CN113110387A - Environment-friendly intelligent diagnosis system, method and storage medium - Google Patents
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Abstract
The application relates to an environmental protection intelligent diagnosis system, a method and a storage medium, which relate to the technical field of environmental protection inspection and comprise the following steps: a control module; the data acquisition module comprises a plurality of sensors and is used for acquiring and outputting production input signals or production output signals; the model building module is in control connection with the control module, is in signal connection with the data acquisition module and is used for generating a production model of the current assembly line; the data processing module is in control connection with the control module and generates production analog signals of the production line according to one or more production input signals or production output signals and the production model; the data analysis module comprises a comparison unit for comparing the production analog signal with the corresponding production input signal and production output signal and outputting a comparison result signal. The method and the device have the effects of realizing the production state of the real-time monitoring production line and improving the efficiency and accuracy of the environment-friendly checking work.
Description
Technical Field
The present application relates to the field of environmental protection inspection technologies, and in particular, to an environmental protection intelligent diagnosis system, method, and storage medium.
Background
With the development of social economy, the coordination of economic construction and environmental protection develops for the current consensus of people.
In order to perform environmental protection supervision on enterprise production, all levels of environmental protection department usually send related environmental protection inspectors to the enterprise production site for environmental protection inspection at variable time, and put forward a correction suggestion on production categories or equipment which do not meet the environmental protection requirements.
With respect to the related art in the above, the inventors consider that: individual production enterprises can easily discharge illegal production after the environmental protection checking personnel leave, or hide production interior screens or equipment which do not accord with the environmental protection regulation, so that the environmental protection checking personnel cannot obtain accurate and effective checking data, and the efficiency and accuracy of the environmental protection checking work are reduced.
Disclosure of Invention
In order to improve the efficiency and accuracy of the environmental protection checking work, the application provides an environmental protection intelligent diagnosis system, an environmental protection intelligent diagnosis method and a storage medium.
In a first aspect, the present application provides an environmental protection intelligent diagnosis system, which adopts the following technical scheme:
an environmental protection intelligent diagnostic system comprising:
the control module is configured to output a control signal according to a set program and/or temporarily input instruction data;
the data acquisition module comprises a plurality of sensors, is respectively in signal connection with the control module, and is used for acquiring and outputting a production input signal or a production output signal;
the model building module is in control connection with the control module, is in signal connection with the data acquisition module, receives the production input signal or the production output signal and generates a production model of the current assembly line;
the data processing module is in control connection with the control module, is in signal connection with the data acquisition module and the model building module, and generates production simulation signals of a production line according to one or more production input signals or production output signals and the production model; and the number of the first and second groups,
and the data analysis module comprises a comparison unit which is in control connection with the control module, is in signal connection with the data processing module, and is used for comparing the production analog signal with the corresponding production input signal and the production output signal and outputting a comparison result signal.
By adopting the technical scheme, the data acquisition module acquires production input signals and production output signals in the production line as a plurality of independent variables and dependent variables, and the model construction module constructs the production model of the current production line on the basis of normal production data; then the data processing module calls a current production input signal or a current production output signal of the production line and calculates and generates a production simulation signal based on the production model; and then, the data analysis module compares the production analog signal with the corresponding production input signal or production output signal and outputs a comparison result signal, so that the production state of the production assembly line is monitored in real time, and the efficiency and accuracy of the environmental protection checking work are improved.
Preferably, the sensors include at least a water flow sensor, an air flow sensor, and a heavy metal sensor.
Through adopting above-mentioned technical scheme, in the operation is checked in the environmental protection, sewage discharge, abandonment emission and heavy metal emission etc. are main detection items, therefore the sensor mainly includes these several kinds of sensors, and special production water line can adjust according to operating condition.
Preferably, the system further comprises a cloud server, wherein the cloud server comprises a communication module and a storage module, the communication module is used for interacting with the data acquisition module, and the storage module is used for storing various signals;
the model building module, the data processing module and the data analysis module are integrally arranged on the cloud server in an integrated mode.
By adopting the technical scheme, the cloud server can reduce the difficulty of development, operation and maintenance and the whole IT cost, and is more suitable for the use working condition of distributed deployment.
Preferably, the cloud server further comprises an alarm module, the alarm module is integrated in the cloud server, and the alarm module is in signal connection with the data analysis module and receives the comparison result signal;
and if the comparison result shows that the difference between the production analog signal and the production input signal and the difference between the production analog signal and the production output signal exceed a set range, the alarm module outputs a corresponding alarm signal.
By adopting the technical scheme, the alarm module outputs the corresponding alarm signal according to the comparison result signal, so that the working personnel can find out abnormal conditions in time.
Preferably, the system further comprises a data prediction module, which generates a prediction input signal and a prediction output signal within a set time period based on a set algorithm, the data prediction module is in signal connection with the data analysis module, the data processing module compares the prediction input signal with the production input signal, and the prediction output signal is compared with the production output signal and outputs result signals respectively.
By adopting the technical scheme, the production condition of the production line is predicted by the data prediction module.
Preferably, the production analog signal is configured as, but not limited to, an analog signal, a digital signal, and the display form is not limited to a data curve and a report.
Through adopting above-mentioned technical scheme, production analog signal is used for carrying out after all with production input signal, the production output signal who gathers, is convenient for the staff simultaneously and observes the difference between the two.
In a second aspect, the present application provides an environmental protection intelligent diagnosis method, which adopts the following technical scheme:
an environmental protection intelligent diagnosis method comprises the following steps:
constructing a production module, acquiring production input data and production input data of a normal production line, and generating a production model on the basis of the production input data and the production input data;
acquiring production data of a current assembly line, and acquiring input data and output data on the assembly line through a plurality of sensors;
generating a production simulation signal, and generating the production simulation signal of the current assembly line according to one or more collected production input data, production input data and production models;
and analyzing whether the production data of the current assembly line meets the requirements or not, comparing the production analog signal with the collected production input data and the production input data, and outputting a comparison result signal.
By adopting the technical scheme, a production model of the production line is constructed according to normal production data to generate a production analog signal; generating production simulation signals of other related items based on the production model according to the collected one or more production input data and production input data; the production analog signals are compared with the collected corresponding signals, and whether the production data of the current production line meet the requirements or not is judged, so that the production state of the production line is monitored in real time, and the efficiency and accuracy of the environment-friendly checking work are improved.
Preferably, the method further comprises the following steps:
and outputting an alarm signal, and outputting a corresponding alarm signal to the staff according to the comparison result signal for reminding the staff of the abnormal condition.
By adopting the technical scheme, when the production data is abnormal, the corresponding alarm signal is output to the staff according to the comparison result signal, and the staff is reminded of making corresponding measures.
Preferably, when whether the production data of the current assembly line meet the requirements is analyzed, a prediction input signal and a prediction output signal in a set time period are generated based on a set algorithm according to the past data;
the prediction input signal, the prediction output signal are compared with the production input data, and a result signal is output.
By adopting the technical scheme, when the production input signal and the production output signal meet the production model, whether the current production state is the normal production state or not is judged through the prediction input signal and the prediction output signal.
In a third aspect, the present application provides a storage medium, which adopts the following technical solutions:
a storage medium storing a computer program which, when executed by a processor, implements the steps of a method comprising:
constructing a production module, acquiring production input data and production input data of a normal production line, and generating a production model on the basis of the production input data and the production input data;
acquiring production data of a current assembly line, and acquiring input data and output data on the assembly line through a plurality of sensors;
generating a production simulation signal, and generating the production simulation signal of the current assembly line according to one or more collected production input data, production input data and production models;
and analyzing whether the production data of the current assembly line meets the requirements or not, comparing the production analog signal with the collected production input data and the production input data, and outputting a comparison result signal.
In summary, the present application includes at least one of the following beneficial technical effects:
1. acquiring a plurality of independent variables and dependent variables in the production line through a data acquisition module, and constructing a production model of the current production line by a model construction module on the basis of normal production data; then the data processing module calls a current production input signal or a current production output signal of the production line and calculates and generates a production simulation signal based on the production model; and then, the data analysis module compares the production analog signal with the corresponding production input signal or production output signal and outputs a comparison result signal, so that the production state of the production assembly line is monitored in real time, and the efficiency and accuracy of the environmental protection checking work are improved.
Drawings
FIG. 1 is a schematic structural diagram of a system according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a data analysis module of a system according to an embodiment of the present application;
fig. 3 is a schematic diagram of steps of a method according to an embodiment of the present application.
Reference numerals: 0. a cloud server; 1. a control module; 2. a data acquisition module; 21. a water flow sensor; 22. an airflow sensor; 23. a heavy metal sensor; 3. a model building module; 4. a data processing module; 5. a data analysis module; 51. a comparison unit; 6. an alarm module; 7. a data prediction module; 8. a communication module; 9. and a storage module.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiment of the application discloses an environment-friendly intelligent diagnosis system. Referring to fig. 1, the system mainly comprises a control module 1 for controlling the operation state of the system, a data acquisition module 2 arranged on the production line and used for producing input signals and output signals, a model construction module 3 for constructing a production model, a data processing module 4 capable of generating production analog signals according to the production model and collected partial data, a data analysis module 5 for analyzing according to the processing result of the data processing module 4, an alarm module 6 capable of reminding workers of abnormal conditions of the production line, and a data prediction module 7 for generating prediction input signals and prediction output signals.
In detail, the control module 1 is configured to output a control signal according to a set program and/or temporarily input instruction data, and the control module 1 may be a device carrying a program written according to a utility function in this embodiment.
In order to implement multipoint distributed data processing, in this embodiment, the control module 1, the model building module 3, the data processing module 4, the data analysis module 5, the alarm module 6, and the data prediction module 7 are all configured in the cloud server 0, so as to implement fast processing of data.
Further, in order to ensure normal processing of data, that is, to ensure normal operation of the system, a communication module 8 and a storage module 9 are further arranged in the cloud server 0, and the communication module 8 is used for forming interaction with the data acquisition module 2.
The storage module 9 may be configured as a memory, and is mainly used for storing various signals, or has functions of a memory such as buffering data to be calculated.
In order to gather the production data of assembly line, data acquisition module 2 includes a plurality of sensors, and the assembly line department is all arranged in to a plurality of sensors, mainly includes water flow sensor 21, airflow sensor 22 and heavy metal sensor 23 etc. specifically according to the product difference of assembly line production, increases and decreases different sensors. The detection pieces for detecting the number or weight of the products can be arranged according to different products, and detection signals are output to the control module 1.
The water flow sensor 21, the gas flow sensor 22, the heavy metal sensor 23 and the like are respectively in signal connection with the control module 1, and output corresponding production input signals or production output signals to be received by the control module 1.
The model building module 3 may be configured as an algorithm or the like, an apparatus or a program capable of building a model, or the like. The model building module 3 is in control connection with the control module 1 and is in signal connection with the data acquisition module 2; when the model building module 3 is used, the model building module receives a production input signal and a production output signal when the production line normally produces, and generates a production model of the current production line, wherein the production model can be a mathematical model or a chemical equation and the like.
The production models generated by different flow lines, as well as the production input signals and the production output signals during normal production, can be stored in the storage module 9.
The signal processing and analysis operations will be further described below.
The data processing module 4 is controlled by the corresponding control signal output by the control module 1, and in order to acquire the signal, the data processing module 4 is in signal connection with the data acquisition module 2 and the model construction module 3. During actual processing, the data processing module 4 obtains one or more critical production input signals or production output signals, generates production analog signals of other related items of the production line based on the production model of the corresponding production line, and stores the production analog signals in the storage module 9.
The production analog signal may be configured in this embodiment as, but not limited to, an analog signal, a digital signal, and the presentation form is not limited to a data curve and a report. The data curve is convenient for the staff to observe the production analog signal more directly perceivedly, can produce the data curve with production input signal, the production output signal who gathers with same form this moment. The report is conveniently input to the data analysis module 5.
Referring to fig. 2, the data analysis module 5 mainly includes a comparison unit 51, where the comparison unit 51 includes an analog comparator and a digital comparator, and the analog comparator and the digital comparator are respectively used for comparing the analog signal and the digital signal, and specifically, the corresponding comparator is selected according to the type of the collected production input signal and the production output signal.
The comparison unit 51 is in control connection with the control module 1 and is in signal connection with the data processing module 4, and mainly functions to compare the production analog signal with the production input signal and the production output signal of the corresponding item and output a comparison result signal, and different comparison result signals are generated in different production states.
Referring to fig. 1, the alarm module 6 is in signal connection with the data analysis module 5, receives the comparison result signal, and outputs different alarm signals according to the comparison result signal, for example, if the comparison result shows that the difference between the production analog signal and the production input signal, the production output signal exceeds the set range, the alarm module 6 outputs the corresponding alarm signal.
The alarm signal may be composed of an error code, and the error code is output to a set intelligent mobile terminal through the communication module 8, including but not limited to a smartphone of a worker, a tablet, and other terminals capable of receiving a corresponding signal.
The working principle of the data prediction module 7 is as follows: and generating a prediction input signal and a prediction output signal in a set time period based on a setting algorithm, wherein the setting algorithm mainly refers to a production model, and the set time period refers to a corresponding time period in a future cycle. The data prediction module 7 is mainly used for generating more probable production signals in a certain time period according to the past data.
Specifically, the data prediction module 7 is in signal connection with the data analysis module 5, the data processing module 4 compares the prediction input signal with the production input signal, compares the prediction output signal with the production output signal, and outputs result signals respectively.
And then the alarm module 6 can output different alarm signals according to the output result signals.
The implementation principle of the environment-friendly intelligent diagnosis system in the embodiment of the application is as follows: the data acquisition module 2 acquires production input signals and production output signals in the production flow line as a plurality of independent variables and dependent variables, and the model construction module 3 constructs a production model of the current flow line based on normal production data. And then the data processing module 4 calls the current production input signal or production output signal of the production line and calculates and generates a production simulation signal based on the production model. And then, the data analysis module 5 compares the production analog signal with the corresponding production input signal or production output signal and outputs a comparison result signal, and the alarm module 6 outputs a corresponding alarm signal according to the comparison result signal, so that the working personnel can find out abnormal conditions in time. Meanwhile, the production condition of the production line is predicted through the data prediction module 7, and whether the normal production range is not met or not is judged. Therefore, the production state of the production line can be monitored in real time, and the efficiency and accuracy of the environment-friendly checking work are improved.
The embodiment of the application also discloses an environment-friendly intelligent diagnosis method. Referring to fig. 3, the method includes the following steps:
and constructing a production module, acquiring production input data and production input data generated by a production line of the past normal production, and generating a production model on the basis of the production input data and the production input data. The production model may be a mathematical model or a chemical equation, etc.
The production data of the current assembly line is acquired, input data and output data on the assembly line are acquired through a plurality of sensors located on the assembly line, such as a water flow sensor 21, a gas flow sensor 22 and a heavy metal sensor 23, and production input signals and production output signals are generated.
And generating a production simulation signal, and generating the production simulation signal of the current assembly line according to the collected one or more key production input data, production input data and the constructed corresponding production model.
And analyzing whether the production data of the current assembly line meets the requirements or not, comparing the production analog signal with the collected production input data and the production input data, and outputting a comparison result signal.
And simultaneously generating a prediction input signal and a prediction output signal in a set time period according to the past data and based on the production model, wherein the prediction input signal and the prediction output signal are more likely to generate a production signal in a certain time period according to the past data.
And comparing the prediction input signal and the prediction output signal with the production input data and the production input data respectively, and outputting a comparison result signal.
And outputting an alarm signal, and outputting a corresponding alarm signal to a terminal which can receive the alarm signal after the staff according to different comparison result signals, so as to remind the staff of abnormal conditions. The terminal refers to a terminal capable of receiving corresponding signals, such as a smart phone and a tablet.
A storage medium storing a computer program which, when executed by a processor, performs the steps in the above-described method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile memory may include Read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, or the like. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. An environmental protection intelligent diagnostic system, comprising:
a control module (1) configured to output a control signal according to a set program and/or temporarily input instruction data;
the data acquisition module (2) comprises a plurality of sensors, is respectively in signal connection with the control module (1), and is used for acquiring and outputting a production input signal or a production output signal;
the model building module (3) is in control connection with the control module (1), is in signal connection with the data acquisition module (2), receives the production input signal or the production output signal and generates a production model of the current assembly line;
the data processing module (4) is in control connection with the control module (1), is in signal connection with the data acquisition module (2) and the model construction module (3), and generates production simulation signals of a production line according to one or more production input signals or production output signals and the production model; and the number of the first and second groups,
and the data analysis module (5) comprises a comparison unit (51) which is in control connection with the control module (1), is in signal connection with the data processing module (4), and is used for comparing the production analog signal with the corresponding production input signal and the production output signal and outputting a comparison result signal.
2. An environmentally friendly intelligent diagnostic system according to claim 1, wherein the sensors comprise at least a water flow sensor (21), an air flow sensor (22) and a heavy metal sensor (23).
3. The environmental-friendly intelligent diagnosis system according to claim 1, further comprising a cloud server (0), wherein the cloud server (0) comprises a communication module (8) and a storage module (9), the communication module (8) is used for interacting with the data acquisition module (2), and the storage module (9) is used for storing a plurality of signals;
the model building module (3), the data processing module (4) and the data analysis module (5) are integrally arranged on the cloud server (0).
4. The environmental-friendly intelligent diagnosis system according to claim 3, further comprising an alarm module (6), wherein the alarm module (6) is integrated in the cloud server (0), and the alarm module (6) is in signal connection with the data analysis module (5) and receives the comparison result signal;
and if the comparison result shows that the difference between the production analog signal and the production input signal and the difference between the production analog signal and the production output signal exceed a set range, the alarm module (6) outputs a corresponding alarm signal.
5. The environmental protection intelligent diagnosis system according to claim 4, further comprising a data prediction module (7) for generating a prediction input signal and a prediction output signal within a set time period based on a set algorithm, wherein the data prediction module (7) is in signal connection with the data analysis module (5), the data processing module (4) compares the prediction input signal with the production input signal, the prediction output signal is compared with the production output signal, and the result signals are respectively output.
6. The environmental protection intelligent diagnosis system according to claim 1, wherein the production analog signal is configured as but not limited to analog signal, digital signal, and the presentation form is not limited to data curve and report.
7. An environmental protection intelligent diagnosis method is characterized by comprising the following steps:
constructing a production module, acquiring production input data and production input data of a normal production line, and generating a production model on the basis of the production input data and the production input data;
acquiring production data of a current assembly line, and acquiring input data and output data on the assembly line through a plurality of sensors;
generating a production simulation signal, and generating the production simulation signal of the current assembly line according to one or more collected production input data, production input data and production models;
and analyzing whether the production data of the current assembly line meets the requirements or not, comparing the production analog signal with the collected production input data and the production input data, and outputting a comparison result signal.
8. The environmental-friendly intelligent diagnosis method according to claim 1, further comprising:
and outputting an alarm signal, and outputting a corresponding alarm signal to the staff according to the comparison result signal for reminding the staff of the abnormal condition.
9. The environmental-friendly intelligent diagnosis method as claimed in claim 1, wherein when analyzing whether the production data of the current production line meets the requirements, the method generates a prediction input signal and a prediction output signal within a set time period based on the past data and a set algorithm;
the prediction input signal, the prediction output signal are compared with the production input data, and a result signal is output.
10. A storage medium storing a computer program, characterized in that the computer program, when being executed by a processor, realizes the steps of the method of any of claims 7-9.
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Application publication date: 20210713 |