TWI448907B - Intelligent operating distribution device - Google Patents

Description

Intelligent computing distribution device

The invention relates to a smart computing distribution device, in particular to intelligentizing a traditional robot so that a smart robot can have a sense of automation in the environment through the built wireless sensing environment and the cloud computing environment. A smart computing distribution device for measuring and self-judging capabilities.

In recent years, in view of the continuous growth of the proportion of the elderly population, some high-tech manufacturers have already identified the huge business opportunities of home robots with care functions. The industry estimates that the demand for home robots is expected to expand significantly and gradually surpass industrial robots to become the mainstream product in the market. Therefore, smart product design has become one of the key development industries in the world. Smart robot design is the development focus of smart products, integrating technologies such as motors, machinery, automatic control and information technology. The industry has invested a lot of research and development capacity and resources to develop the robots needed in various fields.

At present, industrial robots and service robots that can perform simple functions have generally seen related products, enabling robots to enter homes, public places, preservation, disaster prevention, care and various service work, robot products and the public and community industries. The relationship is bound to become closer and closer. How to improve the wisdom and interaction is a very important issue. The intelligent robot has become the focus of future development of the domestic and foreign academics.

However, the traditional embedded robot needs to burn the written algorithm into the wafer in advance, and then embed it into the body of the robot, which uses the various sensors loaded to detect and react, but the traditional robot encounters When you go to an event or behavior, you can only perform a single professional and repeat task. Therefore, traditional robots are less able to consider special conditions, and need to continuously burn data and modify algorithms, which is less flexible.

In view of the above-mentioned problems of the prior art, the object of the present invention is to provide a smart computing distribution device for solving the problem that a conventional robot needs to continuously burn a written algorithm into a wafer in advance, and can only perform a single professional and repeat The task of the task.

In accordance with the purpose of the present invention, a smart computing distribution device is provided that includes a first transmission unit, a processing unit, and a second transmission unit. The first transmission unit receives a motion sensing signal generated by a mobile device after sensing the surrounding environment. The processing unit is electrically connected to the receiving unit to analyze the motion sensing signal and generate a sensing analysis data. The second transmission unit is electrically connected to the processing unit, and the processing unit refers to the data in the generated sensing analysis data to selectively transmit the sensing analysis data to the plurality of second sensing units according to an operation allocation mechanism. One of the computing devices. The operation device for receiving the sensing and analyzing data performs the route planning operation according to a specific computing technology to generate one of the path information data corresponding to the sensing and analyzing data, and transmits the path information to the second transmission unit, and The first transmission unit transmits the route route data to the mobile device, so that the mobile device moves according to the route information.

Preferably, the sensing analysis data can be simultaneously transmitted to all the computing devices via the second transmission unit for calculation, and the operation path data generated by each computing device is respectively transmitted back to the second transmission unit to pass through the processing unit. The integration of all the route data to generate an integrated route route data, and the integrated route route data is transmitted to the mobile device by the first transmission unit, so that the mobile device moves according to the integrated route route data.

Preferably, the first transmission unit can receive an environmental sensing signal generated by the environment sensing device after sensing the surrounding environment, and the processing unit analyzes the environmental sensing signal to generate an environmental sensing analysis. Data, and transmitting the environmental sensing analysis data to the at least one computing device via the second transmission unit to perform an operation, so that the computing device receiving the environment sensing and analyzing data performs a route planning operation according to a specific computing technology to generate a corresponding environment sensing Analyze data route information or integrate route information.

Preferably, the first transmission unit can simultaneously receive the motion sensing signal and the environment sensing signal, and the processing unit analyzes the motion sensing analysis data and the environment sensing analysis data analyzed by the motion sensing signal and the environmental sensing signal. Integrating to generate an integrated sensing analysis data and transmitting to the at least one computing device via the second transmission unit for performing an operation, so that the computing device receiving the integrated sensing and analyzing data performs a route planning operation according to a specific computing technology to generate a corresponding Integrate the route of the sensory analysis data or integrate the route information.

Preferably, the environment sensing device can be a wireless sensing network.

Preferably, the mobile sensing signal sensed by the mobile device is selectively transmitted to the first transmission unit through an electronic device.

Preferably, the first transmission unit can transmit through a wired network, Bluetooth, third generation mobile communication (3G), a low speed short distance transmission (Zigbee) or a wireless local area network (Wireless Fidelity, WiFi).

Preferably, the second transmission unit can transmit through a wired network, third generation mobile communication (3G), a low speed short distance transmission (Zigbee) or a wireless local area network (Wireless Fidelity, WiFi).

Preferably, the specific computing technique may comprise an ontology computing technique or a case inference computing technique.

Preferably, the mobile device may comprise an infrared sensor, a thermal sensor, an ultrasonic sensor or a camera.

In view of the above, the intelligent computing distribution device according to the present invention may have one or more of the following advantages:

(1) The present invention can store only the basic operational flow on the intelligent robot, does not record complex algorithms, and encounters different events to transfer the data to the intelligent operation distribution device for calculation to amplify the operational flexibility of the robot.

(2) This intelligent computing distribution device can achieve the effect of controlling and interoperating with a single interface by integrating different application software to solve the problem that the traditional robot cannot handle special conditions.

(3) The present invention can also perform state and context sensing through the sensor of the smart robot and the environment sensor, so that the sensed data can be immediately transmitted back to the intelligent operation distribution device and operated, and Integrate each computing data.

(4) The present invention can enable the intelligent robot to have automatic sensing and self-judging capabilities by using the built-in wireless sensing environment and the intelligent computing distribution device of the cloud computing environment, thereby solving only a single event and repeating The task, and there is no need to constantly burn the data and modify the algorithm.

The technical features, contents, and advantages of the present invention, as well as the advantages thereof, can be understood by the present inventors, and the present invention will be described in detail with reference to the accompanying drawings. The subject matter is only for the purpose of illustration and description. It is not intended to be a true proportion and precise configuration after the implementation of the present invention. Therefore, the scope and configuration relationship of the attached drawings should not be interpreted or limited. First described.

The embodiments of the smart computing device according to the present invention will be described with reference to the related drawings. For the sake of understanding, the same components in the following embodiments are denoted by the same reference numerals.

Please refer to FIG. 1 , which is a first block diagram of the smart computing distribution device of the present invention. In the block diagram, the smart computing distribution device 100 includes a first transmission unit 110, a processing unit 120, and a second transmission unit 130. The processing unit 120 is electrically connected to the first transmission unit 110, and the second transmission unit 130 is electrically connected to the processing unit 120. The first transmission unit 110 can perform at least one of a wired network, a Bluetooth, a third generation mobile communication (3G), a low-speed short-distance transmission (Zigbee), or a wireless local area network (Wireless Fidelity, WiFi). transmission. The processing unit 120 can be a central processing unit (CPU) or a microprocessor (Micro-Processing Unit). The second transmission unit 130 can transmit through at least one of a wired network, a third generation mobile communication (3G), a low speed short distance transmission (Zigbee), or a wireless local area network (Wireless Fidelity, WiFi). The above is only a preferred embodiment, but should not be limited thereto.

In the above, the first transmission unit 110 can receive a mobile sensing signal generated by the mobile device 300 after sensing the surrounding environment. Then, the processing unit 120 can analyze the motion sensing signal to generate a motion sensing analysis data. The processing unit 120 can refer to the data in the generated motion sensing analysis data, and according to an operation allocation mechanism, selectively transmit the motion sensing analysis data to the plurality of computing devices 200 via the second transmission unit 130. one. Then, when the computing device 200 receives the motion sensing analysis data, the route planning operation may be performed according to a specific computing technology to generate a route information corresponding to the motion sensing analysis data, and the route information is transmitted back to the route information. The second transmission unit 130 transmits the path information to the mobile device 300 through the first transmission unit 110, so that the mobile device 300 can move according to the route information.

In the above, the operation allocation mechanism is an Anycast. In this companion technology, the companion address can be allocated to multiple nodes (Nodes), but the packets sent to the companion address are only Passed to one of the nodes and is the nearest node (for example, ..X, Y, and Z). When the source end node sends the packet to the destination end node address, the packet will only be passed to one of the multiple nodes. The source uses the companion address to pass the packet, and the packet can be transmitted to a specific node without knowing the destination node and the network status. If the node X fails to operate, the packet originally transmitted to the node X is transferred to the node Y or the node Z. In this operation allocation mechanism, the companion technology will be used to find the optimal server.

In the above, when the processing unit 120 analyzes the motion sensing signal to generate a motion sensing analysis data, it can be simultaneously transmitted to all the computing devices 200 via the second transmission unit 130 for calculation, and each operation can be performed. Each of the path data generated by the device 200 is returned to the second transmission unit 130. Then, all the routing information is integrated through the processing unit 120 to generate an integrated routing data, and the integrated routing information is transmitted to the mobile device 300 by the first transmission unit 110, so that the mobile device 300 can be integrated. The route data is moved, but not limited.

Further, the first transmission unit 110 of the smart computing device 100 can receive an environment sensing signal generated by the environment sensing device 400 after sensing the surrounding environment, and then the processing unit 120 senses the environment. The test signal is analyzed to generate an environment sensing analysis data, and the environment sensing analysis data can be transmitted to the at least one computing device 200 via the second transmission unit 130 to perform an operation, and the computing device that receives the environment sensing analysis data 200 may perform route planning operations according to a specific computing technology to generate route information data or integrate route route data corresponding to environmental sensing analysis data, but is not limited thereto.

Further, the first transmission unit 110 can simultaneously receive the motion sensing signal and the environment sensing signal, and the mobile sensing analysis data and the environment sensing analyzed by the motion sensing signal and the environmental sensing signal via the processing unit 120 The analysis data is integrated to generate an integrated sensing analysis data, and the integrated sensing analysis data is transmitted to the at least one computing device 200 via the second transmission unit 130 to perform an operation, so that the computing device that receives the integrated sensing and analyzing data is received 200 may perform route planning operations according to a specific computing technology to generate route information or integrated route information corresponding to the integrated sensing and analyzing data, but should not be used as a limit.

It is worth mentioning that a specific computing technology can include an ontological computing technique or a case-based inference computing technique. The mobile device 300 can include an infrared sensor, a thermal sensor, an ultrasonic sensor or a camera, and the like. The environment sensing device 400 can be a wireless sensing network. The sensing function of the mobile device 300 is used to provide the mobile device 300 for temperature, pressure, humidity, touch sensing or environmental sensing, etc., and can transmit the mobile sensing signal to the smart computing distribution in the form of a network packet. The first transmission unit 110 of the device 100. The first transmission unit 110 can transmit at least one of a wired network, a Bluetooth, a third generation mobile communication (3G), a low-speed short-distance transmission (Zigbee), or a wireless local area network (Wireless Fidelity, WiFi). Transfer. The above are only preferred embodiments and should not be construed as limiting.

Please refer to FIG. 2, which is a second block diagram of the smart computing distribution device of the present invention. In the figure, the relationship between the components and the components is described in detail in FIG. 1 and will not be further described herein. The smart computing distribution device 100 of the present invention can be further connected to an electronic device 500. When the mobile device 300 senses in a surrounding environment to generate a motion sensing signal, the motion sensing signal can be selectively transmitted to the first transmission unit 110 of the intelligent computing distribution device 100 through an electronic device 500. The user can also perform motion monitoring on the mobile device 300 through the electronic device 500, or issue a command or the like to control the activity and behavior status of the mobile device 300. The electronic device 500 can include a mobile phone, a tablet computer, a notebook computer, or a number of assistants. And the operating system used by the electronic device 500 can include an Android system platform. The above are merely exemplary embodiments, but are not to be construed as limiting.

The mobile device 300 in the following embodiments is an example of a smart robot, and the environment sensing device 400 is an example of a wireless sensing network. This is only a preferred embodiment, and The mobile device 300 should be limited to the smart robot, and the environment sensing device 400 should not be limited to the wireless sensing network. The above is only a preferred embodiment.

Please refer to FIG. 3, which is a schematic diagram of an embodiment of a smart computing distribution device of the present invention. In this embodiment, when the smart robot provided with the sensor or the camera performs environmental sensing in the surrounding environment or senses the environment through the wireless sensing network, the sense of movement generated after the sensing can be sensed. The test signal or environmental sensing signal is transmitted to the intelligent operation distribution device 100 through the network packet. Next, the intelligent operation distribution device 100 refers to the generated motion sensing analysis data, the environment sensing analysis data or the integrated data thereof, and according to an operation allocation mechanism, the mobile sensing analysis data and the environment sensing The analysis data or the integrated sensing analysis data is transmitted to one of the plurality of computing devices 200, or simultaneously transmitted to the plurality of computing devices 200, and the route planning operation is performed according to a specific computing technology to generate corresponding route information to The route information is transmitted back to the smart robot, so that the smart robot can move according to the route information.

In the above, the intelligent computing distribution device 100 designed and designed by the present invention mainly enables the intelligent robot to automatically sense and self-intelligence in the environment through the built wireless sensing environment and the cloud computing environment. Judging ability, combined with Ontology and Case Inference Mechanism (CBR) to calculate and provide users with the information they need, People, Intelligent Robot, Cloud, Server (Server) and the Sensor Network (Sensor Network) for a five-party interactive situation.

It is worth mentioning that the traditional intelligent robot can only operate through the user's operation or set up a regulatory database, and can only handle a single event. The smart robot of the present invention is mature in interactive technology, and can intercept data through a smart robot combined with a wireless sensing network, and uses cloud ontology to conduct inferences of behavior, situational inference, or event inference, and the like. The operation mode enables the intelligent robot to achieve the advantages of a decentralized computing and learning environment with more antennae and more computational reasoning ability without increasing the ontology structure. Through the operation of the wireless communication network, intelligent robots can establish a decentralized learning context, learn the basic response from the simplest command-response mode, and the most complex collective intelligence exchange and cooperation in cloud computing mode learning. The ability to communicate and gain smart growth is the highest.

In the above, the ontology computing technology described in the present invention is mainly used to describe and explain the concepts and knowledge in the field, thereby expressing the relationship between the events existing in the knowledge domain and each other. For the concepts of Ontology computing technology and Case-based Reasoning (CBR) computing technology, refer to the following:

Ontology: can be divided into a combination of concepts, relationships, and instances. Concept: The scope of a plurality of underlying objects, that is, a collection of related concepts in various fields, through which the system can understand the meaning of the definition concept. Relation: The relationship between each concept and its instance in the domain knowledge described by Ontology. Instance: Used to describe the association between expression and relationship. The description connects each concept in the domain knowledge with the entity.

Case-based Reasoning (CBR) is an active database located at the back end of the Internet. It brings together related triggers (Triggers) and improved traditional databases into a proactive database (Active Database). The ECA (Event-Condition-Action) model is used to process the data in the active database, so that all information is no longer passively queried. The active database will be sensed by the sensing network and the three-axis accelerometer sensor. The situation actively informs the user that the user does not need to query the Query Language, thereby affecting the data notification time. First, the sensor sensing data is input into the active database, and then the trigger determines whether there are risk factors (Factors) present in the input data. When there is a risk factor, this message will be actively delivered to the user without waiting. In this case, the trigger factor can be sent to the sensor or environmental sensor mounted on the intelligent robot to report the danger to the alarm.

In the above, the main function of case-based reasoning is to compare new cases with the cases encountered in the past, and to estimate the problems encountered in the past and to produce the results of the recommendations. The main four steps of case-based reasoning are: taking out the four cases of Retrieve, Reuse, Revise and Retain. In this case, the case-based reasoning is to use the Euclidean Distance formula and calculate the error value with the mean relative error (MMRE) and the mean absolute error (MARE). The relevant formula is shown in formula (1):

(1) {1..i}

ED _i : The Euclid distance generated for the ith case.

Case _i : The ith case.

α, β, γ: Characteristic values of the new case.

α _i , β _i , γ _i : eigenvalues of the new case.

The minimum ED _i value calculated is the most similar evaluation value of the new problem encountered in this old case, and it can be inferred that the results of the two cases may be similar. However, the old and new cases are not completely the same. In the evaluation, an error value is generated. Therefore, the average relative error (MMRE) is used to judge whether the error value is too high, and the direction of the deviation is detected, as shown in formula (2). :

(2)

A _i : The actual value of the evaluation case.

E _i : Actual value of past cases.

TC: The total number of past cases.

Since the average relative error has positive and negative deviations, the error range is large or can be cancelled. Therefore, the formula for measuring the error value can adopt the mean absolute error (MARE) method, and it is hoped that the predicted deviation value can be detected by the average absolute error. As shown in formula (3):

(3)

After calculating the estimated value and matching the result of the error value, the inference is more accurate.

In summary, the smart computing distribution device of the present invention transmits the sensed signal to the intelligent computing distribution device via the network packet after the environment sensing is performed by the smart robot or the environmental sensor. The intelligent computing distribution device can selectively transmit the sensing and analyzing data to one or more of the plurality of computing devices according to the operation and distribution mechanism, so that the intelligent robot can pass through ontology (Ontology) ) Computing technology and Case-based Reasoning (CBR) computing technology to adjust the operating state of intelligent robots, and collect feedback messages, and integrate different application software through smart computing distribution devices to achieve a single interface. Control and interoperability. In addition, users can control smart robots through their mobile phones. In this way, the problem that the traditional robot can not consider the special situation and the need to continuously burn the data and modify the algorithm can be solved, so that the user, the smart robot, the mobile phone and the intelligent computing distribution device can interact instantly, so that the user can Get instant access to information and monitor your smartphone for effective tasks.

Looking at the above, it can be seen that the present invention has achieved the desired effect under the prior art, and is not familiar to those skilled in the art. Moreover, the present invention has not been disclosed before the application, and it has Progressive and practical, it has already met the requirements for patent application, and has filed a patent application according to law. You are requested to approve the application for this invention patent to encourage invention.

The above is intended to be illustrative only and not limiting. Any equivalent modifications or alterations to the spirit and scope of the invention are intended to be included in the scope of the appended claims.

100. . . Intelligent computing distribution device

110. . . First transmission unit

120. . . Processing unit

130. . . Second transmission unit

200. . . Arithmetic device

300. . . Mobile device

400. . . Environmental sensing device

500. . . Electronic device

Figure 1 is a first block diagram of a smart computing distribution device of the present invention.
Figure 2 is a second block diagram of the smart computing distribution device of the present invention.
Figure 3 is a schematic diagram of an embodiment of a smart computing distribution device of the present invention.

100. . . Intelligent computing distribution device

110. . . First transmission unit

120. . . Processing unit

130. . . Second transmission unit

200. . . Arithmetic device

300. . . Mobile device

400. . . Environmental sensing device

Claims (10)

A smart computing distribution device comprising:
a first transmission unit receives a mobile sensing signal generated by a mobile device after sensing the surrounding environment;
a processing unit electrically connected to the first transmission unit to analyze the motion sensing signal and generate a motion sensing analysis data; and a second transmission unit electrically connected to the processing unit, the processing unit is referred to Generating the data in the motion sensing analysis data to selectively transmit the motion sensing analysis data to one of the plurality of computing devices via the second transmission unit according to an operation allocation mechanism;
The operation device for receiving the motion sensing analysis data performs a route planning operation according to a specific computing technology to generate a route route data corresponding to the mobile sensing analysis data, and returns the route route data to the operation route. The second transmission unit transmits the route route data to the mobile device through the first transmission unit, so that the mobile device moves according to the route information. The smart computing distribution device according to claim 1, wherein the motion sensing analysis data is simultaneously transmitted to all of the computing devices via the second transmission unit for calculation, and each of the computing devices is separately generated. The route information is transmitted back to the second transmission unit to integrate all the route information through the processing unit to generate an integrated route route data, and the integration is performed by the first transmission unit. The route route data is transmitted to the mobile device, so that the mobile device moves according to the integrated route route data. The smart computing device according to claim 2, wherein the first transmitting unit receives an environmental sensing signal generated by an environment sensing device after sensing the surrounding environment, and the processing unit is And analyzing the environmental sensing signal to generate an environmental sensing analysis data, and transmitting the environmental sensing analysis data to the at least one computing device via the second transmission unit to perform an operation, so as to receive the environmental sensing analysis The computing device performs the route planning operation according to the specific computing technology to generate the route information data corresponding to the environment sensing analysis data or the integrated route route data. The smart computing device according to claim 3, wherein the first transmitting unit receives the mobile sensing signal and the environmental sensing signal simultaneously, and the processing unit transmits the motion sensing signal and the The motion sensing analysis data and the environmental sensing analysis data analyzed by the environmental sensing signal are integrated to generate an integrated sensing analysis data and transmitted to the at least one computing device via the second transmission unit for calculation. The computing device that receives the integrated sensing analysis data performs a route planning operation according to the specific computing technology to generate the route information data or the integrated route route data corresponding to the integrated sensing analysis data. The smart computing distribution device of claim 3, wherein the environmental sensing device is a wireless sensing network. The smart computing device of claim 1, wherein the mobile sensing signal sensed by the mobile device is selectively transmitted to the first transmitting unit via an electronic device. The smart computing distribution device according to claim 1, wherein the first transmission unit transmits a wired network, a Bluetooth, a third generation mobile communication (3G), a low speed short distance transmission (Zigbee) or a Wireless Fidelity (WiFi) for transmission. The smart computing distribution device according to claim 1, wherein the second transmission unit transmits a wired network, a third generation mobile communication (3G), a low-speed short-distance transmission (Zigbee), or a wireless area network. Wireless Fidelity (WiFi) for transmission. The smart computing distribution device according to claim 1, wherein the specific computing technology comprises an ontology computing technique or a case inference computing technique. The smart computing distribution device according to claim 1, wherein the mobile device comprises an infrared sensor, a thermal sensor, an ultrasonic sensor or a camera.