CN113566903A - Distributed cable comprehensive online monitoring device and method - Google Patents
Distributed cable comprehensive online monitoring device and method Download PDFInfo
- Publication number
- CN113566903A CN113566903A CN202111143800.5A CN202111143800A CN113566903A CN 113566903 A CN113566903 A CN 113566903A CN 202111143800 A CN202111143800 A CN 202111143800A CN 113566903 A CN113566903 A CN 113566903A
- Authority
- CN
- China
- Prior art keywords
- temperature
- current
- cable
- threshold
- monitoring
- 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
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
Abstract
The invention provides a distributed cable comprehensive online monitoring device and a method, belonging to the technical field of tunnel cable monitoring and detection, wherein the device comprises: the system comprises a control terminal, a cable body monitoring unit and a cable channel environment monitoring unit, wherein the cable body monitoring unit and the cable channel environment monitoring unit are communicated with the control terminal; the control terminal can obtain a cable online monitoring result according to the acquired cable body monitoring data, the acquired cable channel environment monitoring data and a preset monitoring model; wherein, predetermine the monitoring model and include that cable joint judges unusually, include: obtaining a total abnormal judgment result of the cable joint according to the comparison of the weighted sum of the grounding current abnormal judgment result, the cable joint temperature abnormal judgment result, the grounding current historical trend abnormal judgment result and the cable joint temperature historical trend abnormal judgment result with a preset threshold; the invention realizes the online real-time monitoring of the whole process of the distributed cable and improves the accuracy of the monitoring result.
Description
Technical Field
The invention relates to the technical field of monitoring and detecting tunnel cables, in particular to a distributed cable comprehensive online monitoring device and method.
Background
The statements in this section merely provide background information related to the present disclosure and may not constitute prior art.
After the high-voltage power cable line is put into the system operation, how cable management department prevents the emergence of cable accident, better assurance power cable, cable accessories and cable duct normal operating and reliable power supply to guarantee that cable line and accessory equipment do not take place the accident, accomplish hidden danger and overhaul in advance, make the cable be in good running state all the time, be the problem that present electric wire netting company needs to solve urgently.
At present, certain monitoring and sensing equipment is deployed in part of high-voltage cable channels, but the following problems exist:
(1) the environment of a part of cable channels is very severe, a power supply and a wired communication link cannot be provided, and conventional equipment cannot supply power and has high communication difficulty;
(2) although the traditional online monitoring system has a large coverage and can continuously monitor in real time, the traditional online monitoring system is complex to install, high in cost and low in economy;
(3) various sensor manufacturers exist, monitored sensing information is isolated and dispersed, a unified system architecture and a data model are lacked, the fusion among a plurality of systems is difficult to realize, the system is difficult to apply in a large scale and the like;
(4) the cable line shows the phenomenon of accelerated growth in the application of urban power transmission and distribution networks, the urban cabling rate is continuously improved, the number of managers of cables and pipe ditches is limited, and the increasing demands are difficult to meet through manual inspection and the traditional high-cost online monitoring at present, so that monitoring blind areas and management problems exist in the daily work of power grid operation units;
(5) the monitoring of the cable joint by the sensing equipment in the existing cable channel still stays in the conventional contrastive analysis of the temperature and the single threshold value or the contrastive analysis of the grounding current and the single threshold value, and the effective monitoring of the safe and stable operation of the cable joint cannot be effectively ensured.
Disclosure of Invention
In order to solve the defects of the prior art, the invention provides a distributed cable comprehensive online monitoring device and a distributed cable comprehensive online monitoring method, which can adapt to complex environments such as a common cable tunnel, a cable joint well without a power supply, a cable channel, an outdoor terminal tower and the like, realize the online real-time monitoring of the whole process of a distributed cable through a control terminal designed based on edge calculation, and improve the accuracy of a monitoring result through a preset monitoring model.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention provides a distributed cable comprehensive online monitoring device in a first aspect.
The utility model provides a distributed cable synthesizes on-line monitoring device which characterized in that:
the method comprises the following steps: the system comprises a control terminal, a cable body monitoring unit and a cable channel environment monitoring unit, wherein the cable body monitoring unit and the cable channel environment monitoring unit are communicated with the control terminal;
the control terminal can obtain a cable online monitoring result according to the acquired cable body monitoring data, the acquired cable channel environment monitoring data and a preset monitoring model;
wherein, predetermine the monitoring model and include that cable joint judges unusually, include:
and obtaining the total abnormal judgment result of the cable joint according to the comparison of the weighted sum of the grounding current abnormal judgment result, the cable joint temperature abnormal judgment result, the grounding current historical trend abnormal judgment result and the cable joint temperature historical trend abnormal judgment result with a preset threshold value.
Further, the cable body monitoring unit includes: a current monitoring element and a temperature monitoring element;
the cable channel environment monitoring unit includes: temperature and humidity monitoring element.
Furthermore, the control terminal is a nano watt level microcontroller, the microcontroller adopts an interrupt drive management mode, and the control terminal is in wireless communication connection with an external control terminal;
the PVD dynamic electric energy monitoring, the multi-voltage threshold management and the real-time electric quantity monitoring are carried out on the battery through battery power supply, and when the electric quantity of the battery is smaller than a preset threshold value or the electric quantity consumption speed of the battery is larger than the preset threshold value, abnormal warning of the electric quantity of the battery is carried out.
Further, the ratio of the maximum value of the three-phase grounding current to the minimum value of the three-phase grounding current is the ratio of the three-phase current extreme values;
when the three-phase grounding current is smaller than a first threshold, the ratio of the three-phase grounding current to the cable running current is smaller than a second threshold, and the current extremum ratio is smaller than a third threshold, the grounding current state is normal;
when the three-phase grounding current is larger than the first threshold and smaller than the fourth threshold, or the ratio of the three-phase grounding current to the cable running current is larger than the second threshold and smaller than the fifth threshold, or the current extremum ratio is larger than the second threshold and smaller than the sixth threshold, the grounding current state is a serious defect;
and when the three-phase grounding current is greater than the fourth threshold, or the ratio of the three-phase grounding current to the cable running current is greater than the fifth threshold, or the current extremum ratio is greater than the sixth threshold, the grounding current state is an emergency defect.
Further, predetermine the monitoring model and still include cable joint temperature monitoring model, include:
when the maximum value of the three-phase temperature is smaller than a seventh threshold value and the maximum value of the temperature difference between the three phases is smaller than an eighth threshold value, the temperature of the cable joint is normal;
when the maximum value of the three-phase temperature is greater than a seventh threshold value and less than a ninth threshold value, and the maximum value of the temperature difference between the three phases is greater than an eighth threshold value and less than a tenth threshold value, the temperature of the cable joint is seriously defective;
and when the maximum value of the three-phase temperature is greater than the ninth threshold value and the maximum value of the temperature difference between the three phases is greater than the tenth threshold value, the temperature of the cable joint is critical.
Further, the preset monitoring model further comprises a ground current historical trend analysis model, which comprises:
when the absolute value maximum value of the corresponding difference value between the first M current data in the current grounding current set and the first M current data in the historical grounding current set is smaller than an eleventh threshold value, the grounding current is normal;
and when the maximum value of the absolute values of the corresponding differences between the first M current data in the current grounding current set and the first M current data in the historical grounding current set is greater than the eleventh threshold, the grounding current is abnormal.
Further, preset monitoring model still includes cable joint temperature historical trend analysis model, includes:
the maximum absolute value of the corresponding difference between the absolute values of the first M temperature data in the current cable joint temperature set and the absolute values of the first M temperature data in the historical cable joint temperature set is smaller than a twelfth threshold, the absolute value of the corresponding difference between the absolute values of the first M temperature data in the current environment temperature set and the absolute values of the first M temperature data in the historical environment temperature set is smaller than a thirteenth threshold, and the cable joint temperature is normal;
the maximum absolute value of the corresponding difference between the absolute values of the first M temperature data in the current cable joint temperature set and the absolute values of the first M temperature data in the historical cable joint temperature set is greater than the twelfth threshold, the maximum absolute value of the corresponding difference between the absolute values of the first M temperature data in the current environment temperature set and the absolute values of the first M temperature data in the historical environment temperature set is smaller than the thirteenth threshold, and the cable joint temperature is abnormal.
The invention provides a distributed cable comprehensive online monitoring method in a second aspect.
A distributed cable comprehensive online monitoring method comprises the following processes:
acquiring cable body monitoring data and cable channel environment monitoring data;
obtaining a cable online monitoring result according to the obtained data and a preset monitoring model;
the method comprises the following steps that a monitoring model is preset, wherein the monitoring model comprises cable joint abnormity judgment;
and the cable joint abnormity judgment obtains the total abnormity judgment result of the cable joint according to the weighted sum of the grounding current abnormity judgment result, the cable joint temperature abnormity judgment result, the grounding current historical trend abnormity judgment result and the cable joint temperature historical trend abnormity judgment result compared with a preset threshold value.
Further, the ratio of the maximum value of the three-phase grounding current to the minimum value of the three-phase grounding current is the ratio of the three-phase current extreme values;
when the three-phase grounding current is smaller than a first threshold, the ratio of the three-phase grounding current to the cable running current is smaller than a second threshold, and the current extremum ratio is smaller than a third threshold, the grounding current state is normal;
when the three-phase grounding current is larger than the first threshold and smaller than the fourth threshold, or the ratio of the three-phase grounding current to the cable running current is larger than the second threshold and smaller than the fifth threshold, or the current extremum ratio is larger than the second threshold and smaller than the sixth threshold, the grounding current state is a serious defect;
and when the three-phase grounding current is greater than the fourth threshold, or the ratio of the three-phase grounding current to the cable running current is greater than the fifth threshold, or the current extremum ratio is greater than the sixth threshold, the grounding current state is an emergency defect.
Further, predetermine the monitoring model and still include cable joint temperature monitoring model, include:
when the maximum value of the three-phase temperature is smaller than a seventh threshold value and the maximum value of the temperature difference between the three phases is smaller than an eighth threshold value, the temperature of the cable joint is normal;
when the maximum value of the three-phase temperature is greater than a seventh threshold value and less than a ninth threshold value, and the maximum value of the temperature difference between the three phases is greater than an eighth threshold value and less than a tenth threshold value, the temperature of the cable joint is seriously defective;
and when the maximum value of the three-phase temperature is greater than the ninth threshold value and the maximum value of the temperature difference between the three phases is greater than the tenth threshold value, the temperature of the cable joint is critical.
Further, the preset monitoring model further comprises a ground current historical trend analysis model, which comprises:
when the absolute value of the difference value between the previous M current data in the current grounding current set and the previous M current data in the historical grounding current set is smaller than an eleventh threshold value, the grounding current is normal;
and when the absolute value of the difference value between the previous M current data in the current grounding current set and the previous M current data in the historical grounding current set is greater than the eleventh threshold value, the grounding current is abnormal.
Further, preset monitoring model still includes cable joint temperature historical trend analysis model, includes:
the absolute value of the difference between the absolute values of the first M temperature data in the current cable joint temperature set and the absolute values of the first M temperature data in the historical cable joint temperature set is smaller than a twelfth threshold, the absolute value of the difference between the absolute values of the first M temperature data in the current environment temperature set and the absolute values of the first M temperature data in the historical environment temperature set is smaller than a thirteenth threshold, and the cable joint temperature is normal;
and the absolute value of the difference between the absolute values of the first M temperature data in the current cable joint temperature set and the absolute values of the first M temperature data in the historical cable joint temperature set is greater than a twelfth threshold, the absolute value of the difference between the absolute values of the first M temperature data in the current environment temperature set and the absolute values of the first M temperature data in the historical environment temperature set is less than a thirteenth threshold, and the cable joint temperature is abnormal.
Compared with the prior art, the invention has the beneficial effects that:
1. the on-line monitoring device and the method can adapt to complex environments such as common cable tunnels, cable joint wells without power supplies, cable channels, outdoor terminal towers and the like, realize the on-line real-time monitoring of the whole process of the distributed cable through the control terminal designed based on edge calculation, and improve the accuracy of the monitoring result through the preset monitoring model.
2. According to the online monitoring device and the online monitoring method, the total abnormal judgment result of the cable joint is obtained according to the weighted sum of the abnormal judgment result of the grounding current, the abnormal judgment result of the cable joint temperature, the abnormal judgment result of the historical trend of the grounding current and the abnormal judgment result of the historical trend of the cable joint temperature, and the preset threshold value, so that the accuracy of the abnormal judgment of the cable joint is improved.
3. The on-line monitoring device and the method of the invention monitor the abnormity of the grounding current according to the maximum value of the three-phase grounding current, the minimum value of the three-phase grounding current, the grounding currents of all the phases and the cable running current, thereby improving the accuracy of monitoring the abnormity of the grounding current of the cable joint.
4. The on-line monitoring device and the method of the invention combine the maximum temperature value of each phase and the maximum temperature difference of each phase to carry out the temperature abnormity analysis of the cable joint, thereby avoiding the judgment error caused by the simple temperature threshold judgment and improving the accuracy of the temperature abnormity analysis.
5. The on-line monitoring device and the method of the invention combine the temperature historical data and the grounding current historical data to analyze the temperature trend and the grounding current trend, thereby improving the accuracy of judging the temperature abnormity of the cable joint and the grounding current abnormity of the cable joint.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
Fig. 1 is a schematic view of a distributed cable integrated online monitoring device provided in embodiment 1 of the present invention.
Detailed Description
The invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Example 1:
the embodiment 1 of the present invention provides a distributed cable integrated online monitoring device, including: the system comprises a control terminal, a cable body monitoring unit and a cable channel environment monitoring unit, wherein the cable body monitoring unit and the cable channel environment monitoring unit are communicated with the control terminal;
the control terminal can obtain a cable online monitoring result according to the acquired cable body monitoring data, the acquired cable channel environment monitoring data and a preset monitoring model;
wherein, predetermine the monitoring model and include that cable joint judges unusually, include:
and obtaining the total abnormal judgment result of the cable joint according to the comparison of the weighted sum of the grounding current abnormal judgment result, the cable joint temperature abnormal judgment result, the grounding current historical trend abnormal judgment result and the cable joint temperature historical trend abnormal judgment result with a preset threshold value.
The cable body monitoring unit includes: a current monitoring element and a temperature monitoring element;
the cable channel environment monitoring unit includes: temperature and humidity monitoring element. It is understood that the cable channel environment monitoring unit may further include other monitoring elements such as a water level monitoring element, a fire door state monitoring element, and a smoke detecting element.
Still include the cable channel safety protection unit with control terminal communication connection, the cable channel safety protection unit includes: the anti-theft monitoring component comprises an anti-theft monitoring element, a well lid monitoring component and a video monitoring component.
The control terminal is a nano watt level microcontroller, the microcontroller adopts an interrupt drive management mode, and the control terminal is in wireless communication connection with an external control terminal;
the PVD dynamic electric energy monitoring, the multi-voltage threshold management and the real-time electric quantity monitoring are carried out on the battery through battery power supply, and when the electric quantity of the battery is smaller than a preset threshold value or the electric quantity consumption speed of the battery is larger than the preset threshold value, abnormal warning of the electric quantity of the battery is carried out.
More specifically, the method comprises the following steps:
the control terminal is a key device applied to data aggregation and local calculation of a key cable channel or a key part (a joint or a hidden danger part); the device adopts a high-speed microprocessor, runs an embedded operating system, has a remote management and maintenance function, and simultaneously supports the access of an MQTT Internet of things protocol to a high-voltage cable lean management and control platform;
the configuration of the control terminal is as follows: a Linux operating system is adopted, software is APP-based, and the functions of the equipment are defined by the software; the method supports the adaptation of various sensor communication protocols, realizes the convergence access of various monitoring devices, and has high expansibility; carrying a unified edge frame and an information model to realize local analysis of data; the method has the advantages of edge computing capability and remote management function; the system supports various uplink networks such as 4G/5G and Ethernet and MQTT Internet of things protocols, supports various networking modes such as RS485, ZigBee and WiFi in a downlink mode, and supports a COAP Internet of things protocol; protection class IP 68.
The current monitoring element adopts a flexible Rogowski coil, can be used for collecting the current and the running current of the protective layer, applies the technologies of low-power consumption collection, battery power supply, wireless communication and the like, supports the timed upward delivery and the upward delivery exceeding the threshold value change, and has the characteristics of wide measurement range, high precision, stability, reliability, safety, reliability and the like compared with the traditional iron core type current collecting device.
The temperature monitoring element is a cable joint infrared array type temperature measuring module or a wireless flexible temperature measuring belt.
The cable joint infrared array type temperature measurement module adopts an innovative non-contact temperature measurement technology, does not need to be in contact with a measured object, does not damage the temperature distribution of the measured object, is simple and convenient to operate, is safe and reliable, and is suitable for measuring the surface temperature of the cable joint in a high-voltage cable channel. The cable joint infrared array temperature measuring device adopts technologies such as 32 x 24, 80 x 60 and 160 x 120 infrared array sensors, a low-power consumption acquisition board, battery power supply, wireless ZigBee communication and the like, temperature values in a joint temperature measuring area can be fed back, the highest temperature, the lowest temperature and the average temperature are sent upwards, the device can flexibly configure a data uploading period, and the device has an IP68 protection grade.
The outdoor terminal wireless infrared array temperature measuring device adopts technologies such as a high-resolution 160 x 120 infrared array sensor, a low-power-consumption acquisition board, battery power supply and wireless ZigBee communication, has remote and high-precision monitoring capability, can feed back temperature values in a monitoring area and a feedback area range, and can flexibly configure data uploading period.
The wireless flexible temperature measuring belt adopts the belt-shaped flexible distributed multi-point temperature measuring belt, a low-power-consumption acquisition technology, a battery power supply technology, a wireless ZigBee communication technology and other technologies and a time-configurable intermittent working mode, so that the whole temperature distributed measurement of a measured object can be realized, the length and temperature measuring points of the temperature measuring belt can be increased according to actual requirements, and data transmission is carried out through the wireless ZigBee.
The flexible strip-shaped distributed temperature measuring belt is directly laid on the cable joint and used for online measurement of the temperature of the cable joint, the monitoring of the highest temperature, the lowest temperature and the average temperature of the whole cable joint can be realized, and meanwhile, the flexible strip-shaped distributed temperature measuring belt is high in measurement precision, convenient to actually deploy and low in cost.
The water level monitoring element is used for measuring a liquid level sensor and supplying power to a battery, the low-power consumption acquisition main board is used for acquiring data of the pressure sensor at regular time, data transmission is carried out through the wireless ZigBee, and the depth of accumulated water in the cable channel environment is monitored at regular time. The device adopts a hydrostatic pressure principle that pressure is in direct proportion to water depth, and water level is measured by using a water pressure sensitive integrated component. When the sensor is fixed at a certain point underwater, the height of the water level can be indirectly measured by adding the pressure height of the water column above the measuring point and the height of the point.
The temperature and humidity monitoring element adopts a temperature and humidity sensor with the characteristics of high precision, interference resistance and the like, and combines the technologies of battery power supply, a low-power-consumption embedded system, wireless ZigBee communication and the like to realize the timing monitoring of the environment temperature and humidity.
The gas monitoring element realizes the timing monitoring of gas in the channel by sampling the signals of the flammable, explosive, toxic and harmful gas sensors and combining the technologies of battery power supply, low power consumption, wireless ZigBee communication and the like.
The intelligent electronic inner well lid anti-intrusion system adopts a real-time monitoring mode, effectively monitors illegal access, damage and theft, and the opening and closing state of the outer well lid and loss, and has multiple opening modes, stable and reliable mechanical structure, can well adapt to severe working environment in a pipe gallery, and can effectively attack illegal intrusion. The Bluetooth is supported to open, the local opening, the remote opening and the internal escape are opened in various opening modes, and the multifunctional remote control device has the characteristics of outer well cover monitoring, battery power supply, low power consumption and the like.
The wireless anti-theft cutting monitoring element is composed of an anti-theft cutting wire, a vibration sensor and a wireless low-power consumption data acquisition board, and is mainly used for anti-theft cutting of a cable grounding wire.
The wireless smoke detection monitoring element realizes monitoring of smoke concentration through wireless smoke detection, and the detector adopts a smoke sensor and a low-power consumption collection main board which are designed in a special structure, so that the smoke detection device has the characteristics of stability, reliability, low power consumption, wireless communication, convenience in deployment and the like. The wireless smoke sensing device is powered by a battery, a low-power-consumption control strategy is adopted, smoke concentration of smoke channel environment is collected at regular time, and the low-power-consumption collection main board transmits data collected by the light beam sensor in a wireless ZigBee communication mode.
Prevent fire door state monitoring unit by integral type door magnetic switch, wireless low-power consumption data acquisition board constitute, mainly used prevents the monitoring of fire door switching state, prevents the fire door state through door magnetic switch real-time supervision, carries out data acquisition through the low-power consumption acquisition board, prevents that the fire door state transmits through wireless zigBee to the fire door state monitoring is prevented in the realization. The water-proof and anti-interference type water-proof valve has the characteristics of strong anti-interference performance, sensitive response, sealing, water proofing and the like.
The video monitoring component adopts a front-end pan-tilt-ball machine which is flexible to use, and can adapt to complex monitoring scenes. The ball machine is internally provided with an integrated camera and a holder structure, and can monitor targets with different directions and object distances around manually or automatically. The zoom lens can enlarge and reduce a target object, the tripod head structure can control the ball machine to change the monitoring position, a plurality of preset points can be set, and multi-point video capture is realized.
Meanwhile, based on technologies such as digital video, voice signals, remote monitoring and low power consumption, the environment in the channel is monitored in real time on line, image signals are transmitted through Ethernet/WIFI, multipoint timing snapshot or remote active snapshot site abnormal conditions can be achieved, daily conditions of the tunnel are monitored, and operation safety and video inspection efficiency of the cable channel are improved.
It will be appreciated that in other embodiments, a gun-type camera video monitoring device may be used, which is suitable for use in various complex environments, areas with insufficient light, and areas where lighting devices cannot be installed at night.
The device described in this embodiment has the following features:
1) the device adopts battery power supply, wireless communication and distributed deployment, and is very suitable for severe environment application scenes such as power-free and communication-free tunnels, cable ducts, calandrias and the like.
2) The site construction is flexible in deployment, and the deployment can be performed in sections according to the site conditions.
3) The system framework of the equipment side Internet of things is met, and the Internet of things management platform can be accessed to realize data Internet of things.
4) And a unified edge computing frame and a standard information model are adopted, and data of different sensing devices are interconnected and intercommunicated.
5) Sensing data is collected and accessed, and data access of multiple types of sensors is achieved.
6) And carrying out deep mining analysis on the sensing data by carrying various model algorithms, and realizing data comprehensive analysis, defect intelligent research and judgment and equipment predictive maintenance of different sensing equipment.
7) And intelligently and hierarchically alarming, wherein the defects are intelligently judged to be critical, serious or general early warning/alarming according to the algorithm.
8) Remote configuration, upgrading, maintenance operation and the like.
The distributed cable channel comprehensive online monitoring device provides real-time monitoring and remote management for a cable channel, effectively discriminates value data and defect data in mass data through a data studying and judging means, changes passive treatment into active protection, greatly reduces maintenance time, saves maintenance cost, simultaneously lightens the operation pressure of workers, improves work efficiency, saves labor cost, realizes the promotion of all aspects of high-voltage cable channel online monitoring technology, equipment, operation, management and the like, and provides favorable guarantee for high-voltage cable lean management.
In order to facilitate quick study and judgment of reported event data by operation and maintenance management personnel, the state change and the alarm message of the sensor are bound with the automatic image capturing function of the camera, and the level change of the alarm event is bound with the automatic image capturing function of the camera. When the equipment state and the alarm event level change, a picture captured by a camera can be uploaded synchronously with the alarm event/message, and management personnel are assisted to carry out alarm study and judgment, and the method specifically comprises the following steps:
1) water level out-of-limit alarm linkage chart grabbing process
The water level monitoring unit is deployed in a cable channel, when the water level exceeding is detected, alarm information can be sent to the control terminal, the terminal starts a linkage control APP, a current equipment linkage strategy is loaded, the working state of the current water level monitoring unit is checked in a circulating mode, when the water level exceeding event is judged, the camera is waken up in a linkage mode, the camera is turned to preset points of the camera, the picture is grabbed and sent to the control terminal, the picture and alarm data are simultaneously sent to a lean management and control platform through the terminal, and auxiliary alarm judgment is carried out.
2) The well lid abnormal movement warning linkage picture grabbing process comprises the following steps:
when the intelligent electronic well lid arranged in the cable channel is abnormally opened, the alarm information can be sent to the control terminal, the terminal starts the linkage control APP, the current equipment linkage strategy is loaded, the current working state of the intelligent electronic well lid is checked in a circulating mode, when the illegal opening event of the well lid is judged, the camera is awakened in a linkage mode, the camera is turned to a preset point position of the camera, the picture is grabbed and sent to the control terminal, the picture and the alarm data are simultaneously sent to the lean management and control platform through the terminal, and the auxiliary alarm study and judgment are carried out.
The common linkage grab picture comprises a manhole cover abnormal movement linkage grab picture, a human body detection person linkage grab picture, a door opening and closing linkage grab picture, a water level out-of-limit linkage grab picture, a smoke sensing alarm linkage grab picture, a fire alarm linkage grab picture and the like.
The opening of the well lid is used for alarming, the water level is used for alarming, the smoke is used for alarming, the fire door is opened for alarming, the linkage camera is used for shooting and interactive verification, and invalid operation and maintenance caused by false alarm of the sensor are reduced.
The embodiment also designs a micro-power consumption design and a high-efficiency power management strategy, which comprises the following contents:
in the aspect of monitoring unit hardware design, core elements such as an MCU (microprogrammed control unit) and an analog circuit in the system use electronic devices with power of a nano watt level, and technologies such as multi-voltage threshold management and PVD (physical vapor deposition) dynamic monitoring are adopted, so that hardware of each part operates under the most efficient working voltage.
In terms of software, an interrupt-driven approach is used that provides maximum performance and computational power with minimal power consumption. The whole system is operated in two working modes of processing and sleeping, and corresponding switching is carried out according to requirements.
In addition, the present embodiment uses ART acceleration or the like to shorten the transition time between the two operation modes. Through a soft and hard combination mode, the average energy consumption of the system is 4mA in a processing mode, and the average window period of the processing mode is 120 ms; the average energy consumption in the sleep mode is 180uA, and the endurance is more than 5 years.
1) System power management
Writing to the system control register may control the state of Cortex-M3 system power consumption.
2) Low power mode
The working Voltage (VDD) of the STM32 is 2.0-3.6V, a required 1.8V power supply is provided through a built-in voltage regulator, and after a main power supply VDD is powered off, a real-time clock (RTC) and a backup register are provided with power supplies through a VBAT pin.
After a system or power reset, the microcontroller is in a run state. When the CPU does not need to continue operating, various low power modes may be utilized to save power, such as when waiting for some external event. The user needs to select an optimal low power consumption mode according to conditions such as minimum power consumption, fastest start time, available wake-up source and the like.
STM32F10xxx has three low power modes:
A) sleep mode (Cortex-M3 core stopped, all peripherals including those of Cortex-M3 core, such as NVIC, System clock (SysTick), etc. are still running);
B) stop mode (all clocks stopped);
C) standby mode (1.8V power off).
Furthermore, in the run mode, power consumption can be reduced by one of the following:
lowering the system clock; the unused peripheral clocks on the APB and AHB buses are turned off.
Table 1: sleep mode
Table 2: low power mode
In the running mode, the speed of any one of the system clocks (SYSCLK, HCLK, PCLK1, PCLK 2) can be reduced by programming the presorting register. Before entering the sleep mode, the prescaler can be used to reduce the clock of the peripheral.
In the run mode, power consumption can be reduced by stopping the supply of clocks (HCLK and PCLKx) to the peripherals and memory at any time. To reduce power consumption even more in sleep mode, the clocks for all peripherals may be turned off before the WFI or WFE instruction is executed. Clocks of the respective peripheral modules are switched by setting an AHB peripheral clock enable register (RCC _ AHBENR), an APB2 peripheral clock enable register (RCC _ APB2 ENR), and an APB1 peripheral clock enable register (RCC _ APB1 ENR).
3) Stop mode
The stop mode is based on the deep sleep mode of Cortex-M3 in combination with a peripheral clock control mechanism, in which the voltage regulator can operate in either a normal or low power mode. At this point all clocks in the 1.8V supply region are stopped, the functions of PLL, HSI and HSE-RC oscillators are disabled, and the SRAM and register contents are preserved. In the stop mode, all I/O pins maintain their state in the run mode. In the stop mode, more power consumption can be reduced by setting the LPDS bit of the power control register (PWR _ CR) to put the internal regulator into a low power consumption mode. If flash programming is in progress, the system does not enter the stop mode until access to the memory is complete. If an access to the APB is ongoing, the system does not enter the stop mode until the access to the APB is completed. By programming the individual control bits, the following functions can be selected:
independent Watchdog (IWDG): the IWDG may be enabled by a key register or hardware selection written to a watchdog. Once the stand-alone watchdog is started, it can no longer be stopped except for a system reset.
Real Time Clock (RTC): set by the RTCEN bit of the backup domain control register (RCC _ BDCR).
Internal RC oscillator (LSI RC): set by the LSION bit of the control/status register (RCC _ CSR).
External 32.768kHz oscillator (LSE): set by the LSEON bit of the backup domain control register (RCC _ BDCR).
In the stop mode, if the ADC and DAC are not turned off before entering the mode, these peripherals still consume current. These 2 peripherals may be turned off by setting the ADON bit of register ADC _ CR2 and the ENx bit of register DAC _ CR to 0. When an interrupt or wake-up event causes the stop mode to be exited, the HSI RC oscillator is selected as the system clock. When the voltage regulator is in a low power mode, there will be an additional start-up delay when the system exits from the stop mode. If the internal regulator is kept on during the stop mode, the exit start-up time is shortened, but the corresponding power consumption is increased.
Through the combination of micro-power design and power management, a plurality of working modes and conversion strategies are configured, so that the power consumption of the device is reduced, the service life of a battery is prolonged, the optimal running state of the device and the maximum utilization rate of a power supply are kept, the requirement on long-term safe and stable running is met, and the running efficiency is ensured.
The overall architecture design of the device follows an internet of things architecture standard system, a cable channel edge internet of things agent terminal (namely a control terminal) is used as a sensing layer edge internet of things agent, through edge calculation and application of an internet of things communication technology, sensing data local collection and intelligent analysis and study are achieved, data collection is accessed to a special lean management and control platform for a high-voltage cable, application functions of related platforms are supported, the real-time performance and reliability of cable body states, cable channel environments and cable channel security monitoring are comprehensively improved, and all-round monitoring and management of the cable channel are achieved.
Edge computing refers to a novel computing model for performing computing at the network edge, the objects of edge computing operation include downlink data from cloud services and uplink data from internet of everything services, and the edge of edge computing refers to any computing and network resources between paths from data sources to cloud computing centers.
And a near-end service is provided nearby by adopting an open platform with the core capabilities of network, calculation, storage and application near the object or data source. The edge calculation is not placed in a unified background, but is completed in the edge node of the front end.
The algorithm for edge calculation is implemented as follows:
a: calculating the current-carrying capacity of the cable: and calculating the current-carrying capacity of the cable according to indexes such as the material of the lead, the current of the cable, the temperature of the cable body and the like.
B: deflection telemetry/telemetry analysis: the intelligent internet of things terminal (namely a control terminal) receives sensor data in real time, judges displacement telecommand and telemetering, immediately uploads the displacement telecommand telemetering data and regularly uploads the telecommand telemetering data.
C: analyzing temperature measurement data: the temperature measurement data is divided into a plurality of event judgment intervals, the highest temperature, the lowest temperature and the average temperature of each interval are calculated, and the calculation results are used for reporting the judgment of the material pipe platform and the local event.
D: judging the type of the event: parameter change, remote sensing volume displacement, remote sensing volume over threshold, remote sensing volume rising/falling rate, trend analysis and synchronous comparison.
E: linkage control: according to the judgment of the linkage condition, devices such as an intelligent linkage water pump, a fireproof door and a well lid are realized, a camera cloud deck is linked to capture/record a video and upload and awaken dormant equipment, and the fireproof door is locked in the associated interval during fire.
According to the field situation, the intelligent internet of things terminal (namely the control terminal) conducts targeted deep analysis on the perception data through the various configured data analysis models APP.
1) Basic information model of equipment
The method is used for intelligently identifying the basic information of the high-voltage cable equipment ledger, comprises key information of cable accessories and sensors, such as manufacturers, equipment types, equipment models, equipment codes, production dates and commissioning dates, is deeply integrated with the application of high-voltage cable lean management services, and aims to improve the information sharing capability in the operation and detection link and tamp the foundation of equipment life-cycle management.
2) Environmental security model
Environmental safety information model comprehensively utilizes gas (O) in channel environment2、CH4、H2S, CO), perception parameters such as humiture, smoke, water level, the security situation of aassessment passageway internal environment, unusual condition in discernment and the early warning passageway includes: the water level is ultrahigh, the temperature is out of limit, the concentration of toxic and harmful gases is out of limit and the like, and the types and the severity of the defects are input into a comprehensive analysis model.
3) Channel body safety model
And recognizing and early warning the abnormal condition of the channel body by using sensing parameters such as environment temperature and humidity, water accumulation condition and images. And inputting the type and severity of the defect into the comprehensive analysis model.
4) Cable joint health model
The high-voltage cable is comprehensively utilized to analyze the running state of the cable connector by utilizing state parameters such as grounding current data, connector surface temperature and the like, identify and early warn abnormal states such as connector degradation, dampness, local overheating and the like, and input the severity into a comprehensive analysis model.
5) Security model
Parameters such as well covers, access controls, video images and the like are comprehensively utilized, and illegal invasion in the channel is monitored through the parameters such as the access controls, the well covers and the video images. And inputting the type and severity of the defect into the comprehensive analysis model.
6) Comprehensive analysis model
The comprehensive evaluation model is used for analyzing the overall operation state of the cable body, the channel environment and the channel security. The model integrates analysis results of all sub-models, and comprehensive state evaluation and risk grading evaluation are performed on the high-voltage cable by applying technologies such as edge calculation, Internet of things and the like. The intelligent internet of things terminal (namely a control terminal) pushes information such as equipment state, defect type, defect part, risk assessment early warning and fault position to a platform and application, so that the functions of real-time sensing, timely diagnosis and active early warning of high-voltage cable equipment are realized, and operation, maintenance, repair and decision and emergency treatment are assisted.
The specific cable joint health analysis model comprises:
(A) grounding current analysis model
And analyzing the real-time data, the load ratio and the extreme value ratio of the three-phase current, and outputting the ground current defect grade.
IQIndicating a grounding current state, 0 indicating normal/1 indicating serious defect/2 indicating critical defect;
I φ represents A/B/C three-phase grounding current (A),I r Represents the cable running current (A);
Max（I φ ) Is the maximum value of three-phase grounding current, Min: (I φ ) The three-phase grounding current minimum value;
Max（I φ ）/Min（I φ ) Representing the ratio of the three-phase current extreme values;
when satisfy (I φ ＜50 A）∩（I φ /I r ＜0.1）∩（Max（I φ ）/ Min（I φ ) When the ratio is less than 2), the reaction mixture is,I Q =0(ii) a Here, 50A represents a first threshold value, 0.1 is a second threshold value, and 2 is a third threshold value;
when (50A <)I φ ＜100 A）∪（0.1＜I φ /I r ＜0.2）∪（2＜Max（I φ ）/ Min（I φ ) When the ratio is less than 3), the reaction is carried out,I Q =1; wherein 100A is a fourth threshold, 0.2 is a fifth threshold, and 3 is a sixth threshold;
when satisfy (I φ ＞100A）∪（I φ /I r ＞0.2）∪（Max（I φ ）/ Min（I φ ) When the ratio is more than 3), the reaction solution is,I Q =2。
(B) cable joint temperature analysis model
And analyzing according to the temperature of the three-phase cable joint and the interphase temperature difference, and outputting the temperature defect grade.
TQRepresenting temperature data, 0 representing normal/1 representing critical defect/2 representing critical defect;
T a 、T b 、T c a, B, C junction temperature data (in ° c); max (Max)T a ，T b ，T c ) Represents the three-phase temperature maximum;
MAX（T a -T b ，T b -T c ，T a -T c ) Represents the maximum value of the temperature difference between phases;
when (Max: (T a ，T b ，T c ）＜35℃）∩（MAX（T a -T b ，T b -T c ，T a -T c ) At < 2 ℃), TQ= 0; wherein 35 ℃ is a seventh threshold value, and 2 ℃ is an eighth threshold value;
when (35 ℃ C. < Max: (T a ，T b ，T c ）＜70℃）∩（2℃＜MAX（T a -T b ，T b -T c ， T a -T c ) At < 10 ℃ C., TQ= 1; wherein 70 is a ninth threshold, and 10 is a tenth threshold;
when (Max: (T a ，T b ，T c ）＞70℃）∩（MAX（T a -T b ，T b -T c ， T a -T c ) At > 10 ℃ TQ=2。
(B) Grounding current historical trend analysis model
And performing ring ratio analysis according to the day, week and month ground current data, and outputting the defect grade.
IHAnalyzing the historical trend of the grounding current, wherein 0 represents normal and 1 represents abnormal;
i (N) represents N grounding current sets I (0), I (1), …, I (N-1), I (N) collected in a period of time;
ix (M) = Max (i (n)), where x denotes a certain day/week/month, and M maximum values are taken from the i (n) set;
IX-1(M) represents the first M maximum value sets I of grounding current of yesterday/last week/last monthx-1(0)，Ix-1(1)，…，Ix-1(M-1)，Ix-1(M)；
IX(M) represents the first M maximum value sets I of the grounding current of this day/this week/this monthx (M)，Ix (M)，…，Ix (M-1)，Ix (M)；
When MAX | IX(M)-IX-1When (M) | < 5A, IH=0；
When MAX | IX(M)-IX-1(M) | > 5A, IH=1；
Where 5A is an eleventh threshold value.
(D) Cable joint temperature historical trend analysis model
Performing ring ratio analysis according to the temperature data of the day, week and month joints, and outputting the defect grade;
THanalyzing historical trend of the joint temperature, wherein 0 represents normal and 1 represents abnormal;
t (N) represents N temperature data sets T (0), T (1), …, T (N-1), T (N) collected in a period of time;
TX(M) = Max (t (n)), where x denotes a certain day/week/month, and M maximum values are taken from the t (n) set;
TX-1(M) represents the yesterday/last week/last month temperature value, the first M temperature maximum value sets Tx-1（1），…，Tx-1（M-1），Tx-1（M）；
TX(M) represents the temperature data of the joint today/this week/this month, the first M temperature maxima, set Tx（0），Tx（1），…，Tx（M-1），Tx（M）；
TeX(M) and Te（X-1）(M) represents the first M maxima of the ambient temperature of a day/week/month.
When MAX | | TX(M)|-|TX-1(M)||＜25℃∩MAX||TeX(M)|-|TeX-1(M) | < 25 ℃ TH= 0; wherein the first 25 ℃ in the above formula is the twelfth threshold, and the second 25 ℃ in the above formula is the thirteenth threshold.
When MAX | | TX(M)|-|TX-1(M)||＞25℃∩MAX||TeX(M)|-|TeX-1(M) | < 25 ℃ TH=1。
(E) Cable joint health analysis model
And (4) integrating the grounding current, the joint temperature and the historical trend, evaluating the health state of the cable joint, and outputting a health state value H of the cable joint.
Grounding current analysis model IQTemperature analysis model TQThe weights in model H each account for 20%;
historical trend of ground current IHHistorical trend T of joint temperatureHThe weights in model H each account for 30%;
H=20%*IQ+20%*TQ+30%*IH+30%*TH；
when H is less than 20%, the health state of the cable joint is normal;
when H is more than or equal to 20%, representing serious defects, and giving a serious alarm to the health state of the cable joint;
and when the H is more than or equal to 40 percent, an emergency defect is indicated, and emergency alarm is given to the health state of the cable joint.
Example 2:
the embodiment 2 of the invention provides a distributed cable comprehensive online monitoring method, which comprises the following processes:
acquiring cable body monitoring data, cable channel environment monitoring data and cable channel safety protection data;
obtaining a cable online monitoring result according to the obtained data and a preset monitoring model;
wherein, predetermine the monitoring model and include: judging a cable channel environment data threshold, judging a cable channel safety protection data threshold and judging a cable joint abnormity;
and the cable joint abnormity judgment obtains the total abnormity judgment result of the cable joint according to the weighted sum of the grounding current abnormity judgment result, the cable joint temperature abnormity judgment result, the grounding current historical trend abnormity judgment result and the cable joint temperature historical trend abnormity judgment result compared with a preset threshold value.
Specifically, the method for judging the abnormality of the cable joint comprises the following steps:
(A) grounding current analysis model
And analyzing the real-time data, the load ratio and the extreme value ratio of the three-phase current, and outputting the ground current defect grade.
IQIndicating a grounding current state, 0 indicating normal/1 indicating serious defect/2 indicating critical defect;
I φ represents A/B/C three-phase grounding current (A),I r Indicating cable operationA current (A);
Max（I φ ) Is the maximum value of three-phase grounding current, Min: (I φ ) The three-phase grounding current minimum value;
Max（I φ ）/Min（I φ ) Representing the ratio of the three-phase current extreme values;
when satisfy (I φ ＜50 A）∩（I φ /I r ＜0.1）∩（Max（I φ ）/ Min（I φ ) When the ratio is less than 2), the reaction mixture is,I Q =0(ii) a Here, 50A represents a first threshold value, 0.1 is a second threshold value, and 2 is a third threshold value;
when (50A <)I φ ＜100 A）∪（0.1＜I φ /I r ＜0.2）∪（2＜Max（I φ ）/ Min（I φ ) When the ratio is less than 3), the reaction is carried out,I Q =1; wherein 100A is a fourth threshold, 0.2 is a fifth threshold, and 3 is a sixth threshold;
when satisfy (I φ ＞100A）∪（I φ /I r ＞0.2）∪（Max（I φ ）/ Min（I φ ) When the ratio is more than 3), the reaction solution is,I Q =2。
(B) cable joint temperature analysis model
And analyzing according to the temperature of the three-phase cable joint and the interphase temperature difference, and outputting the temperature defect grade.
TQRepresenting temperature data, 0 representing normal/1 representing critical defect/2 representing critical defect;
T a 、T b 、T c a, B, C junction temperature data (in ° c); max (Max)T a ，T b ，T c ) Represents the three-phase temperature maximum;
MAX（T a -T b ，T b -T c ，T a -T c ) Represents the maximum value of the temperature difference between phases;
when (Max: (T a ，T b ，T c ）＜35℃）∩（MAX（T a -T b ，T b -T c ，T a -T c ) At < 2 ℃), TQ= 0; wherein 35 ℃ is a seventh threshold value, and 2 ℃ is an eighth threshold value;
when (35 ℃ C. < Max: (T a ，T b ，T c ）＜70℃）∩（2℃＜MAX（T a -T b ，T b -T c ， T a -T c ) At < 10 ℃ C., TQ= 1; wherein 70 is a ninth threshold, and 10 is a tenth threshold;
when (Max: (T a ，T b ，T c ）＞70℃）∩（MAX（T a -T b ，T b -T c ， T a -T c ) At > 10 ℃ TQ=2。
(B) Grounding current historical trend analysis model
And performing ring ratio analysis according to the day, week and month ground current data, and outputting the defect grade.
IHAnalyzing the historical trend of the grounding current, wherein 0 represents normal and 1 represents abnormal;
i (N) represents N grounding current sets I (0), I (1), …, I (N-1), I (N) collected in a period of time;
ix (M) = Max (i (n)), where x denotes a certain day/week/month, and M maximum values are taken from the i (n) set;
IX-1(M) represents the first M maximum value sets I of grounding current of yesterday/last week/last monthx-1(0)，Ix-1(1)，…，Ix-1(M-1)，Ix-1(M)
IX(M) represents the first M maximum value sets I of the grounding current of this day/this week/this monthx (M)，Ix (M)，…，Ix (M-1)，Ix (M)；
When MAX | IX(M)-IX-1When (M) | < 5A, IH=0；
When MAX | IX(M)-IX-1(M) | > 5A, IH=1；
Where 5A is an eleventh threshold value.
(D) Cable joint temperature historical trend analysis model
Performing ring ratio analysis according to the temperature data of the day, week and month joints, and outputting the defect grade;
THanalyzing historical trend of the joint temperature, wherein 0 represents normal and 1 represents abnormal;
t (N) represents N temperature data sets T (0), T (1), …, T (N-1), T (N) collected in a period of time;
TX(M) = Max (t (n)), where x denotes a certain day/week/month, and M maximum values are taken from the t (n) set;
TX-1(M) represents the yesterday/last week/last month temperature value, the first M temperature maximum value sets Tx-1（1），…，Tx-1（M-1），Tx-1（M）；
TX(M) represents the temperature data of the joint today/this week/this month, the first M temperature maxima, set Tx（0），Tx（1），…，Tx（M-1），Tx（M）；
TeX(M) and Te（X-1）(M) represents the first M maxima of the ambient temperature of a day/week/month.
When MAX | | TX(M)|-|TX-1(M)||＜25℃∩MAX||TeX(M)|-|TeX-1(M) | < 25 ℃ TH= 0; wherein the first 25 deg.C in the above formula is the twelfth threshold, and the second 2 in the above formula5 ℃ is the thirteenth threshold.
When MAX | | TX(M)|-|TX-1(M)||＞25℃∩MAX||TeX(M)|-|TeX-1(M) | < 25 ℃ TH=1。
(E) Cable joint health analysis model
And (4) integrating the grounding current, the joint temperature and the historical trend, evaluating the health state of the cable joint, and outputting a health state value H of the cable joint.
Grounding current analysis model IQTemperature analysis model TQThe weights in model H each account for 20%;
historical trend of ground current IHHistorical trend T of joint temperatureHThe weights in model H each account for 30%;
H=20%*IQ+20%*TQ+30%*IH+30%*TH；
when H is less than 20%, the health state of the cable joint is normal;
when H is more than or equal to 20%, representing serious defects, and giving a serious alarm to the health state of the cable joint;
and when the H is more than or equal to 40 percent, an emergency defect is indicated, and emergency alarm is given to the health state of the cable joint.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a distributed cable synthesizes on-line monitoring device which characterized in that:
the method comprises the following steps: the system comprises a control terminal, a cable body monitoring unit and a cable channel environment monitoring unit, wherein the cable body monitoring unit and the cable channel environment monitoring unit are communicated with the control terminal;
the control terminal can obtain a cable online monitoring result according to the acquired cable body monitoring data, the acquired cable channel environment monitoring data and a preset monitoring model;
wherein, predetermine the monitoring model and include that cable joint judges unusually, include:
and obtaining the total abnormal judgment result of the cable joint according to the comparison of the weighted sum of the grounding current abnormal judgment result, the cable joint temperature abnormal judgment result, the grounding current historical trend abnormal judgment result and the cable joint temperature historical trend abnormal judgment result with a preset threshold value.
2. The distributed cable integrated on-line monitoring device of claim 1, wherein:
the cable body monitoring unit includes: a current monitoring element and a temperature monitoring element;
the cable channel environment monitoring unit includes: temperature and humidity monitoring element.
3. The distributed cable integrated on-line monitoring device of claim 1, wherein:
the control terminal is a nano watt level microcontroller, the microcontroller adopts an interrupt drive management mode, and the control terminal is in wireless communication connection with an external control terminal;
the PVD dynamic electric energy monitoring, the multi-voltage threshold management and the real-time electric quantity monitoring are carried out on the battery through battery power supply, and when the electric quantity of the battery is smaller than a preset threshold value or the electric quantity consumption speed of the battery is larger than the preset threshold value, abnormal warning of the electric quantity of the battery is carried out.
4. The distributed cable integrated on-line monitoring device of claim 1, wherein:
the ratio of the maximum value of the three-phase grounding current to the minimum value of the three-phase grounding current is the ratio of the three-phase current extreme values;
when the three-phase grounding current is smaller than a first threshold, the ratio of the three-phase grounding current to the cable running current is smaller than a second threshold, and the current extremum ratio is smaller than a third threshold, the grounding current state is normal;
when the three-phase grounding current is larger than the first threshold and smaller than the fourth threshold, or the ratio of the three-phase grounding current to the cable running current is larger than the second threshold and smaller than the fifth threshold, or the current extremum ratio is larger than the second threshold and smaller than the sixth threshold, the grounding current state is a serious defect;
and when the three-phase grounding current is greater than the fourth threshold, or the ratio of the three-phase grounding current to the cable running current is greater than the fifth threshold, or the current extremum ratio is greater than the sixth threshold, the grounding current state is an emergency defect.
5. The distributed cable integrated on-line monitoring device of claim 1, wherein:
predetermine monitoring model still includes cable joint temperature monitoring model, includes:
when the maximum value of the three-phase temperature is smaller than a seventh threshold value and the maximum value of the temperature difference between the three phases is smaller than an eighth threshold value, the temperature of the cable joint is normal;
when the maximum value of the three-phase temperature is greater than a seventh threshold value and less than a ninth threshold value, and the maximum value of the temperature difference between the three phases is greater than an eighth threshold value and less than a tenth threshold value, the temperature of the cable joint is seriously defective;
and when the maximum value of the three-phase temperature is greater than the ninth threshold value and the maximum value of the temperature difference between the three phases is greater than the tenth threshold value, the temperature of the cable joint is critical.
6. The distributed cable integrated on-line monitoring device of claim 1, wherein:
the preset monitoring model further comprises a grounding current historical trend analysis model, and the method comprises the following steps:
when the absolute value maximum value of the corresponding difference value between the first M current data in the current grounding current set and the first M current data in the historical grounding current set is smaller than an eleventh threshold value, the grounding current is normal;
and when the maximum value of the absolute values of the corresponding differences between the first M current data in the current grounding current set and the first M current data in the historical grounding current set is greater than the eleventh threshold, the grounding current is abnormal.
7. The distributed cable integrated on-line monitoring device of claim 1, wherein:
the preset monitoring model further comprises a cable joint temperature historical trend analysis model, and the preset monitoring model comprises:
the maximum absolute value of the corresponding difference between the absolute values of the first M temperature data in the current cable joint temperature set and the absolute values of the first M temperature data in the historical cable joint temperature set is smaller than a twelfth threshold, the absolute value of the corresponding difference between the absolute values of the first M temperature data in the current environment temperature set and the absolute values of the first M temperature data in the historical environment temperature set is smaller than a thirteenth threshold, and the cable joint temperature is normal;
the maximum absolute value of the corresponding difference between the absolute values of the first M temperature data in the current cable joint temperature set and the absolute values of the first M temperature data in the historical cable joint temperature set is greater than the twelfth threshold, the maximum absolute value of the corresponding difference between the absolute values of the first M temperature data in the current environment temperature set and the absolute values of the first M temperature data in the historical environment temperature set is smaller than the thirteenth threshold, and the cable joint temperature is abnormal.
8. A distributed cable comprehensive online monitoring method is characterized by comprising the following processes:
acquiring cable body monitoring data and cable channel environment monitoring data;
obtaining a cable online monitoring result according to the obtained data and a preset monitoring model;
the method comprises the following steps that a monitoring model is preset, wherein the monitoring model comprises cable joint abnormity judgment;
and the cable joint abnormity judgment obtains the total abnormity judgment result of the cable joint according to the weighted sum of the grounding current abnormity judgment result, the cable joint temperature abnormity judgment result, the grounding current historical trend abnormity judgment result and the cable joint temperature historical trend abnormity judgment result compared with a preset threshold value.
9. The distributed cable integrated on-line monitoring method according to claim 8,
the ratio of the maximum value of the three-phase grounding current to the minimum value of the three-phase grounding current is the ratio of the three-phase current extreme values;
when the three-phase grounding current is smaller than a first threshold, the ratio of the three-phase grounding current to the cable running current is smaller than a second threshold, and the current extremum ratio is smaller than a third threshold, the grounding current state is normal;
when the three-phase grounding current is larger than the first threshold and smaller than the fourth threshold, or the ratio of the three-phase grounding current to the cable running current is larger than the second threshold and smaller than the fifth threshold, or the current extremum ratio is larger than the second threshold and smaller than the sixth threshold, the grounding current state is a serious defect;
when the three-phase grounding current is larger than a fourth threshold, or the ratio of the three-phase grounding current to the cable running current is larger than a fifth threshold, or the current extremum ratio is larger than a sixth threshold, the grounding current state is an emergency defect;
alternatively, the first and second electrodes may be,
predetermine monitoring model still includes cable joint temperature monitoring model, includes:
when the maximum value of the three-phase temperature is smaller than a seventh threshold value and the maximum value of the temperature difference between the three phases is smaller than an eighth threshold value, the temperature of the cable joint is normal;
when the maximum value of the three-phase temperature is greater than a seventh threshold value and less than a ninth threshold value, and the maximum value of the temperature difference between the three phases is greater than an eighth threshold value and less than a tenth threshold value, the temperature of the cable joint is seriously defective;
and when the maximum value of the three-phase temperature is greater than the ninth threshold value and the maximum value of the temperature difference between the three phases is greater than the tenth threshold value, the temperature of the cable joint is critical.
10. The distributed cable integrated on-line monitoring method according to claim 8,
the preset monitoring model further comprises a grounding current historical trend analysis model, and the method comprises the following steps:
when the absolute value maximum value of the corresponding difference value between the first M current data in the current grounding current set and the first M current data in the historical grounding current set is smaller than an eleventh threshold value, the grounding current is normal;
when the absolute value maximum of the corresponding difference values of the first M current data in the current grounding current set and the first M current data in the historical grounding current set is larger than an eleventh threshold, the grounding current is abnormal;
alternatively, the first and second electrodes may be,
the preset monitoring model further comprises a cable joint temperature historical trend analysis model, and the preset monitoring model comprises:
the maximum absolute value of the corresponding difference between the absolute values of the first M temperature data in the current cable joint temperature set and the absolute values of the first M temperature data in the historical cable joint temperature set is smaller than a twelfth threshold, the absolute value of the corresponding difference between the absolute values of the first M temperature data in the current environment temperature set and the absolute values of the first M temperature data in the historical environment temperature set is smaller than a thirteenth threshold, and the cable joint temperature is normal;
the maximum absolute value of the corresponding difference between the absolute values of the first M temperature data in the current cable joint temperature set and the absolute values of the first M temperature data in the historical cable joint temperature set is greater than the twelfth threshold, the maximum absolute value of the corresponding difference between the absolute values of the first M temperature data in the current environment temperature set and the absolute values of the first M temperature data in the historical environment temperature set is smaller than the thirteenth threshold, and the cable joint temperature is abnormal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111143800.5A CN113566903B (en) | 2021-09-28 | 2021-09-28 | Distributed cable comprehensive online monitoring device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111143800.5A CN113566903B (en) | 2021-09-28 | 2021-09-28 | Distributed cable comprehensive online monitoring device and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113566903A true CN113566903A (en) | 2021-10-29 |
| CN113566903B CN113566903B (en) | 2022-02-22 |
Family
ID=78174886
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111143800.5A Active CN113566903B (en) | 2021-09-28 | 2021-09-28 | Distributed cable comprehensive online monitoring device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113566903B (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114062842A (en) * | 2021-11-10 | 2022-02-18 | 国网江苏省电力有限公司徐州供电分公司 | Cable monitoring method and terminal |
| CN114123511A (en) * | 2021-11-30 | 2022-03-01 | 海南电网有限责任公司 | Method and system for monitoring and analyzing abnormal position of cable power distribution terminal |
| CN114136373A (en) * | 2021-11-19 | 2022-03-04 | 南京征途信息技术有限公司 | Power transmission and transformation SF6 micro-water sensor and use method thereof |
| CN115656683A (en) * | 2022-11-03 | 2023-01-31 | 深圳市铭泽智能电力科技有限公司 | Cable operation monitoring method, system, terminal equipment and storage medium |
| CN115855148A (en) * | 2022-11-24 | 2023-03-28 | 广东新亚光电缆股份有限公司 | Electric parameter monitoring system of 6-35 kV waterproof alternating current power cable |
| CN116298703A (en) * | 2023-05-25 | 2023-06-23 | 深圳市智汉科技有限公司 | Intelligent distribution method and equipment for cable monitor |
| CN116930819A (en) * | 2023-09-18 | 2023-10-24 | 云南电网有限责任公司 | Current terminal strip temperature on-line monitoring method and system based on thermal imaging |
Citations (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101046501A (en) * | 2005-06-10 | 2007-10-03 | 清华大学 | Cable running safety monitoring method |
| CN101788593A (en) * | 2010-01-11 | 2010-07-28 | 山东康威通信技术股份有限公司 | State monitoring and analysis system of power cable sheath grounding current and method thereof |
| CN102681518A (en) * | 2012-05-28 | 2012-09-19 | 辽宁省电力有限公司沈阳供电公司 | Cable network running integrated management system and intelligent control platform |
| CN202758215U (en) * | 2012-05-28 | 2013-02-27 | 辽宁省电力有限公司沈阳供电公司 | Cable network running integrated management system and intelligent control platform |
| CN103199621A (en) * | 2013-03-07 | 2013-07-10 | 安徽省电力公司芜湖供电公司 | On-line monitoring networking of power transformer of intelligent substation |
| CN104050793A (en) * | 2014-06-26 | 2014-09-17 | 国家电网公司 | Intelligent online monitoring and pre-warning system for cable operation condition |
| CN105158657A (en) * | 2015-08-26 | 2015-12-16 | 芜湖市凯鑫避雷器有限责任公司 | High-voltage switch cabinet partial discharge online monitoring system |
| CN205176195U (en) * | 2015-10-22 | 2016-04-20 | 国网甘肃省电力公司天水供电公司 | Insulating status monitoring device of cable jacket |
| CN105910649A (en) * | 2016-06-08 | 2016-08-31 | 石家庄开发区中实检测设备有限公司 | High voltage cable state monitoring system based on direct grounding box and realization method thereof |
| CN106093720A (en) * | 2016-06-08 | 2016-11-09 | 国家电网公司 | High-voltage cable state monitoring system based on protective grounding case and its implementation |
| CN106324428A (en) * | 2016-07-28 | 2017-01-11 | 东南大学 | Big data-based power cable monitoring system and monitoring method |
| CN107483570A (en) * | 2017-08-07 | 2017-12-15 | 北京煜煌科技有限公司 | A kind of cable status on-line monitoring communication system based on fiber optic network |
| US20180059186A1 (en) * | 2015-07-10 | 2018-03-01 | Qibei YANG | High-voltage circuit breaker opening and closing time online monitoring apparatus, smart multi-dimensional big data analyzing expert system for high-voltage circuit breaker in power grid and method therefor |
| CN207335915U (en) * | 2017-09-15 | 2018-05-08 | 四川省东宇信息技术有限责任公司 | A kind of cable monitoring system |
| CN109283433A (en) * | 2018-10-24 | 2019-01-29 | 国网山东省电力公司济南供电公司 | A kind of cable joint-detection device and method for shelf depreciation and grounding circulation |
| CN109389797A (en) * | 2017-08-10 | 2019-02-26 | 株洲中车时代电气股份有限公司 | A kind of fire early-warning system and method for photovoltaic plant |
| WO2019137206A1 (en) * | 2018-01-09 | 2019-07-18 | 北京科东电力控制系统有限责任公司 | Oil and gas pipeline scada system |
| CN110244101A (en) * | 2019-05-23 | 2019-09-17 | 国网山东省电力公司临沂供电公司 | The fixed anti-external force of construction point multi-function of high-tension cable destroys monitoring system and method |
| CN110470955A (en) * | 2019-07-22 | 2019-11-19 | 国网江苏省电力有限公司南京供电分公司 | A kind of city integrated piping lane cable insulation status real-time monitoring system |
| CN110579688A (en) * | 2019-09-24 | 2019-12-17 | 山东康威通信技术股份有限公司 | Cable overhead line hybrid line fault current sampling device and online monitoring system |
| CN110841219A (en) * | 2019-12-06 | 2020-02-28 | 国网智能科技股份有限公司 | Fire monitoring and handling system and method in cable tunnel environment |
| CN111104880A (en) * | 2019-12-09 | 2020-05-05 | 北京国网富达科技发展有限责任公司 | Method, device and system for processing cable tunnel state data |
| CN211826315U (en) * | 2020-03-09 | 2020-10-30 | 浙江日新电气有限公司 | Power cable abnormity monitoring system |
| CN112269100A (en) * | 2020-10-13 | 2021-01-26 | 中国南方电网有限责任公司超高压输电公司柳州局 | Detection method and detection device for intelligent cable trench |
-
2021
- 2021-09-28 CN CN202111143800.5A patent/CN113566903B/en active Active
Patent Citations (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101046501A (en) * | 2005-06-10 | 2007-10-03 | 清华大学 | Cable running safety monitoring method |
| CN101788593A (en) * | 2010-01-11 | 2010-07-28 | 山东康威通信技术股份有限公司 | State monitoring and analysis system of power cable sheath grounding current and method thereof |
| CN102681518A (en) * | 2012-05-28 | 2012-09-19 | 辽宁省电力有限公司沈阳供电公司 | Cable network running integrated management system and intelligent control platform |
| CN202758215U (en) * | 2012-05-28 | 2013-02-27 | 辽宁省电力有限公司沈阳供电公司 | Cable network running integrated management system and intelligent control platform |
| CN103199621A (en) * | 2013-03-07 | 2013-07-10 | 安徽省电力公司芜湖供电公司 | On-line monitoring networking of power transformer of intelligent substation |
| CN104050793A (en) * | 2014-06-26 | 2014-09-17 | 国家电网公司 | Intelligent online monitoring and pre-warning system for cable operation condition |
| US20180059186A1 (en) * | 2015-07-10 | 2018-03-01 | Qibei YANG | High-voltage circuit breaker opening and closing time online monitoring apparatus, smart multi-dimensional big data analyzing expert system for high-voltage circuit breaker in power grid and method therefor |
| CN105158657A (en) * | 2015-08-26 | 2015-12-16 | 芜湖市凯鑫避雷器有限责任公司 | High-voltage switch cabinet partial discharge online monitoring system |
| CN205176195U (en) * | 2015-10-22 | 2016-04-20 | 国网甘肃省电力公司天水供电公司 | Insulating status monitoring device of cable jacket |
| CN106093720A (en) * | 2016-06-08 | 2016-11-09 | 国家电网公司 | High-voltage cable state monitoring system based on protective grounding case and its implementation |
| CN105910649A (en) * | 2016-06-08 | 2016-08-31 | 石家庄开发区中实检测设备有限公司 | High voltage cable state monitoring system based on direct grounding box and realization method thereof |
| CN106324428A (en) * | 2016-07-28 | 2017-01-11 | 东南大学 | Big data-based power cable monitoring system and monitoring method |
| CN107483570A (en) * | 2017-08-07 | 2017-12-15 | 北京煜煌科技有限公司 | A kind of cable status on-line monitoring communication system based on fiber optic network |
| CN109389797A (en) * | 2017-08-10 | 2019-02-26 | 株洲中车时代电气股份有限公司 | A kind of fire early-warning system and method for photovoltaic plant |
| CN207335915U (en) * | 2017-09-15 | 2018-05-08 | 四川省东宇信息技术有限责任公司 | A kind of cable monitoring system |
| WO2019137206A1 (en) * | 2018-01-09 | 2019-07-18 | 北京科东电力控制系统有限责任公司 | Oil and gas pipeline scada system |
| CN109283433A (en) * | 2018-10-24 | 2019-01-29 | 国网山东省电力公司济南供电公司 | A kind of cable joint-detection device and method for shelf depreciation and grounding circulation |
| CN110244101A (en) * | 2019-05-23 | 2019-09-17 | 国网山东省电力公司临沂供电公司 | The fixed anti-external force of construction point multi-function of high-tension cable destroys monitoring system and method |
| CN110470955A (en) * | 2019-07-22 | 2019-11-19 | 国网江苏省电力有限公司南京供电分公司 | A kind of city integrated piping lane cable insulation status real-time monitoring system |
| CN110579688A (en) * | 2019-09-24 | 2019-12-17 | 山东康威通信技术股份有限公司 | Cable overhead line hybrid line fault current sampling device and online monitoring system |
| CN110841219A (en) * | 2019-12-06 | 2020-02-28 | 国网智能科技股份有限公司 | Fire monitoring and handling system and method in cable tunnel environment |
| CN111104880A (en) * | 2019-12-09 | 2020-05-05 | 北京国网富达科技发展有限责任公司 | Method, device and system for processing cable tunnel state data |
| CN211826315U (en) * | 2020-03-09 | 2020-10-30 | 浙江日新电气有限公司 | Power cable abnormity monitoring system |
| CN112269100A (en) * | 2020-10-13 | 2021-01-26 | 中国南方电网有限责任公司超高压输电公司柳州局 | Detection method and detection device for intelligent cable trench |
Non-Patent Citations (1)
| Title |
|---|
| 巫世晶: "《设备管理工程》", 31 May 2005, 中国电力出版社 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114062842A (en) * | 2021-11-10 | 2022-02-18 | 国网江苏省电力有限公司徐州供电分公司 | Cable monitoring method and terminal |
| CN114062842B (en) * | 2021-11-10 | 2024-04-19 | 国网江苏省电力有限公司徐州供电分公司 | Cable monitoring method and terminal |
| CN114136373A (en) * | 2021-11-19 | 2022-03-04 | 南京征途信息技术有限公司 | Power transmission and transformation SF6 micro-water sensor and use method thereof |
| CN114123511A (en) * | 2021-11-30 | 2022-03-01 | 海南电网有限责任公司 | Method and system for monitoring and analyzing abnormal position of cable power distribution terminal |
| CN114123511B (en) * | 2021-11-30 | 2024-04-05 | 海南电网有限责任公司 | Method and system for monitoring and analyzing abnormal position of cable power distribution terminal |
| CN115656683A (en) * | 2022-11-03 | 2023-01-31 | 深圳市铭泽智能电力科技有限公司 | Cable operation monitoring method, system, terminal equipment and storage medium |
| CN115656683B (en) * | 2022-11-03 | 2023-10-31 | 深圳市铭泽智能电力科技有限公司 | Cable operation monitoring method, system, terminal equipment and storage medium |
| CN115855148A (en) * | 2022-11-24 | 2023-03-28 | 广东新亚光电缆股份有限公司 | Electric parameter monitoring system of 6-35 kV waterproof alternating current power cable |
| CN116298703A (en) * | 2023-05-25 | 2023-06-23 | 深圳市智汉科技有限公司 | Intelligent distribution method and equipment for cable monitor |
| CN116298703B (en) * | 2023-05-25 | 2023-07-25 | 深圳市智汉科技有限公司 | Intelligent distribution method and equipment for cable monitor |
| CN116930819A (en) * | 2023-09-18 | 2023-10-24 | 云南电网有限责任公司 | Current terminal strip temperature on-line monitoring method and system based on thermal imaging |
| CN116930819B (en) * | 2023-09-18 | 2023-12-08 | 云南电网有限责任公司 | Current terminal strip temperature on-line monitoring method and system based on thermal imaging |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113566903B (en) | 2022-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113566903B (en) | Distributed cable comprehensive online monitoring device and method | |
| CN204791404U (en) | Long -range thing of electric power networking management system | |
| Campbell et al. | An energy-harvesting sensor architecture and toolkit for building monitoring and event detection | |
| CN107991999A (en) | Power cable tunnel comprehensive monitoring system and method | |
| CN104267704B (en) | Tunnel monitoring system | |
| CN107966534A (en) | Toxic and harmful gas network monitor instrument and monitoring data processing method with sensor detecting element | |
| CN108767983A (en) | A kind of the micromation intelligent on-line monitoring device and monitoring method of low-voltage distribution apparatus | |
| CN210201225U (en) | Intelligent power distribution cabinet | |
| CN206649329U (en) | A kind of power distribution room intelligent environment monitoring equipment | |
| CN108375962A (en) | Offshore boosting station patrols control system | |
| CN107607805A (en) | A kind of distribution overhead line synchronous phasor measurement and operational monitoring terminal and method | |
| CN109547528A (en) | A kind of troubleshooting equipment and method of distribution box | |
| CN103955174A (en) | Building health monitoring system based on building information model technology | |
| CN107796434A (en) | A kind of transmission line galloping on-line monitoring and early warning system | |
| CN208076969U (en) | A kind of Wireless well cover monitoring device | |
| Wei et al. | Multi-parameter monitoring system for coal mine based on wireless sensor network technology | |
| CN208209630U (en) | A kind of the micromation intelligent on-line monitoring device and monitoring system of low-voltage distribution apparatus | |
| CN112803594A (en) | Smart pole and 5G-based transformer substation global Internet of things system and operation method thereof | |
| CN111308239B (en) | Wireless monitoring system for GIS state online monitoring | |
| CN205354324U (en) | Pipeline and utility tunnel monitoring collector to sensor intelligent charging | |
| CN207410117U (en) | A kind of computer room and the online Centralizing inspection device of substation's UPS DC power supplies | |
| CN209103478U (en) | Electric wiring safety intelligence monitoring and controlling instrument | |
| CN113433926B (en) | Ultra-low power consumption fault detection method and ultra-low power consumption elevator opening/closing door fault detection device | |
| CN109900328A (en) | A kind of safety device of Hydropower Unit confined space personnel disengaging and environmental surveillance | |
| CN115200715A (en) | Cable connector matrix type infrared temperature measurement analysis and control linkage method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |