CN111198049A - Remote intelligent online temperature measurement system for power equipment based on ubiquitous power Internet of things - Google Patents
Remote intelligent online temperature measurement system for power equipment based on ubiquitous power Internet of things Download PDFInfo
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Abstract
The invention discloses a remote intelligent online temperature measurement system for power equipment based on a ubiquitous power Internet of things, which comprises an Internet of things online temperature measurement sensing layer, a network transmission layer and an application intelligent decision center layer, wherein the Internet of things online temperature measurement sensing layer is in wired or wireless bidirectional connection with the application intelligent decision center layer through the network transmission layer. This remote intelligent online temperature measurement system of power equipment based on ubiquitous electric power thing networking, can realize carrying out secondary contrast discernment through the temperature to detecting, divide into two grades with dangerous data and discern the processing, fine reaching avoids the alert purpose of wrong report completely, can realize carrying out dangerous pretesting analysis processing through setting up a plurality of dangerous temperature values, accomplish the preliminary examination and repair, get rid of the danger source, can realize through encoding every power equipment, and integrate data information and coding information, realize data real-time tracking, can lock the position of faulty equipment immediately.
Description
Technical Field
The invention relates to the technical field of power detection, in particular to a remote intelligent online temperature measurement system for power equipment based on a ubiquitous power Internet of things.
Background
The understanding of the power industry to the internet of things is that the internet of things is a network system for realizing identification, perception, interconnection and control of power grid infrastructure, personnel and the environment where the personnel and the power grid are located, the essence of the network system is that various information sensing devices and communication information resources (internet, telecommunication network or even power communication private network) are combined to form a physical entity with self-identification, perception and intelligent processing, and the cooperation and interaction among the entities lead related objects to be mutually perceived and feedback controlled to form a more intelligent power production and living system, so that the concept of the ubiquitous intelligent power grid, namely the ubiquitous power internet of things based on the communication technology, is derived, the concept of the ubiquitous power grid, namely the ubiquitous power internet of things, is deeply fused by combining the promotion of a national grid company to promote the power grid and the internet, the energy internet is constructed, the strong intelligent power grid 'internet of things' which is coordinately developed with various levels of power grids is, the ubiquitous power internet of things is also very widely applied to remote intelligent online temperature detection of power equipment.
At present, in the process of carrying out far-side temperature measurement monitoring on electrical equipment, the temperature of the equipment is mostly directly measured, then data transmission is carried out in a remote wireless or wired mode, and then analysis and alarm are carried out, however, the following defects exist in the remote temperature measurement system:
1) the problem of false alarm exists, because the power temperature can transient rising sometimes, the false triggering electric power safety protection system leads to power equipment can not normally work, can not realize carrying out secondary contrast discernment through the temperature to the detection, divide into two grades with dangerous data and carry out identification processing, can't reach the purpose of avoiding false alarm completely.
2) The existing temperature measurement system can only carry out positioning maintenance under the condition that the temperature of the power equipment exceeds the dangerous temperature and the safety accident or equipment is damaged, or can not realize the dangerous pretesting analysis processing by setting a plurality of dangerous temperature values to complete the preliminary maintenance, eliminate dangerous sources and avoid the waste of power resources.
3) When the existing online temperature measurement system detects that the power equipment works in an abnormal environment, the position of the fault equipment cannot be locked immediately, and the purpose of immediate overhaul cannot be achieved, so that the normal work of the power equipment cannot be guaranteed.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a remote intelligent online temperature measurement system for power equipment based on a ubiquitous power Internet of things, which solves the problem of false alarm of the conventional temperature measurement system, cannot realize the purpose of performing danger pretesting analysis processing by setting a plurality of dangerous temperature values to complete pre-maintenance and eliminate danger sources, and simultaneously cannot lock the position of faulty equipment in real time and achieve the purpose of real-time maintenance when the conventional online temperature measurement system detects that the power equipment works in an abnormal environment.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: remote intelligent online temperature measurement system for power equipment based on ubiquitous power internet of things, including online temperature measurement sensing layer of internet of things, network transmission layer and application intelligence decision center layer, online temperature measurement sensing layer of internet of things is through network transmission layer and application intelligence decision center layer realization wired or wireless both-way connection, network transmission layer includes network transmission unit and the unified protocol transmission module of optical cable, online temperature measurement sensing layer of internet of things is including assembling control module, temperature acquisition terminal, dangerous temperature analysis unit, detection equipment numbering unit, detection data storage module and autogenous formula mutual module, assemble control module and realize data transmission with temperature acquisition terminal through wireless communication module and wired communication module respectively, and assemble control module and realize both-way communication with network transmission layer through wireless communication module and be connected, assemble control module respectively with dangerous temperature analysis unit, The detection equipment numbering unit, the detection data storage module and the self-body type interaction module are electrically connected in a bidirectional mode.
The application intelligent decision center layer comprises a power grid background center server, a dangerous data testing unit, a power grid operation and maintenance module, a dangerous equipment real-time monitoring module, a data coding and identification module, a data safety decoding module, a power grid monitoring computer terminal and a power grid operation and maintenance mobile monitoring terminal, wherein the power grid background center server is respectively in bidirectional electric connection with the dangerous data testing unit, the power grid operation and maintenance module, the dangerous equipment real-time monitoring module, the data coding and identification module, the data safety decoding module, the power grid monitoring computer terminal and the power grid operation and maintenance mobile monitoring terminal.
Preferably, the dangerous temperature analysis unit comprises a micro-processing module, a primary data comparison module, a secondary data comparison module, a feedback module, a dangerous equipment information transmission module and a power grid safety protection module, and the output end of the micro-processing module is electrically connected with the input ends of the primary data comparison module, the secondary data comparison module and the power grid safety protection module respectively.
Preferably, the output ends of the primary data comparison module and the secondary data comparison module are electrically connected with the input end of the feedback module, the output end of the feedback module is electrically connected with the input end of the micro-processing module, and the micro-processing module is electrically connected with the information transmission module of the dangerous equipment in a bidirectional mode.
Preferably, the temperature acquisition terminal is composed of N wireless temperature sensors and N wired temperature sensors, the output ends of the N wireless temperature sensors are electrically connected with the input end of the wireless communication module, and the output ends of the N wired temperature sensors are electrically connected with the input end of the wired communication module.
Preferably, the detection device number unit comprises a device address information input module, a device information integration module, a device number generation module and a number sorting module, and the output end of the device address information input module is electrically connected with the input end of the device information integration module.
Preferably, the output end of the device information integration module is electrically connected with the input end of the device number generation module, and the output end of the device number generation module is electrically connected with the input end of the number sorting module.
Preferably, the network transmission unit includes a data filtering and analyzing module, a data encrypting module and a data carrier sending module.
Preferably, the dangerous data testing unit comprises a dangerous parameter extraction and analysis module, an operating environment simulation module and a testing result recording and evaluating module, wherein the output end of the dangerous parameter extraction and analysis module is electrically connected with the input end of the operating environment simulation module, and the output end of the operating environment simulation module is electrically connected with the input end of the testing result recording and evaluating module.
Preferably, the remote intelligent online temperature measuring method for the power equipment based on the ubiquitous power internet of things specifically comprises the following steps:
s1, firstly, installing a temperature acquisition terminal on the power grid equipment to be detected, selecting a wireless temperature measurement sensor or a wired temperature measurement sensor according to the working environment of the power grid equipment, if the wireless temperature measurement sensor is selected, sending the detected temperature data into a convergence control module through a wireless communication module, and if the wired temperature measurement sensor is selected, sending the detected temperature data into the convergence control module through a wired communication module;
s2, before measurement, electric power personnel respectively guide dangerous temperature values and disaster temperature values of the power grid equipment during working into a convergence control module through a self-body type interaction module, then the convergence control module transmits the dangerous temperature values into a primary data comparison module, transmits the disaster temperature values into a secondary data comparison module, and waits for data comparison;
s3, the convergence control module controls an equipment address information input module in the equipment numbering unit to introduce the address information of each temperature measuring terminal into the system, the equipment address information and the temperature measuring information are integrated through the equipment information integration module, then a fixed number identifier of corresponding equipment is generated through the equipment number generation module, and then the temperature measuring terminals are sequenced through the number sequencing module;
s4, after the convergence control module receives the temperature data transmitted by each side temperature terminal, the convergence control module transmits the temperature data to a dangerous temperature analysis unit, a micro-processing module in the dangerous temperature analysis unit controls a primary data comparison module to perform data comparison first, and judges whether the dangerous temperature value input in the step S2 is exceeded or not, if the dangerous temperature value is not exceeded, the working temperature of the power grid equipment is a normal temperature, and the normal temperature data is transmitted to a power grid monitoring computer terminal or a power grid operation and maintenance mobile monitoring terminal of an application intelligent decision center layer through a network transmission layer only to be read by power personnel;
s5, if the detected temperature exceeds the dangerous temperature value, the micro-processing module transmits the detected temperature data to a secondary data comparison module to be compared with the disaster temperature value input in the step S2, whether the detected temperature data exceeds the disaster temperature value is judged, if the detected temperature data exceeds the disaster temperature value, the micro-processing module controls a power grid safety protection module to automatically disconnect a circuit where the power grid equipment is located for power grid protection, and the power grid safety protection module transmits the power grid safety protection data to a power grid monitoring computer terminal or a power grid operation and maintenance mobile monitoring terminal of an application intelligent decision center layer through a network transmission layer to be read by power personnel;
s6, if the disaster temperature value is not exceeded, the disaster temperature value is transmitted to a power grid background central server of an application intelligent decision center layer through a network transmission layer, transmitted data are decoded through a data security decoding module, then data coding identification processing is carried out through a data coding identification module, after data information of the intelligent equipment is obtained, the power grid background central server controls a danger parameter extraction and analysis module in a danger data test unit to extract information data of the dangerous intelligent equipment, then the running environment of the intelligent equipment is simulated through a running environment simulation test module to carry out testing, then a test result recording and evaluation module is used for analyzing a simulation test result, and whether the danger coefficient exceeds the standard or not is judged;
and S7, if the temperature exceeds the standard, the micro-processing module controls the power grid safety protection module to automatically disconnect the circuit of the power grid equipment to carry out power grid protection, the power grid safety protection module is transmitted into a power grid monitoring computer terminal or a power grid operation and maintenance mobile monitoring terminal of an application intelligent decision center layer through a network transmission layer to read the power grid equipment, then the power grid operation and maintenance module carries out maintenance processing, if the temperature does not exceed the standard, the temperature environment of the intelligent equipment is in a normal working range, and the real-time monitoring module of the dangerous equipment carries out real-time monitoring.
Preferably, before the data decoding in step S6, the data signal to be transmitted is filtered and analyzed by the data filtering and analyzing module in the network transmission unit to reduce signal distortion, then encrypted by the data encryption module, and then transmitted by the data carrier transmission module by being carried on the required electromagnetic wave.
(III) advantageous effects
The invention provides a remote intelligent online temperature measurement system for power equipment based on a ubiquitous power Internet of things. Compared with the prior art, the method has the following beneficial effects:
(1) the power equipment remote intelligent online temperature measurement system based on the ubiquitous power Internet of things comprises an aggregation control module, a temperature acquisition terminal, a dangerous temperature analysis unit, a detection equipment numbering unit, a detection data storage module and a self-body type interaction module through an Internet of things online temperature measurement sensing layer, wherein the aggregation control module is respectively in data transmission with the temperature acquisition terminal through a wireless communication module and a wired communication module, is in bidirectional communication connection with a network transmission layer through a wireless network communication module, is in bidirectional electrical connection with the dangerous temperature analysis unit, the detection equipment numbering unit, the detection data storage module and the self-body type interaction module, can realize secondary comparison and identification on detected temperature to divide dangerous data into two levels for identification processing, and well achieves the aim of completely avoiding false alarms, the situation that the power equipment cannot work normally due to the fact that the power temperature is raised for a short time sometimes and the power safety protection system is triggered by mistake is prevented.
(2) The power equipment remote intelligent online temperature measuring system based on the ubiquitous power Internet of things comprises a power grid background central server, a dangerous data testing unit, a power grid operation and maintenance module, a dangerous equipment real-time monitoring module, a data coding and identifying module, a data safety decoding module, a power grid monitoring computer terminal and a power grid operation and maintenance mobile monitoring terminal by applying an intelligent decision center layer, wherein the power grid background central server is respectively in bidirectional electrical connection with the dangerous data testing unit, the power grid operation and maintenance module, the dangerous equipment real-time monitoring module, the data coding and identifying module, the data safety decoding module, the power grid monitoring computer terminal and the power grid operation and maintenance mobile monitoring terminal, so that the danger pre-testing analysis processing can be carried out by setting a plurality of dangerous temperature values to complete the pre-overhaul, eliminate the dangerous source and well avoid the positioning maintenance under the condition of safety accidents or equipment damage, a situation occurs where power resources are wasted.
(3) The remote intelligent online temperature measurement system for the power equipment based on the ubiquitous power Internet of things comprises an equipment address information input module, an equipment information integration module, an equipment number generation module and a number sequencing module through a detection equipment numbering unit, wherein the output end of the equipment address information input module is electrically connected with the input end of the equipment information integration module, the output end of the equipment information integration module is electrically connected with the input end of the equipment number generation module, and the output end of the equipment number generation module is electrically connected with the input end of the number sequencing module, so that the real-time tracking of data can be realized by encoding each power equipment and integrating data information and encoded information, and the position of faulty equipment can be locked in real time when the online temperature measurement system detects that the power equipment works in an abnormal environment, and the purpose of real-time maintenance is well achieved, thereby ensuring the normal operation of the power equipment.
(4) This remote intelligent online temperature measurement system of power equipment based on ubiquitous electric power thing networking includes data filtering analysis module, data encryption module and data carrier sending module through the network transmission unit, can realize before the decoding of data, carry out filtering analysis with the data signal of treating transmission earlier through the data filtering analysis module in the network transmission unit and handle, reduce signal distortion, then carry out encryption processing through the data encryption module, later send the transmission with the data of treating transmission through data carrier sending module and carry on required electromagnetic wave.
Drawings
FIG. 1 is a schematic block diagram of the architecture of the system of the present invention;
FIG. 2 is an architectural diagram of the system of the present invention;
FIG. 3 is a block diagram of the architecture of an intelligent decision center layer of the present invention;
FIG. 4 is a schematic block diagram of a hazardous data test unit according to the present invention;
FIG. 5 is a schematic block diagram of the structure of a dangerous temperature analysis unit according to the present invention;
FIG. 6 is a schematic block diagram of the structure of the numbering unit of the detecting device according to the present invention;
FIG. 7 is a schematic block diagram of the structure of a network transmission unit according to the present invention;
FIG. 8 is an algorithmic flow chart of the system of the present invention;
FIG. 9 is a schematic circuit diagram of a primary data comparison module and a secondary data comparison module according to the present invention;
fig. 10 is a schematic diagram of data encryption of a network transmission unit according to the present invention.
In the figure, 1 internet of things online temperature measurement sensing layer, 11 convergence control module, 12 temperature acquisition terminal, 13 dangerous temperature analysis unit, 131 micro-processing module, 132 primary data comparison module, 133 secondary data comparison module, 134 feedback module, 135 dangerous equipment information transmission module, 136 power grid safety protection module, 14 detection equipment numbering unit, 141 equipment address information recording module, 142 equipment information integration module, 143 equipment number generation module, 144 numbering sorting module, 15 detection data storage module, 16 self-body type interaction module, 17 wireless communication module, 18 wired communication module, 19 wireless network communication module, 110 wireless temperature measurement sensor, 111 wired temperature measurement sensor, 2 network transmission layer, 21 network transmission unit, 211 data filtering analysis module, 212 data encryption module, 213 data carrier sending module, 22 optical cable unified protocol transmission module, 3, an intelligent decision center layer is applied, a 31 power grid background center server, a 32 dangerous data testing unit, a 321 dangerous parameter extraction and analysis module, a 322 running environment simulation module, a 323 testing result recording and evaluation module, a 33 power grid operation and maintenance module, a 34 dangerous equipment real-time monitoring module, a 35 data coding and recognition module, a 36 data safety decoding module, a 37 power grid monitoring computer terminal and a 38 power grid operation and maintenance mobile monitoring terminal.
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.
Referring to fig. 1 to 10, an embodiment of the present invention provides a technical solution: remote intelligent online temperature measurement system for power equipment based on ubiquitous power internet of things, including internet of things online temperature measurement sensing layer 1, network transmission layer 2 and application intelligent decision center layer 3, wired or wireless bidirectional connection is realized between internet of things online temperature measurement sensing layer 1 and application intelligent decision center layer 3 through network transmission layer 2, network transmission layer 2 includes network transmission unit 21 and optical cable unified protocol transmission module 22, internet of things online temperature measurement sensing layer 1 includes convergence control module 11, temperature acquisition terminal 12, dangerous temperature analysis unit 13, detection equipment numbering unit 14, detection data storage module 15 and self-contained interaction module 16, convergence control module 11 realizes data transmission with temperature acquisition terminal 12 through wireless communication module 17 and wired communication module 18 respectively, wired communication module 18 and optical cable unified protocol transmission module 22 all adopt OPGW to use different information to use unified information transmission protocol to perceive real-time number The method comprises the steps that unified data processing is carried out according to the information transmitted to a power transmission network background center, the information is processed in a centralized mode, the acquired information comprises temperature information of a power transmission line, a corresponding power transmission running state diagnosis result is obtained through the processed and reprocessed information, an application layer is transmitted, operation and maintenance are supported, a convergence control module 11 is in bidirectional communication connection with a network transmission layer 2 through a wireless network communication module 19, a wireless communication module 17 and the wireless network communication module 19 are in wireless communication through GPRS (general packet radio service), GSM (global system for mobile communications) or CDMA (code division multiple access), the convergence control module 11 is in bidirectional electrical connection with a dangerous temperature analysis unit 13, a detection equipment numbering unit 14, a detection data storage module 15 and a self-body type interaction module 16 respectively, the self-body interaction module 16 is a self-body interaction terminal in an internet of things online temperature measurement sensing layer 1, and electric power personnel can guide dangerous temperature values and disaster temperature values In 11, the dangerous temperature analyzing unit 13 includes a micro-processing module 131, a primary data comparing module 132, a secondary data comparing module 133, a feedback module 134, a dangerous equipment information transmitting module 135 and a power grid safety protecting module 136, the micro-processing module 131 uses a processor with model number ARM9, the output end of the micro-processing module 131 is electrically connected with the input ends of the primary data comparing module 132, the secondary data comparing module 133 and the power grid safety protecting module 136, the output ends of the primary data comparing module 132 and the secondary data comparing module 133 are electrically connected with the input end of the feedback module 134, the output end of the feedback module 134 is electrically connected with the input end of the micro-processing module 131, the micro-processing module 131 and the dangerous equipment information transmitting module 135 realize bidirectional electrical connection, the temperature collecting terminal 12 is composed of N wireless temperature measuring sensors 110 and N wired temperature measuring sensors 111, the wireless temperature measuring sensor 110 is HYJT-W, the wired temperature measuring sensor 111 is HIH-3602, the output ends of the N wireless temperature measuring sensors 110 are electrically connected with the input end of the wireless communication module 17, the output ends of the N wired temperature measuring sensors 111 are electrically connected with the input end of the wired communication module 18, the detection equipment numbering unit 14 comprises an equipment address information recording module 141, an equipment information integrating module 142, an equipment number generating module 143 and a number sorting module 144, the output end of the equipment address information recording module 141 is electrically connected with the input end of the equipment information integrating module 142, the output end of the equipment information integrating module 142 is electrically connected with the input end of the equipment number generating module 143, the output end of the equipment number generating module 143 is electrically connected with the input end of the number sorting module 144, and the convergence control module 11 controls the equipment address information recording module 141 in the detection equipment numbering unit 14 to record the address information of each temperature measuring terminal The data transmission method comprises the steps of importing the data into a system, integrating equipment address information and temperature measurement information through an equipment information integration module 142, generating fixed number identifications of corresponding equipment through an equipment number generation module 143, sequencing all temperature measurement terminals through a number sequencing module 144, enabling a network transmission unit 21 to comprise a data filtering analysis module 211, a data encryption module 212 and a data carrier wave sending module 213, carrying out filtering analysis processing on data signals to be transmitted through the data filtering analysis module 211 in the network transmission unit 21 before data decoding, reducing signal distortion, carrying out encryption processing through the data encryption module 212, and then carrying the data to be transmitted on required electromagnetic waves through the data carrier wave sending module 213 for sending and transmitting.
The application intelligent decision center layer 3 comprises a power grid background center server 31, a dangerous data testing unit 32, a power grid operation and maintenance module 33, a dangerous equipment real-time monitoring module 34, a data coding and identifying module 35, a data safety decoding module 36, a power grid monitoring computer terminal 37 and a power grid operation and maintenance mobile monitoring terminal 38, wherein the power grid background center server 31 is respectively in bidirectional electrical connection with the dangerous data testing unit 32, the power grid operation and maintenance module 33, the dangerous equipment real-time monitoring module 34, the data coding and identifying module 35, the data safety decoding module 36, the power grid monitoring computer terminal 37 and the power grid operation and maintenance mobile monitoring terminal 38, the power grid operation and maintenance module 33 is used for carrying out maintenance treatment, if the temperature environment of the intelligent equipment is within a normal working range at the moment, the intelligent equipment is monitored in real time through the dangerous equipment real-time monitoring module 34, the dangerous data testing unit 32 comprises a dangerous parameter extraction and analysis module 321, an operating environment simulation module 322 and a testing result recording and evaluating module 323, an output end of the dangerous parameter extraction and analysis module 321 is electrically connected with an input end of the operating environment simulation module 322, an output end of the operating environment simulation module 322 is electrically connected with an input end of the testing result recording and evaluating module 323, the power grid background central server 31 controls the dangerous parameter extraction and analysis module 321 in the dangerous data testing unit 32 to extract dangerous intelligent equipment information data, then the operating environment of the intelligent equipment is simulated through the operating environment simulation testing module 322 to be tested, then the simulation testing result is analyzed through the testing result recording and evaluating module 323, and whether the danger coefficient exceeds the standard or not is judged.
The invention also discloses a power equipment remote intelligent line temperature measurement method based on the ubiquitous power Internet of things, which specifically comprises the following steps:
s1, firstly, installing a temperature acquisition terminal 12 on the power grid equipment to be detected, selecting a wireless temperature measurement sensor 110 or a wired temperature measurement sensor 111 according to the working environment of the power grid equipment, if the wireless temperature measurement sensor 110 is selected, sending the detected temperature data to the convergence control module 11 through the wireless communication module 17, and if the wired temperature measurement sensor 111 is selected, sending the detected temperature data to the convergence control module 11 through the wired communication module 18;
s2, before measurement, the power personnel respectively import the dangerous temperature value and the disaster temperature value of the power grid equipment during operation into the convergence control module 11 through the self-contained interaction module 16, and then the convergence control module 11 transmits the dangerous temperature value to the primary data comparison module 132 and transmits the disaster temperature value to the secondary data comparison module 133 to be subjected to data comparison;
s3, the convergence control module 11 controls the device address information entry module 141 in the detection device number unit 14 to introduce the address information of each temperature measurement terminal into the system, the device address information and the temperature measurement information are integrated by the device information integration module 142, a fixed number identifier of the corresponding device is generated by the device number generation module 143, and then the temperature measurement terminals are sequenced by the number sequencing module 144;
s4, after the convergence control module 11 receives the temperature data transmitted from each side temperature terminal, the convergence control module transmits the temperature data to the dangerous temperature analysis unit 13, the micro-processing module 131 in the dangerous temperature analysis unit 13 controls the primary data comparison module 132 to perform data comparison first, and judges whether the dangerous temperature value input in the step S2 is exceeded, if not, the working temperature of the power grid equipment is normal temperature, and the normal temperature data is transmitted to the power grid monitoring computer terminal 37 or the power grid operation and maintenance mobile monitoring terminal 38 of the application intelligent decision center layer 3 through the network transmission layer 2 only to be read by power personnel;
s5, if the detected temperature exceeds the dangerous temperature, the microprocessor 131 sends the detected temperature data to the secondary data comparison module 133 to compare with the disaster temperature input in step S2, and determines whether the detected temperature exceeds the disaster temperature, and if the detected temperature exceeds the disaster temperature, the microprocessor 131 controls the grid security protection module 136 to automatically disconnect the circuit where the grid equipment is located for grid protection, and sends the disconnected circuit to the grid monitoring computer terminal 37 or the grid operation and maintenance mobile monitoring terminal 38 of the application intelligent decision center layer 3 through the network transmission layer 2 for the power staff to read;
s6, if the disaster temperature value is not exceeded, the data is transmitted to the power grid background center server 31 of the application intelligent decision center layer 3 through the network transmission layer 2, the transmitted data is decoded through the data security decoding module 36, then the data coding identification processing is performed through the data coding identification module 35, after the data information of the intelligent device is obtained, the power grid background center server 31 controls the dangerous parameter extraction analysis module 321 in the dangerous data test unit 32 to extract the information data of the dangerous intelligent device, then the operating environment of the intelligent device is simulated through the operating environment simulation test module 322 to test, then the simulation test result is analyzed through the test result recording evaluation module 323 to judge whether the dangerous coefficient exceeds the standard, before the data is decoded, the data signal to be transmitted is filtered and analyzed through the data filtering analysis module 211 in the network transmission unit 21, the signal distortion is reduced, then the data encryption module 212 is used for carrying out encryption processing, and then the data carrier sending module 213 is used for carrying the data to be transmitted on the required electromagnetic wave for sending and transmitting;
s7, if the temperature exceeds the standard, the microprocessor 131 controls the grid security protection module 136 to automatically disconnect the circuit where the grid equipment is located for grid protection, and transmits the circuit to the grid monitoring computer terminal 37 or the grid operation and maintenance mobile monitoring terminal 38 of the application intelligent decision center layer 3 through the network transmission layer 2 for power personnel to read, and then carries out maintenance processing through the grid operation and maintenance module 33, if the temperature does not exceed the standard, the temperature environment of the intelligent equipment is in a normal working range at the moment, and real-time monitoring is carried out through the dangerous equipment real-time monitoring module 34.
As can be seen from fig. 9, the "brute force" technique for capturing the fast amplitude change event (transient) by the primary data comparison module 132 and the secondary data comparison module 133 is to simply quantize it by using the processor-supported high-speed ADC and RAM, and the one-shot event may have to be used in this way because the details of the transient need to be obtained, however, if the transient is repetitive, the peak amplitude and other characteristics of the transient can be measured by using the DAC/comparator method, one input pin of the comparator is set by the DAC to a decision level, the transient signal is applied to the other input, the peak transient amplitude can be determined by adjusting the DAC output, and when the threshold is exceeded, the output response of the comparator is captured by using the digital latch, only the transient bandwidth needs to be supported by the comparator input, and the measurement accuracy is not affected by the setup time of the DAC output as long as possible. Thus, the expensive ADC can be replaced in the analog domain with a low cost DAC and comparator.
As shown in fig. 10, the network transmission unit 21 encrypts the data by using a one-way encryption algorithm, in the figure, C acquires the data and the feature code sent from a, and C modifies the data and regenerates the feature code to be transmitted to B together with the data.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. Remote intelligent online temperature measurement system of power equipment based on ubiquitous electric power thing networking, including thing networking online temperature measurement perception layer (1), network transmission layer (2) and application intelligence decision-making center layer (3), wired or wireless both way junction is realized through network transmission layer (2) and application intelligence decision-making center layer (3) in thing networking online temperature measurement perception layer (1), network transmission layer (2) include unified stipulation transmission module (22) of network transmission unit (21) and optical cable, its characterized in that: the online temperature measurement sensing layer (1) of the Internet of things comprises a convergence control module (11), a temperature acquisition terminal (12), a dangerous temperature analysis unit (13), a detection equipment numbering unit (14), a detection data storage module (15) and a self-body type interaction module (16), wherein the convergence control module (11) is respectively in data transmission with the temperature acquisition terminal (12) through a wireless communication module (17) and a wired communication module (18), the convergence control module (11) is in bidirectional communication connection with a network transmission layer (2) through a wireless network communication module (19), and the convergence control module (11) is respectively in bidirectional electric connection with the dangerous temperature analysis unit (13), the detection equipment numbering unit (14), the detection data storage module (15) and the self-body type interaction module (16);
the application intelligent decision center layer (3) comprises a power grid background center server (31), a dangerous data testing unit (32), a power grid operation and maintenance module (33), a dangerous equipment real-time monitoring module (34), a data coding and identifying module (35), a data safety decoding module (36), a power grid monitoring computer terminal (37) and a power grid operation and maintenance mobile monitoring terminal (38), wherein the power grid background center server (31) is respectively in bidirectional electric connection with the dangerous data testing unit (32), the power grid operation and maintenance module (33), the dangerous equipment real-time monitoring module (34), the data coding and identifying module (35), the data safety decoding module (36), the power grid monitoring computer terminal (37) and the power grid operation and maintenance mobile monitoring terminal (38).
2. The remote intelligent online temperature measurement system for the power equipment based on the ubiquitous power internet of things according to claim 1, wherein: the dangerous temperature analysis unit (13) comprises a micro-processing module (131), a primary data comparison module (132), a secondary data comparison module (133), a feedback module (134), a dangerous equipment information transmission module (135) and a power grid safety protection module (136), wherein the output end of the micro-processing module (131) is electrically connected with the input ends of the primary data comparison module (132), the secondary data comparison module (133) and the power grid safety protection module (136) respectively.
3. The remote intelligent online temperature measurement system for the power equipment based on the ubiquitous power internet of things according to claim 2, wherein: the output ends of the primary data comparison module (132) and the secondary data comparison module (133) are electrically connected with the input end of the feedback module (134), the output end of the feedback module (134) is electrically connected with the input end of the micro-processing module (131), and the micro-processing module (131) is electrically connected with the hazardous equipment information transmission module (135) in a bidirectional mode.
4. The remote intelligent online temperature measurement system for the power equipment based on the ubiquitous power internet of things according to claim 1, wherein: the temperature acquisition terminal (12) is composed of N wireless temperature sensors (110) and N wired temperature sensors (111), the output ends of the N wireless temperature sensors (110) are electrically connected with the input end of the wireless communication module (17), and the output ends of the N wired temperature sensors (111) are electrically connected with the input end of the wired communication module (18).
5. The remote intelligent online temperature measurement system for the power equipment based on the ubiquitous power internet of things according to claim 1, wherein: the detection equipment number unit (14) comprises an equipment address information entry module (141), an equipment information integration module (142), an equipment number generation module (143) and a number sorting module (144), and the output end of the equipment address information entry module (141) is electrically connected with the input end of the equipment information integration module (142).
6. The remote intelligent online temperature measurement system for the power equipment based on the ubiquitous power internet of things according to claim 5, wherein: the output end of the equipment information integration module (142) is electrically connected with the input end of the equipment number generation module (143), and the output end of the equipment number generation module (143) is electrically connected with the input end of the number sorting module (144).
7. The remote intelligent online temperature measurement system for the power equipment based on the ubiquitous power internet of things according to claim 1, wherein: the network transmission unit (21) comprises a data filtering and analyzing module (211), a data encryption module (212) and a data carrier sending module (213).
8. The remote intelligent online temperature measurement system for the power equipment based on the ubiquitous power internet of things according to claim 1, wherein: the danger data testing unit (32) comprises a danger parameter extraction and analysis module (321), an operating environment simulation module (322) and a testing result recording and evaluating module (323), wherein the output end of the danger parameter extraction and analysis module (321) is electrically connected with the input end of the operating environment simulation module (322), and the output end of the operating environment simulation module (322) is electrically connected with the input end of the testing result recording and evaluating module (323).
9. The remote intelligent online temperature measurement system for the power equipment based on the ubiquitous power internet of things according to any one of claims 1 to 8, wherein: the online temperature measuring method specifically comprises the following steps:
s1, firstly, installing a temperature acquisition terminal (12) on the power grid equipment to be detected, selecting a wireless temperature measurement sensor (110) or a wired temperature measurement sensor (111) according to the working environment of the power grid equipment, if the wireless temperature measurement sensor (110) is selected, sending the detected temperature data to the convergence control module (11) through a wireless communication module (17), and if the wired temperature measurement sensor (111) is selected, sending the detected temperature data to the convergence control module (11) through a wired communication module (18);
s2, before measurement, electric power personnel respectively guide the dangerous temperature value and the disaster temperature value of the power grid equipment during working into the convergence control module (11) through the self-body type interaction module (16), then the convergence control module (11) transmits the dangerous temperature value into the primary data comparison module (132), transmits the disaster temperature value into the secondary data comparison module (133), and waits for data comparison;
s3, the convergence control module (11) controls the equipment address information entry module (141) in the detection equipment numbering unit (14) to import the address information of each temperature measurement terminal into the system, the equipment address information and the temperature measurement information are integrated through the equipment information integration module (142), fixed number identifiers of corresponding equipment are generated through the equipment number generation module (143), and then the temperature measurement terminals are sequenced through the number sequencing module (144);
s4, after the convergence control module (11) receives temperature data transmitted by each side temperature terminal, the temperature data are transmitted to a dangerous temperature analysis unit (13), a micro-processing module (131) in the dangerous temperature analysis unit (13) controls a primary data comparison module (132) to perform data comparison first, whether the dangerous temperature value input in the step S2 is exceeded is judged, if the dangerous temperature value is not exceeded, the working temperature of the power grid equipment is normal temperature, and the normal temperature data are transmitted to a power grid monitoring computer terminal (37) or a power grid operation and maintenance mobile monitoring terminal (38) of an application intelligent decision center layer (3) through a network transmission layer (2) only to be read by power personnel;
s5, if the dangerous temperature value is exceeded, the micro-processing module (131) transmits the detected temperature data to the secondary data comparison module (133) to be compared with the disaster temperature value input in the step S2, whether the detected temperature data exceed the disaster temperature value is judged, if the detected temperature data exceed the disaster temperature value, the micro-processing module (131) controls the power grid safety protection module (136) to automatically disconnect a circuit where the power grid equipment is located for power grid protection, and the detected temperature data are transmitted to a power grid monitoring computer terminal (37) or a power grid operation and maintenance mobile monitoring terminal (38) of the application intelligent decision center layer (3) through the network transmission layer (2) to be read by power personnel;
s6, if the disaster temperature value is not exceeded, the disaster temperature value is transmitted into a power grid background central server (31) of an application intelligent decision center layer (3) through a network transmission layer (2), the transmitted data is decoded through a data security decoding module (36), then data coding identification processing is carried out through a data coding identification module (35), after data information of the intelligent equipment is obtained, the power grid background central server (31) controls a danger parameter extraction and analysis module (321) in a danger data test unit (32) to extract information data of the dangerous intelligent equipment, then the operating environment of the intelligent equipment is simulated through an operating environment simulation test module (322) to carry out testing, then the simulation test result is analyzed through a test result recording and evaluating module (323), and whether the danger coefficient exceeds the standard is judged;
s7, if the temperature exceeds the standard, the micro-processing module (131) controls the power grid safety protection module (136) to automatically disconnect the circuit where the power grid equipment is located to carry out power grid protection, the power grid safety protection circuit is transmitted to a power grid monitoring computer terminal (37) or a power grid operation and maintenance mobile monitoring terminal (38) of an application intelligent decision center layer (3) through the network transmission layer (2) to be read by power personnel, then the power grid operation and maintenance module (33) carries out maintenance processing, if the temperature does not exceed the standard, the temperature environment of the intelligent equipment is in a normal working range at the moment, and real-time monitoring is carried out through the dangerous equipment real-time monitoring module (34).
10. The remote intelligent online temperature measurement method for the power equipment based on the ubiquitous power internet of things according to claim 9, wherein the method comprises the following steps: before the data decoding of step S6, the data signal to be transmitted is filtered and analyzed by the data filtering and analyzing module (211) in the network transmission unit (21) to reduce signal distortion, then encrypted by the data encryption module (212), and then transmitted by the data carrier transmission module (213) by being carried on the required electromagnetic wave.
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