CN116418650A - Intelligent monitoring system, method, server and storage medium - Google Patents
Intelligent monitoring system, method, server and storage medium Download PDFInfo
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Abstract
Intelligent monitoring system, method, server and storage medium, the system comprising: the system comprises a plurality of sensing nodes, a sink node, a first network module, a second network module, a third network module and a platform layer; the sink node is connected with the sensing node through a first network module; the sink node is connected with the platform layer through a second network module; the platform layer is provided with a first processing module and a second processing module, the first processing module is configured to process all collected perception information, and under the condition that the perception information of any perception node is not matched with the preset parameters of the perception node, the perception node is controlled to be disconnected with the sink node, the perception node is controlled to be directly connected with the platform layer through a third network module, and the perception information of the perception node is independently processed by the second processing module so as to be independently monitored. The application aims at providing an intelligent monitoring system for emergency situations.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an intelligent monitoring method, an intelligent monitoring device, a server and a storage medium.
Background
The internet of things technology can realize the internet of things, is widely applied to the technical fields of power grids, pipe networks, factories and the like, provides support for intelligent monitoring of equipment, and plays an important role in production scheduling, safety detection, emergency management and the like. In the field of emergency management, a plurality of sensors are arranged on monitoring equipment and in the environment of the equipment so as to sense the working state of the equipment and the environmental parameters thereof. The sensors are important sensing nodes in the technology of the Internet of things. The sensing node sends the sensing information to the sink node through the network, the sensing information is forwarded by the sink node or sent to the platform through the network after a preset processing program is adopted, the platform further processes the sensing information to obtain processed sensing data, and then the sensing data is issued to the application layer to provide data support for emergency decisions of a user side.
However, when the internet of things is applied to emergency management, situations such as slow and untimely processing of sensing data exist, so that emergency response is slow, and effective emergency repair time is missed.
Disclosure of Invention
Based on the internet of things technology, the emergency management technology field has the defect of low data processing speed and untimely data processing, and the embodiment of the application provides an intelligent monitoring system.
The application proposes an intelligent monitoring system comprising: a perception layer, a network layer and a platform layer; the network layer comprises a first network module and a second network module; the sensing layer comprises a plurality of sensing nodes and sink nodes, and the sink nodes are connected with the sensing nodes through the first network module so as to collect sensing information of the plurality of sensing nodes; the sink node is connected with the platform layer through the second network module so as to send the collected perception information to the platform layer; the network layer also comprises a third network module;
the platform layer is provided with a first processing module and a second processing module, the first processing module is configured to process all collected perception information, and under the condition that the perception information of any perception node is not matched with the preset parameters of the perception node, the perception node is controlled to be disconnected with the sink node, the perception node is controlled to be directly connected with the platform layer through the third network module, and the perception information of the perception node is independently processed by the second processing module so as to independently monitor the perception node.
Optionally, the intelligent monitoring system further comprises an application layer, wherein the application layer comprises an alarm module and an order module; the alarm module alarms under the condition that the sensing information of any sensing node is not matched with the preset parameters of the sensing node; the order module generates a job order under the condition that the perception information of any perception node is not matched with the preset parameters of the perception node, wherein the job order is used for indicating to maintain the perception node and/or maintain the perception object of the perception node and/or adjust the operation state of the perception object of the perception node.
Optionally, after maintaining the sensing node and/or maintaining the sensing object of the sensing node and/or adjusting the running state of the sensing object of the sensing node according to the job order, if the sensing information of the sensing node is matched with the preset parameter of the sensing node, controlling the sensing node to be connected with the sink node through a first network module, disconnecting the connection relationship between the sensing node and the platform layer directly, and canceling the alarm by the alarm module.
Optionally, the application layer further includes a display module configured to display the first data and the second data obtained by the sensing information of the sensing node separately processed by the second processing module at the same time; the first data corresponds to the sensing information before the sensing node is maintained and/or the sensing object of the sensing node is maintained and/or the running state of the sensing object of the sensing node is adjusted according to the job order, and the second data corresponds to the sensing information after the sensing node is maintained and/or the sensing object of the sensing node is maintained and/or the running state of the sensing object of the sensing node is adjusted according to the job order.
Optionally, the display module is further configured to display third data obtained by the sensing information of the rest of sensing nodes processed by the first processing module; the first data and the second data are displayed in a first area of the display module, the third data are displayed in a second area of the display module, and the size of the first area is larger than that of the second area.
Optionally, the plurality of sensing nodes includes: different sensors arranged on the perception object to perceive the working state of the perception object; and/or an environmental sensor arranged around the perception object to perceive an environmental state around the perception object.
The embodiment of the application provides an intelligent monitoring method, which comprises the following steps: the method comprises the steps of obtaining the perception information of a plurality of perception nodes forwarded by the sink node, processing all the perception information of the plurality of perception nodes, and further comprising:
if the sensing information of any sensing node is not matched with the preset parameters of the sensing node, the sensing node is controlled to be disconnected with the sink node, the sensing node is controlled to be directly connected with the platform layer through the third network module, and the sensing information of the sensing node is independently processed so as to independently monitor the sensing node.
Optionally, generating an alarm signal and generating a job signal when the sensing information of any sensing node is not matched with the preset parameters of the sensing node; the alarm signal is used for indicating the alarm module to alarm, and the operation signal is used for indicating the order module to generate an operation order; the job order is used for indicating to maintain the sensing node and/or maintain the sensing object of the sensing node and/or adjust the running state of the sensing object of the sensing node.
Optionally, the application further proposes a computer storage medium, where the memory stores a computer program, where the computer is recorded by the processor, so as to execute the steps of the intelligent monitoring method of the data operation and maintenance platform of the internet of things as described above.
The application also proposes a server comprising:
a memory having a computer program stored thereon;
and the processor is used for executing the computer program in the memory to realize the steps of the intelligent monitoring method of the data operation and maintenance platform of the Internet of things.
In the technical scheme of the embodiment of the application, the information uploaded by the sink node is processed through a first processing module; when the sensing information of any sensing node is not matched with the preset parameters of the sensing node, the sensing node is controlled to be disconnected with the sink node, and the sensing node is directly communicated with the platform layer through the third network module, so that the sensing information of the sensing node is sent to the platform layer through the third network module and does not pass through the sink node, the uploading speed of the sensing information is further improved, and the emergency response speed is improved; and after being uploaded to the platform layer, the sensing information of the sensing node is independently processed by the second processing module, but not processed by the first processing module, so that the processing speed of the sensing information of the sensing node can be improved, the sensing node can be independently monitored, abnormal information can be conveniently monitored, monitoring information can be conveniently and rapidly obtained, and emergency decision is convenient.
Drawings
Fig. 1 is a logic schematic diagram of an intelligent monitoring system of an internet of things data operation and maintenance platform according to an embodiment of the present application in a state.
Fig. 2 is a logic schematic diagram of another state of the intelligent monitoring system of the data operation and maintenance platform of the internet of things according to the embodiment of the present application.
Fig. 3 is a flow chart of an intelligent monitoring method of an internet of things data operation and maintenance platform according to an embodiment of the present application;
fig. 4 is a physical structure of a server for implementing an intelligent monitoring method of an internet of things data operation and maintenance platform according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The internet of things technology is applied to emergency management and is beneficial to timely response. In the prior art, an emergency monitoring system based on the Internet of things comprises a perception layer, a network layer and a platform layer. The sense layer typically includes sense nodes and sink nodes. The sink node is used for primarily processing the information of the sensing node, then sending the processed information to the platform layer, and the platform layer processes the information processed by the sink node according to a preset information processing program. For example, patent publication No. CN112614295a discloses a technical scheme of applying internet of things technology to fire monitoring. The intelligent sensing system comprises a sensing device (sensing node), an intelligent sensing terminal (sink node) and a master station (platform layer), wherein the intelligent sensing terminal comprises an information module and a communication module, and the information module is connected with the communication module; the master station comprises a cloud server and a processing module, and the cloud server is connected with the processing module; the sensing device is configured to collect physical information of the environment, convert the physical information into virtual signal information and transmit the virtual signal information to the information module; the information module is configured to analyze the received virtual signal information and transmit the analyzed virtual signal information to the communication module; the communication module is configured to send the received virtual signal information to the cloud server; the cloud server stores historical fire information and is configured to transmit the received virtual signal information to the processing module; the processing module is configured to read the historical fire information stored in the cloud server, compare and analyze the received virtual signal information with the historical fire information, pre-judge the occurrence probability of the fire, and generate a corresponding disaster response scheme according to the historical fire information.
However, as the sensing information of the sensing node is required to be processed by the sink node and then sent to the platform layer, the information is required to be processed and forwarded for multiple times; due to the large data volume of the perception information, when an emergency situation is encountered, abnormal data processing is slow and the abnormal data processing is not timely uploaded to the platform layer, so that emergency response is slow, and effective emergency repair time is missed.
Therefore, an embodiment of the present application proposes an intelligent monitoring system, especially an intelligent monitoring system of an internet of things data operation and maintenance platform, as shown in fig. 1 and fig. 2, including: a perception layer, a network layer and a platform layer. The network layer comprises a first network module and a second network module; the sensing layer comprises a plurality of sensing nodes and sink nodes, and the sink nodes are connected with the sensing nodes through the first network module so as to collect sensing information of the plurality of sensing nodes; the sink node is connected with the platform layer through the second network module so as to send the collected perception information to the platform layer;
the network layer also comprises a third network module;
the platform layer is provided with a first processing module and a second processing module, the first processing module is configured to process all collected perception information, and under the condition that the perception information of any perception node is not matched with the preset parameters of the perception node, the perception node is controlled to be disconnected with the sink node, the perception node is controlled to be directly connected with the platform layer through the third network module, and the perception information of the perception node is independently processed by the second processing module so as to independently monitor the perception node.
In the technical scheme of the embodiment of the application, the information uploaded by the sink node is processed through a first processing module; when the sensing information of any sensing node is not matched with the preset parameters of the sensing node, the sensing node is controlled to be disconnected with the sink node, and the sensing node is directly communicated with the platform layer through the third network module, so that the sensing information of the sensing node is sent to the platform layer through the third network module and does not pass through the sink node, the uploading speed of the sensing information is further improved, and the emergency response speed is improved; and after being uploaded to the platform layer, the sensing information of the sensing node is independently processed by the second processing module, but not processed by the first processing module, so that the processing speed of the sensing information of the sensing node can be improved, the sensing node can be independently monitored, abnormal information can be conveniently monitored, monitoring information can be conveniently and rapidly obtained, and emergency decision is convenient.
In addition, in emergency repair, it is often performed remotely. The sensing nodes sensing abnormal information are directly connected with the platform layer, so that the sensing information can be monitored in real time in the rush repair process and on the way of going to maintenance, emergency decisions can be timely adjusted in the time periods, and the occurred disasters are reduced to the minimum.
It should be noted that the type and number of the sensing nodes are determined according to different usage scenarios. The preset parameters corresponding to each sensing node are different. For example, when the sensing node is a flow sensor, the preset parameter may be a preset flow and a preset variation of the flow. When the sensing node is a temperature sensor, the preset parameter may be a preset temperature and a preset variation of the temperature.
In general, the first network module may be a short-distance communication module such as a bluetooth module, a Zigbee module, a WiFi module, or the like. The second network module and the third network module may be a 4G module, a 5G module, and an ethernet module.
In an embodiment, a first processing module includes a first processing unit, a storage unit, and an instruction storage unit. The second processing module comprises a second processing unit; and the bus module is connected with the first processing module and the second processing module and is used for data and/or instruction interaction between the first processing module and the second processing module. The storage unit is used for storing data obtained by the first processing module on the sensing information of the plurality of sensing nodes and preset parameters corresponding to each sensing node. The instruction storage unit comprises an instruction set applied to the second processing module, and when the second processing unit executes operation, a corresponding instruction is acquired from the instruction set through the bus module, so that the operation is completed. The instruction storage unit stores a first control instruction, and is used for sending the first control instruction to the second processing module when any sensing node is not matched with the corresponding preset parameter, so that the second processing module can independently process the sensing information of the sensing node based on the control instruction.
In other embodiments, the amount of computation in the first processing module is large because the number of sensing nodes in the emergency management and thus the amount of data of the sensing information is large. When the calculation load of the first processing module exceeds the preset load, the second processing unit acquires corresponding instructions from the instruction set through the bus module when executing operation, so as to assist the first processing module to process the perception information, improve the processing capability of the information, and also be convenient for timely finding out abnormal information when the processing load is high. And once abnormal information occurs, the second processing module independently processes the sensing information of the sensing node so as to independently monitor the sensing node.
For example, when the embodiment is used for fire emergency management, the sensing node comprises an electrical parameter sensor, a temperature sensor, a humidity sensor, a smoke sensor, an infrared camera, and the like. When the information of one of the sensors is abnormal, the platform layer and the sensor directly conduct information interaction through the third network module, so that the information of the sensor can be processed in time. When the abnormal data appears, the platform layer carries out independent processing on the abnormal data by the second processing module, and the data of other parts are still processed by the original first processing module, so that the timely processing of the abnormal data can be quickened. For example, after the smoke signal appears in the smoke sensor, the smoke sensor is directly communicated with the platform layer through the third network module, and the smoke sensor does not need to be indirectly communicated with the platform layer through the sink node, so that the smoke abnormal information is directly processed by the independent second processing module of the platform layer, the smoke can be timely monitored in real time, timely data support is provided for emergency response mechanisms such as remote rescue, and even effective setting time can be provided for preventive measures when disasters do not happen. Of course, the technical scheme of the embodiment can be used in timely maintenance and repair of pipe networks, power grids and the like and in preventive measures.
In an alternative embodiment, the intelligent monitoring system further comprises an application layer, wherein the application layer comprises an alarm module and an order module. And the alarm module alarms under the condition that the sensing information of any sensing node is not matched with the preset parameters of the sensing node. The alarm can adopt sound alarm, light alarm, vibration alarm, text alarm and the like. The order module generates a job order under the condition that the perception information of any perception node is not matched with the preset parameters of the perception node, wherein the job order is used for indicating to maintain the perception node and/or maintain the perception object of the perception node and/or adjust the operation state of the perception object of the perception node. For example, when the smoke information of the smoke sensor is not in the preset smoke data range, the platform layer provides an alarm instruction for the alarm module, and the alarm module sends out smoke alarm and generates a smoke operation order. For example, the smoke operation order comprises geographic position information and maintenance indication of the smoke sensor, so that personnel can maintain and confirm in time.
In an alternative embodiment, after maintaining the sensing node and/or maintaining the sensing object of the sensing node and/or adjusting the running state of the sensing object of the sensing node according to the job order, if the sensing information of the sensing node is matched with the preset parameter of the sensing node, the sensing node and the sink node are controlled to be connected through a first network module, the connection relationship between the sensing node and the platform layer is disconnected, and the alarm module cancels the alarm. Namely: when the information perceived by the perception node is matched with the preset parameters, the perception node is controlled to be connected with the sink node through the first network module and disconnected with the third network module, so that the state of emergency monitoring is recovered to the state of ordinary monitoring, and the alarm is canceled.
In an alternative embodiment, the application layer further includes a display module configured to display the first data and the second data obtained by the sensing information of the sensing node separately processed by the second processing module at the same time; the first data corresponds to the sensing information before the sensing node is maintained and/or the sensing object of the sensing node is maintained and/or the running state of the sensing object of the sensing node is adjusted according to the job order, and the second data corresponds to the sensing information after the sensing node is maintained and/or the sensing object of the sensing node is maintained and/or the running state of the sensing object of the sensing node is adjusted according to the job order. By displaying the first data and the second data, the sensing node and/or the sensing object of the sensing node can be compared and maintained in real time, and/or the sensing information before and after the running state of the sensing object of the sensing node is adjusted, so that the state of the sensing object and the surrounding environment thereof after the operation order is carried out can be fully known, and whether the emergency treatment measures corresponding to the operation order are effective or not can be fully mastered.
In an alternative embodiment, the display module is further configured to display third data obtained by the sensing information of the rest of sensing nodes processed by the first processing module; the first data and the second data are displayed in a first area of the display module, the third data are displayed in a second area of the display module, and the size of the first area is larger than that of the second area. Third data, first data and second data corresponding to other sensing nodes are displayed in the same display module, so that other state information of a sensing object can be displayed when sensing information of a certain sensing node is abnormal, data support is conveniently and timely provided for emergency rescue, other unstable phenomena of the sensing object can be timely found in the emergency rescue process, and processing and maintenance can be timely carried out.
In an alternative embodiment, the plurality of sensing nodes comprises: and the different sensors are arranged on the perception object to perceive the working state of the perception object. And/or an environmental sensor arranged around the perception object to perceive an environmental state around the perception object.
In an embodiment, the perception object may be a device in industrial production, a home appliance, etc. The environment in which the perception object is located can be an industrial production environment, a household environment and the like. For example, in the monitoring of building fire, the sensing node may be a sensor including an electrical parameter sensor, a temperature sensor, a humidity sensor, a smoke sensor, an infrared camera, etc., the sensing object may be an electrical device, and the environment may be a natural atmosphere environment.
For example, in the monitoring applied to the pipe network, the sensing node may be a sensor including an electrical parameter sensor, a temperature sensor, a humidity sensor, a flow sensor, a pressure sensor, an infrared camera, etc., the sensing object may be a pipe, a pump, etc., and the environment may be a natural atmosphere environment, soil, etc.
For another example, in the power grid, the sensing node includes a camera, a smoke sensor, an infrared sensor, an intelligent humidity sensor, an RFID system, an intelligent vibration sensor, an intelligent current transformer, an intelligent voltage transformer, an intelligent vibration transformer, and the like; the sensors are arranged on the power distribution equipment in each power grid, sense and collect parameters of each power distribution equipment, and comprehensively sense the running state, attribute and surrounding environment information of each power distribution equipment.
The embodiment of the application provides an intelligent monitoring method of an internet of things data operation and maintenance platform, as shown in fig. 3, comprising the following steps:
s100, obtaining the perception information of a plurality of perception nodes forwarded by the sink node, processing all the perception information of the plurality of perception nodes,
and S200, if the sensing information of any sensing node is not matched with the preset parameters of the sensing node, the sensing node is controlled to be disconnected with the sink node, the sensing node is controlled to be directly connected with the platform layer through the third network module, and the sensing information of the sensing node is independently processed so as to independently monitor the sensing node.
In the technical scheme of the embodiment of the application, the information uploaded by the sink node is processed through a first processing module; when the sensing information of any sensing node is not matched with the preset parameters of the sensing node, the sensing node is controlled to be disconnected with the sink node, and the sensing node is directly communicated with the platform layer through the third network module, so that the sensing information of the sensing node is sent to the platform layer through the third network module and does not pass through the sink node, the uploading speed of the sensing information is further improved, and the emergency response speed is improved; and after being uploaded to the platform layer, the sensing information of the sensing node is independently processed by the second processing module, but not processed by the first processing module, so that the processing speed of the sensing information of the sensing node can be improved, the sensing node can be independently monitored, abnormal information can be conveniently monitored, monitoring information can be conveniently and rapidly obtained, and emergency decision is convenient.
Further, generating an alarm signal and generating a job signal under the condition that the sensing information of any sensing node is not matched with the preset parameters of the sensing node; the alarm signal is used for indicating the alarm module to alarm, the job signal is used for indicating the order module to generate a job order; the job order is used for indicating to maintain the sensing node and/or maintain the sensing object of the sensing node and/or adjust the running state of the sensing object of the sensing node.
The application also proposes a server comprising: a memory having a computer program stored thereon; and the processor is used for executing the computer program in the memory to realize the steps of the intelligent monitoring method of the data operation and maintenance platform of the Internet of things. In particular, the method comprises the steps of,
referring to fig. 4, a schematic structural diagram of a server according to an embodiment of the invention is shown. The server is used for a platform layer in the monitoring system. The server includes a Central Processing Unit (CPU), a system memory including a Random Access Memory (RAM) and a Read Only Memory (ROM), and a system bus connecting the system memory and the central processing unit. The server also includes an input/output controller that facilitates the transfer of information between the various devices within the computer, and a mass storage device for storing an operating system, application programs, and other program modules.
The input/output controller includes a display for displaying information and an input device such as a mouse, a keyboard for inputting information by a user. Wherein the display and the input device are connected to the central processing unit via an input-output controller connected to the system bus. The input/output controller may also include an input/output controller for receiving and processing input from a plurality of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, the input-output controller also provides output to a display screen, a printer, or other type of output device.
The mass storage device is connected to the central processing unit through a mass storage controller (not shown) connected to the system bus. The mass storage device and its associated computer-readable media provide non-volatile storage for the server. That is, the mass storage device may include a computer readable medium (not shown) such as a hard disk or CD-ROM drive.
The computer readable medium may include computer storage media and communication media without loss of generality. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will recognize that the computer storage medium is not limited to the one described above. The above-described system memory and mass storage devices may be collectively referred to as memory.
The server may also operate in accordance with various embodiments of the invention, through a network, such as the internet, connected to a remote computer on the network. I.e. the server may be connected to the network via a network interface unit connected to the system bus, or alternatively, a network interface unit may be used to connect to other types of networks or remote computer systems (not shown).
The storage further comprises one or more programs, the one or more programs are stored in the storage, and the one or more programs are used for executing the intelligent monitoring method of the internet of things data operation and maintenance platform provided by the embodiment.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An intelligent monitoring system, comprising: a perception layer, a network layer and a platform layer; the network layer comprises a first network module and a second network module; the sensing layer comprises a plurality of sensing nodes and sink nodes, and the sink nodes are connected with the sensing nodes through the first network module so as to collect sensing information of the plurality of sensing nodes; the sink node is connected with the platform layer through the second network module so as to send the collected perception information to the platform layer; it is characterized in that the method comprises the steps of,
the network layer also comprises a third network module;
the platform layer is provided with a first processing module and a second processing module, the first processing module is configured to process all collected perception information, and under the condition that the perception information of any perception node is not matched with the preset parameters of the perception node, the perception node is controlled to be disconnected with the sink node, the perception node is controlled to be directly connected with the platform layer through the third network module, and the perception information of the perception node is independently processed by the second processing module so as to independently monitor the perception node.
2. The intelligent monitoring system of claim 1, further comprising an application layer, the application layer comprising an alarm module and an order module;
the alarm module alarms under the condition that the sensing information of any sensing node is not matched with the preset parameters of the sensing node;
the order module generates a job order under the condition that the perception information of any perception node is not matched with the preset parameters of the perception node, wherein the job order is used for indicating to maintain the perception node and/or maintain the perception object of the perception node and/or adjust the operation state of the perception object of the perception node.
3. The intelligent monitoring system according to claim 2, wherein after maintaining the sensing node and/or maintaining the sensing object of the sensing node and/or adjusting the operation state of the sensing object of the sensing node according to the job order, if the sensing information of the sensing node matches with the preset parameter of the sensing node, the sensing node and the sink node are controlled to be connected through the first network module, the connection relationship between the sensing node and the platform layer is disconnected, and the alarm module cancels the alarm.
4. The intelligent monitoring system of claim 2, wherein the application layer further comprises a presentation module configured to simultaneously present first data and second data derived from the sensing information of the sensing node processed by the second processing module alone;
the first data corresponds to the sensing information before the sensing node is maintained and/or the sensing object of the sensing node is maintained and/or the running state of the sensing object of the sensing node is adjusted according to the job order, and the second data corresponds to the sensing information after the sensing node is maintained and/or the sensing object of the sensing node is maintained and/or the running state of the sensing object of the sensing node is adjusted according to the job order.
5. The intelligent monitoring system of claim 4, wherein the presentation module is further configured to present third data derived from the sensory information of the remaining sensory nodes processed by the first processing module;
the first data and the second data are displayed in a first area of the display module, the third data are displayed in a second area of the display module, and the size of the first area is larger than that of the second area.
6. The intelligent monitoring system of claim 1, wherein the plurality of sensing nodes comprises:
different sensors arranged on the perception object to perceive the working state of the perception object; and/or
An environmental sensor disposed around the perception object to perceive an environmental state around the perception object.
7. An intelligent monitoring method, comprising: the method is characterized by further comprising the steps of acquiring the perception information of a plurality of perception nodes forwarded by the sink node, and processing all the perception information of the plurality of perception nodes
If the sensing information of any sensing node is not matched with the preset parameters of the sensing node, the sensing node is controlled to be disconnected with the sink node, the sensing node is controlled to be directly connected with the platform layer through the third network module, and the sensing information of the sensing node is independently processed so as to independently monitor the sensing node.
8. The monitoring method of claim 7, wherein the alarm signal is generated and the job signal is generated in case the sensing information of any sensing node does not match the preset parameters of the sensing node; the alarm signal is used for indicating the alarm module to alarm, and the operation signal is used for indicating the order module to generate an operation order; the job order is used for indicating to maintain the sensing node and/or maintain the sensing object of the sensing node and/or adjust the running state of the sensing object of the sensing node.
9. A computer storage medium, wherein the memory stores a computer program, and the computer is recorded by a processor to execute the steps of the intelligent monitoring method of the internet of things data operation and maintenance platform according to claim 7 or 8.
10. A server, comprising:
a memory having a computer program stored thereon;
a processor, configured to execute the computer program in the memory, so as to implement the steps of the intelligent monitoring method of the internet of things data operation and maintenance platform according to claim 7 or 8.
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