023-07-11 | 山东溯源安全科技有限公司 | Storage space expansion prompting method and device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10316499B2 (en) | Freeze prediction system | |
| JP5270315B2 (en) | Automatic meter reading method, automatic meter reading system, automatic meter reading device, and smart meter | |
| JP2016522467A5 (en) | ||
| CN104537438B (en) | A kind of prediction of peak of power consumption and monitoring method | |
| JP6678824B2 (en) | Unsteady detection device, unsteady detection system, and unsteady detection method | |
| CN102355381A (en) | Method and system for predicting flow of self-adaptive differential auto-regression moving average model | |
| KR101573296B1 (en) | Prediction method of abnormal data, and a computer-readable storege medium having program to perform the same | |
| KR101941854B1 (en) | System and method of estimating load with null data correction | |
| CN116185783B (en) | Monitoring method and device of electronic equipment, electronic equipment and storage medium | |
| CN102531121A (en) | Optimum input forecast system of water treatment coagulant and forecast method | |
| CN113868953B (en) | Multi-unit operation optimization method, device and system in industrial system and storage medium | |
| TW201926041A (en) | Equipment maintenance forecasting system and operation method thereof | |
| CN112491668A (en) | Intelligence house thing networking safety monitoring device | |
| CN111025919B (en) | Intelligent temperature control equipment control method and device, server and storage medium | |
| CN115236469A (en) | Online monitoring method, system, medium and equipment for unattended transformer substation | |
| CN117148798A (en) | Equipment monitoring method and device, storage medium and electronic equipment | |
| CN114254833A (en) | Reservoir water level prediction and scheduling method based on multiple linear regression and meteorological data | |
| US20160275407A1 (en) | Diagnostic device, estimation method, non-transitory computer readable medium, and diagnostic system | |
| CN111956065B (en) | Cleaning reminding method and device, electric kettle and storage medium | |
| CN111948534B (en) | Generator state early warning method and system | |
| CN116847223A (en) | Temperature monitoring system | |
| CN116914194A (en) | Cloud-coordinated fuel cell residual service life remote monitoring method | |
| CN109740797B (en) | Power equipment defect event early warning method based on conditional probability | |
| US11463849B2 (en) | Data processing device, data analyzing device, data processing system and method for processing data | |
| CN116895134A (en) | Hydropower station downstream water level sudden rise early warning method and system based on 5G technology |
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 |