CN117148006B - PLC cabinet monitoring method and device based on carrier communication - Google Patents

PLC cabinet monitoring method and device based on carrier communication Download PDF

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CN117148006B
CN117148006B CN202311115584.2A CN202311115584A CN117148006B CN 117148006 B CN117148006 B CN 117148006B CN 202311115584 A CN202311115584 A CN 202311115584A CN 117148006 B CN117148006 B CN 117148006B
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CN117148006A (en
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陈广辉
陈昭彰
胡明亮
黄涛
陈鹏
胡志刚
熊斯鹏
于大龙
杨子轩
陈超
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Jiangxi Fangxing Technology Co ltd
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Abstract

The invention discloses a PLC cabinet monitoring method and device based on carrier communication, and relates to the technical field of PLC cabinet monitoring. According to the invention, firstly, the running time and the working state of the appointed PLC cabinet are monitored, the abnormality and the fault can be found in time, secondly, the running coincidence coefficient and the transmission safety index of the appointed PLC cabinet are calculated, the effective and complete transmission of data is facilitated, the reliability and the consistency of the data transmission are improved, the effective and complete transmission of the data is facilitated, the environmental safety coefficient of the appointed PLC cabinet is also analyzed, the maintenance cost and the downtime are reduced, the durability and the reliability of the equipment are improved, and the monitoring effect and the reliability of the PLC cabinet based on carrier communication are facilitated to be improved.

Description

PLC cabinet monitoring method and device based on carrier communication
Technical Field
The invention relates to the technical field of PLC cabinet monitoring, in particular to a PLC cabinet monitoring method and device based on carrier communication.
Background
Along with the development of intellectualization and automation of a power system, a remote monitoring and control technology plays an increasingly important role in a power distribution system, a PLC cabinet is an important component part in the power system and is used for protecting, controlling and monitoring power equipment, a traditional PLC cabinet monitoring method generally needs manual inspection or data transmission by using a wired communication mode, the capability of monitoring the real-time state of the equipment and rapidly positioning faults is limited, and a PLC cabinet based on carrier communication is a communication technology for transmitting data by utilizing a power line.
At present, the prior art has some limitations in the monitoring method for the PLC cabinet, and the specific implementation of the method is as follows: 1. first, current PLC cabinet monitoring methods typically require manual inspection or data transmission using wired communication. The mode needs personnel to go to the scene regularly to check and collect data, and work load is big, inefficiency to need to throw in a large amount of manpowers and resources, cause the not enough of real-time supervision ability, the difficult and difficult problem of fault location of data acquisition.
2. Secondly, in the current PLC cabinet monitoring process, state anomaly analysis is mostly carried out only aiming at the surface defects of the PLC cabinet, detailed in-place analysis is carried out on specific information of the PLC cabinet, for example, the operation information of the PLC cabinet is lacked, so that the dimension of data analysis has singleness, more accurate data support basis cannot be provided for state judgment of the PLC cabinet, the potential anomaly risk existing in the PLC cabinet cannot be found in time, the monitoring efficiency is reduced, and the reliability of data transmission is reduced.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a PLC cabinet monitoring method and device based on carrier communication, which can effectively solve the problems related to the background technology.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the PLC cabinet monitoring method based on carrier communication comprises the following steps of: and monitoring and counting state data of the appointed PLC cabinet, and analyzing the consumption index alpha of the foundation application to which the appointed PLC cabinet belongs.
Secondly, appointing PLC cabinet operation data analysis: and monitoring and analyzing the operation data of the appointed PLC cabinet, and calculating the operation coincidence coefficient χ of the appointed PLC cabinet.
Thirdly, appointing PLC cabinet data transmission analysis: and extracting a data transmission log of the designated PLC cabinet, thereby analyzing the data transmission safety index Pc of the designated PLC cabinet.
Fourth step, appointing PLC cabinet environment analysis: environmental data of the specified PLC cabinet is monitored, thereby analyzing an environmental safety factor ψ of the specified PLC cabinet.
Fifth step, comprehensive data feedback analysis: and comprehensively analyzing the application compliance coefficient of the appointed PLC cabinet, and carrying out feedback prompt on the data of the appointed PLC cabinet.
Further, the operation data comprises equipment operation time length, maintenance times and a data transmission log.
Further, the analysis designates a basic application consumption index to which the PLC cabinet belongs, and the specific process is as follows: setting a plurality of monitoring time points, further counting the power consumption of the appointed PLC cabinet in each monitoring time point, and further calculating the power average power consumption W Flat plate of the appointed PLC, wherein the calculation formula is as follows: Wherein W i represents power consumption of the power supply at the i-th monitoring time point of the designated PLC cabinet, i represents the number of each monitoring time point, i=1, 2, 3.
Extracting the equipment operation time T and maintenance times c Flat plate of the appointed PLC cabinet, and respectively comparing the equipment operation time T and maintenance times c Flat plate with the set proper average power consumption, rated operation time and reference allowable maintenance times of the power supply of the appointed PLC cabinet, thereby analyzing the basic application consumption fixed index alpha of the appointed PLC cabinet, wherein the calculation formula is as follows: Wherein W ma、Tmax and c respectively represent the proper average power consumption, rated operation duration and reference allowable maintenance times of the power supply of the specified PLC cabinet, and epsilon 1、ε2 and epsilon 3 respectively represent the set weight factors corresponding to the average power consumption, the equipment operation duration and the maintenance times of the power supply.
Further, the monitoring and analyzing of the operation data of the appointed PLC cabinet comprises the following specific processes: and counting the signal output intensity of the appointed PLC cabinet in each monitoring time point, constructing a fluctuation line graph of the signal output intensity of the appointed PLC cabinet according to the signal output intensity, and extracting the line length of the fluctuation line graph.
And according to the reference fluctuation line graph of the signal output intensity stored in the cloud database, and carrying out overlapping comparison with the fluctuation line graph of the signal output intensity of the designated PLC cabinet in the signal monitoring period, thereby extracting the overlapped fluctuation line length L 0.
Extracting the set signal output reference fluctuation line length L' of the designated PLC cabinet and the designated reference signal output intensity of the designated PLC cabinet, and calculating the designated signal output intensity fluctuation stable index beta of the designated PLC cabinet, wherein the calculation formula is as follows: Wherein e represents a natural constant, qp i and Δqp i represent signal output intensities to which a specified PLC cabinet belongs and reference signal output intensities to which the specified PLC cabinet belongs in an ith monitoring time point, and Φ 1 represents a correction value corresponding to the set signal output intensity to which the specified PLC cabinet belongs.
The background noise intensity of the appointed PLC cabinet in each monitoring time point is counted and compared with the proper signal-to-noise ratio of the appointed PLC cabinet stored in the cloud database, so that the signal-to-noise ratio stability index E of the appointed PLC cabinet is calculated, and the calculation formula is as follows:
Wherein DeltaXZ represents the proper signal-to-noise ratio of the appointed PLC cabinet, bp i represents the background noise intensity of the appointed PLC cabinet in the ith monitoring time point, and phi 2 represents the set correction factor of the signal-to-noise ratio of the appointed PLC cabinet.
Calculating carrier communication frequency HZ i and bandwidth DZ i of the appointed PLC cabinet in each monitoring time point, and respectively calculating the appointed PLC cabinet carrier communication performance stability index Y with the reference carrier communication frequency and the reference bandwidth of the appointed PLC cabinet stored in the cloud database, wherein the calculation formula is as follows: Wherein HZ 'and DZ' represent the reference carrier communication frequency and the reference bandwidth of the designated PLC cabinet, and τ 1 and τ 2 represent the set correction factors corresponding to the carrier communication frequency and the bandwidth of the designated PLC cabinet, respectively.
Further, the calculation specifies the operational compliance coefficients of the PLC cabinet, which has the process of: monitoring and extracting the transmission rate of the carrier signal to which the specified PLC cabinet belongs and the adaptive transmission rate of the carrier signal stored in the cloud database, so as to calculate the operation conformity coefficient χ of the specified PLC cabinet, wherein the calculation formula is as follows: Wherein Q pl、Qplc' respectively represents the transmission rate and the adaptive transmission rate of the carrier signal to which the specified PLC cabinet belongs,/> AndAnd respectively representing the set stability index of fluctuation of the output intensity of the signal, the stability index of the carrier communication performance, the stability index of the signal to noise ratio and the correction factors corresponding to the adaptive transmission rate of the carrier signal of the designated PLC cabinet.
Further, the analysis specifies the safety index of the data transmission of the PLC cabinet, and the specific process is as follows: extracting a data packet loss rate Lb, a transmission delay time Lc, a transmission error number Ln and a retransmission number Cv in a data transmission log of a designated PLC cabinet, and comparing the data packet loss rate Lb, the transmission delay time Lc, the transmission error number Ln and the retransmission number Cv with a data packet allowable loss rate, a maximum allowable transmission delay time, an allowable transmission error number and an allowable retransmission number of the designated PLC cabinet stored in a cloud database respectively, thereby analyzing a data transmission security index Pc of the designated PLC cabinet, wherein a calculation formula is as follows: Wherein Lb ', lc', ln ', and Cv' respectively represent the packet allowable loss rate, the maximum allowable transmission delay time, the number of allowable transmission errors, and the number of allowable retransmissions, and λ 1、λ2、λ3 and λ 4 respectively represent the set weighting factors corresponding to the packet loss rate, the transmission delay time, the number of transmission errors, and the number of retransmissions.
Further, the analysis designates the environmental safety coefficient of the PLC cabinet, and the specific process is as follows: the environmental quality data of the appointed PLC cabinet in each monitoring time point are monitored, wherein the environmental quality data comprise temperature W i, humidity T i and dust concentration H i, and are respectively compared with standard temperature, standard humidity and allowable dust concentration of the operation environment of the appointed PLC cabinet stored in a cloud database, and accordingly the environmental safety coefficient psi of the appointed PLC cabinet is analyzed, and the specific calculation formula is as follows: Wherein W 0、T0 and H 0 represent standard temperature, standard humidity, and allowable dust concentration, respectively, and θ 1、θ2 and θ 3 represent set influence correction factors corresponding to the temperature, humidity, and dust concentration, respectively.
Further, the comprehensive analysis designates the application compliance coefficient of the PLC cabinet, and the specific process is as follows: based on the basic application consumption index of the appointed PLC cabinet, the operation coincidence coefficient of the appointed PLC cabinet, the data transmission safety index of the appointed PLC cabinet and the environmental safety coefficient of the appointed PLC cabinet, the application compliance coefficient of the appointed PLC cabinet is comprehensively analyzed, and the calculation formula is as follows:
ζ=arctan (α×μ 1+χ*μ2+Pc*μ3+ψ*μ4), where μ 1、μ2、μ3 and μ 4 are respectively represented as a set weighting factor corresponding to the base application consumption index, the operation compliance coefficient, the data transmission security index, and the environmental security coefficient to which the designated PLC cabinet belongs, and μ 2341.
Further, the feedback prompt is carried out on the data of the appointed PLC cabinet, and the specific process is as follows: and comparing the application compliance coefficient of the appointed PLC cabinet with the compliance range of the set safety requirement compliance coefficient, and when the application compliance coefficient of the appointed PLC cabinet exceeds the compliance range of the set safety requirement compliance coefficient, carrying out feedback prompt on the data of the appointed PLC cabinet.
The second aspect of the present invention provides a PLC cabinet monitoring device based on carrier communication, including: a processor, a memory and a network interface connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when running, retrieves the computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method described above.
The invention has the following beneficial effects:
(1) The invention can grasp the service condition of the equipment in real time by monitoring the operation time and the working state of the appointed PLC cabinet, discover abnormality and faults in time, take necessary maintenance measures, save energy cost, improve the operation time and the reliability of the equipment, improve the maintenance efficiency and realize the effect of remote maintenance of faults.
(2) According to the invention, the operation coincidence coefficient of the appointed PLC cabinet is calculated, the signal output intensity fluctuation state and the transmission rate of the PLC cabinet are analyzed, so that the defect that the monitoring of the PLC cabinet is more focused on the abnormal analysis of the state of the surface defect of the PLC cabinet at present is overcome, the reliability and the consistency of data transmission are improved, and the reliability and the stability of a system are improved.
(3) According to the invention, the abnormal condition of the communication link or equipment can be identified by analyzing and specifying the data transmission safety index of the PLC cabinet, so that the possibility of error in data transmission is reduced, the effective and complete transmission of data is facilitated, the real-time performance, accuracy and reliability of monitoring are improved, and the monitoring effect of the PLC cabinet is optimized.
(4) According to the invention, the environmental safety coefficient of the specified PLC cabinet is analyzed, the potential risk and the safety hole can be identified by analyzing the environmental safety coefficient, and corresponding measures are taken for feedback, so that the fault rate is reduced, the equipment is prevented from being damaged by bad environmental factors, the reliability and the stability of the PLC cabinet are improved, the damage and the maintenance requirement of the equipment are reduced, the maintenance cost and the downtime are reduced, the durability and the reliability of the equipment are improved, and the effect and the reliability of monitoring the PLC cabinet based on carrier communication are improved.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
FIG. 1 is a flow chart of the steps of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "open," "upper," "lower," "thickness," "top," "middle," "length," "inner," "peripheral," and the like indicate orientation or positional relationships, merely for convenience in describing the present invention and to simplify the description, and do not indicate or imply that the components or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present invention.
Referring to fig. 1, the embodiment of the invention provides a technical scheme: a PLC cabinet monitoring method based on carrier communication comprises the following steps of: and monitoring and counting state data of the appointed PLC cabinet, and analyzing the consumption index alpha of the foundation application to which the appointed PLC cabinet belongs.
Secondly, appointing PLC cabinet operation data analysis: and monitoring and analyzing the operation information of the appointed PLC cabinet, and calculating the operation coincidence coefficient χ of the appointed PLC cabinet.
Thirdly, appointing PLC cabinet data transmission analysis: and extracting a data transmission log of the designated PLC cabinet, thereby analyzing the data transmission safety index Pc of the designated PLC cabinet.
Fourth step, appointing PLC cabinet environment analysis: environmental data of the specified PLC cabinet is monitored, thereby analyzing an environmental safety factor ψ of the specified PLC cabinet.
Fifth step, comprehensive data feedback analysis: and comprehensively analyzing the application compliance coefficient of the appointed PLC cabinet, and carrying out feedback prompt on the data of the appointed PLC cabinet.
Specifically, the operation data includes an equipment operation time length, a maintenance number, and a data transmission log.
Specifically, the basic application consumption index of the specified PLC cabinet is analyzed, and the specific process is as follows: setting a plurality of monitoring time points, further counting the power consumption of the appointed PLC cabinet in each monitoring time point, and further calculating the power average power consumption W Flat plate of the appointed PLC, wherein the calculation formula is as follows: Wherein W i represents power consumption of the power supply at the i-th monitoring time point of the designated PLC cabinet, i represents the number of each monitoring time point, i=1, 2, 3.
The equipment operation time T and maintenance times c Flat plate of the specified PLC cabinet are extracted and respectively compared with the set power supply suitable average power consumption, the maximum allowable equipment operation time and the maximum allowable maintenance times of the specified PLC cabinet, so that the basic application consumption fixed index alpha of the specified PLC cabinet is analyzed, and the calculation formula is as follows: Wherein W ma、Tmax and c respectively represent the proper average power consumption of the power supply of the specified PLC cabinet, the allowable maximum equipment operation duration and the allowable maximum maintenance times, and epsilon 1、ε2 and epsilon 3 respectively represent the set weight factors corresponding to the average power consumption of the power supply, the equipment operation duration and the maintenance times.
In the embodiment, the consumption index of the foundation application of the appointed PLC cabinet is analyzed, the service condition of the equipment can be mastered in real time by monitoring the operation time and the working state of the appointed PLC cabinet, the abnormality and the fault can be found out in time, necessary maintenance measures are taken, the energy cost is saved, the operation time and the reliability of the equipment are improved, the maintenance efficiency is improved, and the effect of remote maintenance of the fault is realized.
Specifically, the operation data of the specified PLC cabinet is monitored and analyzed, and the specific process is as follows: and counting the signal output intensity of the appointed PLC cabinet in each monitoring time point, constructing a fluctuation line graph of the signal output intensity of the appointed PLC cabinet according to the signal output intensity, and extracting the line length of the fluctuation line graph.
And according to the reference fluctuation line graph of the signal output intensity stored in the cloud database, and carrying out overlapping comparison with the fluctuation line graph of the signal output intensity of the designated PLC cabinet in the signal monitoring period, thereby extracting the overlapped fluctuation line length L 0.
Extracting the set signal output reference fluctuation line length L' of the designated PLC cabinet and the designated reference signal output intensity of the designated PLC cabinet, and calculating the designated signal output intensity fluctuation stable index beta of the designated PLC cabinet, wherein the calculation formula is as follows: Wherein e represents a natural constant, qp i and Δqp i represent signal output intensities to which a specified PLC cabinet belongs and reference signal output intensities to which the specified PLC cabinet belongs in an ith monitoring time point, and Φ 1 represents a correction value corresponding to the set signal output intensity to which the specified PLC cabinet belongs.
The background noise intensity of the appointed PLC cabinet in each monitoring time point is counted and compared with the proper signal-to-noise ratio of the appointed PLC cabinet stored in the cloud database, so that the signal-to-noise ratio stability index E of the appointed PLC cabinet is calculated, and the calculation formula is as follows:
Wherein DeltaXZ represents the proper signal-to-noise ratio of the appointed PLC cabinet, bp i represents the background noise intensity of the appointed PLC cabinet in the ith monitoring time point, and phi 2 represents the set correction factor of the signal-to-noise ratio of the appointed PLC cabinet.
Calculating carrier communication frequency HZ i and bandwidth DZ i of the appointed PLC cabinet in each monitoring time point, and respectively calculating the appointed PLC cabinet carrier communication performance stability index Y with the reference carrier communication frequency and the reference bandwidth of the appointed PLC cabinet stored in the cloud database, wherein the calculation formula is as follows:
Wherein HZ 'and DZ' represent the reference carrier communication frequency and the reference bandwidth to which the designated PLC cabinet belongs, and τ 1 and τ 2 represent the set correction factors corresponding to the carrier communication frequency and the bandwidth to which the designated PLC cabinet belongs, respectively.
In this embodiment, the signal output intensity, background noise intensity and transmission rate can be detected using a carrier communication test instrument, and the carrier communication frequency and bandwidth can be detected using a spectrum analyzer.
In this embodiment, through analyzing carrier communication frequency, bandwidth, signal to noise ratio and signal output intensity that the PLC cabinet belongs to, help providing stable, high-efficient, anti-interference communication environment to the PLC cabinet, further improved the communication performance and the reliability of PLC cabinet, be favorable to improving the monitoring and the management efficiency of PLC cabinet, strengthen real-time supervision and the operation to the PLC cabinet, improve electric power system's security and reliability.
Specifically, the operational compliance coefficients of a given PLC cabinet are calculated, having the process of: monitoring and extracting the transmission rate of the carrier signal to which the specified PLC cabinet belongs and the adaptive transmission rate of the carrier signal stored in the cloud database, so as to calculate the operation conformity coefficient χ of the specified PLC cabinet, wherein the calculation formula is as follows: wherein Q plc、Qplc' respectively represents the transmission rate and the adaptive transmission rate of the carrier signal to which the specified PLC cabinet belongs,/> And/>And respectively representing the set stability index of fluctuation of the output intensity of the signal, the stability index of the carrier communication performance, the stability index of the signal to noise ratio and the correction factors corresponding to the adaptive transmission rate of the carrier signal of the designated PLC cabinet.
In this embodiment, the operation data of the specified PLC cabinet is monitored and analyzed, the signal output intensity fluctuation state and the transmission rate of the specified PLC cabinet are analyzed, so that the defect that the monitoring of the PLC cabinet is more focused on the abnormal analysis of the surface defect of the PLC cabinet at present is overcome, the reliability and the consistency of the data transmission are improved, and the reliability and the stability of the system are improved.
Specifically, the data transmission safety index of the specified PLC cabinet is analyzed and specified, and the specific process is as follows: extracting a data packet loss rate Lb, a transmission delay time Lc, a transmission error number Ln and a retransmission number Cv in a data transmission log of a designated PLC cabinet, and comparing the data packet loss rate Lb, the transmission delay time Lc, the transmission error number Ln and the retransmission number Cv with a data packet allowable loss rate, a maximum allowable transmission delay time, an allowable transmission error number and an allowable retransmission number of the designated PLC cabinet stored in a cloud database respectively, thereby analyzing a data transmission security index Pc of the designated PLC cabinet, wherein a calculation formula is as follows: Wherein Lb ', lc', ln ', and Cv' respectively represent the packet allowable loss rate, the maximum allowable transmission delay time, the number of allowable transmission errors, and the number of allowable retransmissions, and λ 1、λ2、λ3 and λ 4 respectively represent the set weighting factors corresponding to the packet loss rate, the transmission delay time, the number of transmission errors, and the number of retransmissions. In this embodiment, the temperature and humidity sensor and the dust concentration sensor can be used to detect the temperature and humidity to which the PLC cabinet belongs and the dust concentration.
In the embodiment, the data transmission safety index of the specified PLC cabinet is analyzed, the abnormal condition of a communication link or equipment can be identified, the possibility of error in data transmission is reduced, the effective and complete transmission of data is facilitated, the real-time performance, accuracy and reliability of monitoring are improved, and therefore the monitoring effect of the PLC cabinet is optimized.
Specifically, the environmental safety coefficient of the appointed PLC cabinet is analyzed, and the specific process is as follows: the environmental quality data of the appointed PLC cabinet in each monitoring time point are monitored, wherein the environmental quality data comprise temperature W i, humidity T i and dust concentration H i, and are respectively compared with standard temperature, standard humidity and allowable dust concentration of the operation environment of the appointed PLC cabinet stored in a cloud database, and accordingly the environmental safety coefficient psi of the appointed PLC cabinet is analyzed, and the specific calculation formula is as follows: Wherein W 0、T0 and H 0 represent standard temperature, standard humidity, and allowable dust concentration, respectively, and θ 1、θ2 and θ 3 represent set influence correction factors corresponding to the temperature, humidity, and dust concentration, respectively.
In this embodiment, through analyzing the environmental safety coefficient of the appointed PLC cabinet, through analyzing the environmental safety coefficient, potential risks and security holes can be identified, and corresponding measures are taken to feed back, which is helpful for reducing the failure rate and avoiding the equipment from being damaged by bad environmental factors.
Specifically, the comprehensive analysis designates the application compliance coefficient of the PLC cabinet, and the specific process is as follows: based on the basic application consumption index of the appointed PLC cabinet, the operation coincidence coefficient of the appointed PLC cabinet, the data transmission safety index of the appointed PLC cabinet and the environmental safety coefficient of the appointed PLC cabinet, the application compliance coefficient of the appointed PLC cabinet is comprehensively analyzed, and the calculation formula is as follows:
ζ=arctan (α×μ 1+χ*μ2+Pc*μ3+ψ*μ4), where μ 1、μ2、μ3 and μ 4 are respectively represented as a set weighting factor corresponding to the base application consumption index, the operation compliance coefficient, the data transmission security index, and the environmental security coefficient to which the designated PLC cabinet belongs, and μ 2341.
In this embodiment, the application compliance coefficient of the specified PLC cabinet is analyzed, and the state of the specified PLC cabinet is analyzed from the data of multiple dimensions, so that the reliability and stability of the PLC cabinet are improved, the maintenance cost and the downtime are reduced, the durability and the reliability of the device are improved, and the effect and the reliability of monitoring the PLC cabinet based on carrier communication are improved.
Specifically, feedback prompt is carried out on the data of the appointed PLC cabinet, and the specific process is as follows: and comparing the application compliance coefficient of the appointed PLC cabinet with the compliance range of the set safety requirement compliance coefficient, and when the application compliance coefficient of the appointed PLC cabinet exceeds the compliance range of the set safety requirement compliance coefficient, carrying out feedback prompt on the data of the appointed PLC cabinet.
In this embodiment, when the application compliance coefficient of the designated PLC cabinet exceeds the compliance range of the set safety requirement compliance coefficient, the base application consumption index of the designated PLC cabinet is compared with the compliance range of the base application consumption index of the set PLC cabinet, and when the application compliance coefficient of the designated PLC cabinet exceeds the compliance range of the base application consumption index of the set PLC cabinet, the feedback prompt is performed on the application of the designated PLC cabinet.
In this embodiment, similarly, when the application compliance coefficient of the specified PLC cabinet exceeds the compliance range of the set safety requirement compliance coefficient, the operation compliance coefficient of the specified PLC cabinet is compared with the operation compliance coefficient compliance range of the set PLC cabinet, and when the operation compliance coefficient of the specified PLC cabinet exceeds the operation compliance coefficient compliance range of the set PLC cabinet, the operation condition of the specified PLC cabinet is prompted in a feedback manner.
In this embodiment, similarly, when the application compliance coefficient of the designated PLC cabinet exceeds the compliance range of the set safety requirement compliance coefficient, the data transmission safety index of the designated PLC cabinet is compared with the compliance range of the data transmission safety index of the set PLC cabinet, and when the data transmission safety index of the designated PLC cabinet exceeds the compliance range of the data transmission safety index of the set PLC cabinet, the data transmission condition of the designated PLC cabinet is prompted in a feedback manner.
In this embodiment, similarly, when the application compliance coefficient of the specified PLC cabinet exceeds the compliance range of the set safety requirement compliance coefficient, then the environmental safety coefficient of the specified PLC cabinet is compared with the compliance range of the set environmental safety coefficient of the PLC cabinet, and when the environmental safety coefficient of the specified PLC cabinet exceeds the compliance range of the set environmental safety coefficient of the PLC cabinet, the environmental condition of the specified PLC cabinet is prompted in a feedback manner.
The second aspect of the present invention provides a PLC cabinet monitoring device based on carrier communication, including: a processor, a memory and a network interface connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when running, retrieves the computer program from the non-volatile memory via the network interface and runs the computer program via the memory to perform the method described above.
It is noted that relational terms such as first and second, and the like are 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. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or PLC cabinet 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 PLC cabinet.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.

Claims (9)

1. The PLC cabinet monitoring method based on carrier communication is characterized by comprising the following steps of:
Step one, appointing PLC cabinet data statistical analysis: monitoring and counting state data of the appointed PLC cabinet, and analyzing a basic application consumption index alpha to which the appointed PLC cabinet belongs;
secondly, appointing PLC cabinet operation data analysis: monitoring and analyzing operation data of the appointed PLC cabinet, and calculating an operation coincidence coefficient χ of the appointed PLC cabinet;
Thirdly, appointing PLC cabinet data transmission analysis: extracting a data transmission log of the designated PLC cabinet, thereby analyzing a data transmission safety index Pc of the designated PLC cabinet;
Fourth step, appointing PLC cabinet environment analysis: monitoring environmental data of the specified PLC cabinet, thereby analyzing an environmental safety coefficient psi of the specified PLC cabinet;
Fifth step, comprehensive data feedback analysis: comprehensively analyzing application compliance coefficients of the appointed PLC cabinets, and carrying out feedback prompt on data of the appointed PLC cabinets;
The comprehensive analysis appoints the application compliance coefficient of the PLC cabinet, and the specific process is as follows:
based on the basic application consumption index of the appointed PLC cabinet, the operation coincidence coefficient of the appointed PLC cabinet, the data transmission safety index of the appointed PLC cabinet and the environmental safety coefficient of the appointed PLC cabinet, the application compliance coefficient of the appointed PLC cabinet is comprehensively analyzed, and the calculation formula is as follows:
ζ=arctan(α*μ1+χ*μ2+Pc*μ3+ψ*μ4)
Mu 1、μ2、μ3 and mu 4 are respectively expressed as a set weight factor corresponding to a basic application consumption constant index, an operation coincidence coefficient, a data transmission safety index and an environment safety coefficient of the designated PLC cabinet, and mu 2341.
2. The PLC cabinet monitoring method based on carrier communication according to claim 1, wherein: the operation data comprises equipment operation time length, maintenance times and a data transmission log.
3. The PLC cabinet monitoring method based on carrier communication according to claim 2, wherein: the analysis designates a basic application consumption index to which the PLC cabinet belongs, and the specific process is as follows:
Setting a plurality of monitoring time points, further counting the power consumption of the appointed PLC cabinet in each monitoring time point, and further calculating the power average power consumption W Flat plate of the appointed PLC, wherein the calculation formula is as follows: wherein W i represents power consumption of a power supply designating an i-th monitoring time point of the PLC cabinet, i represents a number of each monitoring time point, i=1, 2,3,..;
Extracting the equipment operation time T and maintenance times c Flat plate of the appointed PLC cabinet, and respectively comparing the equipment operation time T and maintenance times c Flat plate with the set proper average power consumption, rated operation time and reference allowable maintenance times of the power supply of the appointed PLC cabinet, thereby analyzing the basic application consumption fixed index alpha of the appointed PLC cabinet, wherein the calculation formula is as follows:
Wherein W max、Tmax and c respectively represent the proper average power consumption, rated operation duration and reference allowable maintenance times of the power supply of the specified PLC cabinet, and epsilon 1、ε2 and epsilon 3 respectively represent the set weight factors corresponding to the average power consumption, the equipment operation duration and the maintenance times of the power supply.
4. The PLC cabinet monitoring method based on carrier communication according to claim 1, wherein: the monitoring and analyzing of the operation data of the appointed PLC cabinet comprises the following specific processes:
Counting the signal output intensity of the appointed PLC cabinet in each monitoring time point, constructing a fluctuation line graph of the signal output intensity of the appointed PLC cabinet according to the signal output intensity, and extracting the line length of the fluctuation line graph;
According to the reference fluctuation line graph of the signal output intensity stored in the cloud database, and carrying out overlapping comparison with the fluctuation line graph of the signal output intensity of the appointed PLC cabinet in the signal monitoring period, thereby extracting the overlapped fluctuation line length L 0;
Extracting the set signal output reference fluctuation line length L' of the designated PLC cabinet and the designated reference signal output intensity of the designated PLC cabinet, and calculating the designated signal output intensity fluctuation stable index beta of the designated PLC cabinet, wherein the calculation formula is as follows: Wherein e represents a natural constant, qp i and Δqp i represent the signal output intensity to which the specified PLC cabinet belongs and the reference signal output intensity to which the specified PLC cabinet belongs in the ith monitoring time point, and phi 1 represents a correction value corresponding to the set signal output intensity to which the specified PLC cabinet belongs;
The background noise intensity of the appointed PLC cabinet in each monitoring time point is counted and compared with the proper signal to noise ratio of the appointed PLC cabinet stored in the cloud database, so that the signal to noise ratio stabilizing index (E) of the appointed PLC cabinet is calculated, and the calculation formula is as follows: Wherein DeltaXZ represents the proper signal-to-noise ratio of the appointed PLC cabinet, bp i represents the background noise intensity of the appointed PLC cabinet in the ith monitoring time point, phi 2 represents the set correction factor of the signal-to-noise ratio of the appointed PLC cabinet;
Calculating carrier communication frequency HZ i and bandwidth DZ i of the appointed PLC cabinet in each monitoring time point, and respectively calculating the appointed PLC cabinet carrier communication performance stability index Y with the reference carrier communication frequency and the reference bandwidth of the appointed PLC cabinet stored in the cloud database, wherein the calculation formula is as follows:
Wherein HZ 'and DZ' represent the reference carrier communication frequency and the reference bandwidth of the designated PLC cabinet, and τ 1 and τ 2 represent the set correction factors corresponding to the carrier communication frequency and the bandwidth of the designated PLC cabinet, respectively.
5. The PLC cabinet monitoring method based on carrier communication of claim 4, wherein: the operation coincidence coefficient of the appointed PLC cabinet is calculated, and the operation coincidence coefficient comprises the following steps:
Monitoring and extracting the transmission rate of the carrier signal to which the specified PLC cabinet belongs and the adaptive transmission rate of the carrier signal stored in the cloud database, so as to calculate the operation conformity coefficient χ of the specified PLC cabinet, wherein the calculation formula is as follows: Wherein the method comprises the steps of
Q plc、Qplc' represents the transmission rate and the adaptation transmission rate of the carrier signal to which the designated PLC cabinet belongs,And/>And respectively representing the set stability index of fluctuation of the output intensity of the signal, the stability index of the carrier communication performance, the stability index of the signal to noise ratio and the correction factors corresponding to the adaptive transmission rate of the carrier signal of the designated PLC cabinet.
6. The PLC cabinet monitoring method based on carrier communication according to claim 2, wherein: the analysis appoints the PLC cabinet data transmission safety index, and the specific process is as follows:
Extracting a data packet loss rate Lb, a transmission delay time Lc, a transmission error number Ln and a retransmission number Cv in a data transmission log of a designated PLC cabinet, and comparing the data packet loss rate Lb, the transmission delay time Lc, the transmission error number Ln and the retransmission number Cv with a data packet allowable loss rate, a maximum allowable transmission delay time, an allowable transmission error number and an allowable retransmission number of the designated PLC cabinet stored in a cloud database respectively, thereby analyzing a data transmission security index Pc of the designated PLC cabinet, wherein a calculation formula is as follows: Wherein Lb ', lc', ln ', and Cv' respectively represent the packet allowable loss rate, the maximum allowable transmission delay time, the number of allowable transmission errors, and the number of allowable retransmissions, and λ 1、λ2、λ3 and λ 4 respectively represent the set weighting factors corresponding to the packet loss rate, the transmission delay time, the number of transmission errors, and the number of retransmissions.
7. The PLC cabinet monitoring method based on carrier communication according to claim 1, wherein: the analysis designates the environmental safety coefficient of the PLC cabinet, and the specific process is as follows:
The environmental quality data of the appointed PLC cabinet in each monitoring time point are monitored, wherein the environmental quality data comprise temperature W i, humidity T i and dust concentration H i, and are respectively compared with standard temperature, standard humidity and allowable dust concentration of the operation environment of the appointed PLC cabinet stored in a cloud database, and accordingly the environmental safety coefficient psi of the appointed PLC cabinet is analyzed, and the specific calculation formula is as follows: Wherein W 0、T0 and H 0 represent standard temperature, standard humidity, and allowable dust concentration, respectively, and θ 1、θ2 and θ 3 represent set influence correction factors corresponding to the temperature, humidity, and dust concentration, respectively.
8. The PLC cabinet monitoring method based on carrier communication according to claim 1, wherein: the specific process of the feedback prompt for the data of the appointed PLC cabinet is as follows:
And comparing the application compliance coefficient of the appointed PLC cabinet with the compliance range of the set safety requirement compliance coefficient, and when the application compliance coefficient of the appointed PLC cabinet exceeds the compliance range of the set safety requirement compliance coefficient, carrying out feedback prompt on the data of the appointed PLC cabinet.
9. PLC cabinet monitoring devices based on carrier communication, its characterized in that: comprising the following steps: a processor, a memory and a network interface connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when running, retrieving a computer program from the non-volatile memory via the network interface and running the computer program via the memory to perform the method of any of the preceding claims 1-8.
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