Sensing device debugging system, method and apparatus, and computer device

Abstract

A sensing device debugging system, method and apparatus, a computer device, a storage medium, and a program product. The system comprises: a cloud detection service platform (210) configured to generate and send debugging data to an electrical quantity excitation module (230), receive electrical quantity measurement data, and compare the electrical quantity measurement data with real-time electrical quantity data to obtain a debugging comparison result; the electrical quantity excitation module (230) configured to adjust, on the basis of the debugging data, an electrical quantity excitation signal applied to a sensing device (240) by an adjustable electronic load module (250), monitor an electrical quantity change of a line in real time, and upload real-time electrical quantity data to the cloud detection service platform (210); the sensing device (240) configured to measure the electrical quantity of the line in real time under a simulated load condition, and upload measurement data to a gateway module (220); and the gateway module (220) configured to receive and upload the electrical quantity measurement data to the cloud detection service platform (210). The system improves the debugging efficiency of the sensing device.

Description

Sensing equipment debugging system, method, device and computer equipment

[0001] Related applications

[0002] This application claims priority to Chinese patent application number 202311612433.8, filed on November 29, 2023, entitled “Sensing device debugging system, method, device and computer equipment,” the entire text of which is hereby incorporated by reference. Technical Field

[0003] The present application relates to the field of automatic debugging technology, and in particular to a sensor device debugging system, method, apparatus, computer equipment, storage medium, and computer program product. Background Art

[0004] With the development of automatic commissioning technology, digital distribution networks have become an important part of the digital transformation of power grid systems. As the construction of digital distribution networks advances, a large number of distribution IoT sensor devices and data need to be connected to the global IoT platform.

[0005] Currently, digital distribution networks are often combined with IoT technologies to analyze sensor, communication, and grid data. This is achieved by building a fault indicator test system. This system simulates voltage and current through a power source, which then passes through a voltage / current boosting device and applies voltage / current to the fault indicator to facilitate fault indicator debugging.

[0006] However, traditional methods can only test fault indicators, limiting their scope. Furthermore, current primary and secondary distribution network equipment lacks standardized and intelligent hardware and software, and lacks ease of assembly and maintenance. This, combined with varying levels of construction skills, results in low debugging efficiency, hindering the practical application of digital power distribution.

[0007] Summary of the Invention

[0008] Based on this, it is necessary to provide a sensor device debugging system and method that can improve debugging efficiency in response to the above technical problems.

[0009] In a first aspect, the present application provides a sensor device debugging system. The system includes: a cloud detection service platform, a gateway module, an electrical quantity excitation module, a sensor device, and an adjustable electronic load module, wherein the cloud detection service platform is communicatively connected to the electrical quantity excitation module, the electrical quantity excitation module is connected to the adjustable electronic load module via the sensor device, the sensor device is communicatively connected to the gateway module, and the gateway module is communicatively connected to the cloud detection service platform;

[0010] The cloud detection service platform is used to generate debugging data and send the debugging data to the electrical quantity excitation module, and receive the electrical quantity measurement data uploaded by the gateway module, compare the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module, and obtain a debugging comparison result;

[0011] The electrical quantity excitation module is used to adjust the electrical quantity excitation signal applied by the adjustable electronic load module to the sensing device according to the debugging data, monitor the electrical quantity changes of the circuit in real time, and upload the monitored real-time electrical quantity data to the cloud detection service platform;

[0012] The sensing device is used to measure the line electrical quantity in real time under the simulated load condition and upload the measured electrical quantity measurement data to the gateway module;

[0013] The gateway module is used to receive the electrical quantity measurement data sent by the sensor device in real time, and upload the electrical quantity measurement data to the cloud detection service platform.

[0014] In one embodiment, the system further includes: an Internet of Things platform communicatively connected to the cloud detection service platform, the electrical quantity incentive module, and the gateway module;

[0015] The cloud detection service platform is used to send the debugging data to the electrical quantity excitation module through the Internet of Things platform;

[0016] The gateway module is used to upload the electrical quantity measurement data to the cloud detection service platform through the Internet of Things platform;

[0017] The electrical quantity incentive module is used to upload real-time electrical quantity data to the cloud detection service platform through the Internet of Things platform.

[0018] In one embodiment, the system further includes: a data center communicatively connected to the Internet of Things platform and the cloud detection service platform;

[0019] The Internet of Things platform is used to upload the received data to the data center in real time;

[0020] The cloud detection service platform is used to subscribe to the target data of the data center in real time, and the target data includes the electrical quantity measurement data and the real-time electrical quantity data.

[0021] In one embodiment, the electrical quantity excitation module includes: an execution unit and a monitoring unit;

[0022] The execution unit is configured to adjust the output power of the adjustable electronic load module in real time according to the debugging data, so as to adjust the electrical quantity excitation signal applied by the adjustable electronic load module to the sensor device;

[0023] The monitoring unit is used to monitor the changes in the electrical quantity of the line in real time and transmit the monitored real-time electrical quantity data to the cloud detection service platform.

[0024] In one embodiment, the cloud detection service platform includes a debugging case editing module for obtaining debugging requirement data of the sensor device and generating debugging data of the sensor device according to the debugging requirement data of the sensor device.

[0025] In one embodiment, the cloud detection service platform further includes a debugging result analysis module for comparing the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module, and generating a debugging report based on the comparison results.

[0026] In one embodiment, the cloud detection service platform further includes a cloud storage module for encrypting existing data and distributing the encrypted data to multiple data storage nodes.

[0027] In one embodiment, the cloud storage module includes a data management node and a plurality of data storage nodes in communication connection;

[0028] The data management node is configured to allocate the existing data to different data storage nodes for storage according to data characteristics of the existing data and load status of the plurality of data storage nodes;

[0029] The data storage node is used to encrypt the received existing data and store the encrypted existing data after completing the verification of the received existing data.

[0030] In one of the embodiments, the cloud detection service platform further includes a cloud signature module for pushing the debugging report according to the selected approval level.

[0031] In a second aspect, the present application also provides a method for debugging a sensor device. The method comprises:

[0032] Acquiring debugging requirement data of a sensor device, and generating debugging data of the sensor device according to the debugging requirement data of the sensor device;

[0033] Sending the debugging data to the electrical quantity excitation module so that the electrical quantity excitation module adjusts the electrical quantity excitation signal applied by the adjustable electronic load module to the sensing device, and monitors the electrical quantity changes of the circuit in real time to obtain real-time electrical quantity data;

[0034] Receiving real-time electrical quantity data uploaded by the electrical quantity excitation module and electrical quantity measurement data uploaded by the sensor device;

[0035] The electrical quantity measurement data is compared with the real-time electrical quantity data uploaded by the electrical quantity excitation module to obtain a debugging comparison result.

[0036] In a third aspect, the present application also provides a sensor device debugging device. The device includes:

[0037] A debugging data generating module, configured to obtain debugging requirement data of a sensing device and generate debugging data of the sensing device according to the debugging requirement data of the sensing device;

[0038] a line monitoring module, configured to send the debugging data to the electrical quantity excitation module, so that the electrical quantity excitation module adjusts the electrical quantity excitation signal applied by the adjustable electronic load module to the sensing device, and monitors the electrical quantity changes of the line in real time to obtain real-time electrical quantity data;

[0039] A data receiving module, configured to receive the real-time electrical quantity data uploaded by the electrical quantity excitation module and the electrical quantity measurement data uploaded by the sensor device;

[0040] The debugging result module is used to compare the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module to obtain a debugging comparison result.

[0041] In a fourth aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned sensor device debugging method embodiments when executing the computer program.

[0042] In a fifth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the above-mentioned sensor device debugging method embodiments.

[0043] In a sixth aspect, the present application further provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps in the above-mentioned sensor device debugging method embodiments.

[0044] The above-mentioned sensing device debugging system, method, device, computer device, storage medium and computer program product can debug the sensing device debugging system. The system includes a cloud detection service platform, a gateway module, an electrical quantity excitation module, a sensing device and an adjustable electronic load module; the cloud detection service platform is used to generate debugging data and send the debugging data to the electrical quantity excitation module, as well as receive electrical quantity measurement data uploaded by the gateway module, compare the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module, and obtain a debugging comparison result; the electrical quantity excitation module is used to adjust the electrical quantity excitation signal applied to the sensing device by the adjustable electronic load module according to the debugging data, and monitor the changes in the electrical quantity of the line in real time, and upload the monitored real-time electrical quantity data to the cloud detection service platform; the sensing device is used to measure the electrical quantity of the line in real time under simulated load conditions, and upload the measured electrical quantity measurement data to the gateway module; the gateway module is used to receive the electrical quantity measurement data sent by the sensing device in real time, and upload the electrical quantity measurement data to the cloud detection service platform. The above-mentioned sensor equipment debugging system transmits and stores data through the cloud detection service platform, and through the dynamic interaction function of the cloud platform, it can realize remote debugging and management of electrical intelligent sensor equipment of different models and specifications, thereby improving the efficiency of sensor equipment debugging. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the conventional technology, the following briefly introduces the drawings required for use in the embodiments or the conventional technology descriptions. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the disclosed drawings without any creative work.

[0046] FIG1 is a block diagram of a sensor device debugging system according to an embodiment;

[0047] FIG2 is a block diagram of a sensor device debugging system according to another embodiment;

[0048] FIG3 is a block diagram of a sensor device debugging system according to another embodiment;

[0049] FIG4 is a structural block diagram of a sensor device debugging system in another embodiment;

[0050] FIG5 is a structural block diagram of a sensor device debugging system according to another embodiment;

[0051] FIG6 is a diagram illustrating an application environment of a method for debugging a sensing device according to an embodiment;

[0052] FIG7 is a schematic diagram of a flow chart of a method for debugging a sensing device according to an embodiment;

[0053] FIG8 is a structural block diagram of a sensor device debugging apparatus according to an embodiment;

[0054] FIG9 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0055] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0056] In one embodiment, as shown in Figure 1, a sensing device debugging system 200 is provided, which includes: a cloud detection service platform 210, a gateway module 220, an electrical quantity excitation module 230, a sensing device 240 and an adjustable electronic load module 250. The cloud detection service platform 210 is communicatively connected to the electrical quantity excitation module 230, the electrical quantity excitation module 230 is connected to the adjustable electronic load module 250 through the sensing device 240, the sensing device 240 is communicatively connected to the gateway module 220, and the gateway module 220 is communicatively connected to the cloud detection service platform 210.

[0057] The cloud detection service platform 210 is used to generate debugging data and send the debugging data to the electrical quantity excitation module 230, as well as receive the electrical quantity measurement data uploaded by the gateway module 220, compare the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module 230, and obtain the debugging comparison results.

[0058] Among them, the cloud detection service platform 210 is a cloud computing-based service platform that can realize the detection and management of electrical systems, such as the collection, integration and analysis of large amounts of electrical data generated by the electrical system. Debugging data is compiled by the cloud detection service platform 210 and is a data set used to verify system performance and functions. For example, data determined and used for testing, analyzing and adjusting the electrical system includes but is not limited to inputs, outputs and parameters of related electrical equipment in a simulated electrical environment. Electrical quantity measurement data refers to data collected by the sensor device 240, including but not limited to voltage and current in various simulated electrical environments. Real-time electrical quantity data refers to data monitored by the electrical quantity excitation module 230 during the debugging process, including but not limited to real-time node voltage, real-time line current, etc. These values ​​can be collected in real time by sensors or measuring devices within the electrical quantity excitation module 230.

[0059] During the specific debugging process, for example, using a micro current sensor as sensing device 240, the cloud detection service platform 210 can send debugging data to the electrical quantity excitation module 230, instructing the electrical quantity excitation module 230 to adjust the adjustable electronic load and apply current to the micro current sensor. In response to changes in current, the micro current sensor generates electrical quantity measurement data and feeds this data back to the cloud detection service platform 210 via the gateway module 220. Simultaneously, the electrical quantity excitation module 230 collects real-time electrical quantity data from the electrical system and feeds it back to the cloud detection service platform 210. Finally, the cloud detection service platform 210 compares the electrical quantity measurement data with the real-time electrical quantity measurement data to obtain a debugging comparison result.

[0060] The electrical quantity excitation module 230 is used to adjust the electrical quantity excitation signal applied to the sensor device 240 by the adjustable electronic load module 250 according to the debugging data, and to monitor the electrical quantity changes of the line in real time, and upload the monitored real-time electrical quantity data to the cloud detection service platform 210.

[0061] The electrical quantity excitation module 230 can simulate or excite specific operating conditions in the electrical system by adjusting an adjustable electronic load. The electrical quantity excitation module 230 can include an electrical quantity excitation device that can affect the operating environment of the sensor device 240 or other electrical devices in the electrical system by generating a specific excitation electrical signal.

[0062] Specifically, the electrical quantity excitation module 230 can generate a corresponding debugging signal based on the debugging data and send this debugging signal to the adjustable electronic load. Based on the debugging signal, the adjustable electronic load can simulate the behavior of the electrical system under different load conditions, such as changing the current and voltage. This provides a flexible and diverse electrical environment for debugging the sensor device 240 and changes the electrical quantity excitation signal applied to the sensor device 240. The electrical quantity excitation signal is an electrical signal applied by the adjustable electronic load to the sensor device 240 during the debugging process of the sensor device 240. The purpose of this signal is to adjust the operating environment of the sensor device 240 to simulate specific electrical quantity changes. In addition, the electrical quantity excitation module 230 can also monitor the changes in the electrical quantities of the circuit in real time and upload the monitored real-time electrical quantity data to the cloud detection service platform 210 for subsequent debugging of the sensor device 240.

[0063] The sensor device 240 is used to measure the line electrical quantity in real time under the simulated load condition, and upload the measured electrical quantity measurement data to the gateway module 220.

[0064] Sensing device 240 is used to measure electrical quantities in an electrical system. For example, a miniature current sensor can measure the current in a circuit. Following the above steps, when the adjustable load simulates the behavior of the electrical system under different load conditions, the miniature current sensor can monitor the current changes under these conditions in real time, obtain electrical quantity measurement data, and upload this electrical quantity measurement data to gateway module 220.

[0065] The gateway module 220 is used to receive the electrical quantity measurement data sent in real time by the sensor device 240 and upload the electrical quantity measurement data to the cloud detection service platform 210.

[0066] Gateway module 220 is a network device with intelligent processing and connection capabilities, including but not limited to an intelligent gateway. For example, if gateway module 220 is an intelligent gateway, the intelligent gateway can serve as a bridge for data transmission between sensor devices 240 and the cloud service center. The intelligent gateway communicates with sensor devices 240, and sensor devices 240 can upload collected electrical quantity measurement data to the intelligent gateway. The intelligent gateway then uploads the electrical quantity measurement data to the cloud detection service platform 210. The upload process may include the use of specific communication protocols to ensure secure data transmission.

[0067] The above-mentioned sensor device debugging system can debug the sensor device. The system includes a cloud detection service platform, a gateway module, an electrical quantity excitation module, a sensor device and an adjustable electronic load module. The cloud detection service platform is connected to the electrical quantity excitation module in communication. The electrical quantity excitation module is connected to the adjustable electronic load module through the sensor device. The sensor device is connected to the gateway module in communication. The gateway module is connected to the cloud detection service platform in communication. The cloud detection service platform is used to generate debugging data and send the debugging data to the electrical quantity excitation module, as well as receive the electrical quantity measurement data uploaded by the gateway module, and compare the electrical quantity measurement data with the The real-time electrical quantity data uploaded by the electrical quantity excitation module is used to obtain the debugging comparison results; the electrical quantity excitation module is used to adjust the electrical quantity excitation signal applied to the sensor device by the adjustable electronic load module according to the debugging data, and to monitor the changes in the electrical quantity of the line in real time, and upload the monitored real-time electrical quantity data to the cloud detection service platform; the sensor device is used to measure the electrical quantity of the line in real time under the simulated load conditions, and upload the measured electrical quantity measurement data to the gateway module; the gateway module is used to receive the electrical quantity measurement data sent by the sensor device in real time, and upload the electrical quantity measurement data to the cloud detection service platform. The above-mentioned sensor device debugging system transmits and stores data through the cloud detection service platform, and through the dynamic interaction function of the cloud platform, it can realize remote debugging and management of electrical intelligent sensor devices of different models and specifications, thereby improving the efficiency of sensor device debugging.

[0068] In one embodiment, as shown in FIG2 , the sensor device debugging system 200 further includes an Internet of Things platform 260 that is communicatively connected to the cloud detection service platform 210 , the electrical quantity excitation module 230 , and the gateway module 220 .

[0069] The cloud detection service platform 210 is used to send debugging data to the electrical quantity incentive module 230 through the Internet of Things platform 260.

[0070] The gateway module 220 is used to upload the electrical quantity measurement data to the cloud detection service platform 210 through the Internet of Things platform 260.

[0071] The electrical quantity incentive module 230 is used to upload real-time electrical quantity data to the cloud detection service platform 210 through the Internet of Things platform 260.

[0072] The IoT platform 260 provides device interconnection, data sharing, and intelligent control capabilities for the electrical system. For example, it can provide a unified interface for various electrical devices, monitor the real-time electrical quantity data generated by each device in the electrical system, and allow remote monitoring of the electrical system's status. In this embodiment, the IoT platform acts as a data transmission medium. The cloud detection service platform can send debugging data to the electrical quantity activation module 230 via the IoT platform 260. The gateway module 220 can send electrical quantity measurement data to the cloud detection service platform 210 via the IoT platform 260 and a specific communication protocol. The electrical quantity activation module 230 can upload real-time electrical quantity data to the cloud detection service platform 210 via the IoT platform 260.

[0073] In this embodiment, the introduction of an IoT platform into the sensor device debugging system facilitates digital transformation of the electrical system, improving the intelligence and manageability of the entire sensor device debugging system. Acting as a data transmission medium, the IoT platform integrates various electrical devices and data, providing a more comprehensive debugging basis for the sensor device debugging system, thereby improving the debugging efficiency of sensor devices.

[0074] In one embodiment, as shown in FIG3 , the sensor device debugging system 200 further includes: a data center 270 that is communicatively connected to the Internet of Things platform 260 and the cloud detection service platform 210 .

[0075] The Internet of Things platform 260 is used to upload the received data to the data center 270 in real time.

[0076] The cloud detection service platform 210 is used to subscribe to target data of the data center 270 in real time. The target data includes electrical quantity measurement data and real-time electrical quantity data.

[0077] Data center 270 can centrally store and manage large amounts of data generated by the electrical system. For example, IoT platform 260 can upload received data to data center 270 in real time, including but not limited to real-time data uploaded from various electrical devices, sensor devices 240, and other data sources, such as electrical quantity measurement data and real-time electrical quantity data. Data center 270 stores this data in a database, and cloud detection service platform 210 connects to data center 270 via a real-time subscription mechanism to obtain required target data, such as electrical quantity measurement data and real-time electrical quantity data.

[0078] In this embodiment, the Internet of Things platform is responsible for uploading the received data to the data center in real time, and the data center centrally stores this real-time data. The cloud detection service platform can subscribe to the required target data from the data center in real time to complete tasks such as debugging of sensor equipment. This collaborative working mode can effectively complete the integration, analysis and use of target data, thereby improving the efficiency of debugging sensor equipment.

[0079] In one embodiment, as shown in FIG4 , the electrical quantity excitation module 230 includes an execution unit 231 and a monitoring unit 232 .

[0080] The execution unit 231 is configured to adjust the output power of the adjustable electronic load module 250 in real time according to the debugging data, so as to adjust the electrical quantity excitation signal applied by the adjustable electronic load module 250 to the sensor device 240 .

[0081] The monitoring unit 232 is used to monitor the changes in the electrical quantity of the line in real time and transmit the monitored real-time electrical quantity data to the cloud detection service platform 210.

[0082] The electrical quantity excitation module 230 further includes an execution unit 231 and a monitoring unit 232. The execution unit 231 can adjust the output power of the adjustable electronic load module 250 in real time based on the debugging data. Specifically, the execution unit 231 can adjust parameters of the adjustable electronic load module 250, such as line current and node voltage, based on the debugging data, thereby adjusting the output power of the adjustable electronic load module 250 to a target power corresponding to the debugging data, thereby changing the electrical quantity excitation signal applied to the sensor device 240.

[0083] The monitoring unit 232 can monitor the changes in electrical quantities in the line in real time, such as line current, node voltage, etc., and upload the real-time electrical quantity data to the cloud detection service platform 210, so as to realize the real-time monitoring and data collection of the sensor equipment debugging system by the cloud detection service platform 210.

[0084] The monitoring unit 232 can also monitor the output power of the adjustable electronic load module 230 in real time and compare it with the target power corresponding to the debugging number. If there is an error between the two, the execution unit can call the PID (Proportional-Integral-Derivative) algorithm to adjust the output power of the adjustable electronic load in real time to achieve the target power.

[0085] In addition, the electrical quantity excitation module 230 can also include a power supply module to provide power for the sensing device 240 and the adjustable electronic load module 250, and the output power of the power supply module can be adjusted. For example, the power supply module can output 220V (volts) / 380V (volts) AC power and 0-220V (volts) adjustable DC power.

[0086] In this embodiment, the electrical quantity excitation module includes an execution unit and a monitoring unit. The sensor device debugging system can realize on-demand debugging of the output power of the adjustable electronic load module through the above two units, and simultaneously monitor the real-time status of each electronic device, thereby realizing refined control of the sensor device debugging system and improving the accuracy of sensor device debugging.

[0087] In one embodiment, as shown in FIG5 , the cloud detection service platform 210 includes a debugging case editing module 211 for acquiring debugging requirement data of the sensor device and generating debugging data of the sensor device 240 according to the debugging requirement data of the sensor device.

[0088] The cloud detection service platform 210 also includes a debugging case editing module 211, which can obtain sensor device debugging requirement data, where the sensor device debugging requirement data can be sensor device model data, performance data, and the user's debugging requirements for the sensor device. Furthermore, the debugging case editing module 211 can generate debugging data for the sensor device based on the sensor device debugging requirement data, such as line current, node voltage, power, etc., to meet the user's debugging requirements. Exemplarily, the debugging case editing module 211 in the cloud detection service platform 210 can obtain and generate corresponding test cases and debugging data based on the user's debugging requirements. The test cases may include micro current sensor acquisition accuracy debugging, micro current sensor overcurrent debugging, and micro current sensor overload debugging, etc.

[0089] In this embodiment, the debugging case editing module in the cloud detection service platform generates corresponding test cases and debugging data according to the user's debugging requirements, which helps the sensor device debugging system to debug the sensor device according to actual needs and enriches the debugging function of the sensor device debugging system.

[0090] In one embodiment, as shown in FIG5 , the cloud detection service platform 210 further includes a debugging result analysis module 212 for comparing electrical quantity measurement data with real-time electrical quantity data uploaded by the electrical quantity excitation module 230 , and generating a debugging report based on the comparison results.

[0091] The cloud detection service platform 210 includes a debugging result analysis module 212, which compares the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module 230 and generates a corresponding debugging report based on the comparison results. The debugging report can include detailed comparison information between the electrical quantity measurement data and the real-time electrical quantity data, such as the micro current sensor's acquisition accuracy, angle, and physical model correctness.

[0092] In this embodiment, the debugging result analysis module in the cloud detection service platform can perform a detailed analysis on the debugging results of the sensor device, thereby improving the accuracy of the debugging of the sensor device.

[0093] In one embodiment, as shown in FIG6 , the cloud detection service platform 210 further includes a cloud storage module 213 for encrypting existing data and distributively storing the encrypted existing data in multiple data storage nodes.

[0094] The cloud detection service platform 210 may also include a cloud storage module 213 that can encrypt existing data to enhance data security. For example, encryption algorithms can be used to encrypt existing data, thereby preventing unauthorized access. Furthermore, the encrypted data can be distributed and stored across multiple data storage nodes to improve data availability and fault tolerance. Even if a node fails, the required data can still be retrieved through other data nodes.

[0095] In this embodiment, the cloud storage module within the cloud detection service platform effectively protects data generated during sensor device debugging, ensuring the confidentiality and integrity of the relevant data. Distributed data storage also enhances the stability of the sensor device debugging system, reducing the risk of data loss or corruption during the debugging process.

[0096] In one embodiment, the cloud storage module 213 includes a data management node and a plurality of data storage nodes that are communicatively connected.

[0097] The data management node is used to distribute existing data to different data storage nodes for storage based on the data characteristics of the existing data and the load status of multiple data storage nodes.

[0098] The data storage node is used to encrypt the received existing data after completing the verification of the received existing data, and store the encrypted existing data.

[0099] The cloud storage module also includes a data management node and multiple data storage nodes. The data management node can allocate existing data to different data storage nodes for storage based on the data characteristics of the existing data and the load status of the multiple data storage nodes. Specifically, the data management node can divide and classify the data based on the data characteristics to select the data storage node that is most suitable for the data.

[0100] Following the above steps, after the data management node assigns the existing data to a data storage node, the data storage node receives the existing data and performs necessary verification to ensure its integrity and accuracy. Furthermore, the data storage node can encrypt the existing data and store it after encryption, for example, writing the data to a storage medium. When needed, the data can be read from the storage medium and decrypted, improving the security of the existing data.

[0101] In this embodiment, through the data management node and multiple data storage nodes in the cloud storage module, the sensor device debugging system can realize distributed storage of data and encryption processing of existing data, thereby enhancing the security and reliability of the data generated during the sensor device debugging process, thereby improving the reliability and security of the sensor device debugging system.

[0102] In one embodiment, as shown in FIG5 , the cloud detection service platform 210 further includes a cloud signature module 214 for pushing a debugging report according to a selected approval level.

[0103] The cloud signature module 214 allows the user to select the approval level for the debug report, or the system can automatically determine the approval level based on the debug report. The approval level can include the management level and approval process corresponding to the debug report. Specifically, after the debug report is generated, the cloud signature module automatically pushes the debug report to the corresponding approver according to the corresponding approval level, thus achieving hierarchical and process-based approval of debug reports, as well as electronic and paperless approval processes.

[0104] In addition, the cloud detection service platform 210 can also be connected to a display device to realize the visual display of debugging information such as electrical quantity test data and debugging reports.

[0105] In this embodiment, the cloud signature module in the cloud detection service platform can automatically implement the distribution and approval process of the debugging report to ensure that the relevant approval levels obtain the debugging report in a timely manner, thereby improving the efficiency of the sensor device debugging system.

[0106] Based on the same inventive concept, an embodiment of the present application also provides a method for debugging a sensing device, which can be applied to the cloud detection service platform 102 shown in FIG6 . The cloud detection service platform 102 is in communication with the electrical quantity excitation module 106 to transmit debugging data. Specifically, an operator may input a debugging request through the cloud detection service platform 102 , and the cloud detection service platform 102 generates debugging data based on the debugging request, and then sends the debugging data to the electrical quantity excitation module 106 . The electrical quantity excitation module 106 is connected to the adjustable electronic load module 110 through the sensing device 108 . The electrical quantity excitation module 106 adjusts the electrical excitation signal applied by the adjustable electronic load module 110 to the sensing device 108 based on the debugging data, monitors the electrical quantity changes of the circuit in real time, and uploads the monitored real-time electrical quantity data to the cloud detection service platform 102 . The sensing device 108 is in communication with the gateway module 104, which is in turn in communication with the cloud detection service platform 102. The sensing device 108 can measure line electrical quantities in real time under simulated load conditions and upload the measured electrical quantity data to the gateway module 104. The gateway module 104 then uploads the received electrical quantity measurement data to the cloud detection service platform 102. The cloud detection service platform 102 can receive the electrical quantity measurement data uploaded by the gateway module 104 and compare the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module 106 to obtain a debugging comparison result.

[0107] In one embodiment, as shown in FIG7 , a sensor device debugging method is provided, which is applied to the cloud detection service platform in each of the above system embodiments. The method includes:

[0108] S200 , acquiring debugging requirement data of the sensor device, and generating debugging data of the sensor device according to the debugging requirement data of the sensor device.

[0109] Among them, the debugging requirement data of the sensor device may include the model, accuracy, range of the sensor device, and the user's debugging requirements for the sensor device. Debugging data is a data set compiled by the cloud detection service platform to verify system performance and functions. For example, data determined and used for testing, analyzing, and adjusting electrical systems includes but is not limited to input, output, and parameters of related electrical equipment in a simulated electrical environment. Specifically, the user can input the debugging requirements for the sensor device through the terminal, and the server automatically matches the corresponding sensor device debugging case based on the debugging requirements to determine the debugging data of the sensor device. Alternatively, the user can directly input the debugging data of the sensor device through the terminal.

[0110] S400, sending the debugging data to the electrical quantity excitation module, so that the electrical quantity excitation module adjusts the electrical quantity excitation signal applied by the adjustable electronic load module to the sensing device, and monitors the electrical quantity changes of the circuit in real time to obtain real-time electrical quantity data.

[0111] Following the above steps, after determining the debugging data of the sensing device, the cloud detection service platform sends the debugging data to the electrical quantity excitation module so that the module can accordingly adjust the electrical quantity excitation signal applied to the sensing device by the adjustable electronic load module. Specifically, the electrical quantity excitation module can generate a corresponding debugging signal based on the debugging data and send the debugging signal to the adjustable electronic load. The adjustable electronic load can simulate the behavior of the electrical system under different load conditions based on the debugging signal, such as changing the current, voltage, etc., thereby providing a flexible and changeable electrical environment for the debugging of the sensing device, so that the electrical quantity excitation signal applied to the sensing device also changes. In addition, the electrical quantity excitation module can also monitor the changes in the electrical quantity of the line in real time and upload the monitored real-time electrical quantity data to the cloud detection service platform for subsequent debugging of the sensing device.

[0112] S600: Receive real-time electrical quantity data uploaded by the electrical quantity excitation module and electrical quantity measurement data uploaded by the sensor device.

[0113] Electrical measurement data refers to data collected by sensing devices, including but not limited to voltage and current under various simulated electrical environments. Real-time electrical data refers to data monitored by the electrical excitation module during commissioning, including but not limited to real-time node voltage and line current. These values ​​can be collected in real time by sensors or measurement devices within the electrical excitation module.

[0114] The cloud detection service platform receives real-time electrical quantity data uploaded by the electrical quantity excitation module and electrical quantity measurement data uploaded by sensing devices. Specifically, taking a micro current sensor as an example, the cloud detection service platform can send debugging data to the electrical quantity excitation module to instruct it to adjust the adjustable electronic load and apply current to the micro current sensor. The micro current sensor generates electrical quantity measurement data in response to changes in current and feeds this data back to the cloud detection service platform via the gateway module. Simultaneously, the electrical quantity excitation module collects real-time electrical quantity data from the electrical system and feeds it back to the cloud detection service platform.

[0115] S800: Compare the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module to obtain a debugging comparison result.

[0116] The cloud-based testing service platform compares and analyzes electrical quantity measurement data with real-time electrical quantity data, generating debugging comparison results. By analyzing these debugging comparison results, targeted debugging of sensor devices can be performed. Sensor devices can include, but are not limited to, micro current sensors and low-voltage circuit breakers.

[0117] The above-mentioned sensor device debugging method obtains sensor device debugging requirement data and generates debugging data for the sensor device based on the sensor device debugging requirement data to meet the user's diverse debugging needs. The debugging data is then sent to the electrical quantity excitation module, causing the electrical quantity excitation module to adjust the electrical quantity excitation signal applied to the sensor device by the adjustable electronic load module and monitor the changes in the electrical quantity of the circuit in real time to obtain real-time electrical quantity data. Furthermore, the real-time electrical quantity data uploaded by the electrical quantity excitation module and the electrical quantity measurement data uploaded by the sensor device are received, and the electrical quantity measurement data and the real-time electrical quantity data uploaded by the electrical quantity excitation module are compared to obtain a debugging comparison result. Through the above-mentioned method, the sensor device can be debugged according to the debugging requirements. Since the method is applied to the cloud detection service platform, remote debugging and management of the sensor device can be achieved, thereby improving the debugging efficiency of the sensor device.

[0118] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0119] Based on the same inventive concept, embodiments of the present application also provide a sensor device debugging apparatus for implementing the aforementioned sensor device debugging method. The solution provided by this apparatus is similar to the solution described in the aforementioned method. Therefore, the specific limitations of one or more sensor device debugging apparatus embodiments provided below can be found in the aforementioned limitations of the sensor device debugging method and will not be further elaborated here.

[0120] In one embodiment, as shown in FIG8 , a sensor device debugging apparatus 800 is provided, comprising: a data acquisition module 810 , a data debugging module 820 , a data receiving module 830 , and a data comparison module 840 , wherein:

[0121] The data acquisition module 810 is used to acquire the debugging requirement data of the sensor device and generate the debugging data of the sensor device according to the debugging requirement data of the sensor device;

[0122] The data debugging module 820 is used to send debugging data to the electrical quantity excitation module so that the electrical quantity excitation module adjusts the electrical quantity excitation signal applied to the sensing device by the adjustable electronic load module, and monitors the electrical quantity changes of the circuit in real time to obtain real-time electrical quantity data;

[0123] The data receiving module 830 is used to receive the real-time electrical quantity data uploaded by the electrical quantity excitation module and the electrical quantity measurement data uploaded by the sensor device;

[0124] The data comparison module 840 is used to compare the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module to obtain a debugging comparison result.

[0125] Each module in the above-mentioned sensor device debugging apparatus can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0126] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in Figure 9. The computer device includes a processor, a memory, an input / output interface (I / O), and a communication interface. The processor, memory, and I / O interface are connected via a system bus, and the communication interface is connected to the system bus via the I / O interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store debugging data, etc. The I / O interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a method for debugging a sensing device is implemented.

[0127] Those skilled in the art will understand that the structure shown in Figure 9 is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0128] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above-mentioned sensor device debugging method embodiments when executing the computer program.

[0129] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned sensor device debugging method embodiments are implemented.

[0130] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the steps in the above-mentioned sensor device debugging method embodiments are implemented.

[0131] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions.

[0132] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.

[0133] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0134] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A sensor device debugging system, characterized in that: The system comprises: a cloud detection service platform, a gateway module, an electrical quantity excitation module, a sensing device and an adjustable electronic load module, wherein the cloud detection service platform is communicatively connected to the electrical quantity excitation module, the electrical quantity excitation module is connected to the adjustable electronic load module via the sensing device, the sensing device is communicatively connected to the gateway module, and the gateway module is communicatively connected to the cloud detection service platform; The cloud detection service platform is used to generate debugging data, send the debugging data to the electrical quantity excitation module, receive the electrical quantity measurement data uploaded by the gateway module, compare the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module, and obtain a debugging comparison result; The electrical quantity excitation module is used to adjust the electrical quantity excitation signal applied to the sensing device by the adjustable electronic load module according to the debugging data, and to monitor the electrical quantity changes of the circuit in real time, and upload the monitored real-time electrical quantity data to the cloud detection service platform; The sensor device is used to measure the line electrical quantity in real time under the simulated load condition, and upload the measured electrical quantity measurement data to the gateway module; The gateway module is used to receive the electrical quantity measurement data sent by the sensor device in real time, and upload the electrical quantity measurement data to the cloud detection service platform.

2. The system according to claim 1, characterized in that The system further comprises: an Internet of Things platform which is communicatively connected to the cloud detection service platform, the electrical quantity excitation module and the gateway module respectively; The cloud detection service platform is used to send the debugging data to the electrical quantity excitation module through the Internet of Things platform; The gateway module is used to upload the electrical quantity measurement data to the cloud detection service platform through the Internet of Things platform; The electrical quantity incentive module is used to upload real-time electrical quantity data to the cloud detection service platform through the Internet of Things platform.

3. The system according to claim 1, characterized in that The sensing device includes a micro current sensor; The electrical quantity excitation module is also used to adjust the adjustable electronic load according to the debugging data and apply current to the micro current sensor.

4. The system according to claim 2, characterized in that The system further comprises: a data center which is communicatively connected to the Internet of Things platform and the cloud detection service platform respectively; The Internet of Things platform is used to upload the received data to the data center in real time; The cloud detection service platform is used to subscribe to the target data of the data center in real time, and the target data includes the electrical quantity measurement data and the real-time electrical quantity data.

5. The system according to claim 4, characterized in that The Internet of Things platform is used to upload the electrical quantity measurement data and the real-time electrical quantity data to the data center.

6. The system according to any one of claims 1 to 5, characterized in that: The electrical quantity excitation module includes: an execution unit and a monitoring unit; The execution unit is used to adjust the output power of the adjustable electronic load module in real time according to the debugging data, so as to adjust the electrical quantity excitation signal applied by the adjustable electronic load module to the sensor device; The monitoring unit is used to monitor the changes in the electrical quantity of the line in real time and transmit the monitored real-time electrical quantity data to the cloud detection service platform.

7. The system according to claim 6, characterized in that The execution unit is used to adjust the line current or node voltage of the adjustable electronic load module according to the debugging data, so as to adjust the output power of the adjustable electronic load module to a target power corresponding to the debugging data.

8. The system according to claim 6, characterized in that The monitoring unit is used to monitor the output power of the adjustable electronic load module in real time, and compare the output power with the target power corresponding to the debugging data; The execution unit is used for adjusting the output power of the adjustable electronic load module in real time when the output power is not equal to the target power.

9. The system according to claim 6, wherein the electrical quantity excitation module further comprises a power supply module; The power supply module is used to provide power to the sensor device and the adjustable electronic load module.

10. The system according to any one of claims 1 to 5, characterized in that: The cloud detection service platform includes a debugging case editing module, which is used to obtain debugging requirement data of the sensor device and generate debugging data of the sensor device according to the debugging requirement data of the sensor device.

11. The system according to claim 10, characterized in that The cloud detection service platform also includes a debugging result analysis module, which is used to compare the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module, and generate a debugging report based on the comparison result.

12. The system according to claim 11, characterized in that The cloud detection service platform also includes a cloud storage module, which is used to encrypt existing data and store the encrypted existing data in a distributed manner in multiple data storage nodes.

13. The system according to claim 12, characterized in that The cloud storage module includes a data management node and a plurality of data storage nodes that are communicatively connected; The data management node is used to distribute the existing data to different data storage nodes for storage according to the data characteristics of the existing data and the load status of the plurality of data storage nodes; The data storage node is used to encrypt the received existing data and store the encrypted existing data after completing the verification of the received existing data.

14. The system according to any one of claims 11 or 12, characterized in that: The cloud detection service platform also includes a cloud signature module, which is used to push the debugging report according to the selected approval level.

15. A sensor device debugging method, characterized in that: A cloud detection service platform applied to a sensor device debugging system according to any one of claims 1 to 14, the method comprising: Acquire debugging requirement data of the sensor device, and generate debugging data of the sensor device according to the debugging requirement data of the sensor device; The debugging data is sent to the electrical quantity excitation module, so that the electrical quantity excitation module adjusts the electrical quantity excitation signal applied to the sensing device by the adjustable electronic load module, and monitors the electrical quantity changes of the circuit in real time to obtain real-time electrical quantity data; Receiving real-time electrical quantity data uploaded by the electrical quantity excitation module and electrical quantity measurement data uploaded by the sensor device; The electrical quantity measurement data is compared with the real-time electrical quantity data uploaded by the electrical quantity excitation module to obtain a debugging comparison result.

16. A sensor device debugging device, characterized in that: A cloud detection service platform applied to a sensor device debugging system according to any one of claims 1 to 14, the device comprising: A data acquisition module, used to acquire debugging requirement data of the sensor device, and generate debugging data of the sensor device according to the debugging requirement data of the sensor device; A data processing module, used for sending the debugging data to the electrical quantity excitation module, so that the electrical quantity excitation module adjusts the electrical quantity excitation signal applied to the sensing device by the adjustable electronic load module, and monitors the electrical quantity changes of the circuit in real time to obtain real-time electrical quantity data; A data receiving module, used for receiving the real-time electrical quantity data uploaded by the electrical quantity excitation module and the electrical quantity measurement data uploaded by the sensor device; The data comparison module is used to compare the electrical quantity measurement data with the real-time electrical quantity data uploaded by the electrical quantity excitation module to obtain a debugging comparison result.

17. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to claim 15 are implemented.

18. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to claim 15 are implemented.

19. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to claim 15 are implemented.

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