34results about How to "Reduce Human Intervention Factors" patented technology

The invention provides a dynamic regulating system of the mix proportion of a concrete mixing plant. The dynamic regulating system comprises a sensor measurement system, a signal transmitting system, a central control system and a data storage system. The system is used for detecting the aggregate water content on line via a water content sensor installed on the inner wall of a stock bin or below a material outlet, and transmitting the water content information collected automatically to the central control system of the concrete mixing plant in real time; concrete mix proportion parameters can be amended automatically by the system according to the operational rule of increasing the aggregate and reducing mixing water, and the amount of concrete aggregate blended materials and the amount of mixing water blended materials can be regulated simultaneously so as to guarantee the uniformity and stability of concrete quality; the whole dynamic regulation process can be completed within seconds without affecting the production efficiency, so that the system can be widely applied to the concrete mixing plant in the field of civil engineering, not only can improve the automation degree of the mixing plant and improve the production quality of concrete, but also can reduce the working intensity of operators and reduce the personnel configuration, thereby lowering the cost greatly.

The invention relates to a method and device for safety control and source-tracing tracking of a paper document. The method comprises the steps that (1) a client side inserts watermark information in the printed and output paper document by a printing control module; (2) when the printed paper document is copied, copying user identity authentication will be conducted by a copy control module, a user obtains scanning image data of the paper document after passing the identity authentication, the watermark information inserted into the paper document is extracted in real time, and then legality of a copy operation behavior is judged; (3) when the copy operation behavior of the paper document is judged to be legal, the watermark information will be inserted into the copied and output paper document once again; and (4) the copied and output paper document is converted into digital image data by digital equipment, and a watermark information extraction and recognition program is conducted for a document source-tracing tracking operation. According to the invention, technical puzzles in safety control output, source-tracking tracking of secrete divulgence and so forth during whole processes of paper document printing and copying can be solved uniformly.

A auto-focusing method of digital image acquisition device, includes the following steps : B : calculate the border information of the current frame value, compare this border information with the former border information, if the difference between them is greater than the threshold value which is one, let need_focus=need_focus+1, turn to E; C: calculate the average luminance of N current window frames, and compare this average l with the former average luminance of N current window frames, if the count of that the absolute value of the difference is greater than the threshold value of two is greater than four, let the focusYdiffcnt=focusYdiffcnt+1; D: if focusYdiffcnt is equal to need_focus +1, let need_focus=need_focus+1; E: if need_focus is greater or equal to three, activate the auto-focusing; G: on the frame of N return to A.

The invention discloses a decision support system for purchasing portion distribution of an enterprise, which comprises a supplier database module, a supplier evaluation system module and a purchasing portion calculation module; the supplier database module includes all kinds of data of all suppliers, the supplier evaluation system module is based on the supplier database module and converts all kinds of data of the supplier to the evaluation point of 0-100, and the total grade of each supplier is figured out by the purchasing portion calculation module according to the evaluation number to obtain the distribution portion of each supplier finally. The invention has the advantages that the existing data of each department of the enterprise is integrated, a reasonable and scientific model is employed, and the distribution index of the material to be purchased is figured out, so that the previous artificial interference factor formed in the establishment of the purchasing plan is reduced greatly. The invention can be applied as decision support when the large-scale enterprise makes the purchasing plan.

The invention relates to the field of Smart Rack and provides a method for BIOS (basic input output system) batch automatic upgrading of a Smart Rack integral cabinet. By node intercommunication, BIOS renovation of all servers is completed through batch operations under a system. Automatic IP acquisition of all servers is carried out through DHCP (dynamic host configuration protocol), and PXE (pre-boot execution environment) guide and OS (operating system) filling of the integral cabinet are finished; configuration of a renovation environment is finished through interconnection copying and configuration; BIOS renovation of the integral cabinet is finished finally through automated scripts. Compared with traditional DOS (disk operating system) or off-line BIOS upgrading, the method has advantages that BIOS efficiency is greatly improved by automatic batch operations, and execution omission rate of manual operations is decreased.

The invention relates to the technical field of artificial intelligence. The invention discloses an intelligent recovery system for electronic products. The system comprises: a database module, a calculation module, a system operation module and a terminal equipment module, the database module comprises an external resource module, a system operation module, a recovery standard module, a data acquisition module, a metadata module and a data processing module; the calculation module comprises a recovery level module, a system quotation module and a deep learning module; the system operation module comprises a system operation module body, an application operation module and a system security module; and the terminal equipment module comprises a man-machine interaction module, an identification acquisition module and an article circulation storage module. Accurate identification, self-service recovery and reasonable pricing of the electronic product are realized, the recovery work of the electronic product is completed through intelligent whole-process self-management and control, and the recovery service quality and the operation efficiency are improved.

The invention relates to a building material molding device capable of achieving automatic discharging. The device comprises a feeding unit, a molding unit and a discharging unit. The feeding unit is used for feeding mixed materials, the molding unit is used for molding the mixed materials, and the discharging unit is used for discharging the molded materials. The molding unit comprises a molding box, a supporting platform, a third conveying mechanism, a supporting platform, a first cylinder, a supporting plate, an infrared sensor, a mold head and a second cylinder. The discharging unit comprises a discharging platform, a third cylinder, a sliding channel mechanism, a sliding element, a driving mechanism, a fourth cylinder and a discharging plate. The building material molding device capable of achieving automatic discharging can achieve automatic discharging in the production process, human intervention factors in the process are few, labor intensity is low, continuity is high, machining efficiency is high, and the automation degree is high.

A method, an apparatus, and a device for classifying LiDAR point cloud data, and a storage medium. The method includes: acquiring sample point cloud data and LiDAR point cloud data to be classified; building a point cloud classifier according to the sample point cloud data; classifying the LiDAR point cloud data to be classified by the point cloud classifier. In the present disclosure, the point cloud classifier is trained from the sample point cloud data, and the automatic classification is performed by the point cloud classifier for the LiDAR point cloud data to be classified. The sample point cloud data used for training the point cloud classifier includes various tower data and electric power line data. Moreover, after the classification result is obtained from the automatic classification, the speckling merging optimization is further performed, and the optimization is performed according to the tower position file and the preset optimization rule.

The invention relates to a vertical roller gap calibrating method. The method comprises following steps: according to the central line of a vertical roller inlet rack roller and the central line of a vertical roller outlet rack roller, the rolling central line is determined; the measuring roller gap of an operation side vertical roller is measured, that is, the shortest distance between the rolling central line and the operation side vertical roller is obtained; and the measuring roller gap of a drive side vertical roller is measured, that is, the shortest distance between the rolling central line and the drive side vertical roller is obtained. According to the measuring roller gap of the operation side vertical roller, the measuring roller gap of the drive side vertical roller and the calibrating formula, a calibration roller gap of the operation side vertical roller after the vertical roller is replaced and a calibration roller gap of the drive side vertical roller after the vertical roller is replaced are determined; and according to the vertical roller gap calibrating method, calibration is accurate, the method is easy, time is saved, the human intervention factor can be reduced, the product quality can be obviously improved, and the large camber capable of generating the width and the vertical roller area is avoided.

The invention discloses a system for traveling track identification and a data acquisition device of the system. The data acquisition device comprises a processor, a first acquisition module, a locating module, a second acquisition module and a storage module. The first acquisition module is used for acquiring control instruction information, response message information and vehicle condition information through a CAN bus of a vehicle, wherein the control instruction information is sent by an electronic control system of the vehicle to an executable unit, and the response message information and the vehicle condition information are sent by the executable unit to the electronic control system; the locating module is used for obtaining position information and driving direction information of the vehicle; the second acquisition module is used for acquiring fault information of the vehicle from a vehicle diagnostic system; and the storage module is controlled by the processor to be used for storing the information acquired by the first acquisition module, the locating module and the second acquisition. Through implementation of the technical scheme, an active operation behavior of a driver, vehicle conditions and fault conditions of all systems of the vehicle obtained before and after accidents can be restored, and the factor of manual intervention in the accidental evaluation process can be reduced, so that a traffic accidental evaluation result or insurance claims are more accurate and reasonable.

The invention discloses a metering and cold charging device of a cold charging constant-temperature box. The device is internally provided with a support, and a cold charging agent storage box, a refrigerating device and a controller are arranged in the support; and the refrigerating device comprises a heat exchanger, a liquid outlet pipeline and a liquid return pipeline are arranged on the cold charging agent storage box, external connectors are both arranged on the liquid outlet pipeline and the liquid return pipeline, a temperature sensor is arranged on the liquid return pipeline, and the temperature sensor is electrically connected with the controller. According to the device, the temperature sensor is arranged on the liquid return pipeline, the temperature change of the temperature sensor is monitored, so that whether the cold charging of a coolant of a heat preservation box is finished or not can be accurately judged.

The invention discloses a novel drum type scouting machine. The novel drum type scouting machine is mainly used for the pre-treatment of the textile industry. A round drum is arranged in a main cylinder body, a main circulation pump, a heat exchanger, a filter and the like are arranged at the outside, and a main scouting solution circulation loop is formed through connecting with the main cylinder body through a pipeline. The scouting solution performs forced circulating flow in the loop through the main circulation pump, the processed textile is placed in the drum, a transmission system of the equipment drives the drum to rotate to rotate the textile, and relative movement with high speed is generated between the rotating textile and flowing scouting solution. The novel drum type scouting machine has advantages of large cloth capacity, small bath ratio, water saving, energy saving, high automatic degree, convenience in operation and good technological reproducibility.

Disclosed is an automatic mixing device for an open mill. The automatic mixing device for the open mill is mainly composed of the open mill, an automatic rubber turning circulating device and an automatic rubber pounding device, wherein the automatic rubber pounding device is arranged on the upper portion of the open mill and can perform automatic rubber pounding on rubber. The automatic rubber turning circulating device is arranged to collect the rubber from the lower portion of the open mill, convey the rubber from the back side and then return to the upper portion of the open mill. The automatic rubber turning circulating device comprises a vertical rubber turning belt and achieves circular conveying of the rubber in the open mill through the circular rotation of the vertical rubber turning belt. By means of the device, the mixing process can be set according to the rubber characteristic, and functions of automatic rubber turning and uniform mixing of the open mill are achieved; the automatic production degree is improved, and accordingly human intervention factors are reduced, the uniformity of the rubber mixing process is guaranteed, the rubber performance stability is guaranteed, and the operation safety is improved; besides, by the cooperation of relevant equipment of spraying, cooling drums and automatic correction and the like, the temperature of rubber and the temperature of the equipment can be controlled effectively and conveniently, and the stable operation of the equipment and the stability of the quality of the rubber are further guaranteed.

The invention relates to a multifunctional home security system based on a network server, including a communication network, a digital set-top box, an auxiliary control unit, a facial recognition camera, a monitoring camera, a photosensitive sensor, an infrared alarm device, a microphone, a digital TV, a mobile communication terminal and a community Security alarm service platform, the digital set-top box is respectively connected with the auxiliary control unit, digital TV and community security alarm service platform through the communication network, and the auxiliary control unit is respectively connected with the communication network, facial recognition camera, surveillance camera, photosensitive sensor, infrared alarm device, microphone , digital TV, mobile communication terminal and community security alarm service platform connection. The system of the present invention is simple in structure, good in versatility, fast in data processing speed, strong in data communication ability, and high in automatic operation degree. While greatly improving the safety of data communication, it also effectively reduces human intervention factors and improves monitoring data transmission. stability and reliability.

It is a method of how to start automatic focusing. Automatic focus when digital image adopt setting is starting. Then every M frame carries through approaches as follows. Obtain the statistical value of current frame: AF_datachange[i]; Bases on AF_datachange of every window of current frame, count the number of AF_datachange that threshold above 1 of the windows which weight is not 0: win_count; If win_count above 2, make need_focus=need_focus+1; If need_focus above 3, start automatic focusing, obtain statistical value of corresponding frame AF_data2[i], make: AF_data1[i]=AF_data2[i]. Or don't start the operation of automatic focusing.

The invention discloses a hinge model identification method and a robot operation method. The hinge model identification method comprises the steps: (1) enabling an end effector to grab and pull a handle of a hinged object, and recording the pose of the end effector at each moment; (2) obtaining a pose relation between two rigid parts at each moment through calculating to serve as a training sample; (3) setting a hinging model of the hinged object, and obtaining the probability of occurrence of the pose relation between the two rigid parts of a certain hinging model at a certain moment according to the transformation degree of freedom between the two rigid parts; and (4) obtaining a likelihood function of the pose relation between the two rigid parts of a certain hinge model through calculating, and selecting the hinge model capable of enabling the likelihood function to obtain a maximum value as a final hinge model. According to the method, a motion model of the hinged object is automatically generated through active operation of a robot on the hinged object, the parameter identification process is completed, operation of the robot on the object of which the hinge model is unknown is greatly simplified, and the application range of the robot in a complex environment is widened.

According to the method for realizing one-key shutdown and recovery of the IPTV multi-type video services, through built-in core operation and built-in core information, an operator only needs to perform one-key operation according to a fault scene, shutdown / recovery operation of a specified channel can be realized, the requirement of second-level shutdown is met, human factors are reduced, the operation accuracy is improved, and the misoperation risk is reduced.

The invention discloses an industrial economy development condition monitoring method based on energy power big data. The method comprises the following steps: step 1, constructing a power index evaluation system; step 2, carrying out industrial economy data extraction according to a power index evaluation system of industrial economy, including data extraction code writing, system data extraction and mass data merging, so that basic data required by model calculation is formed; step 3, giving a reasonable decision index weighting method according to an internal statistical rule and an authority value between the basic data; step 4, according to the economic model, carrying out running calculation on the basic data to obtain an index weight and a bottom-layer index score, and according to the index weight and the bottom-layer index score, carrying out index calculation by using an index calculation formula; and step 5, carrying out data reorganization again according to the index score, and mining generality and personality laws shown in the data. According to the method, the industrial development condition can be accurately analyzed in the electric power field.

A method of starting auto-focus, when the digital image capture device starts auto-focusing, and then performs the following steps every M frames: Obtain the statistical value of the current frame: AF_datachange[i]; according to each window corresponding to the current frame AF_datachange[i] calculates the number of AF_datachange[i] corresponding to the window whose weight is not 0 exceeds threshold 1: win_count; when the above win_count value exceeds threshold 2, set need_focus=need_focus+1; when the above need_focus value is greater than threshold 3 , start the auto focus, and obtain the statistical value AF_data2[i] of the corresponding frame, make: AF_data1[i]=AF_data2[i]; otherwise, do not start the auto focus operation.

The invention discloses a single-point lossy compression method and a single-point lossy compression device for a real-time database of an industrial internet of things. The method comprises the following steps: firstly, reading continuous real-time data of an appointed number of times, and calculating the upper and lower limits of an initial slope and a slope limit rate according to corresponding real-time collected data and an error allowable range; new data are read in, and new slope upper and lower limits are calculated in combination with a slope limit value rate interval; and comparing the slope upper and lower limits of the new data with the current slope upper and lower limits, and determining whether to store the new data. Aiming at the problems that an industrial internet-of-things real-time system generates a large amount of data in a short time, data redundancy is high, the requirement for real-time performance is very high, and the compression ratio and the reduction precision of an existing lossless compression algorithm still have a space for improving the compression ratio and the reduction precision and the like, through dynamic correction and prediction, quick and efficient lossy compression is carried out on real-time data, and the real-time data compression efficiency is improved. The requirement of the system on the reduction precision can be met while the compression ratio is improved, and the method can be suitable for the storage requirement of a real-time database in the industrial Internet of Things.

The present invention relates to the technical field of artificial intelligence, and discloses an electronic product intelligent recycling system. The system includes: a database module, a calculation module, a system operation module and a terminal equipment module. The database module includes an external resource module, a system operation module group, recycling standard module, data acquisition module, metadata module and data processing module, the calculation module includes recycling grade module, system quotation module and deep learning module, and the system operation module includes system operation module Module, application operation module and system security module, the terminal equipment module includes a human-computer interaction module, an identification collection module, and an item circulation and storage module. The present invention realizes accurate identification, self-service recovery and reasonable pricing of electronic products, intelligent The whole process of self-management and control has completed the recycling of electronic products, improving the quality of recycling services and operating efficiency.

The invention belongs to the technical field of management, and discloses an urbanization environment big data public benefit interaction system and method based on artificial intelligence. Classification identity authentication is carried out on the registration identity selected by the user; the verified public welfare activity organizers publish corresponding public welfare activities, and participation qualification of volunteers of the public welfare activities or people number limitation related information are limited; the system automatically audits the submitted registration application; the volunteer or the public welfare activity organizer performs public welfare interaction in an online donation or offline donation article form; the system automatically counts related data of all related users, donations and public welfare activities, and publishes the data. An alternating current channel is provided for both parties; meanwhile, the system automatically completes data statistics work, full transparency of data and openness of donation funds are guaranteed, human intervention factors are reduced, and the transparency of the platform is improved; reliable reference information can be provided for other volunteers and public welfare activity organizers.

A method for starting autofocus of a digital image capture device, comprising: B: calculating the boundary information value of the current frame, and comparing it with the boundary information value after the previous autofocus is completed, if the absolute value of the difference between the two is greater than the threshold value 1 , then set need_focus=need_focus+1, go to E; C: Calculate the average brightness of each window in the N windows of the current frame, and compare it with the average brightness of each window in the N windows after the previous auto-focus is completed Compare separately, if the absolute value of the difference is greater than threshold 2 and the number is greater than threshold 4, then set focusYdiffcnt=focusYdiffcnt+1; D: if focusYdiffcnt is equal to need_focus+1, then set need_focus=need_focus+1; E: if need_focus≥ Threshold 3, then start autofocus.

A power distribution automation terminal intelligent warehouse dispatching system disclosed by the present invention comprises a distribution network automation master station part and a warehouse part, the distribution network automation master station part comprises a distribution network automation master station preposition and a master station server; the master station server is deployed in a master station machine room and is used for receiving a diagnosis result sent by a warehouse end, counting and analyzing the diagnosis result, and discovering defects of a terminal family timely. According to the terminal familial defect diagnosis method and system, automatic testing can be achieved, the automation level and the operability level of a production unit in the arrival casual inspection and field test process can be improved, and the working efficiency of the testing process is improved; closed-loop management of a test process can be realized, human intervention factors in the test process are reduced, personnel investment in the test process is reduced, and authenticity and reliability of a test result are improved; and test data and test results can be transmitted to background software for unified storage and management, and traceability of the test data is guaranteed.

The invention relates to the field of intelligent identification technology, and discloses a category identification and defect identification method of an electronic product and its application, wherein the category identification method includes: formulating category catalogs and codes, and preset category database; Identify the characteristic information of electronic products, compare the category database and the category identification metadata database; the defect recognition method uses the defect recognition method to preprocess the image information and interactive interface information of electronic products to identify its various defect categories; the invention can quickly and accurately automatically identify The category and defect type and degree of electronic products, determine the recycling value of the electronic product and its recycling method and flow, standardize the electronic product recycling pricing mechanism, recycling grade classification standard and price system, optimize and improve recycling service quality and operation efficiency.

The invention discloses a system for traveling track identification and a data acquisition device of the system. The data acquisition device comprises a processor, a first acquisition module, a locating module, a second acquisition module and a storage module. The first acquisition module is used for acquiring control instruction information, response message information and vehicle condition information through a CAN bus of a vehicle, wherein the control instruction information is sent by an electronic control system of the vehicle to an executable unit, and the response message information and the vehicle condition information are sent by the executable unit to the electronic control system; the locating module is used for obtaining position information and driving direction information of the vehicle; the second acquisition module is used for acquiring fault information of the vehicle from a vehicle diagnostic system; and the storage module is controlled by the processor to be used for storing the information acquired by the first acquisition module, the locating module and the second acquisition. Through implementation of the technical scheme, an active operation behavior of a driver, vehicle conditions and fault conditions of all systems of the vehicle obtained before and after accidents can be restored, and the factor of manual intervention in the accidental evaluation process can be reduced, so that a traffic accidental evaluation result or insurance claims are more accurate and reasonable.

The invention discloses a washing appliance durability testing device based on a mechanical arm. The washing appliance durability testing device comprises a six-degree-of-freedom mechanical arm, a suction cup mechanism, a door pushing mechanism, a rotary knob mechanism, a finger imitation mechanism, a clamping hook mechanism, a touch screen, a connecting arm, a supporting frame, belt wheel groundfeet and a to-be-tested sample machine. The tail end of the six-degree-of-freedom mechanical arm is connected with a manipulator; the mechanical arm is formed by combining the suction cup mechanism, the door pushing mechanism, the rotary knob mechanism, the finger imitation mechanism and the clamping hook mechanism. The supporting frame is arranged at the bottom of the mechanical arm, and the inner space of the supporting frame is used for containing an electric control system composed of an air switch, a terminal plate, a motion controller, a PLC and the like. The left side of the supportingframe is connected to the connecting arm, the touch screen is installed above the connecting arm, and the four belt wheel ground feet are arranged at the bottom of the supporting frame. According to the invention, tests of opening and closing a door (cover), panel keys, a push-pull drawer and the like of the washing appliance can be carried out by three-dimensionally simulating hands, the operation is simple, the maintenance is convenient, and the application and popularization values are higher.

The invention relates to a method and device for safety control and source-tracing tracking of a paper document. The method comprises the steps that (1) a client side inserts watermark information in the printed and output paper document by a printing control module; (2) when the printed paper document is copied, copying user identity authentication will be conducted by a copy control module, a user obtains scanning image data of the paper document after passing the identity authentication, the watermark information inserted into the paper document is extracted in real time, and then legality of a copy operation behavior is judged; (3) when the copy operation behavior of the paper document is judged to be legal, the watermark information will be inserted into the copied and output paper document once again; and (4) the copied and output paper document is converted into digital image data by digital equipment, and a watermark information extraction and recognition program is conducted for a document source-tracing tracking operation. According to the invention, technical puzzles in safety control output, source-tracking tracking of secrete divulgence and so forth during whole processes of paper document printing and copying can be solved uniformly.