CN106296446B - Power supply safety management system and method - Google Patents
Power supply safety management system and method Download PDFInfo
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Abstract
The invention discloses a power supply safety management system and a power supply safety management method.A monitoring device is mutually connected with a server, can receive information transmitted by the server and monitors and controls a power supply network; the processor is mutually connected with the server, can receive and process the information transmitted by the server and transmits the information to the control module; the sensing module is connected with the processor, can measure natural information and transmit the measured information to the processor, the processor receives and processes the natural information transmitted by the sensing module, and the power supply module is disconnected through the control module, so that the safety of a power supply network is guaranteed. Safety software is arranged in a server of the power supply system and can send alarm information to the monitoring device. By adopting the sensing device, the change of the natural environment can be monitored.
Description
Technical Field
The invention relates to a power supply safety management system and a power supply safety management method, and belongs to the field of power supply safety.
Background
Electric power is the national pillar energy and economic life line, and the safe and stable operation of the electric power is related to the national safety and economic development. In recent years, with the rapid development of network and computer technologies, power supply systems are pushed into the digital era, which makes the power supply systems move towards safety, reliability, high quality, economy and the like. At present, due to the popularization of computer information systems, the scheduling operation, production operation and daily management of power supply systems are all completed by means of computer systems. Therefore, the power supply system has all important information of the power supply network, the problem of information safety monitoring in the power supply network is concerned day by day, and the safety monitoring problem of the power supply network directly influences the operation of the power supply system.
At present, when planning, designing and building a control system and a data network, a control system and a data network of some power plants and transformer substations are not attached enough to the safety problem of the network, so that some potential safety hazards exist in the power supply network, and potential threats and serious hidden dangers to the safe operation of the power grid are formed. Therefore, it has become a very urgent problem to establish a power supply safety protection system to ensure the safe and stable operation of the power supply network system.
While the information safety of a power supply network system is ensured, most enterprises often neglect the problem that the power supply network is influenced by natural factors, and as the influence of the natural factors is uncontrollable and irreversible, once spontaneous combustion disasters occur, such as: flood, fire, etc., without prevention of the power supply system, would cause significant losses to the power supply system and the user. Therefore, prevention of damage to the power supply system from changes in external conditions is an essential element of the power supply safety management system and method.
Disclosure of Invention
The invention designs and develops a power supply safety management system and a power supply safety management method, which can monitor and control the influence of environmental factors on a power supply network and improve the safety performance of the power supply network.
Another object of the invention is: the problems that the power supply network is attacked and the power supply information is stolen can be solved.
The technical scheme provided by the invention is as follows:
a power supply safety management system, comprising:
the monitoring device is mutually connected with the server, can receive the information transmitted by the server, and monitors and controls a power supply network;
the processor is mutually connected with the server, can receive and process the information transmitted by the server and transmits the information to the control module;
the sensing module is connected with the processor, can measure natural information and transmit the measured information to the processor, the processor receives and processes the natural information transmitted by the sensing module, and the power supply module is disconnected through the control module, so that the safety of a power supply network is guaranteed.
Preferably, the monitoring device includes: and the computer, the mobile phone and the tablet are connected with the server through a wired or wireless network to keep information synchronization.
Preferably, the control module receives information transmitted from the processor and starts the power supply module or the alarm module.
Preferably, the power supply module includes a power supply unit and a power distribution load unit.
Preferably, the server is internally provided with security software capable of resisting invasion of external attacks.
Preferably, the sensing module includes: temperature sensors, humidity sensors, and vibration sensors.
Preferably, the server is capable of providing services to a plurality of substations.
Preferably, the server is internally provided with security software capable of resisting invasion of external attacks.
The object of the present invention can be further achieved by a power supply safety management method, comprising the steps of:
determining sampling signals of an ambient temperature T, an ambient humidity W, a wind speed V and a transmission line length L according to a sampling period;
step two, selecting a 3-layer BP neural network, sequentially normalizing the parameters, and determining an input layer vector x ═ x of the three-layer BP neural network1,x2,x3,x4}; wherein x1Is the ambient temperature coefficient, x2Is the ambient humidity coefficient, x3Is the wind velocity coefficient, x4Is the transmission line length coefficient;
step three, the input layer vector is mapped to a middle layer, and the middle layer vector y is { y ═ y1,y2,…,ym}; m is the number of intermediate layer nodes, and satisfies
Wherein n is the number of nodes of an input layer, p is the number of nodes of an output layer, and BP neural network training is carried out;
step four, obtaining an output layer vector o ═ o1,o2,o3,o4}；o1Is normal, o2Temperature anomaly o3Abnormal humidity o4The wind speed is abnormal;
judging the running state of the cycle of the (i + 1) th time according to the sampling signal in the cycle of the (i) th time, and starting a power supply module under the normal condition when the output value is 1; and when the output value is 0 and is in an abnormal condition, starting the alarm module and stopping power supply.
Preferably, the normalization in the second step is formulated as
Wherein the content of the first and second substances,
for normalizing the input parameters, xjMeasurement parameters T, W, C, L, j ═ 1,2,3, 4; x is the number ofjmax、xjminRespectively, a maximum measurement value and a minimum measurement value in the corresponding measurement parameters.
The invention has the following beneficial effects: the safety software is arranged in the server of the power supply system, alarm information can be sent to the monitoring device, the server is controlled through the monitoring system, power supply information is backed up, and information leakage caused by external attack can be prevented. The server is connected with the monitoring device through the network, information synchronization is kept at any time, the condition of the power supply network is recorded by the monitoring device in real time, and meanwhile, the running condition of the power supply network can be checked through other modes such as a mobile phone, and the method is convenient and fast. Adopt sensing device, can monitor natural environment's change, automatic alarm and outage when natural disasters appear reduce the loss that brings because of the calamity that can not expect. The system is simple to operate, convenient to use, low in cost and suitable for large-scale popularization and use.
Drawings
Fig. 1 is a schematic structural diagram of a power supply safety management system according to the present invention.
FIG. 2 is a flow chart of a power supply safety management method according to the present invention
Detailed Description
The present invention is further described in detail below with reference to the attached drawings so that those skilled in the art can implement the invention by referring to the description text.
As shown in fig. 1, the present invention provides a power supply security management system and method, including a security software 110 embedded in a server 120, capable of resisting intrusion of external attacks, and sending an alarm message to a monitoring device 130 connected to the server 120, where the server 120 and the monitoring device 130 are connected through a wired or wireless network, and the monitoring device 130 includes: at least one of electronic products such as mobile phones, computers, tablets and the like; the server 120 is further connected with a processor 140, and the server 120 can receive information transmitted from the processor 140, transmit the information to the monitoring device 130, and send the information to the processor 140; the processor 140 is connected to the sensing module 180, and is capable of receiving information transmitted from the sensing module 180, where the sensing module 180 includes: the temperature sensor, the humidity sensor and the smoke sensor can measure natural environment information;
the processor 140 is further connected with a control module 150, the control module 150 is connected with a power supply module 160 and an alarm module 170, and the start of the module is judged according to the received information transmitted by the processor 140; the processor 140 extracts signals, judges faults, and gives an alarm by using a method combining wavelet analysis and a neural network.
When the power supply network is in operation, the server 120 transmits power supply information to the processor 140, and the processor 140 receives normal measurement information transmitted from the sensing module 180, at this time, the control module 150 activates the power supply module 160 to supply power to the user needing power supply in the power supply network, and meanwhile, the monitoring device 130 can monitor the power supply condition through the network.
When an external attack invades the server, the security software 110 will perform security protection, and at the same time, the server 120 will send the attacked information to the monitoring device 130, and the monitoring device 130 will backup the power supply information in the server at the fastest speed, and shut down the server 120 when necessary, so as to ensure the security of the power supply network.
When the sensing module 180 monitors an abnormal signal, the processor 140 processes and judges the abnormal signal, and when a natural disaster occurs, the method includes: in case of a natural disaster such as flood, fire, etc., the control module 150 turns on the alarm module 170 to alarm in order to attract the attention of patrols and other nearby persons, and at the same time, the processor 140 transfers the disaster information to the server 120, which transmits the disaster information to the monitoring apparatus 130 through a wired or wireless network. The specific monitoring method is as follows;
as shown in fig. 2, step S210 determines the sampling signals to be an ambient temperature T, an ambient humidity W, an ambient wind speed V, and a transmission line length L according to the sampling period;
selecting a 3-layer BP neural network, sequentially normalizing the parameters, and determining an input layer vector x ═ x of the three-layer BP neural network1,x2,x3,x4}; wherein x1Is the ambient temperature coefficient, x2Is the ambient humidity coefficient, x3Is the ambient wind velocity coefficient, x4A transmission line length coefficient;
the formula of the normalization is adopted
Wherein the content of the first and second substances,
for normalizing the input parameters, xjFor measurement parameter T, W, V, L, j ═ 1,2,3, 4; x is the number ofjmax、xjminRespectively a maximum measurement value and a minimum measurement value in the corresponding measurement parameters;
the input layer vector is mapped to an intermediate layer, the intermediate layer vector y ═ y1,y2,…,ym}; m is the number of intermediate layer nodes, and satisfies
Wherein n is the number of nodes of the input layer, and p is the number of nodes of the output layer;
step S220, after the BP neural network node model is established, the training of the BP neural network can be carried out. Obtaining a training sample according to historical experience data of the product, and giving a connection weight w between an input node i and a hidden layer node jijConnection weight w between hidden layer node j and output layer node kjkThreshold value theta of hidden layer node jjThreshold value theta of output layer node kk、wij、wjk、θj、θkAre all random numbers between-1 and 1.
Continuously correcting w in the training processijAnd wjkUntil the system error is less than or equal to the expected error, the training process of the neural network is completed
In step S230, an output layer vector o ═ { o ═ is obtained1,o2,o3,o4}；o1Is normal, o2Temperature anomaly o3Abnormal humidity o4Is the abnormal smoke concentration;
and step S240, judging the running state in the (i + 1) th cycle according to the sampling signal in the ith cycle, and starting the power supply module to supply power under the normal condition when the output value is 1.
And step S250, when the output value is 0, the abnormal condition is detected, the alarm module is started, the power supply is stopped, and the specific abnormal information is checked through the processor.
The safety software is arranged in the server of the power supply system, alarm information can be sent to the monitoring device, the server is controlled through the monitoring system, power supply information is backed up, and information leakage caused by external attack can be prevented. The server is connected with the monitoring device through the network, information synchronization is kept at any time, the condition of the power supply network is recorded by the monitoring device in real time, and meanwhile, the running condition of the power supply network can be checked through other modes such as a mobile phone, and the method is convenient and fast. Adopt sensing device, can monitor natural environment's change, automatic alarm and outage when natural disasters appear reduce the loss that brings because of the calamity that can not expect. The system is simple to operate, convenient to use, low in cost and suitable for large-scale popularization and use.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.
Claims (2)
1. A power supply safety management method, characterized in that the power supply safety management method is based on using a power supply safety management system, the power supply safety management system comprises:
the monitoring device is connected with the server, can receive information transmitted by the server and monitor and control the power supply network, is internally provided with safety software, and can perform safety protection when external attacks invade the server and send attacked information to the monitoring device through the server, so that the monitoring device can backup power supply information in the server at the fastest speed and close the server when needed to ensure the safety of the power supply network;
the monitoring device includes: at least one of a computer, a mobile phone and a tablet is connected with the server through a wired or wireless network to keep information synchronization;
the processor is connected with the server and can receive and process the information transmitted by the server and transmit the information to the control module, and the control module receives the information transmitted by the processor and starts the power supply module or the alarm module;
the sensing module is connected with the processor, can measure natural information and transmits the measured information to the processor, the processor receives and processes the natural information transmitted by the sensing module, and the power supply module is disconnected through the control module, so that the safety of a power supply network is guaranteed; the sensing module includes: a temperature sensor, a humidity sensor, and a vibration sensor;
the power supply module comprises a power supply unit and a power distribution load unit;
the power supply safety management method comprises the following processing steps:
determining sampling signals of an ambient temperature T, an ambient humidity W, a wind speed V and a transmission line length L according to a sampling period;
step two, selecting a 3-layer BP neural network, sequentially normalizing the parameters, and determining an input layer vector x ═ x of the three-layer BP neural network1,x2,x3,x4}; wherein x1Is the ambient temperature coefficient, x2Is the ambient humidity coefficient, x3Is the wind velocity coefficient, x4Is a transmission line length coefficient, wherein the normalization process uses the formula:
wherein the content of the first and second substances,
for normalizing the output parameter, xjMeasurement parameters T, W, C, L, j ═ 1,2,3, 4; x is the number ofjmax、xjminRespectively a maximum measurement value and a minimum measurement value in the corresponding measurement parameters;
step three, the input layer vector is mapped to a middle layer, and the middle layer vector y is { y ═ y1,y2,…,ym}; m is the number of intermediate layer nodes, and satisfies the following conditions:
wherein n is the number of nodes of an input layer, p is the number of nodes of an output layer, and BP neural network training is carried out;
step four, obtaining an output layer vector o ═ o1,o2,o3,o4}；o1Is normal, o2Temperature anomaly o3Abnormal humidity o4The wind speed is abnormal;
judging the running state of the cycle of the (i + 1) th time according to the sampling signal in the cycle of the (i) th time, and starting a power supply module under the normal condition when the output value is 1; and when the output value is 0 and is in an abnormal condition, starting the alarm module and stopping power supply.
2. The power supply safety management method according to claim 1, wherein the server is capable of providing services to a plurality of substations.
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| CN103604464A (en) * | 2013-11-22 | 2014-02-26 | 沈阳工程学院 | System and method for monitoring environmental parameters of wireless communication electric power transmission line |
| CN105678439A (en) * | 2015-12-02 | 2016-06-15 | 国网山西省电力公司电力科学研究院 | Power transmission line dynamic capacity-increasing operation risk assessment method based on BP neural network |
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| CN103604464A (en) * | 2013-11-22 | 2014-02-26 | 沈阳工程学院 | System and method for monitoring environmental parameters of wireless communication electric power transmission line |
| CN105678439A (en) * | 2015-12-02 | 2016-06-15 | 国网山西省电力公司电力科学研究院 | Power transmission line dynamic capacity-increasing operation risk assessment method based on BP neural network |
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