CN115265643A - Warehouse cable monitoring terminal and method - Google Patents
Warehouse cable monitoring terminal and method Download PDFInfo
- Publication number
- CN115265643A CN115265643A CN202210712829.9A CN202210712829A CN115265643A CN 115265643 A CN115265643 A CN 115265643A CN 202210712829 A CN202210712829 A CN 202210712829A CN 115265643 A CN115265643 A CN 115265643A
- Authority
- CN
- China
- Prior art keywords
- humidity
- cable
- real
- humidity data
- immersion
- 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.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 98
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000001514 detection method Methods 0.000 claims abstract description 179
- 238000007654 immersion Methods 0.000 claims abstract description 142
- 230000002159 abnormal effect Effects 0.000 claims abstract description 86
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 63
- 230000008859 change Effects 0.000 claims description 29
- 238000006243 chemical reaction Methods 0.000 claims description 12
- 238000012806 monitoring device Methods 0.000 claims description 11
- 230000000694 effects Effects 0.000 abstract description 7
- 238000002791 soaking Methods 0.000 description 39
- 230000015654 memory Effects 0.000 description 16
- 238000007726 management method Methods 0.000 description 12
- 239000002609 medium Substances 0.000 description 10
- 238000010586 diagram Methods 0.000 description 8
- 238000004458 analytical method Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 7
- 239000004020 conductor Substances 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 230000001960 triggered effect Effects 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 230000010355 oscillation Effects 0.000 description 3
- 238000005096 rolling process Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000003321 amplification Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000006056 electrooxidation reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012417 linear regression Methods 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 239000012120 mounting media Substances 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000010287 polarization Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
Abstract
The embodiment of the application discloses a warehouse cable monitoring terminal and a warehouse cable monitoring method. According to the technical scheme provided by the embodiment of the application, real-time humidity data and historical humidity data of the current coiled cable are input into a pre-constructed humidity data prediction model, when the humidity prediction result exceeds a set humidity threshold value, a water immersion abnormity early warning prompt of the current coiled cable is generated, and the real-time position information of the current coiled cable is positioned through a positioning module; and reporting the abnormal immersion early warning prompt and the real-time position information of the current coiled cable to a system monitoring background, awakening an immersion detection module to perform immersion detection, and reporting immersion fault warning information and the real-time position information of the current coiled cable to the system monitoring background when the detection electrode is judged to be immersed based on an immersion detection signal. By adopting the technical means, the storage safety of the coiled cables can be improved, the water immersion condition of the coiled cables is avoided, and the storage management effect of the coiled cables is optimized.
Description
Technical Field
The embodiment of the application relates to the technical field of cables, in particular to a warehouse cable monitoring terminal and method.
Background
Currently, in a cable storage scene, most cables are stored in a warehouse in a form of being wound on a reel. In order to avoid the cable condition of soaking appearing depositing in the warehouse, can be with the head and the tail both ends shutoff of dish dress cable to this prevents that water from getting into inside the cable conductor from cable conductor head and the tail both ends, avoids the cable damage of soaking. However, due to the complex storage environment of the cable, the simple blocking structure is difficult to prevent water vapor from entering the cable when the storage environment is wet. Because the dish dress cable of storage is numerous in the warehouse, when the cable conductor the condition of soaking appearing, the warehouse pipe personnel are difficult to in time discover, and then lead to the cable conductor condition of soaking to further worsen, cause the unnecessary loss.
Disclosure of Invention
The embodiment of the application provides a storage cable monitoring terminal and a method, which can predict abnormal water immersion in time, perform positioning prompt of abnormal early warning, facilitate warehouse management personnel to know the position of the abnormal early warning in time, and solve the problem of abnormal early warning of water immersion of how to perform storage coil cables.
In a first aspect, an embodiment of the present application provides a storage cable monitoring terminal, including:
the storage cable monitoring terminal is arranged at the head end and the tail end of the coiled cable and comprises a processor, a humidity sensor, a positioning module and a water immersion detection module;
humidity transducer is used for gathering present dish dress cable reporting the real-time humidity data to the processor;
the processor is used for receiving the real-time humidity data reported by the humidity sensor, inputting the real-time humidity data and the historical humidity data of the current coiled cable into a pre-constructed humidity data prediction model, outputting a humidity prediction result of the current coiled cable, generating an abnormal pre-warning prompt of water immersion of the current coiled cable when the humidity prediction result exceeds a set humidity threshold value, positioning the real-time position information of the current coiled cable through the positioning module, reporting the abnormal pre-warning prompt of water immersion and the real-time position information of the current coiled cable to a system monitoring background, and awakening the water immersion detection module to carry out water immersion detection;
the immersion detection module comprises a detection electrode, a signal generator, a transformer, a conversion circuit and a comparator, wherein the output end of the signal generator is connected with one end of a primary coil of the transformer, the signal generator is used for outputting a low-frequency alternating current signal, the other end of the primary coil of the transformer is connected with the input end of the conversion circuit, two ends of a secondary coil of the transformer are used for being connected with the detection electrode when immersion is monitored, the conversion circuit is used for converting the low-frequency alternating current signal into a direct current voltage signal and outputting the direct current voltage signal to the same-phase end of the comparator, an immersion detection signal is output from the output end of the comparator, and the immersion detection signal is reported to the processor;
the processor is further used for receiving the submergence detection signal, and reporting submergence fault alarm information and the real-time position information of the current coiled cable to the system monitoring background when the detection electrode is judged to be submerged based on the submergence detection signal.
Further, the processor is specifically configured to determine that the detection electrode is not immersed when the immersion detection signal is a low-level signal, and determine that the detection electrode is immersed when the immersion detection signal is a high-level signal.
Further, the processor is specifically configured to determine an influence coefficient of the real-time humidity data and historical humidity data of the current coiled cable on the humidity prediction result, where the influence coefficient is set according to actual association conditions of the humidity data of different time nodes and the humidity prediction result; and calculating to obtain a humidity prediction result of the current coiled cable by using the humidity data prediction model based on the real-time humidity data, the historical humidity data and the corresponding influence coefficient.
Further, the processor is further configured to compare the real-time humidity data with historical humidity data, determine humidity change data, and report a humidity change prompt to the system monitoring background when the humidity change data reaches a set change threshold.
In a second aspect, an embodiment of the present application provides a warehouse cable monitoring method applied to the processor according to the first aspect, the warehouse cable monitoring method including:
receiving real-time humidity data reported by a humidity sensor, inputting the real-time humidity data and historical humidity data of a current coiled cable into a pre-constructed humidity data prediction model, outputting a humidity prediction result of the current coiled cable, generating an abnormal water immersion early warning prompt of the current coiled cable when the humidity prediction result exceeds a set humidity threshold value, and positioning real-time position information of the current coiled cable through a positioning module;
reporting the flooding abnormity early warning prompt and the real-time position information of the current coiled cable to a system monitoring background, and awakening a flooding detection module to perform flooding detection;
and receiving a submergence detection signal reported by a submergence detection module, and reporting submergence fault alarm information and the real-time position information of the current coiled cable to the system monitoring background when the detecting electrode is judged to be submerged based on the submergence detection signal.
Further, after receiving the flooding detection signal reported by the flooding detection module, the method further includes:
and when the immersion detection signal is a high level signal, judging that the detection electrode is immersed.
Further, the step of inputting the real-time humidity data and the historical humidity data of the current coiled cable into a pre-constructed humidity data prediction model and outputting a humidity prediction result of the current coiled cable includes:
determining the influence coefficient of the real-time humidity data and the historical humidity data of the current coiled cable on the humidity prediction result, wherein the influence coefficient is set according to the actual correlation condition of the humidity data of different time nodes and the humidity prediction result;
and calculating to obtain a humidity prediction result of the current coiled cable by using the humidity data prediction model based on the real-time humidity data, the historical humidity data and the corresponding influence coefficient.
Further, after receiving the real-time humidity data reported by the humidity sensor, the method further includes:
comparing the real-time humidity data with historical humidity data, determining humidity change data, and reporting a humidity change prompt to the system monitoring background when the humidity change data reaches a set change threshold.
In a third aspect, embodiments of the present application provide a warehouse cable monitoring device, configured to perform the warehouse cable monitoring method according to the second aspect, the warehouse cable monitoring device including:
the early warning module is used for receiving real-time humidity data reported by a humidity sensor, inputting the real-time humidity data and historical humidity data of the current coiled cable into a pre-constructed humidity data prediction model, outputting a humidity prediction result of the current coiled cable, generating an abnormal early warning prompt of water immersion of the current coiled cable when the humidity prediction result exceeds a set humidity threshold value, and positioning real-time position information of the current coiled cable through the positioning module;
the reporting module is used for reporting the abnormal immersion early warning prompt and the real-time position information of the current coiled cable to a system monitoring background and awakening the immersion detection module to carry out immersion detection;
and the alarm module is used for receiving the submergence detection signal reported by the submergence detection module, and reporting submergence fault alarm information and the real-time position information of the current coiled cable to the system monitoring background when the detecting electrode is judged to be submerged based on the submergence detection signal.
In a fourth aspect, embodiments of the present application provide a storage medium containing computer-executable instructions for performing the warehouse cable monitoring method as described in the second aspect when executed by a computer processor.
The method comprises the steps of receiving real-time humidity data reported by a humidity sensor, inputting the real-time humidity data and historical humidity data of a current coiled cable into a pre-constructed humidity data prediction model, outputting a humidity prediction result of the current coiled cable, generating an abnormal water immersion early warning prompt of the current coiled cable when the humidity prediction result exceeds a set humidity threshold value, and positioning real-time position information of the current coiled cable through a positioning module; reporting the abnormal immersion early warning prompt and the real-time position information of the current coiled cable to a system monitoring background, and awakening an immersion detection module to carry out immersion detection; and receiving a submergence detection signal reported by the submergence detection module, and reporting submergence fault alarm information and real-time position information of the current coiled cable to a system monitoring background when the detecting electrode is judged to be submerged based on the submergence detection signal. By adopting the technical means, the abnormal water immersion of the coiled cable is accurately predicted, and the abnormal water immersion early warning is positioned and prompted, so that warehouse management personnel can timely know the abnormal early warning position. And carry out the abnormal accurate detection of soaking through the detection module that soaks, can promote the security of rolling up the storage of cable, avoid rolling up the cable condition of soaking, avoid user's unnecessary loss, optimize the storage management effect of rolling up the cable.
Drawings
Fig. 1 is a schematic diagram illustrating a warehouse cable monitoring terminal according to an embodiment of the present disclosure;
fig. 2 is a schematic structural connection diagram of a storage cable monitoring terminal according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of a method for monitoring a storage cable according to an embodiment of the present disclosure;
FIG. 4 is a flow chart of humidity prediction in accordance with one embodiment of the present application;
FIG. 5 is a schematic view of a structural connection of the submergence detecting module in the first embodiment of the present application;
fig. 6 is a schematic structural diagram of a storage cable monitoring device according to a second embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, specific embodiments of the present application will be described in detail with reference to the accompanying drawings. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be further noted that, for the convenience of description, only some but not all of the relevant portions of the present application are shown in the drawings. Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently, or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The first embodiment is as follows:
the embodiment of the application provides a warehouse cable monitoring terminal aims at carrying out abnormal early warning analysis of soaking through the real-time humidity data of coiled cable to when triggering abnormal early warning of soaking, through the real-time position information of positioning coiled cable, in order to report real-time position information and abnormal early warning suggestion of soaking to the system monitoring backstage in the lump. And timely prompting that the potential water immersion abnormity early warning risk occurs to the coiled cable at the corresponding position of the warehouse management personnel. And, through avoiding humidity transducer's misdetection, this application embodiment is through awakening up the detection module that soaks, through the accurate detection dish dress cable that detects of the detection module that soaks whether appear soaking unusual to carry out unusual warning when the soaking is unusual, guarantee the precision that soaks the unusual detection with this, guarantee the security of dish dress cable storage.
According to the warehouse cable monitoring terminal provided by the embodiment of the application, the warehouse cable monitoring terminal is arranged at the head end and the tail end of a coiled cable, and comprises a processor, a humidity sensor, a positioning module and a water immersion detection module; the humidity sensor is used for acquiring real-time humidity data of the current coiled cable and reporting the real-time humidity data to the processor; the processor is used for receiving the real-time humidity data reported by the humidity sensor, inputting the real-time humidity data and the historical humidity data of the current coiled cable into a pre-constructed humidity data prediction model, outputting a humidity prediction result of the current coiled cable, generating an abnormal pre-warning prompt of water immersion of the current coiled cable when the humidity prediction result exceeds a set humidity threshold value, positioning the real-time position information of the current coiled cable through the positioning module, reporting the abnormal pre-warning prompt of water immersion and the real-time position information of the current coiled cable to a system monitoring background, and awakening the water immersion detection module to carry out water immersion detection; the immersion detection module comprises a detection electrode, a signal generator, a transformer, a conversion circuit and a comparator, wherein the output end of the signal generator is connected with one end of a primary coil of the transformer, the signal generator is used for outputting a low-frequency alternating current signal, the other end of the primary coil of the transformer is connected with the input end of the conversion circuit, two ends of a secondary coil of the transformer are used for being connected with the detection electrode when immersion is monitored, the conversion circuit is used for converting the low-frequency alternating current signal into a direct current voltage signal and then outputting the direct current voltage signal to the same-phase end of the comparator, an immersion detection signal is output from the output end of the comparator, and the immersion detection signal is reported to the processor; the processor is further used for receiving the submergence detection signal, and reporting submergence fault alarm information and the real-time position information of the current coiled cable to the system monitoring background when the detection electrode is judged to be submerged based on the submergence detection signal.
Fig. 1 is a schematic diagram illustrating a storage cable monitoring terminal according to an embodiment of the present disclosure, and referring to fig. 1, a cable 12 on a coiled cable 1 is coiled on a reel, and the storage cable monitoring terminal 11 is disposed at a tail end (i.e., a head end or a tail end) of the cable. The storage cable monitoring terminal 11 plugs the tail end of the cable through a corresponding plugging structure to prevent water vapor from entering the inside of the cable. And the cable conductor is through carrying out the unusual early warning suggestion of soaking to the unusual early warning of soaking of positioning disk dress cable in time and reporting, and the warning of informing warehouse pipe personnel is in time gone forward to solve latent soaking abnormal conditions, avoids the cable conductor soaking condition further worsen, causes unnecessary loss. On this basis, storage cable monitor terminal 11 is through awakening up the detection module that soaks, through the accurate detection of detection module that soaks dish cable whether appear soaking unusual to when triggering the unusual early warning of soaking, carry out unusual warning to the soaking that probably appears unusually, guarantee the precision and the detection efficiency that soak the unusual detection with this, guarantee the security of dish cable storage.
Illustratively, in a warehouse scenario for coiled cables, the coiled cable stack is stored in a warehouse. Each coiled cable is provided with the storage cable monitoring terminal so as to facilitate positioning prompt of abnormal water immersion early warning. When one coiled cable triggers the early warning of the abnormal submergence, the configured storage cable monitoring terminal reports the early warning prompt of the abnormal submergence and the real-time position information to the system monitoring background by detecting the potential abnormal condition and positioning the real-time position information. The warehouse management personnel can determine that the disc-mounted cable at the corresponding position is soaked abnormally and early-warning according to the soaking abnormity early-warning prompt through the system monitoring background, and can timely go to the station for processing the potential soaking abnormity. Meanwhile, the storage cable monitoring terminal wakes up the immersion detection module and gives an abnormal alarm when the immersion abnormality is detected, and the accuracy and the real-time performance of abnormal monitoring of the coiled cable are further improved.
Specifically, the warehousing cable monitoring terminal is connected with the head end and the tail end of the coiled cable, and the early warning and detection of the water immersion abnormity of the coiled cable are carried out in real time. It can be understood that, when the dish dress cable has the risk of soaking, storage cable monitor terminal can detect the real-time humidity data of the current head and the tail both ends of dish dress cable near environment through humidity transducer, and then soaks unusual early warning analysis. And when the submergence abnormity early warning prompt is triggered, the submergence abnormity early warning position of the warehouse coiled cable is positioned and reported by positioning the real-time position of the current coiled cable.
Referring to fig. 2, a schematic structural connection diagram of the warehousing cable monitoring terminal according to the embodiment of the present application is provided, wherein in the warehousing cable monitoring terminal, the processor 111 is respectively connected to the submergence detecting module 114, the humidity sensor 113 and the positioning module 112, and detects real-time humidity data of a current coiled cable through the humidity sensor, so as to perform submergence abnormity early warning prompt of the current coiled cable. And after the early warning of the abnormal flooding is triggered, the processor 111 locates the real-time position information of the current coiled cable through the locating module 112. And reporting the early warning prompt of the abnormal immersion and real-time position information to a monitoring background, and performing positioning prompt of the early warning position of the abnormal immersion. After the early warning of the abnormal water immersion is triggered, in order to timely and accurately detect the abnormal water immersion which may occur, the storage cable monitoring terminal wakes up the water immersion detection module 114 so as to quickly and accurately detect the abnormal water immersion, and timely alarms and prompts the storage manager to handle the abnormal water immersion.
Fig. 3 is a flowchart of a warehouse cable monitoring method according to an embodiment of the present disclosure, where the warehouse cable monitoring method provided in this embodiment may be executed by a processor of a warehouse cable monitoring terminal, and the following description will be given by taking the processor as an example of a main body for executing the warehouse cable monitoring method. Referring to fig. 3, the warehouse cable monitoring specifically includes:
s110, receiving real-time humidity data reported by a humidity sensor, inputting the real-time humidity data and historical humidity data of a current coiled cable into a pre-constructed humidity data prediction model, outputting a humidity prediction result of the current coiled cable, generating an abnormal immersion early warning prompt of the current coiled cable when the humidity prediction result exceeds a set humidity threshold, and positioning real-time position information of the current coiled cable through a positioning module;
s120, reporting the abnormal immersion early warning prompt and the real-time position information of the current coiled cable to a system monitoring background, and awakening an immersion detection module to carry out immersion detection;
s130, receiving a submergence detection signal reported by a submergence detection module, and reporting submergence fault alarm information and the real-time position information of the current coiled cable to the system monitoring background when the detecting electrode is judged to be submerged based on the submergence detection signal.
When the processor carries out the abnormal early warning of the soaking, the real-time humidity data acquired by the humidity sensor is acquired in real time so as to carry out the abnormal early warning analysis of the soaking. The humidity sensor can collect the humidity conditions at the head and tail ends of the coiled cable. It can be understood that when the real-time humidity data at the head end and the tail end of the coiled cable are gradually improved and a potential abnormal risk of water immersion exists, the real-time humidity data can be collected through the humidity sensor, and early warning analysis is performed based on the real-time humidity data and historical humidity data collected by the humidity sensor in a set period in the past.
Specifically, a pre-constructed humidity data prediction model is used to predict humidity data of the coiled cable in the next acquisition cycle, namely a humidity prediction result. Referring to fig. 4, the humidity prediction process includes:
s1101, determining influence coefficients of the real-time humidity data and historical humidity data of the current coiled cable on the humidity prediction result, wherein the influence coefficients are set according to actual association conditions of the humidity data of different time nodes and the humidity prediction result;
and S1102, calculating a humidity prediction result of the current coiled cable by using the humidity data prediction model based on the real-time humidity data, the historical humidity data and the corresponding influence coefficient.
And performing prediction analysis through a humidity data prediction model constructed by a linear regression mathematical model based on a machine learning algorithm. And inputting the real-time humidity data and a plurality of historical humidity data acquired in a plurality of past detection periods into a humidity data prediction model so as to predict humidity data corresponding to the next detection period, namely a humidity prediction result. And then according to the humidity prediction result, whether the potential abnormal water immersion risk exists in the next detection period of the coiled cable can be evaluated, and whether the early warning prompt of the abnormal water immersion is triggered or not is judged.
Wherein, the humidity data prediction model is as follows:
f(xi)＝w1x1+w2x2+...+wnxn
wherein [ w1,w2...,wn]And influence coefficients of the humidity data acquired for different detection periods on the humidity prediction result are set according to actual correlation conditions of the humidity data of different time nodes and the humidity prediction result. In general, the closer the detection period is to the current detection period, the higher its correlation with the humidity prediction result. According to the embodiment of the application, the influence coefficients of different detection periods (namely different time nodes) are configured according to the linear rule of historical humidity data. [ x ]1,x2...,xn]Humidity data collected for different detection periods (i.e., different time nodes), including real-time humidity data and a plurality of historical humidity data, f (x)i) The humidity prediction result is the corresponding humidity prediction value.
It can be understood that when the head end and the tail end of the coiled cable are immersed in water, the detected humidity data can exceed a certain humidity value. Based on the above, when the early warning analysis of the abnormal immersion is carried out, the processor compares the prediction result of the humidity data with the set humidity threshold value, when the prediction result of the humidity data exceeds the set humidity threshold value, the fact that the abnormal immersion possibly occurs in the coiled cable in the next detection period is indicated, and at the moment, the early warning prompt of the abnormal immersion of the current coiled cable is triggered.
The set humidity threshold value is determined according to actual humidity data when the head end and the tail end of the coiled cable are abnormally soaked. And when the prediction result of the humidity data reaches the set humidity threshold value, indicating that the coiled cable possibly has abnormal water immersion in the next detection period, and generating an abnormal water immersion early warning prompt of the current coiled cable based on the prediction result so as to perform abnormal water immersion early warning. And if the humidity data prediction result does not exceed the set humidity threshold, the potential water immersion risk of the coiled cable does not exist.
Further, due to the fact that the coiled cables are stacked in the warehouse, the warehouse manager is only reminded of the abnormal early warning of water immersion according to the abnormal early warning of water immersion, and the fact where the abnormal early warning of water immersion occurs in the warehouse is difficult to determine. Therefore, the embodiment of the application further positions the current position of the coiled cable through the positioning module, and obtains the real-time position information of the current coiled cable so as to perform positioning prompt of abnormal early warning of water immersion of the current coiled cable.
The positioning module can be a GPS positioning module, and GPS positioning information is acquired through the GPS positioning module and is used as real-time position information of the current coiled cable so as to perform abnormal early warning positioning. Optionally, the positioning module may further select a bluetooth, wiFi, or UWB wireless communication module, so as to obtain real-time position information of the current coiled cable based on an indoor positioning technology. The embodiment of the application does not make fixed limitation on the way of determining the real-time position information of the current coiled cable by the positioning module, and is not repeated herein.
Based on the determined real-time position information, the processor uploads the real-time position information and the generated abnormal immersion early warning prompt to a system detection background together, so that the positioning prompt of the abnormal immersion early warning of the current coiled cable is carried out.
Optionally, the system monitoring background is used for monitoring one end of the corresponding system, and the abnormal immersion early warning prompt can be marked in a pre-constructed three-dimensional warehouse model based on the abnormal immersion early warning prompt and real-time position information, so that warehouse management personnel can visually determine which position of the warehouse has the abnormal immersion early warning and accurately go to the corresponding position to process the potential abnormal immersion risk of the corresponding coiled cable.
Further, the current coiled cable is detected to trigger the abnormal pre-warning of the flooding, which indicates that the current coiled cable may have abnormal risk of flooding in a future detection period. Therefore, the possible future flooding abnormity of the current coiled cable can be accurately and quickly detected, and abnormity alarm can be timely carried out. This application embodiment detects the abnormality of soaking through awakening this detection module that soaks.
Referring to fig. 5, a schematic diagram of a structural connection of the immersion detection module according to the embodiment of the present application is provided, in which an output terminal of a signal generator 1143 is connected to one end of the primary coil of the transformer, and the signal generator 1142 is configured to output a low-frequency ac signal to the conversion circuit; the other end of the primary coil of the transformer 1142 is connected with the input end of the conversion circuit 1143, and the two ends of the secondary coil of the transformer 1142 are used for being connected with the detection electrode 1131 during the monitoring of water immersion; the converting circuit 1144 is configured to convert the low-frequency ac signal into a dc voltage signal and output the dc voltage signal to the non-inverting terminal of the comparator 1145, determine that the detection electrode is not immersed when the output terminal of the comparator 1145 outputs a low level, and compare the low level with the output terminal of the comparator 1145 to output an immersion detection signal. It can be understood that the low-frequency alternating current signals output by the detection device are different according to two different detection results of soaking and non-soaking, and the soaking detection signals obtained through comparison of the comparator are different. And then, whether the current coiled cable is abnormally soaked or not can be determined through the soaking detection signals with different levels.
More specifically, the signal generator may be a simple square wave signal generator, or a signal generator implemented by an operational amplifier and a comparator, or a signal generator implemented by a non-operational amplifier and a non-comparator. The signal generator implemented by the operational amplifier and the comparator may be specifically: the device comprises a phase-shifting sine wave signal generator, a Venturi bridge sine wave signal generator, an orthogonal sine wave signal generator, a rectangular pulse signal generator and a triangular wave signal generator; the signal generator implemented by the non-operational amplifier and the non-comparator may be specifically: the circuit comprises an oscillation circuit signal generator constructed by adopting triodes, an oscillation circuit signal generator realized by a time base circuit chip and an oscillation circuit signal generator realized by a logic circuit with an inverter.
The conversion circuit may be embodied as an absolute value circuit, a differential amplification circuit, and an integration filter circuit, which are connected in this order. The low-frequency alternating current signal is input into the input end of the absolute value circuit, and is output to the in-phase end of the comparator after passing through the differential amplifying circuit and the integral filter circuit.
Optionally, the detection electrode is connected to two ends of the secondary coil of the transformer, one end of the primary coil is connected to a power supply (4.5V) through a pull-up resistor, and the other end of the primary coil is connected to the output driving end of the signal generator. The signal generator is specifically a square wave signal generator which generates a square wave with the frequency of 50-100 Hz and the potential symmetrical to 4.5V of the power supply, and the square wave signal is coupled to the detection electrode through a transformer. When no water immersion occurs, the resistance at the two ends of the detection electrode is infinite, and the transformer is in an idle state. At the moment, the voltage at the connection part of the primary side of the transformer and the pull-up resistor fluctuates in a narrow range in an equal period relative to the power supply of 4.5V under the driving of a square wave signal. The fluctuation signal is adjusted by an absolute value circuit, a differential amplifying circuit and an integral filter circuit to be changed into a direct current voltage signal, the direct current voltage signal is output to the in-phase end of a comparator, the amplitude of the direct current voltage signal is lower than the reference voltage of the anti-phase end of the comparator, and the output end of the comparator is a low-level immersion detection signal. When the water immersion occurs, the resistance at two ends of the detection electrode is reduced, and the load of the transformer is increased. At the moment, the voltage at the connection of the primary side of the transformer and the pull-up resistor increases the fluctuation amplitude relative to the power supply of 4.5V. After the fluctuation signal is adjusted by an absolute value circuit, a differential amplifying circuit and an integral filter circuit, the output direct-current voltage signal is obviously improved compared with the signal without water. The voltage exceeds the reference voltage, the output level of the comparator is inverted, and the high-level submergence detection signal is output.
In the whole immersion detection process, because the detection electrode is always provided with a low-frequency alternating current signal, no direct current component exists, and therefore, the electrochemical corrosion and polarization phenomena can not be generated, the immersion detection is more accurate, and the error alarm can not be generated. Simultaneously through the detection signal that soaks of different levels also can accurate definite detection electrode take place to soak, and then whether accurate definite dish dress cable appears soaking unusually, optimize the unusual detection effect that soaks.
Based on the immersion detection signal detected by the immersion detection module, the processor judges whether the current coiled cable is abnormal in immersion or not through the immersion detection signal. When the processor monitors the abnormal immersion, the processor acquires the immersion detection signal in real time to analyze the abnormal immersion. It is understood that the flooding detection signal is a level signal of different level states. And under the condition of carrying out abnormal immersion analysis, the processor determines the level state of the immersion detection signal, judges that the detection electrode is not immersed when the immersion detection signal is a low level signal, and judges that the detection electrode is immersed when the immersion detection signal is a high level signal.
Optionally, the processor may be configured with a transistor and a relay, and the transistor and the relay are connected to the submergence detecting module, and when the submergence detecting signal output by the submergence detecting module is a low-level signal, the transistor is not driven to be conducted, so that the relay is switched to a conducting state. When the immersion detection signal output by the immersion detection module is a high level signal, the triode can be driven to be conducted so that the relay is switched to be in a conducting state. Based on the characteristic, the processor can accurately determine whether the detection electrode is immersed or not by detecting the on-state of the relay as an immersion detection signal.
Furthermore, as the detection electrode is arranged on the coiled cable, when the detection electrode is soaked, the current coiled cable can be determined to be abnormal in soaking, the processor generates soaking fault alarm information at the moment, the soaking fault alarm information and the real-time position information are reported to the system monitoring background together, and the fault condition of the system background alarm is reported.
It can be understood that, relative to the humidity sensor for detecting the humidity, the submergence detecting module adopted in the embodiment of the application can efficiently and accurately determine whether the coiled cable is submerged or not. And, compare the above-mentioned unusual early warning suggestion of soaking through real-time humidity data, further through real-time unusual detection and malfunction alerting of soaking on this basis, this application embodiment can realize unusual hierarchical monitoring and suggestion of soaking for warehouse management personnel definitely know the storage state of coiled cable, optimize warehouse management effect.
In one embodiment, the processor further compares the real-time humidity data with historical humidity data to determine humidity change data, and reports a humidity change prompt to the system monitoring background when the humidity change data reaches a set change threshold. It can be understood that if a certain time node processor finds that the humidity data of the coiled cable has large changes in a short time, even if the real-time humidity data does not exceed a set humidity threshold value, the condition needs to be prompted in time, and the water immersion abnormity is early warned in time, so that the water immersion protection effect is further optimized.
Based on this, by configuring a set change threshold, when the real-time humidity data is compared with the historical humidity data detected in the last detection period of the humidity sensor, and the humidity change data exceeds the set change threshold, it indicates that the humidity data of the current coiling cable has a large change in a short time, and the processor triggers a humidity change prompt, so that the storage safety of the current coiling cable is guaranteed.
The real-time humidity data reported by the humidity sensor is received, the real-time humidity data and the historical humidity data of the current coiled cable are input into a pre-constructed humidity data prediction model, the humidity prediction result of the current coiled cable is output, the abnormal water immersion early warning prompt of the current coiled cable is generated when the humidity prediction result exceeds a set humidity threshold value, and the real-time position information of the current coiled cable is positioned through the positioning module; reporting the abnormal immersion early warning prompt and the real-time position information of the current coiled cable to a system monitoring background, and awakening an immersion detection module to carry out immersion detection; and receiving a submergence detection signal reported by the submergence detection module, and reporting submergence fault alarm information and real-time position information of the current coiled cable to a system monitoring background when the detecting electrode is judged to be submerged based on the submergence detection signal. By adopting the technical means, the abnormal water immersion of the coiled cable is accurately predicted, and the positioning prompt of the abnormal water immersion early warning is carried out, so that warehouse management personnel can timely know the abnormal early warning position conveniently. And carry out the unusual accurate detection of soaking through the detection module that soaks, can promote the security of dish dress cable storage, avoid the dish dress cable condition of soaking, avoid user's unnecessary loss, optimize the storage management effect of dish dress cable.
Example two:
on the basis of the foregoing embodiments, fig. 6 is a schematic structural diagram of a storage cable monitoring device according to a second embodiment of the present application. Referring to fig. 6, the warehouse cable monitoring device provided in this embodiment specifically includes: the system comprises an early warning module 21, a reporting module 22 and an alarm module 23.
The early warning module is used for receiving real-time humidity data reported by a humidity sensor, inputting the real-time humidity data and historical humidity data of a current coiled cable into a pre-constructed humidity data prediction model, outputting a humidity prediction result of the current coiled cable, generating an abnormal water immersion early warning prompt of the current coiled cable when the humidity prediction result exceeds a set humidity threshold value, and positioning real-time position information of the current coiled cable through a positioning module;
the reporting module is used for reporting the abnormal immersion early warning prompt and the real-time position information of the current coiled cable to a system monitoring background and awakening the immersion detection module to carry out immersion detection;
and the alarm module is used for receiving the submergence detection signal reported by the submergence detection module, and reporting submergence fault alarm information and the real-time position information of the current coiled cable to the system monitoring background when the detecting electrode is judged to be submerged based on the submergence detection signal.
Specifically, the alarm module 23 determines that the detection electrode is not immersed when the immersion detection signal is a low level signal, and determines that the detection electrode is immersed when the immersion detection signal is a high level signal.
Specifically, the reporting module is configured to determine an influence coefficient of the real-time humidity data and historical humidity data of the current coiled cable on the humidity prediction result, where the influence coefficient is set according to actual association conditions of the humidity data of different time nodes and the humidity prediction result; and calculating to obtain a humidity prediction result of the current coiled cable by using the humidity data prediction model based on the real-time humidity data, the historical humidity data and the corresponding influence coefficient.
Specifically, the reporting module 21 is further configured to compare the real-time humidity data with historical humidity data, determine humidity change data, and report a humidity change prompt to the system monitoring background when the humidity change data reaches a set change threshold.
The real-time humidity data reported by the humidity sensor is received, the real-time humidity data and the historical humidity data of the current coiled cable are input into a pre-constructed humidity data prediction model, the humidity prediction result of the current coiled cable is output, the abnormal water immersion early warning prompt of the current coiled cable is generated when the humidity prediction result exceeds a set humidity threshold value, and the real-time position information of the current coiled cable is positioned through the positioning module; reporting the abnormal immersion early warning prompt and the real-time position information of the current coiled cable to a system monitoring background, and awakening an immersion detection module to carry out immersion detection; and receiving a submergence detection signal reported by the submergence detection module, and reporting submergence fault alarm information and real-time position information of the current coiled cable to a system monitoring background when judging that the detection electrode is submerged based on the submergence detection signal. By adopting the technical means, the abnormal water immersion of the coiled cable is accurately predicted, and the positioning prompt of the abnormal water immersion early warning is carried out, so that warehouse management personnel can timely know the abnormal early warning position conveniently. And carry out the unusual accurate detection of soaking through the detection module that soaks, can promote the security of dish dress cable storage, avoid the dish dress cable condition of soaking, avoid user's unnecessary loss, optimize the storage management effect of dish dress cable.
The storage cable monitoring device provided by the second embodiment of the application can be used for executing the storage cable monitoring method provided by the first embodiment of the application, and has corresponding functions and beneficial effects.
Example three:
an embodiment of the present application provides an electronic device, and with reference to fig. 7, the electronic device includes: a processor 31, a memory 32, a communication module 33, an input device 34, and an output device 35. The number of processors in the electronic device may be one or more, and the number of memories in the electronic device may be one or more. The processor, memory, communication module, input device, and output device of the electronic device may be connected by a bus or other means.
The memory 32 is used as a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the warehousing cable monitoring method according to any embodiment of the present application (for example, an early warning module, a reporting module, and an alarm module in the warehousing cable monitoring device). The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to use of the device, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory may further include memory located remotely from the processor, and these remote memories may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication module 33 is used for data transmission.
The processor 31 executes software programs, instructions and modules stored in the memory, so as to execute various functional applications and data processing of the equipment, that is, the storage cable monitoring method is implemented.
The input device 34 may be used to receive entered numeric or character information and to generate key signal inputs relating to user settings and function controls of the apparatus. The output device 35 may include a display device such as a display screen.
The electronic device provided by the embodiment can be used for executing the storage cable monitoring method provided by the embodiment one, and has corresponding functions and beneficial effects.
Example four:
embodiments of the present application also provide a storage medium containing computer-executable instructions that, when executed by a computer processor, are configured to perform a warehouse cable monitoring method, the warehouse cable monitoring method comprising: receiving real-time humidity data reported by a humidity sensor, inputting the real-time humidity data and historical humidity data of a current coiled cable into a pre-constructed humidity data prediction model, outputting a humidity prediction result of the current coiled cable, generating an abnormal water immersion early warning prompt of the current coiled cable when the humidity prediction result exceeds a set humidity threshold value, and positioning real-time position information of the current coiled cable through a positioning module; reporting the abnormal immersion early warning prompt and the real-time position information of the current coiled cable to a system monitoring background, and awakening an immersion detection module to carry out immersion detection; and receiving a submergence detection signal reported by a submergence detection module, and reporting submergence fault alarm information and the real-time position information of the current coiled cable to the system monitoring background when the detecting electrode is judged to be submerged based on the submergence detection signal.
Storage medium-any of various types of memory devices or storage devices. The term "storage medium" is intended to include: mounting media such as CD-ROM, floppy disk, or tape devices; computer system memory or random access memory such as DRAM, DDR RAM, SRAM, EDO RAM, lanbas (Rambus) RAM, etc.; non-volatile memory such as flash memory, magnetic media (e.g., hard disk or optical storage); registers or other similar types of memory elements, etc. The storage medium may also include other types of memory or combinations thereof. In addition, the storage medium may be located in a first computer system in which the program is executed, or may be located in a different second computer system connected to the first computer system through a network (such as the internet). The second computer system may provide program instructions to the first computer for execution. The term "storage medium" may include two or more storage media residing in different locations, e.g., in different computer systems connected by a network. The storage medium may store program instructions (e.g., embodied as a computer program) that are executable by one or more processors.
Of course, the storage medium provided in the embodiments of the present application includes computer-executable instructions, and the computer-executable instructions are not limited to the warehousing cable monitoring method described above, and may also perform related operations in the warehousing cable monitoring method provided in any embodiment of the present application.
The storage cable monitoring device, the storage medium, and the electronic device provided in the above embodiments may perform the storage cable monitoring method provided in any embodiment of the present application, and reference may be made to the storage cable monitoring method provided in any embodiment of the present application without detailed technical details described in the above embodiments.
The foregoing is considered as illustrative of the preferred embodiments of the invention and the technical principles employed. The present application is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present application has been described in more detail with reference to the above embodiments, the present application is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present application, and the scope of the present application is determined by the scope of the claims.
Claims (10)
1. The warehouse cable monitoring terminal is characterized by being arranged at the head end and the tail end of a coiled cable and comprising a processor, a humidity sensor, a positioning module and a water immersion detection module;
the humidity sensor is used for acquiring real-time humidity data of the current coiled cable and reporting the real-time humidity data to the processor;
the processor is used for receiving the real-time humidity data reported by the humidity sensor, inputting the real-time humidity data and the historical humidity data of the current coiled cable into a pre-constructed humidity data prediction model, outputting a humidity prediction result of the current coiled cable, generating an abnormal pre-warning prompt of water immersion of the current coiled cable when the humidity prediction result exceeds a set humidity threshold value, positioning the real-time position information of the current coiled cable through the positioning module, reporting the abnormal pre-warning prompt of water immersion and the real-time position information of the current coiled cable to a system monitoring background, and awakening the water immersion detection module to carry out water immersion detection;
the immersion detection module comprises a detection electrode, a signal generator, a transformer, a conversion circuit and a comparator, wherein the output end of the signal generator is connected with one end of a primary coil of the transformer, the signal generator is used for outputting a low-frequency alternating current signal, the other end of the primary coil of the transformer is connected with the input end of the conversion circuit, two ends of a secondary coil of the transformer are used for being connected with the detection electrode when immersion is monitored, the conversion circuit is used for converting the low-frequency alternating current signal into a direct current voltage signal and then outputting the direct current voltage signal to the same-phase end of the comparator, an immersion detection signal is output from the output end of the comparator, and the immersion detection signal is reported to the processor;
the processor is further used for receiving the submergence detection signal, and reporting submergence fault alarm information and the real-time position information of the current coiled cable to the system monitoring background when the detection electrode is judged to be submerged based on the submergence detection signal.
2. The storage cable monitoring terminal according to claim 1, wherein the processor is specifically configured to determine that the detection electrode is not immersed when the immersion detection signal is a low level signal, and determine that the detection electrode is immersed when the immersion detection signal is a high level signal.
3. The warehouse cable monitoring terminal according to claim 1, wherein the processor is specifically configured to determine an influence coefficient of the real-time humidity data and historical humidity data of a current coiled cable on the humidity prediction result, where the influence coefficient is set according to actual association conditions of humidity data of different time nodes and the humidity prediction result; and calculating to obtain a humidity prediction result of the current coiled cable by using the humidity data prediction model based on the real-time humidity data, the historical humidity data and the corresponding influence coefficient.
4. The storage cable monitoring terminal of claim 1, wherein the processor is further configured to compare the real-time humidity data with historical humidity data, determine humidity change data, and report a humidity change prompt to the system monitoring background when the humidity change data reaches a set change threshold.
5. A warehouse cable monitoring method applied to the processor according to any one of claims 1 to 4, the warehouse cable monitoring method comprising:
receiving real-time humidity data reported by a humidity sensor, inputting the real-time humidity data and historical humidity data of a current coiled cable into a pre-constructed humidity data prediction model, outputting a humidity prediction result of the current coiled cable, generating an abnormal water immersion early warning prompt of the current coiled cable when the humidity prediction result exceeds a set humidity threshold value, and positioning real-time position information of the current coiled cable through a positioning module;
reporting the abnormal immersion early warning prompt and the real-time position information of the current coiled cable to a system monitoring background, and awakening an immersion detection module to carry out immersion detection;
and receiving a submergence detection signal reported by a submergence detection module, and reporting submergence fault alarm information and the real-time position information of the current coiled cable to the system monitoring background when the detecting electrode is judged to be submerged based on the submergence detection signal.
6. The warehouse cable monitoring method according to claim 5, wherein after receiving the flooding detection signal reported by the flooding detection module, the method further comprises:
and when the submergence detection signal is a low-level signal, judging that the detection electrode is not submerged, and when the submergence detection signal is a high-level signal, judging that the detection electrode is submerged.
7. The warehouse cable monitoring method according to claim 5, wherein the step of inputting the real-time humidity data and the historical humidity data of the current coiled cable into a pre-constructed humidity data prediction model and outputting the humidity prediction result of the current coiled cable comprises the steps of:
determining the influence coefficient of the real-time humidity data and the historical humidity data of the current coiled cable on the humidity prediction result, wherein the influence coefficient is set according to the actual association condition of the humidity data of different time nodes and the humidity prediction result;
and calculating to obtain a humidity prediction result of the current coiled cable by using the humidity data prediction model based on the real-time humidity data, the historical humidity data and the corresponding influence coefficient.
8. The warehouse cable monitoring method according to claim 5, further comprising, after receiving the real-time humidity data reported by the humidity sensor:
comparing the real-time humidity data with historical humidity data, determining humidity change data, and reporting a humidity change prompt to the system monitoring background when the humidity change data reaches a set change threshold.
9. A warehouse cable monitoring device, wherein the warehouse cable monitoring device is configured to perform the warehouse cable monitoring method according to any one of claims 5 to 8, the warehouse cable monitoring device comprising:
the early warning module is used for receiving real-time humidity data reported by a humidity sensor, inputting the real-time humidity data and historical humidity data of the current coiled cable into a pre-constructed humidity data prediction model, outputting a humidity prediction result of the current coiled cable, generating an abnormal early warning prompt of water immersion of the current coiled cable when the humidity prediction result exceeds a set humidity threshold value, and positioning real-time position information of the current coiled cable through the positioning module;
the reporting module is used for reporting the abnormal immersion early warning prompt and the real-time position information of the current coiled cable to a system monitoring background and awakening the immersion detection module to carry out immersion detection;
and the alarm module is used for receiving the submergence detection signal reported by the submergence detection module, and reporting submergence fault alarm information and the real-time position information of the current coiled cable to the system monitoring background when the detecting electrode is judged to be submerged based on the submergence detection signal.
10. A storage medium containing computer executable instructions for performing the warehouse cable monitoring method as claimed in any one of claims 5 to 8 when executed by a computer processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210712829.9A CN115265643B (en) | 2022-06-22 | 2022-06-22 | Warehouse cable monitoring terminal and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210712829.9A CN115265643B (en) | 2022-06-22 | 2022-06-22 | Warehouse cable monitoring terminal and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115265643A true CN115265643A (en) | 2022-11-01 |
| CN115265643B CN115265643B (en) | 2024-08-23 |
Family
ID=83761279
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210712829.9A Active CN115265643B (en) | 2022-06-22 | 2022-06-22 | Warehouse cable monitoring terminal and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115265643B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR19990073136A (en) * | 1999-05-31 | 1999-10-05 | 이태선 | A maintenance system for a fiber cable connecting device |
| KR100565907B1 (en) * | 2004-11-04 | 2006-03-31 | 학교법인 한마학원 | Early warning system for humidity detection of communication cables |
| KR20190090267A (en) * | 2018-01-24 | 2019-08-01 | 전자부품연구원 | Sensor module for sensing immersion and water level and control method for the same |
| CN113406539A (en) * | 2021-05-06 | 2021-09-17 | 广州番禺电缆集团有限公司 | Operation monitoring method and device for intelligent cable connector |
| CN113566883A (en) * | 2021-07-23 | 2021-10-29 | 国网河南省电力公司检修公司 | Power cable monitoring method and system based on Internet of things and storage medium |
| CN113660552A (en) * | 2021-08-16 | 2021-11-16 | 中汽华晟(北京)科技有限公司 | Intelligent early warning system and method for power cable |
-
2022
- 2022-06-22 CN CN202210712829.9A patent/CN115265643B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR19990073136A (en) * | 1999-05-31 | 1999-10-05 | 이태선 | A maintenance system for a fiber cable connecting device |
| KR100565907B1 (en) * | 2004-11-04 | 2006-03-31 | 학교법인 한마학원 | Early warning system for humidity detection of communication cables |
| KR20190090267A (en) * | 2018-01-24 | 2019-08-01 | 전자부품연구원 | Sensor module for sensing immersion and water level and control method for the same |
| CN113406539A (en) * | 2021-05-06 | 2021-09-17 | 广州番禺电缆集团有限公司 | Operation monitoring method and device for intelligent cable connector |
| CN113566883A (en) * | 2021-07-23 | 2021-10-29 | 国网河南省电力公司检修公司 | Power cable monitoring method and system based on Internet of things and storage medium |
| CN113660552A (en) * | 2021-08-16 | 2021-11-16 | 中汽华晟(北京)科技有限公司 | Intelligent early warning system and method for power cable |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115265643B (en) | 2024-08-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102853871B (en) | Oil level monitoring method and system | |
| CN108919935A (en) | Monitoring method, device and equipment for power supply on server mainboard | |
| CN109905462A (en) | A kind of equipment health degree management system | |
| CN113191074B (en) | Machine room power supply parameter detection method for data center | |
| CN114650018B (en) | Self-adaptive heat dissipation method, heat dissipation device and heat dissipation system for power amplifier | |
| CN105916169A (en) | System and method of voice annunciation of signal strength, quality of service, and sensor status for wireless devices | |
| CN207318960U (en) | Remote vehicle monitoring device and system | |
| CN114994460A (en) | Cable insulation performance prediction device and method | |
| CN114777959A (en) | Cable trench state monitoring method and device, storage medium and terminal | |
| CN115267917A (en) | Storage monitoring device and method for coiled cable | |
| CN114895163A (en) | Cable inspection positioning device and method based on cable insulation performance | |
| CN115265643B (en) | Warehouse cable monitoring terminal and method | |
| CN109581948B (en) | Environment-friendly equipment monitoring device and environment-friendly equipment monitoring method | |
| CN115265642A (en) | Online humidity monitoring system and method for storage cable | |
| CN115331405A (en) | Cable water immersion abnormity positioning device and method based on indoor positioning | |
| US10054620B2 (en) | Method and data processing arrangement for determining the frequency, amplitude and attenuation of at least one output oscillation in an electrical energy supply network | |
| CN109633329B (en) | Fault detection method and device for multi-loop energy storage equipment, terminal equipment and medium | |
| CN115392380A (en) | Method and device for identifying abnormal data of partial discharge online monitoring and storage medium | |
| CN112649716B (en) | Method and device for detecting use safety of super capacitor | |
| CN115331397B (en) | Cable flooding abnormity early warning device and method based on prediction model | |
| CN111275938A (en) | Early warning method, device and equipment based on auxiliary equipment and storage medium | |
| CN114784576B (en) | Antitheft cable based on cable joint | |
| JP2019205313A (en) | Monitoring system | |
| CN114924171A (en) | Cable insulation performance fault early warning device and method | |
| CN118259168B (en) | Multi-point fault on-line detection system based on battery pack assembly operation test |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |