A management method and system for intelligent cable reel

Abstract

The present invention discloses a management method and system for an intelligent cable reel, the method comprising: acquiring sensor data of the intelligent cable reel; wherein the sensor data comprises device status information of the intelligent cable reel currently sensed by a fault sensing module arranged on the intelligent cable reel, cable status information of the intelligent cable reel currently sensed by a cable status sensing module, and location information of the intelligent cable reel currently sensed by a location sensing module; determining the management type of the intelligent cable reel according to the sensor data; wherein the management type comprises: fault sensing type, cable status sensing type, and storage management type of the intelligent cable reel; acquiring target data related to the management type; and reporting the target data to a user management terminal through a communication module according to a target reporting strategy; the present invention can realize multi-dimensional management of the cable reel and improve the intelligence level of the cable reel management.

Description

Technical Field

[0001] The present invention relates to the technical field of cable management, and in particular to a management method and system for an intelligent cable reel. Background Art

[0002] Cable reels (also called cable reels) are the only containers for cable materials such as power cables, overhead insulated wires and bundled insulated wires. Traditional technology mainly uses steel and wood structures, which are heavy and have low recycling value. Therefore, they are often discarded after completing their mission, resulting in a lot of waste. In order to solve this problem, the "steel + aluminum alloy" disassembly structure is often used to replace the traditional steel and wood structure, which has the characteristics of long service life, strong cable load and high recycling value.

[0003] The management of cable materials is mainly achieved through the management of cable reels. At present, the management research of cable reels is mainly in the storage aspect, such as analyzing the types of cable materials in the cable reels and classifying and storing the cable reels. The existing technology for the management of cable reels mainly relies on video monitoring and manual operation, with a low degree of intelligence, which is difficult to meet the intelligent development needs of cable reel management. Summary of the invention

[0004] In view of the problems existing in the prior art, an embodiment of the present invention provides a management method and system for an intelligent cable reel, which can effectively improve the intelligence level of cable reel management.

[0005] In a first aspect, an embodiment of the present invention provides a management method for an intelligent cable reel, comprising: the intelligent cable reel is provided with an intelligent processing module, a fault sensing module, a cable state sensing module, a position sensing module, a communication module, and a power supply module electrically connected to the intelligent processing module; the power supply module is used to supply power to the intelligent processing module; the management method is applied to the intelligent processing module, comprising:

[0006] Acquire sensor data of the intelligent cable reel; wherein the sensor data includes device status information of the intelligent cable reel currently sensed by the fault sensing module, cable status information of the intelligent cable reel currently sensed by the cable status sensing module, and location information of the intelligent cable reel currently sensed by the location sensing module;

[0007] Determine the management type of the intelligent cable reel according to the sensing data; wherein the management type includes: fault sensing type, cable status sensing type, and storage management type of the intelligent cable reel;

[0008] Acquiring target data related to the management type;

[0009] The target data is reported to the user management terminal through the communication module according to the target reporting strategy.

[0010] As an improvement of the above solution, the fault sensing module includes: a temperature sensor and a humidity sensor electrically connected to the intelligent processing module, and a power sensor electrically connected to the power module; the cable status sensing module includes: a three-axis acceleration sensor, a photoelectric transceiver sensor; the position sensing module includes: an RFID module, a Beidou positioning module; wherein the RFID module is used to store the equipment information of the intelligent cable reel;

[0011] The device status information includes: the temperature information of the cable of the intelligent cable reel during operation detected by the temperature sensor, the ambient humidity information outside the intelligent cable reel detected by the humidity sensor, and the power information of the power module detected by the power sensor;

[0012] The cable status information includes: acceleration information of the intelligent cable reel detected by the three-axis acceleration sensor, and indication information of whether the intelligent cable reel has a cable reeling behavior detected by the photoelectric transceiver sensor;

[0013] The location information includes: indoor location information of the smart cable reel detected by the RFID module, or outdoor location information of the smart cable reel detected by the Beidou positioning module.

[0014] As an improvement of the above solution, determining the management type of the intelligent cable reel according to the sensor data includes:

[0015] Determining whether the intelligent cable reel is in an abnormal state according to the device status information in the sensing data;

[0016] When the intelligent cable reel is in an abnormal state, determining that the management type of the intelligent cable reel includes a fault sensing type;

[0017] Determining whether the smart cable reel is in an indoor state according to the location information in the sensor data;

[0018] When the intelligent cable reel is in an indoor state, determining that the management type of the intelligent cable reel includes a storage management type;

[0019] Determining whether the intelligent cable reel is in a state of use according to the cable state information in the sensing data;

[0020] When the intelligent cable reel is in a used state, it is determined that the management type of the intelligent cable reel includes a cable state sensing type.

[0021] As an improvement of the above solution, before acquiring the sensor data of the intelligent cable reel, the method further includes:

[0022] Waking up the intelligent processing module in sleep mode according to the wake-up instruction sent by the user management terminal; or periodically waking up the intelligent processing module in sleep mode according to a preset time interval;

[0023] When the intelligent processing module wakes up, fault detection is performed on the temperature sensor, the humidity sensor, and the power sensor;

[0024] When at least one of the temperature sensor, the humidity sensor, and the power sensor fails, reporting first information indicating a cable reel sensor failure to the user management terminal;

[0025] When the temperature sensor, the humidity sensor, and the power sensor are all free from faults, the temperature sensor, the humidity sensor, and the power sensor are started to detect device status information.

[0026] As an improvement of the above solution, determining whether the intelligent cable reel is in an abnormal state according to the device status information in the sensing data includes:

[0027] Perform abnormality check on the real-time detected temperature information, environmental humidity information, and power information to determine whether there is abnormal data in the detected temperature information, environmental humidity information, and power information;

[0028] If so, determining that the intelligent cable reel is in an abnormal state;

[0029] If not, determining that the intelligent cable reel is in a normal state;

[0030] The acquiring of target data related to the management type includes:

[0031] When the intelligent cable reel is in an abnormal state, a target reporting strategy is determined according to the abnormality degree of the abnormal data, and the abnormal data is obtained as the target data at a time interval indicated by the target reporting strategy;

[0032] When the intelligent cable reel is in a normal state, the target reporting strategy is determined to be periodic reporting, and the detected temperature information, environmental humidity information, and power information within the current time period are obtained as the target data.

[0033] As an improvement of the above solution, the step of determining whether the intelligent cable reel is in a use state according to the cable state information in the sensing data includes:

[0034] When the acceleration information detected by the three-axis acceleration sensor changes, the photoelectric transceiver sensor is started to perform photoelectric signal detection to determine whether the intelligent cable reel has a cable reeling behavior;

[0035] When it is detected that the intelligent cable reel has a cable reeling behavior, determining that the intelligent cable reel is in a taking state;

[0036] When it is detected that the intelligent cable reel does not have a cable reeling behavior, determining that the intelligent cable reel is in a transport state;

[0037] The acquiring of target data related to the management type includes:

[0038] When the intelligent cable reel is in a state of being used, the cable surplus of the intelligent cable reel is calculated according to the acceleration information in a first set time period before the current moment, and the cable surplus is used as the target data.

[0039] As an improvement of the above solution, determining whether the intelligent cable reel is in an indoor state according to the location information in the sensing data includes:

[0040] When the location information is the outdoor location information of the intelligent cable reel detected by the Beidou positioning module, determining that the intelligent cable reel is in an outdoor state;

[0041] When the location information includes multiple signal strengths of the RFID module detected by multiple RFID readers, it is determined that the smart cable reel is in an indoor state;

[0042] The acquiring of target data related to the management type includes:

[0043] When the intelligent cable reel is in an outdoor state, the currently detected outdoor position information is used as the target data;

[0044] When the smart cable reel is in an indoor state, the indoor location information of the smart cable reel in the power warehouse is calculated according to multiple signal strengths of the RFID module detected by multiple RFID readers, and the indoor location information is used as the target data.

[0045] As an improvement of the above solution, the cable surplus of the intelligent cable reel is calculated according to the acceleration information in the first set time period before the current moment, including:

[0046] Performing Kalman filtering on the acceleration information within the first set time period;

[0047] According to the filtered acceleration information, the acceleration average value and the acceleration variance value are calculated;

[0048] Calculating a signal average value and a signal variance value according to the photoelectric signal detected by the photoelectric transceiver sensor within the first set time period;

[0049] Constructing a feature map based on a two-dimensional normal distribution according to the filtered acceleration information and the photoelectric signal within the first set time period, the acceleration average value, the acceleration variance value, the signal average value, and the signal variance value;

[0050] According to the feature graph, the cable margin is predicted by a pre-trained long short-term memory network to obtain the cable margin of the intelligent cable reel.

[0051] As an improvement of the above solution, a plurality of RFID readers are respectively arranged at different locations of the power warehouse; the indoor location information of the intelligent cable reel in the power warehouse is calculated according to a plurality of signal strengths of the RFID module detected by the plurality of RFID readers, including:

[0052] For each of the RFID reader / writers, construct a corresponding first signal strength timing waveform diagram according to the signal strength detected by the corresponding RFID reader / writer within a second set time period before the current moment;

[0053] Superimposing and splicing the first signal strength timing waveforms corresponding to the plurality of RFID readers to obtain a second signal strength timing waveform;

[0054] According to the second signal strength timing waveform, position recognition is performed by a pre-trained convolutional neural network to obtain the storage position of the intelligent cable reel in the power warehouse and the type of cable stored in the intelligent cable reel;

[0055] According to the storage position of the intelligent cable reel in the power warehouse, the indoor position information of the intelligent cable reel in the power warehouse is obtained.

[0056] In a second aspect, an embodiment of the present invention provides a management system for an intelligent cable reel, comprising: an intelligent cable reel, and a reel management device arranged on the intelligent cable reel; wherein the reel management device comprises: an intelligent processing module, a fault sensing module electrically connected to the intelligent processing module, a cable state sensing module, a position sensing module, a communication module, and a power supply module;

[0057] The power supply module is used to supply power to the intelligent processing module;

[0058] The intelligent processing module comprises:

[0059] A sensor data acquisition unit, used to acquire sensor data of the intelligent cable reel; wherein the sensor data includes device status information of the intelligent cable reel currently sensed by the fault sensing module, cable status information of the intelligent cable reel currently sensed by the cable status sensing module, and location information of the intelligent cable reel currently sensed by the location sensing module;

[0060] A management type determination unit, used to determine the management type of the intelligent cable reel according to the sensing data; wherein the management type includes: a fault sensing type, a cable status sensing type, and a storage management type of the intelligent cable reel;

[0061] A target data acquisition unit, used to acquire target data related to the management type;

[0062] The data reporting unit is used to report the target data to the user management terminal through the communication module according to the target reporting strategy.

[0063] The beneficial effect compared with the prior art is that: an intelligent processing module and a fault sensing module, a cable state sensing module, a position sensing module, a communication module, and a power supply module electrically connected to the intelligent processing module are set in the intelligent cable reel; wherein the power supply module is used to supply power to the intelligent processing module; the intelligent processing module is used to execute the following management method: obtaining the sensor data of the intelligent cable reel; wherein the sensor data includes the device state information of the intelligent cable reel currently sensed by the fault sensing module, the cable state information of the intelligent cable reel currently sensed by the cable state sensing module, and the position information of the intelligent cable reel currently sensed by the position sensing module; according to the sensor data, determining the management type of the intelligent cable reel; wherein the management type includes: the fault sensing type, the cable state sensing type, and the warehouse management type of the intelligent cable reel; obtaining target data related to the management type; and reporting the target data to the user management end through the communication module according to the target reporting strategy; the embodiment of the present invention can realize multi-dimensional management of the cable reel by combining multiple sensors set on the intelligent cable reel, thereby improving the intelligence level of cable reel management. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] In order to more clearly illustrate the technical solution of the present invention, the drawings used in the implementation mode will be briefly introduced below. Obviously, the drawings described below are only some implementation modes of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0065] Figure 1 is a schematic block diagram of an intelligent cable reel provided by an embodiment of the present invention;

[0066] Figure 2 is a flow chart of a management method of an intelligent cable reel provided by an embodiment of the present invention;

[0067] Figure 3It is a schematic diagram of the process of collecting and uploading sensor data of the intelligent cable reel provided by an embodiment of the present invention;

[0068] Figure 4 is a schematic block diagram of a fitting curve of Bluetooth RSSI ranging provided by an embodiment of the present invention;

[0069] Figure 5 Schematic diagram of the principle of a four-side ranging positioning algorithm provided by an embodiment of the present invention;

[0070] Figure 6 is a schematic diagram of a microstrip antenna structure of an RFID module provided by an embodiment of the present invention;

[0071] Figure 7 is a schematic diagram before and after acceleration filtering provided by an embodiment of the present invention;

[0072] Figure 8 The present invention provides a structural block diagram of a management system for an intelligent cable reel. DETAILED DESCRIPTION

[0073] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0074] It is understood that the various numbers involved in the embodiments of the present invention are only for the convenience of description and are not intended to limit the scope of the present application. The size of the sequence number of each process does not mean the order of execution, and the execution order of each process should be determined by its function and internal logic.

[0075] In embodiments of the present invention, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. The terms "include", "comprises", or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article, or device. In the absence of further restrictions, the elements defined by the statement "includes..." do not exclude the presence of other identical elements in the process, method, article, or device including the elements. The term "multiple or several" refers to two or more, and the same applies to "multiple / items or several / items".

[0076] See also Figure 1 , Figure 1 It is a schematic block diagram of an intelligent cable reel provided by an embodiment of the present invention: the intelligent cable reel comprises: an intelligent processing module 10, a fault sensing module electrically connected to the intelligent processing module 10, a cable status sensing module, a position sensing module, a communication module 11, and a power supply module; the power supply module is used to supply power to the intelligent processing module 10; the intelligent processing module is used to execute the management method of the intelligent cable reel.

[0077] The fault sensing module includes: a temperature sensor 12 and a humidity sensor 13 electrically connected to the intelligent processing module 10, and an electric quantity sensor 14 electrically connected to the power supply module.

[0078] The cable status sensing module includes: a three-axis acceleration sensor 15 and a photoelectric transceiver sensor 16 .

[0079] For example, the temperature sensor 12 can be installed inside the intelligent cable reel near the cable to accurately measure the temperature change of the cable during operation, ensuring that abnormal conditions such as cable heating can be monitored in time. The humidity sensor 13 can be placed on the outer wall of the intelligent cable reel to monitor the ambient humidity around the intelligent cable reel to prevent humidity from causing damage to the intelligent cable reel and the cable, such as corrosion problems that may be caused in a humid environment. The power sensor 14 is electrically connected to the power module to measure the power information of the power module, such as the remaining power, so as to grasp the power supply of the intelligent processing module 10 in real time.

[0080] The triaxial acceleration sensor 15 is used to detect the acceleration information of the intelligent cable reel, through which the rotation angle and number of turns of the intelligent cable reel can be calculated, and then the cable outlet and cable surplus can be calculated. The photoelectric transceiver sensor 16 is set at a specific position of the intelligent cable reel. The photoelectric transceiver sensor 16 detects whether the light beam path of the cable outlet of the intelligent cable reel is crossed / blocked to determine whether the cable is reeled, and then distinguishes the rotation of the intelligent cable reel caused by the transportation behavior and the use behavior.

[0081] The power module includes a solar panel 17, a rechargeable battery pack 18 and a charging management unit 19, wherein the charging management unit 19 is electrically connected to the solar panel 17, the battery pack 18 and the intelligent processing module 10 respectively, and is used to manage the charging process of the solar panel 17 to the battery pack 18 and the discharging process of the battery pack 18 to the intelligent processing module 10 (i.e., power supply).

[0082] The location sensing module includes: an RFID module 20 and a Beidou positioning module 21; wherein the RFID module 20 is used to store the equipment information of the intelligent cable reel; the equipment information includes but is not limited to: the identity information of the intelligent cable reel, the information detected by each sensor, the registration information of the intelligent cable reel in and out of the warehouse, etc.

[0083] For example, the solar panel 17 can adopt a self-cleaning nanofilm solar panel. The charging management unit 19 can adopt the ADP5091 chip to achieve high-efficiency charge and discharge management of the battery pack. The ADP5091 chip has an MPPT maximum power tracker, which can realize voltage and current monitoring of the photovoltaic system to obtain the maximum power of the photovoltaic system. The start-up voltage of the regulator of the ADP5091 chip only requires 380mV. When the ADP5091 chip is cold-started, the regulator can work normally within the input voltage range of 80mV to 3.3V, and can be programmed to achieve boost shutdown under low light conditions.

[0084] The power sensor 14 can use the MAX17205 chip. The MAX17205 chip uses the ModelGauge m5 algorithm, has real-time online temperature compensation and self-calibration functions, can estimate the remaining working time and the charging completion time, can measure the power of multiple series battery packs, and realize the active balancing function of the battery power to extend the service life of the battery pack.

[0085] The intelligent processing module 10 can use the nRF52840 low-power Bluetooth BLE5.0 chip. The nRF52840 chip uses the ARMCortex-M4 core, has ultra-low power consumption (the peak current is only 4.8mA at 0dBm), has an independent floating-point unit, and has powerful data processing capabilities. The nRF52840 chip has 1M FLASH and 64kB RAM, and the main frequency can reach 64MHz. The nRF52840 chip has rich peripheral resources, with 2 IIC buses and 2 UART interfaces. The nRF52840 chip is connected to a three-axis acceleration sensor (such as the ADXL345 chip) through the IIC interface, configures the interrupt threshold of the ADXL345 chip, and reads the three-axis acceleration to complete the device attitude solution. At the same time, the interrupt pin of the ADXL345 is used as the wake-up pin of the nRF52840 chip. The nRF52840 chip drives the Beidou positioning module (also known as the BDS module) through the UART interface to complete outdoor positioning. At the same time, the nRF52840 chip can also be connected to the Bluetooth module to perform indoor positioning through the internal Bluetooth BLE indoor positioning algorithm. When each electronic device is operating normally, the nRF52840 chip reads various sensor parameters such as temperature, humidity, location, and power every 24 hours, and drives the communication module (such as the NB-IoT module) through the UART interface to report various data.

[0086] The RFID module can use a dual-interface RFID chip (such as the SL3S4011 chip) to bridge the nRF52840 chip and the RFID chip. The SL3S4011 chip supports the UHF EPCglobal Generation-2 radio frequency standard protocol and an independent IIC communication interface. Through the IIC interface, the nRF52840 chip can complete functions such as accessing the RFID chip, reading and writing configuration command data and operation data, and realize the bridge between the radio frequency system and the control system, thereby realizing the function of waking up the online sensing RFID chip on the spot through the handheld terminal. When the RFID chip leaves the factory, the communication interrupt flag bit of the RFID chip is initialized to 1 through the RFID reader (the communication interrupt flag bit is located in the special configuration register), and the SCL pin interrupt of the IIC interface is turned on. When the operation and maintenance personnel write the corresponding function instruction data to the data buffer register of the RFID chip through the handheld terminal, the SCL pin level will jump to a low level, and an RF communication interrupt indication signal can be generated, and the signal level duration is not less than 210us. The nRF52840 chip is awakened after receiving the interrupt signal, and reads out the written functional instruction data through the IIC interface. After decrypting the data using the decryption algorithm, the corresponding sensor is awakened according to the command parsing program built into the RFID chip to complete the active control of each sensor. During daily inspections, the operation and maintenance personnel can read the abnormal data in the USER area of ​​the RFID module through the handheld terminal, or write different instructions through radio frequency to interact with the RFID module, complete the active control of each sensor module and the real-time collection and reporting of the perception parameters. At the same time, the RFID module can respond to the RFID reader installed at the entrance and exit of the power storage warehouse, effectively complete the entry and exit registration of trays and cables when entering and leaving the warehouse, and update the material status information in real time.

[0087] In the embodiment of the present invention, the intelligent processing module will integrate sensors such as temperature, humidity, three-axis acceleration, and photoelectric signal transceiver, which can realize multi-parameter perception and all-round control of cables and reels. The three-axis acceleration sensor can effectively sense the rotation of the reel, and combined with the photoelectric transceiver sensor, it can accurately identify the cable reeling action, avoid misjudging the transportation and use of the intelligent cable reel, and at the same time, it can quickly, effectively and accurately estimate the cable usage, surplus and other information, realize the monitoring of cable exhaustion, and when the cable is used up, promptly report to the management platform and notify the operation and maintenance personnel to complete the reel recovery, thereby improving the overall efficiency and accuracy of cable management. When the data detected by the sensor is abnormal, the intelligent processing module reports the abnormal data and writes it into the USER area of ​​the RFID module.

[0088] In addition, based on the large-capacity storage unit built into the intelligent processing module, it can store power cable order information, transportation information, and material information, support the establishment of an edge micro-database, and achieve the unification and error correction of front-end and back-end data.

[0089] Through the Beidou positioning module and indoor BLE (Bluetooth Low Energy) positioning technology and RFID fingerprint positioning technology, the intelligent processing module can achieve all-round indoor and outdoor positioning of the intelligent cable tray. Operation and maintenance personnel can remotely monitor the status of the intelligent cable tray through the user management terminal, realizing all-round interconnected perception of power equipment-personnel and power equipment-environment.

[0090] The intelligent processing module is equipped with an NB-IoT module and combines its wide-area wireless transmission function. In addition to the asset coding capability of traditional material tags, the intelligent processing module also has real-time online and remote upgrade capabilities, thereby realizing online management of cables and reels. At the same time, combined with the power supply of solar panels, continuous and reliable online perception of intelligent cable reels can be achieved.

[0091] In an embodiment of the present invention, the management of the intelligent cable reel mainly includes three parts: fault management, warehouse management and cable status management. Among them, fault management mainly involves temperature sensors, humidity sensors, and power sensors; warehouse management mainly involves Beidou positioning modules and RFID modules; cable status management mainly involves three-axis acceleration sensors and photoelectric transceiver sensors.

[0092] See also Figure 2 , Figure 2 1 is a flow chart of a management method of an intelligent cable reel provided by an embodiment of the present invention. The management method of the intelligent cable reel specifically includes:

[0093] S11: Acquire sensor data of the intelligent cable reel; wherein the sensor data includes device status information of the intelligent cable reel currently sensed by the fault sensing module, cable status information of the intelligent cable reel currently sensed by the cable status sensing module, and location information of the intelligent cable reel currently sensed by the location sensing module;

[0094] The device status information includes: the temperature information of the cable during operation of the intelligent cable reel detected by the temperature sensor, the ambient humidity information outside the intelligent cable reel detected by the humidity sensor, and the power information of the power module detected by the power sensor;

[0095] The cable status information includes: acceleration information of the intelligent cable reel detected by the triaxial acceleration sensor, and indication information of whether the intelligent cable reel has cable reeling behavior detected by the photoelectric transceiver sensor;

[0096] The location information includes: the indoor location information of the smart cable reel detected by the RFID module, or the outdoor location information of the smart cable reel detected by the Beidou positioning module.

[0097] S12: Determine the management type of the intelligent cable reel according to the sensing data; wherein the management type includes: fault sensing type, cable status sensing type, and storage management type of the intelligent cable reel;

[0098] S13: Acquire target data related to the management type;

[0099] S14: Reporting the target data to the user management terminal through the communication module according to the target reporting strategy.

[0100] Furthermore, before acquiring the sensor data of the intelligent cable reel, the method further includes:

[0101] Waking up the intelligent processing module in sleep mode according to the wake-up instruction sent by the user management terminal; or periodically waking up the intelligent processing module in sleep mode according to a preset time interval;

[0102] When the intelligent processing module wakes up, fault detection is performed on the temperature sensor, the humidity sensor, and the power sensor;

[0103] When at least one of the temperature sensor, the humidity sensor, and the power sensor fails, reporting first information indicating a cable reel sensor failure to the user management terminal;

[0104] When the temperature sensor, the humidity sensor, and the power sensor are all free from faults, the temperature sensor, the humidity sensor, and the power sensor are started to detect device status information.

[0105] Specifically, determining the management type of the intelligent cable reel according to the sensor data includes:

[0106] Determining whether the intelligent cable reel is in an abnormal state according to the device status information in the sensing data;

[0107] Specifically, an abnormality check is performed on the temperature information, environmental humidity information, and power information detected in real time to determine whether there is abnormal data in the detected temperature information, environmental humidity information, and power information;

[0108] If so, determining that the intelligent cable reel is in an abnormal state;

[0109] If not, it is determined that the intelligent cable reel is in a normal state.

[0110] Wherein, when the intelligent cable reel is in an abnormal state, it is determined that the management type of the intelligent cable reel includes a fault sensing type.

[0111] The acquiring of target data related to the management type includes:

[0112] When the intelligent cable reel is in an abnormal state, a target reporting strategy is determined according to the abnormality degree of the abnormal data, and the abnormal data is obtained as the target data at a time interval indicated by the target reporting strategy;

[0113] When the intelligent cable reel is in a normal state, the target reporting strategy is determined to be periodic reporting, and the detected temperature information, environmental humidity information, and power information within the current time period are obtained as the target data.

[0114] In the embodiment of the present invention, the intelligent processing module is also electrically connected to the vibration detection module to detect whether the intelligent cable reel is in a vibrating state. When it is detected that the intelligent cable reel is stored and placed without vibration triggering, the intelligent processing module and the vibration detection module operate in a low-power sleep mode, and other sensors / modules are all in a power-off state. The intelligent processing module can be awakened at a preset time interval (such as 2 minutes), or awakened by a user management end, such as a handheld terminal, a service end, or a network platform. After waking up, the intelligent processing module first performs fault detection on each sensor to determine whether each sensor can work normally and complete self-test.

[0115] When the self-check is abnormal, for example, when any sensor is faulty, the fault is immediately reported to the user management terminal to notify the operation and maintenance personnel to complete the replacement of the corresponding sensor. In the embodiment of the present invention, the user management terminal can be a handheld terminal connected via RFID module communication, a handheld terminal or a network platform connected via communication module, cloud platform, and server communication.

[0116] When the self-check is normal, the intelligent processing module collects various sensing parameters such as temperature information, ambient humidity, and power information, and performs abnormality check on the sensing parameters; if the collected sensing parameters are abnormal, the abnormal data with a timestamp is written into the USER area of ​​the intelligent processing module, and the collection time interval and decision target reporting strategy are adjusted according to the abnormality degree of the abnormal data, such as the degree of exceeding the limit of the abnormal data, such as whether to report and the reporting time period.

[0117] For example, when the temperature information does not exceed the set temperature range (such as -20°C to +60°C), and the ambient humidity information does not exceed the set normal humidity range (such as 20% to 80%), the temperature information and the ambient humidity information pass the abnormality check, and the temperature information and the ambient humidity information are both within the normal range and are not abnormal data.

[0118] When the temperature information exceeds the set temperature range (for example, -20℃ to +60℃) or the ambient humidity information exceeds the set normal humidity range (for example, 20% to 80%), the temperature information or ambient humidity information outside the range is abnormal data; first determine the duration of the abnormal data (for example, the duration of the detected temperature information exceeding the set temperature range). If the duration of the abnormal data is less than the preset first duration (for example, 10 minutes) and does not exceed the predefined first temperature / humidity abnormal fluctuation threshold range (which can be set according to actual conditions, such as the first temperature fluctuation threshold range is within ±5℃ of the temperature range, and the first humidity fluctuation threshold range is within ±10% of the humidity range), it means that the abnormal data may be caused by short-term environmental interference or measurement errors, and the target reporting strategy is determined to be temporarily not reported and continue monitoring.

[0119] For abnormal data exceeding the preset abnormal fluctuation threshold, if the abnormality of the abnormal data is relatively minor, such as the temperature information exceeds the temperature range and is within ±10°C beyond the temperature range, and the ambient humidity information exceeds the humidity range and is within ±20% beyond the humidity range, the target reporting strategy is: trigger the report immediately, and adjust the reporting time period to a longer first reporting time period, such as 1 hour, and continue to observe whether the abnormal situation continues to deteriorate or returns to normal. If the abnormality of the abnormal data is relatively serious, such as the temperature information exceeds the temperature range and is more than ±10°C beyond the temperature range, and the ambient humidity information exceeds the humidity range and is more than ±20% beyond the humidity range, the target reporting strategy is: trigger the report immediately, and adjust the reporting time period to a shorter second reporting time period, such as 30 minutes, so as to track abnormal changes more closely.

[0120] When the power information is lower than the set first power threshold (such as 20% of the total power), and the duration exceeds the second duration (such as 10 minutes) or the power fluctuation exceeds the power abnormal fluctuation threshold (such as less than 5% of the first power threshold), it is considered abnormal data, otherwise it is not abnormal data. For abnormal data, the target reporting strategy is: trigger reporting immediately, and continuously monitor whether the abnormal data continues to decrease and is equal to or lower than the second power threshold (such as 10% of the total power). If so, shorten the reporting time period to the third reporting time period, such as 15 minutes. Because low power may directly affect the normal operation of the intelligent processing module and the entire system, if the abnormal duration exceeds 10 minutes or the abnormal fluctuation exceeds the short-term power abnormal fluctuation threshold, it will be determined as an abnormal situation that needs to be reported. When the abnormal situation is first detected, the abnormal data will be reported immediately so that the operation and maintenance personnel can obtain the initial information in time. At the same time, due to the urgency of detecting abnormal power information, after the first report, it will continue to monitor. If the power continues to drop and approaches or even falls below the second power threshold, the reporting interval will be shortened to 15 minutes or even shorter to ensure that the operation and maintenance personnel can take timely measures such as charging or replacing the battery.

[0121] When the abnormal data returns to normal values, stop reporting the abnormality, and continue monitoring within the preset monitoring time period (for example, 2 hours). If the data detected by the temperature, humidity, and power sensors are stable and normal, the target reporting strategy will be restored to the regular inspection reporting time period (for example, reporting once every 24 hours). If abnormal data appears again during the monitoring period, the target reporting strategy will be re-determined according to the above rules. Operation and maintenance personnel can remotely obtain abnormal data through the network platform, arrange maintenance or take corresponding measures in a timely manner to avoid cable failures caused by excessive temperature, equipment damage caused by humidity problems, and power exhaustion affecting the normal operation of the smart cable tray. Through long-term monitoring and analysis of abnormal data, we can understand the operating status of smart cable reels under different working conditions, provide data support for subsequent maintenance plan formulation, equipment upgrades, and logistics and transportation planning, achieve more refined management, and improve the service life and operating efficiency of smart cable reels. At the same time, it helps to control carbon emissions as a whole, which is in line with the concept of green environmental protection. For example, if it is found that the smart cable reels in a certain area frequently have abnormal temperatures, the cause can be analyzed and the cable layout or heat dissipation measures in the area can be optimized; if the power consumption is too fast, the battery performance can be checked or the power consumption strategy of the intelligent processing module can be optimized.

[0122] Specifically, determining the management type of the intelligent cable reel according to the sensor data further includes:

[0123] Determining whether the smart cable reel is in an indoor state according to the location information in the sensor data;

[0124] Specifically, when the location information is the outdoor location information of the smart cable reel detected by the Beidou positioning module, it is determined that the smart cable reel is in an outdoor state; when the location information includes multiple signal strengths of the RFID module detected by multiple RFID readers, it is determined that the smart cable reel is in an indoor state;

[0125] When the intelligent cable reel is in an indoor state, it is determined that the management type of the intelligent cable reel includes a warehouse management type.

[0126] When the smart cable reel is in an outdoor state, the smart cable reel may be in a taking action or a transport action.

[0127] In some embodiments, the acquiring target data related to the management type includes:

[0128] When the intelligent cable reel is in an outdoor state, the currently detected outdoor position information is used as the target data;

[0129] When the smart cable reel is in an indoor state, the indoor location information of the smart cable reel in the power warehouse is calculated according to multiple signal strengths of the RFID module detected by multiple RFID readers, and the indoor location information is used as the target data.

[0130] In some embodiments, the plurality of RFID readers are respectively arranged at different locations of the power warehouse; the indoor location information of the intelligent cable reel in the power warehouse is calculated according to the plurality of signal strengths of the RFID module detected by the plurality of RFID readers, including:

[0131] For each of the RFID reader / writers, construct a corresponding first signal strength timing waveform diagram according to the signal strength detected by the corresponding RFID reader / writer within a second set time period before the current moment;

[0132] Superimposing and splicing the first signal strength timing waveforms corresponding to the plurality of RFID readers to obtain a second signal strength timing waveform;

[0133] According to the second signal strength timing waveform, position recognition is performed by a pre-trained convolutional neural network to obtain the storage position of the intelligent cable reel in the power warehouse and the type of cable stored in the intelligent cable reel;

[0134] According to the storage position of the intelligent cable reel in the power warehouse, the indoor position information of the intelligent cable reel in the power warehouse is obtained.

[0135] In the embodiment of the present invention, when the intelligent cable tray is located outdoors, the intelligent processing module drives the Beidou positioning module to obtain outdoor location information. When the intelligent cable tray is located indoors, the BLE / RFID high-precision positioning algorithm is called to complete the shelf position calculation and obtain indoor location information. The intelligent processing module reports various sensor data, identity information (such as the device ID of the intelligent cable tray) and timestamp through the communication module, and completes time synchronization with the external user management terminal through the communication module to ensure the accuracy of the timestamp of the intelligent processing module. Due to the high power consumption of position calculation and uplink communication of the communication module, when there is no abnormality in the intelligent cable reel, the target reporting strategy is the inspection reporting time period (for example, the position information is reported once every 24 hours, and all abnormal data within this time period is reported through the communication module. Operation and maintenance personnel can also remotely wake up the intelligent processing module through the communication module through the network platform, and control the intelligent processing module to complete single or multiple sensor data collection and reporting by sending different instructions. When warehouse managers conduct daily inspections, they can read the abnormal data in the USER area of ​​the intelligent processing module through the handheld terminal for analysis, and can also actively control the various sensor modules of the intelligent processing module through corresponding command interactions to complete data collection and reporting. In addition, the intelligent processing module also has an embedded Bluetooth file system. When used on-site, the handheld terminal can read the cable information stored in the intelligent processing module through Bluetooth, including but not limited to cable remainder, usage, etc. The collection and upload process of the sensor data of the intelligent cable reel is as follows: Figure 3 shown.

[0136] For the warehouse management type, it is necessary to perform indoor positioning of the intelligent cable reel. In the embodiment of the present invention, the Bluetooth embedded in the intelligent processing module can be used for BLE positioning, or the RFID module and the RFID reader configured in the power warehouse can be combined for RFID fingerprint positioning to achieve indoor high-precision positioning.

[0137] For example, the BLE positioning process is as follows:

[0138] Due to the complexity of the current positioning algorithm, general positioning equipment uses a high-performance CPU, resulting in high power consumption of the equipment, which cannot operate for a long time or uses wired power supply such as POE (Power Over Ethernet), which brings inconvenience to on-site construction. Based on this, the embodiment of the present invention uses an intelligent processing module to perform BLE positioning based on the weighted four-edge positioning algorithm, which can avoid the limitations of processor computing power and overall power consumption.

[0139] The distribution attenuation model of Bluetooth ranging RSSI (Received Signal Strength Indication) is:

[0140] (1);

[0141] RSSI represents the Bluetooth signal strength at a distance of d, in dBm; P0 represents the Bluetooth signal strength at a distance of d0; d represents the actual test distance; d0 represents the reference distance, which is generally 1m; represents a random error variable with a normal distribution and a mean of 0; n represents the path loss index, which is related to the environment and obstacles. In actual measurements, the error variable is often ignored. , the above ranging model can be further simplified as:

[0142] (2);

[0143] According to experience, the value range of n is generally 2 to 4. In order to eliminate the fluctuation problem of RSSI signals, the embodiment of the present invention adopts mean filtering. The multiple groups of Bluetooth signals collected by each node are filtered by mean and used as the input data of the Bluetooth ranging model. After fitting, n is 2.374. The final ranging formula is determined. The multiple groups of Bluetooth signal measurement values ​​of each node and the ranging model fitting curve are as follows: Figure 4 shown.

[0144] like Figure 5 The schematic diagram of the principle of the four-side ranging positioning algorithm shown in the figure uses four anchor nodes A, B, C, and D to locate the node E to be measured (such as an intelligent cable tray). Each time, three of the anchor nodes are randomly selected and the three-side centroid algorithm is used to complete a coordinate estimation of the node to be measured. Similarly, the coordinate estimates of the four triangles E1(x E1 ,y E1 ), E2(x E2 ,y E2 ), E3(x E3 ,y E3 ), E4(x E4 ,y E4 ), find its centroid, and you can get the coordinates of the node E to be measured (x E ,y E )for:

[0145] (3);

[0146] Among them, E1(x E1 ,y E1 ) is the coordinate estimate of point E obtained through points A, B, and C, E2(x E2 ,y E2 ) is the coordinate estimate of point E obtained through points A, B, and D, E3(x E3 ,y E3 ) is the coordinate estimate of point E obtained through points A, C, and D. E4(x E4 ,y E4) is the coordinate estimate of point E obtained through points B, C, and D.

[0147] It can be seen from the RSSI ranging model of the above formula (2) that the closer the smart cable reel is to the reference node, the higher the ranging accuracy. In order to further improve the positioning accuracy, the embodiment of the present invention adopts a weighted four-side distance algorithm and introduces a weighted value in each group of positioning coordinates; wherein the weighted value is the reciprocal of the sum of the distances from the measured node (i.e., the smart cable reel) to the anchor node involved in the positioning. Then, the coordinates of E (x E ,y E )for:

[0148] (4);

[0149] Among them, r A , r B , r C , r D is the distance from the node to be tested E to each anchor node.

[0150] Based on the corresponding relationship between the vertical coordinate in the three-dimensional coordinate and the number of shelf layers of the power warehouse, the number of shelf layers of the intelligent cable reel in the power warehouse can be determined.

[0151] For example, the process of RFID fingerprint positioning is as follows:

[0152] The traditional fingerprint-based indoor positioning algorithm mainly relies on measuring the RFID read and write signal strength of a large number of reference RFID tags set inside the warehouse to generate a reference tag read and write signal strength map, i.e., a fingerprint map. The signal feature map in each direction is measured in advance and stored in the fingerprint database. When positioning, the current signal feature can be matched with the fingerprint database to confirm the direction. However, one disadvantage of this method is that if the height of the material in the vertical direction (the distance from the ground) is to be determined, the number of reference RFID tags needs to be doubled, and the drawn fingerprint map will also become a complex 3D image, which will greatly increase the difficulty of matching the fingerprint library. Therefore, the embodiment of the present invention uses a convolutional neural network (CNN) to extract and judge the features of the 2D signal strength map, and thereby determine the three-dimensional coordinates of the intelligent cable reel. The convolutional neural network model can be a commonly used image recognition network such as a YOLO series model, which is not specifically limited in the embodiment of the present invention.

[0153] In the embodiment of the present invention, an RFID reader is set at each of the four top corners of the power warehouse, and then by placing reference targets at different positions in the power warehouse, the signal strength is collected for a period of time through four RFID readers to obtain a signal strength time series waveform; for the same reference target, the signal strength time series waveform collected by the four RFID readers is superimposed and spliced ​​to obtain the fingerprint of the reference target; for the storage scene of the power warehouse, the fingerprints generated by different types of reference targets (such as intelligent cable trays, automatic guided transport vehicles, and freight vehicles) at different positions and heights can be recorded respectively, and the horizontal position of the reference target is marked. After collecting enough fingerprints, these images are classified according to their target types and shelf layers, and the fingerprint images of the intelligent cable tray targets at the same placement height (shelf layers) are classified into one category to form a training set, in which the horizontal position, shelf layer number, and type of the corresponding template are marked on the fingerprint, and then the fingerprints of each reference target are used as training data and input into the convolutional neural network for training to obtain a trained convolutional neural network. The trained convolutional neural network will be able to mark the signal strength time series waveform formed by the target entering the warehouse, identify the horizontal position, type and shelf level of the target, and complete the three-dimensional positioning of the target.

[0154] When the intelligent cable reel is put into storage, the RFID readers at the four corners of the power warehouse will simultaneously collect the first signal strength timing waveform, and superimpose the four first signal strength timing waveforms to obtain the second signal strength timing waveform, and record the newly added RFID code (i.e. material code) stored in the RFID module. Then the second signal strength timing waveform is input into the trained convolutional neural network for recognition, and the horizontal position, number of shelves, etc. are obtained as indoor location information, and the identified indoor location information will be matched with the newly added RFID code to complete the matching and recording of the target completion information and complete the storage registration. When a new target is identified by the intelligent cable reel and no new ID code is added, the intelligent processing module will alarm and notify the warehouse management personnel to respond to the target that has entered the warehouse illegally.

[0155] It should be noted that the power warehouse is a typical multi-metal environment. Since the intelligent processing module is installed in the intelligent cable drum, the radio frequency signal will be reflected when it encounters the metal surface. The phase difference between the reflected signal and the incident signal will seriously attenuate the intensity of the radio frequency signal, resulting in a significant reduction in the RFID reading distance. Therefore, the RFID module in the embodiment of the present invention adopts an anti-metal microstrip antenna structure, such as Figure 6As shown, the microstrip antenna uses the metal surface as the ground plane of its antenna, thereby achieving an anti-metal effect; a short-circuit stub feeding structure is adopted, that is, the radiation pin of the chip is connected to the radiation surface of the antenna, and the ground pin of the chip is connected to the ground of the antenna through a short-circuit stub.

[0156] Specifically, determining the management type of the intelligent cable reel according to the sensor data further includes:

[0157] Determining whether the intelligent cable reel is in a state of use according to the cable state information in the sensing data;

[0158] When the intelligent cable reel is in a used state, it is determined that the management type of the intelligent cable reel includes a cable state sensing type.

[0159] In some embodiments, determining whether the intelligent cable reel is in a retrieval state according to the cable state information in the sensing data includes:

[0160] When the acceleration information detected by the three-axis acceleration sensor changes, the photoelectric transceiver sensor is started to perform photoelectric signal detection to determine whether the intelligent cable reel has a cable reeling behavior;

[0161] When it is detected that the intelligent cable reel has a cable reeling behavior, determining that the intelligent cable reel is in a taking state;

[0162] When it is detected that the intelligent cable reel does not have a cable reeling behavior, determining that the intelligent cable reel is in a transport state;

[0163] The acquiring of target data related to the management type includes:

[0164] When the intelligent cable reel is in a state of being used, the cable surplus of the intelligent cable reel is calculated according to the acceleration information in a first set time period before the current moment, and the cable surplus is used as the target data.

[0165] In some embodiments, the calculating the cable margin of the intelligent cable reel according to the acceleration information within a first set time period before the current moment includes:

[0166] Performing Kalman filtering on the acceleration information within the first set time period;

[0167] According to the filtered acceleration information, the acceleration average value and the acceleration variance value are calculated;

[0168] Calculating a signal average value and a signal variance value according to the photoelectric signal detected by the photoelectric transceiver sensor within the first set time period;

[0169] Constructing a feature map based on a two-dimensional normal distribution according to the filtered acceleration information and the photoelectric signal within the first set time period, the acceleration average value, the acceleration variance value, the signal average value, and the signal variance value;

[0170] According to the feature graph, the cable margin is predicted by a pre-trained long short-term memory network to obtain the cable margin of the intelligent cable reel.

[0171] The embodiment of the present invention uses a three-axis acceleration sensor to detect the posture and inclination of the intelligent cable drum. If a rotational acceleration change is detected, it will immediately work in conjunction with the photoelectric transceiver sensor to confirm whether the cable access behavior occurs, and the cable access length and cable margin are measured as needed. In addition, if the inclination exceeds the preset threshold, an alarm is triggered, and the Beidou positioning module is started at the same time and the coordinate position is continuously reported to achieve the tracking of the intelligent cable drum. By measuring the cable margin, the refined management of cable resources can be achieved, the operation and maintenance strategy can be optimized, and the real-time grasp of the cable margin can help the operation and maintenance personnel plan the cable replacement or supplement work in advance. In addition, the cable access length and margin data accumulated over a long period of time can be used for data analysis, which can help enterprises to deeply understand the cable usage rules in different regions and different time periods, so as to improve the scientificity and rationality of decisions such as optimizing cable laying routes, adjusting power load distribution, and formulating preventive maintenance plans, and further improve the operation efficiency and management level of the power system. From a green and environmental perspective, accurate line length and margin measurement can help avoid overproduction and waste of cables. By rationally utilizing existing cable resources, it can reduce unnecessary cable replacement and scrapping, reduce demand for raw materials, and thus reduce carbon emissions in the manufacturing process, thus driving the power industry toward green and sustainable development.

[0172] Since the intelligent cable drum may have certain vibrations and mechanical noises during transportation and on-site placement, the embodiment of the present invention performs Kalman filtering on the acceleration information collected by the three-axis acceleration sensor. Kalman filtering is an optimal estimate of the system state that satisfies the minimum linear mean square error based on the state space method. It can effectively reduce the impact of noise on the system. Due to its small memory usage and fast calculation speed, it has been widely used in engineering applications. After the intelligent processing module collects the acceleration information, it calculates the precise angle after Kalman filtering. The relationship between the inclination angle of each axis and the acceleration value is as follows:

[0173] (5);

[0174] in, , , are the angles between the X, Z, and Y axes and the horizontal direction, , , are the accelerations in the X, Y, and Z axis directions respectively.

[0175] The Kalman equation is as follows:

[0176] (6);

[0177] Wherein, X(k|k-1) represents the state update equation, and P(k|k-1) represents the measurement update equation. B is the control matrix of the system. In the embodiment of the present invention, the system has no control quantity, that is, u(k)=0, u(k) represents the control input vector of the system at time k, so Bu(k)=0. Q is the process noise covariance matrix, which describes the uncertainty of the system model itself (in the system, its value needs to be estimated or adjusted based on the understanding of the dynamic characteristics of the system and the actual measurement data). R is the measurement noise covariance matrix, which reflects the uncertainty of the sensor measurement value during the measurement process (in the system, the measurement noise characteristics of different sensors are different, and its value needs to be determined according to the specific sensor characteristics and the measurement environment).

[0178] is the Kalman gain, which is a key parameter for weighing the weight of the predicted value and the measured value in the state estimation. A is the system state transfer matrix, which describes the transfer relationship between the system state at adjacent moments (in the system, it is related to the change of the motion state of the disk. Since the acceleration of the disk is the same as the acceleration at the previous moment, A=1, A T Represents the transpose of the system state transfer matrix A. H is the measurement matrix, which is used to map the system state to the measurement space. Since the three-axis acceleration sensor directly measures the acceleration value, H=1. T Represents the transpose of the measurement matrix H. The Kalman filter simulation model of the embodiment of the present invention is established by using MATLAB. The weights of the model prediction value and the measurement value are adjusted by adjusting Q and R. When Q=1 10 6 and R=4 10 4, the ideal filtering effect is achieved, and the waveform comparison before and after filtering is as follows: Figure 7 shown.

[0179] The embodiment of the present invention designs a two-dimensional normal distribution, whose variance value ( 1, 2) are the variance values ​​of the acceleration information and photoelectric signal after normalization of Kalman filtering, and their average values ​​( 1, 2) are the average values ​​of the acceleration information and photoelectric signal after normalization of Kalman filtering, where the two average values ​​and the relationship coefficient are all 0. This two-dimensional normal distribution is visualized and the z-axis value is represented by heat to obtain the characteristic graph of the two-dimensional normal distribution. 1, 2) Average value ( 1, 2) One or more of them will change with the process of reeling in and out, so the change of the feature graph is also an important criterion for predicting the cable surplus. In order to simultaneously incorporate the feature graph and the time-varying features into the reasoning process, the embodiment of the present invention adopts a reasoning model that integrates a convolutional neural network and a long short-term memory network to realize the judgment of the cable surplus.

[0180] The inference model uses MobileNetV2 as the backbone model. During the training process, the feature information of the feature map can be extracted through the convolutional neural network and passed to the long short-term memory network for long-term dependency learning. After the training is completed, the model can calculate the cable margin based on the feature map that changes over time.

[0181] In order to complete the training of the inference model, it is necessary to collect the data of the reeling and unreeling of various cable drums, so as to help the model learn the correlation between the changes in the rotational angular velocity of the cable drum and the changes in the photoelectric signal during training, so that the inference model can accurately estimate the cable surplus according to the characteristic graph of the two-dimensional normal distribution of data fusion. The specific model training process belongs to the existing technology and will not be described in detail here.

[0182] The beneficial effect compared with the prior art is that: an intelligent processing module and a fault sensing module, a cable state sensing module, a position sensing module, a communication module, and a power supply module electrically connected to the intelligent processing module are set in the intelligent cable reel; wherein the power supply module is used to supply power to the intelligent processing module; the intelligent processing module is used to execute the following management method: obtaining the sensor data of the intelligent cable reel; wherein the sensor data includes the device state information of the intelligent cable reel currently sensed by the fault sensing module, the cable state information of the intelligent cable reel currently sensed by the cable state sensing module, and the position information of the intelligent cable reel currently sensed by the position sensing module; according to the sensor data, determining the management type of the intelligent cable reel; wherein the management type includes: the fault sensing type, the cable state sensing type, and the warehouse management type of the intelligent cable reel; obtaining target data related to the management type; and reporting the target data to the user management end through the communication module according to the target reporting strategy; the embodiment of the present invention can realize multi-dimensional management of the cable reel by combining multiple sensors set on the intelligent cable reel, thereby improving the intelligence level of cable reel management.

[0183] See also Figure 8 , Figure 8The present invention provides a structural block diagram of a management system for an intelligent cable reel, wherein the management system for the intelligent cable reel comprises: an intelligent cable reel (not shown in the figure), and a reel management device 100 arranged on the intelligent cable reel; wherein the reel management device 100 comprises: an intelligent processing module 10, a fault sensing module 200 electrically connected to the intelligent processing module 10, a cable state sensing module 300, a position sensing module 400, a communication module 11, and a power supply module 500;

[0184] The power module 500 is used to supply power to the intelligent processing module 10;

[0185] The intelligent processing module 10 includes:

[0186] The sensor data acquisition unit 111 is used to acquire the sensor data of the intelligent cable reel; wherein the sensor data includes the device status information of the intelligent cable reel currently sensed by the fault sensing module 200, the cable status information of the intelligent cable reel currently sensed by the cable status sensing module 300, and the position information of the intelligent cable reel currently sensed by the position sensing module 400;

[0187] A management type determination unit 112 is used to determine the management type of the intelligent cable reel according to the sensing data; wherein the management type includes: a fault sensing type, a cable status sensing type, and a storage management type of the intelligent cable reel;

[0188] A target data acquisition unit 113, used to acquire target data related to the management type;

[0189] The data reporting unit 114 is used to report the target data to the user management terminal through the communication module 11 according to the target reporting strategy.

[0190] It should be noted that the working process of each module in the management system of the intelligent cable reel described in the embodiment of the present invention can refer to the working process of the management method of the intelligent cable reel described in the above embodiment, and the technical effect achieved is also the same as the management method of the intelligent cable reel described in the above embodiment, which will not be repeated here.

[0191] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, many improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for managing an intelligent cable reel, characterized in that: The intelligent cable reel is provided with an intelligent processing module, a fault sensing module, a cable state sensing module, a position sensing module, a communication module, and a power supply module electrically connected to the intelligent processing module; The power module is used to supply power to the intelligent processing module; the management method is applied to the intelligent processing module, including: Acquire sensor data of the intelligent cable reel; wherein the sensor data includes device status information of the intelligent cable reel currently sensed by the fault sensing module, cable status information of the intelligent cable reel currently sensed by the cable status sensing module, and location information of the intelligent cable reel currently sensed by the location sensing module; Determine the management type of the intelligent cable reel according to the sensing data; wherein the management type includes: fault sensing type, cable status sensing type, and storage management type of the intelligent cable reel; Acquiring target data related to the management type; Reporting the target data to the user management terminal through the communication module according to the target reporting strategy; The fault sensing module includes: a temperature sensor and a humidity sensor electrically connected to the intelligent processing module, and a power sensor electrically connected to the power module; the cable status sensing module includes: a three-axis acceleration sensor, a photoelectric transceiver sensor; the position sensing module includes: an RFID module, a Beidou positioning module; wherein the RFID module is used to store the device information of the intelligent cable reel; The device status information includes: the temperature information of the cable of the intelligent cable reel during operation detected by the temperature sensor, the ambient humidity information outside the intelligent cable reel detected by the humidity sensor, and the power information of the power module detected by the power sensor; The cable status information includes: acceleration information of the intelligent cable reel detected by the three-axis acceleration sensor, and indication information of whether the intelligent cable reel has a cable reeling behavior detected by the photoelectric transceiver sensor; The location information includes: indoor location information of the smart cable reel detected by the RFID module, or outdoor location information of the smart cable reel detected by the Beidou positioning module; Determining the management type of the intelligent cable reel according to the sensor data includes: Determining whether the intelligent cable reel is in an abnormal state according to the device status information in the sensing data; When the intelligent cable reel is in an abnormal state, determining that the management type of the intelligent cable reel includes a fault sensing type; Determining whether the smart cable reel is in an indoor state according to the location information in the sensor data; When the intelligent cable reel is in an indoor state, determining that the management type of the intelligent cable reel includes a storage management type; Determining whether the intelligent cable reel is in a state of use according to the cable state information in the sensing data; When the intelligent cable reel is in a used state, it is determined that the management type of the intelligent cable reel includes a cable state sensing type.

2. The management method of the intelligent cable reel according to claim 1, characterized in that: Before acquiring the sensor data of the intelligent cable reel, the method further includes: Waking up the intelligent processing module in sleep mode according to the wake-up instruction sent by the user management terminal; or periodically waking up the intelligent processing module in sleep mode according to a preset time interval; When the intelligent processing module wakes up, fault detection is performed on the temperature sensor, the humidity sensor, and the power sensor; When at least one of the temperature sensor, the humidity sensor, and the power sensor fails, reporting first information indicating a cable reel sensor failure to the user management terminal; When the temperature sensor, the humidity sensor, and the power sensor are all free from faults, the temperature sensor, the humidity sensor, and the power sensor are started to detect device status information.

3. The management method of the intelligent cable reel according to claim 2, characterized in that: The step of determining whether the intelligent cable reel is in an abnormal state according to the device state information in the sensing data includes: Perform abnormality check on the real-time detected temperature information, environmental humidity information, and power information to determine whether there is abnormal data in the detected temperature information, environmental humidity information, and power information; If so, determining that the intelligent cable reel is in an abnormal state; If not, determining that the intelligent cable reel is in a normal state; The acquiring of target data related to the management type includes: When the intelligent cable reel is in an abnormal state, a target reporting strategy is determined according to the abnormality degree of the abnormal data, and the abnormal data is obtained as the target data at a time interval indicated by the target reporting strategy; When the intelligent cable reel is in a normal state, the target reporting strategy is determined to be periodic reporting, and the detected temperature information, environmental humidity information, and power information within the current time period are obtained as the target data.

4. The management method of the intelligent cable reel according to claim 2, characterized in that: The step of determining whether the intelligent cable reel is in a state of use according to the cable state information in the sensing data comprises: When the acceleration information detected by the three-axis acceleration sensor changes, the photoelectric transceiver sensor is started to perform photoelectric signal detection to determine whether the intelligent cable reel has a cable reeling behavior; When it is detected that the intelligent cable reel has a cable reeling behavior, determining that the intelligent cable reel is in a taking state; When it is detected that the intelligent cable reel does not have a cable reeling behavior, determining that the intelligent cable reel is in a transport state; The acquiring of target data related to the management type includes: When the intelligent cable reel is in a state of being used, the cable surplus of the intelligent cable reel is calculated according to the acceleration information in a first set time period before the current moment, and the cable surplus is used as the target data.

5. The management method of the intelligent cable reel according to claim 2, characterized in that: The step of determining whether the intelligent cable reel is in an indoor state according to the location information in the sensing data includes: When the location information is the outdoor location information of the intelligent cable reel detected by the Beidou positioning module, determining that the intelligent cable reel is in an outdoor state; When the location information includes multiple signal strengths of the RFID module detected by multiple RFID readers, it is determined that the smart cable reel is in an indoor state; The acquiring of target data related to the management type includes: When the intelligent cable reel is in an outdoor state, the currently detected outdoor position information is used as the target data; When the smart cable reel is in an indoor state, the indoor location information of the smart cable reel in the power warehouse is calculated according to multiple signal strengths of the RFID module detected by multiple RFID readers, and the indoor location information is used as the target data.

6. The management method of the intelligent cable reel according to claim 4, characterized in that: The calculating the cable surplus of the intelligent cable reel according to the acceleration information in the first set time period before the current moment includes: Performing Kalman filtering on the acceleration information within the first set time period; According to the filtered acceleration information, the acceleration average value and the acceleration variance value are calculated; Calculating a signal average value and a signal variance value according to the photoelectric signal detected by the photoelectric transceiver sensor within the first set time period; Constructing a feature map based on a two-dimensional normal distribution according to the filtered acceleration information and the photoelectric signal within the first set time period, the acceleration average value, the acceleration variance value, the signal average value, and the signal variance value; According to the feature graph, the cable margin is predicted by a pre-trained long short-term memory network to obtain the cable margin of the intelligent cable reel.

7. The management method of the intelligent cable reel according to claim 5, characterized in that: The plurality of RFID readers are respectively arranged at different locations of the power warehouse; the indoor location information of the intelligent cable reel in the power warehouse is calculated according to the plurality of signal strengths of the RFID module detected by the plurality of RFID readers, including: For each of the RFID reader / writers, construct a corresponding first signal strength timing waveform diagram according to the signal strength detected by the corresponding RFID reader / writer within a second set time period before the current moment; Superimposing and splicing the first signal strength timing waveforms corresponding to the plurality of RFID readers to obtain a second signal strength timing waveform; According to the second signal strength timing waveform, position recognition is performed by a pre-trained convolutional neural network to obtain the storage position of the intelligent cable reel in the power warehouse and the type of cable stored in the intelligent cable reel; According to the storage position of the intelligent cable reel in the power warehouse, the indoor position information of the intelligent cable reel in the power warehouse is obtained.

8. An intelligent cable reel management system, characterized in that: It includes an intelligent cable reel and a reel management device arranged on the intelligent cable reel; wherein the reel management device includes: an intelligent processing module, a fault sensing module electrically connected to the intelligent processing module, a cable state sensing module, a position sensing module, a communication module, and a power supply module; The power supply module is used to supply power to the intelligent processing module; The intelligent processing module comprises: A sensor data acquisition unit, used to acquire sensor data of the intelligent cable reel; wherein the sensor data includes device status information of the intelligent cable reel currently sensed by the fault sensing module, cable status information of the intelligent cable reel currently sensed by the cable status sensing module, and location information of the intelligent cable reel currently sensed by the location sensing module; A management type determination unit, used to determine the management type of the intelligent cable reel according to the sensing data; wherein the management type includes: a fault sensing type, a cable status sensing type, and a storage management type of the intelligent cable reel; A target data acquisition unit, used to acquire target data related to the management type; A data reporting unit, configured to report the target data to a user management terminal through the communication module according to a target reporting strategy; The fault sensing module includes: a temperature sensor and a humidity sensor electrically connected to the intelligent processing module, and a power sensor electrically connected to the power module; the cable status sensing module includes: a three-axis acceleration sensor, a photoelectric transceiver sensor; the position sensing module includes: an RFID module, a Beidou positioning module; wherein the RFID module is used to store the device information of the intelligent cable reel; The device status information includes: the temperature information of the cable of the intelligent cable reel during operation detected by the temperature sensor, the ambient humidity information outside the intelligent cable reel detected by the humidity sensor, and the power information of the power module detected by the power sensor; The cable status information includes: acceleration information of the intelligent cable reel detected by the three-axis acceleration sensor, and indication information of whether the intelligent cable reel has a cable reeling behavior detected by the photoelectric transceiver sensor; The location information includes: indoor location information of the smart cable reel detected by the RFID module, or outdoor location information of the smart cable reel detected by the Beidou positioning module; Determining the management type of the intelligent cable reel according to the sensor data includes: Determining whether the intelligent cable reel is in an abnormal state according to the device status information in the sensing data; When the intelligent cable reel is in an abnormal state, determining that the management type of the intelligent cable reel includes a fault sensing type; Determining whether the smart cable reel is in an indoor state according to the location information in the sensor data; When the intelligent cable reel is in an indoor state, determining that the management type of the intelligent cable reel includes a storage management type; Determining whether the intelligent cable reel is in a state of use according to the cable state information in the sensing data; When the intelligent cable reel is in a used state, it is determined that the management type of the intelligent cable reel includes a cable state sensing type.

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