Method for planning doffing path, electronic device and storage medium

An electronic device, comprising:

• at least one processor;
• and
• a memory connected in communication with the at least one processor;
• wherein the memory stores an instruction executable by the at least one processor, and the instruction, when executed by the at least one processor, enables the at least one processor to execute:
• constructing a road network topology structure according to positions of a plurality of winders to be doffed, wherein the road network topology structure comprises a plurality of winder nodes, and one winder node corresponds to one winder;
• determining a plurality of neurons in a dual source pulse coupled neural network according to the plurality of winder nodes in the road network topology structure, wherein one winder node corresponds to one neuron;
• selecting a source neuron and a target neuron from the plurality of neurons in the dual source pulse coupled neural network;
• performing ignition calculation according to the source neuron and the target neuron to obtain a first path corresponding to the source neuron and a second path corresponding to the target neuron;
• and
• determining a doffing path of a winder node in the road network topology structure according to the first path and the second path;
• wherein the determining a plurality of neurons in a dual source pulse coupled neural network according to the plurality of winder nodes in the road network topology structure, comprises:
• constructing a connection structure among the plurality of neurons according to a positional relationship of the plurality of winder nodes to obtain connection channels;
• obtaining values of the connection channels in the connection structure according to path lengths among the plurality of winder nodes;
• and setting states of all neurons in the dual source pulse coupled neural network to a ready-to-ignite state, and setting an initial internal activity value increment, an initial internal activity threshold and an initial internal activity value of each neuron;
• and
• wherein the performing ignition calculation according to the source neuron and the target neuron to obtain a first path corresponding to the source neuron and a second path corresponding to the target neuron, comprises:
• for a neuron to be ignited that receives a pulse signal, calculating an internal activity value of the neuron to be ignited at a current moment based on the pulse signal and its own internal activity value and internal activity value increment at a previous moment, and determining a state of the neuron to be ignited according to the internal activity value at the current moment and an internal activity threshold;
• after determining that the state of the neuron to be ignited is ignition according to the internal activity value at the current moment and the internal activity threshold, generating a pulse signal of the neuron to be ignited, and updating the internal activity threshold of the neuron to be ignited according to the pulse signal of the neuron to be ignited, the pulse signal received by the neuron to be ignited and the internal activity value;
• and backtracking from a meeting neuron to the source neuron to obtain the first path, and to the target neuron to obtain the second path;
• wherein the meeting neuron is a neuron that receives a source pulse signal and a target pulse signal, the source pulse signal is a pulse signal transmitted by the source neuron, and the target pulse signal is a pulse signal transmitted by the target neuron.

A non-transitory computer-readable storage medium storing a computer instruction thereon, wherein the computer instruction is used to cause a computer to execute:

• constructing a road network topology structure according to positions of a plurality of winders to be doffed, wherein the road network topology structure comprises a plurality of winder nodes, and one winder node corresponds to one winder;
• determining a plurality of neurons in a dual source pulse coupled neural network according to the plurality of winder nodes in the road network topology structure, wherein one winder node corresponds to one neuron;
• selecting a source neuron and a target neuron from the plurality of neurons in the dual source pulse coupled neural network;
• performing ignition calculation according to the source neuron and the target neuron to obtain a first path corresponding to the source neuron and a second path corresponding to the target neuron;
• and
• determining a doffing path of a winder node in the road network topology structure according to the first path and the second path;
• wherein the determining a plurality of neurons in a dual source pulse coupled neural network according to the plurality of winder nodes in the road network topology structure, comprises:
• constructing a connection structure among the plurality of neurons according to a positional relationship of the plurality of winder nodes to obtain connection channels;
• obtaining values of the connection channels in the connection structure according to path lengths among the plurality of winder nodes;
• and setting states of all neurons in the dual source pulse coupled neural network to a ready-to-ignite state, and setting an initial internal activity value increment, an initial internal activity threshold and an initial internal activity value of each neuron;
• and
• wherein the performing ignition calculation according to the source neuron and the target neuron to obtain a first path corresponding to the source neuron and a second path corresponding to the target neuron, comprises:
• for a neuron to be ignited that receives a pulse signal, calculating an internal activity value of the neuron to be ignited at a current moment based on the pulse signal and its own internal activity value and internal activity value increment at a previous moment, and determining a state of the neuron to be ignited according to the internal activity value at the current moment and an internal activity threshold;
• after determining that the state of the neuron to be ignited is ignition according to the internal activity value at the current moment and the internal activity threshold, generating a pulse signal of the neuron to be ignited, and updating the internal activity threshold of the neuron to be ignited according to the pulse signal of the neuron to be ignited, the pulse signal received by the neuron to be ignited and the internal activity value;
• and backtracking from a meeting neuron to the source neuron to obtain the first path, and to the target neuron to obtain the second path;
• wherein the meeting neuron is a neuron that receives a source pulse signal and a target pulse signal, the source pulse signal is a pulse signal transmitted by the source neuron, and the target pulse signal is a pulse signal transmitted by the target neuron.