A method and system for detecting environmental data based on artificial intelligence

Abstract

The present invention proposes an artificial intelligence-based environmental data detection method and system, which specifically include extracting features from environmental data to be detected collected by collection nodes deployed at different communication data, analyzing and processing the extracted features to determine whether there is an abnormality. If an abnormality exists, the abnormal data is processed by an artificial intelligence algorithm. If no abnormality exists, intelligent adjustment and control of the nodes is implemented based on the artificial intelligence algorithm, thereby realizing a dynamic detection process of environmental data. The dynamic detection process of the present invention not only sets permissions for abnormal data but also dynamically adjusts based on data information of different nodes, thereby realizing energy consumption control of nodes, and ultimately achieving the dual effects of secure data transmission and energy saving of nodes.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to an environmental data detection method and system based on artificial intelligence. Background Art

[0002] In recent years, with the development of modern industrial production technology and the increasing innovation of information and communication technology, people's quality of life and convenience of life have been greatly improved. People's requirements for their living environment and living environment are also constantly improving. However, the rapid development of the times has brought about environmental pollution problems that cannot be ignored. Therefore, it is becoming more and more important to detect and analyze environmental data in a timely manner.

[0003] The evolution of communication technology has led to the rapid development of mobile Internet. In a real-time monitoring environment, a large amount of data collection is essential, and fast data transmission is the only way to ensure data timeliness. The characteristics of the fifth-generation mobile communication technology currently under development and promotion perfectly meet the needs of real-time environmental monitoring. Features such as ultra-high transmission rate, ultra-low latency, and massive links will be one of the important technical supports for promoting real-time environmental monitoring. In the existing technology, although there are many solutions for environmental data detection, few studies involve energy consumption problems of sensors, communication equipment and other devices during environmental data detection. How to effectively detect environmental data while improving the service life of devices has become the focus of current research in the field of communications. Summary of the invention

[0004] In order to solve the above technical problems, the present invention proposes an environmental data detection method and system based on artificial intelligence. By introducing an environmental data detection process that integrates intelligent data collection, transmission, analysis and storage under an artificial intelligence mode, environmental data can be used to achieve timely early warning while effectively improving the service life of the device, thereby providing effective support for the deployment of communication networks and the safe operation of the network.

[0005] According to the purpose of the present invention, the present invention proposes an environmental data detection method based on artificial intelligence, the method comprising:

[0006] Acquire the environmental data to be detected in real time, extract the state characteristics of the environmental data to be detected, and determine whether there is an abnormality in the environmental data to be detected. If there is an abnormality, extract the processing authority characteristics according to the abnormality type to perform the abnormality processing according to the corresponding authority characteristics; if there is no abnormality, extract the state characteristics of the environmental data to be detected to intelligently adjust the working state of the collection node according to the collection node position of different data to be detected and the preset matching rules, so as to realize dynamic detection of environmental data.

[0007] As a preferred solution of the present invention, the environmental data to be detected includes one or more of the environmental data set at the node location of the communication base station room, the environmental data at the node location of the BBU, the environmental data at the node location of the RRU, and the environmental data at the node location of the Internet data center IDC room.

[0008] As a preferred solution of the present invention, the state characteristics of the environmental data to be detected include collection node location characteristics carried by the environmental data to be detected, environmental data authority characteristics, and environmental data work characteristics.

[0009] As a preferred solution of the present invention, the steps of extracting the state characteristics of the environmental data to be detected, judging whether there is an abnormality in the environmental data to be detected, and if there is an abnormality, extracting the processing permission characteristics according to the abnormality type to perform the abnormality processing according to the corresponding permission characteristics are specifically as follows: extracting the acquisition node position characteristics in the state characteristics of the environmental data to be detected and addressing them; if the access address corresponding to the acquisition node position characteristics is not matched, temporarily storing the environmental data to be detected; if the access address is matched, extracting the environmental data permission characteristics of the environmental data to be detected and performing permission feature matching, extracting the environmental data working characteristics based on different permission feature matching results, judging whether there is an abnormality in the environmental data to be detected according to the environmental data working characteristics, and if there is an abnormality, processing the abnormal data according to different permission characteristics.

[0010] As a preferred solution of the present invention, the step of discarding the environmental data to be detected if the access address corresponding to the acquisition node location feature is not matched also includes sending a request message based on the environmental data based on the acquisition node location feature, and if a response message based on the request message is received, extracting the environmental data features in the response message and matching them with the temporarily stored environmental data, and if they are consistent, extracting the access address data carried in the response message, and entering the step of extracting and matching the environmental data authority features of the data to be detected while storing or updating the access address data.

[0011] As a preferred solution of the present invention, the step of sending a request message based on environmental data based on the location characteristics of the acquisition node also includes discarding the temporarily stored environmental data to be detected if no response message is received within a first preset time range, or if an error is confirmed in sending the environmental data to be detected after receiving the response message.

[0012] As a preferred solution of the present invention, the step of extracting the state characteristics of the environmental data to be detected and intelligently adjusting the working state of the collection node according to the collection node positions of different data to be detected and the preset matching rules is specifically: extracting the collection node position characteristics in the state characteristics of the environmental data to be detected, and judging whether the working state of the environmental data to be detected within a second preset time range matches the preset matching rules; if they match, intelligently adjusting the working state of the collection node to be the same as the matching rules; if they do not match, continuing to maintain the initial working state of the collection node.

[0013] As a preferred solution of the present invention, it is determined whether the working status of the environmental data to be detected within the second preset time range matches the preset matching rule. If it matches, the step of intelligently adjusting the working status of the acquisition node to be the same as the matching rule includes pre-setting the matching rule, which includes pre-stored acquisition node data to be revoked. When it is determined that the acquisition node will be revoked within the second preset time range, the environmental data to be detected is discarded.

[0014] As a preferred solution of the present invention, it is determined whether the working status of the environmental data to be detected within the second preset time range matches the preset matching rule. If it matches, the step of intelligently adjusting the working status of the acquisition node to be the same as the matching rule includes pre-setting the matching rule, which includes the working status repetition rate data of the pre-stored environmental data. When there is no data in the environmental data to be detected within the second preset time range that matches the working status repetition rate data of the pre-stored environmental data, the environmental data to be detected is discarded.

[0015] According to the purpose of the present invention, the present invention also proposes an artificial intelligence-based environmental data detection system, the system comprising: a server and one or more collection nodes deployed at different collection locations, wherein:

[0016] The server is used to obtain the environmental data to be detected in real time, extract the state characteristics of the environmental data to be detected, and determine whether there is an abnormality in the environmental data to be detected. If there is an abnormality, extract the processing authority characteristics according to the abnormality type to perform abnormal processing according to the corresponding authority characteristics. If there is no abnormality, extract the state characteristics of the environmental data to be detected to intelligently adjust the working state of the collection node according to the collection node position of different data to be detected and the preset matching rules, so as to realize dynamic detection of environmental data;

[0017] The collection node is used to collect and send the environmental data to be detected to the server in real time, receive a request message from the server, send a response message to the server based on the request message, and automatically shut down or wake up the working state after receiving the intelligent adjustment message from the server.

[0018] The present invention proposes an artificial intelligence-based environmental data detection method and system, which specifically include extracting features from environmental data to be detected collected by collection nodes deployed at different communication data, analyzing and processing the extracted features to determine whether there are abnormalities. If there are abnormalities, the abnormal data are processed through an artificial intelligence algorithm. If there are no abnormalities, intelligent adjustment and control of the nodes are implemented based on the artificial intelligence algorithm, thereby realizing a dynamic detection process of environmental data. The dynamic detection process of the present invention not only sets permissions for abnormal data but also dynamically adjusts based on data information of different nodes, thereby realizing energy consumption control of nodes, and ultimately achieving the dual effects of secure data transmission and energy saving of nodes. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of the artificial intelligence-based environmental data detection method proposed in the present invention. DETAILED DESCRIPTION

[0020] For ease of understanding, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] like Figure 1 As shown, an environmental data detection method based on artificial intelligence, the method specifically includes the following contents:

[0022] Step S1. Acquire the environmental data to be detected in real time, and extract the state characteristics of the environmental data to be detected.

[0023] In the existing communication network environment, the sources of environmental data mainly include communication rooms set up outdoors, remote base stations such as BBU and RRU set up to expand the communication coverage, and Internet data center IDC rooms, etc., and of course, environmental data collection under other network architectures. In fact, the safe operation of the communication network also includes the laying of optical fiber routing, indoor base station WLAN, etc. The present invention does not make specific restrictions on the specific data source. The purpose of the present invention is to collect environmental data based on different locations for analysis, and the specific source of the data is not specifically limited.

[0024] In this embodiment, the environmental data is collected by deploying smart sensors. As mentioned above, the environmental data to be detected in this embodiment includes one or more of the environmental data set at the node location of the communication base station room, the environmental data at the node location of the BBU, the environmental data at the node location of the RRU, and the environmental data at the node location of the Internet data center IDC room. Of course, the environmental data can also be collected according to the deployment of smart sensors in optical fiber routing or WLAN-based indoor base stations, and no specific limitation is made without invention.

[0025] In the actual deployment of smart sensors, when using wireless sensor networks to monitor the environment, we must face the situation of wide monitoring range, harsh environmental climate, long-term unattended operation, and nodes being easily captured and used. Therefore, when designing the nodes of wireless sensor networks, we must focus on the following factors:

[0026] (1) Node design cost In environmental monitoring, in order to better monitor the environment being measured, a large number of different types of sensor nodes are often required, so the cost of a single node will affect the funding of the entire project.

[0027] (2) Node size problem Due to the complexity of the environment, the size of the node should be minimized in the design of wireless sensor network nodes. Therefore, when choosing node chips, try to choose chips with high integration.

[0028] (3) Lower energy consumption Since nodes work in a harsh environment where they are unattended for a long time, they have higher requirements on the energy consumption of nodes. This requires us to design a more flexible routing strategy to balance the remaining energy of each node, thereby increasing the survival time of the entire network.

[0029] (4) Improving reliability In harsh environments, climate change and some non-human controllable factors have put forward higher requirements on the reliability of sensor networks and nodes.

[0030] (5) Data transmission security Compared with wired networks, wireless networks are susceptible to interception. Wireless sensor network nodes are deployed in complex environments such as battlefield monitoring for a long time, and are inevitably captured and used by the enemy. In addition, node computing and storage resources are very limited. Therefore, it is necessary to study a group key management solution suitable for the sensor node environment.

[0031] In this embodiment, the state characteristics of the environmental data to be detected include the location characteristics of the collection node carried by the environmental data to be detected, the environmental data authority characteristics, and the environmental data working characteristics.

[0032] Step S2. Determine whether there is an anomaly in the environmental data to be detected. If there is an anomaly, extract the processing authority feature according to the anomaly type to perform the anomaly processing according to the corresponding authority feature. If there is no anomaly, extract the state feature of the environmental data to be detected to intelligently adjust the working state of the collection node according to the collection node position of different data to be detected and the preset matching rules to realize dynamic detection of environmental data.

[0033] As mentioned above, the data to be detected of the present invention is different according to the different actual settings of the collection node position, and the data collected is also different. Of course, each judgment criterion based on environmental data is also different. In this embodiment, the step of judging whether there is an abnormality in the environmental data to be detected is specifically to extract the collection node position feature in the state feature of the environmental data to be detected and address it. If the access address corresponding to the collection node position feature is not matched, the environmental data to be detected is temporarily stored; if the access address is matched, the environmental data permission feature of the environmental data to be detected is extracted and permission feature matching is performed, and the environmental data working feature is extracted based on different permission feature matching results. According to the environmental data working feature, it is judged whether there is an abnormality in the environmental data to be detected. If it is abnormal, the abnormal data is processed according to different permission features. In this embodiment, the different possible sources of the data to be detected will affect the actual data processing authority. In the actual network working environment, not all environmental data can be disclosed to the operation and maintenance personnel. Some data are related to security, and it is necessary to set corresponding viewing or processing permissions, such as the working status environmental data of related equipment in the communication room, or some environmental data generated by some important equipment in the IDC room. Some cannot be disclosed at will, which requires setting corresponding permissions when processing these data. The process of identifying these data, the present invention starts from the data source, and gives some special environmental data access addresses. Only data that meets the corresponding access address will be processed by the corresponding authority, otherwise it may be directly discarded. The data processing process is also an important part of ensuring data security.

[0034] In this embodiment, if the access address corresponding to the acquisition node location feature is not matched, the step of discarding the environment data to be detected also includes sending a request message based on the environment data based on the acquisition node location feature, and if a response message based on the request message is received, extracting the environment data features in the response message and matching them with the temporarily stored environment data. If they are consistent, extracting the access address data carried in the response message, and entering the step of extracting and matching the environment data authority features of the data to be detected while storing or updating the access address data.

[0035] In this embodiment, the step of sending a request message based on environmental data based on the location characteristics of the acquisition node also includes discarding the temporarily stored environmental data to be detected if no response message is received within a first preset time range, or if an error is confirmed in sending the environmental data to be detected after receiving the response message.

[0036] In this embodiment, the step of extracting the state characteristics of the environmental data to be detected and intelligently adjusting the working state of the collection node according to the collection node positions of different data to be detected and the preset matching rules is specifically as follows: extracting the collection node position characteristics in the state characteristics of the environmental data to be detected, and judging whether the working state of the environmental data to be detected within a second preset time range matches the preset matching rules; if they match, intelligently adjusting the working state of the collection node to be the same as the matching rules; if they do not match, continuing to maintain the initial working state of the collection node.

[0037] In this embodiment, it is determined whether the working status of the environmental data to be detected within the second preset time range matches the preset matching rule. If it matches, the step of intelligently adjusting the working status of the acquisition node to be the same as the matching rule includes pre-setting the matching rule, which includes pre-stored acquisition node data to be revoked. When it is determined that the acquisition node will be revoked within the second preset time range, the environmental data to be detected is discarded.

[0038] In this embodiment, it is determined whether the working status of the environmental data to be detected within the second preset time range matches the preset matching rule. If it matches, the step of intelligently adjusting the working status of the acquisition node to be the same as the matching rule includes pre-setting the matching rule, which includes the working status repetition rate data of the pre-stored environmental data. When there is no data matching the working status repetition rate data of the pre-stored environmental data in the environmental data to be detected within the second preset time range, the environmental data to be detected is discarded.

[0039] As mentioned above, in the present invention, the matching rules are set to be intelligently adjusted according to the working status of the actual acquisition node. In the network operation environment, the actual acquisition node may be adjusted due to the working environment, address change, actual work needs, etc. Some acquisition nodes may be discarded at any time, but they will continue to work before being discarded. These data may not be important to the server. The scheme set by the present invention can solve these problems very well. At the same time, the intelligent node working status adjustment includes within the preset position area, if the data collected by the sensor acquisition node is repeated or the environmental data has been at a good level within a certain period of time, the node can be adjusted, such as selectively shutting down the node for repeated data collection, or temporarily putting the sensors of some nodes in a dormant state, thereby achieving a good energy-saving effect.

[0040] According to the purpose of the present invention, the present invention also proposes an artificial intelligence-based environmental data detection system, the system comprising: a server and one or more collection nodes deployed at different collection locations, wherein:

[0041] The server is used to obtain the environmental data to be detected in real time, extract the state characteristics of the environmental data to be detected, and determine whether there is an abnormality in the environmental data to be detected. If there is an abnormality, extract the processing authority characteristics according to the abnormality type to perform abnormal processing according to the corresponding authority characteristics. If there is no abnormality, extract the state characteristics of the environmental data to be detected to intelligently adjust the working state of the collection node according to the collection node position of different data to be detected and the preset matching rules, so as to realize dynamic detection of environmental data;

[0042] The collection node is used to collect and send the environmental data to be detected to the server in real time, receive a request message from the server, send a response message to the server based on the request message, and automatically shut down or wake up the working state after receiving the intelligent adjustment message from the server.

[0043] It is obvious to those skilled in the art that the embodiments of the present invention are not limited to the details of the above exemplary embodiments, and that the embodiments of the present invention can be implemented in other specific forms without departing from the spirit or basic features of the embodiments of the present invention. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-restrictive, and the scope of the embodiments of the present invention is limited by the attached claims rather than the above description, so it is intended to include all changes that fall within the meaning and scope of the equivalent elements of the claims in the embodiments of the present invention. Any figure mark in the claims should not be regarded as limiting the claims involved. In addition, it is obvious that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units, modules or devices stated in the system, device or terminal claims can also be implemented by the same unit, module or device through software or hardware. The words first, second, etc. are used to indicate names, and do not indicate any particular order.

[0044] Finally, it should be noted that the above implementation modes are only used to illustrate the technical solutions of the embodiments of the present invention and are not intended to limit them. Although the embodiments of the present invention have been described in detail with reference to the above preferred implementation modes, those skilled in the art should understand that the technical solutions of the embodiments of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An artificial intelligence-based environmental data detection method, characterized in that: The method comprises: Obtain the environmental data to be tested in real time; Extracting state characteristics of the environmental data to be detected, including location characteristics of acquisition nodes carried by the environmental data to be detected, environmental data authority characteristics, and environmental data working characteristics; Determine whether there is an abnormality in the environmental data to be detected. If there is an abnormality, extract and process permission features according to the abnormality type to perform abnormal processing according to the corresponding permission features, specifically: extract the acquisition node position features in the state features of the environmental data to be detected and address them. If the access address corresponding to the acquisition node position features is not matched, temporarily store the environmental data to be detected, send a request message based on the environmental data based on the acquisition node position features, if a response message based on the request message is received, extract the environmental data features in the response message, and match them with the temporarily stored environmental data. If they are consistent, extract the access address data carried in the response message, and enter the step of extracting and matching the environmental data permission features of the data to be detected while storing or updating the access address data; if the access address is matched, extract the environmental data permission features of the environmental data to be detected and perform permission feature matching, extract the environmental data working features based on different permission feature matching results, and determine whether there is an abnormality in the environmental data to be detected according to the environmental data working features. If there is an abnormality, process the abnormal data according to different permission features; If there is no abnormality, the state characteristics of the environmental data to be detected are extracted to intelligently adjust the working state of the collection node according to the collection node positions of different data to be detected and the preset matching rules, so as to realize dynamic detection of environmental data.

2. The environmental data detection method according to claim 1, characterized in that: The environmental data to be detected includes one or more of environmental data set at a node position of a communication base station room, environmental data at a node position of a BBU, environmental data at a node position of an RRU, and environmental data at a node position of an Internet data center (IDC) room.

3. The environmental data detection method according to claim 2, characterized in that: The step of sending a request message based on environmental data based on the location characteristics of the acquisition node also includes discarding the temporarily stored environmental data to be detected if no response message is received within a first preset time range, or if an error is confirmed in sending the environmental data to be detected after receiving the response message.

4. The environmental data detection method according to claim 3, characterized in that: The step of extracting the state characteristics of the environmental data to be detected and intelligently adjusting the working state of the collection node according to the collection node positions of different data to be detected and the preset matching rules is specifically as follows: extracting the collection node position characteristics in the state characteristics of the environmental data to be detected, judging whether the working state of the environmental data to be detected within a second preset time range matches the preset matching rules; if so, intelligently adjusting the working state of the collection node to be the same as the matching rules; if not, continuing to maintain the initial working state of the collection node.

5. The environmental data detection method according to claim 3, characterized in that: The step of determining whether the working status of the environment data to be detected within a second preset time range matches a preset matching rule, and if so, intelligently adjusting the working status of the acquisition node to be the same as the matching rule includes pre-setting a matching rule, the matching rule including pre-stored acquisition node data to be revoked, and discarding the environment data to be detected when it is determined that the acquisition node will be revoked within the second preset time range.

6. The environmental data detection method according to claim 3, characterized in that: The step of determining whether the working status of the environmental data to be detected within a second preset time range matches a preset matching rule, and if so, intelligently adjusting the working status of the acquisition node to be the same as the matching rule includes pre-setting a matching rule, the matching rule including working status repetition rate data of pre-stored environmental data, and when data matching the working status repetition rate data of the pre-stored environmental data exists in the environmental data to be detected within the second preset time range, the environmental data to be detected is discarded.

7. A detection system for the artificial intelligence-based environmental data detection method according to any one of claims 1 to 6, characterized in that: The system includes: a server and one or more collection nodes deployed at different collection locations, wherein: The server is used to obtain the environmental data to be detected in real time, extract the state characteristics of the environmental data to be detected, and determine whether there is an abnormality in the environmental data to be detected. If there is an abnormality, extract the processing authority characteristics according to the abnormality type to perform abnormal processing according to the corresponding authority characteristics. If there is no abnormality, extract the state characteristics of the environmental data to be detected to intelligently adjust the working state of the collection node according to the collection node position of different data to be detected and the preset matching rules, so as to realize dynamic detection of environmental data; The collection node is used to collect and send the environmental data to be detected to the server in real time, receive a request message from the server, send a response message to the server based on the request message, and automatically shut down or wake up the working state after receiving the intelligent adjustment message from the server.

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