1292results about How to "Learn about features" patented technology

The invention discloses a lower limb exoskeleton rehabilitation robot in the technical field of medical equipment. The lower limb exoskeleton rehabilitation robot comprises an ankle joint motion module, a knee joint motion module, a hip joint motion module, a hip and support module and a crutch module, wherein one end of the knee joint motion module is connected with the ankle joint motion module, and the other end of the knee joint motion module is connected with the hip joint motion module; the hip and support module is connected with the hip joint motion module; and the crutch module is independent of an exoskeleton body. The lower limb exoskeleton rehabilitation robot can help patients who suffer from paraplegia stand up and walk, and the bend and stretch motion of a knee joint and a hip joint is controlled by collecting contact information of a crutch and the ground so as to help the patients to stride; and an oppositely-pulled spring of the knee joint can help to reduce impact from the ground, so that patients can walk comfortably, and the efficiency of rehabilitation training is improved.

The invention discloses a wireless illumination control system which comprises a remote controller, a system manager, a plurality of dimmers, a plurality of drivers and a plurality of lamps, wherein the remote controller is in coupling connection with the system manager; the system manager is in coupling connection with each dimmer; commands are sent to the system manager by the remote controller; the system manager is used for converting the commands into control signals and sending the control signals to the corresponding dimmer; the dimmers are used for converting the control signals into dimming control signals and transmitting the dimming control signals onto the corresponding drivers; each driver is used for ensuring the corresponding lamp to emit light on the corresponding brightness level according to the corresponding dimming control signal; a plurality of lamps can be divided into a plurality of groups; a plurality of groups of lamps correspond to the setting of G keys on the remote controller; and the setting of one group of G keys can be named one scene S. According to the invention, 50 or more dimmers can be conveniently controlled, a range of 50 meters can be covered and the energy consumption of the remote controller is obviously reduced.

The invention discloses a method for identifying abnormal motion in a video. The method comprises the steps that an area of which the pixels have certain change is extracted from a video sequence through a foreground extraction module; a movement target detected by the foreground extraction module is judged through a pedestrian judgment module, and a rectangular box judged to be a pedestrian is kept and transmitted to a target tracking module; each identified target in the scene is continuously tracked in a multi-target way through the target tracking module; the posture of each target tracked by the target tracking module within each frame of time is judged through an abnormal behavior trigger module and behavior analysis is performed on the abnormal behavior; and the abnormal behavior is processed and computed into a video segment through a behavior identification module, and the abnormal behavior is alarmed and the behavior type of the abnormal behavior is identified. The invention also discloses a system for identifying the abnormal motion in the video. The problem that abnormal behavior (falling down) detection of massive video data cannot be performed in real time can be solved and the detection accuracy can be greatly enhanced.

The invention relates to a battery management system. The battery management system comprises a monitoring device, a mobile terminal and a cloud processor, wherein the monitoring device is used for detecting and transmitting working parameters of each single battery in real time when the battery is charged or discharged, comparing the working parameters of the single battery with the standard parameters, automatically adjusting the working state of the single battery when the working parameter exceeds the standard parameters and transmitting alarming information; the mobile terminal receives and displays the alarming information; the cloud processor receives and stores the working parameters. The invention aims at providing the battery management system, the voltage and temperature of the single battery are monitored and recorded in real time, the working state of a battery pack and the charging-discharging times are detected, and the integral temperature of the battery pack is detected, so that the working state of a charging-discharging device and a heating device is controlled, the functions such as battery quantity management, temperature management, fault pre-judgment and diagnosis and the like can be realized, and the safety and reliability of the battery can be guaranteed; a great amount of data is stored in a cloud server and can be pushed to enterprises for producing the battery or he battery management system users.

The invention discloses a preparation method and application of a carbon-coated grapheme-based metal oxide composite in a two-dimensional core-shell structure. The carbon-coated grapheme-based metal oxide composite in the two-dimensional core-shell structure is prepared by taking the two-dimensional grapheme in a single-layer carbon atom structure as a carrier and the phenolic resin or polysaccharide as the carbon source precursor. The metal oxide nanoparticles obtained by the method are uniformly loaded on a graphene sheet and well coated in the carbon-coated layer. The preparation method has the advantages of simple process, mild condition and low cost. The Electrochemical tests prove that the carbon-coated grapheme-based metal oxide composite in the two-dimensional core-shell structure has excellent cycle stability and rate properties. The experiments prove that: under the charge and discharge current of 200mAhg<-1>, the tin dioxide material has the discharge capacity of 200mAhg<-1>, and the ferroferric oxide material has the discharge capacity of 930mAhg<-1>. Therefore, better experimental data and theoretical support are provided for the research and the application of the metal oxide in the field of electrochemistry.

The invention discloses a capsule endoscope magnetic control navigation device for medical treatment. The capsule endoscope magnetic control navigation device for medical treatment is used for actively controlling movement of capsules in the use process of a capsule endoscope, so that the stomach wall can be completely and effectively detected. The device comprises a hybrid magnetic field generator, a multi-DOF (multi-degree of freedom) motion mechanism and a controller, wherein the multi-DOF motion mechanism is used for carrying the hybrid magnetic field generator to move in a detection area so as to adjust spatial distribution of a magnetic field; the hybrid magnetic field generator comprises a permanent magnet and an electromagnetic coil, can generate a strong magnetic field used for guiding the capsules to move and can adjust the intensity of the magnetic field to a certain degree according to control signals; the controller controls the multi-DOF motion mechanism to move by receiving a control instruction of an operator and feedback signals of a sensor and controls coil current of the hybrid magnetic field generator. The device can guide the capsule endoscope to move in the stomach of a human body in the fixed modes including floating, fixed point floating, posture adjustment and the like, and accordingly, the capsule endoscope can automatically and completely detect the whole stomach wall.

The invention discloses an adjudication document annotation method and device based on a machine learning algorithm. The method comprises the following steps that: collecting the text set of adjudication documents to be annotated; carrying out structure segmentation on texts in the text set; establishing a semantic tag library; on the basis of the semantic tag library, carrying out manual annotation on the adjudication documents to be annotated; selecting parts of adjudication documents subjected to the manual annotation as a standard dataset to be handed for machine learning, and training andoptimizing a preliminary annotation model; selecting residual parts of adjudication document models subjected to the manual annotation to obtain a mature adjudication document annotation model; and after a target adjudication document to be annotated is segmented, inputting into the mature adjudication document annotation model to obtain an annotation result. Through the method, the problem in the relevant art that adjudication document legal elements are not completely extracted and case information extraction accuracy is low is solved.

The invention discloses a rapid manufacturing method for sprayed and cured molding sand. The rapid manufacturing method is characterized by comprising the following steps: molding sand is mixed with a curing agent in advance, and diluted resin is sprayed onto the molding sand mixed with the curing agent through a spray; through powder layering and resin spraying, the molding sand with sprayed resin is cured, and then adhesive forming is realized; the formed layers are heated for drying; the entity of a casting mold is formed through layer-by-layer printing, stacking and curing, and then the strength of the casting mold is improved through further drying. Through adoption of the rapid manufacturing method, the problem that the amount of gas evolution of the casting mold is overlarge can be solved through reduction of the resin consumption, the spray is protected from blockage, the curing speed is increased, the assembly quality of the casting mold and a mold core is improved, and finally the casting mold with relatively high strength is obtained.

The present invention provides a digital certificate control method of access control system, the control master transmits a random code to USB Key when the USB Key is connected to the interface circuit, the USB Key uses inner key encryption to generate cryptograph and transmits to the control master, the control master USB Key of the digital certificate and decoding the received cryptograph to cleartext, the control master compares the cleartext with the random code, when the comparing result is identical, the indentity of USB Key holder is determined; the control master transmits opening command to open lock mechanism after determining legal identity and access permision of the holder, when USB Key breaks the connection with the interface circuit, the control master transmits closing command, the locking mechanism is closed. The invention also provides an access control system applying the above method, including an access control system, an inner key, a digital certificate and a USB Key of digital signature and a locking mechanism. The access control method and system of the invention has convenience, high security and high credibility.

The invention discloses a map feedback correction method of an inertial navigation system. A micro-control processing unit, an inertial sensing unit, a GPS signal-receiving module, a navigation software module and an electronic map database are matched to establish path-planning point information; measuring information is provided by the inertial sensing unit to the micro-control processing unit for processing so as to generate inertial navigation path point information when no GPS signal is received; correction value information is generated by comparing the prior latitude and longitude information on the path-planning point information and the inertial navigation path point information; and then, accumulated errors generated by the inertial sensing unit is corrected by the correction value information to improve the positioning precision. The map feedback correction method of the inertial navigation system corrects the accumulated errors of the inertial navigation system by the latitude and longitude information provided by the electronic map database.

The invention provides a touch operation method of a touch screen and a touch screen device. The method comprises the steps that operation areas of the touch screen are divided, the divided operation areas are displayed at the same time on the touch screen, and each operation area is respectively corresponding to different touch operation modes; and the touch operation of the touch screen is acquired, the operation area where the touch operation happens is judged, the touch operation is identified according to the touch operation mode corresponding to the operation area, and the corresponding operation is executed. The touch screen can be divided into a gesture operation area and a screen sliding operation area. According to the invention, the surplus operation area of the screen is fully utilized, the collision problem when the screen sliding and gesture operation modes of the touch screen are used at the same time is solved, the screen sliding operation and the gesture operation can be carried out at the same state, and the operation convenience of the touch screen is improved.

The invention discloses a precise polishing robot system for large-caliber complex optical lenses. The precise polishing robot system comprises an optical lens polishing robot module, a sensor module, a signal processing computer module and an active compliance control module. The polishing robot integrates a processing part, and the active compliance control module controls the rotation speed of a polishing disc and trajectories of the polishing robot. An error curved surface adaptive trajectory planning module of the signal processing computer module enables removed curved surfaces to be close to error curved surfaces as much as possible, and accordingly, the convergence rate is improved effectively. The precise polishing robot system has the advantages of high integration level and convergence speed.

The invention discloses a flexible graphene composite film and a preparation method thereof. The preparation method comprises the following steps of: based on oxidized or reduced graphene and organic polymer or micromolecule with a special functional group as raw materials, forming a uniform composite material by utilizing the interaction of a surface functional group of graphene and an organic molecule group, and preparing the graphene composite film on the surfaces of different substrates through methods of spin coating, spraying and the like. According to the preparation method disclosed by the invention, by utilizing an electron withdrawing group, an electron-donating group or a conjugate group in the organic polymer or micromolecule, the hole or electron concentration on the surface of a graphene electrode is increased, the work function of the electrode is controlled, the conductivity of the graphene electrode is improved, and the application range of a device is widened. According to the flexible graphene composite film disclosed by the invention, because the interaction among the groups is utilized, the compatibility of the prepared composite film is better, the structure is uniform, and the flexible graphene composite film is suitable for the photoelectric field of solar batteries, sensors, organic light-emitting diodes, touch screens and the like.

The invention relates to the field of computer network security and discloses a blockchain-based threat intelligence exchange and sharing system comprising a login filtering module, a blockchain-basedsecurity wallet module, a sharing community, an expert representative review module and a threat intelligence reputation database. Threat intelligences form an exiting security manufacturer and security expert individual are original inputs of the threat intelligence exchange and sharing system; and threat intelligences inputted by individual users subsequently are stored into the threat intelligence reputation database after examination and verification of effectiveness by expert representatives. According to the invention, threat intelligences of all sources are collected and the collectedthreat intelligences are stored and updated by the blockchain, so that the timeliness and effectiveness of threat intelligence sharing as well as the threat intelligence sharing security, confidentiality and privacy are improved.

An ultra-precise processing integrated platform for a large caliber optical mirror surface solves the problem that processing and detection are not integrated while processing the large caliber optical mirror surface in the conventional optical processing technical field. The platform integrates grinding, detection and milling for processing the large caliber optical mirror surface, and comprises a base, a horizontal moving device, a rotation device, an ultra-precise grinding device, a mirror surface detection device and a milling device, wherein the horizontal moving device drives the rotation device to move to a workpiece mounting position, a grinding position, a surface shape detection position and a milling position in a horizontal direction; a vertical moving device drives a spindle system and a diamond grinding wheel to move up and down in a vertical direction; the spindle system can adjust the inclined angle of the diamond grinding wheel; the diamond grinding wheel has a cambered surface; when in the workpiece mounting position, the rotation device can conduct cambered surface grinding on a workpiece; when in the surface shape detection position, the rotation device can conduct surface shape detection on the workpiece; when in the surface shape detection position, the rotation device can mill the workpiece.

The invention discloses a method for product tracing and counterfeiting prevention. The method includes the following steps that: a user client end is utilized to input the serial number of a product to be queried; the user client end is utilized to transmit the serial number to an analysis processing module; the analysis processing module obtains a product resume relates to the serial number from a database according to the serial number, wherein the database stores serial numbers and product resumes related to a plurality of products, wherein the product resumes of the products include one kind or a plurality of kinds of information selected from brand information, production information, transfer information, storage information, trading information and query historical records of the products; and the analysis processing module performs analysis according to the obtained product resume so as to judge whether the product to be queried is authentic or not, and transmits a judgment result to the user client end. According to the method of the invention, the product resumes are established, so that information inquiry, counterfeiting prevention and tracing of products can be realized, and therefore, problems such as regional cross-region sales, counterfeits and unknown sources of smuggled goods can be effectively solved, and tracing and counterfeiting prevention of the products can be realized.

A system for detecting APT attacks based on DNS log analysis comprises a DNS query log recording module, a log analysis module and an attack detection module. Detection of the APT attacks is achieved through the detection system. A method for detecting the APT attacks based on DNS log analysis includes the steps that firstly, DNS query requests are collected through the DNS query log recording module, and then DNS query logs are formed; secondly, pattern matching is conducted on the DNS query logs and SSH login attempt information through the log analysis module, and computing time density, the coverage area and time correlation are analyzed; thirdly, the SSH login attempt information is grouped according to a source IP address; fourthly, the attack detection module judges whether the attacks happen or not and determines the types of the attacks according to the result of the log analysis module. The method is in a lightweight class attack detection mode, consumed resources are far smaller than resources required for analyzing whole network flow, the log analysis mode is adopted, a network does not need to be monitored in real time, and therefore the network is hardly affected.

The invention relates to a gluing device, a use method and products thereof. The gluing device comprises a vacuum cup, a platform arranged above the vacuum cup, a scraper moving module arranged above the platform movably and a scraper structure arranged on one end of the scraper moving module. The tail end of the scraper structure is an arc surface. The steps of the use method of the gluing device are as follows: putting an objected to be glued on the vacuum cup; putting one steel plate or one screen on the platform; setting glue in a pre-calculated volume on one side of the steel plate or screen; and then moving the scarper structure to drive the glue from one side of the steel plate or screen to the other side so as to coat the glue on the object to be glued. Since the scraper structure has the arc surface, the invention can coat the glue on the object to be glued smoothly.

The invention provides an automatic calibration device of a robot monocular vision guiding system. The automatic calibration device of the robot monocular vision guiding system comprises a mechanical arm driving module, a camera communication module, an image acquisition module, a camera calibration module, a hand-eye calibration module and an interactive interface, wherein the image acquisition module is used for managing movement of a mechanical arm during calibration and acquiring calibration plate images shot by a camera; the camera calibration module transfers a calibration plate image set in the image acquisition module, so that corresponding camera internal reference, external reference and lens distortion coefficients are generated; and the hand-eye calibration module transfers the calibration plate image set in the image acquisition module and the corresponding camera internal reference, external reference and lens distortion coefficients in the camera calibration module, and a transformation relation between a coordinate system of the camera and a coordinate system of the tail end of the mechanical arm is obtained by calculation.

The invention discloses a public bicycle renting personal terminal service system. The public bicycle renting personal terminal service system comprises an intelligent cloud platform, an electronic bicycle lock, and a cell phone client, which are communicated with each other. The intelligent cloud platform comprises a GPS signal receiving device, a timer, a data management platform, an electronic bicycle lock unlocking locking program and signaling emitter, an identity verification program, and a payer verification program. The electronic bicycle lock comprises a GPS positioning system, and a numeric keyboard used for supporting password input unlocking and password input locking. The cell phone client comprises a registration submitting program, a payment binding program, a bicycle borrowing rreserving system, a bicycle returning program, and a user logout program. By adopting information convergence and feedback mechanism of three large plates, and five steps of realizing system operation:1, registration, 2, bicycle borrowing, 3, bicycle returning, 4, paying, and 5, logout, human resource management costs and labor time spent for bicycle borrowing, bicycle returning, and paying are greatly reduced, and the efficiency, the economy, and the operation maintenance, and other aspects of the public bicycle management are obviously improved.

The invention discloses a real-time approximate frontal face image optimizing method and system based on several cameras. The real-time approximate frontal face image optimizing system comprises a three-camera system capable of adjusting angle and a software system calculating frontal face direction confidence score by multiple threads. The software system detects a human face area and tracks the human face by the CT algorithm, and by adopting SDM algorithm matching characteristic points, confidence score data is given. The confidence score is valued within 0.0 to 1.0 and directly shows frontal direction degree of the human face, and the larger the value is, the closer the human face to the frontal direction. In the main thread, confidence scores of three threads are compared by the algorithm uninterruptedly, the images of the maximal confidence score are used output by the system, and the frontal face images are automatically optimized in real time. The method and the system can be used for information preprocessing of a face identifying and tracking system, and provides excellent frontal face image data for subsequent analysis processing.

The invention discloses an egg-based method for realizing hydrothermal synthesis of carbon quantum dots, which comprises the following steps: taking an egg, separating the egg white and the yolk, diluting the egg white or the yolk, centrifuging to remove insoluble substances, putting in a hydrothermal reaction kettle, performing hydrothermal reaction at 140-220 DEG C for 6-48 hours, centrifuging again, and performing dialysis treatment to obtain carbon quantum dots. The novel method for realizing hydrothermal synthesis of carbon quantum dots, provided by the invention, avoids use of low-temperature plasmas and other noble instruments.

The invention discloses a mixed digital-analog pre-coding method for a large-scale MIMO system. The method comprises steps that an ideal pre-coding matrix is calculated by a transmitting end; pre-coding matrixes of a simulation domain and a digital domain are respectively calculated by the transmitting end; a sending signal is pre-coded by the transmitting end; an ideal merging matrix is calculated by a receiving end; merging matrixes of the simulation domain and the digital domain are respectively calculated by the receiving end; receiving signals are merged by the receiving end. The method is advantaged in that a problem of over-high realization complexity of a mixed digital-analog domain pre-coding scheme in the prior art is solved, moreover, relatively high frequency spectrum efficiency is acquired, and innovation and practicality are realized.

The invention discloses an interface automation test method based on JMeter and Jenkins, which comprises the following steps: dividing service modules according to actual service scenarios, and preparing use cases corresponding to each service module according to use case modules; Runing JMeter to read the configuration file of each business module and obtain the code and data of the application example. Assembling The use case code and the use case data into test cases without signatures, and then sending to the server module through JMeter with HTTP request. Every time the test case is sentby JMeter with HTTP request, intercepting the HTTP request, calculating the parameters of the test case request, reassembling the test case, and re-sending the test case with signature to the server module by the signature algorithm. The server module returns the interface test result to the JMeter result output module according to the business scenario. The JMeter result output module judges whether the result is correct or not, and generates the corresponding test report. All test case collections will be written through JMeter and configured in Jenkins to execute at preset intervals in a loop.

The invention discloses a preparation method and an application of a graphene-based stannic oxide composite material with a three-dimensional structure. The preparation method disclosed by the invention is characterized in that graphene with a single-layer carbon atomic structure is used as a carrier, stannic chloride pentahydrate is used as a tin source precursor, and the graphene-based stannic oxide composite material with the three-dimensional structure is prepared through a hydrothermal freeze-dried method. The stannic oxide nanometer particles obtained by the method are uniformly loaded on a graphene skeleton to be assembled into aerogel with the three-dimensional structure very well. The electrochemical test proves that the graphene-based stannic oxide composite material with the three-dimensional structure obtained by the preparation method has excellent circulation stability and rate capability. Experiments prove that the discharge capacity of the stannic oxide material can reach 800mAh.g<-1> in 100mAh.g<-1> charge-discharge currents.

Disclosed in the invention is an apparatus for calibration of a laser triangulation system. The apparatus comprises a rotating platform, a top pin and a calibration cylinder; the calibration cylinder is fixedly arranged above the rotating platform; and the top pin is compressed at the upper surface of the calibration cylinder. In addition, the invention also discloses a calibration method for using the calibration apparatus. The calibration cylinder with a slit and checkerboard calibration boards is used as a tool; and on the basis of six steps, a slit image, a calibration board image and a laser image are collected and calculated in real time and whether the system calibration meets the preset requirement is determined. And at last, an imaging plane of a camera is in parallel with a reference plane; and an intersecting line of the laser and the reference plane is intersected with and is perpendicular to an optical axis of a lens. The provided method is simple and effective and can be mastered by an operator easily. Moreover, the adjustment precision is high; accuracy of the laser triangulation system can be effectively ensured; and thus the method and the apparatus have the good application prospects in the non-contact three-dimensional high-precision measurement field.

The invention discloses a high-performance intelligent shooting pan-tilt. A pan-tilt machine box is installed on a machine base through a steering ball; the upper part of the pan-tilt machine box is connected with a machine clamp through a motor and a three-axis bracket; the machine clamp is connected with the pan-tilt machine box through a connecting wire; the pan-tilt machine box is provided with a microprocessor, a triaxial micro-gyroscope, a triaxial accelerometer, a pressure sensor, an infrared image receiving device, an infrared signal receiving device, a battery device and a motor, wherein the triaxial micro-gyroscope, the triaxial accelerometer, the pressure sensor, the infrared image receiving device, the infrared signal receiving device, the battery device and the motor are electrically connected with the microprocessor; an input end of the infrared image receiving device is connected with an infrared ray transmitting device; the triaxial micro-gyroscope and the triaxial accelerometer are both electrically connected with the motor; an infrared remote controller comprises keys, an information processing module and an infrared signal transmitting device which are connected with one another in sequence; and the infrared signal transmitting device is wirelessly connected with the infrared signal receiving device of the pan-tilt machine box. Based on the triaxial micro-gyroscope, the triaxial accelerometer, the pressure sensor and an infrared identification tracking technology, the high-performance intelligent shooting pan-tilt disclosed by the invention can be used for automatically tracking a shot object and is excellent in performance and diversified in function.

The invention discloses a graphene / polyaniline composite membrane based pH detecting electrode. The graphene / polyaniline composite membrane based pH detecting electrode comprises an electrode body and a graphene / polyaniline composite membrane covering the outer surface of the electrode body, wherein the electrode body is selected from one of an ITO glass electrode, a stainless steel gold plated electrode and a gold disc electrode. The invention also discloses a preparation method of the pH detecting electrode. The preparation method comprises the following steps: (1) pretreating the electrode; (2) preparing electrolyte; and (3) carrying out electrochemical polymerization. The invention also discloses an application method of the pH detecting electrode. The pH detecting electrode is used for detecting the pH of a phosphate buffer solution, oxidation peak potential acts as a detecting signal, and the pH value within the range of 1-11 can be detected. Compared with a common pH detecting electrode, the graphene / polyaniline composite membrane based pH detecting electrode is smaller in size, is lower in price, is more convenient in detection, and does not require special treatment before and after use. The compounding of graphene and polyaniline obviously improves the pH detecting effect of the electrode.

The invention discloses a preparation method of mesoporous silicon-dioxide-coated single-wall carbon nanotubes. The surfactant molecules are fixed to the surfaces of the single-wall carbon nanotubes by a one-step process, and the coating growth of the mesoporous silicon dioxide shell is induced in a non-covalent bond mode, thereby implementing control on the thickness of the mesoporous silicon dioxide shell and eliminating the occurrence of the self-nucleation phenomenon of silicon oxide. The method can be used for modifying different functional groups on the external surfaces of the mesoporous pore wall and shell, so that the composite material can be easily dispersed in various solvents, thereby enhancing the dispersion stability of the single-wall carbon nanotubes; and meanwhile, the mesoporous pores can be used for loading and transmitting different guest molecules, and thus, the method has wide application prospects.

The invention relates to the field of community management, and particularly relates to a deep learning based smart safe community management system. The deep learning based smart safe community management system comprises a video monitoring module, a face recognition module, a vehicle information recognition module, a personnel hotspot distribution module, a vehicle trajectory analysis module, GIS electronic map and a big data cloud platform, and is characterized in that the video monitoring module, the face recognition module, the vehicle information recognition module, the personnel hotspot distribution module, the vehicle trajectory analysis module and the GIS electronic map are connected with the big data cloud platform through a network framework VPN channel. The beneficial effects are that the smart safe community management system combines a high-definition camera, extracts effective structured information from unstructured video information based on a deep learning algorithm, accurately recognizes face and vehicle information characteristics, quickly compares the face and vehicle information characteristics, integrates and links systems of a community and improves the management decision-making ability.