WO2011076081A1

WO2011076081A1 - Logical network automatic operation control system, automation control system and application method

Info

Publication number: WO2011076081A1
Application number: PCT/CN2010/079894
Authority: WO
Inventors: 林定伟
Original assignee: Lin Dingwei
Priority date: 2009-12-23
Filing date: 2010-12-16
Publication date: 2011-06-30

Abstract

A logical network automatic operation control system comprises network nodes and an arc, wherein, the network nodes constitute a logical network topology structure chart and are defined into a logical main body; and the arc is defined into thing association; the structure chart defines a start point and an end point; a signal is transmitted from the start point, and whether the end point acquires the signal is observed, thus whether a logical relation exists between the start point and the end point is judged. An automation control system utilizing the logical network automatic operation control system and an application method thereof are also disclosed.

Description

Logic network automatic operation control system, automatic control system and application method

Technical field

The invention belongs to the field of automatic control, and in particular relates to a logic network automatic operation control system, an automatic control system and an application method.

Background technique

For the core intelligent technology in the field of automatic control, there is no smart product that can replace human thinking and solve problems. For different applications, it is necessary to rely on human intelligence to establish their own intelligent programs. Not only does this have to be costly (manufacturing and learning), but the level of intelligence of the programs they build is still limited. Especially for the effective combination of various large systems, the prior art encounters many difficulties.

Summary of the invention

In view of the shortcomings of the prior art, the object of the present invention is to provide a logic network automatic operation control system, an automatic control system and an application method with accurate control precision and wide application.

To achieve the above objective, the technical solution of the present invention is: a logical network automatic operation control system, which includes a network node defined as a logical body and an arc defined as a relationship of things, which constitute a logical network topology diagram;
The structure diagram defines a starting point and an ending point, and a signal is input from the starting point to observe whether the end point obtains a signal; thereby determining whether there is a logical relationship between the starting point and the ending point.

The utility model also includes an input and output device, wherein the input device inputs a signal to the starting point of the structure diagram, and the signal is transmitted along the transmission direction of the structure diagram. When a signal passing through an arc or a certain arc arrives and triggers a node, the node outputs to the output device. Record the information corresponding to the arc number; at the same time, the signal is transmitted to the next node according to the logical network topology diagram along the energy transmission direction until the end point of the observation signal is obtained; the information recorded by each output device is traced through a signal receiving device to obtain the starting point. a signal transmission path between the end point and the end point, wherein the priority or difficulty level of the connection of the things is defined by assigning weights to the transmission time parameters of the arc;
The output device includes a pulse counting trigger and a node register. The pulse counting trigger is connected to each node, and is used for adjusting the transmission time of each arc signal, and the trigger output terminal is connected to the corresponding node register for storing the encoding of the arc.

The utility model also includes an input and output device, wherein the input device inputs a signal to the starting point of the structure diagram, and the signal is transmitted along the transmission direction of the structure diagram. When a signal passing through an arc or a certain arc arrives and triggers a node, the node outputs to the output device. Record the information corresponding to the arc number; at the same time, the signal is transmitted to the next node according to the logical network topology diagram along the energy transmission direction until the end point of the observation signal is obtained; the information recorded by each output device is traced through a signal receiving device to obtain the starting point. a signal transmission path between the end point and the end point, wherein the priority or difficulty level of the connection of the things is defined by assigning weights to the transmission time parameters of the arc;
The output device includes a controllable electrical component connected to the arc, a unidirectional voltage triggering unit connected to the node, and a node register connected to the unidirectional voltage triggering unit, and each controllable electrical component is connected to the power source through the switching component;
Input signal from the starting point, the signal passes through the controllable electrical component on the arc, reaches the unidirectional voltage triggering unit of the node, reaches the threshold after the accumulation of the charge, and the unidirectional voltage triggering unit triggers; respectively outputs the signal to the node register to record the arc number At the same time continue to output signals to the connected arc.

An identifier module is further configured to identify a signal transmission path whose weight belongs to a predetermined range, select a path set within a predetermined range, and select a path subset in the previous path set within a target range of another weight, The filtering is repeated as such until the last subset of paths is generated and the identified subset of paths is sent to the signal receiving device.

A weighting module is also included for superimposing transmission time parameters of various signal transmission paths and forming a transmission path for optimal transaction.

It also includes an experience module for storing signal transmission paths in which various logical subjects are associated with things.

The invention also provides an automatic control system for automatically running a control system by using a logic network, comprising an input unit, a logic network automatic operation control system and an execution unit, the input unit is used for collecting current status information, and the input unit is automatically operated and controlled to the logic network. The system issues an instruction, through the search of the instruction, obtains the corresponding logical body network node, sets the topology connection of the node according to the preset logical relationship, and determines the amount of the arc by setting or calculating, and the logical network automatically runs the control system selection. The path is sent out, and the path information is fed back to the execution unit, and the relevant execution unit is instructed to complete the action.

The invention also provides an application method of the automatic control system, which establishes the logical network automatic operation control system in the intelligent machine, and finds a solution to the problem encountered, after establishing the logical network topology structure diagram, through the input unit to the logic The network automatic operation control system issues an instruction, searches for the corresponding logical body network node through the instruction, and finds the logical main network node already in the actual situation as the center. The actual situation is known by various sensors, and the system finds the node according to the needs and the status quo. The connection between the current logical body network node and the logical body network node searched by the instruction is made between two points or according to the corresponding logical body network node, and the causal relationship is selected layer by layer until the corresponding logical end point is obtained.

In the control system, the intersection of the roads in the traffic network is the network node, and one road interval between two adjacent intersections is an arc; according to the actual traffic network, a logical network topology map is established, and the mileage of the arc, the appropriate speed of the interval, Can drive direction and number these arcs and nodes;
Initial setting: the location of the vehicle is marked on the relative position of the structure diagram, and the monitoring system obtains the location of the vehicle;
Position tracking: position tracking can be provided by the GPS receiving system; the odometer provides mileage or driven wheel detection mileage, corresponding to the mileage of the electronic network map, obtaining the instantaneous location of the vehicle, and achieving the purpose of vehicle position tracking;
Intelligent routing: After obtaining the destination point, the automatic operation control system of the logic network of claim 1 is used to find the most suitable path on the network diagram in the control system;
According to the appropriate speed of the interval and the rated running speed of the vehicle, the smaller value and the interval mileage are taken, and the intersection time period and the suitable time period of the intersection of the vehicle are calculated. According to the above parameters, the execution unit can control each unit on the traffic network. Complete the function of automatic scheduling.

According to the information obtained by the detecting unit, the information is fed back to the control center, and the data is processed centrally by the logic automatic running system, and the control information is returned to control the execution unit.

According to the information obtained by the detecting unit, the logical automatic running system on each execution unit is fed back to the distributed processing, and the execution unit is directly controlled.

In the field of communication: the router obtains network connection, bandwidth, load, delay, packet loss rate or packet type information from each node as the amount of arcs and arcs in the structure diagram, where the arc refers to the channel between the communication ports. The quantity on the arc refers to the bandwidth, the load, the delay, the packet loss rate or the packet type information. The logical network automatic operation control system according to claim 2 or 3 obtains the optimal link for information transmission, and the data is transmitted in information. Different types of transmission messages are handled in the network with different optimal transmission strategies to ensure network service quality.

The above-mentioned information transmission optimal link is composed of one or more transmission protocols, and the transmitting unit processes the information into a data packet of a multi-protocol format according to a transmission protocol, and the innermost layer is a format packet used by the receiving unit, and performs inter-network communication through the gateway. Transmission, the original network frame data field is used as a new network frame, and the destination address of the new destination gateway is interpreted according to the transmission protocol used by the new network. After being transmitted, after reaching the terminal gateway, the message in the format used by the receiving unit is transmitted to the receiving unit.

In the medical field: minimally invasive surgery is a node that uses cutting or stitching points as a logical topology network. The main organs, the areas between tissues, or the pipes that are self-forming channels in the body are the arcs of the topological network, with the stroke and error tolerance. Or the degree of damage is the amount on the arc; the vascular dredge is the branch of the pipe network as the node, the pipe between the branches of the pipe network is the arc, and the stroke or the degree of damage is the amount on the arc;

On the basis of the above, the logic network automatic operation control system according to claim 1 is used, and the detection devices are combined with the ultrasonic wave, the X-ray, and the working part signal source, and the execution device such as the controllable working part can plan optimally. The path thus constitutes a minimally invasive surgical system or a vascular dredge system.

For the working components composed of various collection components, each component is used as a node of the logical network topology map, and adjacent nodes are connected by arcs to form a logical network lattice, and the components that define the front frame signal are used as the starting point, and the subsequent frame functions. The component is the end point, and the logic network automatic operation control system according to claim 1 can directly obtain the change track of the action component; if various weight variables are assigned to the arc, the components can exhibit a gradual process, and The overall change of the active component within a certain range, the intelligent system can also be used to identify whether it is a reflection of a moving object.

For the pressure transmission network, it detects different quantities according to different networks through the network detection instrument. For the transmission network, the gas transmission network or the infusion network, the transmission network voltmeter, ammeter, and electric meter detect the electrical parameter quantity of each transmission line, and lose The gas network detects the gas parameter quantity of each transmission line through a pressure gauge, a flow meter, a thermometer and a hygrometer. The infusion network detects the liquid parameter quantity of each transmission line through a pressure gauge, a flow meter and a thermometer, and automatically runs the control system with a logic network to select The conveying route controls the current limiting component, wherein the transmission network is a disconnecting switch, and the gas transmission and infusion network is a throttle valve to limit the conveying line, and the limit trigger value of the detecting instrument is set to interlock with the throttle valve or the supercharging device. To realize the intelligent pressure network transmission of quantitative and billing.

For the logistics transportation network, collect the parameters of the goods delivery cost or delivery time of each line, use the logical network to automatically run the control system, define the distribution starting point and the delivery end point, take the goods delivery cost or delivery period as the amount on the arc, and obtain the starting point and The shortest path is transmitted between the endpoints, resulting in the lowest or fastest distribution line for the total cost of the distribution line.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic block diagram of a logic network automatic operation control system according to the present invention;
Figure 2 is a schematic diagram showing the structure of a control system using a pulse triggering method;
Figure 3 is a schematic structural view of a pulse counting trigger;
Figure 4 is a schematic structural view of a control system using impedance adjustment;
Figure 5 is a schematic structural diagram of one of traffic network applications;
Figure 6 is a schematic diagram of the structure of the second application of the traffic network.

detailed description

The present invention will be described in detail below with reference to the embodiments and the accompanying drawings.

As shown in FIG. 1 , the present invention discloses a logical network automatic operation control system, which includes a network node defined as a logical body constituting a logical network topology map and an arc defined as a relationship of things;
The structure diagram defines a starting point and an ending point, and a signal is input from the starting point to observe whether the end point obtains a signal; thereby determining whether there is a logical relationship between the starting point and the ending point.

The utility model also includes an input and output device, wherein the input device inputs a signal to the starting point of the structure diagram, and the signal is transmitted along the structure diagram in a transmission direction. When a signal passing through an arc or a certain arc arrives and triggers a node, the node is output to the output device. The output record corresponds to the information of the arc number; at the same time, the signal is transmitted to the next node according to the logical network topology structure along the energy transmission direction until the end point of the observation signal is obtained; and the information recorded by each output device is traced through a signal receiving device to obtain The signal transmission path between the start point and the end point.

As shown in FIG. 2 and FIG. 3, the output device includes a pulse counting trigger and a node register. The pulse counting trigger is connected to each node, and is used for adjusting the transmission time of each arc signal, and the trigger output terminal is connected to the corresponding node register. , used to store the encoding of the arc.

As shown in FIG. 4, the output device includes a controllable electrical component connected to the arc, a unidirectional voltage triggering unit connected to the node, and a node register connected to the unidirectional voltage triggering unit, each of the controllable electrical components passing through the switching component Connected to a power source;
Input signal from the starting point, the signal passes through the controllable electrical component on the arc, reaches the unidirectional voltage triggering unit of the node, reaches the threshold after the accumulation of the charge, and the unidirectional voltage triggering unit triggers; respectively outputs the signal to the node register to record the arc number At the same time continue to output signals to the connected arc.

By assigning values to the transmission time parameters of the arc, define the priority or difficulty of achieving the connection of things.

The invention also provides an automatic control system for automatically operating a control system by using a logic network, comprising an input unit, a logical network automatic operation control system and an execution unit, the input unit is configured to collect current status information and transmit the status information to the logical network. The control system is automatically operated, and the logical network automatically runs the control system to select a path and feed back the path information to the execution unit.

The invention adopts a logical subject such as a thing, a thing, an action as a network node, and a logical causal and emotional connection of the thing is an arc (edge), and the logical network topology model formed can well realize the simulation of the logical thinking and the actual state of the human brain; Simulate and analyze the occurrence, development, and results of the situation within the scope of the model to generate solutions to the problem. And the amount of the arc (edge) according to the actual situation, can directly measure the merits or rationality of the logical connection, so that the artificial intelligence system can evaluate and select the automatically generated solution. The selection of the backup path enables a multi-angle comprehensive analysis; and the main factors are analyzed based on actual results, thus forming what we often call "experience." For the shortest path between multiple points, the work of each unit in the model can be coordinated; thus, it has practical significance for network operation decision. Furthermore, we can also open the evaluation rights to the model on these basis, and realize the analogy assignment and verification. Then the logical network topology model has the ability of “self-development”. In this way, this model has the characteristics of human intelligence, can achieve the preservation and reproduction of ideas, and the thinking is more comprehensive, not forgotten. Since then, people with this model have been able to break through the limits of existing intelligence levels and embark on the fast track of development. And the system consisting of various detection units and execution units (including executive programs) truly meets the requirements of intelligence and becomes an automatically controllable system.

The artificial intelligence automatic control system can make the logical subject of things, objects, actions and so on as the nodes of the logical topology network, and the logic, emotion and other connections of things are arcs (edges), and thus the connected topologies (and, or, etc.) , state (star, ring, tree, grid, etc.), find out the causal link between the logical subject to be achieved and the logical subject of the actual condition, and then constitute the idea and method to solve the problem. If each arc (edge) is given a quantity according to the difficulty level or priority of the two-node contact, according to the logical network automatic operation control system, the artificial intelligence automatic control system can obtain some best within the known range. The solution. However, since there are many factors that actually act on things, it is necessary to choose other better solutions within an acceptable range of factors, such as the choice of backup paths, that is, solutions from different angles. After such repeated path selection, an optimal path is obtained as an optimal solution for each factor. The continuous accumulation of such solutions, such as data storage, statistics, etc., can identify decisive factors in known factors, so that the artificial intelligence automatic control system has a focus on solving problems. On this basis, the open evaluation of the control system can achieve the functions of “self-learning” or “self-development”. However, such development is likely to produce good or bad corrections to the initial assignment. Therefore, it is necessary to make reasonable veto (such as the three principles of robots) and secondary assignments in the decision-making institutions or implementing agencies. The system will work more reasonably.

Example of artificial intelligence automatic control system: For example, in the case of "drinking water", the user issues an instruction "the user wants to drink water" to the intelligent system through an instruction input tool such as voice recognition, a keyboard, and the like. Through the search of keywords, the corresponding logical nodes are obtained. We can set the topological connection of the node according to the logical relationship from the cause to the fruit, and determine the amount of the arc by setting or calculation. Such as direct drinking water supply system ---> drinking water (amount of 1), bottled water --- drinking water (quantity of 2), tap water supply system --- tap water (amount of 1), tap water --- >Boiling water (by calculation, the amount is 10), boiling water ---> drinking water (by calculation, the amount is 8), drinking water ---> a cup of drinking water (amount of 3), a cup of drinking water ---> drink Water (quantity is 1). According to the above logic network automatic operation control system, an effective logic idea can be automatically organized to solve the problem, and an optimal method is selected, and the relevant execution unit is commanded to complete the action according to the signal fed back by the input unit. In this intelligent system, reverse thinking can also be done; as long as the logical relationship is changed from fruit to cause, the control system is automatically run according to the above logical network, and the logical node of the "drinking water" is found to find the logical node that actually has the condition. path. In this way, an effective logic can also be automatically generated to solve the problem. In practice, the causal logical connection can be established, disconnected, or changed according to the situation, so that it is more suitable to obtain the existing conditions. In general, as long as enough logical connection segments are established, the artificial intelligence system has enough wisdom to solve the problem; and as long as there is enough amount between the arcs, the intelligent system can solve the problem finely.

In terms of software:
The current smart technology solves the problem with people's ideas, and the program is fixed, so the intelligent system is not really equipped with "intelligence", but only the curing and reproduction of the intelligence of the programmer. This not only requires programmers to have high intelligence and heavy labor, but also severely limits the adaptability of smart machines.

In order to make the intelligent machine have the intelligence it should have, it is necessary to establish a logical topology network model in the machine. Therefore, we can find solutions to the problems encountered and improve the adaptability of intelligent machines.

Work process: After establishing the logical topology network model as above, the corresponding logical node is searched by keywords. Taking this as a center to find the logical nodes already in the actual situation, the actual situation is known by various sensors. In this way, the system can find the connection between the logical nodes according to the needs and the status quo, and this connection is the solution to the problem.
1. Make the path between the current logical node and the logical node searched by the keyword.
2. According to the corresponding logical node as the starting point, the causal relationship is selected layer by layer until the corresponding logical end point is obtained.

In order to increase its applicability, logical operations can be added between the two nodes to establish a more reasonable logical connection network to more precisely define the logical results, such as drinking water - cup -> a cup of drinking water.

Such models and methods of use, such as those applied to existing software, can generate self-solving programs. This approach can be avoided especially for "infinite loops" caused by large programs.

In terms of land transportation networks, it is achieved through the following steps:

1. Establish a logical network diagram. In the control system, the intersection of the roads in the traffic network is the node of the logical network diagram. As shown in FIG. 5, one road section between two adjacent intersections is an arc (edge) of the electronic network diagram; according to the actual transportation network, Establish a topology map, define the mileage of the arc, the appropriate speed of the interval, the direction of travel, and number these arcs and nodes.

2. Initial settings. By indicating the location of the vehicle in the relative position of the electronic network map, the monitoring system obtains the location of the vehicle.

3. Location tracking. Trackless vehicles can be provided with position tracking by a GPS receiving system. Since the rail vehicle runs in the line mode, the mileage meter or the driven wheel can be used to detect the mileage, and the mileage of the electronic network map is obtained, and the instantaneous location of the train is obtained, thereby achieving the purpose of tracking the train position.

4. Intelligent selection of paths.

4.1 After obtaining the destination point, the control system is automatically run by the logic network, and the most suitable path is found on the electronic network diagram in the control system.

Principle: Since the vehicle is running in the interval more than the operation on the node, the starting and ending points are all in the interval. The vehicle control system replaces the mileage of the track section with time parameters. After obtaining the point (provided by the location tracking) and the destination point, the system first calculates the distance between the starting point and the next node and the distance between the ending point and the previous node according to the direction in which the traffic network is allowed to run. The time interval ratio of the interval is converted into the corresponding time parameter. At the beginning of the path finding, the controller releases the signal at the point where it is transmitted, and the signal propagates along the network. The signal transmission speed depends on the time parameter corresponding to the network segment. When the first signal arrives at the node, the interval trigger is triggered, and the register stack corresponding to the node stores the number of the interval. The nodes are connected by their topology, continue to transmit signals downwards, and then release the signals downwards corresponding to the time parameters in this interval. In this way, until the first signal reaches the end point, and the interval through which it passes, the most suitable path is obtained.

4.2 After obtaining the destination, use the Dijkstra algorithm to find the most suitable path.

Replace the actual traffic network with a network mathematical model, and replace the weights of the arcs (edges) by quantity. The most suitable path for all nodes is searched by the starting point, and the most suitable path from the start point to the end point is finally found.

5. Automatic command (navigation) subsystem. According to the appropriate speed of the interval and the rated running speed of the vehicle, the smaller value and the interval mileage can be used to calculate the time interval of the intersection of the vehicle and the suitable time period of the interval. On the basis of these data, the execution unit, here is the scheduling system, automatically runs the control system through the logical network to automatically select the most suitable path, that is, the shortest path or the most continuous path. According to the above parameters, the scheduling system can control various units on the transportation network, such as vehicles and traffic facilities, and complete the function of automatic scheduling. In the system, geographical location (region, latitude and longitude) or network (wired transmission network, GSM network, satellite communication network), etc. can also be used to schedule information between various networks to achieve different traffic on land, sea and air. Network scheduling control.

In the transportation network, there are also the same optimal operational strategy issues as the information network. For example, passenger network carriers, freight network carriers and garbage sorting carriers have different priorities. The order in which the passenger carriers are focused on is safety, timeliness, and economy. The order in which the freight carriers are focused is safety, economy, and timeliness. The order in which the garbage classification carriers are focused is safety and economy. Therefore, when selecting a path for a large-scale network, classifying and marking different types of carriers, and focusing on selecting paths, is undoubtedly a more appropriate solution to the problem.

6. Automatically run the subsystem. After receiving the dispatching system running command, the speed calculating unit in the operating system can calculate the running speed curve of the vehicle according to the speed limit requirements of each section, and submit it to the speed control unit, such as the frequency converter, the oil and gas gate control, the transmission, etc. Directional control units, such as gyroscopes, positioning systems, and altitude control units, such as altimeters, control the speed, direction, and altitude of the vehicle. In operation, the system can accurately control the running speed, direction and height of the vehicle through the speed detecting unit, the direction detecting unit, the height detecting unit and the distance detecting unit, such as a range finder, via the signals fed back by the bus. The existing automatic operation systems include: elevators and EMUs that are regulated by frequency modulation and voltage regulation; vehicles that control the speed of vehicles through throttles, valves and automatic transmissions.

7. Communication subsystem. Since there are many operating units in the traffic network, the information transmission generally enters the information transmission network from the sending unit via the network adapter, transmits through the channels of various data transmission protocols, or switches between the networks through the gateway, and then arrives and receives through the network adapter. Unit, complete the communication process.

In general long-range mobile unit control, there must be a wireless transmission channel to form a valid information link. But now the wireless network and the wired "Internet" are basically separated. The Internet, such as mobile phones and Internet TVs, can only be translated through a designated gateway, so the Internet with multiple networks has more room for development. However, in the context of multi-network convergence, the translation transmission method is awkward and the confidentiality is not good.

The wireless local area network is used as a transmission tunnel. Assume that the core message is not interpreted by the inter-network transmission protocol, but only the destination address and the source address are interpreted, and the link is composed of multiple transmission protocols. The transmitting unit processes the information into packets of multiple frame headers according to the transmission protocol, and the innermost layer is a fieldbus message. The wireless gateway enters the wireless local area network, and the original network frame data is used as a new network frame, and the destination address of the new destination gateway is interpreted according to the transmission protocol used by the new network. After transmission, and then arrive at the corresponding wireless gateway, the data packet that is restored to the same transmission protocol as the transmitting unit is transmitted to the receiving unit via the bus transmission, and then verified and operated.

But the above only makes a choice for one situation. The changing road conditions, such as the traffic speed of the trackless traffic network, are dynamic networks. In this way, the system needs to constantly update the data in order to track the dynamic network. There are two modes: positioning system monitoring and direct monitoring of road conditions.

1. The central control method monitored by the positioning system. As shown in FIG. 5, after the vehicle obtains the location according to the positioning system, the vehicle feeds back to the control center through the data link. Through the data feedback from the vehicle, the control center can obtain information on the position, running speed, time consumption, destination and other road conditions of each road segment. The traffic condition data is processed by the central control system of the dispatching system. For example, if the traffic time of the vehicles on a certain road is time-consuming, the system can adjust the corresponding amount on the corresponding arc to enable each vehicle to obtain a new optimal route and return the grooming information to avoid traffic. Blocked.

2. Decentralized control through road condition monitoring. As shown in FIG. 6, the data detecting device of the vehicle is set up at each entrance or exit of the road section, and the data such as the number of vehicles, the running speed, and the time-consuming data are transmitted to the data center via the data link. The data center transmits the road condition information to the navigation or dispatching system of each vehicle, and is processed by the navigation or dispatching system. If the number of passing vehicles on a certain road will be saturated, the system can increase the corresponding amount on the corresponding arc, so that the system will increase the corresponding amount on the corresponding arc. Vehicles on this section get a new optimal route to divert the vehicle and avoid traffic jams.

For a transportation (logistics) company, as long as the route on the logical network of the dispatch system, that is, the amount of a non-transported transportation or distribution process is defined as the corresponding delivery fee or delivery time or time, the path finding method between the two points is The route between points can be used to obtain the delivery route with the least cost and the total cost or the fastest delivery route and total time. In this way, the transportation company can meet the different needs of customers; combined with the company's basic distribution costs, the profit and loss threshold can be counted.

On this basis, as long as the automatic identification system, including feedback on weight measurement, volume and currency payment information, can form a public transport (linkage) automatic ticketing system and (linkage) logistics automatic pricing system, providing fully automatic Logistics solutions.

In the field of communications:
The router obtains information such as network connection, bandwidth, load, delay, packet loss rate, and packet type from each node, such as routing maps, hash tables, and other information obtained by describing the network status, as an electronic topology. The edge in the network, that is, the channel and the amount between the communication ports, including the transmission delay and the packet loss rate, can automatically run the control system through the logical network, and the information transmission is optimal, that is, the transmission process is the fastest. The link with the lowest packet loss rate can respond to different types of transmission packets with different optimal transmission strategies in the information transmission network to ensure network QoS. For example, the sampling data and control commands of the self-controlled network system need to be balanced in transmission speed and reliability to achieve the best control accuracy. Multimedia packets are more time-sensitive, while text packets are more reliable.

The above network operation system can be configured and controlled by central control mode, decentralized control mode or hybrid control mode.

The above describes the scheduling of the power operation network and the information transmission network. The pressure transmission network detects different quantities according to different networks through network detection instruments. Here, the transmission network detection instruments are voltmeter, ammeter, electric meter, and gas network detection instrument. For pressure gauges, flow meters, thermometers, hygrometers, infusion network testing instruments are pressure gauges, flow meters, thermometers, fed back to the control system via the data bus, automatically run the control system with a logic network, select the route to be transported, and control the current limiting components The transmission network is a disconnect switch, and the gas transmission and infusion network is a throttle valve to limit the transmission line. On this basis, as in the controller setting the limit trigger value of the detection instrument and the linkage of the throttle valve or the boosting device, the intelligent pressure network transmission of the quantitative and billing can be realized. Obviously, this system can also be used to achieve intelligent power supply for electrified track or pipeline traffic supply networks.

Taking the power network as an example, as with the traffic grooming system, when the local power of the power network reaches the load limit of the transmission line, it is necessary to integrate more transmission lines or reduce the load. The line between the active devices on the power transmission network such as the distribution transformer and the open circuit switch is the side of the electronic topological network and the transmission power on the line. According to the logical network automatic operation control system, the power dispatch on the network can be realized. If the active device also includes a power generation system and establishes a linkage mechanism between the line network load and the power generation system, power supply on demand can be realized.

In the medical field, there are also many applications, such as minimally invasive surgery, vascular embolization and so on.
1) Minimally invasive surgery is a node with a logical topology network of cutting or suturing points. The main organs, the areas between tissues, or the channels that are self-forming channels in the body are the arcs (edges) of the topological network, with the stroke and error allowed. The range, the degree of damage, etc. are the quantities on the arc (edge).
2) The vascular dredge is a branch of the pipe network, and the pipe between the branches of the pipe network is an arc (edge), and the stroke or the degree of damage is the amount on the arc (edge).

On the basis of the above, using the logical network to automatically run the control system, the optimal path can be planned. Such as the combination of ultrasound, X-ray, the working part signal source positioning detection device, and the control device such as the control device, constitute a minimally invasive surgery system or vascular dredge system.

This logical network also has a good application for working components composed of a unit component such as a pixel constituting an image, a Hall element, and a MIC.

For the working components composed of various collection components, each component is used as a node of the logical network topology map, and adjacent nodes are connected by arcs to form a logical network lattice, and the components that define the front frame signal are used as the starting point, and the subsequent frame functions. The component is the end point, and the logic network automatic operation control system according to claim 1 can directly obtain the change track of the action component; if various weight variables are assigned to the arc, the components can exhibit a gradual process, and The overall change of the active component within a certain range, the intelligent system can also be used to identify whether it is a reflection of a moving object. In space technology, more than one sensor or generator is used in combination to distinguish or synthesize the distance, direction, spatial position and speed of the signal source according to the exchange of time parameters and distance parameters between the received or transmitted signals between the devices. , running track and other effects.

Taking graphic display and processing as an example: each pixel can be used as a node of a logical network, and adjacent nodes are connected by edges to form a logical network dot matrix. The pixels of the previous frame are defined as the starting point, and the pixels of the subsequent frame are the end points. The path between the points and the path finding method between multiple points can directly obtain the change track of the pixel. If you assign a color scale variable on the edge, the process of gradation can appear between pixels. While the overall movement of the pixels within a certain range, the intelligent system can also be used to identify whether it is an image of a moving object. In the aspect of 3D image processing, such as shading adjustment, it is more necessary to simulate the causal reflection of the situation by the intelligent system.

This logical network system can also simulate various real-world situations, such as pharmacology, physics, chemistry, etc., to arrive at results and generate cross-domain solutions to problems.

Claims

A logic network automatic operation control system, comprising: a network node defined as a logical body constituting a logical network topology map; and an arc defined as a relationship of things;

The structure diagram defines a starting point and an ending point, and a signal is input from the starting point to observe whether the end point obtains a signal; thereby determining whether there is a logical relationship between the starting point and the ending point.
The logic network automatic operation control system according to claim 1, further comprising an input and output device, wherein the input device inputs a signal to the starting point of the structure diagram, and the signal is transmitted along the structure diagram in a transmission direction, when passing an arc or a certain When the signals of the arcs reach and trigger a certain node, the node outputs the information of the corresponding arc number to the output device; at the same time, the signal is transmitted to the next node according to the logical network topology map along the energy transmission direction until the observation end point is obtained. a signal; a signal receiving device traces the information recorded by each of the output devices to obtain a signal transmission path between the start point and the end point, wherein the weighting value of the transmission time parameter of the arc is used to define a priority or difficulty in realizing the connection of the thing. degree;

The output device includes a pulse counting trigger and a node register. The pulse counting trigger is connected to each node, and is used for adjusting the transmission time of each arc signal, and the trigger output terminal is connected to the corresponding node register for storing the encoding of the arc.
The logic network automatic operation control system according to claim 1, further comprising an input and output device, wherein the input device inputs a signal to the starting point of the structure diagram, and the signal is transmitted along the structure diagram in a transmission direction, when passing an arc or a certain When the signals of the arcs reach and trigger a certain node, the node outputs the information of the corresponding arc number to the output device; at the same time, the signal is transmitted to the next node according to the logical network topology map along the energy transmission direction until the observation end point is obtained. Signal; the signal recorded by each of the output devices is traced by a signal receiving device to obtain a signal transmission path between the start point and the end point, wherein the priority or difficulty level of the connection of the things is defined by weighting the transmission time parameter of the arc. ;

The output device includes a controllable electrical component connected to the arc, a unidirectional voltage triggering unit connected to the node, and a node register connected to the unidirectional voltage triggering unit, and each controllable electrical component is connected to the power source through the switching component;

Input signal from the starting point, the signal passes through the controllable electrical component on the arc, reaches the unidirectional voltage triggering unit of the node, reaches the threshold after the accumulation of the charge, and the unidirectional voltage triggering unit triggers; respectively outputs the signal to the node register to record the arc number At the same time continue to output signals to the connected arc.
The logical network automatic operation control system according to claim 1, further comprising an identification module for identifying a signal transmission path whose weight belongs to a predetermined range, selecting a path set within a predetermined range, and further Select a subset of paths in the previous path set within the target range of a weight, The filtering is repeated as such until the last subset of paths is generated and the identified subset of paths is sent to the signal receiving device.
The logical network automatic operation control system according to claim 1, further comprising a weighting module for superimposing transmission time parameters of the various signal transmission paths and forming a transmission path for optimal transaction.
The logical network automatic operation control system according to claim 1, further comprising an experience module for storing a signal transmission path in which various logical subjects are associated with the transaction.
An automated control system according to any one of claims 2 to 6, comprising an input unit, a logical network automatic operation control system and an execution unit, the input unit is configured to collect current status information, and the input unit automatically runs the control system to the logical network. The instruction is issued, and the corresponding logical body network node is obtained through the search of the instruction, the topology connection of the node is set according to the preset logical relationship, and the amount of the arc is determined by setting or calculating, and the logical network automatically runs the control system to select The path, and feedback the path information to the execution unit, directing the relevant execution unit to complete the action.
The application method of the automatic control system according to claim 7, wherein the logical network automatic operation control system is established in the intelligent machine, and the solution to the problem encountered is solved after the logical network topology structure is established. The input unit sends an instruction to the logical network automatic operation control system, and searches for the corresponding logical main body network node through the instruction, so as to find the logical main network node already in the actual situation as the center, the actual situation is known by various sensors, and the system is based on It is necessary to find the connection between the nodes and the status quo, and to find the path between the current logical main network node and the logical main network node that the instruction searches, or to select the layer by causality according to the corresponding logical main network node. The corresponding logical end point.
The application method of the automatic control system according to claim 8, wherein in the control system, the intersection of the roads in the traffic network is a network node, and a road section between two adjacent intersections is an arc; according to the actual transportation network , establish a logical network topology map, define the mileage of the arc, the appropriate speed of the interval, the direction of travel, and number these arcs and nodes;

Initial setting: the location of the vehicle is marked on the relative position of the structure diagram, and the monitoring system obtains the location of the vehicle;

Position tracking: position tracking can be provided by the GPS receiving system; the odometer provides mileage or driven wheel detection mileage, corresponding to the mileage of the electronic network map, obtaining the instantaneous location of the vehicle, and achieving the purpose of vehicle position tracking;

Intelligent routing: After obtaining the destination point, the automatic operation control system of the logic network of claim 1 is used to find the most suitable path on the network diagram in the control system;

According to the appropriate speed of the interval and the rated running speed of the vehicle, the smaller value and the interval mileage are taken, and the traffic intersection time period and the appropriate time period of the traffic intersection are calculated. According to the above parameters, the execution unit can control each unit on the traffic network. , complete the function of automatic scheduling.
The application method of the automatic control system according to claim 7, characterized in that: according to the information obtained by the detecting unit, the information is fed back to the control center, and the data is processed centrally by the logical automatic running system, and the control information is returned to control the execution unit.
The application method of the automatic control system according to claim 7, characterized in that: according to the information obtained by the detecting unit, the logical automatic running system on each execution unit is fed back to the distributed processing, and the execution unit is directly controlled.
The application method of the automatic control system according to claim 8, wherein in the communication field, the router obtains network connection, bandwidth, load, delay, packet loss rate or packet type information from each node as a structure diagram. The arc and the amount on the arc, where the arc refers to the channel between the communication ports, and the amount on the arc refers to the bandwidth, load, delay, packet loss rate or packet type information, by the logical network described in claim 2 or 3. The automatic operation control system obtains the optimal link for information transmission, and the data responds to different types of transmission messages with different optimal transmission strategies in the information transmission network, thereby ensuring network service quality.
The application method of the automatic control system according to claim 8, wherein the information transmission optimal link is composed of one or more transmission protocols, and the transmitting unit processes the information into data in a multi-protocol format according to a transmission protocol. The innermost layer is the format message used by the receiving unit, and is transmitted across the network via the gateway. The original network frame data field is used as the new network frame, and the destination address of the new destination gateway is interpreted according to the transmission protocol used by the new network. After the terminal gateway, the message in the format used by the receiving unit is transmitted to the receiving unit.
The application method of the automatic control system according to claim 8, wherein in the medical field: the minimally invasive surgery is a node in which a cutting or stitching point is a logical topology network, a region between each major organ or tissue, or The pipeline in the body is the arc of the topology network, and the stroke, the error tolerance range or the damage degree is the amount on the arc; the blood vessel dredging is the branch of the pipe network as the node, and the pipe between the pipe network branches is the arc, with the stroke or The degree of damage is the amount on the arc;

On the basis of the above, the logic network automatic operation control system according to claim 1 is used, and the detection devices are combined with the ultrasonic wave, the X-ray, and the working part signal source, and the execution device such as the controllable working part can plan optimally. The path thus constitutes a minimally invasive surgical system or a vascular dredge system.
The application method of the automatic control system according to claim 8, characterized in that, for the working components composed of various collection elements, each component is used as a node of a logical network topology diagram, and adjacent nodes are connected by arcs. The logic network lattice, the component that defines the action of the front frame signal is the starting point, and the component that acts on the rear frame is the end point. The logic network automatic operation control system according to claim 1 can directly obtain the change track of the active component; if the arc is assigned For various weight variables, the gradual process can be presented between the components, and the overall change of the component within a certain range, the intelligent system can also be used to identify whether it is a reflection of the moving object.
The application method of the automatic control system according to claim 8, characterized in that, for the pressure transmission network, the network detection instrument detects different quantities according to different networks, and the transmission network voltage is applied to the transmission network, the gas transmission network or the infusion network. Meter, galvanometer, and electric meter detect the electrical parameter quantity of each transmission line. The gas transmission network detects the gas parameter quantity of each transmission line through a pressure meter, a flow meter, a thermometer, and a hygrometer. The infusion network passes the pressure meter, the flow meter, and the thermometer. Detecting the liquid parameter quantity of each transmission line, automatically running the control system with a logic network, selecting the route to be transported, and controlling the current limiting component, wherein the transmission network is a disconnecting switch, and the gas transmission and infusion network is a throttle valve to limit the transmission line, and The defined trigger value of the detection instrument is linked with the throttle valve or the boosting device to realize the intelligent pressure network transmission of quantitative and billing.
The application method of the automatic control system according to claim 8, characterized in that, for the logistics transportation network, the parameters of the goods delivery cost or the delivery period of each line are collected, and the control system is automatically operated by the logic network to define the distribution starting point and the delivery end point. The goods delivery cost or delivery time is the amount on the arc, and the shortest path of the signal transmission between the starting point and the end point is obtained, thereby obtaining the distribution line with the lowest or the fastest total cost of the distribution line.