CN112184090B - Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor - Google Patents

Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor Download PDF

Info

Publication number
CN112184090B
CN112184090B CN202011371320.XA CN202011371320A CN112184090B CN 112184090 B CN112184090 B CN 112184090B CN 202011371320 A CN202011371320 A CN 202011371320A CN 112184090 B CN112184090 B CN 112184090B
Authority
CN
China
Prior art keywords
characteristic data
pollution
equipment
utilization characteristic
treatment equipment
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011371320.XA
Other languages
Chinese (zh)
Other versions
CN112184090A (en
Inventor
梁炳基
文享龙
蔡高琰
陈迪
陈声荣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hodi Technologies Co ltd
Original Assignee
Hodi Technologies Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hodi Technologies Co ltd filed Critical Hodi Technologies Co ltd
Priority to CN202011371320.XA priority Critical patent/CN112184090B/en
Publication of CN112184090A publication Critical patent/CN112184090A/en
Application granted granted Critical
Publication of CN112184090B publication Critical patent/CN112184090B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Abstract

The invention provides a standard electricity utilization characteristic library establishing method, an environment-friendly monitoring method, a system and a monitor, wherein electricity utilization characteristic models of pollution production equipment and pollution treatment equipment are established by acquiring electricity utilization characteristic data of the pollution production equipment and the pollution treatment equipment of a monitored object, and the pollution production equipment and the pollution treatment equipment and the working states thereof are accurately identified through basic electricity utilization characteristics and advanced electricity utilization characteristics on-line monitoring and a similarity threshold value judging algorithm in the working process; the monitoring failure caused by the fact that the false equipment is connected into the falsely-acting pollution control equipment to work can be effectively avoided.

Description

Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor
Technical Field
The invention relates to the technical field of environmental protection monitoring, in particular to a standard electricity utilization feature library establishing method, an environmental protection monitoring method, a system and a monitor.
Background
Along with the implementation of national environmental protection policies and the efforts of environmental protection law enforcement departments, production enterprises producing polluted gas in various production processes install corresponding waste gas pollution treatment facilities according to the requirements of the environmental protection departments to treat the produced waste gas, and discharge the waste gas after reaching the standard so as to ensure that the urban air is not polluted.
However, the waste gas treatment facilities need to consume a large amount of electricity in the working process, and a large burden is brought to the production and operation of enterprises. Therefore, when some enterprises produce, the treatment facilities are not opened according to the regulations to treat the waste gas, so that the phenomenon of stealing and discharging exists, and the air quality is influenced. This case mainly includes the following three cases:
1. the waste gas treatment facilities are not started according to requirements while the waste gas is produced in the production;
2. the sewage producing equipment is used as a treatment facility for power utilization to deceive the environment-friendly monitoring system;
3. the production is stopped and the production is limited under the condition of severe air.
Because the production enterprises are large in quantity and wide in distribution, and the number of law enforcement personnel of the environmental protection management department of the government is small, the supervision and inspection of the production condition of each enterprise and the operation condition of the waste gas treatment facility cannot be carried out, and the environmental protection supervision and inspection work pressure is huge. In order to solve the problem, technicians in the current environmental protection industry develop various waste gas treatment online monitoring systems. These exhaust-gas treatment's on-line monitoring system all need install a large amount of intelligent ammeter and exhaust-gas test analytical equipment and carry out real-time supervision and real-time analysis to judge whether up to standard the waste gas that the enterprise was dispatched. The scheme has the advantages of high installation cost, high operation and maintenance cost, incapability of being installed and used in a large area, and is particularly not suitable for monitoring small and medium-scale pollution discharge enterprises.
The intelligent electric meter is also proposed to monitor the electricity consumption of the pollution discharge enterprises, for example, the patent application with the application number of 201910685676.1 discloses a linkage system and an application method of the electricity consumption and the exhaust emission of the exhaust gas purification equipment, and provides a monitoring method which uses the ratio of the electricity consumption of the environmental protection facility to the total electricity consumption in production and associates the ratio with the exhaust on-line monitoring and exhausting amount of the exhaust gas in the same time period in a memory; for another example, patent application No. 202010314310.6 discloses a method for matching and processing data of power consumption information of an enterprise related to pollution, which includes extracting power consumption data of the enterprise from a unified interface platform of a power consumption information acquisition system, and comparing the data of frozen power consumption, power and current at an extraction time interval to judge whether pollution treatment equipment is started and works normally.
Compared with the traditional online monitoring methods, the two methods can effectively reduce the cost, but the methods have the problems of low data acquisition density and untimely data, and the traditional power consumption, power consumption power or current is only used for identifying whether the pollution control equipment works normally, so that the power consumption equipment can not be judged to be the pollution control equipment. If other electric equipment is connected to the monitoring rear end of the pollution control equipment in the production process of an enterprise and is matched with corresponding power, the monitoring equipment can be easily deceived. Therefore, only by such a monitoring system, when pollution can not be found completely, the treatment equipment has or does not work normally, the actual monitoring effect is not good, and the supervision requirements of environmental protection departments can not be met.
Disclosure of Invention
In view of the defects of the prior art, the embodiment of the application aims to provide a standard electricity utilization feature library establishing method, an environment-friendly monitoring system and a monitor, which are beneficial to effectively monitoring whether pollution control equipment of an enterprise works normally in a production process.
In a first aspect, an embodiment of the present application provides a method for establishing a standard electricity usage feature library, including the steps of:
s1, collecting power utilization characteristic data of sewage production equipment and sewage treatment equipment in different working modes; the power utilization characteristic data comprises basic power utilization characteristic data and advanced power utilization characteristic data; the basic electricity utilization characteristic data comprises at least one of electricity consumption, power, current and voltage; the advanced power utilization characteristic data comprises at least one of starting current pulse content, active power and current distortion rate;
s2, preprocessing the power utilization characteristic data of the pollution treatment equipment to obtain a characteristic set;
s3, normalizing each electricity utilization characteristic data in the characteristic set;
and S4, storing the feature set subjected to normalization processing into a standard electricity utilization feature library.
In a second aspect, an embodiment of the present application provides an environmental protection monitoring method, including:
A1. acquiring power utilization characteristic data of the pollution production equipment and the pollution treatment equipment of the monitored object; the power utilization characteristic data comprises basic power utilization characteristic data and advanced power utilization characteristic data; the basic electricity utilization characteristic data comprises at least one of electricity consumption, power, current and voltage; the advanced power utilization characteristic data comprises at least one of starting current pulse content, active power and current distortion rate;
A2. judging the working modes of the sewage production equipment and the sewage treatment equipment according to the power utilization characteristic data;
A3. inquiring in a standard electricity utilization characteristic database according to the working modes of the pollution production equipment and the pollution treatment equipment to obtain corresponding standard electricity utilization characteristic data of the pollution treatment equipment; the standard electricity utilization characteristic library is obtained by adopting the standard electricity utilization characteristic library establishing method;
A4. carrying out normalization processing on the electricity utilization characteristic data of the pollution treatment equipment;
A5. calculating the overall similarity of the normalized power utilization characteristic data of the pollution treatment equipment and the standard power utilization characteristic data, and comparing the overall similarity with a preset similarity judgment value to judge whether the pollution treatment equipment works normally; and the overall similarity is obtained by weighted calculation according to the similarity judgment objective function and the similarity of a plurality of single electricity utilization characteristics.
In a third aspect, an embodiment of the present application provides a monitor, including a data processing and analyzing module, and a communication module, a data acquisition module, and a data storage module, which are electrically connected to the data processing and analyzing module;
the data acquisition module is used for acquiring power utilization characteristic data of the pollution production equipment and/or the pollution treatment equipment of the monitored object;
the communication module is used for being in communication connection with the background data processing center;
the data storage module is used for storing the electricity utilization characteristic data;
the data processing and analyzing module is used for executing the steps of the environmental protection monitoring method.
The monitoring instrument further comprises an alarm module electrically connected with the data processing and analyzing module, and the alarm module is used for sending an alarm signal when detecting that the monitored object secretly discharges pollutants or the pollution control equipment works abnormally.
In a fourth aspect, an embodiment of the present application provides an environmental monitoring system, which includes a background data processing center, and a monitor and a management platform set, which are in communication connection with the background data processing center;
the monitoring instrument is used for acquiring power utilization characteristic data of the pollution production equipment and/or the pollution treatment equipment of the monitored object and uploading the power utilization characteristic data to the background data processing center;
the background data processing center is used for collecting, storing and analyzing the electricity utilization characteristic data;
the management platform group is used for remotely monitoring the production pollution control condition of the monitored object;
the monitor and/or the background data processing center are also used for executing the steps of the environmental protection monitoring method.
Has the advantages that:
according to the standard electricity utilization feature library establishing method, the environment-friendly monitoring system and the monitor, the electricity utilization feature data of the pollution production equipment and the pollution treatment equipment of the monitored object are obtained; judging the working modes of the sewage production equipment and the sewage treatment equipment according to the power utilization characteristic data; inquiring in a standard electricity utilization characteristic database according to the working modes of the pollution production equipment and the pollution treatment equipment to obtain corresponding standard electricity utilization characteristic data of the pollution treatment equipment; the standard electricity utilization characteristic library is obtained by adopting the standard electricity utilization characteristic library establishing method; carrying out normalization processing on the electricity utilization characteristic data of the pollution treatment equipment; calculating the overall similarity of the normalized power utilization characteristic data of the pollution treatment equipment and the standard power utilization characteristic data, and comparing the overall similarity with a preset similarity judgment value to judge whether the pollution treatment equipment works normally; the method is beneficial to effectively judging whether the pollution treatment equipment works normally or not so as to avoid illegal operation that other electric equipment is illegally accessed to pretend to be the pollution treatment equipment to work.
Drawings
Fig. 1 is a basic flowchart of an environmental monitoring method according to an embodiment of the present disclosure.
FIG. 2 is a flow chart of an exemplary environmental monitoring method.
FIG. 3 is a flow chart of another exemplary environmental monitoring method.
Fig. 4 is a flowchart of basic power utilization feature similarity determination in the environmental monitoring method according to the embodiment of the present application.
Fig. 5 is a flowchart of the similarity determination of the advanced power utilization characteristics in the environmental monitoring method according to the embodiment of the present application.
Fig. 6 is a basic flowchart of a standard electricity usage characteristics database establishment method according to an embodiment of the present disclosure.
FIG. 7 is a flow chart of an exemplary method for building a standard electricity usage profile.
Fig. 8 is a schematic structural diagram of a monitor provided in an embodiment of the present application.
Fig. 9 is a schematic structural diagram of an environmental monitoring system according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 6, a method for establishing a standard electricity usage feature library provided in an embodiment of the present application includes the steps of:
s1, collecting power utilization characteristic data of sewage production equipment and sewage treatment equipment in different working modes; the electricity utilization characteristic data comprises basic electricity utilization characteristic data and advanced electricity utilization characteristic data; the basic electricity usage characteristic data includes (but is not limited to) at least one of electricity usage, power, current, voltage; the advanced power usage characteristic data includes (but is not limited to) at least one of starting current pulse content, active power, current distortion rate;
s2, preprocessing the power utilization characteristic data of the pollution treatment equipment to obtain a characteristic set;
s3, normalizing each electricity utilization characteristic data in the characteristic set;
and S4, storing the feature set subjected to normalization processing into a standard electricity utilization feature library.
The standard electricity utilization characteristic library is used for the environmental protection monitoring equipment to inquire the standard electricity utilization characteristic data of the pollution treatment equipment according to the working modes of the pollution production equipment and the pollution treatment equipment so as to calculate the overall similarity.
The method comprises the steps of obtaining standard electricity utilization characteristic library data, and executing the steps when the installation of monitoring equipment is finished, wherein the obtained standard electricity utilization characteristic library data are standard, the installation of the monitoring equipment is generally carried out under the supervision of an environmental protection department, and the states of pollution production equipment and pollution treatment equipment of an enterprise can be checked before and after the installation so as to ensure that the pollution production equipment and the pollution treatment equipment are normal. In fact, as the pollution production equipment and the pollution treatment equipment have aging conditions over time, the standard electricity utilization characteristic data should be updated correspondingly; therefore, the steps can be periodically executed to update the data of the standard electricity utilization feature library under the condition that the pollutant production equipment and the pollutant treatment equipment are ensured to be normal.
The pollution treatment equipment can be divided into a plurality of working modes according to different operating powers, for example, a low-power operating mode, a medium-power operating mode and a rated-power operating mode (but not limited thereto, the operation modes can also be divided into a plurality of working modes), the pollution treatment speeds in different modes are different, and the pollution treatment equipment can also be divided into a plurality of corresponding working modes according to the operating power of the pollution treatment equipment so as to ensure that the pollution treatment efficiency of the pollution treatment equipment is matched with the pollution production speed of the pollution treatment equipment. Under different working modes, the power consumption, the power, the current, the voltage and the like are different, so that the working modes of the pollution production equipment and the pollution treatment equipment can be judged according to the specific value of at least one of the power consumption, the power, the current and the voltage.
The starting current pulse content MC is a high-level characteristic of the power load and can be calculated by the following calculation formula:
Figure 823353DEST_PATH_IMAGE001
wherein
Figure 620407DEST_PATH_IMAGE002
For the maximum value of the current experienced at the moment of start-up,
Figure 790095DEST_PATH_IMAGE003
to achieve a steady state current magnitude before start-up,
Figure 963588DEST_PATH_IMAGE004
to end the start-up process, the steady state magnitude of the current after steady state operation.
The active power is a steady-state high-level characteristic of the electric load, and can be expressed as follows according to a Fourier series expansion formula:
Figure 36586DEST_PATH_IMAGE005
wherein the content of the first and second substances,
Figure 4542DEST_PATH_IMAGE006
in order to be the active power,
Figure 100674DEST_PATH_IMAGE007
the phase of the current lag voltage for the ith harmonic,
Figure 874595DEST_PATH_IMAGE008
is the voltage value of the ith harmonic,
Figure 739783DEST_PATH_IMAGE009
is the ith harmonic current value.
The current distortion rate is the distortion degree of the waveform compared with a stable sine wave, reflects the comparison of effective values of the current among the harmonics, and has the formula:
Figure 940957DEST_PATH_IMAGE010
wherein the content of the first and second substances,
Figure 524385DEST_PATH_IMAGE011
in order to be able to measure the rate of current distortion,
Figure 774101DEST_PATH_IMAGE012
in order to stabilize the effective value of the current of the sine wave,
Figure 323156DEST_PATH_IMAGE013
the current effective value of the current collection period is obtained.
The preprocessing in step S2 may include preprocessing methods (such as removing skip points, filtering, etc.) for the sampled data in the prior art, and may further include classifying, packaging, and storing the collected electricity consumption feature data according to a time period.
In some embodiments, in step S3, the step of normalizing each of the electricity usage characteristic data includes:
1) n-dimensional characteristic vector is formed by using n sampling values of the same electricity utilization characteristic data
Figure 632915DEST_PATH_IMAGE014
2) The normalized value of each sample value in the n-dimensional feature vector is calculated by the following formula:
Figure 765956DEST_PATH_IMAGE015
Figure 819362DEST_PATH_IMAGE016
Figure 659142DEST_PATH_IMAGE017
wherein the content of the first and second substances,
Figure 202119DEST_PATH_IMAGE018
a normalized value representing the ith sample value,
Figure 494560DEST_PATH_IMAGE019
representing the original value of the ith sample value,
Figure 351658DEST_PATH_IMAGE020
is the maximum of the sample values in the n-dimensional feature vector,
Figure 108261DEST_PATH_IMAGE021
is the minimum of the sample values in the n-dimensional feature vector;
3) and (3) repeatedly executing the steps 1) and 2) for each type of power utilization characteristic data to finish the normalization processing of all the power utilization characteristic data.
The normalization process is a linear normalization process, and in fact, other normalization processes (such as, but not limited to, a 0-mean normalization) may be used.
In some embodiments, see fig. 7, step S1 is followed by:
s5, judging whether the sewage production equipment and the sewage treatment equipment work normally or not according to the power utilization characteristic data; if yes, executing steps S2-S4; if not, sending out a collection failure alarm signal so that the working personnel can check and maintain the equipment in time.
Specifically, the judgment can be directly carried out according to whether the electricity utilization characteristic data are in the corresponding normal numerical value ranges; for example, if the average value of the sampling values of the at least one type of electricity utilization characteristic data exceeds the corresponding normal value range, the corresponding equipment is judged to be abnormal; or if the proportion of the number of the sampling values exceeding the corresponding normal numerical range in the total number of the sampling values exceeds a preset proportion judgment value in the sampling values of at least one type of electricity utilization characteristic data, judging that the corresponding equipment is abnormal; but is not limited thereto.
In addition, if it is determined in S5 that the pollution generating apparatus and the pollution control apparatus are not both operating normally (i.e., at least one abnormality), the abnormal electricity usage characteristic data is also filtered (i.e., the collected abnormal electricity usage characteristic data is deleted).
Referring to fig. 1, an environmental monitoring method provided in an embodiment of the present application includes the steps of:
A1. acquiring power utilization characteristic data of the pollution production equipment and the pollution treatment equipment of the monitored object; the electricity utilization characteristic data comprises basic electricity utilization characteristic data and advanced electricity utilization characteristic data; the basic electricity utilization characteristic data comprises at least one item of electricity consumption, power, current and voltage; the advanced electricity utilization characteristic data comprises at least one of starting current pulse content, active power and current distortion rate;
A2. judging the working modes of the sewage production equipment and the sewage treatment equipment according to the power utilization characteristic data;
A3. inquiring in a standard electricity utilization characteristic library to obtain standard electricity utilization characteristic data of the corresponding pollution treatment equipment according to the working modes of the pollution production equipment and the pollution treatment equipment; the standard electricity utilization characteristic library is obtained by adopting the standard electricity utilization characteristic library establishing method;
A4. carrying out normalization processing on the electricity utilization characteristic data of the pollution treatment equipment;
A5. calculating the overall similarity of the normalized power utilization characteristic data of the pollution treatment equipment and the standard power utilization characteristic data, and comparing the overall similarity with a preset similarity judgment value to judge whether the pollution treatment equipment works normally; and the overall similarity is obtained by weighted calculation according to the similarity judgment objective function and the similarity of a plurality of single electricity utilization characteristics.
According to the method, the total similarity is calculated through the power utilization characteristic data and the corresponding standard power utilization characteristic data and is used for comparing with a preset similarity judgment value, when an enterprise adopts other power utilization equipment to illegally access the imposition pollution discharge equipment to work, although the power can be matched, the total similarity cannot be guaranteed to be larger than the preset similarity judgment value, so that whether the pollution treatment equipment normally works or not can be effectively judged through the comparison of the total similarity and the preset similarity judgment value, and the illegal operation of adopting other power utilization equipment to illegally access the imposition pollution discharge equipment to work can be avoided; can effectively monitor whether the pollution control equipment of enterprises works normally in the production process.
The pollution treatment equipment can be divided into a plurality of working modes according to different operating powers, for example, a low-power operating mode, a medium-power operating mode and a rated-power operating mode (but not limited thereto, the operation modes can also be divided into a plurality of working modes), the pollution treatment speeds in different modes are different, and the pollution treatment equipment can also be divided into a plurality of corresponding working modes according to the operating power of the pollution treatment equipment so as to ensure that the pollution treatment efficiency of the pollution treatment equipment is matched with the pollution production speed of the pollution treatment equipment. Under different working modes, the power consumption, the power, the current, the voltage and the like are different, so that the working mode of the pollution production equipment and the pollution treatment equipment can be judged to be the same according to the condition that the specific value of at least one of the power consumption, the power, the current and the voltage is the same as the corresponding standard value under which working mode (the difference between the specific value and the standard value is smaller than the preset tolerance range, namely the specific value and the standard value are the same).
In step a3, a standard electricity consumption feature library is queried and matched according to the working mode, and standard electricity consumption feature data of the pollution treatment equipment of the corresponding working mode in the standard electricity consumption feature library is used as a query result.
In step a4, the specific method for normalizing the power consumption feature data of the pollution treatment device may refer to the method for normalizing the power consumption feature data in the standard power consumption feature library establishing method, which is not described herein again.
In some embodiments, referring to fig. 2 and 3, the preset similarity determination value includes a first similarity determination value;
thus, step a5 includes:
A501. calculating a first total similarity of the normalized basic power utilization characteristic data of the pollution treatment equipment and the corresponding standard power utilization characteristic data;
A502. judging whether the first overall similarity is larger than a first similarity judgment value or not;
A503. if not, judging that the pollution control equipment works abnormally.
In some preferred embodiments, referring to fig. 2 and 3, the preset similarity determination value includes a second similarity determination value;
thus, step a5 includes:
A504. calculating a second overall similarity between the high-level electricity utilization characteristic data after the normalization processing of the pollution treatment equipment and the corresponding standard electricity utilization characteristic data;
A505. judging whether the second overall similarity is larger than a second similarity judgment value
A506. If not, judging that the pollution control equipment works abnormally.
Preferably, once the abnormal operation of the pollution control equipment is determined, an alarm signal is sent to remind the monitored object (such as an enterprise) of stopping illegal activities in time and/or remind a monitoring person (such as an environmental management person) of the abnormal operation of the pollution control equipment of the monitored object.
In practice, step A5 may include steps A501-A503, but not steps A504-A506; steps A504-A506 may also be included, instead of steps A501-A503; it may also include both steps A501-A503 and A504-A506. And in the third mode, the basic power utilization characteristic number and the advanced power utilization characteristic number are adopted to carry out two times of overall similarity comparison, so that the judgment result is more accurate. For the third mode, as shown in fig. 2, if the first total similarity is not lower than the first similarity determination value, the steps a504-a506 are executed, so that if the basic power utilization characteristic data is adopted, that is, the working abnormality of the pollution control equipment is identified, the advanced power utilization characteristic data does not need to be used for similarity comparison, and an alarm signal can be directly sent out, which is beneficial to reducing the calculation load; alternatively, as shown in fig. 3, steps a501-a503 and steps a504-a506 may be executed in parallel, and if the operation of the pollution treatment device is determined to be abnormal at least once through the overall similarity comparison, the operation of the pollution treatment device is finally determined to be abnormal.
The overall similarity is obtained by summing the accumulated weighted value of a plurality of single electricity utilization feature similarities and the weighted value of a similarity judgment objective function, the single electricity utilization feature similarity is the Euclidean distance between a sampling data set of electricity utilization feature data after normalization processing and a corresponding data set of standard electricity utilization feature data, and the weight of each single electricity utilization feature similarity is set according to a specific similarity algorithm. The overall similarity ranges from 0 to 1.
For example, referring to fig. 4, 5, in some embodiments, the process of performing overall similarity calculations includes steps a1-a 3:
a1. and calculating similarity according to the normalized power utilization characteristic data of the pollution treatment equipment to judge the target function.
Specifically, assuming that m types of electricity utilization characteristic data are collected (if the first overall similarity is calculated, m types of basic electricity utilization characteristic data are collected; if the second overall similarity is calculated, m types of high-level electricity utilization characteristic data are collected), in a judgment period, each type of electricity utilization characteristic data collects N samples, each sample comprises N sampling values (the corresponding standard electricity utilization characteristic data also comprises N data values), and the N samples after normalization processing form an electricity utilization characteristic data sample set; the jth sample of the ith normalized power usage feature data may be represented as
Figure 759822DEST_PATH_IMAGE022
The similarity determination objective function is calculated by the following formula:
Figure 365991DEST_PATH_IMAGE023
Figure 761200DEST_PATH_IMAGE024
wherein the content of the first and second substances,
Figure 309993DEST_PATH_IMAGE025
an objective function is determined for the degree of similarity,
Figure 460352DEST_PATH_IMAGE026
determining an objective function for single phase similarity, D1As a function of the degree of similarity in the electrical characteristics, D2As a function of similarity between the classes of electricity usage characteristics,
Figure 727385DEST_PATH_IMAGE027
the mean center of the electricity utilization characteristic data after the ith normalization processing,
Figure 988602DEST_PATH_IMAGE028
for the standard characteristic value of the ith electricity utilization data,
Figure 391902DEST_PATH_IMAGE029
to satisfy
Figure 713162DEST_PATH_IMAGE031
P is a determination value (probability value) of the similarity determination value. Handle
Figure 467491DEST_PATH_IMAGE029
Is set to satisfy
Figure 204503DEST_PATH_IMAGE031
90% of sample points with small data fluctuation can be reserved, and the judgment influence of 10% of sample points with large fluctuation on the electricity utilization characteristic similarity is eliminated, so that the accuracy of the similarity judgment algorithm can be ensured.
a2. And calculating the single electricity utilization characteristic similarity of each normalized electricity utilization characteristic data and the corresponding standard electricity utilization characteristic data.
Specifically, assuming that m types of electricity utilization characteristic data are collected (if the first overall similarity is calculated, m types of basic electricity utilization characteristic data are collected, and if the second overall similarity is calculated, m types of advanced electricity utilization characteristic data are collected), the ith type of electricity utilization characteristic data in the standard electricity utilization characteristic data set is
Figure 291670DEST_PATH_IMAGE032
Judgment with this bookThe ith kind of electricity utilization characteristic data acquired in the period
Figure 721514DEST_PATH_IMAGE033
The normalized data and the corresponding ith electricity utilization characteristic data
Figure 759877DEST_PATH_IMAGE034
And (3) calculating the similarity of the single power utilization characteristics, wherein the calculation formula is as follows:
Figure 300580DEST_PATH_IMAGE035
wherein the content of the first and second substances,
Figure 944051DEST_PATH_IMAGE036
the similarity of the single electricity utilization characteristics corresponding to the ith electricity utilization characteristic data,
Figure 341534DEST_PATH_IMAGE037
for the normalized single-use characteristic value data set,
Figure 70456DEST_PATH_IMAGE038
standard electricity-only characteristic data stored for initialization.
a3. And calculating the overall similarity according to the similarity judgment target function and the single power utilization feature similarity.
Specifically, the overall similarity is calculated by the following formula:
Figure 211587DEST_PATH_IMAGE039
wherein k1 and k2 can be arranged as required and 0 ≤ k1 ≤ k2 ≤ 1, wherein k1 is
Figure 709565DEST_PATH_IMAGE040
The value of the weight coefficient of (a),
Figure 215632DEST_PATH_IMAGE040
is singly used for the ith kindElectrical feature similarity; k2 is
Figure 992702DEST_PATH_IMAGE026
The value of the weight coefficient,
Figure 937524DEST_PATH_IMAGE026
determining a target function for the single-phase similarity; sim is the overall similarity.
It should be noted that the first similarity determination value and the second similarity determination value may be set according to actual needs, for example, the first similarity determination value is 0.85 to 0.95, and the second similarity determination value is 0.70 to 0.80.
Whether the pollution treatment equipment works normally is judged through the overall similarity of the normalized power utilization characteristic data and the corresponding standard power utilization characteristic data, and compared with the method that whether the pollution treatment equipment works normally is identified only by the numerical range of power consumption, power utilization power or current in the prior art, whether the current power utilization equipment is the pollution treatment equipment or not and whether the pollution treatment equipment is in a normal working state or not can be identified more accurately and intelligently, and a method that an enterprise accesses and matches the pollution treatment equipment illegally through other pollution production equipment can also be effectively found. The similarity of the first total body can be calculated by adopting one or more basic electricity utilization characteristic data, and the recognition accuracy can be further improved by preferably adopting a plurality of basic electricity utilization characteristic data; the second overall similarity may be calculated using one or more types of advanced electricity usage characteristics data, preferably a plurality of types of advanced electricity usage characteristics data, which may further improve recognition accuracy.
In some preferred embodiments, referring to fig. 2 and 3, the environmental monitoring method further includes the steps of:
A6. judging whether the sewage production equipment is started before the sewage treatment equipment according to the power utilization characteristic data of the sewage production equipment and the sewage treatment equipment;
A7. if yes, judging that the monitored object secretly discharges pollutants;
A8. judging whether the sewage production equipment is closed or not compared with the sewage treatment equipment according to the power utilization characteristic data of the sewage production equipment and the sewage treatment equipment;
A9. if yes, judging that the monitored object secretly discharges pollutants.
If the acquired electricity consumption characteristic data includes electricity consumption, in step a6, the determination may be made according to the time when the electricity consumption of the pollution production equipment begins to change and the time when the electricity consumption of the pollution treatment equipment begins to change, and if the time when the electricity consumption of the pollution production equipment begins to change is before the time when the electricity consumption of the pollution treatment equipment begins to change, it is determined that the pollution production equipment is started before the pollution treatment equipment; in step A8, the determination may be made according to the time when the power consumption of the pollution generating equipment begins not to change and the time when the power consumption of the pollution treatment equipment begins not to change, and if the time when the power consumption of the pollution generating equipment begins not to change is after the time when the power consumption of the pollution treatment equipment begins not to change, the pollution generating equipment is determined to be turned off after the pollution treatment equipment.
If the acquired electricity consumption characteristic data includes power consumption, current consumption or voltage consumption, in step a6, the determination may be made according to the time when the power, current or voltage of the pollution production equipment and the pollution treatment equipment changes from zero to non-zero, and if the time when the power, current or voltage of the pollution production equipment changes from zero to non-zero is before the time when the power, current or voltage of the pollution treatment equipment changes from zero to non-zero, it is determined that the pollution production equipment is started before the pollution treatment equipment; in step A8, the determination may be performed according to the sequence of the time when the power, current, or voltage of the pollution production device and the pollution treatment device changes from non-zero to zero, and if the time when the power, current, or voltage of the pollution production device changes from zero to non-zero is after the time when the power, current, or voltage of the pollution treatment device changes from non-zero to zero, it is determined that the pollution production device is turned off after the pollution treatment device. It should be noted that, as shown in fig. 2 and 3, if it is determined in step a6 that the pollution abatement apparatus is not turned on earlier than the pollution abatement apparatus, steps a2-a5 are performed.
By detecting the opening sequence and the closing sequence of the pollution production equipment and the pollution treatment equipment, whether the enterprises have the behavior of stealing and discharging pollutants can be found in time so as to prevent or take other countermeasures in time. Preferably, once the monitored object secretly discharges pollutants, an antitheft warning signal is sent to remind the monitored object (such as an enterprise) of stopping the antitheft behavior in time, and/or remind monitoring personnel (such as environmental protection management personnel) of the existence of the antitheft behavior of the monitored object.
In some preferred embodiments, the environmental monitoring method further comprises the steps of:
A10. acquiring the current accumulated working time of the pollution treatment equipment and the accumulated working time of the last maintenance alarm;
A11. calculating the time difference between the current accumulated working time and the accumulated working time during the last maintenance alarm;
A12. if the time difference reaches a preset time judgment value, a maintenance alarm of the pollution treatment equipment is sent out.
Starting from the installation and use of the detection equipment, the accumulated working time of the pollution treatment equipment starts to be calculated once the pollution treatment equipment works, when the accumulated working time reaches a preset time judgment value, a maintenance alarm of the pollution treatment equipment is sent out to remind a monitoring object to maintain the pollution treatment equipment, monitoring personnel is reminded to supervise the monitoring object to maintain the pollution treatment equipment, the accumulated working time when the maintenance alarm of the pollution treatment equipment is sent out is recorded, when the pollution treatment equipment works subsequently, the accumulated working time is continuously calculated, and the time difference between the actual accumulated working time and the accumulated working time when the previous maintenance alarm is sent out (namely, the accumulated working time recorded when the maintenance alarm of the pollution treatment equipment is sent out last time) is calculated. Therefore, in step a12, the accumulated operating time of the pollution control equipment at the current time is recorded while the maintenance alarm of the pollution control equipment is issued.
According to the environmental protection monitoring method, the power utilization characteristic data of the pollution production equipment and the pollution treatment equipment of the monitored object are obtained; judging the working modes of the sewage production equipment and the sewage treatment equipment according to the power utilization characteristic data; inquiring in a standard electricity utilization characteristic database according to the working modes of the pollution production equipment and the pollution treatment equipment to obtain corresponding standard electricity utilization characteristic data of the pollution treatment equipment; the standard electricity utilization characteristic library is obtained by adopting the standard electricity utilization characteristic library establishing method; carrying out normalization processing on the electricity utilization characteristic data of the pollution treatment equipment; calculating the overall similarity of the normalized power utilization characteristic data of the pollution treatment equipment and the standard power utilization characteristic data, and comparing the overall similarity with a preset similarity judgment value to judge whether the pollution treatment equipment works normally; whether current consumer is the pollution treatment equipment and whether the pollution treatment equipment is in a normal working state can be accurately and intelligently identified, so that the enterprise can not be effective by accessing the illegal of other pollution production equipment to match with the pollution treatment equipment.
Referring to fig. 8, an embodiment of the present application further provides a monitor 100, which includes a data processing and analyzing module (CPU) 101, and a communication module 102, a data acquisition module 103, and a data storage module 104 electrically connected to the data processing and analyzing module 101;
the data acquisition module 103 is used for acquiring power consumption characteristic data of the pollution production equipment and/or the pollution treatment equipment of the monitored object;
the communication module 102 is used for being in communication connection with the background data processing center 200;
the data storage module 104 is used for storing electricity utilization characteristic data;
the data processing and analyzing module 101 is configured to execute the steps of the environmental monitoring method.
In some preferred embodiments, the monitor 100 further includes an alarm module 105 electrically connected to the data processing and analyzing module 101, wherein the alarm module 105 is configured to send an alarm signal when detecting that the monitored object secretly discharges pollutants or the pollution control equipment is abnormally operated.
In addition, if it is detected that the monitored object secretly discharges pollutants or the pollution control equipment works abnormally, the data processing and analyzing module 101 is further configured to send corresponding warning information to the background data processing center 200 through the communication module 102. And stores the corresponding electricity usage characteristics data (referred to as abnormal electricity usage characteristics data) in the data storage module 104 to provide relevant evidence when checking, warning or punishing the relevant business.
The data acquisition module 103 includes a plurality of sensors for acquiring various electrical characteristic data. According to the use requirement, the same monitor 100 can be used for collecting the power utilization characteristic data of the pollution production equipment and the pollution treatment equipment, and different monitors 100 can be used for collecting the power utilization characteristic data of the pollution production equipment and the pollution treatment equipment respectively; in the latter case, since one monitor 100 itself only acquires the electricity consumption characteristic data of one of the pollution production equipment or the pollution treatment equipment, the electricity consumption characteristic data of the other equipment is needed when the steps of the environmental monitoring method are executed, and at this time, the electricity consumption characteristic data can be acquired from the background data processing center 200 through the communication module 102, and therefore, the data processing and analyzing module 101 is further configured to send the acquired electricity consumption characteristic data to the background data processing center 200 through the communication module 102.
Therefore, the monitor monitors the equipment of the enterprise by the environment-friendly monitoring method, can accurately and intelligently identify whether the current electric equipment is the pollution treatment equipment or not and whether the pollution treatment equipment is in a normal working state or not, and enables the enterprise to be incapable of playing a role in matching the pollution treatment equipment through illegal access of other pollution production equipment. Moreover, the monitor adopts a method of intelligently identifying the working state of the environmental protection equipment by using the electricity utilization characteristics, avoids the problem that different pollutant content monitoring devices are installed for different pollution discharge enterprises in the traditional method, reduces the supervision cost, unifies the supervision scale, and is easier to popularize in a unified way for various pollution discharge enterprises.
Referring to fig. 9, an environmental monitoring system is further provided in the embodiment of the present application, which includes a background data processing center 200, and a monitor 100 (i.e., an environmental monitor in the figure) and a management platform set 300, which are in communication connection with the background data processing center 200;
the monitoring instrument 100 is used for acquiring power consumption characteristic data of the pollution production equipment and/or the pollution treatment equipment of the monitored object and uploading the power consumption characteristic data to the background data processing center 200;
the background data processing center 200 is used for collecting, storing and analyzing the electricity utilization characteristic data;
the management platform group 300 is used for remotely monitoring the production pollution control condition of the monitored object;
wherein, the monitor 100 and/or the back-end data processing center 200 are further configured to perform the steps of the environmental monitoring method.
The steps of the environmental monitoring method can be executed only in the monitor 100, so that the calculation load of the background data processing center 200 is reduced, the capacity is favorably expanded, and the background data processing center 200 can effectively monitor more enterprises. The steps of the environmental monitoring method can also be executed only in the background data processing center 200, so that the monitor 100 mainly plays a role of data acquisition, the requirement on equipment performance is low, and the deployment cost is favorably reduced. The steps of the environmental monitoring method can be executed in the monitor 100 and the steps of the environmental monitoring method can be executed in the background data processing center 200, so that secondary check of monitoring and judging results of the monitor can be realized, the problem that corresponding enterprises cannot be effectively monitored when the monitor fails and can not normally monitor and judge the working state of pollution treatment equipment can be avoided, and failure of system monitoring function caused by monitor failure can be prevented.
In some embodiments, the set of management platforms 300 includes a epa platform 301 (e.g., epa platform). The environmental protection supervision department can master the pollution production working time and the synchronous working condition of the pollution treatment facilities in the pollution production enterprise generation and operation in the district in real time through the environmental protection department platform 301, timely find the enterprise condition that the pollution treatment equipment is not opened, closed in advance or is in an abnormal working state, and issue a supervision instruction. In the time period of needing shutdown and limited production caused by heavy pollution or other conditions, the environment-friendly department platform 301 can also issue shutdown and limited production notifications in time to guide enterprise users to complete shutdown and limited production tasks according to relevant notification regulations, and monitors the execution conditions of shutdown and limited production measures of enterprises in real time.
Specifically, the environmental protection department platform 301 includes:
a system administrator module: the system is responsible for the maintenance and management of the system, the generation and the authority distribution of the account number and the maintenance and management of the environmental protection data;
an environment protection manager module: the system is responsible for inputting and issuing announcements such as environmental protection commands, environmental protection policy and regulations and the like;
a department leader module: the system is responsible for management and supervision and is mainly used for personnel to check environment-friendly monitoring conditions and statistical information of jurisdictions;
a supervisor module: and the system is mainly used for checking the operation condition of the enterprise environmental protection facilities managed by the personnel and inputting processing information to the alarm condition.
In some embodiments, management platform set 300 further includes a client platform 302. The monitored production enterprise, i.e. the customer managed by the system, can display the production working condition and the pollution treatment equipment working condition of the current enterprise, whether production limitation and production stop are needed or not, specific production limitation and production stop information and the like to the customer through the customer platform 302. Each customer may have one or more customer platform accounts, with multiple platform accounts of the same customer having the same system functionality.
The specific client platform 302 includes at least one of a first display module, a second display module, a third display module, and a fourth display module:
a first display module: the system is used for displaying the synchronous working conditions of the current enterprise sewage production and environmental protection treatment facilities (namely the synchronous working conditions of the sewage production equipment and the sewage treatment equipment);
a second display module: the system is used for displaying the conditions of the current enterprise environmental protection management facilities, such as normal, fault, failure and maintenance;
a third display module: the system is used for displaying an environment-friendly production limit notice, an enterprise execution production stop and production limit condition and related reward and punishment measures;
a fourth display module: for displaying environmental normal regulations (i.e., regulations that specify what conditions are in compliance with environmental measures to perform normal situations).
The client platform 302 may further include at least one of a first service module, a second service module, and a third service module:
the first service module: the system is used for displaying the enterprise electricity utilization information;
a second service module: the system is used for inputting and sending consultation information and displaying feedback information;
a third service module: the sewage discharge information display device is used for displaying the sewage discharge information of the enterprise.
In some embodiments, the management platform set 300 further includes an operation and maintenance center platform 303. The operation and maintenance center platform 303 is responsible for the management of the whole monitoring system, monitoring the running conditions of software and hardware of the monitor 100 and the background data processing center 200, the operation and maintenance services of database software and other management platforms, and the communication and interface interconnection management services of each device of the whole system.
Specifically, the operation and maintenance center platform 303 includes:
an initialization module: the system is used for initializing, collecting and storing the enterprise client monitor data system;
a system upgrading module: the system is used for expanding and upgrading functions of the system;
the monitoring module is used for monitoring and managing the running condition of hardware facilities (such as monitors) and the running condition of a network;
a database management module: the system is used for constructing, maintaining and managing a database of the pollution control equipment;
a characteristic library management module: the system is used for collecting, maintaining and managing the characteristic database data (namely the standard electricity utilization characteristic database data) of the pollution treatment equipment;
a statistic module: the system is used for displaying and counting the big data of the system;
the network security detection module: the method is used for monitoring the network security condition.
The manager of each platform in the management platform group 300 can log in the corresponding management platform by using the corresponding APP through the terminal, as shown in fig. 9.
Therefore, the environment-friendly monitoring system monitors the equipment of the enterprise by the environment-friendly monitoring method, can accurately and intelligently identify whether the current electric equipment is the pollution treatment equipment or not and whether the pollution treatment equipment is in a normal working state or not, and enables the enterprise to be incapable of performing an effect by illegally accessing and matching the pollution treatment equipment through other production equipment. And the system comprises software and hardware equipment modules such as an environmental protection monitor, a background data processing center, an environmental protection bureau monitoring platform, a management platform group and the like, a system platform closed-loop operation network is formed, the working monitoring standards of the environmental protection equipment are unified, and the environmental protection equipment can be uniformly accessed and managed aiming at various pollution discharge enterprises.
To sum up, the standard electricity utilization feature library establishing method, the environmental protection monitoring system and the monitoring instrument provided by the embodiment of the application can intelligently judge whether the enterprise sewage production equipment and the sewage treatment equipment are simultaneously started to work and synchronously closed or not and whether the sewage treatment equipment normally works or not and whether other electric equipment is adopted to illegally access various illegal operations of the operation of the sewage treatment equipment by acquiring the basic electricity utilization feature data and the high-grade electricity utilization feature data of the enterprise sewage production equipment and the sewage treatment equipment and adopting a grading and step-by-step composite electricity utilization feature intelligent identification algorithm. Its outstanding advantage is as follows:
1. the environment-friendly monitoring system comprises software and hardware equipment modules such as a monitor, a background data processing center, an environment-friendly department platform, an operation and maintenance center platform, a client platform and the like, a system platform closed-loop operation network is formed, the working monitoring standards of environment-friendly equipment are unified, and the environment-friendly equipment can be uniformly accessed and managed aiming at various pollution discharge enterprises;
2. the environment-friendly monitoring system innovatively adopts a method for intelligently identifying the working state of the environment-friendly equipment by adopting composite electricity utilization characteristic data, the monitor can acquire various electricity utilization characteristic data, the situation that different pollutant content monitoring devices are installed for different pollution discharge enterprises in the traditional scheme is avoided, the supervision cost is reduced, the supervision scale is unified, and the environment-friendly monitoring system is easier to popularize uniformly for various pollution discharge enterprises;
3. compared with a single power utilization characteristic distinguishing algorithm adopted in the prior art, the intelligent recognition algorithm adopting the multi-stage multi-characteristic composite power utilization characteristic of the environment-friendly monitoring system can more accurately and intelligently recognize whether the current power utilization equipment is pollution treatment equipment or not and whether the pollution treatment equipment is in a normal working state or not. The practice that the enterprise accesses the matched pollution treatment equipment through the violation of other pollution production equipment will not work.
In summary, although the present invention has been described with reference to the preferred embodiments, the above-described preferred embodiments are not intended to limit the present invention, and those skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, which are substantially the same as the present invention.

Claims (11)

1. A method for establishing a standard electricity utilization feature library is characterized in that the standard electricity utilization feature library is used for an environmental protection monitoring device to inquire standard electricity utilization feature data of a pollution treatment device according to working modes of a pollution production device and the pollution treatment device so as to calculate the overall similarity;
the method comprises the following steps:
s1, collecting power utilization characteristic data of sewage production equipment and sewage treatment equipment in different working modes; the power utilization characteristic data comprises basic power utilization characteristic data and advanced power utilization characteristic data; the basic electricity utilization characteristic data comprises at least one of electricity consumption, power, current and voltage; the advanced power utilization characteristic data comprises at least one of starting current pulse content, active power and current distortion rate;
s2, preprocessing the power utilization characteristic data of the pollution treatment equipment to obtain a characteristic set;
s3, normalizing each electricity utilization characteristic data in the characteristic set;
s4, storing the feature set subjected to normalization processing into a standard electricity utilization feature library;
the working modes are obtained according to different operating power divisions; the various working modes of the pollution treatment equipment correspond to the various working modes of the pollution production equipment, and the pollution treatment efficiency of the pollution treatment equipment is matched with the pollution production speed of the pollution production equipment in the corresponding working modes.
2. The method for establishing a standard electricity usage characteristics base according to claim 1, wherein the step S1 is followed by further comprising:
s5, judging whether the sewage production equipment and the sewage treatment equipment work normally or not according to the power utilization characteristic data; if yes, executing steps S2-S4; if not, sending out an acquisition failure alarm signal.
3. An environmental protection monitoring method, characterized by comprising the steps of:
A1. acquiring power utilization characteristic data of the pollution production equipment and the pollution treatment equipment of the monitored object; the power utilization characteristic data comprises basic power utilization characteristic data and advanced power utilization characteristic data; the basic electricity utilization characteristic data comprises at least one of electricity consumption, power, current and voltage; the advanced power utilization characteristic data comprises at least one of starting current pulse content, active power and current distortion rate;
A2. judging the working modes of the sewage production equipment and the sewage treatment equipment according to the power utilization characteristic data; the working modes are obtained according to different operating power divisions;
A3. inquiring in a standard electricity utilization characteristic database according to the working modes of the pollution production equipment and the pollution treatment equipment to obtain corresponding standard electricity utilization characteristic data of the pollution treatment equipment; the standard electricity utilization characteristic library stores standard electricity utilization characteristic data of the pollution control equipment in different working modes;
A4. carrying out normalization processing on the electricity utilization characteristic data of the pollution treatment equipment;
A5. calculating the overall similarity of the normalized power utilization characteristic data of the pollution treatment equipment and the standard power utilization characteristic data, and comparing the overall similarity with a preset similarity judgment value to judge whether the pollution treatment equipment works normally; and the overall similarity is obtained by weighted calculation according to the similarity judgment objective function and the similarity of a plurality of single electricity utilization characteristics.
4. The environmental monitoring method according to claim 3, wherein the preset similarity determination value includes a first similarity determination value;
step a5 includes:
calculating a first overall similarity of the normalized basic electricity characteristic data of the pollution treatment equipment and the corresponding standard electricity characteristic data;
judging whether the first total similarity is larger than the first similarity judgment value or not;
if not, judging that the pollution control equipment works abnormally.
5. The environmental monitoring method according to claim 4, wherein the preset similarity determination value includes a second similarity determination value;
step a5 further includes:
calculating a second overall similarity between the high-level electricity utilization characteristic data of the pollution treatment equipment after normalization processing and the corresponding standard electricity utilization characteristic data;
judging whether the second overall similarity is larger than the second similarity judgment value
If not, judging that the pollution control equipment works abnormally.
6. The environmental monitoring method of claim 3, wherein the process of performing overall similarity calculation comprises:
calculating similarity judgment objective functions according to the normalized power utilization characteristic data of the pollution treatment equipment;
calculating the similarity of the single power utilization characteristic of each normalized power utilization characteristic data and the corresponding standard power utilization characteristic data;
and calculating the overall similarity according to the similarity judgment target function and the similarity of the single power utilization characteristics.
7. The environmental monitoring method of claim 3, further comprising the steps of:
A6. judging whether the sewage production equipment is started before the sewage treatment equipment according to the power utilization characteristic data of the sewage production equipment and the sewage treatment equipment;
A7. if yes, judging that the monitored object secretly discharges pollutants;
A8. judging whether the sewage producing equipment is closed after the sewage treating equipment according to the power utilization characteristic data of the sewage producing equipment and the sewage treating equipment;
A9. if yes, judging that the monitored object secretly discharges pollutants.
8. The environmental monitoring method of claim 3, further comprising the steps of:
A10. acquiring the current accumulated working time of the pollution treatment equipment and the accumulated working time of the last maintenance alarm;
A11. calculating the time difference between the current accumulated working time and the accumulated working time during the last maintenance alarm;
A12. and if the time difference reaches a preset time judgment value, sending out a maintenance alarm of the pollution treatment equipment.
9. The monitor is characterized by comprising a data processing and analyzing module, a communication module, a data acquisition module and a data storage module, wherein the communication module, the data acquisition module and the data storage module are electrically connected with the data processing and analyzing module;
the data acquisition module is used for acquiring power utilization characteristic data of the pollution production equipment and/or the pollution treatment equipment of the monitored object;
the communication module is used for being in communication connection with the background data processing center;
the data storage module is used for storing the electricity utilization characteristic data;
the data processing and analyzing module is used for executing the steps of the environmental protection monitoring method according to any one of claims 3-8.
10. The monitor of claim 8, further comprising an alarm module electrically connected to the data processing and analyzing module, wherein the alarm module is configured to send an alarm signal when detecting that the monitored object secretly discharges pollutants or the pollution control equipment is abnormal in operation.
11. An environmental protection monitoring system is characterized by comprising a background data processing center, a monitor and a management platform set, wherein the monitor and the management platform set are in communication connection with the background data processing center;
the monitoring instrument is used for acquiring power utilization characteristic data of the pollution production equipment and/or the pollution treatment equipment of the monitored object and uploading the power utilization characteristic data to the background data processing center;
the background data processing center is used for collecting, storing and analyzing the electricity utilization characteristic data;
the management platform group is used for remotely monitoring the production pollution control condition of the monitored object;
the monitoring instrument and/or the back-office data processing center is further configured to perform the steps of the environmental monitoring method according to any one of claims 3 to 8.
CN202011371320.XA 2020-11-30 2020-11-30 Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor Active CN112184090B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011371320.XA CN112184090B (en) 2020-11-30 2020-11-30 Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011371320.XA CN112184090B (en) 2020-11-30 2020-11-30 Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor

Publications (2)

Publication Number Publication Date
CN112184090A CN112184090A (en) 2021-01-05
CN112184090B true CN112184090B (en) 2021-03-16

Family

ID=73918213

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011371320.XA Active CN112184090B (en) 2020-11-30 2020-11-30 Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor

Country Status (1)

Country Link
CN (1) CN112184090B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112787401B (en) * 2021-01-15 2022-05-13 浙江容大电力工程有限公司 Environment-friendly monitoring system and monitoring method based on electric power big data
CN112860673B (en) * 2021-01-27 2022-06-07 浙江容大电力工程有限公司 Intelligent device applied to environmental protection measurement and control and application method
CN112907929A (en) * 2021-01-29 2021-06-04 汇智道晟(舟山)科技有限公司 Environment-friendly monitoring system and method based on electricity utilization information
CN113077174B (en) * 2021-04-21 2022-08-05 国网福建省电力有限公司 Method for studying and judging state of pollution discharge and treatment equipment based on curve discrete Frecher distance matching and computer readable storage medium
CN113283503A (en) * 2021-05-24 2021-08-20 平安国际融资租赁有限公司 Method, device, equipment and medium for detecting equipment state based on feature similarity
CN113298422B (en) * 2021-06-16 2023-01-31 福建亿力优能电力科技有限公司 Pollution source enterprise illegal production monitoring method based on electricity consumption data

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105186693A (en) * 2015-09-28 2015-12-23 南方电网科学研究院有限责任公司 Non-intrusive mode electrical load identification system and method
WO2019242832A1 (en) * 2018-06-18 2019-12-26 Bayerische Motoren Werke Aktiengesellschaft Method, device, cloud service, system, and computer program for smart parking a connected vehicle
CN110928254A (en) * 2019-11-13 2020-03-27 江苏三希科技股份有限公司 Environment-friendly monitoring method and system for operation of pollution control equipment produced by pollution discharge enterprise
CN110940852A (en) * 2019-11-05 2020-03-31 江苏三希科技股份有限公司 Anti-cheating electric quantity monitoring method, system and device
CN111652450A (en) * 2020-08-05 2020-09-11 浙江力嘉电子科技有限公司 Abnormal detection system and method for pollution discharge behavior, electronic device and storage medium

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100401308C (en) * 2005-11-23 2008-07-09 胡筱敏 Method for inverting calculating land source draining away sewage quantity based on genetic calculating
CN106203756A (en) * 2015-05-05 2016-12-07 中国船舶重工集团公司第七六○研究所 A kind of trade effluent pollutant Source Tracing method of feature based data base
US20180225774A1 (en) * 2017-02-09 2018-08-09 Matthijs Pardoen Metering vehicle electricity consumption for variable tax collection
CN109472468A (en) * 2018-10-23 2019-03-15 广东柯内特环境科技有限公司 For the pollutant discharge of enterprise intelligent monitoring data analysis system of VOC organic exhaust gas
CN210835710U (en) * 2019-12-25 2020-06-23 内蒙古星力环境科技有限公司 Environment-friendly facility operation monitoring system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105186693A (en) * 2015-09-28 2015-12-23 南方电网科学研究院有限责任公司 Non-intrusive mode electrical load identification system and method
WO2019242832A1 (en) * 2018-06-18 2019-12-26 Bayerische Motoren Werke Aktiengesellschaft Method, device, cloud service, system, and computer program for smart parking a connected vehicle
CN110940852A (en) * 2019-11-05 2020-03-31 江苏三希科技股份有限公司 Anti-cheating electric quantity monitoring method, system and device
CN110928254A (en) * 2019-11-13 2020-03-27 江苏三希科技股份有限公司 Environment-friendly monitoring method and system for operation of pollution control equipment produced by pollution discharge enterprise
CN111652450A (en) * 2020-08-05 2020-09-11 浙江力嘉电子科技有限公司 Abnormal detection system and method for pollution discharge behavior, electronic device and storage medium

Also Published As

Publication number Publication date
CN112184090A (en) 2021-01-05

Similar Documents

Publication Publication Date Title
CN112184090B (en) Standard electricity utilization feature library establishing method, environment-friendly monitoring method, system and monitor
WO2021184630A1 (en) Method for locating pollutant discharge object on basis of knowledge graph, and related device
CN110097297B (en) Multi-dimensional electricity stealing situation intelligent sensing method, system, equipment and medium
CN111609883B (en) Communication machine room protection monitoring management system based on big data
US20230384355A1 (en) Non-intrusive load monitoring method
CN110208019B (en) Dynamic threshold early warning method for monitoring state of mobile equipment
Judd et al. Intelligent condition monitoring and asset management. Partial discharge monitoring for power transformers
CN113298422B (en) Pollution source enterprise illegal production monitoring method based on electricity consumption data
CN111651505B (en) Equipment operation situation analysis and early warning method and system based on data driving
CN114185760A (en) System risk assessment method and device and charging equipment operation and maintenance detection method
CN113221931B (en) Electricity stealing prevention intelligent identification method based on electricity utilization information acquisition big data analysis
CN108763966B (en) Tail gas detection cheating supervision system and method
CN113296029B (en) Distribution transformer voiceprint monitoring method, device, equipment and storage medium
CN115865649B (en) Intelligent operation and maintenance management control method, system and storage medium
CN113012388B (en) Pollution source online monitoring system and online monitoring data false identification analysis method
CN110879586A (en) Phase modulator fault diagnosis and state monitoring method and system
CN115729199A (en) Environment-friendly data online real-time monitoring system and method
CN114878172A (en) Method and system for extracting temperature signal characteristics of marine main engine cylinder
CN117331790A (en) Machine room fault detection method and device for data center
CN112763655A (en) Automatic quality control method, system and device
CN112632749A (en) Method and device for evaluating power generation performance of wind driven generator
CN111784537A (en) Power distribution network state parameter monitoring method and device and electronic equipment
CN117074852A (en) Power distribution network electric energy monitoring and early warning management method and system
CN116365707A (en) Intelligent power consumption monitoring system
CN116108376A (en) Monitoring system and method for preventing electricity stealing, electronic equipment and medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant