CN116319846B - Intelligent mining control platform for big data of remote equipment in building - Google Patents
Intelligent mining control platform for big data of remote equipment in building Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention provides an intelligent acquisition and control platform for large data of remote equipment in a building, which comprises at least one acquisition and control group or acquisition and control device formed by at least one controller and at least one collector, wherein control flow information and data flow information are transmitted in the acquisition and control device, at least one edge gateway connected with the acquisition and control group, and a management cloud platform connected with the at least one edge gateway, wherein the collector and the controller respectively acquire various data acquisition modules selected from the periphery of the edge gateway or the acquisition and control device acquires data and controls operation of the various data acquisition modules selected from the periphery of the edge gateway according to a control command of the management cloud platform, one edge gateway is connected with the at least one acquisition and control group or the acquisition and control device to form an intra-domain communication network, and the at least one edge gateway is connected with the management cloud platform to form a trunk communication network. The intelligent mining control platform realizes the networked monitoring of the safety operation and maintenance of the building equipment and the environment, and the intelligent safety operation and maintenance of the building equipment and the environment in the city of the whole city which is remotely and unmanned.
Description
Technical Field
The invention relates to a device data acquisition and control platform, in particular to an intelligent large-data acquisition and control platform for remote devices in a building, and belongs to the field of device data acquisition and control.
Background
Besides some household appliances, or factory buildings and office equipment appliances, the modern buildings have various electricity consumption sensing and intelligent network related equipment required electricity consumption, and the equipment appliances have data relations related to each other. When an anomaly occurs, a problem will occur as to how to learn about or avoid the anomaly. It is therefore necessary to collect big data from each device and to make algorithmic predictions. This is a problem to be solved in order to achieve building intellectualization, and even urban intellectualization.
The existing big data intelligent consideration is realized on the infrastructure of urban water, electricity and gas, and big data intelligent acquisition and control of all devices inside a living building are not considered. This block of anomaly monitoring of the water, electricity and gas equipment inside the building is missing.
Disclosure of Invention
In order to solve the above problems, the present invention considers the following aspects: the first data acquisition and control module is established, the data network topology is constructed, and the safety scheme of the data is constructed. In view of these three aspects, the present invention provides a remote device big data intelligent acquisition and control platform in a building, which is characterized by comprising at least one controller and at least one collector to form an acquisition and control group and transmit control flow information and data flow information therein, at least one edge gateway connected with the acquisition and control group, and a management cloud platform connected with the at least one edge gateway, or
Comprises at least one acquisition controller integrating control and data acquisition functions, transmitting control flow information and data flow information therein, at least one edge gateway connected with the at least one acquisition controller, and a management cloud platform connected with the at least one edge gateway,
the collector and the controller are respectively used for collecting data and controlling operation of remote equipment in a building according to control commands of the management cloud platform for the plurality of data collecting modules selected and arranged around the edge gateway or the collecting controller is used for collecting data for the plurality of data collecting modules selected and arranged around the edge gateway, one edge gateway is connected with at least one collecting control group or collecting controller to form an intra-domain communication network, and at least one edge gateway is connected with the management cloud platform to form a trunk communication network.
Preferably, the plurality of data acquisition modules include any one or combination of an electricity meter, a water meter, an environmental sensor, a motion sensor, a plurality of in-domain device control modules.
More preferably, the various intra-domain device control modules include a digital multimedia device, a computer network device, an environmental monitoring device, an information issuing device, and an internet of things device.
Preferably, the backbone communication can be selected and matched with an Ethernet port, a WiFi module or a 4G/5G module according to the deployment scene condition, so that the connection from the edge gateway to the cloud platform is realized; the intra-domain communication can be selected and matched with the power carrier module, the Modbus module and the LoRa module according to the deployment scene condition, so that the connection from the intra-domain equipment to the edge gateway is realized.
Preferably, the edge gateway comprises a CM edge gateway or a traditional edge gateway, the CM edge gateway comprises a CM module which is a calculation module based on X86/ARM/RISC-V and is used as a device main control center to complete main calculation tasks;
the expansion board comprises a security chip, a backbone network communication module and an intra-domain communication module;
the security chip completes encryption and decryption calculation by special hardware, realizes encryption and decryption, signature verification and hash calculation, greatly reduces the influence of encryption and decryption on data transmission delay, can select a national encryption chip, a foreign standard encryption chip and a user design chip according to markets, can respectively support a national encryption algorithm, a foreign encryption algorithm and a user design encryption algorithm, and encrypts and decrypts all control flow information and data flow information through the security chip; realizing symmetric encryption and decryption, asymmetric encryption and decryption, user-set encryption and decryption, signature and verification and hash settlement;
the trunk communication module is matched with the Ethernet port, the WiFi module and the 4G/5G module to realize the connection between the edge gateway and the cloud platform;
the intra-domain communication module is used for selecting and matching the power carrier module, the Modbus module and the LoRa module to realize the connection from the intra-domain equipment to the edge gateway;
when the intra-domain equipment accesses the CM edge gateway, identity authentication based on identification needs to be carried out on the equipment, legal equipment is allowed to pass through the access, the reality and effectiveness of the intra-domain equipment are ensured, and various attacks are prevented.
The CM edge gateway can send control instructions sent by the cloud platform to various intra-domain devices, can upload data information acquired by the intra-domain devices to the cloud platform, and ensures information security through encryption of the security chip.
Preferably, the CM edge gateway collects data signals in a polling or on-demand query mode, and the collected data is sent to the CM computing module for data processing through a corresponding communication interface of the intra-domain communication module;
the CM computing module processes the acquired data and uploads the data to the cloud platform through the trunk communication module; the CM computing module uploads the acquired data and the formulated strategy to the cloud platform to perform corresponding judgment of the acquired data in real time, the intra-domain communication module issues a control instruction sent by the cloud platform to the remote equipment to control the remote equipment, and the CM computing module feeds back a data processing result and an instruction execution result to upload the data to the cloud platform through the trunk communication module.
The traditional edge gateway is obtained by omitting a CM module from a CM edge gateway.
It can be understood that the CM edge gateway solves the policy making function in each domain, so as to reduce the computational load and communication load brought to the cloud platform by making the traditional edge gateway in the cloud platform.
The management cloud platform comprises: the data receiving module comprises a data processing center for processing the data uploaded by the edge gateway and storing the processed data into the data system module;
the data system module comprises a time sequence database for storing early warning/alarm information and state parameters for inquiry, and a relation entry relational database between the early warning/alarm information and state parameters and the positions of various data acquisition modules and/or various intra-domain equipment control modules;
the universal module comprises a login and authorization module, an information maintenance module, a data engine module and a 3D modeling module, wherein the login and authorization module and the information maintenance module respectively provide the login system of an operator and the functions of operation right grant and management and equipment information management; the data engine module and the 3D modeling module render a 3D scene according to the scene data and the equipment information respectively;
and a service module: the device comprises a 3D scene module, wherein according to equipment information, the 3D scene module is used for gathering and displaying: the equipment room comprises equipment room cabinet capacity, security monitoring access control, digital multimedia equipment, computer network equipment, environment monitoring, information release equipment, internet of things equipment, comprehensive pipeline equipment distribution, running state, data display and control operation;
early warning alarm processing module: the method comprises the steps of performing remote intra-domain equipment control operation and self-defining remote intra-domain equipment control operation according to a treatment strategy;
asset management module: the method is used for managing and displaying various assets such as energy consumption machine room cabinets, equipment, network equipment, monitoring equipment, access control equipment, information release equipment, pipelines, internet of things equipment and the like in a building;
and the energy consumption management module is used for: the method is used for collecting, analyzing and controlling the data of the energy nodes in the building. Collecting and displaying the data of each energy consumption node, processing and analyzing the data, converging and displaying the data, and controlling and managing the energy consumption equipment according to an energy consumption management strategy.
And the safe operation and maintenance management module is used for: the method comprises the steps of performing control management on various intra-domain devices to realize early warning information management, alarm information management and remote intra-domain device control operation and user-defined remote intra-domain device control operation by sending instructions to an early warning alarm processing module; in the connection with the traditional edge gateway, the safety operation and maintenance management module also carries out equipment safety strategy formulation and environment safety strategy formulation on the collected data information of various data collection modules;
the safety operation and maintenance management module can carry out intelligent information management, equipment safety operation and maintenance strategy and environment safety strategy formulation according to various environment parameter signals and energy parameter signals through linkage of equipment control and other management modules, and carries out corresponding early warning alarm signals and control on remote equipment in an area;
and the security management module is used for: monitoring, entrance guard and security equipment management, linking with other information management modules, and realizing security information integration according to security policies;
and a data analysis module: the system comprises data analysis functions such as energy consumption load measurement, energy consumption analysis, energy consumption comparison analysis, safe operation and data analysis, operation analysis of various devices, security information analysis, information release analysis and the like;
report management module: providing various operation and maintenance reports, management reports, early warning alarm reports, energy consumption analysis reports, security analysis reports and information analysis reports;
the front-end display module is used for controlling operation and maintenance management by adopting a management page/APP/applet in a plurality of front-end modes and displaying various operation and maintenance information, environment information, security information and equipment information by adopting a digital large-screen 3D scene.
Wherein the device security policy formulation and the environmental security policy formulation include:
s1, dividing data streams acquired from various data acquisition modules and/or various intra-domain equipment control modules into a plurality of data sets according to an acquisition time sequence, and preprocessing the data sets; wherein the data flows collected by the data collection modules and/or the device control modules in various domains respectively comprise electric energy parameters, water flow parameters, water immersion signals, acceleration and/or the like which are respectively represented by an electric meter, a water meter, an environment sensor and a motion sensor
The method comprises the steps that digital multimedia equipment, computer network equipment, environment monitoring, information release equipment and Internet of things equipment represent video, audio and environment parameters, internet of things connection information and Internet speed information, preprocessing of electric energy parameters, water flow parameters, water immersion signals and acceleration is respectively temperature correction, speed correction, air humidity correction and image or light intensity correction of parameters, preprocessing of the video, audio and environment parameters is background correction, and preprocessing of Internet of things connection information and Internet speed information is differential with a reference value;
s2, manually classifying the preprocessed data groups in the S1 into a normal group, an early warning group and an abnormal group, and dividing the normal group, the early warning group and the abnormal group into a training set and a verification set respectively, wherein the ratio is 5-3:1;
s3, constructing a neural network model, taking a training set and manual classification as a label input model, outputting the prediction probability of classification through a classification model at an output end, verifying the accuracy by using a verification set, calculating a loss function value, and optimizing network parameters; continuously inputting a training set for training until the loss function value tends to be stable, and finishing the training with the highest accuracy;
s4, acquiring real-time data, inputting the real-time data into the neural network model trained in the S3 after preprocessing as in the S1, obtaining the classification of the current data set, forming a device safety strategy and/or an environment safety strategy according to the classification result, when the result is normal, not performing any operation, sending out early warning information when early warning, controlling operation parameters when abnormal so as to enable the early warning information to be maintained in a normal range, and sending out alarm information to the controlled remote intra-domain device and performing remote operation on the state of the switch device if the maintenance fails.
Optionally, the classification includes only normal and abnormal groups.
The classification model comprises a sigmond function, a SOFTMAX function and a support vector machine.
The user setting encryption method comprises the following steps: encrypting the electric energy parameter, the water flow parameter, the water immersion signal, the acceleration, the environmental parameter and the reference value difference, wherein the encryption comprises the steps of randomly generating a first color two-dimensional code, carrying out color value formation on the electric energy parameter, the water flow parameter, the water immersion signal, the acceleration, the environmental parameter and the reference value difference, endowing color values corresponding to all data to square points in the selected two-dimensional code through a random algorithm, and encrypting the operation parameter by taking the formed two-dimensional code endowed with the color value as a password;
the video encryption comprises the steps of randomly selecting a plurality of frames of a video, selecting and arranging the frames into an encrypted image according to a preset sequence, extracting color values of 5-10 pixel points in the encrypted image according to a preset selection method, arranging the color values into a digital string according to an extraction sequence, and encrypting video data by taking the digital string as a key;
randomly selecting the amplitude of the audio at a plurality of time points for the encryption of the audio, selecting and arranging a plurality of values of the amplitude into a digital string according to a preset sequence, and encrypting the audio data by taking the digital string as a key;
and for strategy encryption, randomly generating a second color two-dimensional code, carrying out color value formation on the model parameters, endowing the color values corresponding to the model parameters to square points in the selected two-dimensional code through a random algorithm, and forming the two-dimensional code endowed with the color values as a password to encrypt the strategy.
For two-dimensional code encryption, only a setter decrypts the two-dimensional code because the setting rule of the color value and the specific points in the color two-dimensional code represent the collected data cannot be known by the encryptor.
For video encryption, it is also difficult to crack because a person trying to crack cannot know which specific frame, the method of selecting and arranging the preset sequence, and the method of selecting 5-10 pixels by the preset selection method.
For encryption of audio, the person trying to crack cannot know the specific time node, and the amplitude value, cannot crack.
Advantageous effects
(1) The networked monitoring of the safe operation and maintenance of the building equipment and the environment is realized through the operation data of various data acquisition modules and/or various intra-domain equipment control modules;
(2) The intelligent safety operation and maintenance of the building equipment and the environment in the city of the whole city are realized by carrying out artificial intelligence on the equipment safety strategy formulation and the environment safety strategy formulation and the remote intra-domain equipment control through the operation data collection of various data collection modules and/or various intra-domain equipment control modules.
Drawings
Figure 1 the intra-domain communication network architecture of embodiment 1 of the present invention,
figure 2 a backbone communication network architecture diagram of embodiment 1 of the present invention,
figure 3 is a schematic diagram of a CM edge gateway architecture,
figure 4 is a schematic diagram of a mining and control method based on two schemes of the intelligent mining and control platform in embodiment 1 of the present invention,
figure 5 is a schematic diagram of the path of CM edge gateway control/data flow based on two schemes,
figure 6 is a schematic diagram of a device security policy formulation and environmental security policy formulation flow,
FIG. 7 is a schematic diagram of a first color two-dimensional code,
figure 8 is a schematic diagram of the video encryption flow in embodiment 2 of the present invention,
fig. 9 is a diagram showing a result of selecting a number string in encryption of audio in embodiment 2 of the present invention.
Detailed Description
Example 1
This embodiment illustrates the structure of the intelligent acquisition and control platform for remote equipment big data in a building
As shown in fig. 1 and 2, an intelligent collection and control platform for large data of remote equipment in a building comprises N (N > 2) controllers and N (N > 2) collectors, wherein 1 controller and 1 collector form a collection and control group and are connected with 1 edge gateway to form an intra-domain communication network architecture, and a plurality of edge gateways are connected with a management cloud platform to form a main communication network architecture, which is scheme 1.
Or 1 acquisition controller is connected with 1 edge gateway to form an intra-domain communication network architecture, and a plurality of edge gateways are connected with a management cloud platform to form N groups of data communication network architectures, which is scheme 2.
In which intra-domain communication is mainly based on electric power carriers and Modbus systems, and LoRa is supplemented.
According to different deployment scene conditions, the N controllers, the N collectors and the N collectors are connected with the at least one edge gateway through a voltage power line or a shielded twisted pair; in the inconvenient wiring scene, monitoring control equipment passes through the loRa with at least one edge gateway wireless connection. According to the deployment scene conditions, the edge gateway can select the modes of Ethernet ports, wiFi and 4G/5G communication and form a tree network with the control management cloud platform.
The collector and the controller are used for respectively collecting data and controlling operation according to control commands of the management cloud platform for the electric meters, the water meters, the environment sensors, the motion sensors, the digital multimedia equipment, the computer network equipment, the environment monitoring equipment, the information issuing equipment and the Internet of things equipment which are selected and installed around the edge gateways.
As shown in fig. 3, the CM edge gateway includes a CM module 1, which is a computing module based on X86/ARM/RISC-V, and is used as a device master control center to complete a main computing task;
the expansion board 2 comprises a security chip 3, a backbone network communication module 4 and an intra-domain communication module 5;
the security chip 3 completes encryption and decryption calculation by special hardware, realizes encryption and decryption, signature verification and hash calculation, greatly reduces the influence of encryption and decryption on data transmission delay, can select a national encryption chip, a foreign standard encryption chip and a user design chip according to markets, can respectively support a national encryption algorithm, a foreign encryption algorithm and a user design encryption algorithm, and encrypts and decrypts all control flow information and data flow information through the security chip 3; realizing symmetric encryption and decryption, asymmetric encryption and decryption, user-set encryption and decryption, signature and verification and hash settlement;
the trunk communication module 4 is matched with the Ethernet port 6, the WiFi module 7 and the 4G/5G module 8 to realize the connection of the edge gateway to the cloud platform;
the intra-domain communication module 5 is used for selecting a power carrier module 9, a Modbus module 10 and a LoRa module 11 to realize connection from intra-domain equipment to an edge gateway;
when the intra-domain equipment accesses the CM edge gateway, identity authentication based on identification needs to be carried out on the equipment, legal equipment is allowed to pass through the access, the reality and effectiveness of the intra-domain equipment are ensured, and various attacks are prevented.
The CM edge gateway can send control instructions sent by the cloud platform to various intra-domain devices, can upload data information acquired by the intra-domain devices to the cloud platform, and ensures information security through encryption of the security chip.
As shown in fig. 4, in the scheme 1, the collector collects data of an ammeter, a water meter, an environmental sensor, a motion sensor, a digital multimedia device, a computer network device, an environmental monitoring device, an information release device and an internet of things device, which are selected around a plurality of CM edge gateways, and sends the data to the CM edge gateway of the intranet.
The CM edge gateways of the N intra-domain networks in fig. 1 encrypt the received collected data in the security chip 3 through the device security policy making and environment security policy making and encrypting, or the conventional edge gateway, and transmit the encrypted collected data to the cloud platform of the backbone network in fig. 2. And the formulated equipment security policy formulation and environment security policy formulation are stored in the cloud platform or are carried out. The cloud platform substitutes the acquired data received in real time into a model of the established equipment security policy and the environment security policy to obtain a prediction result, and sends a control instruction to the controller according to the prediction result, so that the controller controls the operation of equipment in a remote domain.
The difference between the scheme 2 and the scheme 1 is that the acquisition controller is adopted to have the functions of the controller and the collector of the scheme 1.
Fig. 5 shows that the CM edge gateway can send a control instruction sent by the cloud platform to the intra-domain device, and can upload data stream information collected by the intra-domain device to the cloud platform of the backbone network, where the data stream and the instruction stream information are encrypted by the security chip 3 in fig. 3, so as to ensure information security. For a conventional edge gateway, both data flow and instruction flow information are directly transmitted to the cloud platform of fig. 2 through encryption of the security chip 3 of fig. 3.
The cloud platform performs policy formulation or saves policy data depending on whether the received data belongs to encrypted acquisition data for policy formulation (for connecting to a legacy edge gateway) or encrypted policy data (for connecting to a CM edge gateway) (collectively, data encryption steps in fig. 4).
Example 2
This embodiment describes policy making, encryption methods, and composite control methods.
As shown in fig. 6, the device security policy formulation and the environment security policy formulation include:
s1, dividing data streams acquired from various data acquisition modules and/or various intra-domain equipment control modules into a plurality of data sets according to the acquired time sequences t1, t2, and tn, and preprocessing the data sets; wherein the data flows collected by the data collection modules and/or the device control modules in the domains respectively comprise electric energy parameters, water flow parameters, water immersion signals, acceleration and the like which are respectively represented by an electric meter, a water meter, an environment sensor and a motion sensor
The digital multimedia equipment, the computer network equipment, the environment monitoring equipment, the information issuing equipment and the Internet of things equipment represent video, audio and environment parameters, and the Internet of things is connected to Internet speed information, and the preprocessing of electric energy parameters, water flow parameters, water immersion signals and acceleration is respectively temperature correction, speed correction, air humidity correction, image or light intensity correction of parameters, the preprocessing of the video, audio and environment parameters is background correction, and the preprocessing of Internet of things connection information and Internet speed information is differential with a reference value;
s2, manually classifying the preprocessed data sets in the S1 into a normal set, an early warning set and an abnormal set, and dividing the normal set, the early warning set and the abnormal set into a training set and a verification set respectively, wherein the ratio is 3:1;
s3, constructing a neural network model, taking a training set and manual classification as a label input model, outputting the prediction probability of normal, early warning and abnormal classification at an output end through SOFTMAX, verifying the accuracy rate by using a verification set, calculating a loss function value and optimizing network parameters; continuously inputting a training set for training until the loss function value tends to be stable, and finishing the training with the highest accuracy;
s4, acquiring real-time data, inputting the real-time data into the CNN neural network model trained in the S3 after preprocessing as in the S1 to obtain the classification of the current data set, forming a device safety strategy and/or an environment safety strategy according to the classification result, when the result is normal, not performing any operation, sending out early warning information when early warning, controlling operation parameters when abnormal so as to enable the operation parameters to be maintained in a normal range, and sending out alarm information to the controlled remote intra-domain device and performing remote operation on the state of the switch device if maintenance fails.
The user setting encryption method comprises the following steps: encrypting the electric energy parameter, the water flow parameter, the water immersion signal, the acceleration, the environmental parameter and the reference value difference, including randomly generating a first color two-dimensional code (figure 7), carrying out color value conversion on the electric energy parameter, the water flow parameter, the water immersion signal, the acceleration, the environmental parameter and the reference value difference, endowing the color value corresponding to each data to a square point in the selected two-dimensional code through a random algorithm, and encrypting the operation parameter by taking the formed two-dimensional code endowed with the color value as a password;
as shown in fig. 8, the video encryption includes randomly selecting a plurality of frames a-h of the video, selecting and arranging the frames a-h according to a preset sequence to form an encrypted image, extracting color values of 5-10 pixels in the encrypted image according to a preset selection method, arranging the color values into a digital string according to an extraction sequence, and encrypting video data by using the digital string as a key;
as shown in fig. 9, for encrypting the audio, randomly selecting the amplitudes A1 to A6 at a plurality of time points T1 to T6 of the audio, selecting and arranging a plurality of values of the amplitudes in a preset order into a digital string, and encrypting the audio data by using the digital string as a key;
and for strategy encryption, randomly generating a second color two-dimensional code, carrying out color value formation on the model parameters, endowing the color values corresponding to the model parameters to square points in the selected two-dimensional code through a random algorithm, and forming the two-dimensional code endowed with the color values as a password to encrypt the strategy.
Example 3
The management cloud platform architecture is shown in table 1, and includes: the data receiving module comprises a data processing center for processing the data uploaded by the edge gateway and storing the processed data into the data system module;
the data system module comprises a time sequence database for storing early warning/alarm information and state parameters for inquiry, and a relation entry relational database between the early warning/alarm information and state parameters and the positions of various data acquisition modules and/or various intra-domain equipment control modules;
the universal module comprises a login and authorization module, an information maintenance module, a data engine module and a 3D modeling module, wherein the login and authorization module and the information maintenance module respectively provide the login system of an operator and the functions of operation right grant and equipment information management; the data engine module and the 3D modeling module render a 3D scene according to the scene data and the equipment information respectively;
and a service module: the device comprises a 3D scene module, wherein according to equipment information, the 3D scene module is used for gathering and displaying: the equipment room comprises equipment room cabinet capacity, security monitoring access control, digital multimedia equipment, computer network equipment, environment monitoring, information release equipment, internet of things equipment, comprehensive pipeline equipment distribution, running state, data display and control operation;
early warning alarm processing module: the method comprises the steps of performing remote intra-domain equipment control operation and self-defining remote intra-domain equipment control operation according to a treatment strategy;
asset management module: the method is used for managing and displaying various assets such as energy consumption machine room cabinets, equipment, network equipment, monitoring equipment, access control equipment, information release equipment, pipelines, internet of things equipment and the like in a building;
and the energy consumption management module is used for: the method is used for collecting, analyzing and controlling the data of the energy nodes in the building. Collecting and displaying the data of each energy consumption node, processing and analyzing the data, converging and displaying the data, and controlling and managing the energy consumption equipment according to an energy consumption management strategy.
And the safe operation and maintenance management module is used for: the method comprises the steps of performing control management on various intra-domain devices to realize early warning information management, alarm information management and remote intra-domain device control operation and user-defined remote intra-domain device control operation by sending instructions to an early warning alarm processing module; in the connection with the traditional edge gateway, the safety operation and maintenance management module also carries out equipment safety strategy formulation and environment safety strategy formulation on the collected data information of various data collection modules;
therefore, the safety operation and maintenance management module can carry out intelligent information management, formulation of equipment safety operation and maintenance strategies and environment safety strategies and corresponding control on the equipment according to various early warning alarm signals, environment parameter signals and energy parameter signals through linkage of equipment control and other management modules.
And the security management module is used for: monitoring, entrance guard and security equipment management, and realizing security information integration according to security policies in linkage with other information management modules.
And a data analysis module: energy consumption load measurement, energy consumption analysis, energy consumption comparison analysis, safe operation and data analysis, operation analysis of various devices, security information analysis, information release analysis and other data analysis functions,
report management module: providing various operation and maintenance reports, management reports, early warning alarm reports, energy consumption analysis reports, security analysis reports and information analysis reports;
the front-end display module is used for controlling operation and maintenance management by adopting a management page/APP/applet in a plurality of front-end modes and displaying various operation and maintenance information, environment information, security information and equipment information by adopting a digital large-screen 3D scene.
Claims (7)
1. The intelligent mining control platform for the big data of the remote equipment in the building is characterized by comprising a mining control group consisting of at least one controller and at least one collector, transmitting control flow information and data flow information in the mining control group, at least one edge gateway connected with the mining control group, and a management cloud platform connected with the at least one edge gateway, or
Comprises at least one acquisition controller integrating control and data acquisition functions, transmitting control flow information and data flow information therein, at least one edge gateway connected with at least one acquisition controller, and a management cloud platform connected with at least one edge gateway,
the collector and the controller respectively collect data and control remote equipment in a building according to control commands of the management cloud platform for a plurality of data collection modules selected and arranged around the edge gateway or the collector and the controller respectively collect data for a plurality of data collection modules selected and arranged around the edge gateway, one edge gateway is connected with at least one collection and control group or collection and control device to form an intra-domain communication network, and at least one edge gateway is connected with the management cloud platform to form a backbone communication network;
the edge gateway comprises a CM edge gateway, wherein the CM edge gateway comprises a CM module which is a calculation module based on X86/ARM/RISC-V and is used as a device main control center to finish main calculation tasks;
the expansion board comprises a security chip, a backbone network communication module and an intra-domain communication module;
the security chip completes encryption and decryption calculation by special hardware, realizes encryption and decryption, signature verification and hash calculation, selects any one or combination of a national encryption chip, a foreign standard encryption chip and a user design chip to respectively support a national encryption algorithm, a foreign password algorithm and a user design password algorithm, and all control flow information and data flow information are encrypted and decrypted by the security chip; realizing symmetric encryption and decryption, asymmetric encryption and decryption, user-set encryption and decryption, signature and verification and hash settlement;
the trunk communication module is matched with the Ethernet port, the WiFi module and the 4G/5G module to realize the connection between the edge gateway and the cloud platform;
the intra-domain communication module is used for selecting and matching the power carrier module, the Modbus module and the LoRa module to realize the connection from the intra-domain equipment to the edge gateway;
when the intra-domain equipment is accessed to the CM edge gateway, identity authentication based on identification is needed to be carried out on the equipment, legal equipment is allowed to pass through the access, the reality and effectiveness of the intra-domain equipment are ensured, and various attacks are prevented;
the CM edge gateway can send control instructions sent by the cloud platform to various in-domain devices, can upload data information collected by the in-domain devices to the cloud platform, and data flow and instruction flow information are encrypted by the security chip, so that information security is ensured;
the CM edge gateway collects data signals in a polling or on-demand query mode, and the collected data are sent to the CM computing module for data processing through a corresponding communication interface of the intra-domain communication module;
the CM computing module processes the acquired data and uploads the data to the cloud platform through the trunk communication module; the CM computing module uploads the acquired data and the formulated strategy to the cloud platform to perform corresponding judgment of the acquired data in real time, the intra-domain communication module issues a control instruction sent by the cloud platform to the remote equipment to control the remote equipment, and the CM computing module feeds back a data processing result and an instruction execution result to upload the data to the cloud platform through the trunk communication module;
the user setting encryption method comprises the following steps: encrypting the electric energy parameter, the water flow parameter, the water immersion signal, the acceleration, the environmental parameter and the reference value difference, wherein the encryption comprises the steps of randomly generating a first color two-dimensional code, carrying out color value formation on the electric energy parameter, the water flow parameter, the water immersion signal, the acceleration, the environmental parameter and the reference value difference, endowing color values corresponding to all data to square points in the selected two-dimensional code through a random algorithm, and encrypting the operation parameter by taking the formed two-dimensional code endowed with the color value as a password;
the video encryption comprises the steps of randomly selecting a plurality of frames of a video, selecting and arranging the frames into an encrypted image according to a preset sequence, extracting color values of 5-10 pixel points in the encrypted image according to a preset selection method, arranging the color values into a digital string according to an extraction sequence, and encrypting video data by taking the digital string as a key;
randomly selecting the amplitude of the audio at a plurality of time points for the encryption of the audio, selecting and arranging a plurality of values of the amplitude into a digital string according to a preset sequence, and encrypting the audio data by taking the digital string as a key;
and for strategy encryption, randomly generating a second color two-dimensional code, carrying out color value formation on the model parameters, endowing the color values corresponding to the model parameters to square points in the selected two-dimensional code through a random algorithm, and forming the two-dimensional code endowed with the color values as a password to encrypt the strategy.
2. The mining control platform of claim 1, wherein the plurality of data acquisition modules include any one or combination of electricity meters, water meters, environmental sensors, motion sensors, and a plurality of in-domain device control modules.
3. The mining control platform of claim 2, wherein the plurality of intra-domain device control modules include digital multimedia devices, computer network devices, environmental monitoring, information distribution devices, and internet of things devices.
4. The mining control platform according to any one of claims 1-3, wherein the backbone communication is selected from an ethernet port, a WiFi module or a 4G/5G module, so as to realize connection of an edge gateway to a cloud platform; and the intra-domain communication is matched with the power carrier module, the Modbus module and the LoRa module to realize connection from the intra-domain equipment to the edge gateway.
5. The mining control platform of claim 1, wherein the management cloud platform comprises: the data receiving module comprises a data processing center for processing the data uploaded by the edge gateway and storing the processed data into the data system module;
the data system module comprises a time sequence database for storing early warning/alarm information and state parameters for inquiry, and a relation entry relational database between the early warning/alarm information and state parameters and the positions of various data acquisition modules and/or various intra-domain equipment control modules;
the universal module comprises a login and authorization module, an information maintenance module, a data engine module and a 3D modeling module, wherein the login and authorization module and the information maintenance module respectively provide the login system of an operator and the functions of operation right grant and equipment information management; the data engine module and the 3D modeling module render a 3D scene according to the scene data and the equipment information respectively;
and a service module: the device comprises a 3D scene module, wherein according to equipment information, the 3D scene module is used for gathering and displaying: the equipment room comprises equipment room cabinet capacity, security monitoring access control, digital multimedia equipment, computer network equipment, environment monitoring, information release equipment, internet of things equipment, comprehensive pipeline equipment distribution, running state, data display and control operation;
early warning alarm processing module: the method comprises the steps of performing remote intra-domain equipment control operation and self-defining remote intra-domain equipment control operation according to a treatment strategy;
asset management module: the method is used for managing and displaying various assets such as energy consumption machine room cabinets, equipment, network equipment, monitoring equipment, access control equipment, information release equipment, pipelines, internet of things equipment and the like in a building;
and the energy consumption management module is used for: the method comprises the steps of collecting, analyzing and controlling the data of energy consumption nodes in a building, collecting and displaying the data of each energy consumption node, processing, analyzing, converging and displaying the data, and controlling and managing energy consumption equipment according to an energy consumption management strategy;
and the safe operation and maintenance management module is used for: the method comprises the steps of performing control management on various intra-domain devices to realize early warning information management, alarm information management and remote intra-domain device control operation and user-defined remote intra-domain device control operation by sending instructions to an early warning alarm processing module; in the connection with the traditional edge gateway, the safety operation and maintenance management module also carries out equipment safety strategy formulation and environment safety strategy formulation on the collected data information of various data collection modules;
and the security management module is used for: monitoring, entrance guard and security equipment management, linking with other information management modules, and realizing security information integration according to security policies;
and a data analysis module: the system comprises data analysis functions such as energy consumption load measurement, energy consumption analysis, energy consumption comparison analysis, safe operation and data analysis, operation analysis of various devices, security information analysis, information release analysis and the like;
report management module: providing various operation and maintenance reports, management reports, early warning alarm reports, energy consumption analysis reports, security analysis reports and information analysis reports;
the front-end display module is used for controlling operation and maintenance management by adopting a management page/APP/applet in a plurality of front-end modes and displaying various operation and maintenance information, environment information, security information and equipment information by adopting a digital large-screen 3D scene.
6. The mining control platform of claim 5, wherein the legacy edge gateway is a CM edge gateway with CM modules omitted.
7. The mining control platform of claim 6, wherein the device security policy formulation and environmental security policy formulation include:
s1, dividing data streams acquired from various data acquisition modules and/or various intra-domain equipment control modules into a plurality of data sets according to an acquisition time sequence, and preprocessing the data sets; the data flows collected by the various data collection modules and/or the various intra-domain equipment control modules respectively comprise an electric energy parameter, a water meter, an environment sensor, an electric energy parameter, a water flow parameter, a water immersion signal and an acceleration which are respectively represented by the motion sensor, and/or a digital multimedia device, a computer network device, an environment monitoring device, an information release device, a video, an audio and an environment parameter which are represented by an Internet of things device, internet of things connection information and network speed information, wherein the preprocessing of the electric energy parameter, the water flow parameter, the water immersion signal and the acceleration is respectively temperature correction, speed correction, air humidity correction, image or light intensity correction of the parameters is background correction, the preprocessing of the video, the audio and the environment parameter is background correction, and the preprocessing of the Internet of things connection information and the network speed information is differential with a reference value;
s2, manually classifying the preprocessed data groups in the S1 into a normal group, an early warning group and an abnormal group, and dividing the normal group, the early warning group and the abnormal group into a training set and a verification set respectively, wherein the ratio is 5-3:1;
s3, constructing a neural network model, taking a training set and manual classification as a label input model, outputting the prediction probability of classification through a classification model at an output end, verifying the accuracy by using a verification set, calculating a loss function value, and optimizing network parameters; continuously inputting a training set for training until the loss function value tends to be stable, and finishing the training with the highest accuracy;
s4, acquiring real-time data, inputting the real-time data into the neural network model trained in the S3 after preprocessing as in the S1, obtaining the classification of the current data set, forming a device safety strategy and/or an environment safety strategy according to the classification result, when the result is normal, not performing any operation, sending out early warning information when early warning, controlling operation parameters when abnormal so as to enable the early warning information to be maintained in a normal range, and sending out alarm information to the controlled remote intra-domain device and performing remote operation on the state of the switch device if the maintenance fails.
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