CN115437303B - Wisdom safety power consumption monitoring and control system - Google Patents

Wisdom safety power consumption monitoring and control system Download PDF

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Publication number
CN115437303B
CN115437303B CN202211388131.2A CN202211388131A CN115437303B CN 115437303 B CN115437303 B CN 115437303B CN 202211388131 A CN202211388131 A CN 202211388131A CN 115437303 B CN115437303 B CN 115437303B
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function
load
representing
wavelet
disturbance value
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CN115437303A (en
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方小勇
汪华平
王金辉
方艺洁
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Yikong Zhichuang Technology Co ltd
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Yikong Zhichuang Technology Co ltd
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428—Safety, monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/24—Pc safety
    • G05B2219/24024—Safety, surveillance
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Abstract

The invention discloses an intelligent safety power utilization monitoring and control system, which comprises: the acquisition module acquires voltage signals, current signals, active power, load temperature, load humidity, smoke concentration, leakage current, power factors and ground resistance values of a plurality of nonlinear loads in real time; the processing module carries out waveform interception on current signals of each nonlinear load to obtain fundamental waves, an environment disturbance value is obtained through processing according to load temperature, load humidity and smoke concentration, and an internal disturbance value is obtained through calculation according to leakage current, a power factor and a ground resistance value; the adjusting module introduces a wavelet transformation function, adjusts a wavelet basis function in the wavelet transformation function according to the environmental disturbance value and the internal disturbance value, converts the wavelet transformation function into a wavelet optimization function, and calls the wavelet optimization function to perform wavelet transformation on each fundamental wave to obtain a correction wave; the control module adjusts the output of each nonlinear load according to the correction wave. The invention improves the harmonic detection precision of the nonlinear load.

Description

Wisdom safety power consumption monitoring and control system
Technical Field
The invention relates to the technical field of intelligent detection, in particular to an intelligent safety power utilization monitoring and control system.
Background
The power load ends in the power system are generally nonlinear loads, the nonlinear loads can generate harmonic waves in the normal operation process of the power system, and the generation of the harmonic waves can not only influence the precision of the parameter measurement of the power system, but also cause the unstable operation of the power system, and can also cause the aging and heating of equipment and influence the service life of the power equipment. In the prior art, for harmonic detection in an electric power system, a fourier transform algorithm and a wavelet transform algorithm are generally adopted, but a harmonic detection method based on fourier transform can only obtain the whole time domain of a signal but cannot obtain the local characteristics of the signal, while the wavelet transform algorithm can fully highlight the characteristics of certain aspects of problems through transformation, can perform local analysis on time and frequency, gradually perform multi-scale refinement on the signal through telescopic translation calculation, finally achieve high-frequency time refinement and low-frequency refinement, and can automatically adapt to the requirements of time-frequency signal analysis. However, the selection process of the optimized basis functions in the wavelet transform algorithm in the prior art is very difficult, and the optimized basis functions optimally selected in different environments are different, so that the wavelet transform algorithm in the prior art is greatly influenced by the environment under the condition of changing the environment, and further the harmonic detection precision of the nonlinear load is not high enough.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent safety power utilization monitoring and control system which is used for improving the harmonic detection precision of a nonlinear load.
In order to achieve the purpose, the invention provides the following technical scheme: an intelligent safety electricity monitoring and control system, comprising:
the acquisition module is used for acquiring voltage signals, current signals, active power, load temperature, load humidity, smoke concentration, leakage current, power factors and ground resistance values of a plurality of nonlinear loads in real time;
the processing module is connected with the acquisition module and used for performing waveform interception on the current signal of each nonlinear load to obtain a corresponding fundamental wave, processing according to the load temperature, the load humidity and the smoke concentration to obtain an environmental disturbance value, and calculating according to the leakage current, the power factor and the ground resistance value to obtain an internal disturbance value;
the adjusting module is connected with the processing module and used for introducing a wavelet transform function, dynamically adjusting a wavelet basis function in the wavelet transform function according to the environmental disturbance value and the internal disturbance value, converting the wavelet transform function into a wavelet optimization function, and calling the wavelet optimization function to perform wavelet transform on each fundamental wave to filter high-frequency harmonic waves and unsteady-state harmonic waves to obtain correction waves;
and the control module is connected with the adjusting module and used for adjusting the output of each nonlinear load according to the correction wave.
Further, the adjustment module includes:
the storage unit is used for storing a plurality of historical environment disturbance values, a plurality of historical internal disturbance values and a plurality of corresponding historical basis function offsets;
the model training unit is connected with the storage unit and used for taking the historical environment disturbance value and the historical internal disturbance value at the same moment as input and taking the corresponding historical basis function offset as output to train to obtain a disturbance offset model;
the function adjusting unit is connected with the model training unit and used for inputting the environment disturbance value and the internal disturbance value into the disturbance offset model to obtain a basic function offset, adding the wavelet basic function and the basic function offset to obtain an optimized basic function, and then adjusting and updating the wavelet transformation function according to the optimized basic function to obtain the wavelet optimized function;
and the waveform adjusting unit is connected with the function adjusting unit and used for performing wavelet transformation on each fundamental wave according to the wavelet optimization function and filtering high-frequency harmonic waves and unsteady-state harmonic waves in the fundamental waves so as to convert the fundamental waves into the correction waves.
Further, the wavelet transform function is configured to:
Figure 580712DEST_PATH_IMAGE001
；
wherein the content of the first and second substances,
Figure 181458DEST_PATH_IMAGE002
for representing the wavelet transform function;
Figure 582484DEST_PATH_IMAGE003
for the purpose of representing the parameters of the scale,
Figure 926877DEST_PATH_IMAGE004
；
Figure 611805DEST_PATH_IMAGE005
for the purpose of representing a parameter of time,
Figure 55556DEST_PATH_IMAGE006
；
Figure 271774DEST_PATH_IMAGE007
for representing the time of the fundamental sampling;
Figure 845624DEST_PATH_IMAGE008
for representing the fundamental wave;
Figure 198108DEST_PATH_IMAGE009
for representing wavelet basis functions
Figure 812760DEST_PATH_IMAGE010
Through the scale parameter
Figure 437646DEST_PATH_IMAGE011
And time parameter
Figure 749941DEST_PATH_IMAGE012
Obtaining a formed wavelet function cluster after transformation;
Figure 894614DEST_PATH_IMAGE013
wherein
Figure 195014DEST_PATH_IMAGE014
For representing the optimized basis functions;
Figure 946676DEST_PATH_IMAGE015
for representing the basis function offset;
Figure 967722DEST_PATH_IMAGE016
for representing the environmental disturbance value;
Figure 232481DEST_PATH_IMAGE017
for representing the internal disturbance value;
Figure 516832DEST_PATH_IMAGE018
a first coefficient configured to represent the environmental disturbance value;
Figure 850730DEST_PATH_IMAGE019
a second coefficient configured to represent the internal disturbance value;
Figure 878729DEST_PATH_IMAGE020
for representing the period of the fundamental samples.
Further, the function adjusting unit constrains the basis function offset, the scale parameter, and the time parameter according to preset constraint conditions in the process of adding the wavelet basis function and the basis function offset, where the constraint conditions are configured to:
Figure 997995DEST_PATH_IMAGE021
wherein, the first and the second end of the pipe are connected with each other,
Figure 453247DEST_PATH_IMAGE022
are all preset constants not less than 0.
Further, the processing module comprises:
the signal interception unit is used for intercepting the waveform of the current signal of each nonlinear load according to a preset rectangular window to obtain the corresponding fundamental wave;
the first processing unit is used for inputting the load temperature, the load humidity and the smoke concentration of each nonlinear load into a preset first calculation formula to obtain the environmental disturbance value;
and the second processing unit is used for inputting the leakage current, the power factor and the ground resistance value of each nonlinear load into a preset second calculation formula to obtain the internal disturbance value.
Further, the first calculation formula is configured to:
Figure 41485DEST_PATH_IMAGE023
wherein the content of the first and second substances,
Figure 607596DEST_PATH_IMAGE024
for representing the load temperature;
Figure 581368DEST_PATH_IMAGE025
for representing the load humidity;
Figure 207522DEST_PATH_IMAGE026
for indicating the smoke concentration;
Figure 516012DEST_PATH_IMAGE027
a third coefficient for representing a configuration for the load temperature;
Figure 885813DEST_PATH_IMAGE028
a fourth coefficient configured to represent the load humidity;
Figure 979671DEST_PATH_IMAGE029
a fifth coefficient for expressing a profile for the smoke concentration.
Further, the second calculation formula is configured to:
Figure 776726DEST_PATH_IMAGE030
wherein the content of the first and second substances,
Figure 65188DEST_PATH_IMAGE031
for representing the power factor;
Figure 973102DEST_PATH_IMAGE032
for representing a phase difference between the voltage signal and the current signal;
Figure 921466DEST_PATH_IMAGE033
for representing the leakage current;
Figure 889422DEST_PATH_IMAGE034
the resistance value to the ground is represented;
Figure 172505DEST_PATH_IMAGE035
for representing active power;
Figure 821792DEST_PATH_IMAGE036
for indicating the apparent power.
Further, the control module includes:
the comparison unit is used for comparing each correction wave with a preset safe waveform range respectively and generating a corresponding comparison result;
and the alarm protection unit is connected with the comparison unit and used for carrying out alarm reminding on the nonlinear load corresponding to the correction wave and stopping outputting the nonlinear load when the comparison result shows that the correction wave is not in the safe waveform range.
The power consumption cloud platform is further connected with a mobile control terminal and a fixed control terminal, and the mobile control terminal and the fixed control terminal are used for carrying out data query on the voltage signal, the current signal, the active power, the load temperature, the load humidity, the smoke concentration, the leakage current, the power factor, the earth resistance value and the correction wave of each nonlinear load.
The invention has the beneficial effects that:
according to the invention, each power parameter in the operation process of the nonlinear load is detected, the environment disturbance quantity and the internal disturbance quantity are obtained through calculation, then the wavelet basis function in the wavelet transform algorithm is optimized according to the environment disturbance quantity and the internal disturbance quantity to obtain the optimized basis function, and then the wavelet basis function in the wavelet transform algorithm is replaced by the optimized basis function to obtain the wavelet optimized function.
Drawings
Fig. 1 is a schematic structural diagram of an intelligent safety electricity monitoring and controlling system according to the present invention.
Reference numerals: 1. an acquisition module; 2. a processing module; 21. a signal intercepting unit; 22. a first processing unit; 23. a second processing unit; 3. an adjustment module; 31. a storage unit; 32. a model training unit; 33. a function adjusting unit; 34. a waveform adjusting unit; 4. a control module; 41. a comparison unit; 42. an alarm protection unit; 5. a data control center; 6. a power utilization cloud platform; 7. and a third-party big data management platform.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. In which like parts are designated by like reference numerals. It should be noted that the terms "front," "back," "left," "right," "upper" and "lower" used in the following description refer to directions in the drawings, and the terms "bottom" and "top," "inner" and "outer" refer to directions toward and away from, respectively, the geometric center of a particular component.
As shown in fig. 1, the intelligent safety power consumption monitoring and controlling system of the present embodiment includes:
the acquisition module 1 is used for acquiring voltage signals, current signals, active power, load temperature, load humidity, smoke concentration, leakage current, power factors and ground resistance values of a plurality of nonlinear loads in real time;
the processing module 2 is connected with the acquisition module 1 and is used for carrying out waveform interception on current signals of each nonlinear load to obtain a corresponding fundamental wave, processing according to the load temperature, the load humidity and the smoke concentration to obtain an environment disturbance value, and calculating according to the leakage current, the power factor and the ground resistance value to obtain an internal disturbance value;
the adjusting module 3 is connected with the processing module 2 and used for introducing a wavelet transform function, dynamically adjusting a wavelet basis function in the wavelet transform function according to the environmental disturbance value and the internal disturbance value, converting the wavelet transform function into a wavelet optimization function, and calling the wavelet optimization function to perform wavelet transform on each fundamental wave to filter high-frequency harmonic waves and unsteady-state harmonic waves to obtain correction waves;
and the control module 4 is connected with the adjusting module 3 and used for adjusting the output of each nonlinear load according to the correction wave.
Specifically, in the present embodiment, the nonlinear load includes a three-phase load and a single-phase load. The acquisition module 1 may be a signal acquisition device corresponding to a voltage signal, a current signal, active power, a load temperature, a load humidity, a smoke concentration, a leakage current, a power factor, and a ground resistance value, and includes a voltmeter, an ammeter, a power tester, a temperature sensor, a humidity sensor, a smoke sensor, a power factor tester, a resistance detector, and the like. The processing module 2 may be a signal processing software installed on a computer, which intercepts the fundamental wave in the current signal through a rectangular window, whose window width is consistent with the length of the current signal, in this embodiment 10us. And simultaneously, the signal processing software calculates an environmental disturbance value for representing the external environmental disturbance degree according to the load temperature, the load humidity and the smoke concentration respectively, calculates an internal disturbance value for representing the internal factor disturbance degree according to the leakage current, the power factor and the ground resistance value, and both the external environment and the internal factor can influence the harmonic content in the current signal in the nonlinear load operation process. The adjustment module 3 may be waveform detection adjustment software installed on a computer. The waveform detection adjusting software is provided with a universal wavelet transform function, the waveform detection adjusting software dynamically adjusts a wavelet basis function according to an external interference value and an internal interference value output by signal processing software, then the wavelet basis function in a wavelet transform algorithm is replaced by the optimized basis function to obtain a wavelet optimization function, the wavelet optimization function can be dynamically adjusted according to an environment disturbance quantity and an internal disturbance quantity, the influence of the environment on harmonic detection precision is avoided, and the harmonic detection precision of a nonlinear load is improved.
Preferably, the adjusting module 3 comprises:
the storage unit 31 is used for storing a plurality of historical environment disturbance values, a plurality of historical internal disturbance values and a plurality of corresponding historical basis function offsets;
the model training unit 32 is connected with the storage unit 31 and is used for taking the historical environment disturbance value and the historical internal disturbance value at the same moment as input and taking the corresponding historical basis function offset as output to train to obtain a disturbance offset model;
the function adjusting unit 33 is connected with the model training unit 32 and is used for inputting the environmental disturbance value and the internal disturbance value into the disturbance offset model to obtain a basic function offset, adding the wavelet basic function and the basic function offset to obtain an optimized basic function, and adjusting and updating the wavelet transform function according to the optimized basic function to obtain a wavelet optimized function;
and the waveform adjusting unit 34 is connected with the function adjusting unit 33 and used for performing wavelet transformation on each fundamental wave according to the wavelet optimization function and filtering high-frequency harmonic waves and unsteady-state harmonic waves in the fundamental waves so as to convert the fundamental waves into correction waves.
Specifically, in the present embodiment, the storage unit 31 may be an internal storage space allocated for the waveform detection adjustment software in the computer. The historical environmental disturbance value, the historical internal disturbance value and the historical basis function offset in the storage unit 31 are divided into a training set and a test set according to a preset proportion, and the preset proportion can be 7:1. The function adjusting unit 33 takes the historical environmental disturbance value and the historical internal disturbance value in the training set as the input of the model, and takes the historical basis function offset in the training set as the output of the model, and obtains the disturbance offset model through training. After the disturbance deviation model is trained, inputting the historical environmental disturbance value and the historical internal disturbance value in the test set into the model to obtain a basic function deviation, and then comparing the basic function deviation with the historical basic function deviation in the test set to obtain the test precision of the model, wherein the model is trained only when the test precision of the model reaches more than 90%, otherwise, the model is continuously trained until the test precision reaches more than 90%. The function adjusting unit 33 inputs the environmental disturbance value and the internal disturbance value obtained by real-time calculation into the trained disturbance offset model, so that the disturbance offset model outputs the basis function offset. And then overlapping the basic function offset and the wavelet basic function to obtain an optimized basic function, and replacing the wavelet basic function with the optimized basic function to update the wavelet transformation function to obtain the wavelet optimized function. The waveform adjusting unit 34 performs wavelet transformation on the fundamental wave intercepted by the signal processing software by calling the optimized wavelet optimization function, so as to filter the high-frequency harmonic wave and the unsteady harmonic wave to obtain a correction wave, wherein the waveform accuracy of the correction wave is higher than that of the waveform obtained by directly using a harmonic detection method of wavelet transformation and fourier transformation in the prior art.
Preferably, the wavelet transform function is configured to:
Figure 952559DEST_PATH_IMAGE001
；
wherein the content of the first and second substances,
Figure 920777DEST_PATH_IMAGE002
for representing the wavelet transform function;
Figure 238626DEST_PATH_IMAGE003
for the purpose of representing the parameters of the scale,
Figure 550659DEST_PATH_IMAGE004
；
Figure 535932DEST_PATH_IMAGE005
for the purpose of representing a parameter of time,
Figure 32642DEST_PATH_IMAGE006
；
Figure 837786DEST_PATH_IMAGE037
for representing the time of the fundamental sampling;
Figure 828876DEST_PATH_IMAGE008
for representing the fundamental wave;
Figure 668656DEST_PATH_IMAGE038
for representing wavelet basis functions
Figure 834802DEST_PATH_IMAGE010
Through the scale parameter
Figure 392822DEST_PATH_IMAGE011
And timeParameter(s)
Figure 922024DEST_PATH_IMAGE039
Obtaining a formed wavelet function cluster after transformation;
Figure 881890DEST_PATH_IMAGE013
wherein
Figure 720401DEST_PATH_IMAGE014
For representing the optimized basis functions;
Figure 500139DEST_PATH_IMAGE015
for representing the basis function offset;
Figure 895348DEST_PATH_IMAGE040
for representing the environmental disturbance value;
Figure 647403DEST_PATH_IMAGE017
for representing the internal disturbance value;
Figure 469866DEST_PATH_IMAGE018
a first coefficient configured to represent the environmental disturbance value;
Figure 425314DEST_PATH_IMAGE019
a second coefficient configured to represent the internal disturbance value;
Figure 624215DEST_PATH_IMAGE020
representing the period of the fundamental sample.
Preferably, the function adjusting unit 33 constrains the basis function offset, the scale parameter and the time parameter according to a preset constraint condition in the process of adding the wavelet basis function and the basis function offset, where the constraint condition is configured to:
Figure 230776DEST_PATH_IMAGE021
wherein the content of the first and second substances,
Figure 224140DEST_PATH_IMAGE041
are all preset constants not less than 0.
Specifically, in this embodiment, constraint conditions are set, and the basis function offset, the scale parameter, and the time parameter are constrained within a preset range, so that it is avoided that the accuracy of the finally obtained correction wave is not high enough due to an error in the calculation process of the basis function offset, the scale parameter, and the time parameter constraint, and meanwhile, the computation workload in the computation process can be effectively reduced.
Preferably, the processing module 2 comprises:
the signal intercepting unit 21 is configured to perform waveform intercepting on current signals of each nonlinear load according to a preset rectangular window to obtain a corresponding fundamental wave;
the first processing unit 22 is configured to input the load temperature, the load humidity, and the smoke concentration of each nonlinear load into a preset first calculation formula to obtain an environmental disturbance value;
the second processing unit 23 is configured to input the leakage current, the power factor, and the ground resistance value of each nonlinear load into a preset second calculation formula to obtain an internal disturbance value.
Preferably, the first calculation formula is configured to:
Figure 165420DEST_PATH_IMAGE042
wherein the content of the first and second substances,
Figure 168011DEST_PATH_IMAGE024
for representing the load temperature;
Figure 629080DEST_PATH_IMAGE025
for representing the load humidity;
Figure 793345DEST_PATH_IMAGE026
for indicating the smoke concentration;
Figure 726316DEST_PATH_IMAGE027
a third coefficient for representing a configuration for the load temperature;
Figure 267018DEST_PATH_IMAGE028
a fourth coefficient configured to represent the load humidity;
Figure 972806DEST_PATH_IMAGE029
a fifth coefficient for expressing a profile for the smoke concentration.
Preferably, the second calculation formula is configured to:
Figure 573552DEST_PATH_IMAGE030
wherein the content of the first and second substances,
Figure 833632DEST_PATH_IMAGE031
for representing the power factor;
Figure 178025DEST_PATH_IMAGE032
for representing a phase difference between the voltage signal and the current signal;
Figure 348107DEST_PATH_IMAGE033
for representing the leakage current;
Figure 119754DEST_PATH_IMAGE034
the resistance value to the ground is represented;
Figure 758808DEST_PATH_IMAGE035
for representing active power;
Figure 641313DEST_PATH_IMAGE036
for indicating the apparent power.
Preferably, the control module 4 comprises:
the comparison unit 41 is used for comparing each correction wave with a preset safe waveform range and generating a corresponding comparison result;
and the alarm protection unit 42 is connected with the comparison unit 41 and is used for carrying out alarm reminding on the nonlinear load corresponding to the correction wave and stopping outputting the nonlinear load when the comparison result shows that the correction wave is not in the safe waveform range.
Specifically, in this embodiment, the control module 4 may perform single-phase output or three-phase output or single-phase and three-phase integrated output according to the correction wave, and perform alarm and power-off protection when the correction wave of each output loop is abnormal, and the control module 4 may also monitor real-time power consumption data such as voltage signals, current signals, active power, load temperature, load humidity, smoke concentration, leakage current, power factor, and ground resistance of each nonlinear load, and allocate a corresponding threshold to each real-time power consumption data, and perform alarm and power-off protection when the threshold is exceeded.
Preferably, the system further comprises a data control center 5, which is respectively connected with the control module 4, the electricity cloud platform 6 or the third-party big data management platform 7, the data control center 5 is used for sending voltage signals, current signals, active power, load temperature, load humidity, smoke concentration, leakage current, power factors, earth resistance values and correction waves of each nonlinear load to the electricity cloud platform 6 or the third-party big data management platform 7 for storage, the electricity cloud platform 6 is further connected with a mobile control terminal and a fixed control terminal, and the mobile control terminal and the fixed control terminal are used for carrying out data query on the voltage signals, the current signals, the active power, the load temperature, the load humidity, the smoke concentration, the leakage current, the power factors, the earth resistance values and the correction waves of each nonlinear load.
Specifically, in this embodiment, the control module 4 is equipped with two sets of communication modules, the downlink module performs data acquisition and instruction issue with the processing module 2 through the HPLC carrier module, and the uplink module performs data transmission with the data control center 5 through the DTU. The data control center 5 can simultaneously carry out data collection and instruction interaction on a plurality of control modules 4; the data control center 5 can synchronize data to the power utilization cloud platform 6 through TCP/IP or 2G, 3G, 4G and 5G/SIM cards according to the needs of users, can also be accessed to a third-party big data management platform 7, and receives related instructions sent by the third-party big data management platform 7. The electricity utilization cloud platform 6 can access through a mobile phone, a computer and a management account, check the nonlinear loads and the real-time electricity utilization data on the acquisition module 1 according to the account authority, and remotely control the nonlinear loads. The management account number comprises three levels, namely a platform manager, a local manager and an equipment manager, and the management account number of each level corresponds to a corresponding management authority. The power utilization cloud platform 6 can store the real-time power utilization data of the data control centers 5 and download the data through the background management account. Can also set up name, position, the administrator's phone of every nonlinear load and collection module 1 in this wisdom safety power consumption monitoring and control system, when real-time power consumption data reaches and predetermines safe threshold value, dial the administrator's phone automatically to report trouble equipment name, position and fault type, realize automatic alarm, promote the security.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.

Claims (4)

1. The utility model provides an wisdom safety power consumption monitoring and control system which characterized in that:
the acquisition module (1) is used for acquiring voltage signals, current signals, active power, load temperature, load humidity, smoke concentration, leakage current, power factors and ground resistance values of a plurality of nonlinear loads in real time;
the processing module (2) is connected with the acquisition module (1) and is used for performing waveform interception on the current signals of the nonlinear loads to obtain corresponding fundamental waves, processing according to the load temperature, the load humidity and the smoke concentration to obtain an environmental disturbance value, and calculating according to the leakage current, the power factor and the ground resistance value to obtain an internal disturbance value;
the adjusting module (3) is connected with the processing module (2) and is used for introducing a wavelet transform function, dynamically adjusting a wavelet basis function in the wavelet transform function according to the environmental disturbance value and the internal disturbance value, converting the wavelet transform function into a wavelet optimization function, and calling the wavelet optimization function to perform wavelet transform on each fundamental wave to filter high-frequency harmonic waves and unsteady-state harmonic waves to obtain correction waves;
the control module (4) is connected with the adjusting module (3) and is used for adjusting the output of each nonlinear load according to the correction wave;
the adjustment module (3) comprises:
the storage unit (31) is used for storing a plurality of historical environment disturbance values, a plurality of historical internal disturbance values and a plurality of corresponding historical basis function offsets;
the model training unit (32) is connected with the storage unit (31) and is used for taking the historical environment disturbance value and the historical internal disturbance value at the same moment as input and taking the corresponding historical basis function offset as output to train to obtain a disturbance offset model;
the function adjusting unit (33) is connected with the model training unit (32) and is used for inputting the environment disturbance value and the internal disturbance value into the disturbance offset model to obtain a basic function offset, adding the wavelet basic function and the basic function offset to obtain an optimized basic function, and then adjusting and updating the wavelet transformation function according to the optimized basic function to obtain the wavelet optimized function;
the waveform adjusting unit (34) is connected with the function adjusting unit (33) and is used for performing wavelet transformation on each fundamental wave according to the wavelet optimization function and filtering high-frequency harmonic waves and unstable-state harmonic waves in the fundamental waves so as to convert the fundamental waves into the correction waves;
the wavelet transform function is configured to:
Figure 431169DEST_PATH_IMAGE001
；
wherein the content of the first and second substances,
Figure 683159DEST_PATH_IMAGE002
for representing the wavelet transform function;
Figure 396031DEST_PATH_IMAGE003
for the purpose of representing the parameters of the scale,
Figure 24458DEST_PATH_IMAGE004
；
Figure 637711DEST_PATH_IMAGE005
for the purpose of representing a parameter of time,
Figure 60602DEST_PATH_IMAGE006
；
Figure 447721DEST_PATH_IMAGE007
for representing the time of the fundamental sampling;
Figure 630572DEST_PATH_IMAGE008
for representing the fundamental wave;
Figure 583485DEST_PATH_IMAGE009
for representing wavelet basis functions
Figure 692124DEST_PATH_IMAGE010
Through the scale parameter
Figure 300960DEST_PATH_IMAGE003
And time parameter
Figure 536769DEST_PATH_IMAGE005
Obtaining a formed wavelet function cluster after transformation;
Figure 360500DEST_PATH_IMAGE011
wherein
Figure 390772DEST_PATH_IMAGE012
For representing the optimized basis functions;
Figure 486904DEST_PATH_IMAGE013
for representing the basis function offset;
Figure 340171DEST_PATH_IMAGE014
for representing the environmental disturbance value;
Figure 267676DEST_PATH_IMAGE015
for representing the internal disturbance value;
Figure 219582DEST_PATH_IMAGE016
a first coefficient configured to represent the environmental disturbance value;
Figure 865327DEST_PATH_IMAGE017
a second coefficient configured to represent the internal disturbance value;
Figure 115043DEST_PATH_IMAGE018
for representing the period of the fundamental sample;
the processing module (2) comprises:
the signal intercepting unit (21) is used for intercepting the waveform of the current signal of each nonlinear load according to a preset rectangular window to obtain the corresponding fundamental wave;
a first processing unit (22) for inputting the load temperature, the load humidity and the smoke concentration of each nonlinear load into a preset first calculation formula to obtain the environmental disturbance value;
the second processing unit (23) is configured to input the leakage current, the power factor, and the ground resistance value of each of the nonlinear loads into a preset second calculation formula to obtain the internal disturbance value;
the first calculation formula is configured to:
Figure 411901DEST_PATH_IMAGE019
wherein the content of the first and second substances,
Figure 783977DEST_PATH_IMAGE020
for representing the load temperature;
Figure 667750DEST_PATH_IMAGE021
for representing the load humidity;
Figure 721157DEST_PATH_IMAGE022
for indicating the smoke concentration;
Figure 623254DEST_PATH_IMAGE023
a third coefficient for representing a configuration for the load temperature;
Figure 415498DEST_PATH_IMAGE024
a fourth coefficient configured to represent the load humidity;
Figure 770256DEST_PATH_IMAGE025
a fifth coefficient for representing the smoke concentration profile;
the second calculation formula is configured to:
Figure 627354DEST_PATH_IMAGE026
wherein the content of the first and second substances,
Figure 134690DEST_PATH_IMAGE027
for representing the power factor;
Figure 848568DEST_PATH_IMAGE028
for representing a phase difference between the voltage signal and the current signal;
Figure 205468DEST_PATH_IMAGE029
for representing the leakage current;
Figure 600678DEST_PATH_IMAGE030
for representing the resistance to ground value;
Figure 211788DEST_PATH_IMAGE031
for representing active power;
Figure 112879DEST_PATH_IMAGE032
for indicating the apparent power.
2. The system of claim 1, wherein the intelligent safety power monitoring and control system comprises: the function adjustment unit (33) constrains the basis function offset, the scale parameter and the time parameter according to a preset constraint condition in the process of adding the wavelet basis function and the basis function offset, wherein the constraint condition is configured to:
Figure 442229DEST_PATH_IMAGE033
wherein the content of the first and second substances,
Figure 958573DEST_PATH_IMAGE034
are all preset constants not less than 0.
3. The system of claim 1, wherein the intelligent safety power monitoring and control system comprises: the control module (4) comprises:
the comparison unit (41) is used for comparing each correction wave with a preset safe waveform range and generating a corresponding comparison result;
and the alarm protection unit (42) is connected with the comparison unit (41) and is used for carrying out alarm reminding on the nonlinear load corresponding to the correction wave and stopping outputting the nonlinear load when the comparison result shows that the correction wave is not in the safe waveform range.
4. The system of claim 1, wherein the intelligent safety power monitoring and control system comprises: the power consumption cloud platform (6) or the third-party big data management platform (7) are connected with the control module (4), the power consumption cloud platform (6) or the third-party big data management platform (7) respectively, the data control center (5) is used for sending the voltage signal, the current signal, the active power, the load temperature, the load humidity, the smoke concentration, the leakage current, the power factor, the earth resistance value and the correction wave of each nonlinear load to the power consumption cloud platform (6) or the third-party big data management platform (7) for storage, the power consumption cloud platform (6) is further connected with a mobile control terminal and a fixed control terminal, and the mobile control terminal and the fixed control terminal are used for carrying out data query on the voltage signal, the current signal, the active power, the load temperature, the load humidity, the smoke concentration, the leakage current, the power factor, the earth resistance value and the correction wave of each nonlinear load.
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