Processing equipment cutting chatter energy acquisition circuit for intelligent Internet-of-Things manufacturing system

Abstract

The invention discloses a processing equipment cutting chatter energy acquisition circuit and energy acquisition method for an intelligent Internet-of-Things manufacturing system. The energy acquisition circuit comprises an extreme value detection circuit which comprises a positive extreme value detection circuit, a negative extreme value detection circuit and a first inductor and is used for detecting the positive and negative extreme values of the output voltage of a piezoelectric vibrator; a rectifying and filtering circuit which comprises a rectifying bridge and a filtering capacitor and is used for controlling the stability of the output voltage; a voltage stabilizing circuit which comprises a triode, a voltage stabilizing diode and a resistor and is used for providing stable voltage for the super capacitor; a storage and load circuit which comprises a super capacitor and a load resistor and is used for providing continuous and stable voltage for the intelligent sensing node; and an equivalent circuit of the piezoelectric vibrator which comprises an alternating current source and a capacitor and is used for simulating a real working state of the piezoelectric vibrator.

Description

technical field [0001] The invention belongs to the field of cutting chatter energy acquisition of processing equipment in an intelligent IoT manufacturing system, and relates to an energy acquisition circuit, in particular to a cutting chatter energy acquisition circuit and method for processing equipment in an intelligent IoT manufacturing system. Background technique [0002] The manufacturing industry is the material basis and industrial subject of the national economy, and an important symbol to measure the development of the national economy. With the acceleration of economic globalization and the in-depth development of market economy, manufacturing enterprises are facing increasingly fierce market competition. Discrete manufacturing, especially multi-variety, small-batch, multi-batch, and multi-model simultaneous production is becoming the mainstream production method. For multi-variety, small batch, multi-batch, and multi-model, the discrete manufacturing process i...

AI Technical Summary

Problems solved by technology

Battery power supply has its own disadvantages. ①When the battery power is insufficient, leaking or poorly connected, the communication sensitivity and communication distance of the network nodes are greatly reduced, and even the communication fails in serious cases. Therefore, it is necessary to replace the battery frequently or charge the battery, which increases the Cost of use; ② batteries contain heavy metals, and improper disposal of waste batteries will cause serious environmental pollution; wired power supply has its own shortcomings, ① high investment cost

Cables must be arranged for wired power supply. Once the number of discrete manufacturing workshops and processing equipment is large, the wiring is quite difficult, requiring a lot of manpower and material resources, and the construction time is long

② Poor scalability

It needs to be re-wired, the construction is more troublesome, and it may damage the original power supply line

③ Difficult to inspect and repair

When a fault occurs, it is necessary to check along the power supply line and intelligent sensing nodes, and it is generally difficult to find out the fault point in time

④For multi-node wireless sensor networks, it is cumbersome and redundant, and its mobility is extremely poor

Usually, the energy harvesting device is connected with the full-bridge rectifier circuit (SEH), but the effect of the full-bridge rectifier circuit directly used in the power generation system is not ideal, due to the internal clip capacitor C of the piezoelectric vibrator 0 Due to the existence of the voltage and current, there is always a certain phase difference between the voltage and the current, resulting in reactive power in the full-bridge rectifier circuit and low collection efficiency.

In order to improve the collection efficiency of the flutter energy harvesting system, researchers have proposed a variety of nonlinear energy harvesting circuits, but some of these current nonlinear energy harvesting circuits are too complicated to implement and require more external control circuits. The power consumed by these control circuits seriously affects the acquisition efficiency of the system

In addition, these circuits all use discrete components, which are large in size and are not conducive to integration.

[0009] Invention patent "micro-energy control acquisition circuit" (CN103580290B), the proposed micro-energy acquisition circuit only includes a rectification and filtering module, which realizes the conversion of AC voltage to DC voltage, and the output is close to smooth DC voltage, but there are still voltage fluctuations. Or small fluctuations in current will cause changes in output voltage, and most electrical equipment (for example: intelligent sensing nodes) only work under stable DC voltage

Relying on the peak detection and comparison of the output voltage of the piezoelectric sheet, the closing timing of the switch is automatically controlled, and the energy harvesting efficiency is significantly improved. However, the output voltage of the circuit fluctuates. When the input voltage or current fluctuates slightly, the output voltage will change. , unable to achieve the purpose of powering the intelligent perception node

Images