Distributed remote detection equipment

Abstract

The invention discloses a distributed remote detection device, and relates to the field of remote detection, and the device comprises a central control unit and a plurality of remote detection units based on the PXI standard. The central control unit is used for receiving and processing detection data acquired by the remote detection unit; the plurality of remote detection units are distributed at different geographic positions, and are used for synchronously acquiring detection data by adopting a time synchronization protocol, encrypting and compressing the detection data, and transmitting the detection data to the central control unit by adopting a verification mechanism. The problem of limitation of traditional detection equipment can be effectively solved.

Description

Technical Field

[0001] The present application relates to the field of remote detection, and in particular to a distributed remote detection device. Background Art

[0002] With the continuous improvement of industrial automation level, the demand for remote detection equipment is increasing. Although existing detection equipment has made significant progress in many fields, it is usually limited by physical location, which makes it unable to meet the needs of long-distance or multi-point synchronous detection. In addition, traditional detection methods may have delays or security risks during data transmission, which limits their application in complex environments. Among them,

[0003] Distance limitations include: limitations of wired connections and interference of wireless connections; the limitations of wired connections are that many traditional detection devices rely on wired connections (such as RS-232, USB, etc.), and the maximum transmission distance of wired connections is limited, usually not more than tens of meters. This makes it difficult to achieve effective data transmission in large factories, mines or remote monitoring scenarios. The interference of wireless connections is that in the process of long-distance transmission of wireless connections (such as Wi-Fi, Bluetooth), it is easily affected by electromagnetic interference, signal attenuation and other problems in complex industrial environments, which in turn affects the stability and reliability of data transmission. In multi-point synchronous detection, the clock synchronization accuracy between different detection points is very high. Traditional detection equipment often lacks an efficient clock synchronization mechanism, resulting in deviations in data collection time, affecting the final analysis results. In addition, during multi-point detection, the data format and transmission protocol between different detection devices may be inconsistent, resulting in difficulties in data integration and analysis. Additional software and hardware support is required to achieve data consistency and standardization. In addition, traditional detection equipment usually needs to be fixedly installed in a specific location. Once installed, it is difficult to move and reconfigure, which in turn causes inconvenience in application scenarios where frequent adjustment of the detection position is required. In addition, when fixed-installed equipment fails, on-site maintenance personnel are required to inspect and repair it, which increases maintenance costs and time. When using public networks for data transmission, data may be at risk of being intercepted and tampered with. Traditional detection equipment often lacks sufficient security measures to ensure data integrity and confidentiality. Although building and maintaining a dedicated private network can improve security, it is costly and not suitable for all application scenarios. In addition, in harsh environments such as high temperature, low temperature, high humidity, and strong electromagnetic interference, the performance and stability of traditional detection equipment can be seriously affected, which in turn limits its application in special industrial environments.

[0004] To sum up, the existing detection equipment has many limitations in terms of physical location, multi-point synchronous detection, installation and maintenance, data transmission security and environmental adaptability. Based on the above problems, there is an urgent need to provide a distributed remote detection device to overcome the limitations of the existing technology in this field and realize more efficient, safer and more flexible remote detection applications. Summary of the invention

[0005] The purpose of this application is to provide a distributed remote detection device that can effectively solve the limitations of traditional detection equipment.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] The present application provides a distributed remote detection device, the distributed remote detection device comprising: a central control unit and a plurality of remote detection units based on the PXI standard;

[0008] The central control unit is used to receive and process the detection data collected by the remote detection unit; the detection data includes: sensor data and operation data; the sensor data includes: temperature, pressure and vibration value; the operation data includes: voltage, current, resistance and capacitance;

[0009] Multiple remote detection units are distributed in different geographical locations and are used to synchronously collect detection data using a time synchronization protocol. The detection data is encrypted and compressed, and then transmitted to the central control unit using a verification mechanism.

[0010] Optionally, the central control unit communicates with the remote detection unit via an encrypted communication protocol.

[0011] Optionally, the central control unit includes: a main processor, a memory and a communication interface;

[0012] The main processor is used for decompressing and decrypting the detection data collected by the remote detection unit; the memory is used for storing the decompressed and decrypted detection data; and the communication interface is used for communicating with the remote detection unit.

[0013] Optionally, the remote detection unit includes: a data acquisition subunit, a sensor interface, a signal conditioning circuit and a communication subunit;

[0014] The data acquisition subunit is used to obtain detection data through the sensor interface;

[0015] The signal conditioning circuit is used to pre-process the detection data; the pre-processing includes: amplification, filtering, isolation, level conversion, sampling and holding, and analog-to-digital conversion;

[0016] The communication subunit is used to encrypt and compress the detection data and then transmit it using a verification mechanism.

[0017] Optionally, the signal conditioning circuit includes: a preamplifier, a filter, an isolation circuit, a level conversion circuit, a sample and hold circuit, a power management circuit and an analog-to-digital converter.

[0018] Optionally, the encryption algorithm is an AES algorithm.

[0019] Optionally, the compression algorithm is Huffman coding, DEFLATE algorithm or LZW algorithm.

[0020] Optionally, the verification mechanism is a cyclic redundancy check.

[0021] Optionally, the time synchronization protocol is the NTP protocol.

[0022] Optionally, the distributed remote detection device further comprises: central management software, data analysis tools and data storage units;

[0023] Central management software is used to provide a user interface and to configure, monitor and analyze test data;

[0024] Data analytics tools for real-time data visualization, trend analysis, and data anomaly detection;

[0025] The data storage unit is used to store the detection data to a cloud storage server or a local database.

[0026] According to the specific embodiments provided in this application, this application has the following technical effects:

[0027] The present application provides a distributed remote detection device, which collects detection data through remote detection units based on the PXI standard (PCI Extensions for Instrumentation, PXI) distributed in different geographical locations. It can ensure the security of data through encrypted compressed communication on the basis of remote deployment, ensure the security of data transmission, and is suitable for applications in sensitive environments; it realizes remote multi-point synchronous detection, improves detection efficiency and accuracy, and supports remote configuration and maintenance, reducing maintenance costs. In addition, the present application has good scalability and can be flexibly adjusted according to actual needs; and thus the present application can effectively solve the limitations of traditional detection equipment, such as distance restrictions, data transmission delays and security. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 This is a structural diagram of a distributed remote detection device in an embodiment of the present application;

[0030] Figure 2 Schematic diagram of the structure of a PXI resource chassis system in one embodiment of the present application. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0032] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0033] In an exemplary embodiment, Figure 1 As shown, the present application provides a distributed remote detection device, which includes: a central control unit and a plurality of remote detection units based on the PXI standard;

[0034] The central control unit is used to receive and process the detection data collected by the remote detection unit; the detection data includes: sensor data and operation data; the sensor data includes: temperature, pressure and vibration value; the operation data includes: voltage, current, resistance and capacitance;

[0035] Multiple remote detection units are distributed in different geographical locations and are used to synchronously collect detection data using a time synchronization protocol. The detection data is encrypted and compressed, and then transmitted to the central control unit using a verification mechanism.

[0036] Among them, the PXI standard is an open industrial standard based on the local bus (Peripheral Component Interconnect, PCI) for test and measurement application design. The PXI standard combines the ruggedness of CompactPCI with the timing and triggering functions of the bus protocol (VME Extensions for Instrumentation, VXI), providing a high-performance, high-reliability modular instrument platform.

[0037] like Figure 2 As shown in the figure, the PXI resource chassis system includes: PXI chassis, embedded controller, serial port control module, digital multimeter, multi-function I / O module, matrix switch module, programmable power supply and reserved module; the PXI resource chassis system allows users to flexibly configure the system according to specific needs, and supports high-speed data transmission, up to 16Gbps (PCIeGen3 x4); the PXI resource chassis system adopts a solid mechanical structure and strict electrical specifications, and can work stably in harsh industrial environments; and provides rich timing and triggering resources, supports precise time synchronization and event triggering, and is suitable for multi-point synchronous detection; it is compatible with multiple operating systems and programming languages, supports a wide range of third-party software and hardware, and is convenient for users to integrate and develop;

[0038] The following details the selection, performance characteristics and reasons for the selection of each module component in the PXI resource chassis system:

[0039] (1) PXI chassis

[0040] In order to realize the function of comprehensive training and ejection detection, the PXIe-1092 chassis of NI was selected to reduce costs as much as possible while having a certain amount of redundant space. The above chassis is an advanced PXIe chassis with 10 slots, a maximum system bandwidth of 24GB / s, a slot cooling capacity of 82 watts, and an onboard clock type of VCXO, which can better meet the design requirements, has a certain amount of redundant space, and is cost-effective.

[0041] (2) Embedded Controller

[0042] Considering the practical use and convenience of operation, the PXI-8820 controller is selected as the embedded controller of the PXI resource chassis system. Its processor core is Intel Celeron, and the PXI resource chassis system is 32-bit Windows7, which can achieve a maximum controller bandwidth of 132MB / s. On the basis of meeting the performance requirements, it is closer to daily use and has a relatively low cost.

[0043] (3)Serial port control module

[0044] The PXI-8430 / 2 serial port control module is selected, which has 2 serial channels and supports RS232 serial port protocol, which can effectively meet the design requirements.

[0045] (4) Digital multimeter

[0046] The digital multimeter is one of the key components of the PXI resource chassis system, which can measure parameters such as voltage, current, resistance, inductance, capacitance, frequency / period, on / off, and temperature. The PXI-4072 digital multimeter was selected, which has a resolution of 6.5 bits, a DC voltage measurement range of -300V to 300V, and a maximum sampling rate of 1.8MB / s, which meets the general test requirements.

[0047] (5) Multifunctional I / O Module

[0048] The multifunctional I / O module can realize analog and digital I / O, counter, timer and trigger functions at the same time, and has high timing accuracy and sampling and output accuracy. The PXI-6224 multifunctional I / O module is selected, which has a maximum single-ended analog input channel number of 32, a maximum differential analog input channel number of 16, a maximum sampling rate of 250kS / s, a bidirectional digital channel number of 48, and 2 counters / timers, which can better meet the test requirements.

[0049] (6) Matrix switch module

[0050] The matrix switch module can realize the connection between any channels, greatly improving the flexibility of the test system design. The PXI-2534 matrix switch module is selected, which contains a variety of relay modules and can adapt to various test requirements. The number of crosspoints is 256, the switching bandwidth is 2MHz, and the scanning rate is 400times / s.

[0051] (7) Programmable power supply

[0052] The programmable power supply module can realize analog excitation and provide programmable DC power supply. The PXIe-4112 programmable power supply is selected, which has 2 power supply channels, an analog output voltage range of 0V to 60V, an external power supply, and includes an auxiliary power supply.

[0053] (8) Reserved module

[0054] In order to achieve sustainable iterative upgrades of testing equipment, there should be a certain amount of redundant space when designing the test chassis to reserve space for subsequent replacement and addition of other modules.

[0055] In order to ensure the security and integrity of data transmission, the central control unit and the remote detection unit are connected using a wired or wireless network; the central control unit and the remote detection unit communicate through an encrypted communication protocol.

[0056] Encrypted communication protocols include: SSL or TLS;

[0057] In a specific embodiment, TLS is used to implement secure communication between the central control unit and the remote detection unit. The specific communication process is:

[0058] S1, the central control unit initiates a TLS handshake request.

[0059] S2, the remote detection unit responds to the handshake request and exchanges certificates and public keys.

[0060] S3, both parties negotiate the encryption algorithm and key.

[0061] The data transmission process is:

[0062] S10, data is encrypted before transmission, using the negotiated key.

[0063] S20: The receiver decrypts the data and performs integrity check.

[0064] After the communication is completed, both parties disconnect the TLS connection, thereby ensuring that data transmission in the distributed remote detection equipment system is both safe and reliable.

[0065] In order to be responsible for receiving the detection data from the remote detection unit and performing preliminary processing, the central control unit includes: a main processor, a memory and a communication interface;

[0066] The main processor is used for decompressing and decrypting the detection data collected by the remote detection unit; the memory is used for storing the decompressed and decrypted detection data; and the communication interface is used for communicating with the remote detection unit.

[0067] The remote detection unit based on the PXI standard is highly scalable and compatible. The remote detection unit includes: a data acquisition subunit, a sensor interface, a signal conditioning circuit and a communication subunit;

[0068] The data acquisition subunit is used to obtain detection data through the sensor interface;

[0069] The signal conditioning circuit is used to pre-process the detection data to ensure the quality of the detection data; the pre-processing includes: amplification, filtering, isolation, level conversion, sampling and holding, and analog-to-digital conversion;

[0070] The communication subunit is used to encrypt and compress the detection data and then transmit it using a verification mechanism.

[0071] The signal conditioning circuit includes: a preamplifier, a filter, an isolation circuit, a level conversion circuit, a sample and hold circuit, a power management circuit and an analog-to-digital converter.

[0072] The preamplifier amplifies the weak signal output by the sensor to reach a suitable level; the specific structure is implemented using an operational amplifier (Op-Amp). The preamplifier can be a single-stage or multi-stage amplification, depending on the required gain.

[0073] The filter is used to filter out noise and unnecessary frequency components to improve the signal-to-noise ratio of the signal; the filter includes: a low-pass filter that filters out high-frequency noise, a high-pass filter that filters out low-frequency noise (such as DC offset), a band-pass filter that only allows signals within a specific frequency range to pass, and a band-stop filter that filters out signals within a specific frequency range;

[0074] Isolation circuits are used to prevent electrical interference between sensors and data acquisition systems and protect the system from high voltage shocks. Common isolation methods include optocoupler and transformer isolation.

[0075] The level conversion circuit is used to convert the signal level into a range suitable for ADC input. The level conversion is achieved using a voltage follower, a voltage divider or an operational amplifier.

[0076] The sample-and-hold circuit is used to keep the signal level stable during ADC sampling to avoid sampling errors. It usually includes a sampling switch and a holding capacitor.

[0077] The power management circuit is used to provide a stable power supply to ensure the normal operation of the signal conditioning circuit. It usually includes a voltage regulator, a filter capacitor, and a protection circuit.

[0078] Analog-to-digital converters (ADCs) are used to convert analog signals into digital signals.

[0079] The encryption algorithm is Advanced Encryption Standard (AES) or other advanced encryption standards to ensure the security of data transmission.

[0080] In order to reduce the bandwidth requirement for data transmission, improve transmission efficiency, and reduce storage costs, the compression algorithm is Huffman coding, DEFLATE algorithm, or LZW algorithm.

[0081] Compressing the detection data has the following effects:

[0082] (1) Reduce bandwidth requirements: By compressing data, the bandwidth required for transmission can be significantly reduced, especially when network bandwidth is limited.

[0083] (2) Improve transmission speed: The amount of compressed data is smaller and can be transmitted faster, thereby improving the response speed of the overall system.

[0084] (3) Save storage space: Compressed data takes up less storage space, which can extend the service life of the storage medium and reduce storage costs.

[0085] (4) Improve storage efficiency: For data that needs to be stored for a long time, compression can significantly reduce the capacity requirements of the storage medium.

[0086] (5) Reduce computational burden: The amount of compressed data is smaller, which can reduce the computational burden of the central control unit and improve the real-time processing capability of the system.

[0087] In a specific embodiment, the DEFLATE algorithm is used to compress data, and the specific process is:

[0088] S11, data collection: the data collected by the remote detection unit is digitized through the remote detection unit.

[0089] S12, data compression: use the DEFLATE algorithm to compress the digitized data.

[0090] S13, data transmission: The compressed data is transmitted to the central control unit via a secure communication network.

[0091] S14, data decompression: After receiving the data, the central control unit uses the DEFLATE algorithm to decompress it and restore the original data.

[0092] S15 Data Processing: The decompressed data is further processed and analyzed in the central control unit.

[0093] In order to verify data integrity, the check mechanism in this application is a cyclic redundancy check (CRC).

[0094] In order to ensure the synchronous data collection of each detection point, the time synchronization protocol is the NTP protocol.

[0095] In a specific exemplary embodiment, the distributed remote detection device further comprises: central management software, data analysis tools, and a data storage unit;

[0096] Central management software is used to provide a user interface and to configure, monitor and analyze test data;

[0097] Data analytics tools for real-time data visualization, trend analysis, and data anomaly detection;

[0098] The data storage unit is used to store the detection data to a cloud storage server or a local database.

[0099] This application can realize remote multi-point synchronous detection, improve detection efficiency and accuracy. Ensure the security of data transmission, suitable for applications in sensitive environments. Support remote configuration and maintenance, reduce maintenance costs. With good scalability, it can be flexibly adjusted according to actual needs.

[0100] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above 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.

[0101] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A distributed remote detection device, characterized in that: The distributed remote detection device includes: a central control unit and a plurality of remote detection units based on the PXI standard; The central control unit is used to receive and process the detection data collected by the remote detection unit; the detection data includes: sensor data and operation data; the sensor data includes: temperature, pressure and vibration value; the operation data includes: voltage, current, resistance and capacitance; Multiple remote detection units are distributed in different geographical locations and are used to synchronously collect detection data using a time synchronization protocol. The detection data is encrypted and compressed, and then transmitted to the central control unit using a verification mechanism.

2. The distributed remote detection device according to claim 1, characterized in that: The central control unit communicates with the remote detection unit via an encrypted communication protocol.

3. The distributed remote detection device according to claim 1, characterized in that: The central control unit includes: a main processor, a memory and a communication interface; The main processor is used for decompressing and decrypting the detection data collected by the remote detection unit; the memory is used for storing the decompressed and decrypted detection data; and the communication interface is used for communicating with the remote detection unit.

4. The distributed remote detection device according to claim 1, characterized in that: The remote detection unit includes: a data acquisition subunit, a sensor interface, a signal conditioning circuit and a communication subunit; The data acquisition subunit is used to obtain detection data through the sensor interface; The signal conditioning circuit is used to pre-process the detection data; the pre-processing includes: amplification, filtering, isolation, level conversion, sampling and holding, and analog-to-digital conversion; The communication subunit is used to encrypt and compress the detection data and then transmit it using a verification mechanism.

5. The distributed remote detection device according to claim 4, characterized in that: The signal conditioning circuit includes: a preamplifier, a filter, an isolation circuit, a level conversion circuit, a sample and hold circuit, a power management circuit and an analog-to-digital converter.

6. The distributed remote detection device according to claim 4, characterized in that: The encryption algorithm is AES.

7. The distributed remote detection device according to claim 4, characterized in that: The compression algorithm is Huffman coding, DEFLATE algorithm or LZW algorithm.

8. The distributed remote detection device according to claim 1, characterized in that: The verification mechanism is a cyclic redundancy check.

9. The distributed remote detection device according to claim 1, characterized in that: The time synchronization protocol is the NTP protocol.

10. The distributed remote detection device according to claim 1, characterized in that: The distributed remote detection equipment also includes: central management software, data analysis tools and data storage units; Central management software is used to provide a user interface and to configure, monitor and analyze test data; Data analytics tools for real-time data visualization, trend analysis, and data anomaly detection; The data storage unit is used to store the detection data to a cloud storage server or a local database.

Images