Environment-friendly power construction process data acquisition, processing and analysis system, equipment and medium

Abstract

The invention discloses an environment-friendly power construction process data acquisition, processing and analysis system, equipment and a medium, mainly relates to the technical field of environment-friendly power construction, and is used for solving the problems that environment-friendly data in the existing construction process mainly depends on manual data acquisition, the acquisition speed is relatively low, a construction site can change and the construction cost is low. Manual collection is difficult to fully cover, and the collected data cannot be effectively analyzed. Comprising the following steps: acquiring equipment names of a plurality of monitoring sensors corresponding to each monitoring area in the next day through an equipment placement terminal; acquiring real-time acquisition data uploaded by each monitoring sensor through a wireless communication mode; wherein the real-time acquisition data comprises the equipment name of the monitoring sensor; and generating a fitting curve corresponding to each monitoring sensor based on the real-time collected data, obtaining the trend of each fitting curve, and determining whether data abnormity occurs based on the trend of the fitting curve.

Description

Technical Field

[0001] The present application relates to the technical field of environmental protection power construction, and in particular to a data collection, processing and analysis system, equipment and medium for an environmental protection power construction process. Background Art

[0002] With the rapid development of social economy and the continuous growth of electricity demand, the construction of power engineering projects has sprung up like mushrooms after rain. However, in the traditional power engineering construction process, due to backward technology and poor management, there are a lot of environmental pollution and resource waste problems. The emission of pollutants such as noise, dust, and wastewater during the construction process not only seriously damages the surrounding ecological environment, but also has a great impact on the quality of life of nearby residents, which has aroused widespread social concern.

[0003] Faced with this grim situation, environmentally friendly power construction has gradually been advocated by the industry and the public. The core of environmentally friendly power construction is to conduct a full environmental assessment before construction and formulate an environmentally friendly construction plan. For example, during the construction process, pollutant emissions are controlled and measures such as noise reduction, dust reduction, and wastewater treatment are taken.

[0004] In the process of environmental protection power construction, in order to achieve the above goals, actual data collection and analysis are mainly carried out by construction supervisors. However, manual data collection is limited by the number of personnel and efficiency, and the collection speed is slow. In addition, the construction site will change during the construction process, and manual collection is difficult to fully cover. In addition, the data analysis process is mainly compared with the threshold data, which cannot effectively analyze the collected data.

[0005] Therefore, there is an urgent need for an environmental protection power construction process data collection, processing and analysis system, equipment and medium to solve the above problems. Summary of the invention

[0006] In response to the above-mentioned deficiencies in the prior art, the present application provides an environmental protection power construction process data collection, processing and analysis system, equipment and medium to solve the problems that the existing construction process environmental protection data mainly relies on manual collection, the collection speed is slow, the construction site will change, manual collection is difficult to fully cover, and the collected data cannot be effectively analyzed.

[0007] In a first aspect, the present application provides a system for collecting, processing and analyzing data during environmental protection power construction, the system comprising: The monitoring content determination module is used to obtain the power construction area, and divide the power construction area into several monitoring areas according to the monitoring range of the monitoring camera; obtain the daily monitoring video corresponding to each monitoring area, and determine the several monitoring categories corresponding to each monitoring area on the next day; wherein the monitoring categories at least include: noise monitoring category, sewage monitoring category, and dust pollution monitoring category; the monitoring equipment placement module is used to obtain the monitoring category corresponding to each monitoring area on the next day, and then determine the several monitoring sensors corresponding to the monitoring area on the next day; obtain the several monitoring sensors currently set in each monitoring area; and then determine the monitoring sensor adjustment information of each monitoring area; upload the specific location of the monitoring area and the monitoring sensor adjustment information corresponding to each specific location to the equipment placement terminal; the data analysis module is set in the construction site, and is used to obtain the device names of the several monitoring sensors corresponding to each monitoring area on the next day through the equipment placement terminal; obtain the real-time collection data uploaded by each monitoring sensor through wireless communication; wherein the real-time collection data contains the device name of the monitoring sensor; based on the real-time collection data, generate the fitting curve corresponding to each monitoring sensor, and obtain the trend of each fitting curve, and determine whether the data is abnormal based on the trend of the fitting curve.

[0008] In one implementation of the present application, the monitoring content determination module includes an image recognition unit, Used to obtain daily surveillance videos corresponding to each surveillance area, extract a number of surveillance images from the surveillance video based on a preset segmentation interval; encapsulate a number of surveillance images of each surveillance area into a data packet, and the name of the data packet is the preset unique number of the surveillance area; The data packets are distributed to several edge computing servers to detect whether there are drainage ditches and dust phenomena in the monitored area through the image recognition module in the edge computing servers; when drainage ditches appear, it is determined that the corresponding monitoring category for the next day includes the sewage monitoring category; when dust phenomena appear, it is determined that the corresponding monitoring category for the next day includes the dust pollution monitoring category.

[0009] In one implementation of the present application, the monitoring content determination module includes a noise recognition unit, Used to obtain daily surveillance videos corresponding to each surveillance area, extract audio data from the surveillance videos; encapsulate the audio data of each surveillance area into a data packet, and the name of the data packet is the preset unique number of the surveillance area; The data packets are distributed to several edge computing servers to detect whether noise occurs in the monitoring area through the noise recognition module in the edge computing servers; when noise occurs, it is determined that the corresponding monitoring category for the next day includes the noise monitoring category.

[0010] In one implementation of the present application, the monitoring device placement module includes a sensor determination unit, It is used to determine that the monitoring sensors corresponding to the monitoring area the next day include water quality detection sensors when the monitoring category includes the sewage monitoring category; it is used to determine that the monitoring sensors corresponding to the monitoring area the next day include dust detection sensors when the monitoring category includes the dust pollution monitoring category; it is used to determine that the monitoring sensors corresponding to the monitoring area the next day include noise detection sensors when the monitoring category includes the noise monitoring category.

[0011] In one implementation of the present application, the monitoring device placement module includes a sensor adjustment unit. Used to obtain the number of monitoring sensors corresponding to the monitoring area the next day; obtain the number of monitoring sensors currently set in each monitoring area; obtain the part of the number of monitoring sensors corresponding to the next day that does not exist in the number of monitoring sensors currently set, which is to add new monitoring sensors; obtain the part of the number of monitoring sensors currently set that does not exist in the number of monitoring sensors corresponding to the next day, which is to remove monitoring sensors; upload the newly added monitoring sensors and the removed monitoring sensors as monitoring sensor adjustment information to the equipment placement terminal.

[0012] In one implementation of the present application, the data analysis module includes a curve fitting unit. It is used to generate fitting curves corresponding to various monitoring sensors based on real-time collected data; wherein the fitting curve is a linear function curve: y=ax+b; wherein y represents real-time collected data, x represents time, a represents curve coefficient, and b represents curve constant.

[0013] In one implementation of the present application, the data analysis module includes an anomaly detection unit, Used to determine that the trend of the fitting curve is unchanged when a∈[preset constant -1, preset constant +1]; When a∈[- , when the preset constant is -1), the trend of the fitting curve is determined to be downward; When a∈(preset constant +1, + ], the trend of the fitting curve is determined to be rising; When the trend continues to decline or rise within the preset monitoring time period, it is determined that data anomaly occurs.

[0014] In one implementation of the present application, the data analysis module includes a visualization unit, Used to display the fitting curves corresponding to each monitoring sensor through a preset visual interface.

[0015] In a second aspect, the present application provides an environmental protection power construction process data collection, processing and analysis device, including: A processor; and a memory in communication with the processor; wherein the memory stores instructions executable by the processor, the instructions being executed by the processor to enable the processor to: Obtain the power construction area, and divide the power construction area into several monitoring areas according to the monitoring range of the monitoring camera; obtain the daily monitoring video corresponding to each monitoring area, and determine the monitoring category corresponding to each monitoring area on the next day; wherein the monitoring category at least includes: noise monitoring category, sewage monitoring category, and dust pollution monitoring category; obtain the monitoring category corresponding to each monitoring area on the next day, and then determine the monitoring sensor corresponding to the monitoring area on the next day; obtain the monitoring sensor currently set in each monitoring area; and then determine the monitoring sensor adjustment information of each monitoring area; upload the specific location of the monitoring area and the monitoring sensor adjustment information corresponding to each specific location to the equipment placement terminal; obtain the device name of the monitoring sensor corresponding to each monitoring area on the next day through the equipment placement terminal, and obtain the real-time collection data uploaded by each monitoring sensor through wireless communication; wherein the real-time collection data contains the device name of the monitoring sensor; based on the real-time collection data, generate the fitting curve corresponding to each monitoring sensor, and obtain the trend of each fitting curve, and determine whether the data is abnormal based on the trend of the fitting curve.

[0016] In a third aspect, the present application provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows: Obtain the power construction area, and divide the power construction area into several monitoring areas according to the monitoring range of the monitoring camera; obtain the daily monitoring video corresponding to each monitoring area, and determine the monitoring category corresponding to each monitoring area on the next day; wherein the monitoring category at least includes: noise monitoring category, sewage monitoring category, and dust pollution monitoring category; obtain the monitoring category corresponding to each monitoring area on the next day, and then determine the monitoring sensor corresponding to the monitoring area on the next day; obtain the monitoring sensor currently set in each monitoring area; and then determine the monitoring sensor adjustment information of each monitoring area; upload the specific location of the monitoring area and the monitoring sensor adjustment information corresponding to each specific location to the equipment placement terminal; obtain the device name of the monitoring sensor corresponding to each monitoring area on the next day through the equipment placement terminal, and obtain the real-time collection data uploaded by each monitoring sensor through wireless communication; wherein the real-time collection data contains the device name of the monitoring sensor; based on the real-time collection data, generate the fitting curve corresponding to each monitoring sensor, and obtain the trend of each fitting curve, and determine whether the data is abnormal based on the trend of the fitting curve.

[0017] Those skilled in the art can understand that the present application has at least the following beneficial effects: 1. The speed and efficiency of data collection are improved by replacing manual collection with an automated monitoring system. The use of monitoring cameras and sensors enables data to be collected in real time and continuously, reducing manual intervention and thus speeding up the process of data collection.

[0018] 2. Enhanced data coverage: The system divides the power construction area into several monitoring areas and sets corresponding monitoring sensors for each monitoring area to ensure full coverage of the construction site. In this way, even if the construction site changes, the monitoring sensors can be adjusted to maintain comprehensive monitoring, avoiding possible omissions during manual collection.

[0019] 3. Effective data analysis: The system’s built-in data analysis module can process and analyze the collected real-time data, generate fitting curves corresponding to each monitoring sensor, and obtain the trend of the curve. This helps to detect data anomalies in a timely manner and provide strong data support for environmental protection management during the construction process.

[0020] 4. Optimize monitoring sensor configuration: Through the monitoring equipment placement module, the system can automatically determine the monitoring sensors that need to be set up in each monitoring area according to the monitoring category of the next day, and generate monitoring sensor adjustment information. This helps to optimize the configuration of sensors, ensure that each monitoring area can be properly monitored, and reduce unnecessary sensor waste.

[0021] 5. Improve environmental management level: The application of this system helps to improve the environmental management level during power construction. Through real-time monitoring and data analysis, environmental problems can be discovered and dealt with in a timely manner, reducing the risk of environmental pollution and ecological damage. At the same time, the automation and intelligent characteristics of the system also reduce labor costs and improve work efficiency.

[0022] In summary, this application provides an environmentally friendly power construction process data collection, processing and analysis system, equipment and medium. Through automation and intelligent means, it solves the problems of slow data collection speed, incomplete coverage, ineffective analysis and other problems existing in the prior art, and provides technical support and guarantee for environmental protection management during power construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Some embodiments of the present disclosure are described below with reference to the accompanying drawings, in which: Figure 1 It is a schematic diagram of the internal structure of an environmental protection power construction process data collection, processing and analysis system provided in an embodiment of the present application.

[0024] Figure 2 It is a schematic diagram of the internal structure of an environmental protection power construction process data collection, processing and analysis device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] It should be understood by those skilled in the art that the embodiments described below are only preferred embodiments of the present disclosure, and do not mean that the present disclosure can only be implemented through the preferred embodiments. The preferred embodiments are only used to explain the technical principles of the present disclosure, and are not used to limit the protection scope of the present disclosure. Based on the preferred embodiments provided by the present disclosure, all other embodiments obtained by ordinary technicians in this field without creative work should still fall within the protection scope of the present disclosure.

[0026] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0027] The technical solution proposed in the embodiments of the present application is described in detail below with reference to the accompanying drawings.

[0028] This application Figure 1 The present application provides an environmental protection power construction process data collection, processing and analysis system. Figure 1 As shown, the system provided in the embodiment of the present application mainly includes: The monitoring content determination module 110 is used to obtain the power construction area, divide the power construction area into several monitoring areas according to the monitoring range of the monitoring camera; obtain the daily monitoring video corresponding to each monitoring area, and determine the several monitoring categories corresponding to each monitoring area on the next day.

[0029] It should be noted that the monitoring categories include at least: noise monitoring category, sewage monitoring category, and dust pollution monitoring category.

[0030] Regarding dividing the power construction area into several monitoring areas according to the monitoring range of the monitoring camera: the monitoring range of each monitoring camera can be determined by the camera parameter settings (such as viewing angle, focal length, installation height, etc.) and the actual installation position. The system can simulate the monitoring range of the camera based on these parameters using computer vision or geometric calculation methods, and map it to the map of the power construction area. After obtaining the monitoring range of the power construction area and the monitoring camera, the system can use algorithms (such as segmentation algorithms, covering algorithms, etc.) to divide the power construction area into several monitoring areas. These areas should meet the following conditions: each monitoring area should be completely covered by the monitoring range of one or more monitoring cameras, and the overlap between monitoring areas should be minimized to improve monitoring efficiency. In addition, the monitoring content determination module 110 is connected to the video storage device of the monitoring camera, and can obtain daily monitoring videos corresponding to each monitoring area. This connection relationship can be achieved through network transmission, local storage access, etc.

[0031] In addition, in order to reduce the operational burden caused by the centralized data processing of this system, this application can distribute the data to each preset edge computing server.

[0032] The distribution process can be: The daily monitoring video corresponding to each monitoring area is obtained through the image recognition unit in the monitoring content determination module 110, and a number of monitoring images are extracted from the monitoring video based on the preset segmentation interval; the several monitoring images of each monitoring area are encapsulated into a data packet, and the name of the data packet is the preset unique number of the monitoring area; the data packet is distributed to a number of edge computing servers to detect whether there are drainage ditches and dust phenomena in the monitoring area through the image recognition modules in the edge computing servers; when drainage ditches appear, it is determined that the corresponding monitoring category for the next day includes the sewage monitoring category; when dust phenomena appear, it is determined that the corresponding monitoring category for the next day includes the dust pollution monitoring category.

[0033] In addition, in order to avoid consuming more resources in processing video, the present application can extract audio and identify whether noise is present through the audio.

[0034] The process may be as follows: the noise identification unit in the monitoring content determination module 110 obtains the daily monitoring video corresponding to each monitoring area, and extracts audio data from the monitoring video; encapsulates the audio data of each monitoring area into a data packet, and the name of the data packet is a preset unique number of the monitoring area; distributes the data packet to several edge computing servers to detect whether noise occurs in the monitoring area through the noise identification module in the edge computing server; when noise occurs, determines that the corresponding monitoring category for the next day includes the noise monitoring category.

[0035] It is understandable to those skilled in the art that the monitoring content determination module 110 can accurately divide the power construction area into several monitoring areas according to the monitoring range of the monitoring camera. This ensures that each area can be effectively monitored, avoids monitoring blind spots, and thus improves the comprehensiveness and accuracy of monitoring. It is possible to obtain daily monitoring videos corresponding to each monitoring area, and determine the corresponding monitoring category for the next day based on actual conditions. This means that the system can dynamically adjust the monitoring focus according to changes in the construction progress and environmental protection requirements to ensure the pertinence and effectiveness of monitoring.

[0036] The monitoring equipment placement module 120 is used to obtain the monitoring category corresponding to each monitoring area on the next day, and then determine the number of monitoring sensors corresponding to the monitoring area on the next day; obtain the number of monitoring sensors currently set in each monitoring area; and then determine the monitoring sensor adjustment information of each monitoring area; upload the specific location of the monitoring area and the monitoring sensor adjustment information corresponding to each specific location to the equipment placement terminal 130.

[0037] It should be noted that the monitoring device placement module 120 is connected to the monitoring content determination module 110, and can obtain a number of monitoring sensors corresponding to the monitoring area the next day and a number of monitoring sensors currently set in each monitoring area.

[0038] The process of determining a number of monitoring sensors corresponding to the monitoring area the next day may be specifically as follows: Through the sensor determination unit in the monitoring equipment placement module 120, when the monitoring category includes the sewage monitoring category, it is determined that the monitoring sensors corresponding to the monitoring area the next day include the water quality detection sensors; when the monitoring category includes the dust pollution monitoring category, it is determined that the monitoring sensors corresponding to the monitoring area the next day include the dust detection sensors; when the monitoring category includes the noise monitoring category, it is determined that the monitoring sensors corresponding to the monitoring area the next day include the noise detection sensors.

[0039] The process of determining the monitoring sensor adjustment information of each monitoring area may be specifically as follows: The sensor adjustment unit in the monitoring device placement module 120 obtains a number of monitoring sensors corresponding to the monitoring area the next day; obtains a number of monitoring sensors currently set in each monitoring area; obtains a part of a number of monitoring sensors corresponding to the next day that does not exist in a number of monitoring sensors currently set, which is to add new monitoring sensors; obtains a part of a number of monitoring sensors currently set that does not exist in a number of monitoring sensors corresponding to the next day, which is to remove monitoring sensors; and uploads the newly added monitoring sensors and the removed monitoring sensors as monitoring sensor adjustment information to the device placement terminal 130.

[0040] It can be understood by those skilled in the art that the monitoring equipment placement module 120 uploads the specific location of the monitoring area and the corresponding sensor adjustment information to the equipment placement terminal 130, providing clear guidance for the staff. The process of equipment placement is simplified, human errors are reduced, and work efficiency is improved. In addition, the monitoring equipment placement module 120 can dynamically adjust the sensor configuration according to actual monitoring needs, so the system has greater flexibility and adaptability. This enables the system to easily cope with various changes in the construction process, such as adjustments to the construction progress, increased environmental protection requirements, etc.

[0041] The data analysis module 140 is arranged in the construction site, and is used to obtain the device names of several monitoring sensors corresponding to each monitoring area on the next day through the equipment placement terminal 130; obtain the real-time collection data uploaded by each monitoring sensor through wireless communication; wherein the real-time collection data includes the device name of the monitoring sensor; based on the real-time collection data, generate the fitting curve corresponding to each monitoring sensor, and obtain the trend of each fitting curve, and determine whether the data is abnormal based on the trend of the fitting curve.

[0042] It should be noted that the data analysis module 140 can establish a connection with each monitoring sensor through wireless communication to obtain the collected data uploaded by the sensor in real time. These data include the device name of the monitoring sensor and the real-time environmental parameters collected by the sensor (such as noise, air quality, water quality, etc.). The solution of "determining whether data anomalies occur based on the trend of the fitting curve" is that when the trend is flat, there is no anomaly, and when it rises or falls, there is an anomaly.

[0043] In addition, before generating the fitting curve, the data analysis module 140 may pre-process the raw data, for example, data cleaning (removing invalid or erroneous data), data normalization (converting data from different sensors to the same level for easy comparison), and data smoothing (reducing data fluctuations and highlighting trends).

[0044] In addition, the data analysis module 140 can generate a corresponding fitting curve using mathematical methods (such as linear regression, polynomial fitting, etc.) based on the real-time collected data of each monitoring sensor.

[0045] In addition, in order to simplify the analysis process of complex data, the curve can adopt a linear function curve.

[0046] As an example, the data analysis module 140 includes a curve fitting unit, which is used to generate a fitting curve corresponding to each monitoring sensor based on real-time collected data; wherein the fitting curve is a univariate linear function curve: y=ax+b; wherein y represents real-time collected data, x represents time, a represents the curve coefficient, and b represents the curve constant.

[0047] Among them, the scheme for abnormal analysis of a linear function curve can be: The anomaly detection unit in the data analysis module 140, When a∈[preset constant -1, preset constant +1], the trend of the fitting curve is determined to be unchanged; when a∈[- , preset constant -1), the trend of the fitting curve is determined to be downward; when a∈ (preset constant +1, + ], it is determined that the trend of the fitting curve is rising; when the trend continues to be falling or rising within the preset monitoring time period, it is determined that data anomaly occurs.

[0048] In addition, the data analysis module 140 includes a visualization unit for displaying the fitting curve corresponding to each monitoring sensor through a preset visualization interface.

[0049] The above is a method embodiment of the present application. Based on the same inventive concept, the present application embodiment also provides an environmental protection power construction process data collection, processing and analysis device. Figure 2 As shown, the device includes: a processor; and a memory, on which executable codes are stored. When the executable codes are executed, the processor executes as in the above embodiment: Obtain the power construction area, and divide the power construction area into several monitoring areas according to the monitoring range of the monitoring camera; obtain the daily monitoring video corresponding to each monitoring area, and determine the monitoring category corresponding to each monitoring area on the next day; wherein the monitoring category at least includes: noise monitoring category, sewage monitoring category, and dust pollution monitoring category; obtain the monitoring category corresponding to each monitoring area on the next day, and then determine the monitoring sensor corresponding to the monitoring area on the next day; obtain the monitoring sensor currently set in each monitoring area; and then determine the monitoring sensor adjustment information of each monitoring area; upload the specific location of the monitoring area and the monitoring sensor adjustment information corresponding to each specific location to the equipment placement terminal; obtain the device name of the monitoring sensor corresponding to each monitoring area on the next day through the equipment placement terminal, and obtain the real-time collection data uploaded by each monitoring sensor through wireless communication; wherein the real-time collection data contains the device name of the monitoring sensor; based on the real-time collection data, generate the fitting curve corresponding to each monitoring sensor, and obtain the trend of each fitting curve, and determine whether the data is abnormal based on the trend of the fitting curve.

[0050] In addition, it should be noted that the equipment placement terminal corresponds to the terminal of the maintenance personnel. The maintenance personnel adjust the monitoring sensors in each monitoring area according to the monitoring sensor adjustment information.

[0051] In addition, the embodiment of the present application further provides a non-volatile computer storage medium, on which executable instructions are stored. When the executable instructions are executed, the following are implemented: Obtain the power construction area, and divide the power construction area into several monitoring areas according to the monitoring range of the monitoring camera; obtain the daily monitoring video corresponding to each monitoring area, and determine the monitoring category corresponding to each monitoring area on the next day; wherein the monitoring category at least includes: noise monitoring category, sewage monitoring category, and dust pollution monitoring category; obtain the monitoring category corresponding to each monitoring area on the next day, and then determine the monitoring sensor corresponding to the monitoring area on the next day; obtain the monitoring sensor currently set in each monitoring area; and then determine the monitoring sensor adjustment information of each monitoring area; upload the specific location of the monitoring area and the monitoring sensor adjustment information corresponding to each specific location to the equipment placement terminal; obtain the device name of the monitoring sensor corresponding to each monitoring area on the next day through the equipment placement terminal, and obtain the real-time collection data uploaded by each monitoring sensor through wireless communication; wherein the real-time collection data contains the device name of the monitoring sensor; based on the real-time collection data, generate the fitting curve corresponding to each monitoring sensor, and obtain the trend of each fitting curve, and determine whether the data is abnormal based on the trend of the fitting curve.

[0052] So far, the technical solutions of the present disclosure have been described in combination with the above multiple embodiments, but it is easy for those skilled in the art to understand that the protection scope of the present disclosure is not limited to these specific embodiments. Without departing from the technical principles of the present disclosure, those skilled in the art can split and combine the technical solutions in the above-mentioned various embodiments, and can also make equivalent changes or replacements to the relevant technical features. Any changes, equivalent replacements, improvements, etc. made within the technical concept and / or technical principle of the present disclosure will fall within the protection scope of the present disclosure.

Claims

1. A data collection, processing and analysis system for environmental protection power construction process, characterized in that: The system comprises: The monitoring content determination module is used to obtain the power construction area, and divide the power construction area into several monitoring areas according to the monitoring range of the monitoring camera; obtain the daily monitoring video corresponding to each monitoring area, and determine several monitoring categories corresponding to each monitoring area on the next day; wherein the monitoring categories at least include: noise monitoring category, sewage monitoring category, and dust pollution monitoring category; The monitoring equipment placement module is used to obtain the monitoring category corresponding to each monitoring area on the next day, and then determine the number of monitoring sensors corresponding to the monitoring area on the next day; obtain the number of monitoring sensors currently set in each monitoring area; and then determine the monitoring sensor adjustment information of each monitoring area; upload the specific location of the monitoring area and the monitoring sensor adjustment information corresponding to each specific location to the equipment placement terminal; The data analysis module is set up in the construction site and is used to obtain the device names of several monitoring sensors corresponding to each monitoring area on the next day through the equipment placement terminal; obtain the real-time collection data uploaded by each monitoring sensor through wireless communication; wherein the real-time collection data includes the device name of the monitoring sensor; based on the real-time collection data, generate the fitting curve corresponding to each monitoring sensor, and obtain the trend of each fitting curve, and determine whether the data is abnormal based on the trend of the fitting curve.

2. The environmental protection power construction process data acquisition, processing and analysis system according to claim 1 is characterized in that: The monitoring content determination module includes an image recognition unit, Used to obtain daily surveillance videos corresponding to each surveillance area, extract a number of surveillance images from the surveillance video based on a preset segmentation interval; encapsulate a number of surveillance images of each surveillance area into a data packet, and the name of the data packet is the preset unique number of the surveillance area; Distribute data packets to several edge computing servers to detect whether drainage ditches and dust are present in the monitoring area through image recognition modules in the edge computing servers; When a drainage ditch appears, it is determined that the corresponding monitoring category for the next day includes the sewage monitoring category; when dust occurs, it is determined that the corresponding monitoring category for the next day includes the dust pollution monitoring category.

3. The environmental protection power construction process data acquisition, processing and analysis system according to claim 1 is characterized in that: The monitoring content determination module includes a noise recognition unit, Used to obtain daily surveillance videos corresponding to each surveillance area, extract audio data from the surveillance videos; encapsulate the audio data of each surveillance area into a data packet, and the name of the data packet is the preset unique number of the surveillance area; The data packets are distributed to several edge computing servers to detect whether noise occurs in the monitoring area through the noise recognition module in the edge computing servers; when noise occurs, it is determined that the corresponding monitoring category for the next day includes the noise monitoring category.

4. The environmental protection power construction process data acquisition, processing and analysis system according to claim 1 is characterized in that: The monitoring device placement module includes a sensor determination unit, It is used to determine that the monitoring sensors corresponding to the monitoring area the next day include water quality detection sensors when the monitoring category includes the sewage monitoring category; it is used to determine that the monitoring sensors corresponding to the monitoring area the next day include dust detection sensors when the monitoring category includes the dust pollution monitoring category; it is used to determine that the monitoring sensors corresponding to the monitoring area the next day include noise detection sensors when the monitoring category includes the noise monitoring category.

5. The environmental protection power construction process data acquisition, processing and analysis system according to claim 1 is characterized in that: The monitoring equipment placement module includes a sensor adjustment unit, Used to obtain the number of monitoring sensors corresponding to the monitoring area the next day; obtain the number of monitoring sensors currently set in each monitoring area; obtain the part of the number of monitoring sensors corresponding to the next day that does not exist in the number of monitoring sensors currently set, which is to add new monitoring sensors; obtain the part of the number of monitoring sensors currently set that does not exist in the number of monitoring sensors corresponding to the next day, which is to remove monitoring sensors; upload the newly added monitoring sensors and the removed monitoring sensors as monitoring sensor adjustment information to the equipment placement terminal.

6. The environmental protection power construction process data acquisition, processing and analysis system according to claim 1 is characterized in that: The data analysis module includes a curve fitting unit, It is used to generate fitting curves corresponding to various monitoring sensors based on real-time collected data; wherein the fitting curve is a linear function curve: y=ax+b; wherein y represents real-time collected data, x represents time, a represents curve coefficient, and b represents curve constant.

7. The environmental protection power construction process data acquisition, processing and analysis system according to claim 6 is characterized in that: The data analysis module includes an anomaly detection unit, Used to determine that the trend of the fitting curve is unchanged when a∈[preset constant -1, preset constant +1]; When a∈[- , when the preset constant is -1), the trend of the fitting curve is determined to be downward; When a∈(preset constant +1, + ], the trend of the fitting curve is determined to be rising; When the trend continues to decline or rise within the preset monitoring time period, it is determined that data anomaly occurs.

8. The environmental protection power construction process data acquisition, processing and analysis system according to claim 1 is characterized in that: The data analysis module includes a visualization unit, Used to display the fitting curves corresponding to each monitoring sensor through a preset visual interface.

9. An environmental protection power construction process data collection, processing and analysis device, characterized in that: include: processor; as well as, a memory communicatively coupled to the processor; in The memory stores instructions executable by the processor, the instructions being executed by the processor to enable the processor to: Obtain the power construction area, and divide the power construction area into several monitoring areas according to the monitoring range of the monitoring camera; Obtain daily monitoring videos corresponding to each monitoring area, and determine the monitoring category corresponding to each monitoring area on the next day; wherein the monitoring category includes at least: noise monitoring category, sewage monitoring category, and dust pollution monitoring category; Obtain the monitoring category corresponding to each monitoring area on the next day, and then determine the monitoring sensor corresponding to the monitoring area on the next day; obtain the monitoring sensor currently set for each monitoring area; and then determine the monitoring sensor adjustment information for each monitoring area; upload the specific location of the monitoring area and the monitoring sensor adjustment information corresponding to each specific location to the device placement terminal; Through the device placement terminal, the device name of the monitoring sensor corresponding to each monitoring area on the next day is obtained, and the real-time collection data uploaded by each monitoring sensor is obtained through wireless communication; wherein the real-time collection data includes the device name of the monitoring sensor; based on the real-time collection data, the fitting curve corresponding to each monitoring sensor is generated, and the trend of each fitting curve is obtained, and based on the trend of the fitting curve, it is determined whether the data is abnormal.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to: Obtain the power construction area, and divide the power construction area into several monitoring areas according to the monitoring range of the monitoring camera; obtain the daily monitoring video corresponding to each monitoring area, and determine the monitoring category corresponding to each monitoring area on the next day; wherein the monitoring categories at least include: noise monitoring category, sewage monitoring category, and dust pollution monitoring category; Obtain the monitoring category corresponding to each monitoring area on the next day, and then determine the monitoring sensor corresponding to the monitoring area on the next day; obtain the monitoring sensor currently set for each monitoring area; and then determine the monitoring sensor adjustment information for each monitoring area; upload the specific location of the monitoring area and the monitoring sensor adjustment information corresponding to each specific location to the device placement terminal; Through the device placement terminal, the device name of the monitoring sensor corresponding to each monitoring area on the next day is obtained, and the real-time collection data uploaded by each monitoring sensor is obtained through wireless communication; wherein the real-time collection data includes the device name of the monitoring sensor; based on the real-time collection data, the fitting curve corresponding to each monitoring sensor is generated, and the trend of each fitting curve is obtained, and based on the trend of the fitting curve, it is determined whether the data is abnormal.

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