CN113936441A - Power station risk automatic identification and early warning device - Google Patents
Power station risk automatic identification and early warning device Download PDFInfo
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- CN113936441A CN113936441A CN202111347486.2A CN202111347486A CN113936441A CN 113936441 A CN113936441 A CN 113936441A CN 202111347486 A CN202111347486 A CN 202111347486A CN 113936441 A CN113936441 A CN 113936441A
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/04—Network architectures or network communication protocols for network security for providing a confidential data exchange among entities communicating through data packet networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1441—Countermeasures against malicious traffic
- H04L63/145—Countermeasures against malicious traffic the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
Abstract
A power station risk automatic identification and early warning device comprises a data communication module, a data deduction analysis module, a data display module, a power supply module and a shielding protection module; the data communication module is used for realizing data transmission and carrying out privacy encryption protection on potential sensitive data; the data deduction analysis module comprises a risk identification deduction element and is used for carrying out state deduction analysis on the probability of risk occurrence of the operation working state of the data deduction analysis module through the acquired metadata of which the fault state of the corresponding equipment is located at the cloud end by using a machine learning algorithm of Bayesian network probability factors. The device can automatically classify equipment defects and related risks, classify different power station data information according to parameter sensitivity labels and risk labels, manage life cycles of the equipment defect data through an intelligent algorithm, can set different data life cycles and risk degrees, and select different capacity sizes according to different installed capacity sizes of power stations and different types of unit equipment.
Description
Technical Field
The invention relates to the technical field of power station risk detection, in particular to a power station risk automatic identification and early warning device.
Background
The data processing electronic equipment element is an indispensable material support in the application of electric power energy in modern society. In the current common fault defect and risk protection processing of power station equipment, an equipment fault defect processing system, such as an SAP system, a BFS system, etc., is usually adopted. How to rapidly and effectively eliminate the existing equipment defects in the power station system in time and effectively identify and protect the corresponding existing potential risks is an important factor influencing the normal operation of the power generation system. Particularly, in an equipment system of a nuclear power station, how to effectively and timely take away the residual heat of a reactor core to avoid accidents such as reactor melting and the like under the condition of serious accidents needs to be considered. In the current equipment defect risk data management system, when equipment breaks down or has defects, corresponding equipment defect fault information needs to be manually filled by unit operation personnel and equipment maintenance personnel, and corresponding elimination and maintenance are carried out on the existing fault defects gradually in sequence, and because data isolated island phenomena of different degrees exist among different power station unit equipment, how to break transmission barriers of information data among different power station unit equipment can be realized, intelligent identification and equipment active risk protection of the power station equipment fault information are realized, and the problem that power station system equipment needs to be solved but cannot be avoided in the process of realizing intelligent power generation is solved.
The development of energy and power big data and artificial intelligence information processing technology is one of the main directions of the technical development of the intelligent power station in the future along with the continuous improvement of data processing algorithm and computer hardware analysis performance. However, the technical implementation of the energy and power big data and the process analysis of data processing are not designed and implemented in the normal equipment maintenance and repair process of the actual power generation system at present due to the difference of the types of the related power station equipment and the complexity of the power generation systems of different types. The existing power station equipment defect repair risk identification capability is insufficient, passive repair exists excessively, and the problem that unit equipment can not be recovered to normal standby operation soon after unplanned shutdown caused by equipment defect exists. Therefore, the inventor provides a power station risk automatic identification and early warning device which can reliably classify and process defect data of power station equipment and identify risks.
Disclosure of Invention
The invention aims to overcome the defects of the situations and provide a power station risk automatic identification and early warning device which can reliably classify and identify the defect data of power station equipment and solve the problems that the existing power station equipment has insufficient repair risk identification capability, excessive passive repair exists and unit equipment can not be quickly restored to normal standby operation after unplanned shutdown caused by equipment defects.
A power station risk automatic identification and early warning device comprises a data communication module, a data deduction analysis module, a data display module, a power supply module and a shielding protection module;
the data communication module comprises a data security protection unit, a cloud service communication unit, an equipment data identifier and a locator; the data communication module is used for realizing data transmission and carrying out privacy encryption protection on potential sensitive data;
the data deduction analysis module comprises a risk identification deduction element and is used for carrying out state deduction analysis on the probability of risk occurrence of the running working state of the data deduction analysis module by using a Bayesian network probability factor machine learning algorithm through the acquired metadata of which the fault state of the corresponding equipment is located at the cloud end; wherein fill through polymer insulating resin, polymer insulating resin realizes the reliable insulation between the component, avoids electronic component operating temperature too high and leads to the emergence of the condition such as insulating damage short circuit damage of appearing.
The data display module comprises a digital electronic display screen and is used for carrying out visual graphic display on the risk probability states of different equipment faults obtained by data deduction and analysis, carrying out alarm list display according to the level condition of the risks and receiving input data of overhaul data of the unit equipment state;
the power supply module comprises a radio frequency wireless charging unit and/or a power supply and is used for providing stable and reliable energy supply and ensuring that the working state of the device is normally carried out;
the shielding protection module comprises a shielding anti-interference layer used for accurately identifying and shielding noise interference signals outside the equipment and ensuring that the data communication module is not influenced by interference of radiation ionization signals of the surrounding environment in the data transmission process.
Furthermore, the equipment data recognizer is located on the left side of the outside of the device and used for recognizing and reading data parameters such as equipment types and models of system equipment related to inspection and automatically matching related equipment operation and maintenance fault characteristic data in the cloud server.
Furthermore, the locator is located on the right side outside the device, is a wireless locator, and is used for identifying and locating the physical position of the locator, so as to facilitate virtual scene reconstruction of the equipment.
Further, the data security protection unit is located on the left side inside the device and used for conducting data security compliance check and encryption and decryption on private data before conducting data communication and transmission, and safe and reliable transmission of the data is guaranteed.
Further, the cloud service communication unit is located on the left side inside the device and used for carrying out data communication and transmission on the device data collected by the elements and the power station device state big data of the cloud server.
Furthermore, the risk identification deduction element performs risk probability deduction and causal influence element analysis on the possible risk state of the equipment through the equipment data acquired by the cloud server and the field equipment data identified by positioning and matching, displays the risk probability deduction and causal influence element analysis on the data display module after calculation deduction, and meanwhile performs corresponding updating on the data risk information of the cloud computing platform.
Furthermore, the interval part of the risk identification deduction element is filled with high molecular polymer insulating resin, so that reliable insulation of the risk identification deduction element is ensured, heat released by the element can be continuously and effectively cooled and conducted out, and breakdown and damage of the element caused by high temperature of the element are avoided.
Further, the shielding anti-interference layer comprises an inner layer and an outer layer, and the inner layer and the outer layer both comprise metal ionization signal isolation layers and radiation interference protection layers which are arranged in a layered reciprocating alternating manner; the inner layer and the outer layer are both provided with a shielding wire anti-signal interference loop.
Furthermore, the inner layer and the outer layer are provided with a double-symmetrical saddle-shaped and gradually-expanded conch spiral protruding structure for enhancing the flowing and heat exchange of surrounding environment media and avoiding the influence of element equipment on the normal service life of the electronic equipment due to high-temperature environment. Each set of individual said raised structures has a size in the range of 0.8-6.5 mm. Can be adjusted adaptively.
Furthermore, the metal ionization signal isolation layer and the radiation interference protection layer form a double-channel metal mesh loop and are arranged in a bidirectional circulation mode, and the shielding interference of the corresponding radiation interference noise signals is realized by utilizing the bidirectional metal electromagnetic induction effect and matching with the signal frequency modulation of the radio frequency interference signal A/D conversion device.
Further, the metal ionization signal isolation layer and the radiation interference protection layer are arranged in parallel. The main functions of the two-layer structure are the isolation and protection of interference radiation noise quotation marks and no functions of data classification processing, early warning signals and information prompting. The functions are specifically realized by an internal data deduction analysis module in the specific data classification processing and early warning signal. The actual signal prompt function is used for carrying out corresponding information prompt by the data display module.
Furthermore, the signal interference prevention loop comprises a noise interference signal amplifier, a digital control attenuator, a signal bandwidth amplifier, a numerical control quadrature phase identification element and a digital filter element; the filtering processing of the interference signal is realized by carrying out digital monitoring and filtering identification on the phase of the noise interference signal.
Further, the thickness of the metal ionization signal isolation layer and the radiation interference protective layer is 0.3 mm.
Furthermore, the data display module is positioned on the upper side inside the device and used for displaying data parameters of the positioned identification equipment and interface interaction of man-machine operation data.
Further, the power supply module is positioned on the right side inside the device; the power supply provides a stable power supply for the device, and the radio frequency wireless charging unit wirelessly charges the device.
Further, the size of the power station risk automatic identification and early warning device is 25mm multiplied by 25 mm-60 mm multiplied by 60 mm.
Compared with the prior art, the invention has the beneficial effects that:
firstly, the device intelligently matches the fault defect historical record information of the working performance of the equipment through the cloud service communication unit, and then effectively integrates and prompts the risk accident information related to the system equipment, wherein the risk accident information comprises high temperature, dust, noise, radiation, rotating machinery, falling objects, chemical corrosion, leakage and the like. And performing deduction analysis through risk accident factors such as machine learning, data mining and the like, performing risk probability information prompt on the most main possible related factors of related equipment operation and fault state overhaul, and displaying graphical relationship network graphs of different factor causes. The risk probability prompt calculation information is analyzed and compared in the existing unit equipment fault data system through simulation calculation.
And the data security protection unit is arranged, so that the system has reliable data security and privacy protection functions. In the process of data transmission and communication contact, privacy protection is realized by encrypting core sensitive data, and meanwhile, the behaviors of invading data safety, such as data viruses, worms, trojans and the like, are automatically diagnosed and identified.
This device power station risk automatic identification and early warning device through gathering equipment trouble defect information, classifies trouble defect information automatically and uploads to high in the clouds server, also can be for after the risk rank reaches certain degree, carry out early warning information suggestion to it.
The device can automatically classify the equipment defects and related risks, classify different power station data information according to parameter sensitivity labels and risk labels, and manage the life cycle of the equipment defect data through an intelligent algorithm. The device is a novel risk automatic and recognition early warning device, can be set to different data life cycles and risk degrees, and selects different capacity sizes according to the size of the installed capacity of the power station and the difference of the type of the unit equipment.
The device realizes efficient classification and risk identification of the fault defect data of the power station, can realize automatic privacy encryption protection of core sensitive data, is one of the development trends of realizing state overhaul and efficient risk protection of the power station in the future, and has a wide application prospect.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic structural diagram of an automatic power station risk identification and early warning device in an embodiment.
Fig. 2 is a schematic structural view of a double symmetric saddle-shaped protrusion structure of a shielding interference preventing layer in an embodiment.
Fig. 3 is a schematic structural diagram of a spiral convex structure of the divergent conch in the specific embodiment.
In the figure: 1. a data security protection unit; 2. a cloud service communication unit; 3. a device data identifier; 4. a positioner; 5. a risk identification deduction element; 6. an insulating resin; 7. a data display module; 8. a radio frequency wireless charging unit; 9. a mobile power storage device; 10. and a shielding protection module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The specific embodiment is as follows:
as shown in fig. 1, an automatic power station risk identification and early warning device includes a data communication module, a data deduction and analysis module, a data display module, a power supply module, and a shielding protection module.
In this embodiment, the data communication module is configured to implement data transmission and perform privacy encryption protection on potentially sensitive data. The data communication module comprises a data security protection unit 1, a cloud service communication unit 2, an equipment data identifier 3 and a locator 4. The equipment data identifier 3 is located on the left side outside the device and used for identifying and reading data parameters such as equipment types and models of system equipment related to inspection and automatically matching related equipment operation and maintenance fault characteristic data in the cloud service communication unit. The locator 4 adopts the wireless locator, is located the outside right side of device, and the locator is used for carrying out position identification and location to the physical position that this device is located, is convenient for carry out virtual scene reconsitution to equipment. The data security protection unit 1 and the cloud service communication unit 2 are both positioned on the left side in the device, and the cloud service communication unit 2 is used for carrying out data communication and transmission on the acquired equipment data and the power station equipment state big data; the data security protection unit 1 performs data security compliance check and encryption and decryption of private data before data communication and transmission, and ensures safe and reliable data transmission. The power station risk automatic identification and early warning device in the embodiment has reliable data security and privacy protection functions. In the data transmission and communication contact processes, privacy protection is realized by encrypting core sensitive data, and meanwhile, data virus, worm, trojan and other data safety violations are automatically diagnosed and identified, once the risk of virus infection and abnormal behaviors exist, offline cutting and data safety risk information alarming are automatically carried out on infected equipment, and traceability tracking of virus source programs and operation and user identity reliability verification can be realized.
In this embodiment, the data deduction analysis module includes a risk identification deduction element 5, and is configured to perform state deduction analysis on the probability of risk occurrence in the operating state of the data deduction analysis module by using a machine learning algorithm of bayesian network probability factors through the acquired metadata of the cloud side of the fault state of the corresponding device. The risk identification deduction element conducts risk probability deduction and causal influence element analysis on the possible risk state of the equipment through the equipment data acquired by the cloud service communication unit and the field equipment data identified by positioning matching, the risk identification deduction element is displayed on the data display module after calculation deduction, and meanwhile data risk information of the cloud computing platform is correspondingly updated. Wherein, the interval position of risk identification deduction element is filled with polymer insulating resin 6, and polymer insulating resin can realize the reliable insulation between the risk identification deduction element to can be lasting carry out effectual cooling and heat derivation with the heat that risk identification deduction element released, avoid the higher breakdown and the damage that leads to the component of risk identification deduction element temperature, avoid this device component operating temperature too high and lead to appearing the emergence of the condition such as insulating damaged short circuit damage.
In this embodiment, the data display module 7 is located at the upper side inside the device, and displays the data parameters of the located identification device and the interface interaction of the human-computer operation data. The data display module adopts a digital electronic display screen, visual graphic display is carried out on the risk probability states of different equipment faults obtained by data deduction analysis, alarm list display is carried out according to the level condition of the risks, and meanwhile, the input data of the overhaul data of the unit equipment states are received.
In this embodiment, the power supply module is located on the right side inside the apparatus, the power supply module includes a radio frequency wireless charging unit 8 and a mobile power storage device 9, and a stable power supply is provided for the apparatus through the mobile power storage device 9 in a normal state; when a sufficient wireless radio frequency signal source exists in the surrounding environment of the device, the device is charged wirelessly through the radio frequency wireless charging unit 8, and the reliable supply of a power supply is ensured. Namely, the power supply provides a stable power supply for the device, and the radio frequency wireless charging unit wirelessly charges the device, so that stable and reliable energy supply is provided in cooperation, and the normal operation of the device is ensured. Specifically, the power supply module is implemented by combining a conventional mobile power storage device and a wireless charging device for effective energy supply and supplement. The portable power storage equipment who changes of utilization supplies power under normal operating condition, when having the energy of removal such as effectual radiant energy ripples and bluetooth radiant wave simultaneously in operational environment, adopts the wireless charging unit of radio frequency to carry out wireless power source to this device and charges automatically.
In this embodiment, the shielding protection module 10 employs a shielding anti-interference layer for accurately identifying and shielding noise interference signals outside the device, so as to ensure that the data communication module is not affected by interference of radiation ionization signals of the surrounding environment during data transmission.
Specifically, the shielding anti-interference layer 10 comprises an inner layer and an outer layer, wherein the inner layer and the outer layer both comprise metal ionization signal isolation layers and radiation interference protection layers which are arranged in a layered reciprocating alternating manner, the inner layer and the outer layer are both provided with shielding wire anti-signal interference loops, and each anti-signal interference loop comprises a noise interference signal amplifier, a digital control attenuator, a signal bandwidth amplifier, a numerical control quadrature phase identification element and a digital filter element; the filtering processing of the interference signal is realized by carrying out digital monitoring and filtering identification on the phase of the noise interference signal.
The inner layer and the outer layer of the shielding anti-interference layer are provided with double-symmetrical saddle-shaped and gradually-expanded spiral protruding structures which are used for enhancing the flowing and heat exchange of surrounding environment media and avoiding the influence of the device on the normal service life of electronic equipment due to high-temperature environment, wherein the structural schematic diagram of the double-symmetrical saddle-shaped protrusions is shown in figure 2, and the structure of the gradually-expanded spiral protruding structures is shown in figure 3. The size of each group of independent convex structures ranges from 0.8 mm to 6.5mm, and can be adjusted adaptively. Specifically, the inner layer and the outer layer are both metal shells, so that the reliable identification and storage of internal electronic elements can be effectively protected, and particularly, the device is ensured to have reliable anti-interference performance of noise signals in vibration, high temperature and other environments; the anti-interference corrosion metal shell material used for the metal shell is composed of a lithium magnesium alloy shell material and a nano anti-corrosion material.
In the inner layer and the outer layer of the shielding anti-interference layer, the metal ionization signal isolation layer and the radiation interference protective layer form a double-channel metal net-shaped loop and are arranged in a bidirectional circulation mode, and the signal frequency modulation of the A/D conversion device of the radio frequency interference signal is matched by utilizing the bidirectional metal electromagnetic induction effect so as to realize the shielding interference of the corresponding radiation interference noise signal. Specifically, the metal ionization signal isolation layer and the radiation interference protective layer are arranged in parallel, the thickness of each metal ionization signal isolation layer and the thickness of each radiation interference protective layer are both 0.3mm, the main functions of the two-layer structure are isolation and protection of interference radiation noise quotation marks, and the two-layer structure does not have functions of data classification processing, early warning signals and information prompting. The specific data classification processing and early warning signal are realized by an internal data deduction analysis module, and the actual signal prompt function is realized by a data display module for carrying out corresponding information prompt.
The automatic power station risk identification and early warning device in the embodiment is suitable for a nuclear power station system with a pressurized water reactor as a reactor type, water as a cooling medium, a design parameter pressure range of 8-25.5MPa, a coolant inlet temperature of 180-2s is in the range.
The automatic power station risk identification and early warning device in the embodiment can be designed into different sizes, the size range is 25mm multiplied by 25 mm-60 mm multiplied by 60mm, and the requirements of nuclear power station reactor types with various powers on the sizes of electronic components can be met. The electronic elements in the high-molecular polymer resin are encapsulated, and the elements such as capacitors, inductors and the like are provided with energy sources through the mobile power storage equipment and the wireless charging equipment. Wherein, the high molecular polymer resin material includes but is not limited to styrene-acrylonitrile copolymer, poly (butyl terephthalate) and polyphenylene sulfide, and the phenomena of short circuit damage and the like of electronic elements in the working process are avoided. Specifically, the content of the polymer resin insulating material is 38-75% by weight, and the most preferable content of the insulating material is 52.6% by weight.
When the power station risk automatic identification and early warning device in the embodiment is utilized to carry out equipment inspection and operation, the cloud service communication unit is used for intelligently matching the fault defect historical record information of the working performance of the equipment, and then the relevant risk accident information of the system equipment is effectively integrated and prompted, wherein the risk accident information comprises high temperature, dust, noise, radiation, rotating machinery, falling objects, chemical corrosion, leakage and the like. And performing deduction analysis through risk accident factors such as machine learning, data mining and the like, performing risk probability information prompt on the most main possible related factors of related equipment operation and fault state overhaul, and displaying graphical relationship network graphs of different factor causes. The risk probability prompt calculation information is analyzed and compared in the existing unit equipment fault data system through simulation calculation. Wherein the probability range of the shutdown failure risk caused by the failure of large electrical equipment such as a transformer, a frequency converter, power supply equipment and the like is 0.009-0.152, the probability of the shutdown failure risk caused by the breakage of a pipeline flange, the failure and leakage of a bearing oil loop and the like is 0.03-0.21, and the probability of the shutdown failure risk caused by the failure of a control system, an actuating mechanism and a sensor is 0.075-0.237. In general, the risk factor probability analysis can meet the risk probability calculation requirement of the power station equipment.
The power station risk automatic identification and early warning device can regularly update and effectively identify the compliance of data. Legal activity limits of laws and regulations related to power station equipment on privacy, data transmission and other processes are collected and matched through the cloud service communication unit, and compliance and normative check of the power station data transmission and use processes are guaranteed.
The device has clear principle of each electronic element and simple process, can be effectively and economically manufactured in a large scale, and becomes a safe and reliable data classification and risk early warning electronic element. The side and the lower part of the device are respectively provided with a data transmission connection structure and a data safety protection device for realizing information convergence of power station equipment data from different types, and the device has important significance in the design of conventional electronic component inspection communication equipment.
The automatic power station risk identification and early warning device in the embodiment can automatically classify equipment defects and related risks, classify parameter sensitivity labels and risk labels of different power station data information, and manage life cycle of equipment defect data through an intelligent algorithm. The device is a novel risk automatic and recognition early warning device, can be set to different data life cycles and risk degrees, and selects different capacity sizes according to the size of the installed capacity of the power station and the difference of the type of the unit equipment. Because data information has data privacy protection and sensitive information leakage scheduling problem in the process of storage and transmission, therefore this device can be used in various fields such as power station and energy reserve transport, has good privacy protection effect.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that changes may be made in the embodiments and/or equivalents thereof without departing from the spirit and scope of the invention. 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 power station risk automatic identification and early warning device which characterized in that: the device comprises a data communication module, a data deduction analysis module, a data display module, a power supply module and a shielding protection module;
the data communication module comprises a data security protection unit, a cloud service communication unit, an equipment data identifier and a locator; the data communication module is used for realizing data transmission and carrying out privacy encryption protection on potential sensitive data;
the data deduction analysis module comprises a risk identification deduction element and is used for carrying out state deduction analysis on the probability of risk occurrence of the running working state of the data deduction analysis module by using a Bayesian network probability factor machine learning algorithm through the acquired metadata of which the fault state of the corresponding equipment is located at the cloud end;
the data display module comprises an electronic display screen and is used for carrying out visual graphic display on the risk probability states of different equipment faults obtained by data deduction and analysis, carrying out alarm list display according to the level condition of the risks and receiving input data of overhaul data of the unit equipment state;
the power supply module comprises a radio frequency wireless charging unit and/or a removable and replaceable power storage device and is used for providing energy supply;
the shielding protection module comprises a shielding anti-interference layer used for accurately identifying and shielding noise interference signals outside the equipment and ensuring that the data communication module is not influenced by interference of radiation ionization signals of the surrounding environment in the data transmission process.
2. The power station risk automatic identification and early warning device of claim 1, characterized in that: the equipment data recognizer is located outside the device and used for recognizing and reading equipment data parameters of system equipment related to inspection and automatically matching equipment operation and maintenance fault characteristic data in the cloud server.
3. The power station risk automatic identification and early warning device of claim 2, characterized in that: the locator is located outside the device, is a wireless locator and is used for carrying out position identification and location on the physical position where the locator is located.
4. The power station risk automatic identification and early warning device of claim 3, characterized in that: the data security protection unit is positioned in the device and used for carrying out data security compliance check and encryption and decryption on private data before data communication and transmission, and the data security protection unit ensures the safe and reliable transmission of the data.
5. The power station risk automatic identification and early warning device of claim 4, characterized in that: the cloud service communication unit is positioned in the device and used for carrying out data communication and transmission on the equipment data acquired by the elements and the power station equipment state big data of the cloud server;
the cloud service communication unit is also used for integrating and prompting risk accident information of the equipment, wherein the risk accident information comprises high temperature, dust, noise, radiation, rotating machinery, falling objects, chemical corrosion and leakage.
6. The power station risk automatic identification and early warning device of claim 1, characterized in that: the risk identification deduction element performs risk probability deduction and causal influence element analysis on a potential risk state of the equipment through the equipment data acquired by the cloud service communication unit and the field equipment data identified by positioning matching, displays the risk probability deduction and causal influence element analysis on the data display module after calculation deduction, and updates the data risk information of the cloud computing platform.
7. The power station risk automatic identification and early warning device of claim 6, characterized in that: and the interval part of the risk identification deduction element is filled with insulating resin for ensuring the insulation of the risk identification deduction element and cooling and guiding out the heat released by the risk identification deduction element.
8. The power station risk automatic identification and early warning device of claim 1, characterized in that: the shielding anti-interference layer comprises an inner layer and an outer layer, and the inner layer and the outer layer both comprise metal ionization signal isolation layers and radiation interference protection layers which are arranged in a layered reciprocating alternating manner; the inner layer and the outer layer are both provided with a shielding wire anti-signal interference loop.
9. The power station risk automatic identification and early warning device of claim 8, characterized in that: the inner layer and the outer layer are provided with a double-symmetrical saddle-shaped and divergent conch spiral protruding structure for enhancing the flow and heat exchange of surrounding environment media.
10. The power station risk automatic identification and early warning device of claim 8, characterized in that: the signal interference prevention loop comprises a noise interference signal amplifier, a digital control attenuator, a signal bandwidth amplifier, a numerical control quadrature phase identification element and a digital filter element; the filtering processing of the interference signal is realized by carrying out digital monitoring and filtering identification on the phase of the noise interference signal.
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