Power distribution network intelligent measurement and control terminal based on open architecture
A technology for measurement and control terminals and power distribution networks, applied in electrical components, circuit devices, information technology support systems, etc., can solve problems such as difficulty in interconnection and configuration, and achieve the effect of flexible layout, easy on-site configuration, and variable functions
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Embodiment 1
[0031] like figure 1 As shown, this embodiment proposes an intelligent measurement and control terminal for a distribution network based on an open architecture, see figure 1 , The distribution network intelligent measurement and control terminal includes: an internal control processing unit, a state monitoring and diagnosis unit, a data collection unit, a data integration unit and a protection test unit. The monitoring and diagnosis unit, the data collection unit, the data integration unit and the protection test unit are connected in communication; in this embodiment, the internal control processing unit conducts two-way real-time communication with the power grid master station through Ethernet / GPRS, and further such as figure 2 As shown in the wiring diagram of the internal control processing unit, the core of the internal control processing unit is the MCU central processing unit, the model is PIC24EP512GU814, which are respectively connected to the chip SST25VF032B, the...
Embodiment 2
[0043] In addition to the basic structure of the open-architecture-based distribution network intelligent measurement and control terminal proposed in Example 1, see Figure 4 , The distribution network intelligent measurement and control terminal also includes a fault prediction unit, which is connected to the state monitoring and diagnosis unit. The fault prediction unit takes the electrical equipment faults detected by the state monitoring and diagnosis unit as the prediction basis. From the fault time t0 of the electrical equipment to the future time t1, predict the early faults in the future, store the predicted early fault information, display it through the man-machine interface for early warning, and notify the operator. When , the staff must first predict the model, and the specific contents include: data granularity, number and number of selected features.
[0044] The state monitoring and diagnosis unit is encapsulated with a neural network model based on Self-Organ...
Embodiment 3
[0047] In this embodiment, the intelligent measurement and control terminal of the distribution network uses serial ports to expand non-electricity measurement and control, so as to access environmental data under different working conditions.
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