CN113960361A - Energy consumption monitoring system and method based on big data - Google Patents
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Abstract
The invention provides an energy consumption monitoring system based on big data, which comprises a plurality of intelligent terminals, wherein each intelligent terminal corresponds to an electric device, and each intelligent terminal comprises: the current monitoring device is used for monitoring the current of the electric equipment at any moment and generating current data; the voltage monitoring device is used for monitoring the voltage of the electric equipment at any moment and generating voltage data; and the processing device is respectively connected with the current monitoring device and the voltage monitoring device, and generates log data based on the current data and the voltage data and transmits the log data. The invention can realize the power utilization monitoring of large-scale equipment and generate corresponding log data, and the log data can be checked through the back end to watch and monitor the energy consumption.
Description
Technical Field
The invention relates to the technical field of monitoring and big data, in particular to an energy consumption monitoring system and method based on big data.
Background
The data acquisition can refer to the process of properly converting various parameters of a measured object through various sensors and then transmitting the parameters to a controller through the steps of signal conditioning, sampling, quantization, coding, transmission and the like, and data mining, data analysis and the like realized based on big data all need data acquisition as support, so the data acquisition is widely applied to various fields. In the field of traffic road equipment, no good energy consumption monitoring system exists, and the energy consumption condition of large-scale traffic equipment can be effectively monitored.
Disclosure of Invention
The invention provides an energy consumption monitoring system and method based on big data, which can monitor the electricity consumption of large-scale equipment and generate corresponding log data, and can view the log data through the back end to watch and monitor the energy consumption.
The invention provides an energy consumption monitoring system based on big data, which comprises a plurality of intelligent terminals, wherein each intelligent terminal corresponds to an electric device, and each intelligent terminal comprises:
the current monitoring device is used for monitoring the current of the electric equipment at any moment and generating current data;
the voltage monitoring device is used for monitoring the voltage of the electric equipment at any moment and generating voltage data;
and the processing device is respectively connected with the current monitoring device and the voltage monitoring device, and generates log data based on the current data and the voltage data and transmits the log data.
Furthermore, the intelligent terminal also comprises a communication device, the intelligent terminal is connected with the background server through the communication device, and the log data is sent to the background server through the communication device;
the intelligent terminals are divided into different terminal groups according to different electric equipment corresponding to the intelligent terminals, wherein each terminal group comprises at least one intelligent terminal.
Further, the current monitoring device is a current sensor;
the voltage monitoring device is a voltage sensor;
the processing device is any one or more of a processor, a controller, an FPGA, a singlechip and an integrated circuit.
Further, the server acquires log data of all intelligent terminals in any one terminal group:
and comparing the voltage data or the current data of any two intelligent terminals, and outputting a reminding signal if the comparison value of the voltage data is greater than a first preset value or the comparison value of the current data is greater than a second preset value.
The invention also provides an energy consumption monitoring method based on big data, which is used for monitoring different electric equipment by respectively deploying different intelligent terminals and comprises the following steps:
monitoring the current of the electric equipment at any time and generating current data;
monitoring the voltage of the electric equipment at any moment and generating voltage data;
and generating log data based on the current data and the voltage data and transmitting the log data.
Furthermore, the intelligent terminals are divided into different terminal groups according to different electric devices corresponding to the intelligent terminals, wherein each terminal group comprises at least one intelligent terminal.
Further, after the step of generating log data based on the current data and the voltage data and transmitting the log data, the method further includes the steps of:
acquiring log data of all intelligent terminals in any terminal group;
and comparing the voltage data or the current data of any two intelligent terminals, and outputting a reminding signal to remind if the comparison value of the voltage data is greater than a first preset value or the comparison value of the current data is greater than a second preset value.
Further, the method also comprises the following steps:
based on the formula (1) to obtainVoltage data U0(a，t0)，
Wherein U is0(a，t0) Showing t after the integration optimization of the a-th intelligent terminal0Voltage data of a time; Δ t represents the approach time (representing a short period of time, taking 5 s); u (a, t) represents voltage data of the intelligent terminal at the t moment in log data of the a-th intelligent terminal;
obtaining current data I based on equation (2)0(a，t0)，
Wherein I0(a，t0) Showing t after the integration optimization of the a-th intelligent terminal0Current data at a time; Δ t represents the approach time (representing a short period of time, taking 5 s); and I (a, t) represents current data of the intelligent terminal at the time t in log data of the a-th intelligent terminal.
Further, based on the formula (3), the voltage data of any two intelligent terminals in the terminal group are subjected to traversing comparison and then comprehensive processing to obtain a comparison value of comprehensive voltage data
Wherein Δ U (t)0) Represents t0Comparing the comprehensive voltage data at the moment; n represents the total number of intelligent terminals in the terminal group; n! Represents a factorial of n; u shape0(i，t0) Showing t after the integration optimization of the ith intelligent terminal0Voltage data of a time;
traversing, comparing and comprehensively processing the current data of any two intelligent terminals in the intelligent terminals by using a formula (4) to obtain a comparison value of the comprehensive current data, thereby improving the detection capability of the energy consumption monitoring system
Wherein Δ I (t)0) Represents t0Comparing the comprehensive current data at the moment; n represents the total number of intelligent terminals in the terminal group; n! Represents a factorial of n; i is0(i，t0) Showing t after the integration optimization of the ith intelligent terminal0Current data at a time;
step A3: obtaining an output reminding signal value by combining the first preset value and the second preset value by using a formula (5)
Wherein T represents the output alert signal value; delta U0Representing the first preset value; delta I0Representing the second preset value;
the output reminder value obtained in step a3 may be used to output a corresponding reminder for reminding, which specifically includes,
when T is 0, the comparison value of the voltage data is smaller than a first preset value, and the comparison value of the current data is smaller than a second preset value, and a reminding signal is not output for reminding;
when T is equal to-1, the comparison value of the voltage data is smaller than a first preset value, and the comparison value of the current data is larger than a second preset value, and then a current data reminding signal is output for reminding;
when T is 1, the comparison value of the voltage data is larger than a first preset value, and the comparison value of the current data is smaller than a second preset value, a voltage data reminding signal is output for reminding;
when T is 2, the comparison value of the voltage data is larger than the first preset value, and the comparison value of the current data is larger than the second preset value, and then the current data reminding signal and the voltage data reminding signal are output at the same time for reminding.
And further, sending the current data reminding signal or the voltage data reminding signal to the rear end.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of a first embodiment of a big data based energy consumption monitoring system;
fig. 2 is a schematic structural diagram of a first embodiment of a big data-based energy consumption monitoring method.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides an energy consumption monitoring system based on big data, which is shown in figure 1, and the structural schematic diagram of a first implementation mode of the energy consumption monitoring system comprises a plurality of intelligent terminals, wherein each intelligent terminal corresponds to an electric device, and the electric energy of the electric device is monitored through the intelligent terminals. The figure shows a powered device 1, a powered device 2 and a powered device N, and a corresponding intelligent terminal 1, an intelligent terminal 2 and an intelligent terminal N.
The intelligent terminal comprises a current monitoring device and a voltage monitoring device. The current monitoring device is used for monitoring the current of the electric equipment at any time and generating current data, wherein the current data can be an instantaneous current value. The voltage monitoring device is used for monitoring the voltage of the electric equipment at any time and generating voltage data, wherein the voltage data can be an instantaneous voltage value. And the processing device is respectively connected with the current monitoring device and the voltage monitoring device, and generates log data based on the current data and the voltage data and transmits the log data.
In one embodiment, the intelligent terminal further comprises a communication device, the intelligent terminal is connected with the background server through the communication device and sends the log data to the background server through the communication device, the intelligent terminals are divided into different terminal groups according to different electric devices corresponding to the intelligent terminals, and each terminal group comprises at least one intelligent terminal. By sending the log data to the server at the background, the log data are convenient for users, and the monitoring of the voltage data and the current data is realized.
In one embodiment, the current monitoring device is a current sensor; the voltage monitoring device is a voltage sensor; the processing device is any one or more of a processor, a controller, an FPGA, a singlechip and an integrated circuit.
In one embodiment, a server acquires log data of all intelligent terminals in any one terminal group;
and comparing the voltage data or the current data of any two intelligent terminals, and outputting a reminding signal if the comparison value of the voltage data is greater than a first preset value or the comparison value of the current data is greater than a second preset value. And if the voltage data or the current data is proved to be excessively high and is not the rated service voltage of the electric equipment, the possibility that the electric equipment is different at the moment is proved.
The invention also provides an energy consumption monitoring method based on big data, and the flow chart shown in fig. 2 is used for respectively deploying different intelligent terminals to monitor different electric equipment, and the method comprises the following steps:
s1, current monitoring step: monitoring the current of the electric equipment at any time and generating current data;
s2, voltage monitoring: monitoring the voltage of the electric equipment at any moment and generating voltage data;
s3, log generation step: and generating log data based on the current data and the voltage data and transmitting the log data.
The intelligent terminals are divided into different terminal groups according to different electric equipment corresponding to the intelligent terminals, wherein each terminal group comprises at least one intelligent terminal.
In one embodiment, after the step of generating log data based on the current data and the voltage data and transmitting, the method further comprises the steps of:
and acquiring log data of all intelligent terminals in any terminal group.
And comparing the voltage data or the current data of any two intelligent terminals, and outputting a reminding signal to remind if the comparison value of the voltage data is greater than a first preset value or the comparison value of the current data is greater than a second preset value.
In one embodiment, the voltage data or the current data of the intelligent terminal is firstly subjected to data statistics according to log data of all the intelligent terminals so as to optimize and integrate the data, so that the voltage data or the current data which can finally reflect the intelligent terminal is obtained, and then the voltage data or the current data of any two intelligent terminals in all the intelligent terminals are intelligently and automatically compared by using a formula, wherein the specific steps comprise the following steps:
step A1, obtaining voltage data U based on formula (1)0(a，t0)，
Wherein U is0(a，t0) Showing t after the integration optimization of the a-th intelligent terminal0Voltage data of a time; Δ t represents the approach time (representing a short period of time, taking 5 s); and U (a, t) represents voltage data of the intelligent terminal at the time t in log data of the a-th intelligent terminal. The voltage data obtained by the method is more accurate, and error reminding caused by the change of the instantaneous voltage drop of a normal circuit is avoided.
In the formula
The purpose of the integration is to use the integration pair t0-Δt，t0+Δt]The voltage data in the period is accumulated and then used in the formula
Let [ t ] in0-Δt，t0+Δt]The difference between all the voltage data and the accumulated value in the period of time can accurately reflect the t0-Δt，t0+Δt]Whether all voltage data in the period have large fluctuation values or not is integrated by the root number so as to accumulate the large fluctuation values to meet the integration without influencing the data,
is intended to reflect [ t ]0-Δt，t0+Δt]The differences between all the voltage data and the overall average during the period are integrated to show the differences, and finally the overall average is carried out
The obtained voltage data after integration optimization is more accurate by adding the difference of the accumulated integration.
Step A2, obtaining current data I based on formula (2)0(a，t0)，
Wherein I0(a，t0) Showing t after the integration optimization of the a-th intelligent terminal0Current data at a time; Δ t represents the approach time (representing a short period of time, taking 5 s); and I (a, t) represents current data of the intelligent terminal at the time t in log data of the a-th intelligent terminal.
In one embodiment, the voltage data of any two intelligent terminals in the terminal group are subjected to traversal comparison and then comprehensive processing based on formula (3) to obtain a comparison value of comprehensive voltage data
Wherein Δ U (t)0) Represents t0Comparing the comprehensive voltage data at the moment; n represents the total number of intelligent terminals in the terminal group; n! Represents a factorial of n; u shape0(i，t0) Showing t after the integration optimization of the ith intelligent terminal0Voltage data of the moment.
And (4) traversing, comparing and comprehensively processing the current data of any two intelligent terminals in the intelligent terminals by using a formula (4) to obtain a comparison value of the comprehensive current data, so that the detection capability of the energy consumption monitoring system is improved.
Wherein Δ I (t)0) Represents t0Comparing the comprehensive current data at the moment; n represents the total number of intelligent terminals in the terminal group; n! Represents a factorial of n; i is0(i，t0) Showing t after the integration optimization of the ith intelligent terminal0Current data at time. In the formula
The purpose of the method is to obtain the average value of the voltage data of all intelligent terminals in a terminal group; then use
Traversing and comparing the voltage data of all the intelligent terminals in the terminal group with the mean value, thereby integrating the factors with large voltage data fluctuation of all the intelligent terminals, and then utilizing the factors in the formula
The method comprises the steps of comparing every two intelligent terminals in a terminal group, and then adding and multiplying the compared difference values
The purpose of the method is to sum up the intelligent terminals in the terminal group to obtain the influence of the sum of the two intelligent terminals after the two intelligent terminals are compared with each other on each intelligent terminal
Is obtained for t0A comprehensive optimization correction of the voltage data of the moment; and normalization is carried out after pairwise comparison is carried out on the intelligent terminals in the terminal group
Comparing the voltage data at the moment; finally obtain t0Comparison values of the comprehensive voltage data at the moment.
Step A3: obtaining an output reminding signal value by combining the first preset value and the second preset value by using a formula (5)
Wherein T represents the output alert signal value; delta U0Representing the first preset value; delta I0Representing said second preset value. Using U (Δ U (t) in the formula0)-ΔU0) And u (Δ I (t)0)-ΔI0) Comparing the comparison value of the voltage data with the first preset value and the comparison value of the current data with the second preset value, thereby quantifying the judgment value when the value is delta U (t) since U () is a step function0)≥ΔU0Time U (Δ U (t)0)-ΔU0)＝1，ΔI(t0)≥ΔI0Time u (Δ I (t)0)-ΔI0) When 1, when Δ U (t)0)＜ΔU0Time U (Δ U (t)0)-ΔU0)＝0，ΔI(t0)＜ΔI0Time u (Δ I (t)0)-ΔI0) 0; using the formula when only one of the voltage data and the current data exceeds a predetermined value
And determining which data exceeds the preset value, wherein the data is reflected on T and is positive or negative of the symbol.
The output reminder value obtained in step a3 may be used to output a corresponding reminder for reminding, which specifically includes,
when T is 0, the comparison value of the voltage data is smaller than a first preset value, and the comparison value of the current data is smaller than a second preset value, and a reminding signal is not output for reminding;
when T is equal to-1, the comparison value of the voltage data is smaller than a first preset value, and the comparison value of the current data is larger than a second preset value, and then a current data reminding signal is output for reminding;
when T is 1, the comparison value of the voltage data is larger than a first preset value, and the comparison value of the current data is smaller than a second preset value, a voltage data reminding signal is output for reminding;
when T is 2, the comparison value of the voltage data is larger than the first preset value, and the comparison value of the current data is larger than the second preset value, and then the current data reminding signal and the voltage data reminding signal are output at the same time for reminding.
And sending the current data reminding signal or the voltage data reminding signal to the rear end.
The beneficial effects of the above technical scheme are: the voltage data of the integrated intelligent terminal and the current data of the integrated intelligent terminal are obtained by the step A1, the purpose is to perform data statistics on log data of all intelligent terminals through a formula so as to optimize and integrate the data, and compared with the step A1, the step A1 is not changed so that the obtained voltage data and current data are more accurate; the comparison value of the comprehensive voltage data is obtained in the step A2, and the voltage data of any two intelligent terminals in the terminal group are subjected to traversing comparison through a formula, so that the obtained value is more real and credible, and the detection capability of the energy consumption monitoring system is improved compared with the detection capability without the step A2; and finally, the output reminding signal value is obtained by utilizing the step A3, and the corresponding reminding signal can be better and automatically controlled to be output for reminding by utilizing the value, so that the automation degree of the overall energy consumption monitoring system based on big data is embodied, and the automation degree of the overall system is higher and more efficient.
An embodiment of the present invention further provides a schematic diagram of a hardware structure of a terminal, where the terminal includes: a processor, memory and computer program; wherein
A memory for storing the computer program, which may also be a flash memory (flash). The computer program is, for example, an application program, a functional module, or the like that implements the above method.
And the processor is used for executing the computer program stored in the memory so as to realize the steps executed by the terminal in the method. Reference may be made in particular to the description relating to the preceding method embodiment.
Alternatively, the memory may be separate or integrated with the processor.
When the memory is a device independent of the processor, the terminal may further include:
a bus for connecting the memory and the processor. The terminal, device, etc. may further comprise a transmitter for transmitting the first type event information generated by the processor to the server.
The present invention also provides a readable storage medium, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the methods provided by the various embodiments described above.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The utility model provides an energy consumption monitoring system based on big data, its characterized in that includes a plurality of intelligent terminal, and wherein every intelligent terminal corresponds an consumer, intelligent terminal includes:
the current monitoring device is used for monitoring the current of the electric equipment at any moment and generating current data;
the voltage monitoring device is used for monitoring the voltage of the electric equipment at any moment and generating voltage data;
and the processing device is respectively connected with the current monitoring device and the voltage monitoring device, and generates log data based on the current data and the voltage data and transmits the log data.
2. The big-data based energy consumption monitoring system according to claim 1,
the intelligent terminal also comprises a communication device, the intelligent terminal is connected with the background server through the communication device, and the log data are sent to the background server through the communication device;
the intelligent terminals are divided into different terminal groups according to different electric equipment corresponding to the intelligent terminals, wherein each terminal group comprises at least one intelligent terminal.
3. The big-data based energy consumption monitoring system according to claim 2,
the current monitoring device is a current sensor;
the voltage monitoring device is a voltage sensor;
the processing device is any one or more of a processor, a controller, an FPGA, a singlechip and an integrated circuit.
4. The big-data based energy consumption monitoring system according to claim 2,
the server acquires log data of all intelligent terminals in any terminal group;
and comparing the voltage data or the current data of any two intelligent terminals, and outputting a reminding signal if the comparison value of the voltage data is greater than a first preset value or the comparison value of the current data is greater than a second preset value.
5. The energy consumption monitoring method based on big data is characterized in that different intelligent terminals are respectively deployed to monitor different electric equipment, and the method comprises the following steps:
monitoring the current of the electric equipment at any time and generating current data;
monitoring the voltage of the electric equipment at any moment and generating voltage data;
and generating log data based on the current data and the voltage data and transmitting the log data.
6. The energy consumption monitoring method according to claim 5,
the intelligent terminals are divided into different terminal groups according to different electric equipment corresponding to the intelligent terminals, wherein each terminal group comprises at least one intelligent terminal.
7. The energy consumption monitoring method according to claim 6,
after the step of generating log data based on the current data and the voltage data and transmitting the log data, the method further comprises the steps of:
acquiring log data of all intelligent terminals in any terminal group;
and comparing the voltage data or the current data of any two intelligent terminals, and outputting a reminding signal to remind if the comparison value of the voltage data is greater than a first preset value or the comparison value of the current data is greater than a second preset value.
8. The energy consumption monitoring method according to claim 7,
further comprising the steps of:
obtaining voltage data U based on formula (1)0(a，t0)，
Wherein U is0(a，t0) Showing t after the integration optimization of the a-th intelligent terminal0Time of dayVoltage data of (a); Δ t represents the approach time; u (a, t) represents voltage data of the intelligent terminal at the t moment in log data of the a-th intelligent terminal;
obtaining current data I based on equation (2)0(a，t0)，
Wherein I0(a，t0) Showing t after the integration optimization of the a-th intelligent terminal0Current data at a time; Δ t represents the approach time; and I (a, t) represents current data of the intelligent terminal at the time t in log data of the a-th intelligent terminal.
9. The energy consumption monitoring method according to claim 8,
traversing, comparing and then comprehensively processing the voltage data of any two intelligent terminals in the terminal group based on a formula (3) to obtain a comparison value of the comprehensive voltage data
Wherein Δ U (t)0) Represents t0Comparing the comprehensive voltage data at the moment; n represents the total number of intelligent terminals in the terminal group; n! Represents a factorial of n; u shape0(i，t0) Showing t after the integration optimization of the ith intelligent terminal0Voltage data of a time;
traversing, comparing and comprehensively processing the current data of any two intelligent terminals in the intelligent terminals by using a formula (4) to obtain a comparison value of the comprehensive current data, thereby improving the detection capability of the energy consumption monitoring system
Wherein Δ I (t)0) Represents t0Comparing the comprehensive current data at the moment; n represents the total number of intelligent terminals in the terminal group; n! Represents a factorial of n; i is0(i，t0) Showing t after the integration optimization of the ith intelligent terminal0Current data at a time;
step A3: obtaining an output reminding signal value by combining the first preset value and the second preset value by using a formula (5)
Wherein T represents the output alert signal value; delta U0Representing the first preset value; delta I0Representing the second preset value;
the output reminder value obtained in step a3 may be used to output a corresponding reminder for reminding, which specifically includes,
when T is 0, the comparison value of the voltage data is smaller than a first preset value, and the comparison value of the current data is smaller than a second preset value, and a reminding signal is not output for reminding;
when T is equal to-1, the comparison value of the voltage data is smaller than a first preset value, and the comparison value of the current data is larger than a second preset value, and then a current data reminding signal is output for reminding;
when T is 1, the comparison value of the voltage data is larger than a first preset value, and the comparison value of the current data is smaller than a second preset value, a voltage data reminding signal is output for reminding;
when T is 2, the comparison value of the voltage data is larger than the first preset value, and the comparison value of the current data is larger than the second preset value, and then the current data reminding signal and the voltage data reminding signal are output at the same time for reminding.
10. The energy consumption monitoring method according to claim 9,
and sending the current data reminding signal or the voltage data reminding signal to the rear end.
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