CN115052024A - Remote automatic control system based on Internet of things - Google Patents
Remote automatic control system based on Internet of things Download PDFInfo
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- CN115052024A CN115052024A CN202210971719.4A CN202210971719A CN115052024A CN 115052024 A CN115052024 A CN 115052024A CN 202210971719 A CN202210971719 A CN 202210971719A CN 115052024 A CN115052024 A CN 115052024A
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- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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Abstract
The application relates to the technical field of computers and provides a remote automatic control system based on the Internet of things. The system comprises: the IoT device acquires detection information and uploads the detection information to the controller based on the received control information, the controller receives the detection information and receives the control information of the management server, the management server is provided with an IoT application program for storing and managing the detection information transmitted by the controller, and the terminal is in communication connection with the management server, the controller converts the detection information received from the IoT device into detection information of a linear component and provides the detection information to the management server, and the management server transmits the received detection information to the terminal. The system realizes remote automatic control of the management server and the terminal by the controller through managing the IoT equipment, improves the control efficiency, and improves the accuracy of detection data by carrying out linear change on the detection information.
Description
Technical Field
The application relates to the technical field of computers, in particular to a remote automatic control system based on the Internet of things.
Background
In buildings, factories, warehouses, public buildings, water treatment plants, and the like, the most important factors for effectively monitoring, diagnosing and managing energy include temperature, humidity, electricity, and carbon dioxide (CO) 2 ) Environmental factors of (1). Therefore, there is a growing need for energy management to optimize and efficiently operate the environmental elements by Building Automation Systems (BAS) and Energy Management System (EMS) such as factory energy automation (FEMS) and building energy automation (BEMS) for business buildings and buildings, and factories and the like.
According to this necessity, the temperature, humidity, electricity and CO of the energy source are optimized 2 The environmental monitoring needs to combine Internet of Things (IoT) technologies together to provide an optimized solution for factories and buildings and develop technologies. However, since data detected by the IoT device using the above-described technique is nonlinear in that elements exhibiting nonlinear characteristics are used in some sections as the environment changes, the data detected by the IoT device is nonlinear, and an error occurs between the data detected by the nonlinearity and actual data.
Disclosure of Invention
An object of the embodiment of the application is to provide a remote automatic control system based on internet of things for solve the above-mentioned problem that prior art exists, realized the remote automatic control of controller to management server and terminal through managing the IoT equipment, improved control efficiency, improved the accuracy of detection data through the information that converts the detection information into linear component.
In a first aspect, an internet of things-based remote automatic control system is provided, which may include: the system comprises the IoT equipment, a controller, a management server and a terminal;
the IoT equipment is used for collecting detection data based on the control information of the CoAP type sent by the controller; based on the request information sent by the controller, after converting the detection data into CoAP type detection information, sending the detection information to the controller; the detection data comprises environment data of the IoT equipment, state data of equipment to be detected and operation data of the IoT equipment;
the controller is used for sending CoAP type control information to the IoT equipment based on the control data sent by the management server; the request information sent to the IoT device based on the request information sent by the management server; receiving detection information sent by the IoT equipment, converting the detection information into information of linear components, and sending the converted information to the management server;
the management server is used for storing the detection information sent by the controller, sending request information to the controller based on an acquisition request of the terminal, receiving the detection information corresponding to the request information sent by the controller, and sending the detection information to the terminal;
the terminal is used for sending an acquisition request to the management server, receiving detection information corresponding to the acquisition request sent by the management server and displaying the detection information;
wherein the controller comprises a communication module, an IoT management module, an information processing module and a CoAP module;
the communication module is used for receiving the control data sent by the management server and sending the control data to the IoT equipment; receiving detection information sent by the IoT equipment;
the IoT management module is used for storing and managing the detection information sent by the IoT equipment; after identifying the sent IoT equipment, sending the IP address of the controller to the IoT equipment, and sending response information of normal connection to the IoT equipment;
the information processing module is used for classifying the information received by the communication module;
the CoAP module is used for generating and storing the detection information received from the IoT equipment into detection information conforming to a preset communication rule, and converting the control data received by the management server into CoAP type control information.
In one possible implementation, the IoT device is specifically configured to send the detection information to the controller through a data transceiving network of a zigzag Zigbee or a data transceiving network of a LORA.
In one possible implementation, the IoT device is specifically configured to send the detection information to the controller through a communication channel of WiFi communication or bluetooth communication.
In one possible implementation, the controller further includes: a plug and play PnP module;
the communication module is further used for receiving control data sent by the energy management system and request information sent by the management server;
the PnP module is used for classifying the data received by the communication module; if the data received by the communication module is request information, running a timer in the PnP module, and sending the request information to the IoT equipment through the communication module; and if the data received by the communication module is control data, controlling to stop running a timer in the PnP module, and converting the control data into CoAP type control information.
In one possible implementation, the controller further includes:
and the data correction module is used for correcting the environmental data in the detection information classified by the information processing module to obtain linearly-changed environmental data.
In one possible implementation, the data correction module includes: the system comprises a frequency conversion unit, an Athens Vickers unit, an oil stain integral unit, a trigonometric function unit and a data correction unit;
the frequency conversion unit is used for converting the environment data sent by the IoT equipment into environment data of a floating point type;
the Athens Weian unit is used for calculating the environment data of the floating point type by adopting a subcategorian function to obtain subcategorian data corresponding to the environment data of the floating point type;
the oil contamination integration unit is used for performing integration operation on the environmental data sent by the IoT equipment by adopting a preset oil contamination angle change rate to obtain an estimated value;
the trigonometric function unit is used for performing trigonometric function operation on the subclinical Vian data and the estimated value to obtain trigonometric function data, and feeding back the trigonometric function data to the Athens Vian unit and the oil stain integral unit so that the Athens Vian unit and the oil stain integral unit obtain new subclinical Vian data and a new estimated value until a preset feedback termination condition is met;
the frequency conversion unit is further configured to obtain new environment data of the floating point type from the new subclinical Weian data and the new estimated value, and convert the new environment data of the floating point type into environment data of an inverse floating point type;
the data correction unit is used for outputting the environment data of the inverse floating point type.
In one possible implementation, the system further comprises: an energy management system EMS;
the energy management system is used for acquiring the detection information from the IoT equipment or the management server and sending control data to the controller according to the energy demand and the detection information;
the controller is further configured to send CoAP-type control information to the IoT device based on the control data sent by the energy management system.
In one possible implementation, the controller is specifically configured to, after receiving the detection information sent by the IoT device, convert the environmental information in the detection information into information of a linear component by using a kalman filter.
In a second aspect, a computer-readable storage medium is provided, in which a computer program is stored, and the computer program, when executed by a processor, implements the functions of the devices in the first aspect.
The remote automatic control system based on thing networking that this application embodiment provided includes: the IoT device acquires detection information and uploads the detection information to the controller based on the received amount control information, the controller receives the detection information and receives the management server control information, the management server is provided with an IoT application program for storing and managing the detection information transmitted by the controller, and the terminal is in communication connection with the management server, wherein the controller converts the detection information received from the IoT device into detection information of a linear component and provides the detection information to the management server, and the management server sends the received detection information to the terminal. The system realizes remote automatic control of the management server and the terminal by the controller through managing the IoT equipment, improves the control efficiency, and improves the accuracy of detection data by carrying out linear change on the detection information.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an internet of things-based remote automatic control system according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a controller according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without any creative effort belong to the protection scope of the present application.
The application aims to solve the problems that IoT equipment for detecting environment data such as temperature, humidity and carbon dioxide and device state data is arranged in a specific device or place, the detection data transmitted by the IoT equipment is utilized to collect information for identifying surrounding environment and things, and an IoT-based remote automatic control system is provided. The detection data may include environmental data of the IoT device, status data of the device to be detected, and operation data of the IoT device, such as environmental data of a temperature sensor, a humidity sensor, a carbon dioxide sensor, an infrared sensor, a flame sensor, and a smoke sensor, and status data of an electricity meter and a water meter, which are characterized by being associated with a ventilation fan and an air conditioning device to detect the status data.
In addition, non-linear detection data of data output by the IoT device provides an internet of things-based remote automatic control system according to a linear theory, which may be as shown in fig. 1, and includes:
the internet of things device 100 (hereinafter, referred to as an "IoT device"), the controller 200, the management server 300, and the terminal 400.
An IoT device 100, configured to collect detection data based on the control information of the CoAP type sent by the controller; and based on the request information sent by the controller, converting the detection data into CoAP type detection information, and then sending the detection information to the controller.
The environment data in the detected data can be composed of a single sensor for detecting environment factors such as a temperature sensor, a humidity sensor, a carbon dioxide sensor, an infrared sensor, an inductor, a spark sensor, a smoke sensor and the like, and the state data in the detected data can be composed of an electricity meter, a water meter, a device connected with a ventilation fan, an air conditioner and the like, and a sensor for detecting the state of each device and the like.
A controller 200 for transmitting CoAP type control information to the IoT device based on the control data transmitted by the management server; the request information sent to an IoT device based on the request information sent by a management server; receiving detection information sent by IoT equipment, converting the detection information into information of linear components, and sending the converted information to a management server; in order to improve the detection accuracy, the detection information detected by the IoT device may be linearly changed, because the detection information exhibits a nonlinear characteristic as the environment changes.
The management server 300 is configured to store the detection information sent by the controller, send request information to the controller based on an acquisition request of the terminal, receive detection information corresponding to the request information sent by the controller, and send the detection information to the terminal;
a terminal 400, configured to send an acquisition request to a management server, receive detection information corresponding to the acquisition request sent by the management server, and display the detection information;
for the IoT device 100: the IoT devices may be installed in buildings, factories, warehouses, water treatment plants, power stations, substations, distribution boards, vinyl houses, etc., and installed with sensors for detecting environmental data such as temperature, humidity, carbon dioxide, etc., and sensors for detecting status data by means of electricity, gas, or a combination of a device for controlling a fan or a water supply and drainage. That is, the IoT device may mean all smart machines or sensors or the like of service objects based on the IoT technology. At present, the communication interface of the existing IoT device is a relatively low-speed serial communication or an interface with higher delay and loss probability such as RS485, CAN, using zigzag (Zigbee) and LORA, and the communication interface of the IoT device of the present application adopts the communication standard of CoAP, which is a network transmission protocol that CAN be used for low-power/high-loss networks and small-capacity and small-sized devices.
Further, the IoT device may specifically send the detection information to the controller through a data transceiving network of a zigzag Zigbee or a data transceiving network of an LORA; or, the detection information is sent to the controller through a communication channel of WiFi communication or Bluetooth communication.
Further, after receiving the information sent by the controller, the IoT device identifies the analysis result through CoAP format analysis, and determines whether the information sent by the controller is control information or request information. If the request information is the request information, the detection data requested according to the request information is generated into the detection information of the CoAP type. If the control information is the control information, the control information is processed, and the terminal state of stopping sending and receiving information is converted within the set time of processing the control information. The detection data detected by the IoT equipment is converted into CoAP information according to the request information and transmitted, and the corresponding sensor or device is controlled according to the control information.
For the controller 200: the method includes converting detection information received from an IoT device into data of a linear component, providing the data to the management server, and processing control data received from the management server to manage the IoT device.
The controller 200 may be as shown in fig. 2, including: a communication module 210, an internet of things management module (or "IoT management module") 220, an information processing module 230, and a communication protocol conversion module 240.
A communication module 210, configured to receive the control data sent by the management server and send the control data to the IoT device; receiving detection information sent by the IoT equipment;
an IoT management module 220 for storing and managing detection information sent by IoT devices; after the sent IoT equipment is identified, the IP address of the controller is sent to the IoT equipment through the communication module, and response information with normal connection is sent to the IoT equipment;
the information processing module 230 is configured to classify the information received by the communication module 210, and if the information belongs to the detection information sent by the IoT device, send the detection information to the IoT management module;
a communication protocol conversion module (or "CoAP module") 240, configured to convert the detection information in the IoT management module into detection information that conforms to a preset communication rule, convert the received control data sent by the management server into CoAP-type control information, and send the CoAP-type control information to the IoT device through the communication module.
Specifically, after the CoAP module classifies or integrates the information in the information processing module 230, it determines the device to which the information is to be transmitted. That is, if the information is received from the IoT device, the information may be transmitted in a zigzag or LORA manner through the communication module; if the information is sent to the IoT device, the information may be transmitted to the wireless communication adapter through the CoAP module.
For the communication module 210: the communication module is connected to the IoT device and the communication network, receives the detection data detected from the IoT device in the form of CoAP information, transmits the reception data through the communication network, receives control information from the management server, and transmits the control information to the IoT device.
The communication module may also perform WiFi and bluetooth communications for wireless communication. In addition, in order to perform zigzag or LORA communication, the communication module may further include a wireless communication adapter connected to the USB port to perform the IoT device and zigzag or LORA communication. That is, according to WiFi and bluetooth communication protocols, wireless communication is performed using the communication module inside the controller described above, and zigzag or LORA communication is performed using the wireless communication adapter. The wireless communication adapter is a wireless communication module that performs wireless communication with the IoT device, and includes a USB to Serial module that converts received data (information) into a Serial communication packet via the wireless communication module, and a USB port to which a USB is connected to the controller.
The wireless communication adapter is connected to the controller through a USB port for smooth communication with the IoT device. In addition, through serial port communication, the information received by the wireless communication adapter can be confirmed on the controller. Meanwhile, the wireless communication adapter also converts the information transmitted from the controller to the IoT device into CoAP information in the middle of information transmission. From the viewpoint of the reception process of the information transmission path, information received through zigzag or LORA communication is converted into serial communication information through a reception flow, and is input to the controller through the USB port. From the perspective of the transmission process of the information transmission path, CoAP information is generated by the information received through the USB port through a transmission flow, and is transmitted to the IoT device in a zigzag or LORA communication manner.
For the IoT management module 220: the IoT management module performs a function of storing information output by the aforementioned IoT devices that manage the connection. If the power is approved, the IoT device is started, and the IoT device transmits the connection information to the controller according to the started connection information. In this case, the connection information includes information on the IoT device (collected or detected data information, location, IoT device name, and the like). And after identifying the sent IoT equipment, the IoT management module sends the IP address of the controller to the IoT equipment so as to realize the endowment of the IP address, registers the IoT equipment sending the connection information, and sends response information with normal connection to the IoT equipment.
For the information processing module 230: the information processing module is used for classifying or integrating the information received by the communication module, and generating objects suitable for respective communication protocols for storage management by the received control information.
For the CoAP module 240: the CoAP module generates and stores CoAP type information received from the IoT equipment into an object conforming to a communication protocol, and converts control information received by the management server into CoAP type information for output.
Further, the controller 200 further includes: plug and Play (PnP) module;
the communication module 210 is further configured to receive control data sent by the energy management system or the management server, and request information sent by the management server;
the PnP module is used for classifying the data received by the communication module; if the data received by the communication module is request information, running a timer in the PnP module, and sending the request information to the IoT equipment through the communication module; and if the data received by the communication module is control data, controlling to stop running the timer in the PnP module, and converting the control data into CoAP type control information.
Specifically, the PnP module processes the request information and the control information classified in the information processing module, and the PnP module classifies the request information and the control information. At this time, if the request information is received, a timer is run, and the IoT device transmits the request information after being defined by the request information. In addition, if the response message is sent by the controller, the timer running when the request message is sent is stopped, and the corresponding response message is processed. In this case, when the information of the IoT device changes, the state change information is transmitted through the IoT device.
Further, the controller 200 further includes: a data correction module;
and a data correction module, configured to correct the environmental data in the detection information classified by the information processing module 230, so as to obtain linearly changing environmental data.
Wherein, the data correction module includes: the device comprises a frequency conversion unit, an Atokeian (Jacobian) unit, an oil stain integration (Euler integratrals) unit, a trigonometric function (trigonometric) unit and a data correction unit.
The frequency conversion unit is used for converting the environment data sent by the IoT equipment into environment data of a floating point type; specifically, the inverter unit converts data input by the IoT device into floating point data for use in the intra-filter operations. All operations within the filter are converted to IEE754 Single-preliminary Format, and a Floating Point Unit (Floating Point Unit) with input and output may be used to perform the operations on the data.
The AscoUvian unit is used for calculating the environment data of the floating point type by adopting a sub-CoUvian function to obtain sub-CoUvian data corresponding to the environment data of the floating point type; specifically, the Jacobian unit is a matrix used for coordinate conversion of the floating point data converted by the frequency conversion unit. That is, in order to calculate data of a linear model by applying a nonlinear model, it is necessary to convert the data into a linear model, and a Matrix used in the conversion is a Jacobian Matrix. Jacobian Matrix can obtain a linearized system model determinant by differentiation, using which a subfovian function is executed. In this case, the Jacobian Matrix calculates the child wiki data using the child wiki function of the 3 × 3 determinant, and inputs the calculated child wiki data to a trigonometric function (trigonometric) unit.
The oil stain integration unit is used for performing integration operation on the environmental data sent by the IoT equipment by adopting the change rate of a preset oil stain angle to obtain an estimated value; specifically, a preset oil stain angle change rate is adopted, and integral operation is performed on environmental data sent by the IoT equipment through integral to obtain a calculation estimation value. In order to correct the detection data output from the IoT devices including the temperature sensor, the humidity sensor, the carbon dioxide sensor, and the like, the calculation may be performed by a nonlinear model, and in this case, a process of converting the detection data into a linear model and a predicted estimation value into an oil mirror angle is required. The above-mentioned estimate is input to a trigonometric function (trigonometric) unit.
The trigonometric function unit is used for performing trigonometric function operation on the subclinical Weian data and the estimated value to obtain trigonometric function data, and feeding back the trigonometric function data to the Ascovian unit and the oil stain integral unit so that the Ascovian unit and the oil stain integral unit can obtain new subclinical Weian data and a new estimated value until a preset feedback termination condition is met;
specifically, the trigonometric function means performs trigonometric function calculation using the input gacovavir data and the estimated value, and 4 trigonometric functions of Sin, Cos, Tan and Sec can be used as the calculation formula of the trigonometric function. Each trigonometric function ranges from 0 to 180 degrees, and can be calculated by taking 0.1 degrees as a unit in order to improve the accuracy of operation. That is, the present invention can use a trigonometric function calculated in units of 0.1 ° due to the complicated operation of the trigonometric function. The input value of the trigonometric function unit uses the data output by the Kevian unit and the oil stain integral unit, and the second decimal place can be used only by sampling in order to bring the estimated value into the range of the trigonometric function.
The frequency conversion unit is also used for obtaining new environment data of the floating point type from the new subcategory Weian data and the new estimated value and converting the new environment data of the floating point type into environment data of an inverse floating point type; specifically, the trigonometric function unit outputs trigonometric function data of the trigonometric function, and the output trigonometric function data is fed back to the subclinical Weian unit and the oil stain integral unit for re-operation.
And the data correction unit is used for outputting environment data of an inverse floating point type.
For the management server 300: the management server stores and manages various detection information transmitted from the IoT device, that is, environmental data such as temperature, humidity, and carbon dioxide, and status data of the device such as a current permission status, a driving status of a fan, and an operation status of an air conditioner, and displays the corresponding detection data according to a request of a user.
For the terminal 400: the terminal is realized by a smart phone, a tablet computer, a desktop and the like, is used as a key point for exploring the IoT equipment, confirming a detection result and inputting control information, supports HTTP (hyper text transfer protocol) and a Web browser CoAP plug-in, and supports communication of a connection management server through HTTP.
In some embodiments, the controller 200 may convert the environmental information in the detection information into information of a linear component by using a kalman filter after receiving the detection information sent by the IoT device in order to correct the data detected from the nonlinear temperature sensor. Specifically, the kalman Filter is a designed system model, and is applicable to all linear systems by using a Recursive Filter of an actual measurement value. The kalman filter derives the estimated value n times based on the estimated value n-1 times, as with the average filter, and thus can perform precise calculation and is also effective in eliminating noise.
In some embodiments, the system may further comprise: energy Management Systems (EMS);
and the energy management system is used for acquiring the detection information from the IoT equipment or the management server and sending control data to the controller according to the energy demand and the detection information.
Specifically, the EMS is an energy management system in which a human and material resource management system is systematically and continuously managed according to a certain program and method in order for a consumer to set a target energy consumption amount and achieve the target. That is, EMS provides an optimal solution for energy conservation and emission reduction of greenhouse gases, so as to effectively perform target management system, energy diagnosis, energy efficiency management, energy conservation and emission reduction activities. In addition, the EMS can automatically generate a used power file by analyzing the energy mode, formulate an energy use plan capable of providing energy-saving indexes, monitor the energy supply and demand and consumption of various devices, and predict the energy demand caused by consumption trend change.
On the basis, the EMS provides information for the user to autonomously save energy, can diagnose whether the target is reached or not in real time, supports a remote automatic control system based on the Internet of things through autonomous contact and mutual control of all devices, and can enable the user to save energy through simple operation. The EMS receives data from the IoT equipment or the management server through the communication network, predicts energy consumption caused by climate change, and effectively and automatically controls the equipment and operates according to the predicted energy demand and the operation of all IoT equipment through environment adaptive control.
In addition, energy use programs of different time periods are provided through energy use pattern analysis of the space set by the IoT equipment, achievable energy-saving target quantity of year and month levels is set according to the energy consumption quantity based on big data analysis, and the achievable energy-saving target quantity is compared, analyzed and diagnosed with the actual consumption quantity. Moreover, the controller isolated from each region and space can be integrated to remotely manage energy, so that a management cost-saving and unified management system can be established.
Therefore, by constituting the EMS, various diagnostic information such as analysis of energy use efficiency and demand prediction are analyzed using data measured by the power equipment to provide information for effective use of energy, and a system-linked energy management system for improving system stability can be provided by an optimal mode in which maximum required power and target power are simultaneously managed through analysis of energy consumption patterns and analysis of power supply and demand of new renewable energy. In addition, the big data provided by the EMS are utilized to analyze energy consumption modes caused by week, time and/or temperature change, and an index for effectively utilizing energy is provided.
The remote automatic control system based on thing networking that this application embodiment provided includes: the IoT system comprises an IoT device for acquiring detection information based on received control information and uploading the detection information to a controller, the controller for receiving the detection information and receiving control information of a management server, the management server provided with an IoT application program for storing and managing the detection information transmitted by the controller, and a terminal in communication connection with the management server, wherein the controller converts the detection information received from the IoT device into detection information of a linear component and provides the detection information to the management server, and the management server transmits the received detection information to the terminal. The system realizes remote automatic control of the management server and the terminal by the controller through managing the IoT equipment, improves the control efficiency, and improves the accuracy of detection data by carrying out linear change on the detection information.
While preferred embodiments of the present application have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all changes and modifications that fall within the true scope of the embodiments of the present application.
It is apparent that those skilled in the art can make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the embodiments of the present application. Thus, if such modifications and variations of the embodiments of the present application fall within the scope of the claims of the embodiments of the present application and their equivalents, the embodiments of the present application are also intended to include such modifications and variations.
Claims (8)
1. A remote automatic control system based on the Internet of things is characterized in that the system comprises: the system comprises the IoT equipment, a controller, a management server and a terminal;
the IoT equipment is used for collecting detection data based on the control information of the CoAP type sent by the controller; based on the request information sent by the controller, after converting the detection data into detection information of a CoAP type, sending the detection information to the controller; the detection data comprises environment data of the IoT equipment, state data of equipment to be detected and operation data of the IoT equipment;
the controller is used for sending CoAP type control information to the IoT equipment based on the control data sent by the management server; the request information sent to the IoT device based on the request information sent by the management server; receiving detection information sent by the IoT equipment, converting the detection information into information of linear components, and sending the converted information to the management server;
the management server is used for storing the detection information sent by the controller, sending request information to the controller based on an acquisition request of the terminal, receiving the detection information corresponding to the request information sent by the controller, and sending the detection information to the terminal;
the terminal is used for sending an acquisition request to the management server, receiving detection information corresponding to the acquisition request sent by the management server and displaying the detection information;
wherein the controller comprises a communication module, an IoT management module, an information processing module and a CoAP module;
the communication module is used for receiving the control data sent by the management server and sending the control data to the IoT equipment; receiving detection information sent by the IoT equipment;
the IoT management module is used for storing and managing the detection information sent by the IoT equipment; after identifying the sent IoT equipment, sending the IP address of the controller to the IoT equipment through the communication module, and sending response information with normal connection to the IoT equipment;
the information processing module is used for classifying the information received by the communication module, and if the information belongs to detection information sent by IoT equipment, the detection information is sent to an IoT management module;
the CoAP module is used for generating detection information which accords with a preset communication rule from the detection information sent by the IoT equipment in the IoT management module, converting the control data received by the management server into CoAP type control information and sending the CoAP type control information to the IoT equipment through the communication module.
2. The system of claim 1, wherein the IoT device is specifically configured to send the detection information to the controller over a data-transceiving network of zig-zag Zigbee or a data-transceiving network of LORA.
3. The system of claim 1, wherein the IoT device is to send the detection information to the controller, in particular over a communication channel of WiFi communication or bluetooth communication.
4. The system of claim 1, wherein the controller further comprises: a plug and play PnP module;
the communication module is further configured to receive control data sent by the management server and request information sent by the management server;
the PnP module is used for classifying the data received by the communication module; if the data received by the communication module is request information, running a timer in the PnP module, and sending the request information to the IoT equipment through the communication module; and if the data received by the communication module is control data, controlling to stop running a timer in the PnP module, and converting the control data into CoAP type control information.
5. The system of claim 1, wherein the controller further comprises:
and the data correction module is used for correcting the environmental data in the detection information classified by the information processing module to obtain linearly-changed environmental data.
6. The system of claim 5, wherein the data correction module comprises: the system comprises a frequency conversion unit, an Athens Vickers unit, an oil stain integral unit, a trigonometric function unit and a data correction unit;
the frequency conversion unit is used for converting the environment data sent by the IoT equipment into environment data of a floating point type;
the Athens Weian unit is used for calculating the environment data of the floating point type by adopting a subcategorian function to obtain subcategorian data corresponding to the environment data of the floating point type;
the oil contamination integration unit is used for performing integration operation on the environmental data sent by the IoT equipment by adopting a preset oil contamination angle change rate to obtain an estimated value;
the trigonometric function unit is used for performing trigonometric function operation on the subclinical Vian data and the estimated value to obtain trigonometric function data, and feeding back the trigonometric function data to the Athens Vian unit and the oil stain integral unit so that the Athens Vian unit and the oil stain integral unit obtain new subclinical Vian data and a new estimated value until a preset feedback termination condition is met;
the frequency conversion unit is further used for obtaining new environment data of the floating point type from the new subclinical Weian data and the new estimation value, and converting the new environment data of the floating point type into environment data of an inverse floating point type;
the data correction unit is used for outputting the environment data of the inverse floating point type.
7. The system of claim 1, wherein the system further comprises: an energy management system EMS;
the energy management system is used for acquiring the detection information from the IoT equipment or the management server and sending control data to the controller according to the energy demand and the detection information;
the controller is further configured to send CoAP-type control information to the IoT device based on the control data sent by the energy management system.
8. The system of claim 1, wherein the controller is specifically configured to, after receiving the detection information sent by the IoT device, convert the environmental information in the detection information into information of a linear component using a kalman filter.
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