CN113885418B - Remote monitoring system and method for environmental parameters of multiple machine cabins - Google Patents
Remote monitoring system and method for environmental parameters of multiple machine cabins Download PDFInfo
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Abstract
The utility model discloses a remote monitoring system and method of many machine warehouses environmental parameter, this application is through setting up the data transceiver module that monitors processing module and possess the communication connection with a plurality of collection device in the different functional warehouses of quantum computer hardware system at the server, and set up display device, make each collection device in the different functional warehouses of quantum computer hardware system can be through the environmental parameter data real-time that will gather with the connection of server, remote transmission to the server, and carry out monitor processing and monitor result's show and early warning processing to the environmental parameter data of receiving at the server, thereby, the real-time remote monitoring to the environmental parameter of quantum computer multi-machine warehouses is realized to this application, work efficiency when can effectively improve the environmental parameter supervision to each functional warehouse of quantum computer, and reduce the interference that the manual supervision process brought.
Description
Technical Field
The application belongs to the technical field of information monitoring, and particularly relates to a remote monitoring system and method for environmental parameters of multiple machine cabins.
Background
The operation of the superconducting quantum computer is easy to be interfered by environment, temperature, humidity, noise and the like can possibly interfere the normal operation of the computer, if one of the conditions cannot meet the requirement, the experiment cannot be carried out, for example, the superconducting quantum computer needs an extremely low-temperature working environment, and a refrigerator needs to be diluted to enable the temperature to be below 20mk, so that the superconducting characteristic can be generated in the low-temperature environment.
The quantum computer is stored in a plurality of functional bins due to a plurality of hardware system devices, and the environmental parameter requirements of each functional bin are different. The integrated environment of the whole machine is the physical environment where the quantum computer works, all parts of equipment forming the quantum computer are integrated and packaged at present, the integrated machine cabin is divided into a plurality of machine cabins (functional cabins) according to functions, and the efficiency of signal transmission and the working efficiency of the whole machine are improved through the optimization on the physical layout.
For supervision of environmental parameters of each functional bin of the quantum computer, the prior art needs manual to-site supervision, and therefore an administrator is required to constantly walk in the bin to check the parameters, the subsequent operation can be performed on the quantum computer until the environmental parameters reach a proper range, the working efficiency is low, and the walking of personnel can generate vibration to influence the computing environment.
Disclosure of Invention
In view of this, the present application provides a remote monitoring system and method for environmental parameters of multiple machine cabins, so as to improve the working efficiency of the quantum computer when monitoring the environmental parameters of each functional cabin, and reduce the interference caused by the manual monitoring process.
The specific technical scheme is as follows:
a remote monitoring system for multiple-cabin environmental parameters, the system comprising:
the acquisition devices are arranged in different functional bins of the quantum computer hardware system and are used for acquiring environmental parameter data in the corresponding functional bins;
the server comprises a data receiving and transmitting module and a monitoring processing module; wherein: the data transceiver module is provided with communication connection with the plurality of acquisition devices and is used for receiving environment parameter data acquired by the plurality of acquisition devices arranged in different functional bins of the quantum computer hardware system; the monitoring processing module is used for respectively monitoring and processing the environmental parameter data acquired by the plurality of acquisition devices in the different received function bins based on the matched monitoring logic to obtain monitoring results of the environmental parameters in each function bin;
the display device is used for displaying the monitoring result of the environmental parameter in each functional bin on the interface, and carrying out early warning reminding on the interface under the condition that the monitoring result of the environmental parameter in the functional bin represents that the environmental parameter is abnormal.
Optionally, the system is divided into an application layer, a service layer and a data layer;
the plurality of acquisition devices arranged in different functional bins of the quantum computer hardware system are positioned on a data layer; the data receiving and transmitting module and the monitoring processing module in the server are positioned in a service layer; the display device is at an application layer.
Optionally, the plurality of acquisition devices include different sensors of a temperature sensor, a humidity sensor, a vibration sensor, and a noise sensor;
the monitoring processing module is specifically used for executing any one or more of the following processes when monitoring and processing the environmental parameter data acquired by the plurality of acquisition devices in the received different functional bins respectively:
comparing temperature data acquired by a temperature sensor in a corresponding functional bin with a preset temperature threshold value, and obtaining a temperature monitoring result based on the comparison result;
comparing humidity data acquired by a humidity sensor in a corresponding functional bin with a preset humidity threshold value, and obtaining a humidity monitoring result based on the comparison result;
comparing vibration data acquired by the vibration sensors in the corresponding functional bins with a preset vibration threshold value, and obtaining a vibration monitoring result based on the comparison result;
and comparing the noise data acquired by the noise sensor in the corresponding functional bin with a preset noise threshold value, and obtaining a noise monitoring result based on the comparison result.
Optionally, the data transceiver module is provided with different transmission protocols corresponding to different types of sensors;
the data transceiver module is specifically used for when receiving environmental parameter data acquired by a plurality of acquisition devices arranged in different functional bins of the quantum computer hardware system:
based on the matched different transmission protocols, the environmental parameter data collected by different types of sensors arranged in different functional bins of the quantum computer hardware system are respectively received.
Optionally, the data transceiver module is a serial port transceiver module.
Optionally, the monitoring processing module is further configured to: and before the environmental parameter data collected by the plurality of collecting devices in the different received functional bins are monitored, converting the environmental parameter data in the form of analog signals into the environmental parameter data in the form of digital signals.
Optionally, the system further comprises:
and the short message early warning module is arranged at the application layer and is used for sending an abnormality processing reminding message when the environmental parameters in the function bin are abnormal to a set manager in a short message mode.
A method for remotely monitoring environmental parameters of multiple machine cabins, the method comprising:
the method comprises the steps of respectively acquiring environmental parameter data in each functional bin by using a plurality of acquisition devices arranged in different functional bins of a quantum computer hardware system;
receiving environmental parameter data acquired by a plurality of acquisition devices arranged in different functional bins of a quantum computer hardware system;
based on the matched monitoring logic, respectively monitoring and processing the received environmental parameter data acquired by the plurality of acquisition devices in different functional bins to obtain monitoring results of the environmental parameters in each functional bin;
and displaying the monitoring results of the environmental parameters in each functional bin on the interface, and carrying out early warning reminding on the interface under the condition that the monitoring results of the environmental parameters in the corresponding functional bins represent the abnormal condition of the environmental parameters.
Optionally, the plurality of acquisition devices include different sensors of a temperature sensor, a humidity sensor, a vibration sensor, and a noise sensor;
the monitoring processing is carried out on the environmental parameter data acquired by the plurality of acquisition devices in the received different functional bins respectively, and the monitoring processing comprises any one or more of the following processing:
comparing temperature data acquired by a temperature sensor in a corresponding functional bin with a preset temperature threshold value, and obtaining a temperature monitoring result based on the comparison result;
comparing humidity data acquired by a humidity sensor in a corresponding functional bin with a preset humidity threshold value, and obtaining a humidity monitoring result based on the comparison result;
comparing vibration data acquired by the vibration sensors in the corresponding functional bins with a preset vibration threshold value, and obtaining a vibration monitoring result based on the comparison result;
and comparing the noise data acquired by the noise sensor in the corresponding functional bin with a preset noise threshold value, and obtaining a noise monitoring result based on the comparison result.
Optionally, the receiving environmental parameter data collected by a plurality of collecting devices disposed in different functional bins of the quantum computer hardware system includes:
based on the matched different transmission protocols, the environmental parameter data collected by different types of sensors arranged in different functional bins of the quantum computer hardware system are respectively received.
According to the scheme, the remote monitoring system and the remote monitoring method for the environmental parameters of the multiple machine cabins are provided with the monitoring processing module, the data transceiver module which is in communication connection with the plurality of acquisition devices in the different functional cabins of the quantum computer hardware system and the display device, so that each acquisition device in the different functional cabins of the quantum computer hardware system can transmit acquired environmental parameter data to the server in real time and remotely through connection with the server, and the server monitors the received environmental parameter data and displays and pre-warns the monitoring results, thereby realizing real-time remote monitoring for the environmental parameters of the multiple machine cabins of the quantum computer, effectively improving the working efficiency in the process of monitoring the environmental parameters of each functional cabin of the quantum computer and reducing the interference brought by the manual monitoring process.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings may be obtained according to the provided drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic structural diagram of a remote monitoring system for environmental parameters of multiple cabins provided by the present application;
FIG. 2 is a block diagram of a three-tier architecture of a multi-cartridge environmental parameter remote monitoring system provided herein;
fig. 3 is a flow chart of a remote monitoring method for environmental parameters of multiple machine cabins provided by the application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The applicant finds that superconducting quantum computers are easy to be influenced by environment in operation, the hardware system devices of the quantum computers are numerous and are respectively stored in a plurality of functional bins (machine bins), and the environmental parameter requirements of each functional bin are different. The real-time detection of the environmental parameters (temperature, humidity, noise and the like) of each functional bin is an important guarantee for the whole machine operation of the quantum computer, so that the remote monitoring system and method for the environmental parameters of multiple bins are provided for monitoring the important parameters and ensuring the normal operation of the quantum computer.
Referring to fig. 1, a schematic structural diagram of a remote monitoring system for environmental parameters of multiple cabins is provided, and the system includes a plurality of acquisition devices 10, a server 20 and a display device 30. Wherein:
the plurality of acquisition devices 10 are arranged in different functional bins of the quantum computer hardware system and are used for acquiring environmental parameter data in the corresponding functional bins.
The quantum computer complete machine system comprises: quantum chip, dilution refrigerator, low temperature device and circuit, measurement and control all-in-one, UPS (Uninterrupted Power Supply) power supply, etc.
Different functional bins of the quantum computer hardware system can comprise, but are not limited to, a quantum bin, a measurement and control bin, a peripheral bin and a classical bin. Specifically, the quantum bin stores the quantum chip of the quantum computer, the empty bin stores the measurement and control integrated machine (measurement and control equipment), the peripheral bin stores the power supply, the water cooler and the like, the classical bin stores the classical computer, the air compressor configured by the dilution refrigerator has large noise, and the air compressor needs to be separated from the measurement and control equipment as much as possible to reduce the interference in the measurement and control process, so that the air compressor is arranged in the peripheral bin.
The plurality of acquisition devices 10 disposed in different functional compartments of the quantum computer hardware system, including but not limited to, different ones of a temperature sensor, a humidity sensor, a vibration sensor, a noise sensor, etc., are used to respectively acquire data corresponding to environmental parameters such as temperature, humidity, vibration, noise, etc. in the compartments.
In combination with the three-layer system structure provided by referring to fig. 2, the embodiment of the application divides the remote monitoring system of the environmental parameters of multiple machine cabins into three-layer structures: an application layer, a service layer and a data layer. The data layer may also be referred to as a resource layer, the application layer is located at an upper layer of the service layer, the service layer is located at an upper layer of the data layer, and the data layer is the bottommost layer in the three-layer structure.
The data layer represents a physical layer where a plurality of bin sensors are located, namely, a plurality of sensors arranged in different functional bins of the quantum computer hardware system are located in the data layer; the data layer is used for collecting the environmental parameter data acquired by different sensors in real time and transmitting the environmental parameter data to the upper service layer.
The server 20 comprises a data transceiver module 21 and a monitoring processing module 22.
The data transceiver module 21 is provided with communication connection with a plurality of acquisition devices in each functional cabin of the quantum computer hardware system, and is used for receiving the environmental parameter data acquired by the plurality of acquisition devices.
The monitoring processing module 22 is configured to monitor and process environmental parameter data collected by the plurality of collecting devices in the different received functional bins based on the matched monitoring logic, so as to obtain monitoring results of environmental parameters in each functional bin.
The server 20 includes a data transceiver module and a monitoring processing module, which are both in the service layer in the three-layer architecture shown in fig. 2, that is, the service layer provides the data transceiver module and the monitoring processing module, so as to implement the transition from the data layer to the application layer of the environmental parameter data collected by the sensors in each machine cabin.
The monitoring processing module on the server can be realized in the form of a program module with the required monitoring processing function, and the monitoring processing of the data of each environmental parameter is realized by judging the threshold value according to different threshold value standards of different environmental parameters.
Specifically, taking an example that environmental parameter data collected by a sensor in each cabin includes temperature, humidity, vibration and noise data, the monitoring processing module may specifically perform any one or more of the following monitoring processes:
1) Comparing temperature data acquired by a temperature sensor in a corresponding functional bin with a preset temperature threshold value, and obtaining a temperature monitoring result based on the comparison result;
2) Comparing humidity data acquired by a humidity sensor in a corresponding functional bin with a preset humidity threshold value, and obtaining a humidity monitoring result based on the comparison result;
3) Comparing vibration data acquired by the vibration sensors in the corresponding functional bins with a preset vibration threshold value, and obtaining a vibration monitoring result based on the comparison result;
4) And comparing the noise data acquired by the noise sensor in the corresponding functional bin with a preset noise threshold value, and obtaining a noise monitoring result based on the comparison result.
That is, the monitoring processing module compares the temperature, humidity, vibration and noise values respectively indicated by the temperature, humidity, vibration and noise data collected by the plurality of sensors in each machine cabin with the corresponding set temperature threshold, humidity threshold, vibration threshold and noise threshold respectively, and if the value of a certain environmental parameter is not in the normal parameter value range indicated by the set threshold, the environmental parameter is indicated to be abnormal, otherwise, the environmental parameter is indicated to be normal.
In implementation, optionally, the program module (monitoring processing module) of the service layer may use the python module to acquire the environmental parameter data acquired by different hardware sensor devices, and perform threshold judgment according to the standards corresponding to the different parameters.
In addition, the monitoring processing module also carries out signal conversion processing on the environmental parameter signals of the machine bin sensors before monitoring processing is carried out on the environmental parameter data collected by the plurality of collecting devices in the different received functional bins, and particularly converts the environmental parameter data in the form of analog signals into the environmental parameter data in the form of digital signals.
The display device 30 is used for displaying the monitoring result of the environmental parameter in each functional bin at the interface, and carrying out early warning reminding at the interface under the condition that the monitoring result of the environmental parameter in the functional bin represents the abnormal condition of the environmental parameter.
The display device is arranged at an application layer in the three-layer architecture shown in fig. 2, and is used for providing a UI interface for a user at the application layer, and providing an environment parameter data display function of each bin body, a monitoring result display function of whether the environment parameter data is abnormal or not and an early warning and reminding function under abnormal conditions based on the UI interface.
In the implementation, a Web interface can be designed through a Web application program, and environmental parameter data of each bin body, monitoring results of abnormality or not and early warning reminding information under the abnormal condition are displayed on a display device based on the Web interface form.
If a certain environmental parameter exceeds a normal range, namely the environmental parameter is abnormal, the method can adopt a red early warning sign which is displayed in a related manner with the abnormal environmental parameter on a Web interface for early warning and reminding, but is not limited to.
The Web application program can realize the functions of UI interface display, early warning reminding and the like by adopting Html, css, javaScript and other languages.
According to the scheme, the remote monitoring system for the environmental parameters of the multiple machine cabins is provided, the monitoring processing module and the data transceiver module which is in communication connection with the plurality of acquisition devices in the different functional cabins of the quantum computer hardware system are arranged on the server, and the display device is arranged, so that each acquisition device in the different functional cabins of the quantum computer hardware system can transmit acquired environmental parameter data to the server in real time and remotely through connection with the server, and the server monitors the received environmental parameter data and displays and pre-warns the monitoring results, thereby realizing real-time remote monitoring for the environmental parameters of the multiple machine cabins of the quantum computer, effectively improving the working efficiency in the process of monitoring the environmental parameters of each functional cabin of the quantum computer, and reducing the interference caused by the manual monitoring process.
In an embodiment, optionally, the data transceiver module on the server may be a serial port transceiver module, where the serial port transceiver module is provided with different transmission protocols corresponding to different types of sensors, such as Zigbee, modbus, etherCAT transmission protocols, and the data transceiver module, such as the serial port transceiver module, respectively receives environmental parameter data collected by different types of sensors disposed in different functional bins of the quantum computer hardware system based on the matched different transmission protocols.
In an embodiment, optionally, the remote monitoring system for environmental parameters of multiple machine cabins disclosed in the present application further includes a short message early warning module disposed at an application layer, and configured to send, in a short message manner, an exception handling alert message for exception of environmental parameters in a functional cabin to a set manager.
Specifically, for the early warning reminding information, such as a red early warning sign of temperature abnormality, under the environment parameter abnormality condition displayed on the UI interface, if the condition that the technician does not operate (the temperature of the corresponding cabin is not restored to the normal range correspondingly) beyond the set time period is detected, the system can send a short message reminding to a preset administrator through the short message early warning module so as to remind the administrator to process the environment parameter abnormality condition as soon as possible.
That is, the basic process flow of the remote monitoring system for the environment parameters of the multiple cabins is the remote monitoring process flow for the environment parameters of the multiple cabins, which is realized by the three-layer structure shown in fig. 2, and the short message early warning module is further added on the basis, so that the early warning reminding can be performed on the user under the condition that the environment parameters are abnormal through the UI interface, and the short message can be sent to the administrator for performing the abnormal processing reminding under the condition that the abnormal environment parameters are not responded for a long time and are not processed for a long time.
In addition, the application also discloses a remote monitoring method for the environmental parameters of multiple machine cabins, which is specifically based on the remote monitoring system for the environmental parameters of multiple machine cabins provided by any one of the system embodiments, referring to fig. 3, and comprises the following processing steps:
step 301, respectively acquiring environmental parameter data in each functional bin by using a plurality of acquisition devices arranged in different functional bins of the quantum computer hardware system.
The quantum computer complete machine system comprises: quantum chip, dilution refrigerator, low temperature device and circuit, measurement and control all-in-one, UPS (Uninterrupted Power Supply) power supply, etc.
Different functional bins of the quantum computer hardware system can comprise, but are not limited to, a quantum bin, a measurement and control bin, a peripheral bin and a classical bin. Specifically, the quantum bin stores the quantum chip of the quantum computer, the empty bin stores the measurement and control integrated machine (measurement and control equipment), the peripheral bin stores the power supply, the water cooler and the like, the classical bin stores the classical computer, the air compressor configured by the dilution refrigerator has large noise, and the air compressor needs to be separated from the measurement and control equipment as much as possible to reduce the interference in the measurement and control process, so that the air compressor is arranged in the peripheral bin.
The collection devices are arranged in different functional bins of the quantum computer hardware system, and comprise, but are not limited to, different sensors of a temperature sensor, a humidity sensor, a vibration sensor, a noise sensor and the like, and are used for respectively collecting environmental parameter data such as temperature, humidity, vibration and/or noise and the like in the corresponding bins.
As shown in fig. 2, the system on which the remote monitoring method for environmental parameters of multiple machine cabins is based is divided into three layers: the system comprises an application layer, a service layer and a data layer (or resource layer), wherein the application layer is positioned at the upper layer of the service layer, the service layer is positioned at the upper layer of the data layer, and the data layer is the bottommost layer in the three-layer structure.
The data layer represents a physical layer where a plurality of bin sensors are located, namely, a plurality of sensors arranged in different functional bins of the quantum computer hardware system are located in the data layer; the data layer is used for collecting parameter information of different sensors in real time and transmitting the information to the service layer of the upper layer.
In this step 301, a plurality of sensors in a data layer are specifically utilized to respectively collect environmental parameter data in functional bins where the plurality of sensors are located.
Step 302, receiving environmental parameter data collected by a plurality of collecting devices arranged in different functional bins of a quantum computer hardware system.
And 303, based on the matched monitoring logic, respectively monitoring and processing the received environmental parameter data acquired by the plurality of acquisition devices in different functional bins to obtain monitoring results of the environmental parameters in each functional bin.
Based on the system of the above embodiment, step 302 may specifically employ a data transceiver module in a server to receive environmental parameter data collected by a plurality of collecting devices disposed in different functional bins of the quantum computer hardware system.
Step 303 may employ a monitoring processing module in the server to monitor and process the environmental parameter data collected by the plurality of collecting devices in the different received function bins.
The server comprises a data receiving and transmitting module and a monitoring processing module which are positioned at a service layer in the three-layer architecture shown in fig. 2, namely the service layer provides the data receiving and transmitting module and the monitoring processing module and is used for realizing the transition from the data layer to an application layer of the environmental parameter data acquired by the sensors in each machine cabin.
In step 303, when the monitoring processing module in the server is used to monitor and process the environmental parameter data collected by the plurality of collecting devices in the different received function bins, the monitoring processing on the environmental parameter data can be realized by performing threshold judgment according to different threshold standards of different environmental parameters.
Specifically, taking the example that the environmental parameter data collected by the sensors in each cabin includes temperature, humidity, vibration and noise data, step 303 may specifically perform any one or more of the following monitoring processes:
1) Comparing temperature data acquired by a temperature sensor in a corresponding functional bin with a preset temperature threshold value, and obtaining a temperature monitoring result based on the comparison result;
2) Comparing humidity data acquired by a humidity sensor in a corresponding functional bin with a preset humidity threshold value, and obtaining a humidity monitoring result based on the comparison result;
3) Comparing vibration data acquired by the vibration sensors in the corresponding functional bins with a preset vibration threshold value, and obtaining a vibration monitoring result based on the comparison result;
4) And comparing the noise data acquired by the noise sensor in the corresponding functional bin with a preset noise threshold value, and obtaining a noise monitoring result based on the comparison result.
That is, in step 303, the monitoring processing module is used to compare the temperature, humidity, vibration and noise values respectively indicated by the temperature, humidity, vibration and noise data collected by the plurality of sensors in each cabin with the temperature threshold, humidity threshold, vibration threshold and noise threshold correspondingly set, and if the value of a certain environmental parameter is not within the normal parameter value range set based on the set threshold, the environmental parameter is indicated to be abnormal, otherwise, the environmental parameter is indicated to be normal.
In addition, before the monitoring processing module is used to monitor the environmental parameter data collected by the plurality of collecting devices in the different function bins, the monitoring processing module may also be used to perform signal conversion processing on the environmental parameter signals of the bin sensors, and specifically convert the environmental parameter data in the form of analog signals into the environmental parameter data in the form of digital signals.
And 304, displaying monitoring results of the environmental parameters in each functional bin on the interface, and carrying out early warning reminding on the interface under the condition that the monitoring results of the environmental parameters in the corresponding functional bins represent the abnormal condition of the environmental parameters.
Based on the system of the above embodiment, step 304 may specifically utilize a display device to display information such as monitoring results and early warning reminders.
The display device is arranged at an application layer in the three-layer architecture shown in fig. 2, and is used for providing a UI interface for a user at the application layer, and providing a monitoring result for displaying the environmental parameter data of each bin body and whether the environmental parameter data is abnormal or not and an early warning and reminding function under the abnormal condition based on the UI interface.
In the implementation, the Web interface may be designed in advance through the Web application program, and in this step 304, the environmental parameter data of each bin body, the monitoring result of abnormality or not, and the early warning reminding information under the abnormal condition are displayed on the display device based on the Web interface form. If a certain environmental parameter exceeds a normal range, namely the environmental parameter is abnormal, the method can adopt a red early warning sign which is displayed in a related manner with the abnormal environmental parameter on a Web interface for early warning and reminding, but is not limited to.
The Web application program can realize the functions of UI interface display, early warning reminding and the like by adopting Html, css, javaScript and other languages.
In addition, in an embodiment, the receiving the environmental parameter data collected by the plurality of collecting devices disposed in different functional bins of the quantum computer hardware system in step 302 may be further implemented as:
based on the matched different transmission protocols, such as Zigbee, modbus, etherCAT transmission protocol, the environmental parameter data collected by different types of sensors arranged in different functional bins of the quantum computer hardware system are respectively received.
In an embodiment, the method of the present application may further comprise: and sending an abnormality processing reminding message of the abnormality of the environmental parameter in the function bin to a set manager in a short message mode.
Specifically, for the early warning reminding information under the environment parameter abnormal condition displayed on the UI interface, such as the preset reminding of the abnormal temperature, if no technician controls the system after the preset time period is exceeded (the temperature of the corresponding cabin is not restored to the normal range correspondingly), the short message early warning module in the system of the above embodiment can send a short message reminding to a preset administrator.
That is, the basic process flow of the remote monitoring method for the environment parameters of the multiple cabins is the remote monitoring process flow for the environment parameters of the multiple cabins, which is realized by the three-layer structure shown in fig. 2, and the early warning processing based on the short message early warning module is further added on the basis, so that the early warning reminding can be performed on the UI interface for the user under the condition that the environment parameters are abnormal, and the short message can be sent to the administrator for performing the abnormality processing reminding under the condition that the environment parameters are not processed for a long time without response.
In summary, by using the system and the method of the embodiment of the application to monitor the multiple machine bins of the quantum computer hardware system in real time and remotely, the walking of operators in the bin body is reduced, the vibration of the whole system is further reduced, the interference to the quantum computer is reduced, and meanwhile, the working efficiency of the operators is improved.
It should be noted that, in the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described as different from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.
For convenience of description, the above system or apparatus is described as being functionally divided into various modules or units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when implemented in the present application.
From the above description of embodiments, it will be apparent to those skilled in the art that the present application may be implemented in software plus a necessary general purpose hardware platform. Based on such understanding, the technical solutions of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the methods described in the embodiments or some parts of the embodiments of the present application.
Finally, it is further noted that relational terms such as first, second, third, fourth, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing is merely a preferred embodiment of the present application and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present application and are intended to be comprehended within the scope of the present application.
Claims (10)
1. A remote monitoring system for environmental parameters of multiple machine bins, the system comprising:
the collection devices are arranged in different functional bins of the quantum computer hardware system and are used for collecting environmental parameter data in the corresponding functional bins, and the different functional bins comprise: the device comprises a quantum bin, a measurement and control bin, an external bin and a classical bin;
the server comprises a data receiving and transmitting module and a monitoring processing module; wherein: the data transceiver module is provided with communication connection with the plurality of acquisition devices and is used for receiving environment parameter data acquired by the plurality of acquisition devices arranged in different functional bins of the quantum computer hardware system; the monitoring processing module is used for respectively monitoring and processing the environmental parameter data acquired by the plurality of acquisition devices in the different received function bins based on the matched monitoring logic to obtain monitoring results of the environmental parameters in each function bin;
the display device is used for displaying the monitoring result of the environmental parameter in each functional bin on the interface, and carrying out early warning reminding on the interface under the condition that the monitoring result of the environmental parameter in the functional bin represents that the environmental parameter is abnormal.
2. The system of claim 1, wherein the system is divided into an application layer, a service layer, and a data layer;
the plurality of acquisition devices arranged in different functional bins of the quantum computer hardware system are positioned on a data layer; the data receiving and transmitting module and the monitoring processing module in the server are positioned in a service layer; the display device is at an application layer.
3. The system of claim 1, wherein the plurality of acquisition devices comprise different ones of a temperature sensor, a humidity sensor, a vibration sensor, and a noise sensor;
the monitoring processing module is specifically used for executing any one or more of the following processes when monitoring and processing the environmental parameter data acquired by the plurality of acquisition devices in the received different functional bins respectively:
comparing temperature data acquired by a temperature sensor in a corresponding functional bin with a preset temperature threshold value, and obtaining a temperature monitoring result based on the comparison result;
comparing humidity data acquired by a humidity sensor in a corresponding functional bin with a preset humidity threshold value, and obtaining a humidity monitoring result based on the comparison result;
comparing vibration data acquired by the vibration sensors in the corresponding functional bins with a preset vibration threshold value, and obtaining a vibration monitoring result based on the comparison result;
and comparing the noise data acquired by the noise sensor in the corresponding functional bin with a preset noise threshold value, and obtaining a noise monitoring result based on the comparison result.
4. A system according to claim 3, wherein the data transceiver modules are provided with different transmission protocols corresponding to different types of sensors;
the data transceiver module is specifically used for when receiving environmental parameter data acquired by a plurality of acquisition devices arranged in different functional bins of the quantum computer hardware system:
based on the matched different transmission protocols, the environmental parameter data collected by different types of sensors arranged in different functional bins of the quantum computer hardware system are respectively received.
5. The system of claim 4, wherein the data transceiver module is a serial transceiver module.
6. The system of claim 1, wherein the monitoring processing module is further configured to: and before the environmental parameter data collected by the plurality of collecting devices in the different received functional bins are monitored, converting the environmental parameter data in the form of analog signals into the environmental parameter data in the form of digital signals.
7. The system of claim 2, wherein the system further comprises:
and the short message early warning module is arranged at the application layer and is used for sending an abnormality processing reminding message when the environmental parameters in the function bin are abnormal to a set manager in a short message mode.
8. A method for remotely monitoring environmental parameters of multiple machine cabins, the method comprising:
the method comprises the steps of respectively acquiring environmental parameter data in each functional bin by using a plurality of acquisition devices arranged in different functional bins of a quantum computer hardware system, wherein the different functional bins comprise: the device comprises a quantum bin, a measurement and control bin, an external bin and a classical bin;
receiving environmental parameter data acquired by a plurality of acquisition devices arranged in different functional bins of a quantum computer hardware system;
based on the matched monitoring logic, respectively monitoring and processing the received environmental parameter data acquired by the plurality of acquisition devices in different functional bins to obtain monitoring results of the environmental parameters in each functional bin;
and displaying the monitoring results of the environmental parameters in each functional bin on the interface, and carrying out early warning reminding on the interface under the condition that the monitoring results of the environmental parameters in the corresponding functional bins represent the abnormal condition of the environmental parameters.
9. The method of claim 8, wherein the plurality of acquisition devices include different ones of a temperature sensor, a humidity sensor, a vibration sensor, and a noise sensor;
the monitoring processing is carried out on the environmental parameter data acquired by the plurality of acquisition devices in the received different functional bins respectively, and the monitoring processing comprises any one or more of the following processing:
comparing temperature data acquired by a temperature sensor in a corresponding functional bin with a preset temperature threshold value, and obtaining a temperature monitoring result based on the comparison result;
comparing humidity data acquired by a humidity sensor in a corresponding functional bin with a preset humidity threshold value, and obtaining a humidity monitoring result based on the comparison result;
comparing vibration data acquired by the vibration sensors in the corresponding functional bins with a preset vibration threshold value, and obtaining a vibration monitoring result based on the comparison result;
and comparing the noise data acquired by the noise sensor in the corresponding functional bin with a preset noise threshold value, and obtaining a noise monitoring result based on the comparison result.
10. The method of claim 9, wherein receiving the environmental parameter data collected by the plurality of collection devices disposed in different functional compartments of the quantum computer hardware system comprises:
based on the matched different transmission protocols, the environmental parameter data collected by different types of sensors arranged in different functional bins of the quantum computer hardware system are respectively received.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000056816A (en) * | 1998-08-04 | 2000-02-25 | Hitachi Ltd | Programmable controller |
| CN202677146U (en) * | 2011-12-01 | 2013-01-16 | 成都智汇科技有限公司 | Computer room environmental monitoring system based on Internet of Things |
| CN102901184A (en) * | 2011-07-27 | 2013-01-30 | 青岛高校信息产业有限公司 | Remote air conditioner monitor |
| CN110069385A (en) * | 2019-04-26 | 2019-07-30 | 济南浪潮高新科技投资发展有限公司 | Quantum cloud monitoring system and method based on Internet of Things |
| WO2021067085A1 (en) * | 2019-10-01 | 2021-04-08 | UiPath, Inc. | Resuming robotic process automation workflows based on external triggers |
| US11010145B1 (en) * | 2018-02-21 | 2021-05-18 | Rigetti & Co, Inc. | Retargetable compilation for quantum computing systems |
| CN113037708A (en) * | 2021-02-02 | 2021-06-25 | 中国人民解放军战略支援部队信息工程大学 | Quantum device hardware resource unified management method and system based on application layer protocol |
-
2021
- 2021-10-28 CN CN202111261876.8A patent/CN113885418B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000056816A (en) * | 1998-08-04 | 2000-02-25 | Hitachi Ltd | Programmable controller |
| CN102901184A (en) * | 2011-07-27 | 2013-01-30 | 青岛高校信息产业有限公司 | Remote air conditioner monitor |
| CN202677146U (en) * | 2011-12-01 | 2013-01-16 | 成都智汇科技有限公司 | Computer room environmental monitoring system based on Internet of Things |
| US11010145B1 (en) * | 2018-02-21 | 2021-05-18 | Rigetti & Co, Inc. | Retargetable compilation for quantum computing systems |
| CN110069385A (en) * | 2019-04-26 | 2019-07-30 | 济南浪潮高新科技投资发展有限公司 | Quantum cloud monitoring system and method based on Internet of Things |
| WO2021067085A1 (en) * | 2019-10-01 | 2021-04-08 | UiPath, Inc. | Resuming robotic process automation workflows based on external triggers |
| CN113037708A (en) * | 2021-02-02 | 2021-06-25 | 中国人民解放军战略支援部队信息工程大学 | Quantum device hardware resource unified management method and system based on application layer protocol |
Non-Patent Citations (2)
| Title |
|---|
| Realization of quantum information processing in quantum star network constituted by superconducting hybrid systems;Wenlin Li et al.;《Physica A: Statistical Mechanics and its Applications》;第463卷;427-436 * |
| 基于格理论的后量子密钥交换算法在区块链中的应用;吴玉鹏 等;《中国集成电路》(第3期);66-72 * |
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