CN117200421B - Safe weak current power distribution equipment based on Internet of things and intelligent control method thereof - Google Patents
Safe weak current power distribution equipment based on Internet of things and intelligent control method thereof Download PDFInfo
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Abstract
The invention relates to the field of weak current power distribution control, in particular to a safe weak current power distribution device based on the Internet of things and an intelligent control method thereof, wherein the safe weak current power distribution device comprises a UPS power host for providing uninterrupted power supply for weak current devices; the UPS power supply host comprises a plurality of power distribution groups, wherein each power distribution group comprises an energy storage device and a transformer connected with an external power supply; the internet of things server is used for distributing power when receiving the data processing instruction; the data switch is used for connecting the Internet of things server through the optical fiber network card and connecting the cloud master control platform; the cloud master control platform is used for generating a power distribution instruction according to the data processing capacity of the Internet of things server and weak current equipment, and comprises a power distribution simulation unit used for performing power distribution simulation according to the data processing capacity and the weak current equipment.
Description
Technical Field
The invention relates to the technical field of weak current control, in particular to safe weak current power distribution equipment based on the Internet of things and an intelligent control method thereof.
Background
At present, with the rapid development of communication, microelectronics, artificial intelligence, automatic control and other technologies, a brand new network concept, namely the internet of things, appears. The internet of things is the interconnection of the things and the things, and the communication between people and the things and between the things is realized by adopting a computer technology, a wireless sensor technology, an RFID (radio frequency identification) technology and the like and taking the internet as the basis. The application of the Internet of things is wide, and the Internet of things can be applied to various different occasions, such as the fields of environment monitoring, traffic management, agricultural production, medical and health, intelligent home, security monitoring and the like.
However, in the field of weak-current equipment configuration control of the internet of things, weak-current equipment often causes equipment failure and unstable equipment operation due to unstable distribution.
For the distribution equipment of weak current equipment, in the aspect of distribution control, there are some weak current entity's switch cabinets, but generally intelligent control and automatic control cannot be realized.
Disclosure of Invention
The invention provides a safe weak-current power distribution device based on the Internet of things and an intelligent control method thereof, which are used for solving the problems that in the field of weak-current device configuration control of the Internet of things, equipment faults and unstable operation of the equipment are caused by unstable power distribution of weak-current equipment.
The invention provides a safe weak current power distribution device based on the Internet of things, which comprises:
the UPS power supply host is used for providing uninterrupted power supply for weak current equipment; wherein,
the UPS power supply host comprises a plurality of power distribution groups, wherein each power distribution group comprises an energy storage device and a transformer connected with an external power supply;
the internet of things server is used for distributing power when receiving the data processing instruction;
the data switch is used for connecting the Internet of things server through the optical fiber network card and connecting the cloud master control platform; wherein,
the cloud general control platform is used for generating a power distribution instruction according to the data processing amount of the Internet of things server and weak current equipment, and comprises a power distribution simulation unit used for performing power distribution simulation according to the data processing amount and the weak current equipment.
An intelligent control method of safe weak current power distribution equipment comprises the following steps:
receiving a data calling instruction sent by a user terminal through a cloud general control platform, and determining data processing data of an Internet of things server; wherein,
the data processing data includes: weak current device data, power data, and device association data;
generating a response configuration instruction at the Internet of things server according to the weak current equipment data;
receiving a response configuration instruction through the UPS host, and controlling the power distribution group to be connected with weak current equipment;
generating a distribution instruction at the Internet of things server according to the power data and the equipment association data;
and receiving a response power distribution instruction through the UPS host, and controlling the power distribution group to supply power for the connected weak current equipment.
Preferably, the data call instruction comprises an index instruction, a function call instruction, a power supply reference instruction and a device identification coding instruction; wherein,
the index instruction is a control call instruction for calling the weak current equipment through the weak current equipment data index relation;
the function call instruction is to conduct data transmission guiding control through a weak current equipment data transmission path;
the power supply reference instruction is power supply parameter reference setting of the weak current equipment and is used for configuring power supply references of different weak current equipment;
the device identification coding instruction is the identification authentication of weak current devices and is used for authenticating different weak current devices.
Preferably, the weak current device comprises a POE switch; wherein,
the POE switch is provided with a patrol camera and a magnetic field sensor;
transmitting the line data of the connected weak current equipment to a cloud master control platform through a patrol camera to evaluate the line integrity;
and the magnetic field intensity of the weak electric equipment connecting line is sensed through the magnetic field sensor, and the magnetic field interference is judged.
Preferably, the response configuration instruction includes the following generation steps:
determining weak current equipment for generating a configuration instruction, and generating virtual DTU equipment;
loading a plurality of instructions to be configured in the virtual DTU equipment;
sequencing a plurality of instructions to be configured through virtual DTU equipment and integrating the instructions into a DTU instruction set; wherein,
the DTU instruction set comprises source codes of weak current equipment to be called;
setting instruction response parameters based on source code identification according to a DTU instruction set;
and the instruction response parameters are sent to the Internet of things server in advance, and a response feedback mechanism is generated in the Internet of things server.
Preferably, the response feedback mechanism includes:
generating an editing registry of the weak current equipment according to the instruction response parameters; wherein,
editing a registry to include process parameters of each weak current device;
generating a record pointer when executing instructions according to the editing registry;
generating global variable parameters based on instruction tracking by recording pointers;
sending response feedback information to a cloud master platform through a preset auxiliary thread; wherein,
when the auxiliary thread is started and the execution instruction is input to the weak current equipment, if the global variable parameter is not changed, a constant response is generated;
when the auxiliary thread is started and the execution instruction is input to the weak current equipment, if the global variable parameter changes, the global parameter based on linear feedback is generated through fusion of the auxiliary thread and the global variable parameter, and a feedback mechanism is formed.
Preferably, the power distribution instruction is determined by power distribution calculation: wherein,
the power distribution calculation steps are as follows:
determining power supply parameters of the UPS host according to the power data; wherein,
the power supply parameters comprise power supply voltage, power supply power, power supply energy and a power supply path;
according to the equipment association data, determining power supply paths and power supply association of different weak current equipment;
determining a path map of power supply distribution according to the power supply parameters and the power supply paths;
and determining the parallel-serial connection relation of power supplies of different paths according to the path map and the power supply relevance, and generating a power distribution instruction.
Preferably, the cloud master platform is further configured to:
monitoring temperature data and partial discharge data of weak current equipment respectively to obtain monitoring data;
transmitting the monitoring data to a cloud master platform after the monitoring data are classified through distortion; wherein,
the distortion classification is used for dividing the monitoring data according to the distortion data and the normal monitoring data;
the cloud general control platform marks the distortion points of the distortion data by adopting a fixed-point marking method based on a time axis, and performs distortion feature extraction and distortion degree classification on the de-marked distortion data by adopting a projection classifier;
and judging risk values of different weak current devices according to the distortion degree classification, and alarming through an alarm unit.
Preferably, the cloud master platform is further configured to:
acquiring real-time power load and power load predicted values of a UPS power host through a cloud general control platform, and determining power adequacy;
judging that the supply risk of insufficient power supply exists according to the power adequacy; wherein,
when the supply risk does not exist, a power supply load network is built according to different weak current equipment, power supply stable values of the different weak current equipment are calculated through the power supply load network, and power supply optimization is performed based on the power supply stable values and a preset reference power supply stable value;
the preset reference power supply stable value comprises an overall stable value and a single stable value of single weak current equipment;
when the supply risk exists, calculating the performance stability of different weak current equipment under the current power supply by taking the performance cost of the different weak current equipment as a constraint condition, and closing the weak current equipment of which the performance stability does not reach a preset reference power supply stability value; wherein,
when the weak current equipment is closed, equipment closing sequence is carried out according to preset equipment importance, the equipment is sequentially closed according to the equipment closing sequence, and when the weak current equipment is closed, total supply risk calculation is carried out, and when the total supply risk reaches a total stable value, the weak current equipment is stopped to be closed.
Preferably, the cloud master platform is further configured to:
calculating the importance of each weak current device;
sequencing weak current devices of the same type according to importance, sequentially deleting neighbor nodes of the same type, which have the distance smaller than a preset threshold value from the weak current devices with large importance values, until all the weak current devices are traversed;
after traversing, setting a weak current device priority transmission node according to importance;
according to the priority transmission node, determining a functional framework and a weight function for constructing weak current equipment;
according to the functional framework and the weight function of the weak current equipment, calculating the weight coefficient of the weak current equipment through the priori correlation coefficient;
and setting broadband values of transmission paths of monitoring data of different weak current devices according to the weight coefficients. The invention has the beneficial effects that:
the invention can solve the problem that weak current equipment in the prior art needs to carry out manual power configuration, and can realize automatic power distribution management and control. The power distribution simulation can be carried out in the power distribution process, and the power distribution simulation can also be carried out for power distribution monitoring, so that the accuracy of power distribution is ensured.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a device composition structure of a safe weak current power distribution device based on the internet of things in an embodiment of the invention;
fig. 2 is a flow chart of a method for intelligently controlling a safe weak current power distribution device according to an embodiment of the present invention;
FIG. 3 is a block diagram illustrating steps for generating a response configuration command according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The invention provides a safe weak current power distribution device based on the Internet of things, which comprises:
the UPS power supply host is used for providing uninterrupted power supply for weak current equipment; wherein,
the UPS power supply host comprises a plurality of power distribution groups, wherein each power distribution group comprises an energy storage device and a transformer connected with an external power supply;
the internet of things server is used for distributing power when receiving the data processing instruction;
the data switch is used for connecting the Internet of things server through the optical fiber network card and connecting the cloud master control platform; wherein,
the cloud general control platform is used for generating a power distribution instruction according to the data processing amount of the Internet of things server and weak current equipment, and comprises a power distribution simulation unit used for performing power distribution simulation according to the data processing amount and the weak current equipment.
The principle of the technical scheme is as follows:
as shown in figure 1, the invention is formed by supplying power to weak current equipment through a UPS host machine to provide uninterrupted power supply.
A plurality of power distribution groups exist in the UPS host, and the power distribution groups can be used for energy storage configuration so as to realize variable-voltage power supply;
the Internet of things server is used for connecting weak current equipment, and then generating a power distribution scheme through the data transmission state of each weak current equipment to perform power distribution control;
the data switch is a network switch capable of connecting light rays and is connected with a cloud network; the cloud network is provided with a cloud total control platform, and the cloud total control platform can be connected with terminal equipment of a user to realize remote weak current configuration management and control, so that the process of power distribution is simulated, and the data processing capacity and the power distribution simulation control of the weak current equipment are ensured.
The beneficial effects of the technical scheme are that:
the invention can solve the problem that weak current equipment in the prior art needs to carry out manual power configuration, and can realize automatic power distribution management and control.
The power distribution simulation can be carried out in the power distribution process, and the power distribution simulation can also be carried out for power distribution monitoring, so that the accuracy of power distribution is ensured.
The intelligent control method of the safe weak current power distribution equipment comprises the following steps:
receiving a data calling instruction sent by a user terminal through a cloud general control platform, and determining data processing data of an Internet of things server; wherein,
the data processing data includes: weak current device data, power data, and device association data;
generating a response configuration instruction at the Internet of things server according to the weak current equipment data;
receiving a response configuration instruction through the UPS host, and controlling the power distribution group to be connected with weak current equipment;
generating a distribution instruction at the Internet of things server according to the power data and the equipment association data;
and receiving a response power distribution instruction through the UPS host, and controlling the power distribution group to supply power for the connected weak current equipment.
The principle of the technical scheme is as follows:
as shown in fig. 2, in the process of intelligent control of the power distribution equipment, weak current equipment needing power distribution is determined through a configuration instruction sent by a user terminal, and then power distribution calculation of the weak current equipment is realized through data processing of an internet of things server, so that the power distribution is controlled through a UPS power supply host, and power distribution management and control are performed on different weak current equipment.
The cloud total control platform is a weak current power distribution total control terminal controlled through a cloud server, and can call data in an Internet of things server of weak current power distribution equipment to realize cloud management and control.
The data processing data are weak current equipment management data, the weak current equipment data comprise operation data, identification data, position data and the like of the weak current equipment, the power data are power supply data and power use data of the weak current equipment, and the equipment related data are data of other equipment connected with the weak current equipment.
The response configuration instruction can be generated through the weak current equipment, the response configuration instruction is an instruction for controlling equipment connected or controlled by different weak current equipment, and then the power distribution equipment in the power distribution group is connected with the weak current equipment to supply power for the weak current equipment.
The power data and the equipment association data can generate data of power distribution in the Internet of things server, namely, accurate power distribution of different power distribution equipment is carried out according to the power data of real-time power supply and the power consumption data of weak current equipment.
The beneficial effects of the technical scheme are that:
the host power supply is controlled to automatically distribute power for different weak current devices through intelligent control of the weak current devices. And judging a power distribution result through various configuration response instructions to realize power distribution monitoring.
Specifically, the data call instruction comprises an index instruction, a function call instruction, a power supply reference instruction and a device identification coding instruction; wherein,
the index instruction is a control call instruction for calling the weak current equipment through the weak current equipment data index relation;
the function call instruction is to conduct data transmission guiding control through a weak current equipment data transmission path;
the power supply reference instruction is power supply parameter reference setting of the weak current equipment and is used for configuring power supply references of different weak current equipment;
the device identification coding instruction is the identification authentication of weak current devices and is used for authenticating different weak current devices.
The principle of the technical scheme is as follows:
according to the invention, through various data calling instructions, the Internet of things server is controlled to make a power distribution plan so as to carry out power distribution calling.
In the specific configuration process, the method specifically comprises an index instruction, which is used for carrying out data index of different weak current devices, inquiring different weak current devices and controlling the weak current devices, when the index instruction is sent out, an automatic generation device identification code instruction is used for carrying out weak current device authentication, the weak current device control can be carried out after the authentication is successful, and a function call instruction and a power supply reference instruction can be generated after the identification authentication is carried out based on the identification code instruction.
The beneficial effects of the technical scheme are that:
the method and the device can perform index control of different weak current devices, perform authentication of the weak current devices, and realize data transmission control, power supply reference configuration and device call control of the weak current devices after authentication is successful.
Specifically, the weak current equipment comprises a POE switch; wherein,
the POE switch is provided with a patrol camera and a magnetic field sensor;
transmitting the line data of the connected weak current equipment to a cloud master control platform through a patrol camera to evaluate the line integrity;
and the magnetic field intensity of the weak electric equipment connecting line is sensed through the magnetic field sensor, and the magnetic field interference is judged.
The principle of the technical scheme is as follows:
this application is patrolled and examined control and magnetic field response through POE switch, detects the circuit of light current equipment through patrolling and examining the camera, judges near electromagnetic interference to the switch through magnetic field inductor.
The beneficial effects of the technical scheme are that:
the method and the device can judge whether the circuit of the weak current equipment is damaged or not and is abnormal through inspection control, and the magnetic field sensor can judge overall magnetic field interference, so that anti-interference treatment is realized.
Specifically, the response configuration instruction includes the following generation steps:
determining weak current equipment for generating a configuration instruction, and generating virtual DTU equipment;
loading a plurality of instructions to be configured in the virtual DTU equipment;
sequencing a plurality of instructions to be configured through virtual DTU equipment and integrating the instructions into a DTU instruction set; wherein,
the DTU instruction set comprises source codes of weak current equipment to be called;
setting instruction response parameters based on source code identification according to a DTU instruction set;
and the instruction response parameters are sent to the Internet of things server in advance, and a response feedback mechanism is generated in the Internet of things server.
The principle of the technical scheme is as follows:
as shown in fig. 3, the instruction sequencing and source code encoding can be performed in the instruction configuration process by responding to the generation of the configuration instruction, so that power distribution feedback information can be generated when a power distribution instruction is sent out.
The DTU equipment is a data transmission product of wireless communication, the virtual DTU equipment is firstly generated, virtual configuration of weak current equipment control instructions can be realized, automatic sequencing of the weak current equipment control instructions is realized, quick importing and deleting of any instructions can be realized based on a virtual DTU automatic configuration program, and a corresponding instruction set is further generated, so that direct calling of the instructions is performed without real-time transmission importing control when weak current equipment control is performed. And finally, the response feedback of the instructions is realized through the Internet of things server, and each instruction can be quickly called and implemented through a DTU instruction set and can be quickly fed back when weak current equipment is controlled.
The beneficial effects of the technical scheme are that:
according to the method and the device, response feedback of the instructions can be achieved, and when weak current equipment is controlled, each instruction can be rapidly called and implemented through a DTU instruction set, and rapid feedback can be achieved.
Specifically, the response feedback mechanism includes:
generating an editing registry of the weak current equipment according to the instruction response parameters; wherein,
editing a registry to include process parameters of each weak current device;
generating a record pointer when executing instructions according to the editing registry;
generating global variable parameters based on instruction tracking by recording pointers;
sending response feedback information to a cloud master platform through a preset auxiliary thread; wherein,
when the auxiliary thread is started and the execution instruction is input to the weak current equipment, if the global variable parameter is not changed, a constant response is generated;
when the auxiliary thread is started and the execution instruction is input to the weak current equipment, if the global variable parameter changes, the global parameter based on linear feedback is generated through fusion of the auxiliary thread and the global variable parameter, and a feedback mechanism is formed.
The principle of the technical scheme is as follows:
when the response feedback mechanism is executed, the process record of the weak current equipment can be realized through the registry of the weak current equipment, and when each process of the weak current equipment executes different instructions through the record pointer, the process carries out instruction tracking; the recording pointer is a directional pointer guiding technology based on data tracking, and can perform real-time execution information feedback through global variables of equipment execution parameters when any instruction is executed.
In the process, the fed-back information is transmitted to the cloud end and the Internet of things server through the auxiliary thread, and further can be transmitted to the user end.
The beneficial effects of the technical scheme are that:
when the weak current equipment receives any control instruction, the method and the device can automatically feed back all the control instructions, and transmit instruction execution information to the cloud and the Internet of things server, so that dynamic monitoring of instruction execution results is realized.
Specifically, the power distribution instruction is determined by power distribution calculation: wherein,
determining power supply parameters of the UPS host according to the power data; wherein,
the power supply parameters comprise power supply voltage, power supply power, power supply energy and a power supply path;
according to the equipment association data, determining power supply paths and power supply association of different weak current equipment;
determining a path map of power supply distribution according to the power supply parameters and the power supply paths;
and determining the parallel-serial connection relation of power supplies of different paths according to the path map and the power supply relevance, and generating a power distribution instruction.
The principle of the technical scheme is as follows:
in the process of implementing the equipment power distribution instruction, power distribution calculation is needed, in the process of power distribution calculation, power supply data are needed to be determined firstly, the power supply data are determined through a USP host, and the power supply parameters embody the total energy of the real-time power supply voltage, power and power supply electric quantity and a power supply transmission path of the USP host connected with power supply equipment;
and then judging whether a power supply path exists between different weak current devices and whether the relevance exists when power is supplied or not through the device association data, the connection relation and the control relation among the devices of different multi-day devices.
And finally, determining a weak current equipment distribution map of weak current equipment which needs to be powered and a general path map of power supply through the power supply data and the power supply path.
And finally, judging the serial and parallel connection relations among different weak current devices through the path map and the power supply relevance, and realizing global distribution control and global distribution calculation of the weak current devices.
The beneficial effects of the technical scheme are that:
the distribution judgment, the power supply path judgment and the power supply relevance judgment of different weak current devices can be realized, so that a power distribution instruction is generated in a mode based on global supervision and global integration calculation, and the power supply stability of each weak current device is ensured.
Specifically, the cloud master platform is further configured to:
monitoring temperature data and partial discharge data of weak current equipment respectively to obtain monitoring data;
transmitting the monitoring data to a cloud master platform after the monitoring data are classified through distortion; wherein,
the distortion classification is used for dividing the monitoring data according to the distortion data and the normal monitoring data;
the cloud general control platform marks the distortion points of the distortion data by adopting a fixed-point marking method based on a time axis, and performs distortion feature extraction and distortion degree classification on the de-marked distortion data by adopting a projection classifier;
and judging risk values of different weak current devices according to the distortion degree classification, and alarming through an alarm unit.
The principle of the technical scheme is as follows:
the invention monitors the weak current equipment, determines the temperature data and the partial discharge data of each weak current equipment, further carries out automatic classification processing on the monitoring data through distortion classification, and judges the alarm information of the weak current equipment.
The distortion classification is to divide monitoring data into normal monitoring data and abnormal data, wherein the distortion data is risk monitoring data which is not in a preset normal data interval, the fixed point marking method can calculate a time point for generating the distortion data based on a time axis, further extract characteristic data of a reason for generating the distortion data at the distortion time point, classify the reason for generating the distortion, judge possible risks and alarm.
The beneficial effects of the technical scheme are that:
compared with the prior art, the risk degree division can be carried out when risk judgment is carried out through division of distortion data, and risk alarms of different grades are carried out according to different risk values. Abnormal supervision is performed in a distortion mode, so that the reasons for occurrence of abnormal data, the speed for supervision and judgment and the synchronous improvement of alarm speed can be ensured.
Specifically, the cloud master platform is further configured to:
acquiring real-time power load and power load predicted values of a UPS power host through a master control platform, and determining power adequacy;
judging that the supply risk of insufficient power supply exists according to the power adequacy; wherein,
when the supply risk does not exist, a power supply load network is built according to different weak current equipment, power supply stable values of the different weak current equipment are calculated through the power supply load network, and power supply optimization is performed based on the power supply stable values and a preset reference power supply stable value; the ring is arranged on the round-trip wheel,
the preset reference power supply stable value comprises an overall stable value and a single stable value of single weak current equipment;
when the supply risk exists, calculating the performance stability of different weak current equipment under the current power supply by taking the performance cost of the different weak current equipment as a constraint condition, and closing the weak current equipment of which the performance stability does not reach a preset reference power supply stability value; wherein,
when the weak current equipment is closed, equipment closing sequence is carried out according to preset equipment importance, the equipment is sequentially closed according to the equipment closing sequence, and when the weak current equipment is closed, overall supply risk calculation is carried out, and when the overall supply risk reaches an overall stable value, the weak current equipment is stopped.
The principle of the technical scheme is as follows:
according to the invention, the cloud master control platform is used for carrying out power load calculation on the UPS power supply host, so that each power adequacy and constraint condition are determined, and the maximum economic benefit can be realized when the power distribution is judged, thereby controlling the power distribution balance and the power distribution energy conservation.
When the method is implemented, the whole power supply risk can be calculated by calculating the power adequacy, then the power supply is optimized and the weak current equipment is closed according to the power supply risk, when the power supply risk does not exist, the power supply is optimized, namely the weak current equipment exceeding the stable value of the power supply equipment reduces the power supply, and the weak current equipment with the stable value which does not reach the preset reference power supply stable value is supplemented;
and aiming at the weak current equipment which is turned off when the supply risk exists, the weak current equipment is turned off according to the importance of the weak current equipment, and finally the whole power supply is in a stable state.
Specifically, the cloud master platform is further configured to:
calculating the importance of each weak current device;
sequencing weak current devices of the same type according to importance, sequentially deleting neighbor nodes of the same type, which have the distance smaller than a preset threshold value from the weak current devices with large importance values, until all the weak current devices are traversed;
after traversing, setting a weak current device priority transmission node according to importance;
according to the priority transmission node, determining a functional framework and a weight function for constructing weak current equipment;
according to the functional framework and the weight function of the weak current equipment, calculating the weight coefficient of the weak current equipment through the priori correlation coefficient;
and setting broadband values of transmission paths of monitoring data of different weak current devices according to the weight coefficients.
The principle of the technical scheme is as follows:
according to the method and the device, the importance of each weak current device can be judged through traversal detection of each weak current device, and based on the importance, when power distribution and power supply selection is conducted, power supply is conducted preferentially based on the importance of the weak current device.
Meanwhile, the data transmission priority of the weak current equipment is set according to the importance, the weak current equipment of the traditional Chinese medicine is a priority transmission node, and for the important weak current equipment, the weight coefficient of the weak current equipment is calculated according to the functional framework (the classification framework of the execution function of all the weak current equipment) and the weight function, wherein the weight coefficient is the importance of the weak current equipment for monitoring data in the whole weak current equipment, so that the broadband value of the weak current equipment is regulated, and the stable data flow of the weak current equipment is ensured when the data is transmitted.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (9)
1. Safe weak current distribution equipment based on thing networking, its characterized in that includes:
the UPS power supply host is used for providing uninterrupted power supply for weak current equipment; wherein,
the UPS power supply host comprises a plurality of power distribution groups, wherein each power distribution group comprises an energy storage device and a transformer connected with an external power supply;
the internet of things server is used for distributing power when receiving the data processing instruction;
the data switch is used for connecting the Internet of things server through the optical fiber network card and connecting the cloud master control platform; wherein,
the cloud end total control platform is used for generating a power distribution instruction according to the data processing amount of the Internet of things server and the weak current equipment, and comprises a power distribution simulation unit for performing power distribution simulation according to the data processing amount and the weak current equipment;
the cloud general control platform is further used for:
acquiring real-time power load and power load predicted values of a UPS power host through a cloud general control platform, and determining power adequacy;
judging that the supply risk of insufficient power supply exists according to the power adequacy; wherein,
when the supply risk does not exist, a power supply load network is built according to different weak current equipment, power supply stable values of the different weak current equipment are calculated through the power supply load network, and power supply optimization is performed based on the power supply stable values and a preset reference power supply stable value;
the preset reference power supply stable value comprises an overall stable value and a single stable value of single weak current equipment;
when the supply risk exists, calculating the performance stability of different weak current equipment under the current power supply by taking the performance cost of the different weak current equipment as a constraint condition, and closing the weak current equipment of which the performance stability does not reach a preset reference power supply stability value; wherein,
when the weak current equipment is closed, equipment closing sequence is carried out according to preset equipment importance, the equipment is sequentially closed according to the equipment closing sequence, and when the weak current equipment is closed, total supply risk calculation is carried out, and when the total supply risk reaches a total stable value, the weak current equipment is stopped to be closed.
2. An intelligent control method for a safe weak current power distribution device, which is applicable to the safe weak current power distribution device as claimed in claim 1, and is characterized by comprising:
receiving a data calling instruction sent by a user terminal through a cloud general control platform, and determining data processing data of an Internet of things server; wherein,
the data processing data includes: weak current device data, power data, and device association data;
generating a response configuration instruction at the Internet of things server according to the weak current equipment data;
receiving a response configuration instruction through the UPS host, and controlling the power distribution group to be connected with weak current equipment;
generating a distribution instruction at the Internet of things server according to the power data and the equipment association data;
receiving a response power distribution instruction through a UPS host, and controlling a power distribution group to supply power for connected weak current equipment;
the cloud general control platform is further used for:
acquiring real-time power load and power load predicted values of a UPS power host through a cloud general control platform, and determining power adequacy;
judging that the supply risk of insufficient power supply exists according to the power adequacy; wherein,
when the supply risk does not exist, a power supply load network is built according to different weak current equipment, power supply stable values of the different weak current equipment are calculated through the power supply load network, and power supply optimization is performed based on the power supply stable values and a preset reference power supply stable value;
the preset reference power supply stable value comprises an overall stable value and a single stable value of single weak current equipment;
when the supply risk exists, calculating the performance stability of different weak current equipment under the current power supply by taking the performance cost of the different weak current equipment as a constraint condition, and closing the weak current equipment of which the performance stability does not reach a preset reference power supply stability value; wherein,
when the weak current equipment is closed, equipment closing sequence is carried out according to preset equipment importance, the equipment is sequentially closed according to the equipment closing sequence, and when the weak current equipment is closed, total supply risk calculation is carried out, and when the total supply risk reaches a total stable value, the weak current equipment is stopped to be closed.
3. The intelligent control method of a safety weak current power distribution apparatus according to claim 2, wherein the data call instruction includes an index instruction, a function call instruction, a power supply reference instruction, and an apparatus identification code instruction; wherein,
the index instruction is a control call instruction for calling the weak current equipment through the weak current equipment data index relation;
the function call instruction is to conduct data transmission guiding control through a weak current equipment data transmission path;
the power supply reference instruction is power supply parameter reference setting of the weak current equipment and is used for configuring power supply references of different weak current equipment;
the device identification coding instruction is the identification authentication of weak current devices and is used for authenticating different weak current devices.
4. The intelligent control method of a safe weak current power distribution device according to claim 2, wherein the weak current device comprises a POE switch; wherein,
the POE switch is provided with a patrol camera and a magnetic field sensor;
transmitting the line data of the connected weak current equipment to a cloud master control platform through a patrol camera to evaluate the line integrity;
and the magnetic field intensity of the weak electric equipment connecting line is sensed through the magnetic field sensor, and the magnetic field interference is judged.
5. The intelligent control method of a safe weak current power distribution apparatus according to claim 2, wherein said response configuration instruction comprises the steps of:
determining weak current equipment for generating a configuration instruction, and generating virtual DTU equipment;
loading a plurality of instructions to be configured in the virtual DTU equipment;
sequencing a plurality of instructions to be configured through virtual DTU equipment and integrating the instructions into a DTU instruction set; wherein,
the DTU instruction set comprises source codes of weak current equipment to be called;
setting instruction response parameters based on source code identification according to a DTU instruction set;
and the instruction response parameters are sent to the Internet of things server in advance, and a response feedback mechanism is generated in the Internet of things server.
6. The intelligent control method for a safe weak current power distribution apparatus according to claim 5, wherein said response feedback mechanism comprises:
generating an editing registry of the weak current equipment according to the instruction response parameters; wherein,
editing a registry to include process parameters of each weak current device;
generating a record pointer when executing instructions according to the editing registry;
generating global variable parameters based on instruction tracking by recording pointers;
sending response feedback information to a cloud master platform through a preset auxiliary thread; wherein,
when the auxiliary thread is started and the execution instruction is input to the weak current equipment, if the global variable parameter is not changed, a constant response is generated;
when the auxiliary thread is started and the execution instruction is input to the weak current equipment, if the global variable parameter changes, the global parameter based on linear feedback is generated through fusion of the auxiliary thread and the global variable parameter, and a feedback mechanism is formed.
7. The intelligent control method of a safety low-current power distribution device according to claim 2, wherein the power distribution instruction is determined by power distribution calculation: wherein,
the power distribution calculation steps are as follows:
determining power supply parameters of the UPS host according to the power data; wherein,
the power supply parameters comprise power supply voltage, power supply power, power supply energy and a power supply path;
according to the equipment association data, determining power supply paths and power supply association of different weak current equipment;
determining a path map of power supply distribution according to the power supply parameters and the power supply paths;
and determining the parallel-serial connection relation of power supplies of different paths according to the path map and the power supply relevance, and generating a power distribution instruction.
8. The intelligent control method of a safe weak current power distribution device according to claim 2, wherein the cloud master control platform is further configured to:
monitoring temperature data and partial discharge data of weak current equipment respectively to obtain monitoring data;
transmitting the monitoring data to a cloud master platform after the monitoring data are classified through distortion; wherein,
the distortion classification is used for dividing the monitoring data according to the distortion data and the normal monitoring data;
the cloud general control platform marks the distortion points of the distortion data by adopting a fixed-point marking method based on a time axis, and performs distortion feature extraction and distortion degree classification on the de-marked distortion data by adopting a projection classifier;
and judging risk values of different weak current devices according to the distortion degree classification, and alarming through an alarm unit.
9. The intelligent control method of a safe weak current power distribution device according to claim 2, wherein the cloud master control platform is further configured to:
calculating the importance of each weak current device;
sequencing weak current devices of the same type according to importance, sequentially deleting neighbor nodes of the same type, which have the distance smaller than a preset threshold value from the weak current devices with large importance values, until all the weak current devices are traversed;
after traversing, setting a weak current device priority transmission node according to importance;
according to the priority transmission node, determining a functional framework and a weight function for constructing weak current equipment;
according to the functional framework and the weight function of the weak current equipment, calculating the weight coefficient of the weak current equipment through the priori correlation coefficient;
and setting broadband values of transmission paths of monitoring data of different weak current devices according to the weight coefficients.
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