CN112014742A - Battery pack framework live-line monitoring safety early warning system based on Internet of things sensing technology - Google Patents
Battery pack framework live-line monitoring safety early warning system based on Internet of things sensing technology Download PDFInfo
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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- G01R31/389—Measuring internal impedance, internal conductance or related variables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
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Abstract
The invention discloses a battery pack architecture live-line monitoring safety early warning system based on an internet of things sensing technology, which comprises a live-line monitoring module, an intelligent diagnosis module, a timely warning module and a background display terminal, and can realize the functions of active monitoring, intelligent diagnosis and timely warning, and innovatively solve the problems of inadequate maintenance work of a battery room of a machine room, difficult battery state monitoring, difficult battery fault finding, incapability of timely and effectively processing faults and the like. Meanwhile, the system is simple and convenient to implement and operate, users do not need special skills or professional training, and the system is excellent in operability, universality and reproducibility.
Description
Technical Field
The invention relates to the technical field of leakage detection, in particular to a battery pack framework live-line monitoring safety early warning system based on an internet of things sensing technology.
Background
Environmental internal protection and health management of an electric power system are a brand new important field required by electric power safety production. The environmental protection and health management in the power system environment are brought into the production management track, the detection and evaluation work of harmful factors in the power system working environment is carried out, the potential safety hazard and the health hazard risk are effectively reduced, the working safety and health of power workers are protected, and the harmonious unification of development, environment and health is promoted. At present, the automatic inspection of the power system is an important measure for ensuring the safe and stable operation of the power monitoring system, and for a battery chamber, a row of orderly arranged battery racks does not have a complete safe voltage detection system, so that the safety risk of electric shock is brought to automatic operation and maintenance personnel.
In order to strengthen the safety inspection work of the electric power monitoring system, aiming at the current situation of the electric power industry, the UPS battery architecture safety voltage monitoring system based on the internet of things sensing technology is constructed, the risk of the UPS battery architecture can be visualized, the aim of safe and stable operation of the electric power monitoring system is fulfilled, the profit and the benefit are high, and the practical market positioning and the good market prospect are achieved.
In the aspect of internal requirements, the unknown battery state often brings personal safety risks to automatic operation and maintenance inspection personnel, the safety of a power grid is influenced, and economic and social losses are caused. The battery chamber has many parameters which need to be noticed and recorded at ordinary times, such as battery pack voltage, battery current, single battery voltage, single battery internal resistance, battery environment temperature, single battery cathode temperature of the storage battery, battery voltage balance degree, residual capacity, discharge sustainable time and the like, and the battery chamber does not receive much attention at ordinary times, or due to the lack of effective detection means, the working characteristics are not easy to be mastered by operation and maintenance personnel, and power supply faults are easily caused. At present, aiming at the field of automatic battery patrol, the following three problems which need to be solved urgently mainly exist:
problem 1- "unable monitoring" -lacks the monitoring mechanism to battery architecture in the battery room of the automation computer lab at present, can only take place the back passive reply after the battery defect, can't discover in advance that defect hidden danger and potential safety hazard that battery architecture exists, just also can't take timely effectual pertinence measure.
The problem 2 is that the defects of battery pack aging, bulge leakage, heating, electrification and the like are difficult to diagnose accurately without effective means, so that the risks of misjudgment, missed judgment and the like exist, and safety accidents are easily caused.
Problem 3, if detection is only achieved, after the defects of the battery architecture are diagnosed, sound and light alarm, short message notification and other means are not available, and automatic operation and maintenance personnel can hardly master fault information at first time. Therefore, the safety precaution function of the battery architecture becomes very important.
Disclosure of Invention
The invention aims to make up for the defects of the prior art, provides a battery pack architecture live monitoring safety early warning system based on an internet of things sensing technology, can realize the functions of active monitoring, intelligent diagnosis and timely warning, innovatively solves the problems of inadequate maintenance work of a battery room of a machine room, difficult monitoring of the battery state, difficult discovery of battery faults, incapability of timely and effectively processing faults and the like, and has the advantages of simple and convenient implementation and operation, no need of special skills or professional training for users, excellent operability, strong universality and good reproducibility.
In order to solve the technical problems, the invention adopts the following technical scheme:
a battery pack architecture live monitoring safety early warning system based on an internet of things sensing technology comprises:
the system comprises a live monitoring module, an intelligent diagnosis module and a background display terminal, wherein the live monitoring module is used for acquiring the current and the voltage of a battery pack framework and the running state of each battery pack integrated on the battery pack framework in real time and uploading acquired data to the intelligent diagnosis module and the background display terminal, and the running state of each battery pack comprises the total voltage and the total current of the battery pack and the voltage, the internal resistance and the temperature of each battery in the battery pack;
the intelligent diagnosis module is internally provided with current and voltage safety thresholds of a battery pack framework and safety thresholds of running states of all battery packs, the received acquired data are compared with the respective corresponding safety thresholds, if the current and the voltage of the battery pack framework exceed the corresponding safety thresholds, the battery pack framework is indicated to be electrified, meanwhile, battery pack framework alarm information is formed and sent to the background display terminal and the timely alarm module, if any running state of the battery pack exceeds the corresponding safety thresholds, the battery pack is indicated to be in fault, and meanwhile, battery pack alarm information is formed and sent to the background display terminal and the timely alarm module;
the timely warning module comprises an audible and visual alarm and a short message sending platform, the audible and visual alarm carries out audible and visual warning after receiving the battery pack architecture warning information and/or the battery pack warning information, and the short message sending platform is used for sending the battery pack architecture warning information and/or the battery pack warning information to a handheld client so as to inform operation and maintenance personnel in time; and
and the background display terminal is used for displaying the current and the voltage of the battery pack framework, the running state of each battery pack and various alarm information in real time.
Furthermore, the collection of current and voltage in the electrification monitoring module is realized through an electric quantity isolation sensor, the collection of internal resistance is realized through an internal resistance detection sensor, and the collection of temperature is realized through a battery temperature sensor.
Furthermore, the intelligent diagnosis module is also in interactive connection with a human-computer interface, and the setting, deletion, modification and addition of the safety threshold in the intelligent diagnosis module are realized by controlling the human-computer interface.
Furthermore, the audible and visual alarm is arranged in a battery chamber of the automatic machine room provided with the battery pack framework and the battery pack so as to prompt surrounding operation and maintenance personnel in time.
Compared with the prior art, the invention has the beneficial effects that:
(1) the state is totally clear, and the voltage, the temperature and the internal resistance of the battery framework and the battery pack are comprehensively monitored by utilizing a sensor technology, so that the passive discovery of the battery problem is changed into active monitoring, and a basis is provided for the pre-control of the potential safety hazard of the battery.
(2) The method comprises the steps of diagnosing 'all-handle control' -analyzing acquired data information after the battery pack architecture is comprehensively monitored, comprehensively analyzing the incidence relation among the multidimensional data once the battery pack defect occurs, simply identifying the defect according to the content in the existing database, and informing operation and maintenance personnel through a short message platform, so that the intelligent diagnosis of the battery pack architecture is realized, and the diagnosis efficiency and accuracy are improved.
(3) The alarm and the time report are used for intelligently pushing alarm information aiming at the results of comprehensive monitoring and intelligent diagnosis, and the problems existing in the battery pack architecture are comprehensively sensed by automatic operation and maintenance personnel in a field acousto-optic alarm and short message alarm notification mode, so that the problems of live inspection and incapability of mastering the operation state of the battery pack are solved, the inspection scientificity is improved, the development of defect hidden danger is effectively delayed, or the probability of defect occurrence is reduced; aiming at the defect diagnosis result, the current discussion and formulation lack scheme mode is converted into an intelligent aid decision and expert review mode, and the defect processing scientificity is improved.
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In order that the advantages of the invention will be readily understood, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings. Understanding that these drawings depict only typical embodiments of the invention and are not therefore to be considered to be limiting of its scope, the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings.
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a logic diagram of the system of the present invention.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art, that embodiments of the invention may be practiced without one or more of these specific details. In other instances, well-known features have not been described in detail so as not to obscure the embodiments of the invention.
In the following description, a detailed structure will be presented for a thorough understanding of embodiments of the invention. It is apparent that the implementation of the embodiments of the present invention is not limited to the specific details familiar to those skilled in the art. The following detailed description of preferred embodiments of the invention, however, the invention is capable of other embodiments in addition to those detailed.
Embodiments of the invention are described in further detail below with reference to the accompanying drawings:
at present, the battery monitoring in a battery chamber of an automatic machine room is mainly offline monitoring, the monitoring means is single, the monitoring state quantity range is small, and operation and maintenance personnel can hardly master the running state of the battery. The system of the invention perfects the management of the battery pack and the battery pack architecture, can directly see the state of the battery pack architecture, the running state of the battery pack and various alarm information at a background display terminal, and informs operation and maintenance personnel through short messages, thereby taking effective measures in time aiming at battery management.
The invention sets up a battery pack (UPS battery) framework electrification monitoring and safety early warning system based on the Internet of things sensing technology from the perspective of actual work requirements, mainly monitors whether the battery pack leaks electricity and causes electrification of the battery pack framework, monitors the state of the battery pack framework and the running state of the battery pack, and diagnoses the battery pack. The monitoring voltage range is 0-500VDC, the current monitoring range is 0-300mA, when the battery pack framework is electrified and the voltage exceeds 12V or when the ground current of the battery pack framework is more than 10mA, the battery pack on the battery pack framework has electric leakage, and the system can perform sound-light alarm and send alarm information through the communication interface. The system can help operation and maintenance personnel to comprehensively sense the state of the battery pack architecture, and guarantee personal safety and safe operation of the power monitoring system.
Referring to fig. 1 and 2, the battery pack architecture live-line monitoring safety early warning system based on the internet of things sensing technology provided by the invention is a set of battery architecture monitoring, diagnosing and warning software system for operation and maintenance personnel, and mainly comprises a live-line monitoring module, an intelligent diagnosing module, a timely warning module and a background display terminal.
The charged monitoring module: the intelligent diagnosis module is used for acquiring the current and the voltage of the battery pack framework and the running state of each battery pack integrated on the battery pack framework in real time, and uploading the acquired data to the intelligent diagnosis module and the background display terminal, wherein the running state of the battery pack comprises the total voltage and the total current of the battery pack and the voltage, the internal resistance and the temperature of each battery in the battery pack.
The acquisition of current and voltage in the live monitoring module is realized by an isolation sensor technology, namely, the current of a battery pack framework and the total current of the battery pack are acquired by a current isolation sensor, and the voltage of the battery pack framework, the total voltage of the battery pack and the voltage of each battery in the battery pack are acquired by a voltage isolation sensor; in addition, the voltage and current of each group of battery pack framework are monitored by adopting an isolation sensor technology for safety, the key technology of the invention is also provided, and the acquired voltage and current signals are processed by a series of signals such as circuit transformation, signal amplification, filtering, AD conversion and the like by adopting the isolation sensor technology and are finally transmitted to an intelligent diagnosis module; in addition, the acquisition of the internal resistance in the electrification monitoring module is realized by an internal resistance detection sensor, and the acquisition of the temperature is realized by a battery temperature sensor.
Because each battery room of the automatic machine room is generally provided with 6 battery pack frameworks, each battery pack framework is uniformly distributed with a plurality of battery packs, when any battery pack leaks electricity, the corresponding battery pack framework is electrified, the leakage voltage of the battery pack can change between 14V and 300V according to different types and quantities of batteries integrated in the battery pack, the leakage current difference is large according to different leakage states and can generally change between 0mA and hundreds of ampere times, but the leakage current born by a human body is not more than 10mA, otherwise, the danger is easily caused; therefore, the system needs to monitor all the battery pack frameworks and the battery packs on the battery pack frameworks, when any battery pack framework is electrified and the voltage exceeds the voltage of 12V or when the ground current of any battery pack framework is more than 10mA, the system gives out sound and light alarm and sends out alarm information through the communication interface.
The intelligent diagnosis module: the method comprises the steps that the safety threshold values of current and voltage of a battery pack framework and the safety threshold values of the running states of all battery packs are arranged in the battery pack framework, received collected data are compared with the corresponding safety threshold values, if the current and the voltage of the battery pack framework exceed the corresponding safety threshold values, the battery pack framework is indicated to be electrified, meanwhile, battery pack framework alarm information is formed and sent to a background display terminal and a timely alarm module, if any running state of the battery pack exceeds the corresponding safety threshold values, the battery pack is indicated to be in a fault, and meanwhile, the battery pack alarm information is formed and sent to the background display terminal and the timely alarm module. If the battery pack or the battery packs are found to be abnormal, the battery pack or the battery packs causing the battery pack framework to be electrified can be rapidly judged, and reference is provided for operation and maintenance personnel, so that the emergency repair work is facilitated.
The intelligent diagnosis module is also interactively connected with a human-computer interface, the setting, deletion, modification and addition of a safety threshold value in the intelligent diagnosis module are realized by controlling the human-computer interface, and the human-computer interface can also display the state of a battery pack framework, the running state of each battery pack and various alarm information; in addition, the intelligent diagnosis module and the human-computer interface can be integrally installed in the battery chambers of the automatic machine room, and the intelligent diagnosis module and the human-computer interface can be respectively configured with one set in each battery chamber of the automatic machine room or share one set by a plurality of battery chambers of the automatic machine room according to specific conditions, so that operation and maintenance personnel can know the on-site conditions in time.
And a timely warning module: the system comprises an audible and visual alarm and a short message sending platform, wherein the audible and visual alarm carries out audible and visual alarm after receiving battery pack architecture alarm information and/or battery pack alarm information, and the audible and visual alarm is arranged in a battery chamber of the automatic machine room so as to prompt surrounding operation and maintenance personnel in time; the short message sending platform is used for sending the battery pack architecture alarm information and/or the battery pack alarm information to a handheld client (mobile phone) so as to inform operation and maintenance personnel in time and solve the problem that the abnormal information of the battery equipment is not known in time.
A background display terminal: the battery pack monitoring system is used for displaying the current and voltage of a battery pack framework, the running state of each battery pack and various alarm information in real time, providing reference basis for operation and maintenance personnel, realizing the comprehensive monitoring function of the state of the battery pack framework and the running state of the battery pack, and solving the problems that the existing battery pack equipment cannot be visualized and the battery pack is difficult to maintain and patrol.
In summary, the present invention is not limited to the above-mentioned embodiments, and those skilled in the art can propose other embodiments within the technical teaching of the present invention, but these embodiments are included in the scope of the present invention.
Claims (4)
1. The utility model provides a live monitoring safety precaution system of group battery framework based on thing allies oneself with sensing technology which characterized in that includes:
the system comprises a live monitoring module, an intelligent diagnosis module and a background display terminal, wherein the live monitoring module is used for acquiring the current and the voltage of a battery pack framework and the running state of each battery pack integrated on the battery pack framework in real time and uploading acquired data to the intelligent diagnosis module and the background display terminal, and the running state of each battery pack comprises the total voltage and the total current of the battery pack and the voltage, the internal resistance and the temperature of each battery in the battery pack;
the intelligent diagnosis module is internally provided with current and voltage safety thresholds of a battery pack framework and safety thresholds of running states of all battery packs, the received acquired data are compared with the respective corresponding safety thresholds, if the current and the voltage of the battery pack framework exceed the corresponding safety thresholds, the battery pack framework is indicated to be electrified, meanwhile, battery pack framework alarm information is formed and sent to the background display terminal and the timely alarm module, if any running state of the battery pack exceeds the corresponding safety thresholds, the battery pack is indicated to be in fault, and meanwhile, battery pack alarm information is formed and sent to the background display terminal and the timely alarm module;
the timely warning module comprises an audible and visual alarm and a short message sending platform, the audible and visual alarm carries out audible and visual warning after receiving the battery pack architecture warning information and/or the battery pack warning information, and the short message sending platform is used for sending the battery pack architecture warning information and/or the battery pack warning information to a handheld client so as to inform operation and maintenance personnel in time; and
and the background display terminal is used for displaying the current and the voltage of the battery pack framework, the running state of each battery pack and various alarm information in real time.
2. The battery pack architecture live-wire monitoring safety pre-warning system based on the internet of things sensing technology according to claim 1, wherein the live-wire monitoring module collects current and voltage through an electric quantity isolation sensor, collects internal resistance through an internal resistance detection sensor, and collects temperature through a battery temperature sensor.
3. The battery pack architecture live-line monitoring safety early warning system based on the internet of things sensing technology as claimed in claim 1, wherein the intelligent diagnosis module is further interactively connected with a human-computer interface, and setting, deleting, modifying and adding of a safety threshold value in the intelligent diagnosis module are achieved by controlling the human-computer interface.
4. The system of claim 1, wherein the audible and visual alarm is installed in a battery chamber of an automated machine room in which the battery pack architecture and the battery pack are installed, so as to prompt surrounding operation and maintenance personnel in time.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113758527A (en) * | 2021-09-10 | 2021-12-07 | 清华大学 | Intelligent battery monitoring and early warning method and system based on multiple types and quantities of sensors |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203232141U (en) * | 2013-05-02 | 2013-10-09 | 国家电网公司 | Storage battery pack on-line monitoring system |
| US20150372515A1 (en) * | 2014-06-20 | 2015-12-24 | International Business Machines Corporation | Modular battery cell architecture and control method |
| CN205404760U (en) * | 2015-12-25 | 2016-07-27 | 重庆恩信科技有限公司 | Battery intelligent online monitoring system |
| US20160294198A1 (en) * | 2014-10-03 | 2016-10-06 | Elitise Llc | Battery module architecture with horizontal and vertical expandability |
| CN106941255A (en) * | 2016-11-21 | 2017-07-11 | 国家电网公司 | Based on the distributed maintenance free intelligent d. c power-supply system of cell and its control method |
| CN107450027A (en) * | 2017-07-18 | 2017-12-08 | 安徽天玄科技有限公司 | A kind of uninterrupted power source intelligent online monitoring and warning system platform |
| CN107870590A (en) * | 2017-10-16 | 2018-04-03 | 谢维 | Computer room battery management apparatus |
| CN207424220U (en) * | 2017-11-27 | 2018-05-29 | 泉州装备制造研究所 | A kind of smart UPS battery management and health status monitoring system |
| CN109638371A (en) * | 2018-12-07 | 2019-04-16 | 安华智能股份公司 | A kind of battery pack exception automatic alarm system |
| WO2019178953A1 (en) * | 2018-03-22 | 2019-09-26 | 深圳市南霸科技有限公司 | Internet-of-things-based intelligent battery state monitoring system |
-
2020
- 2020-08-20 CN CN202010841890.4A patent/CN112014742A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN203232141U (en) * | 2013-05-02 | 2013-10-09 | 国家电网公司 | Storage battery pack on-line monitoring system |
| US20150372515A1 (en) * | 2014-06-20 | 2015-12-24 | International Business Machines Corporation | Modular battery cell architecture and control method |
| US20160294198A1 (en) * | 2014-10-03 | 2016-10-06 | Elitise Llc | Battery module architecture with horizontal and vertical expandability |
| CN205404760U (en) * | 2015-12-25 | 2016-07-27 | 重庆恩信科技有限公司 | Battery intelligent online monitoring system |
| CN106941255A (en) * | 2016-11-21 | 2017-07-11 | 国家电网公司 | Based on the distributed maintenance free intelligent d. c power-supply system of cell and its control method |
| CN107450027A (en) * | 2017-07-18 | 2017-12-08 | 安徽天玄科技有限公司 | A kind of uninterrupted power source intelligent online monitoring and warning system platform |
| CN107870590A (en) * | 2017-10-16 | 2018-04-03 | 谢维 | Computer room battery management apparatus |
| CN207424220U (en) * | 2017-11-27 | 2018-05-29 | 泉州装备制造研究所 | A kind of smart UPS battery management and health status monitoring system |
| WO2019178953A1 (en) * | 2018-03-22 | 2019-09-26 | 深圳市南霸科技有限公司 | Internet-of-things-based intelligent battery state monitoring system |
| CN109638371A (en) * | 2018-12-07 | 2019-04-16 | 安华智能股份公司 | A kind of battery pack exception automatic alarm system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113758527A (en) * | 2021-09-10 | 2021-12-07 | 清华大学 | Intelligent battery monitoring and early warning method and system based on multiple types and quantities of sensors |
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